Free guide · Oct 11, 2026

Inspect the reward before trusting an AI training score

How to inspect a task, identify its verifier, and compare two reward systems.

The short version

Xiaomi's MiMo V2.6 RL dataset card lists 7,780 rows and five domains: software engineering, vulnerability reproduction, knowledge work, web development and symbolic music. It distinguishes executable tests, rule checks, rubric judging and visual grading. The dataset is Apache 2.0 and links environments/training code; this is not a new consumer chat model. The displayed dataset size is 12.1 GB, so a viewer inspection can precede downloading it. Official dataset card

What's in the full guide

  1. 011. Choose two inspectable examples
  2. 022. Make a task worksheet
  3. 033. Separate requirement, artifact and reward
  4. 044. Compare what each reward can tell you
  5. 055. Decide whether running an environment is worthwhile
  6. 066. Write a careful conclusion

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