Datasets:
Tasks:
Video-Text-to-Text
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
ArXiv:
License:
File size: 2,938 Bytes
c6c594b de6ed86 c6c594b de6ed86 c6c594b de6ed86 8df7bc5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 | ---
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},
}
```
|