Datasets:
File size: 2,096 Bytes
b2a0961 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 | {
"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"
}
} |