bigbio/pubmed_qa
PubMedQA is a novel biomedical question answering (QA) dataset collected from PubMed abstracts. The task of PubMedQA is to answer research biomedical questions with yes/no/maybe using the corresponding abstracts. PubMedQA has 1k expert-annotated (PQA-L), 61.2k unlabeled (PQA-U) and 211.3k artificially generated QA instances (PQA-A). Each PubMedQA instance is composed of: (1) a question which is either an existing research article title or derived from one, (2) a context which is the corresponding PubMed abstract without its conclusion, (3) a long answer, which is the conclusion of the abstract
| Author / organization | bigbio |
|---|---|
| License (as declared) | mit |
| Downloads | 4.7K (as reported by Hugging Face) |
| Likes | 60 |
| Created | 13 November 2022 |
| Last updated at source | 23 March 2024 |
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Connected in the knowledge graph
- HPAI-BSC/Llama3-Aloe-8B-AlphaModel · used to train
- epfl-llm/meditron-70bModel · used to train
- mradermacher/Llama-3.1-8B-Instruct-MedQA-GGUFModel · used to train
- mradermacher/Llama3-Aloe-8B-Alpha-GGUFModel · used to train
- TheBloke/meditron-70B-GGUFModel · used to train
- mradermacher/meditron-70b-GGUFModel · used to train
- mradermacher/meditron-70b-i1-GGUFModel · used to train
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