Dataset Card for "lmqg/qa squadshifts synthetic" Dataset Description Repository: https://github.com/asahi417/lm question generation Paper: https://arxiv.org/abs/2210.03992 Point of Contact: Asahi Ushio Dataset Summary This is a synthetic QA dataset generated with fine tuned QG models over lmqg/qa squadshifts , made for question answering based evaluation (QAE) for question generation model proposed by Zhang and Bansal, 2019. The test split is the original validation set of lmqg/qa squadshifts , where the model should be evaluate on. Supported Tasks and Leaderboards question answering Languages English (en) Dataset Structure Data Fields The data fields are the same among all splits. plain text id : a string feature of id title : a string feature of title of the paragraph context : a string feature of paragraph question : a string feature of question answers : a json feature of answers Data Splits TBA Citation Information
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