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--- |
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language: |
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- en |
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multilinguality: |
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- monolingual |
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size_categories: |
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- 1M<n<10M |
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task_categories: |
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- feature-extraction |
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- sentence-similarity |
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pretty_name: Wikipedia Sentences |
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tags: |
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- sentence-transformers |
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dataset_info: |
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features: |
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- name: sentence |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 958187457 |
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num_examples: 7871825 |
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download_size: 683051610 |
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dataset_size: 958187457 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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# Dataset Card for Wikipedia Sentences (English) |
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This dataset contains 7.87 million English sentences and can be used in knowledge distillation of embedding models. |
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## Dataset Details |
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* Columns: "sentence" |
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* Column types: `str` |
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* Examples: |
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```python |
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{ |
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'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 no cost to him." |
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} |
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``` |
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* Collection strategy: Downloaded from https://sbert.net/datasets/wikipedia-en-sentences.txt.gz and uploaded without further modifications |
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* Deduplified: No |
