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MiniCPM5-2B stage1 SFT tokenized packs (nanocode pipeline reproduction)

  • Sources: OpenBMB UltraData-SFT-2605 + UltraData-SFT-Agent-2609 (6 subsets, 6,278,234 records, used as published, no cleaning)
  • Preprocessing: MiniCPM5 pinned chat template, assistant-only loss mask, >128K overlapping windows (16K overlap, every target supervised once), packed to ~32K with per-record attention segments and position ids
  • Layout: HF save_to_disk format under stage1-tokenized/ (train 1,708,955 packs / validation 94 packs; 2GB arrow shards) and stage1-full-holdout/ (3,655 packs); 4 int32 columns: input_ids, labels, attention_mask (segment ids), position_ids
  • Tokenizer: tied to openbmb/MiniCPM5-2B-Midtrain @ 0a45344e530534b7090df798421e57fc2d0e19f2; 16 bytes/token; pack target 32K; max pack 131,072
  • Totals: 59.03B packed tokens / 53.53B supervised; per-source receipts in dataset-ready.json
  • Reproduce: github.com/lingwei-gu/nanocode training/minicpm5-sft (see DATA.md); raw sources pinned in stage1.json
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