epfml/FineWeb2-HQ
FineWeb2-HQ Dataset summary FineWeb2-HQ is a high-quality, model-filtered pretraining dataset derived as a subset of FineWeb2, spanning 20 languages. It enables around 6x faster pretraining compared to the base dataset. FineWeb2-HQ was created by selecting the top 10% quality documents of FineWeb2 in each language, based on scores assigned by a deep learning classifier trained to identify structured and knowledge-rich samples using XLM-RoBERTa embeddings. Validation… See the full description on the dataset page: https://huggingface.co/datasets/epfml/FineWeb2-HQ.
| Author / organization | epfml |
|---|---|
| License (as declared) | odc-by |
| Downloads | 37K (as reported by Hugging Face) |
| Likes | 85 |
| Created | 17 February 2025 |
| Last updated at source | 19 February 2025 |
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