README.md

---
language:
- en
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
task_categories:
- feature-extraction
- sentence-similarity
pretty_name: NPR
tags:
- sentence-transformers
dataset_info:
  config_name: pair
  features:
  - name: title
    dtype: string
  - name: body
    dtype: string
  splits:
  - name: train
    num_bytes: 1074068267
    num_examples: 594384
  download_size: 687381702
  dataset_size: 1074068267
configs:
- config_name: pair
  data_files:
  - split: train
    path: pair/train-*
---

# Dataset Card for NPR

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.
This dataset can be used directly with Sentence Transformers to train embedding models.

## Dataset Subsets

### `pair` subset

* Columns: "title", "body"
* Column types: `str`, `str`
* Examples:
    ```python
    {
      'title': "Al-Awlaki's Death Raises Questions About U.S. Tactics",
      '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.",
    }
    ```
* Collection strategy: Reading the NPR dataset from [embedding-training-data](https://huggingface.co/datasets/sentence-transformers/embedding-training-data).
* Deduplified: No