README.md

metadata

license: other
license_name: cc-by-4.0-and-cc-by-sa-4.0
license_link: https://huggingface.co/datasets/nvidia/Nemotron-Math-v2
task_categories:
  - text-generation
tags:
  - math
  - reasoning
  - rl
size_categories:
  - 10K<n<100K

Nemotron-Math-v2-10k

10,000 machine-verifiable, mid-to-hard math problems subsampled from nvidia/Nemotron-Math-v2, each with all stored gpt-oss-120b high-reasoning, no-tool solution traces. Built for RL training (verifiable final answers) with a teacher-trace column for SFT distillation / analysis.

How it was made (seed 42 throughout)

1. Dedupe: scanned all 5 splits (high_part00-02, medium, low), deduped rows by md5(problem) → 324,233 unique problems.
2. Verifiable-answer filter: kept problems whose expected_answer passes tier ≤ 2 of a whitelist filter (answer_filter.py in the scale models repo, tmp/scalar-ppo/docs-ppo/scripts/): tier 1 = plain number, tier 2 = short closed-form (whitelisted LaTeX commands, single-letter variables, ≤ 40 chars, no \text/\sum/ matrices/relations). This removes answer shapes that math_verify-style graders can't check reliably (67% of raw Nemotron answers fail it).
3. Difficulty buckets: bucketed by metadata.reason_high_no_tool.pass — how many of the 8 gpt-oss-120b attempts (high reasoning, no tools) were verified correct. Kept buckets 4, 5, 6, 7 (mid-to-hard band; excludes both never-solved and saturated problems). Tier≤2 pool sizes: {4: 7796, 5: 8483, 6: 9481, 7: 12744}.
4. Sample: 2,500 random problems per bucket = 10,000.
5. Teacher traces: for each problem, collected every stored row from the high_part* splits with tools == [] (high-reasoning no-tool generations) and kept the distinct messages payloads (first-seen order) in traces_high_no_tool. Note the source release heavily duplicates payloads — a problem's no-tool row count tracks its pass statistics, but those rows carry only 1..pass distinct solutions (byte-identical repeats otherwise). Distinct-trace distribution over the 10k: 1 traces: 6818 · 2 traces: 172 · 3 traces: 379 · 4 traces: 738 · 5 traces: 731 · 6 traces: 643 · 7 traces: 458 · 8 traces: 11 · 9 traces: 10 · 10 traces: 9 · 11 traces: 9 · 12 traces: 7 · 13 traces: 4 · 14 traces: 8 · 15 traces: 2 · 18 traces: 1 (9914/10000 problems have n_traces <= pass_bucket).
6. Split: shuffled, first 200 → validation, remaining 9,800 → train (validation bucket mix: {4: 38, 5: 58, 6: 44, 7: 60}).

Trace caveats

• Traces were verified by NVIDIA's pipeline, not ours. In a 150-problem spot check with a strict $-wrapped math_verify against expected_answer, ~77% of distinct traces' final \boxed{} answers verify; the rest are mostly verbose boxed formats (\text{...} prose, approximations like n \approx 9.4456) rather than wrong math. Re-filter per-trace if you need strict-format SFT targets.
• Every trace ends with a \boxed{} answer (0 missing in the spot check).

Columns

column	description
problem	problem statement (LaTeX)
expected_answer	verified final answer (majority-vote corrected where flagged)
original_expected_answer	pre-correction answer (differs only when changed_answer_to_majority)
changed_answer_to_majority	whether NVIDIA replaced the reference answer by majority vote
pass_bucket	gpt-oss-120b high-reasoning no-tool pass count (of 8) — 4..7
answer_tier	1 = plain number, 2 = closed-form expression
data_source	aops or stackflow
license	per-row source license (cc-by-4.0 for AoPS, cc-by-sa-4.0 for StackExchange)
url, user_name, user_url	StackExchange attribution (null for AoPS)
metadata	JSON: pass/count/accuracy for all 6 (reasoning × tool) teacher configs
traces_high_no_tool	list of JSON message arrays — all distinct stored high-reasoning no-tool teacher traces ([user, assistant]; reasoning_content = thinking, content = final answer with \boxed{})
n_traces	len(traces_high_no_tool) (distinct payloads)

License / attribution

Derived from nvidia/Nemotron-Math-v2 (gpt-oss-120b generations). AoPS-sourced rows are CC-BY-4.0; StackExchange-sourced rows are CC-BY-SA-4.0 with per-row attribution in url/user_name/user_url. See the per-row license column.