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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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-valid-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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"
}
}
es-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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"
}
}
es-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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"
}
}
es-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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-valid-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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-valid-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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-valid-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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"
}
}
es-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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"
}
}
es-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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"
}
}
es-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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"
}
}
es-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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"
}
}
es-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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"
}
}
es-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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"
}
}
es-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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"
}
}
es-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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"
}
}
es-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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"
}
}
es-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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"
}
}
es-valido-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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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 Atribución 3.0
- Versión : 1.2.0
- Divisiones :
Dividir | 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"
}
}