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license: mit
task_categories:
- other
tags:
- data-analysis
- agent
- reinforcement-learning
---
# data_agent_harbor_train
5000 deterministic data-analysis tasks for agent RL (training 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: {'easy': 3689, 'hard': 722, 'medium': 589}. 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`.
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