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Update 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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  ---
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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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+
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+ # Dataset Card for NPR
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+
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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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+
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+ ## Dataset Subsets
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+
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+ ### `pair` subset
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+
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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