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wikitablequestions

References:

random-split-1

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:wikitablequestions/random-split-1')
  • Description:
This WikiTableQuestions dataset is a large-scale dataset for the task of question answering on semi-structured tables.
  • License: Creative Commons Attribution Share Alike 4.0 International
  • Version: 1.0.2
  • Splits:
Split Examples
'test' 4344
'train' 11321
'validation' 2831
  • Features:
{
    "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

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:wikitablequestions/random-split-2')
  • Description:
This WikiTableQuestions dataset is a large-scale dataset for the task of question answering on semi-structured tables.
  • License: Creative Commons Attribution Share Alike 4.0 International
  • Version: 1.0.2
  • Splits:
Split Examples
'test' 4344
'train' 11314
'validation' 2838
  • Features:
{
    "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

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:wikitablequestions/random-split-3')
  • Description:
This WikiTableQuestions dataset is a large-scale dataset for the task of question answering on semi-structured tables.
  • License: Creative Commons Attribution Share Alike 4.0 International
  • Version: 1.0.2
  • Splits:
Split Examples
'test' 4344
'train' 11314
'validation' 2838
  • Features:
{
    "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

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:wikitablequestions/random-split-4')
  • Description:
This WikiTableQuestions dataset is a large-scale dataset for the task of question answering on semi-structured tables.
  • License: Creative Commons Attribution Share Alike 4.0 International
  • Version: 1.0.2
  • Splits:
Split Examples
'test' 4344
'train' 11321
'validation' 2831
  • Features:
{
    "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

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:wikitablequestions/random-split-5')
  • Description:
This WikiTableQuestions dataset is a large-scale dataset for the task of question answering on semi-structured tables.
  • License: Creative Commons Attribution Share Alike 4.0 International
  • Version: 1.0.2
  • Splits:
Split Examples
'test' 4344
'train' 11316
'validation' 2836
  • Features:
{
    "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"
        }
    }
}