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qasc

References:

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:qasc')
  • Description:
QASC is a question-answering dataset with a focus on sentence composition. It consists of 9,980 8-way multiple-choice 
questions about grade school science (8,134 train, 926 dev, 920 test), and comes with a corpus of 17M sentences.
  • License: No known license
  • Version: 0.1.0
  • Splits:
Split Examples
'test' 920
'train' 8134
'validation' 926
  • Features:
{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "label": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answerKey": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "fact1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "fact2": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "combinedfact": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "formatted_question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}