Silver Dataset for Biomedical Multi-hop Question Decomposition Mode Classification
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Zenodo
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| Autori principali: | , , , , |
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| Natura: | Recurso digital |
| Lingua: | inglese |
| Pubblicazione: |
Zenodo
2026
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| _version_ | 1866901849114673152 |
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| author | Nguyen, Quoc-An Thi-Minh-Thu Vu Nguyen Bich Dat Tran, Minh Le, Hoang-Quynh |
| author_facet | Nguyen, Quoc-An Thi-Minh-Thu Vu Nguyen Bich Dat Tran, Minh Le, Hoang-Quynh |
| contents | <p>This is a silver dataset of 1,062 synthetic biomedical multi-hop questions specifically designed to train language models (such as BioBERT) for decomposition mode classification. The dataset includes the questions and their corresponding mode labels, and does not include the answers to the questions. It consists of two splits: a training set and a test set. The labels are encoded as follows: 0 for Direct, 1 for Sequential, 2 for Parallel.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18902318 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Silver Dataset for Biomedical Multi-hop Question Decomposition Mode Classification Nguyen, Quoc-An Thi-Minh-Thu Vu Nguyen Bich Dat Tran, Minh Le, Hoang-Quynh Multi-hop Question Answering Question Decomposition <p>This is a silver dataset of 1,062 synthetic biomedical multi-hop questions specifically designed to train language models (such as BioBERT) for decomposition mode classification. The dataset includes the questions and their corresponding mode labels, and does not include the answers to the questions. It consists of two splits: a training set and a test set. The labels are encoded as follows: 0 for Direct, 1 for Sequential, 2 for Parallel.</p> |
| title | Silver Dataset for Biomedical Multi-hop Question Decomposition Mode Classification |
| topic | Multi-hop Question Answering Question Decomposition |
| url | https://doi.org/10.5281/zenodo.18902318 |