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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"
},
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"feature": {
"dtype": "string",
"_type": "Value"
},
"_type": "Sequence"
},
"answer": {
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"_type": "Value"
}
},
"builder_name": "mwsc_raw",
"dataset_name": "mwsc_raw",
"config_name": "default",
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},
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} |