---
title: EZS-Bench_data
canonical_url: "https://www.modelscope.cn/models/amap_cvlab/EZS-Bench_data"
md_url: "https://www.modelscope.cn/models/amap_cvlab/EZS-Bench_data.md"
repository: amap_cvlab/EZS-Bench_data
last_updated: 2026-03-25
downloads: 15
stars: 0
---

# EZS-Bench_data

> EZS-Bench_data - amap_cvlab 在 ModelScope 开源的模型。Evaluation data for EZS-Bench (Embodied Zero-Shot Benchmark), a benchmark for assessing video generation methods in robotic manipulation scenarios.

- **Repository**: amap_cvlab/EZS-Bench_data
- **Downloads**: 15
- **Stars**: 0
- **Last updated**: 2026-03-25

Source: https://www.modelscope.cn/models/amap_cvlab/EZS-Bench_data

---

# EZS-Bench Data

Evaluation data for **EZS-Bench** (Embodied Zero-Shot Benchmark), a benchmark for assessing video generation methods in robotic manipulation scenarios.

## Contents

- `video_prompt_question_196_ezs0.jsonl` — 196 evaluation samples, each containing:
  - `video`: path to the conditioning image
  - `prompt`: detailed scene description for video generation
  - `question`: VQA questions for evaluating robot fidelity
- `images/` — 196 conditioning images corresponding to each sample

## Usage

Use with the [EZS-Bench](https://github.com/ABot-PhysWorld/EZS-Bench) evaluation toolkit:

```bash
python evaluate_ezsbench.py \
    --data_file video_prompt_question_196_ezs0.jsonl \
    --method_name "YourMethod" \
    --method_dir /path/to/generated_videos \
    --output_dir ./results
```

## Citation

```bibtex
@article{abot-physworld2026,
  title={ABot-PhysWorld: Interactive World Foundation Model for Robotic Manipulation with Physics Alignment},
  author={Yuzhi Chen, Ronghan Chen, Dongjie Huo, Yandan Yang, Dekang Qi, Haoyun Liu, Tong Lin, Shuang Zeng, Junjin Xiao, Xinyuan Chang, Feng Xiong, Xing Wei, Zhiheng Ma, Mu Xu},
  year={2026}
}
```