---
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`.