Xiaomi open-sources 989 RL environments used for a 9B MiMo model

Alexander Doria reports that the released set is a smaller selection of 989 environments for RL training a 9B distilled model, not the full MiMo.

Rewards are not self-contained: the general part requires setting up a judge, and webdev relies on its own grader service and VLM. The most important content is in the general/envs directory and Docker setup rather than the Hugging Face dataset, offering a solid mix of real and simulated documents.