{
  "repo_folder": "quality_first",
  "paper_setting": "QUALITY-FIRST",
  "internal_run_name": "quality-first",
  "selection_rule": "The top of the remaining pool by DCLM fastText rank, taken to a 10B-token source budget and rewritten down to 5B output tokens.",
  "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": 10311309,
    "strategy_tokens": 5000000308,
    "strategy_token_target": 5000000000,
    "sort_key": "fasttext-ranking-v2"
  },
  "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": 14431473,
  "token_count_llama2": 10000002634,
  "shard_count": 29,
  "columns": [
    "doc_id",
    "orig_doc_id",
    "text",
    "source_prompt",
    "train_tokens"
  ],
  "provenance": {
    "source_folder": "/scratch/bvandur1/zhuicon1/data_rewrite/pretrain/quality-first/shuffled",
    "tokenized_folder": "/scratch/bvandur1/zhuicon1/nanotron_tokenized/quality-first/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_quality-first_10B_1.5B.yaml",
    "config_dir": "/scratch/bvandur1/zhuicon1/projects/nanotron/examples",
    "seeds": [
      42,
      43,
      44
    ],
    "doc_content_digest_sha256": "1e3873398b70d31c4c36c822cafa03b5a5752f8afe8182fd36cc41ecb5a0066a",
    "doc_id_digest_sha256": "835218686789b0b451672d5d04a8460a98cda443e0711ad9918de848eb2c39af"
  }
}