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LANA-Math-Qwen3.8-Distill
Verified math supervised fine-tuning data distilled from Qwen3.8-27B by the LANA-research data engine, one config per data source (the source of the prompt). Every row is one teacher response that passed automatic verification, in the canonical slf-sft-v1 schema with full provenance.
Verification: Math-Verify 0.9.0 plus a symbolic safe matcher against the reference answer (rows whose teacher consensus disagrees with the reference are excluded).
producer.stage:nt= thinking off (T 0.7, top-p 0.8, 8k cap);tx= thinking on, effort xhigh (T 0.6, top-p 0.95, 15k cap);tx40k= thinking on, effort xhigh, 36k output cap (long fleet, train-split questions solved innt).
Subsets (one per source)
| config | source dataset | train | validation |
|---|---|---|---|
omi2_aug_math |
nvidia/OpenMathInstruct-2:augmented_math | 222,748 | 1,298 |
numina15_cn_k12 |
AI-MO/NuminaMath-1.5:cn_k12 | 171,149 | 1,012 |
numina15_olympiads |
AI-MO/NuminaMath-1.5:olympiads | 83,040 | 444 |
nmv2_stackflow |
nvidia/Nemotron-Math-v2:stackflow | 61,570 | 416 |
rl_omr |
nvidia/Nemotron-RL-math-OpenMathReasoning | 44,055 | 258 |
nmv2_aops |
nvidia/Nemotron-Math-v2:aops | 13,843 | 111 |
numina15_cn_contest |
AI-MO/NuminaMath-1.5:cn_contest | 13,830 | 72 |
numina15_aops_forum |
AI-MO/NuminaMath-1.5:aops_forum | 10,820 | 74 |
cascade_rl |
nvidia/Nemotron-Cascade-RL-Math | 9,288 | 46 |
omi2_math |
nvidia/OpenMathInstruct-2:math(MATH-train) | 6,203 | 31 |
numina15_inequalities |
AI-MO/NuminaMath-1.5:inequalities | 1,153 | 5 |
numina15_amc_aime |
AI-MO/NuminaMath-1.5:amc_aime | 949 | 3 |
numina15_olympiads_ref |
AI-MO/NuminaMath-1.5:olympiads_ref | 726 | 10 |
numina15_number_theory |
AI-MO/NuminaMath-1.5:number_theory | 363 | 0 |
rl_math_v2 |
nvidia/Nemotron-RL-Math-v2 | 283 | 1 |
Total: 643,801 rows. validation is a 1% hold-out by question_hash.
Loading
from datasets import load_dataset
ds = load_dataset("LANA-research/LANA-Math-Qwen3.8-Distill", "omi2_aug_math", split="train")
row = ds[0]; prompt = row["messages_in"]; target = (row["reasoning"], row["response"])
Fields
Schema slf-sft-v1 (31 fields): identity (uid, family, family_version, domain, task_type, language); input (messages_in, tools, problem_text, question_hash, source_dataset, source_id, source_split, license, seed_pool, difficulty); reference (kind, answer, choices, tests_ref, constraints, gold_source); producer (teacher model, serving, mode, sampling, stage, sample index); gen_run (client, hash, time); target (reasoning = text inside <think>, response = visible answer, finish_reason, n_tokens); verify (method, version, passed, score, details); accepted (always true here), reject_reason, flags, decontam (method, checked_against, hit), split, meta (JSON).
Decontamination: exact + 13-gram checks of the prompt against MATH-500, GPQA-Diamond, IFEval, MMLU-Pro, LiveCodeBench v6, OJBench and other evaluation inputs (per-row record in decontam).
License
Mixed: each row's license field gives the license of its prompt source; responses were generated with Qwen3.8-27B.
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