{
  "repo_folder": "disagreement_aware",
  "paper_setting": "DISAGREEMENT-AWARE",
  "internal_run_name": "signal-disagreement-lambda05",
  "selection_rule": "Within the union of the three scorers' top-10% sets, documents passing a quality floor (q >= P30) and a variance cap (v <= P90) are ranked by the disagreement-augmented utility u = q + 0.5*sqrt(v), then rewritten.",
  "content": "rewritten",
  "composition": {
    "note": "This folder is the complete 10B-token mixture the models actually trained on: the shared 5B raw anchor plus this setting's 5B component, already merged and shuffled. The anchor is included in every setting folder.",
    "shuffle_seed": 42,
    "anchor_docs": 4120164,
    "anchor_tokens": 5000002332,
    "strategy_docs": 8442273,
    "strategy_tokens": 5000000003,
    "strategy_token_target": 5000000000,
    "sort_key": "u=q+0.5*sqrt(var3), ddof=0, float32"
  },
  "rewriter_model": "Qwen2.5-7B-Instruct (greedy decoding)",
  "prompt_style": "Nemotron-CC wikipedia-style rephrasing and distillation prompts, as released in the FinePhrase repository",
  "doc_count": 12562437,
  "token_count_llama2": 10000002333,
  "shard_count": 26,
  "columns": [
    "doc_id",
    "orig_doc_id",
    "text",
    "source_prompt",
    "train_tokens"
  ],
  "provenance": {
    "source_folder": "/scratch/bvandur1/zhuicon1/data_rewrite/pretrain/signal-disagreement-lambda05/shuffled",
    "tokenized_folder": "/scratch/bvandur1/zhuicon1/nanotron_tokenized/signal-disagreement-lambda05/tokenized",
    "source_evidence": "datatrove executor.json (reader data_folder), confirmed by decoding 50 documents out of the .ds and matching them into this folder (50/50)",
    "trained_from_config": "config_signal-disagreement-lambda05_10B_1.5B.yaml",
    "config_dir": "/scratch/bvandur1/zhuicon1/projects/nanotron/examples",
    "seeds": [
      42,
      43,
      44
    ],
    "doc_content_digest_sha256": "ee8b3b9be0e818ff471a99f50f040383dfcd6677a594bb0360e476468b5b4633",
    "doc_id_digest_sha256": "6a338781442b5a8ee897a9db033926fdf2b4875403818f5b0cf25451db08c5af"
  }
}