CoolFace
Datasetpublic

placeholderlabs/pretrain-web-mix-long-context

Normalized documents plus aligned Dolma-2 tokens and target masks. Size Tokens 8,689,580,607 (8.7B) Trainable tokens 8,689,580,607 (8.7B) Documents 281,846 Shards 89 UTF-8 bytes 37,540,769,483 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, sizes… See the full description on the dataset page: https://huggingface.co/datasets/placeholderlabs/pretrain-web-mix-long-context.

sourceHugging Faceupdated 11d agoView on Hugging Face
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Dataset Card

Normalized documents plus aligned Dolma-2 tokens and target masks.

Size

Tokens8,689,580,607 (8.7B)
Trainable tokens8,689,580,607 (8.7B)
Documents281,846
Shards89
UTF-8 bytes37,540,769,483
Tokenizerallenai/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, sizes, provenance and the full source metadata.
  • tokens.bin / offsets.bin / target-mask.bin - the training hot path. Little-endian int32 IDs, int64 document boundaries, one LSB-first mask bit per token. RSDB packs 4K or 16K sequences at training time.