babi_qa

Referencias:

es-qa1

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-qa1')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-qa2

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-qa2')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-qa3

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-qa3')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-qa4

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-qa4')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 1000
'train' 1000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-qa5

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-qa5')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-qa6

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-qa6')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-qa7

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-qa7')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-qa8

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-qa8')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-qa9

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-qa9')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-qa10

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-qa10')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-qa11

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-qa11')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-qa12

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-qa12')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-qa13

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-qa13')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-qa14

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-qa14')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-qa15

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-qa15')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 250
'train' 250
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-qa16

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-qa16')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 1000
'train' 1000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-qa17

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-qa17')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 125
'train' 125
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-qa18

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-qa18')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 199
'train' 198
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-qa19

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-qa19')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 1000
'train' 1000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-qa20

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-qa20')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 93
'train' 94
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa1

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-qa1')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa2

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-qa2')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa3

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-qa3')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 167
'train' 167
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa4

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-qa4')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 1000
'train' 1000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa5

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-qa5')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa6

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-qa6')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa7

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-qa7')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa8

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-qa8')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa9

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-qa9')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa10

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-qa10')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa11

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-qa11')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa12

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-qa12')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa13

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-qa13')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 125
'train' 125
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa14

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-qa14')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa15

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-qa15')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 250
'train' 250
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa16

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-qa16')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 1000
'train' 1000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa17

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-qa17')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 125
'train' 125
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa18

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-qa18')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 198
'train' 198
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa19

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-qa19')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 1000
'train' 1000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa20

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-qa20')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 94
'train' 93
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-10k-qa1

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-10k-qa1')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-10k-qa2

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-10k-qa2')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-10k-qa3

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-10k-qa3')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-10k-qa4

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-10k-qa4')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 1000
'train' 10000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-10k-qa5

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-10k-qa5')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-10k-qa6

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-10k-qa6')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-10k-qa7

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-10k-qa7')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-10k-qa8

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-10k-qa8')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-10k-qa9

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-10k-qa9')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-10k-qa10

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-10k-qa10')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-10k-qa11

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-10k-qa11')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-10k-qa12

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-10k-qa12')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-10k-qa13

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-10k-qa13')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-10k-qa14

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-10k-qa14')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-10k-qa15

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-10k-qa15')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 250
'train' 2500
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-10k-qa16

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-10k-qa16')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 1000
'train' 10000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-10k-qa17

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-10k-qa17')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 125
'train' 1250
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-10k-qa18

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-10k-qa18')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 199
'train' 1978
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-10k-qa19

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-10k-qa19')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 1000
'train' 10000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

es-10k-qa20

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-10k-qa20')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 93
'train' 933
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-qa1

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-qa1')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 180
'validation' 20
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-qa2

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-qa2')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 180
'validation' 20
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-qa3

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-qa3')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 180
'validation' 20
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-qa4

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-qa4')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 1000
'train' 900
'validation' 100
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-qa5

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-qa5')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 180
'validation' 20
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-qa6

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-qa6')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 180
'validation' 20
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-qa7

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-qa7')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 180
'validation' 20
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-qa8

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-qa8')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 180
'validation' 20
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-qa9

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-qa9')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 180
'validation' 20
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-qa10

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-qa10')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 180
'validation' 20
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-qa11

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-qa11')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 180
'validation' 20
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-qa12

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-qa12')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 180
'validation' 20
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-qa13

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-qa13')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 180
'validation' 20
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-qa14

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-qa14')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 180
'validation' 20
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-qa15

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-qa15')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 250
'train' 225
'validation' 25
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-qa16

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-qa16')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 1000
'train' 900
'validation' 100
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-qa17

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-qa17')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 125
'train' 113
'validation' 12
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-qa18

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-qa18')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 199
'train' 179
'validation' 19
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-qa19

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-qa19')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 1000
'train' 900
'validation' 100
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-qa20

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-qa20')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 93
'train' 85
'validation' 9
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-10k-qa1

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa1')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 1800
'validation' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-10k-qa2

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa2')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 1800
'validation' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-10k-qa3

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa3')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 1800
'validation' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-10k-qa4

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa4')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 1000
'train' 9000
'validation' 1000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-10k-qa5

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa5')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 1800
'validation' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-10k-qa6

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa6')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 1800
'validation' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-10k-qa7

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa7')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 1800
'validation' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-10k-qa8

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa8')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 1800
'validation' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-10k-qa9

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa9')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 1800
'validation' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-10k-qa10

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa10')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 1800
'validation' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-10k-qa11

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa11')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 1800
'validation' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-10k-qa12

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa12')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 1800
'validation' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-10k-qa13

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa13')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 1800
'validation' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-10k-qa14

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa14')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 1800
'validation' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-10k-qa15

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa15')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 250
'train' 2250
'validation' 250
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-10k-qa16

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa16')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 1000
'train' 9000
'validation' 1000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-10k-qa17

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa17')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 125
'train' 1125
'validation' 125
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-10k-qa18

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa18')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 199
'train' 1781
'validation' 197
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-10k-qa19

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa19')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 1000
'train' 9000
'validation' 1000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-válido-10k-qa20

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa20')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 93
'train' 840
'validation' 93
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa1

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-10k-qa1')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa2

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-10k-qa2')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa3

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-10k-qa3')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 167
'train' 1667
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa4

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-10k-qa4')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 1000
'train' 10000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa5

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-10k-qa5')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa6

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-10k-qa6')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa7

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-10k-qa7')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa8

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-10k-qa8')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa9

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-10k-qa9')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa10

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-10k-qa10')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa11

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-10k-qa11')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa12

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-10k-qa12')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa13

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-10k-qa13')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 125
'train' 1250
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa14

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-10k-qa14')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa15

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-10k-qa15')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 250
'train' 2500
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa16

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-10k-qa16')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 1000
'train' 10000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa17

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-10k-qa17')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 125
'train' 1250
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa18

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-10k-qa18')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 198
'train' 1977
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa19

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-10k-qa19')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 1000
'train' 10000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa20

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/hn-10k-qa20')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 94
'train' 934
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-qa1

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-qa1')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-qa2

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-qa2')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-qa3

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-qa3')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-qa4

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-qa4')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 1000
'train' 1000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-qa5

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-qa5')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-qa6

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-qa6')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-qa7

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-qa7')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-qa8

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-qa8')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-qa9

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-qa9')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-qa10

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-qa10')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-qa11

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-qa11')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-qa12

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-qa12')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-qa13

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-qa13')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-qa14

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-qa14')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 200
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-qa15

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-qa15')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 250
'train' 250
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-qa16

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-qa16')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 1000
'train' 1000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-qa17

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-qa17')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 125
'train' 125
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-qa18

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-qa18')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 199
'train' 198
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-qa19

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-qa19')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 1000
'train' 1000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-qa20

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-qa20')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 93
'train' 94
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-10k-qa1

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa1')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-10k-qa2

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa2')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-10k-qa3

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa3')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-10k-qa4

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa4')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 1000
'train' 10000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-10k-qa5

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa5')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-10k-qa6

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa6')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-10k-qa7

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa7')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-10k-qa8

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa8')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-10k-qa9

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa9')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-10k-qa10

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa10')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-10k-qa11

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa11')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-10k-qa12

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa12')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-10k-qa13

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa13')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-10k-qa14

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa14')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 200
'train' 2000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-10k-qa15

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa15')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 250
'train' 2500
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-10k-qa16

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa16')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 1000
'train' 10000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-10k-qa17

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa17')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 125
'train' 1250
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-10k-qa18

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa18')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 199
'train' 1978
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-10k-qa19

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa19')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 1000
'train' 10000
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

barajado-10k-qa20

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa20')
  • Descripción :
The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.
  • Licencia : Licencia Creative Commons Reconocimiento 3.0
  • Versión : 1.2.0
  • Divisiones :
Separar Ejemplos
'test' 93
'train' 933
  • Características :
{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}