سوالات ویکی

مراجع:

random-split-1

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:wikitablequestions/random-split-1')

توضیحات :

This WikiTableQuestions dataset is a large-scale dataset for the task of question answering on semi-structured tables.

مجوز : Creative Commons Attribution Share Alike 4.0 International
نسخه : 1.0.2
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	4344
`'train'`	11321
`'validation'`	2831

ویژگی ها :

{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answers": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "table": {
        "header": {
            "feature": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "rows": {
            "feature": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "name": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        }
    }
}

random-split-2

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:wikitablequestions/random-split-2')

توضیحات :

This WikiTableQuestions dataset is a large-scale dataset for the task of question answering on semi-structured tables.

مجوز : Creative Commons Attribution Share Alike 4.0 International
نسخه : 1.0.2
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	4344
`'train'`	11314
`'validation'`	2838

ویژگی ها :

{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answers": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "table": {
        "header": {
            "feature": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "rows": {
            "feature": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "name": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        }
    }
}

random-split-3

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:wikitablequestions/random-split-3')

توضیحات :

This WikiTableQuestions dataset is a large-scale dataset for the task of question answering on semi-structured tables.

مجوز : Creative Commons Attribution Share Alike 4.0 International
نسخه : 1.0.2
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	4344
`'train'`	11314
`'validation'`	2838

ویژگی ها :

{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answers": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "table": {
        "header": {
            "feature": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "rows": {
            "feature": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "name": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        }
    }
}

random-split-4

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:wikitablequestions/random-split-4')

توضیحات :

This WikiTableQuestions dataset is a large-scale dataset for the task of question answering on semi-structured tables.

مجوز : Creative Commons Attribution Share Alike 4.0 International
نسخه : 1.0.2
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	4344
`'train'`	11321
`'validation'`	2831

ویژگی ها :

{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answers": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "table": {
        "header": {
            "feature": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "rows": {
            "feature": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "name": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        }
    }
}

random-split-5

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:wikitablequestions/random-split-5')

توضیحات :

This WikiTableQuestions dataset is a large-scale dataset for the task of question answering on semi-structured tables.

مجوز : Creative Commons Attribution Share Alike 4.0 International
نسخه : 1.0.2
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	4344
`'train'`	11316
`'validation'`	2836

ویژگی ها :

{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answers": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "table": {
        "header": {
            "feature": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "rows": {
            "feature": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "name": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        }
    }
}