CerebellumKing/Ultra-FineWeb-10B
Ultra-FineWeb-10B Archive This dataset is an archived copy of sumukshashidhar-archive/Ultra-FineWeb-10B. The original dataset link became unavailable, so I am releasing this locally stored copy to make the data accessible again for researchers and practitioners who may need it for reference, reproduction, or small-scale pretraining experiments. Important Note This 10B-token subset was created by random sampling. It should not be interpreted as the highest-quality… See the full description on the dataset page: https://huggingface.co/datasets/CerebellumKing/Ultra-FineWeb-10B.
Ultra-FineWeb-10B Archive
This dataset is an archived copy of sumukshashidhar-archive/Ultra-FineWeb-10B.
The original dataset link became unavailable, so I am releasing this locally stored copy to make the data accessible again for researchers and practitioners who may need it for reference, reproduction, or small-scale pretraining experiments.
Important Note
This 10B-token subset was created by random sampling. It should not be interpreted as the highest-quality 10B-token subset of Ultra-FineWeb.
In other words, this archive is intended to preserve access to the previously available data, rather than to provide a newly curated or quality-optimized selection.
Intended Use
This dataset may be useful for:
- language model pretraining experiments
- data pipeline testing
- reproducibility checks
- comparisons involving Ultra-FineWeb-derived data
Users who need the highest-quality subset should consider applying their own filtering, scoring, or selection pipeline.
Dataset Source
Ultra-FineWeb is a large-scale web corpus designed for high-quality language model pretraining. Please refer to the original Ultra-FineWeb project for details about the data construction and filtering process.
Limitations
- This is an archive release.
- The 10B-token subset is randomly sampled.
- No additional quality ranking, deduplication, or filtering was applied by this archive release.
- The dataset may inherit noise, duplication, or other artifacts from the original source.
Acknowledgements
All credit for the original Ultra-FineWeb dataset goes to the Ultra-FineWeb authors and contributors. This repository only provides an archived copy to preserve access after the original link became unavailable.
