sentence-transformers/pubmedqa
Dataset Card for PubMedQA This is a reformatting of the PubMedQA dataset used to train the BGE-M3 model. See the full BGE-M3 dataset in Shitao/bge-m3-data. Dataset Subsets triplet subset Columns: "anchor", "positive", "negative" Column types: str, str, str Examples:{ 'anchor': 'Does a history of unintended pregnancy lessen the likelihood of desire for sterilization reversal?', 'positive': 'Unintended pregnancy has been significantly associated… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/pubmedqa.
| Author / organization | sentence-transformers |
|---|---|
| Downloads | 147 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 19 June 2024 |
| Last updated at source | 19 June 2024 |
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Connected in the knowledge graph
- minishlab/potion-retrieval-32MModel · used to train
Recent changes
- 17 Oct 2026 Description: Dataset Card for PubMedQA This is a reformatting of the PubMedQA dataset used to train the BGE-M3 model. See the full BGE-M3 dataset in Shitao/bge-m3-data. Dataset Subsets triplet subset Columns: "anchor", "positive", "negative" Column type → Dataset Card for PubMedQA This is a reformatting of the PubMedQA dataset used to train the BGE-M3 model. See the full BGE-M3 dataset in Shitao/bge-m3-data. Dataset Subsets triplet subset Columns: "anchor", "positive", "negative" Column type
Changes detected by Silytics between refreshes of the source.
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