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{
    "default": {
        "description": "Examples taken from the Winograd Schema Challenge modified to ensure that answers are a single word from the context.\nThis modified Winograd Schema Challenge (MWSC) ensures that scores are neither inflated nor deflated by oddities in phrasing.\n",
        "citation": "@article{McCann2018decaNLP,\n  title={The Natural Language Decathlon: Multitask Learning as Question Answering},\n  author={Bryan McCann and Nitish Shirish Keskar and Caiming Xiong and Richard Socher},\n  journal={arXiv preprint arXiv:1806.08730},\n  year={2018}\n}\n",
        "homepage": "http://decanlp.com",
        "license": "",
        "features": {
            "sentence": {
                "dtype": "string",
                "_type": "Value"
            },
            "question": {
                "dtype": "string",
                "_type": "Value"
            },
            "options": {
                "feature": {
                    "dtype": "string",
                    "_type": "Value"
                },
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "_type": "Value"
            }
        },
        "builder_name": "mwsc_raw",
        "dataset_name": "mwsc_raw",
        "config_name": "default",
        "version": {
            "version_str": "0.1.0",
            "major": 0,
            "minor": 1,
            "patch": 0
        },
        "splits": {
            "train": {
                "name": "train",
                "num_bytes": 11002,
                "num_examples": 80,
                "dataset_name": null
            },
            "test": {
                "name": "test",
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                "num_examples": 100,
                "dataset_name": null
            },
            "validation": {
                "name": "validation",
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                "num_examples": 82,
                "dataset_name": null
            }
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}