README.md

metadata

license: apache-2.0
pretty_name: PRIMO Bench JSON
task_categories:
  - video-text-to-text
language:
  - en
configs:
  - config_name: all
    data_files:
      - split: train
        path: jsonl/part-*.jsonl
  - config_name: agibot-id
    data_files:
      - split: train
        path: jsonl_subsets/agibot-id/part-*.jsonl
  - config_name: agibot-ood
    data_files:
      - split: train
        path: jsonl_subsets/agibot-ood/part-*.jsonl
  - config_name: behavior-1k-id
    data_files:
      - split: train
        path: jsonl_subsets/behavior-1k-id/part-*.jsonl
  - config_name: behavior-1k-ood
    data_files:
      - split: train
        path: jsonl_subsets/behavior-1k-ood/part-*.jsonl
  - config_name: real-humanoid-ood
    data_files:
      - split: train
        path: jsonl_subsets/real-humanoid-ood/part-*.jsonl
  - config_name: robotwin-id
    data_files:
      - split: train
        path: jsonl_subsets/robotwin-id/part-*.jsonl
  - config_name: robotwin-ood
    data_files:
      - split: train
        path: jsonl_subsets/robotwin-ood/part-*.jsonl

PRIMO Bench JSON

This repository contains JSON annotations for PRIMO.

What Is Included

• raw_json/: original JSON files copied from the PRIMO release layout
• jsonl/: flattened JSONL shards for better Hugging Face Data Studio preview
• jsonl_subsets/: subset-specific JSONL shards used by Dataset Viewer config selector
• summary.json: row/shard metadata generated at build time

Split Type

• Task: Evaluation / Benchmark
• Source pattern: primo-bench/*/{id,ood}.json

Media Mapping

This repo stores annotations only.

Media files (videos/frames) should be prepared in a local folder like:

• ./primo-video/...

The path, init_frame_path, and current_frame_path fields are expected to resolve against your local PRIMO-Data root.

Quick Load Example

import json
from pathlib import Path

root = Path(".")
jsonl_dir = root / "jsonl"
rows = []
for fp in sorted(jsonl_dir.glob("part-*.jsonl")):
    with fp.open("r", encoding="utf-8") as f:
        for line in f:
            rows.append(json.loads(line))
print(len(rows))

Build Metadata

• Total rows: 23704
• Shards: 1
• Shard size: 50000

Viewer Subsets

The Hugging Face Dataset Viewer subset selector maps to these configs:

• all
• agibot-id
• agibot-ood
• behavior-1k-id
• behavior-1k-ood
• real-humanoid-ood
• robotwin-id
• robotwin-ood

Citations

If you find our work helpful for your research, please consider citing our work.

@misc{liu2026passiveobserveractivecritic,
      title={From Passive Observer to Active Critic: Reinforcement Learning Elicits Process Reasoning for Robotic Manipulation}, 
      author={Yibin Liu and Yaxing Lyu and Daqi Gao and Zhixuan Liang and Weiliang Tang and Shilong Mu and Xiaokang Yang and Yao Mu},
      year={2026},
      eprint={2603.15600},
      archivePrefix={arXiv},
      primaryClass={cs.RO},
      url={https://arxiv.org/abs/2603.15600}, 
}