README.md

---
license: cc-by-nc-4.0
task_categories:
- text-generation
language:
- en
pretty_name: Public Amazon Press Release Dataset
size_categories:
- 1K<n<10K
configs:
- config_name: default
  data_files: 'data.jsonl.zst'
---

# amz-press-release

Public Amazon Press Release Dataset

## Dataset Description

This dataset contains data from Amazon News: http://amazon2022tf.q4web.com/news/default.aspx

## Dataset Structure

Each line in the downloaded data file is a JSON dictionary containing the following data.

```json
{
    "headline": "Amazon's Buy with Prime Increases Shopper Conversion by an Average of 25%",
    "url": "/news/news-details/2023/Amazons-Buy-with-Prime-Increases-Shopper-Conversion-by-an-Average-of-25/default.aspx",
    "seo_name": "Amazons-Buy-with-Prime-Increases-Shopper-Conversion-by-an-Average-of-25",
    "id": 4850,
    "date": "01/10/2023 08:00:00",
    "parsed_headline": "Amazon's Buy with Prime Increases Shopper Conversion by an Average of 25%",
    "parsed_date": "01/10/2023",
    "parsed_subheading_txt": "Previously available on an invite-only basis ...",
    "parsed_subheading_html": "<div><p><i>Previously available on an invite-only basis ... </i></p></div>",
    "parsed_body_txt": "SEATTLE--(BUSINESS WIRE)-- \nAmazon today announced that Buy with Prime ...",
    "parsed_body_html": "<p>SEATTLE--(BUSINESS WIRE)-- Amazon today announced that Buy with Prime ...</p>"
}
```

### Citation Information

```bibtex
@misc{amz-press-release,
  author = {Paul Greenberg},
  title = {Public Amazon Press Release Dataset},
  year = {2023},
  publisher = {Hugging Face},
  journal = {Hugging Face repository},
  howpublished = {\\url{https://huggingface.co/datasets/greenpau/amz-press-release}},
}
```