sentence-transformers/wikipedia-en-sentences
Dataset Card for Wikipedia Sentences (English) This dataset contains 7.87 million English sentences and can be used in knowledge distillation of embedding models. Dataset Details Columns: "sentence" Column types: str Examples:{ 'sentence': "After the deal was approved and NONG's stock rose to $13, Farris purchased 10,000 shares at the $2.50 price, sold 2,500 shares at the new price to reimburse the company, and gave the remaining 7,500 shares to Landreville at… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/wikipedia-en-sentences.
| Author / organization | sentence-transformers |
|---|---|
| Downloads | 375 (as reported by Hugging Face) |
| Likes | 7 |
| Created | 25 April 2024 |
| Last updated at source | 25 April 2024 |
Popularity, last 5 days
375 now (+34 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- SentiChain/apareciumModel · used to train
Recent changes
- 17 Oct 2026 Description: Dataset Card for Wikipedia Sentences (English) This dataset contains 7.87 million English sentences and can be used in knowledge distillation of embedding models. Dataset Details Columns: "sentence" Column types: str Examples:{ 'sentence': → Dataset Card for Wikipedia Sentences (English) This dataset contains 7.87 million English sentences and can be used in knowledge distillation of embedding models. Dataset Details Columns: "sentence" Column types: str Examples:{ 'sentence':
Changes detected by Silytics between refreshes of the source.
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