empero-ai/MiniMax-M3-150k-Mixed

m3-alldomains-verified-107k

Verified distillation traces generated with faststill v0.0.1 — a pipeline that generates (prompt, reasoning, output) triplets from any OpenAI-compatible chat-completions endpoint and deterministically verifies every row before keeping it. A row is verified=true only when a machine check (executed unit tests, exact / normalized answer compare) confirmed it, so wrong labels are filtered out instead of poisoning a student model.

Dataset summary

• —Rows: 107,060 (all verified)
• —Tasks: code, ifeval, math, math_latex, mc
• —Source prompt sets: amcaime, aopsforum, arc, cnk12, evalplus, gsm8k, humaneval, ifeval, kodcode, limo, math, mbpp, medmcqa, medqa, metamath, mmlu, mmlupro, olympiads, openbookqa, orcamath, pubmedqa, sciq, syntheticamc, synthetic_math, theoremqa
• —Teacher model(s): MiniMax-M3
• —Generated: 2026-06-19T06:56:36.325801+00:00
• —Generator: faststill v0.0.1

Using it for SFT

Each row separates the model's chain-of-thought (reasoning) from its final answer/function (output). For supervised fine-tuning, build the assistant turn from reasoning + output on rows where verified == true.

from datasets import load_dataset
ds = load_dataset("json", data_files="*.jsonl", split="train")
ds = ds.map(lambda r: {"messages": [
    {"role": "user", "content": r["prompt"]},
    {"role": "assistant",
     "content": r["reasoning"] + "\n\n" + r["output"]},
]})

Fields

Statistics

Tokens — prompt: 30,366,412 · completion: 72,197,326

Verification & limitations

• —Code is executed against the dataset's unit tests in a sandboxed subprocess (resource limits, scrubbed env, process-group kill, a static reward-hack scanner). It is defense-in-depth, not a VM.
• —Math anchors to the final answer and compares exactly (integers) / tightly (floats); math_latex is case-sensitive and delimiter-preserving.
• —The verifier fails closed: a borderline row is dropped, not kept — so verified=false rows include genuinely-wrong outputs and outputs the checker couldn't parse. Filter to verified == true for training.

Support / Donate

If this tool helped you, consider supporting the project:

• —BTC: bc1qx6zepu6sfkvshgdmc4ewu6pk6rpadvpgffpp7v
• —LTC: ltc1qv2mefzps2vtjcpwfx8xxdrpplrcvltswm68r7x
• —XMR: 42Dbm5xg5Nq26fdyzfEU7KBnAJfhi7Cvz5J2ex5CzHXkfKuNEJzYCcmJ1GTbgjFZ5MBx72sdG1G9239Cd6rsZfv4QeDkYJY

Links

• —Project: https://empero.org
• —Generated with faststill v0.0.1