lmqg/qa_squadshifts_synthetic
Dataset Card for "lmqg/qa_squadshifts_synthetic" 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… See the full description on the dataset page: https://huggingface.co/datasets/lmqg/qa_squadshifts_synthetic.
| Author / organization | lmqg |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 64.6K (as reported by Hugging Face) |
| Likes | 1 |
| Created | 20 December 2022 |
| Last updated at source | 15 January 2023 |
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64,630 now (+62,761 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: Dataset Card for "lmqg/qa_squadshifts_synthetic" 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 p → Dataset Card for "lmqg/qa_squadshifts_synthetic" 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 p
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