atharva-naik-1/

metadsprm-data

Rubric-annotated agent trajectories for training and evaluating a rubric-conditioned Process Reward Model (PRM) for data science agents.

Each example is a (task_description, trajectory, rubric_instruction) triple with a 4-class label produced by Claude Sonnet 4.6 as judge:

Label Meaning

agent_failure The failure described by the rubric is present

agent_success The agent handled this aspect correctly… See the full description on the dataset page: https://huggingface.co/datasets/atharva-naik-1/metadsprm-data.