placeholderlabs/pretrain-nemotron-math-mix
Normalized documents plus aligned Dolma-2 tokens and target masks. Size Tokens 22,927,812,461 (22.9B) Trainable tokens 22,927,812,461 (22.9B) Documents 21,377,358 Shards 180 UTF-8 bytes 77,994,866,327 Tokenizer allenai/dolma2-tokenizer@5292e5d6c0f4 documents.parquet - document_id, text, part_ends, part_trainable, must_not_split. The readable payload and the mask intent. metadata.parquet - one text-free row per document: token span, source, stratum… See the full description on the dataset page: https://huggingface.co/datasets/placeholderlabs/pretrain-nemotron-math-mix.
| Author / organization | placeholderlabs |
|---|---|
| Downloads | 1.3K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 12 September 2026 |
| Last updated at source | 12 September 2026 |
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