embedding-data/QQP_triplets
Dataset Card for "QQP_triplets" Dataset Summary This dataset will give anyone the opportunity to train and test models of semantic equivalence, based on actual Quora data. The data is organized as triplets (anchor, positive, negative). Disclaimer: The team releasing Quora data did not upload the dataset to the Hub and did not write a dataset card. These steps were done by the Hugging Face team. Supported Tasks Sentence Transformers training;… See the full description on the dataset page: https://huggingface.co/datasets/embedding-data/QQP_triplets.
| Author / organization | embedding-data |
|---|---|
| License (as declared) | mit |
| Downloads | 223 (as reported by Hugging Face) |
| Likes | 9 |
| Created | 8 July 2022 |
| Last updated at source | 2 August 2022 |
Recent changes
- 16 Oct 2026 Description: Dataset Card for "QQP_triplets" Dataset Summary This dataset will give anyone the opportunity to train and test models of semantic equivalence, based on actual Quora data. The data is organized as triplets (anchor, positive, negative). Disc → Dataset Card for "QQP_triplets" Dataset Summary This dataset will give anyone the opportunity to train and test models of semantic equivalence, based on actual Quora data. The data is organized as triplets (anchor, positive, negative). Disc
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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 Information may be incomplete or out of date.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.