DaveGabe/cwt-multilingual-pretrain-mix
CWT Multilingual Pretrain Mix (reproducible recipe) A deterministic multilingual-including-English pretraining corpus for controlled vocabulary-scaling studies. The raw text is not stored here — it is reproduced byte-identically from manifest.json + the pinned dataset revisions, with no sampling and no RNG (the first-N documents of each stream). Recipe English: HuggingFaceFW/fineweb config sample-10BT, revision 9bb295ddab0e05d785b879661af7260fed5140fc… See the full description on the dataset page: https://huggingface.co/datasets/DaveGabe/cwt-multilingual-pretrain-mix.
CWT Multilingual Pretrain Mix (reproducible recipe)
A deterministic multilingual-including-English pretraining corpus for controlled vocabulary-scaling studies. The raw text is not stored here — it is reproduced byte-identically from manifest.json + the pinned dataset revisions, with no sampling and no RNG (the first-N documents of each stream).
Recipe
- English:
HuggingFaceFW/finewebconfigsample-10BT, revision9bb295ddab0e05d785b879661af7260fed5140fc - Non-English:
HuggingFaceFW/fineweb-2, revisionaf9c13333eb981300149d5ca60a8e9d659b276b9 - 28 non-English languages: arbArab, benBeng, cesLatn, cmnHani, danLatn, deuLatn, ellGrek, fasArab, finLatn, fraLatn, hebHebr, hinDeva, hunLatn, indLatn, itaLatn, jpnJpan, korHang, nldLatn, polLatn, porLatn, ronLatn, rusCyrl, spaLatn, sweLatn, thaThai, turLatn, ukrCyrl, vieLatn
- English share 40%; total 200,000 docs (first-N per language; deterministic).
Reproduce byte-identically
pip install datasets
python rebuild_dataset.py --manifest manifest.json --out corpus.jsonl # [--total_docs N]Tokenizers trained on this mix: DaveGabe/cwt-multilingual-tokenizers.
