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---
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 |