| license: mit | |
| task_categories: | |
| - other | |
| tags: | |
| - data-analysis | |
| - agent | |
| - reinforcement-learning | |
| # data_agent_harbor_eval | |
| 144 deterministic data-analysis tasks for agent RL (validation split). Each task gives an agent a Kaggle dataset and a question; the answer is graded deterministically (exact -> numeric tolerance -> list/percent normalization -> symbolic, **no LLM judge**). | |
| Difficulty tiers: {'hard': 54, 'easy': 52, 'medium': 38}. Environments build from base image `savatar101/env-data-agent-train:base`. | |
| ## Format | |
| Harbor task suite: `tasks/<id>/` (task.toml, instruction.md, environment/, tests/), `registry.json`, `manifest.parquet`. | |