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add README describing domain-code tokenized corpus

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+ ---
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+ license: apache-2.0
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+ task_categories:
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+ - text-generation
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+ language:
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+ - en
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+ - code
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+ pretty_name: DragonCode Tokenized Pretrain (Domain-Code)
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+ size_categories:
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+ - 10B<n<100B
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+ ---
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+
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+ # DragonCode Tokenized Pretrain — Domain-Code Corpus
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+
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+ Pre-tokenized training corpus for the DragonCode LLM family. This is the
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+ **domain-code-only** dataset (not general web text).
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+
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+ ## Format
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+
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+ - 26 shards: `data/train-00000-of-00026.bin` .. `train-00025-of-00026.bin`
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+ - Flat `int32` little-endian token-id stream (no headers, no row structure).
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+ Concatenate shards in order to reconstruct the full sequence.
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+ - **3,417,141,141 tokens** total (~3.42B), ~13.67 GB on disk.
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+ - Sequence length: 4096 (`MAX_SEQ_LEN`) during training.
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+
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+ ## Sources (streaming, permissive only)
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+
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+ | Source | Field | License filter |
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+ |---|---|---|
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+ | `codeparrot/codeparrot-clean` | `content` | permissive only (MIT/ISC/Apache-2.0/BSD/CC0/Unlicense/etc.) |
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+ | `open-r1/codeforces-cots` | `prompt` / `generation` | permissive only |
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+
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+ Non-permissive-licensed and empty samples are dropped. General web corpora
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+ (FineWeb-Edu / SlimPajama / The-Pile) are intentionally excluded per project spec.
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+
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+ ## Tokenizer
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+
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+ Uses the DragonCode tokenizer (see `DragonLimited/DragonCode-150M`). Encode with
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+ `add_special_tokens=False`.
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+
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+ ## Note
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+
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+ The previous 5-shard legacy corpus (FineWeb-Edu-based) was fully replaced by this
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+ domain-code corpus on 2026-08-25.