Datasets:
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Download README.md from placeholderlabs/exp-pool-commit-code-dolma2-tokenized: direct link, hf CLI and curl.
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- Download file 932 Bytes
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https://huggingface.co/datasets/placeholderlabs/exp-pool-commit-code-dolma2-tokenized/resolve/main/README.md
- Command line
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hf download hf://datasets/placeholderlabs/exp-pool-commit-code-dolma2-tokenized/README.md
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curl -L -o README.md https://huggingface.co/datasets/placeholderlabs/exp-pool-commit-code-dolma2-tokenized/resolve/main/README.md
932 Bytes
| license: other | |
| task_categories: | |
| - text-generation | |
| language: | |
| - en | |
| pretty_name: Locus EXP Commit Code (Dolma 2 tokenized) | |
| # Locus EXP Commit Code - Dolma 2 tokenized | |
| Pretokenized experiment pool for reproducible proxy-training runs. | |
| - `MANIFEST.json` is the authoritative schema, provenance, checksums, and train/holdout assignment. | |
| - `shards/shard-NNNNN/tokens.bin` stores little-endian int32 token IDs. | |
| - `offsets.bin` stores little-endian int64 document boundaries. | |
| - `index.parquet` stores document IDs, offsets, and compact filter fields. | |
| - `metadata.parquet` stores complete source metadata and is downloaded only for explicit cold-metadata filters. | |
| Each document already ends in exactly one EOD token. Training must not add another document-level EOD. | |
| Commit examples use `target_start_token` to mask the commit-message prompt and train only on the unified-diff target. Each commit document must fit one sequence. | |