Datasets:

nhatcm
/

hri_diff_large_eval

configs:
  - config_name: results
    data_files:
      - split: test
        path: evaluation_summary.jsonl
tags:
  - robotics
  - human-robot-interaction
  - evaluation

HRI-diff large: HITBench closed-loop evaluation

Model: https://huggingface.co/nhatcm/hri_diff_large

This release contains 180 object-perturbed tomato-to-bowl rollouts across nine interactions, with 20 frozen states per interaction. Each rollout contains a JSON summary, trajectory arrays, and an MP4. The browsable evaluation_summary.jsonl gives relative paths to those files.

The evaluation used the sealed perturbation bank and human-plan initialization, 50-action prediction, one-action execution with replanning, a 650-step cap, and raw policy actions without a safety filter or transfer guards.

Successes: overall 6/180, task 4/180, HRI 84/180, safety 166/180.