---
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

```python
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}, 
}
```