license: mit
tags:
- robotics
- robot-learning
- preference-data
pretty_name: RoboArena Dataset Snapshot — 2026-07-17
RoboArena Dataset Snapshot — 2026-07-17
This dataset contains autonomous policy rollouts, task-success scores, policy-preference annotations, and related metadata collected by the RoboArena benchmark from its inception through July 17, 2026.
Snapshot statistics
- Evaluation sessions: 3,883
- Policy episodes: 10,783
- MP4 videos: 27,148
- NPZ proprioception/action files: 10,783
- Session metadata files: 3,883
Data layout
.
├── README.md
├── global_metadata.yaml
└── evaluation_sessions/
└── <evaluation_session_uuid>/
├── metadata.yaml
├── <label>_<policy_name>/
│ ├── ..._video_left.mp4 # when available
│ ├── ..._video_right.mp4 # when available
│ ├── ..._video_wrist.mp4
│ └── ..._npz_file.npz
└── ...
Each session's metadata.yaml contains its instruction, preference,
long-form feedback, timestamps, and per-policy outcome fields. The top-level
global_metadata.yaml contains aggregate counts and a policy index with
open-source and action-space annotations.
Policy names are preserved exactly inside metadata. For portable directory
names, characters outside letters, numbers, ., _, and - are replaced by
underscores. For example, allenai/MolmoAct2-DROID is stored under a directory
component named allenai_MolmoAct2-DROID.
For details about the benchmark, see “RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies,” arXiv:2506.18123.