facebook/recycling_the_web
Dataset Card for Recycling-The-Web Synthetic Data We release 44.4B tokens of high-quality, model-filtered synthetic texts obtained via our REcycling the Web with guIded REwrite (REWIRE) approach. The generation process involves taking all documents that are of moderate quality (i.e., having passed some rule-based filters), using an LLM (Llama-3.3-70B-Instruct) to identify the purpose of the text content, and then asking the LLM to come up with an improved document conditioned… See the full description on the dataset page: https://huggingface.co/datasets/facebook/recycling_the_web.
| Author / organization | |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 1.6K (as reported by Hugging Face) |
| Likes | 69 |
| Created | 21 July 2025 |
| Last updated at source | 28 August 2025 |
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Recent changes
- 16 Oct 2026 Description: Dataset Card for Recycling-The-Web Synthetic Data We release 44.4B tokens of high-quality, model-filtered synthetic texts obtained via our REcycling the Web with guIded REwrite (REWIRE) approach. The generation process involves taking all d → Dataset Card for Recycling-The-Web Synthetic Data We release 44.4B tokens of high-quality, model-filtered synthetic texts obtained via our REcycling the Web with guIded REwrite (REWIRE) approach. The generation process involves taking all d
Changes detected by Silytics between refreshes of the source.
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