reasoning-sft-stem-reasoning-complex-FineProofs-126K

Combined converted dataset from two sources:

• lm-provers/FineProofs-SFT (all config, 7.78k) — Mathematical Olympiad problems with chain-of-thought reasoning distilled from DeepSeek-Math-V2
• galaxyMindAiLabs/stem-reasoning-complex (~118k) — STEM reasoning across Biology, Mathematics, Physics, Chemistry and Code

Format

Each row has three columns:

• input — list of dicts [{"role": "user", "content": "..."}]
• response — response string including <think> reasoning block
• domain — Math_FineProofs or stem-reasoning

Filtering

Rows were dropped if any required field was empty or if the response did not contain exactly one <think> and one </think> tag.

Usage

import random
from collections import Counter
import pyarrow.parquet as pq

pf = pq.ParquetFile("./reasoning-model/fineproofs-stem/data_converted.parquet")
rows = {"input": [], "response": [], "domain": []}
for batch in pf.iter_batches(batch_size=65_536):
    d = batch.to_pydict()
    rows["input"].extend(d["input"])
    rows["response"].extend(d["response"])
    rows["domain"].extend(d["domain"])

total = len(rows["input"])
counts = Counter(rows["domain"])
print(f"Total: {total:,}\n")
for domain, count in counts.most_common():
    print(f"  {domain:<25} {count:>8,}  ({100*count/total:.2f}%)")

for idx in random.sample(range(total), 3):
    print(f"\n{'='*80}\nRow {idx:,} / {total:,}  |  domain: {rows['domain'][idx]}\n{'='*80}")
    for msg in rows["input"][idx]:
        print(f"\n  [{msg['role']}]\n  {msg['content'][:300]}{'...' if len(msg['content']) > 300 else ''}")
    print(f"\n[response]\n{rows['response'][idx][:600]}{'...' if len(rows['response'][idx]) > 600 else ''}")

License

Apache 2.0

Credits

• lm-provers/FineProofs-SFT — responses by DeepSeek-Math-V2, graded by Gemini-3-Pro
• galaxyMindAiLabs/stem-reasoning-complex — responses by DeepSeek R1 and gpt-oss-120b