sentence-transformers/s2orc
Dataset Card for S2ORC This dataset contains titles, abstracts, and citations from scientific papers from the Semantic Scholar Open Research Corpus (S2ORC). This dataset can and has been used to train embedding models, and works out of the box to train or finetune Sentence Transformer models. In our experiments, title-abstract pairs result in the highest performance, followed by titles-citations and then abstract-citations pairs. Dataset Subsets… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/s2orc.
| Author / organization | sentence-transformers |
|---|---|
| Downloads | 2.1K (as reported by Hugging Face) |
| Likes | 20 |
| Created | 3 May 2024 |
| Last updated at source | 6 May 2024 |
Popularity, last 2 days
2,069 now (-12 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- minishlab/potion-retrieval-32MModel · used to train
More from sentence-transformers
- sentence-transformers/stsbDataset
- sentence-transformers/eli5Dataset
- sentence-transformers/NanoBEIR-enDataset
- sentence-transformers/miraclDataset
- sentence-transformers/all-nliDataset
- sentence-transformers/mldrDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.