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README.md
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dataset_info:
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- config_name: pair
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features:
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- split: test
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path: triplet/test-*
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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 Sections
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tags:
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- sentence-transformers
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dataset_info:
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- config_name: pair
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features:
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- split: test
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path: triplet/test-*
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---
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# Dataset Card for Wikipedia Sections
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This dataset contains pairs and triplets that can be used to train and finetune Sentence Transformer embedding models. The dataset originates from [Dor et al.](https://aclanthology.org/P18-2009.pdf), and was downloaded from [this download link](https://sbert.net/datasets/wikipedia-sections-triplets.zip).
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Notably, the "anchor" column contains sentences from Wikipedia, wheras the "positive" column contains other sentences from the same section. The "negative" column contains sentences from other sections.
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## Dataset Subsets
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### `pair` subset
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* Columns: "anchor", "positive"
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* Column types: `str`, `str`
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* Examples:
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```python
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```
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* Collection strategy: Reading the Wikipedia Sections dataset from https://sbert.net.
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* Deduplified: Yes
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### `triplet` subset
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* Columns: "anchor", "positive", "negative"
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* Column types: `str`, `str`, `str`
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* Examples:
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```python
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```
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* Collection strategy: Reading the Wikipedia Sections dataset from https://sbert.net.
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* Deduplified: Yes
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