Category

Language: RL environments and AI benchmarks

AI benchmarks
26
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Snapshot 2026-10-11. How categories are built · Where the data comes from

In short

What are RL environments for language?
A simulated workplace where an AI agent practises a task (a code repository, a browser, business software) and an automatic grader scores each attempt. Labs train on thousands of these attempts. Bought to improve models.

Only benchmarks use the Language tag: the RL environment directories file their vendors under other categories. Browse all RL environments.

AI benchmarks 26

None confirmed yet.

26 not yet confirmedListed in the catalog; no line from its own site or paper confirms it yet.
  1. MTEB-BR
  2. AraGen v3
  3. HellaSwag
  4. PIQA
  5. Prosa
  6. WinoGrande
  7. HindiGen v1
  8. PL-MTEB
  9. PTEB
  10. C4STYLI
  11. ANLI
  12. LAMBADA
  13. The Harder Text Embedding Benchmark (HTEB)
  14. OpenHuEval
  15. LID Benchmark
  16. Seneca-TRBench
  17. MEGA UDPOS
  18. La Leaderboard
  19. Open Arabic LLM Leaderboard
  20. Open Chinese LLM Leaderboard
  21. Open Italian LLM Leaderboard
  22. Open Japanese LLM Leaderboard
  23. Open Ko-LLM Leaderboard
  24. Open Portuguese LLM Leaderboard
  25. Ukrainian LLM Leaderboard
  26. Multi-genre Semantic Segmentation Benchmark for Conversational Arabic

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