mehuldamani/hotpot_qa
This dataset is a modified version of the HotPotQA distractor dataset, which contains factual questions requiring multi-hop reasoning. In the original HotPotQA dataset, each example presents ten paragraphs, only two of which contain the information necessary to answer the question; the remaining eight paragraphs include closely related but irrelevant details. Consequently, solving this task requires the model to identify and reason over the pertinent passages. To more strongly develop… See the full description on the dataset page: https://huggingface.co/datasets/mehuldamani/hotpot_qa.
| Author / organization | mehuldamani |
|---|---|
| Downloads | 426 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 26 May 2025 |
| Last updated at source | 5 August 2025 |
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426 now (-41 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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- juwon1105/RLCC-qwen3-1.7B-hotpot5000-seed44Model · used to train
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