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README.md
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---
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dataset_info:
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config_name: pair
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features:
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- split: train
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path: pair/train-*
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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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- 100K<n<1M
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task_categories:
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- feature-extraction
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- sentence-similarity
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pretty_name: NPR
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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: train
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path: pair/train-*
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---
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# Dataset Card for NPR
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This dataset is a collection of title-body pairs collected from NPR using Pushshift. See [embedding-training-data](https://huggingface.co/datasets/sentence-transformers/embedding-training-data) for additional information.
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This dataset can be used directly with Sentence Transformers to train embedding models.
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## Dataset Subsets
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### `pair` subset
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* Columns: "title", "body"
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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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'title': "Al-Awlaki's Death Raises Questions About U.S. Tactics",
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'body': "A joint CIA and U.S. military operation targeted and killed the cleric Anwar al-Awlaki in an air strike this week. Awlaki had been linked to terrorist attacks against the United States and was a key target for several years. NPR's Rachel Martin shares the latest with host Scott Simon.",
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}
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```
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* Collection strategy: Reading the NPR dataset from [embedding-training-data](https://huggingface.co/datasets/sentence-transformers/embedding-training-data).
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* Deduplified: No
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