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lilm document-contiguous 16K Longmino pilot data
Curated from allenai/dolma3_longmino_mix-50B-1025 with HuggingFaceTB/SmolLM2-135M by pipeline
lilm-longctx-16k-v2-cpu-doc-contiguous-longmino. This is the long-context portion of a recovery pilot;
the intended training mix supplies short-context replay separately.
Binary format
lilm-longctx-16k-train.bin: training recordslilm-longctx-16k-val.bin: validation records- dtype: little-endian
uint16 - record width: 16,385 tokens
- training input/target width: 16,384 tokens
- target long-data budget: 102,000,000 tokens
- each record comes from one document; unrelated documents are never packed together
- consecutive records from the same document overlap by one boundary token
- tokenizer:
HuggingFaceTB/SmolLM2-135M
Use numpy.memmap(path, dtype=np.uint16) and reshape to
(-1, 16385). For each row, use row[:-1] as inputs and
row[1:] as targets.
manifest.json, sanity_report.json, and blocks.jsonl record provenance,
counts, hashes, and validation results. Sanity status at upload:
True.
Upstream dataset license and attribution remain applicable. Repository target:
glouriousgautam/lilm-longctx-16k-longmino.
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