| { |
| "repo_folder": "wrap_inspired", |
| "paper_setting": "WRAP-INSPIRED", |
| "internal_run_name": "wrap", |
| "selection_rule": "A uniform random sample of the remaining pool, rewritten with four style-specific format prompts rather than the two shared prompts.", |
| "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": 13022091, |
| "strategy_tokens": 5000000087, |
| "strategy_token_target": 5000000000, |
| "style_distribution": { |
| "distill": 2456200, |
| "original": 4120164, |
| "wrap_easy": 2646480, |
| "wrap_hard": 2631853, |
| "wrap_qa": 2643215, |
| "wrap_wiki": 2644343 |
| }, |
| "distill_selection": "seeded_random_seed42_no_quality_sort" |
| }, |
| "rewriter_model": "Qwen2.5-7B-Instruct (greedy decoding)", |
| "prompt_style": "four WRAP-style format prompts (easy, hard, wiki, qa), plus distillation to top up the budget", |
| "doc_count": 17142255, |
| "token_count_llama2": 10000002419, |
| "shard_count": 35, |
| "columns": [ |
| "doc_id", |
| "orig_doc_id", |
| "text", |
| "source_prompt", |
| "train_tokens" |
| ], |
| "provenance": { |
| "source_folder": "/scratch/bvandur1/zhuicon1/data_rewrite/pretrain/wrap/shuffled", |
| "tokenized_folder": "/scratch/bvandur1/zhuicon1/nanotron_tokenized/wrap/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_wrap_10B_1.5B.yaml", |
| "config_dir": "/scratch/bvandur1/zhuicon1/projects/nanotron/examples", |
| "seeds": [ |
| 42, |
| 43, |
| 44 |
| ], |
| "doc_content_digest_sha256": "2d1c51ce1edd5cc6133d16e68da96a22badc41a64ef5d714acbaf412b9f3b382", |
| "doc_id_digest_sha256": "65c5fc9c4cb290d85ca4b2c378031d65719f394e609b05f94a88f2f510b11047" |
| } |
| } |
