embedding-data/SPECTER
Dataset Card for "SPECTER" Dataset Summary Dataset containing triplets (three sentences): anchor, positive, and negative. Contains titles of papers. Disclaimer: The team releasing SPECTER did not upload the dataset to the Hub and did not write a dataset card. These steps were done by the Hugging Face team. Dataset Structure Each example in the dataset contains triplets of equivalent sentences and is formatted as a dictionary with the key "set" and… See the full description on the dataset page: https://huggingface.co/datasets/embedding-data/SPECTER.
| Author / organization | embedding-data |
|---|---|
| License (as declared) | mit |
| Downloads | 211 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 8 July 2022 |
| Last updated at source | 2 August 2022 |
Connected in the knowledge graph
- KingName1/sentence_transformerModel · used to train
- thainq107/all-mpnet-base-v2Model · used to train
- groonga/all-MiniLM-L6-v2-Q4_K_M-GGUFModel · used to train
- mlx-community/all-MiniLM-L6-v2-8bitModel · used to train
- Hum-Works/lodestone-base-4096-v1Model · used to train
- sentence-transformers/all-mpnet-base-v2Model · used to train
- sentence-transformers/all-MiniLM-L12-v2Model · used to train
- stratalab-org/all-MiniLM-L6-v2-GGUFModel · used to train
- KnightsAnalytics/all-MiniLM-L6-v2Model · used to train
- dmlls/all-mpnet-base-v2-negationModel · used to train
- nixiesearch/e5-small-v2-onnxModel · used to train
- mlx-community/all-MiniLM-L6-v2-bf16Model · used to train
- onnx-community/all-MiniLM-L6-v2-ONNXModel · used to train
- sentence-transformers/all-MiniLM-L6-v2Model · used to train
- mlx-community/all-MiniLM-L6-v2-4bitModel · used to train
- Mungert/all-MiniLM-L6-v2-GGUFModel · used to train
- ogustpazjuniorgmailcom/all-MiniLM-L6-v2Model · used to train
- ai-human-lab/sentence-transformers_all-mpnet-base-v2Model · used to train
- XHY-DY/all-mpnet-baseModel · used to train
- mlx-community/all-MiniLM-L6-v2-6bitModel · used to train
- novelcore/model6Model · used to train
- thoddnn/all-MiniLM-L6-v2-4bitModel · used to train
- yosuaw/all-MiniLM-L6-v2Model · used to train
- unsloth/all-mpnet-base-v2Model · used to train
- optimum-intel-internal-testing/all-MiniLM-L6-v2Model · used to train
- nixiesearch/multilingual-e5-base-onnxModel · used to train
- leliuga/all-MiniLM-L6-v2-GGUFModel · used to train
- optimum-intel-internal-testing/all-mpnet-base-v2Model · used to train
- unsloth/all-MiniLM-L6-v2Model · used to train
- freedomfrier/all-MiniLM-L6-v2-128dimModel · used to train
- sentence-transformers/all-distilroberta-v1Model · used to train
- cristiano-sartori/MNLP_M2_document_encoderModel · used to train
- nixiesearch/all-MiniLM-L6-v2-onnxModel · used to train
- sudomoniker/all-MiniLM-L6-v2-Q8_0-GGUFModel · used to train
- taronaeo/all-MiniLM-L6-v2-BEModel · used to train
- leliuga/all-MiniLM-L12-v2-GGUFModel · used to train
- danielpark/sentence-transformers-all-mini-lm-l6-v2Model · used to train
Recent changes
- 16 Oct 2026 Description: Dataset Card for "SPECTER" Dataset Summary Dataset containing triplets (three sentences): anchor, positive, and negative. Contains titles of papers. Disclaimer: The team releasing SPECTER did not upload the dataset to the Hub and did not wr → Dataset Card for "SPECTER" Dataset Summary Dataset containing triplets (three sentences): anchor, positive, and negative. Contains titles of papers. Disclaimer: The team releasing SPECTER did not upload the dataset to the Hub and did not wr
Changes detected by Silytics between refreshes of the source.
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.