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AdithyaSK/data_agent_harbor_eval

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… See the full description on the dataset page: https://huggingface.co/datasets/AdithyaSK/data_agent_harbor_eval.

Author / organizationAdithyaSK
License (as declared)mit
Downloads928 (as reported by Hugging Face)
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Created30 August 2026
Last updated at source31 August 2026
data-analysisagentreinforcement-learning
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