---
title: robotwin2-full
canonical_url: "https://www.modelscope.cn/datasets/Dexmal/robotwin2-full"
md_url: "https://www.modelscope.cn/datasets/Dexmal/robotwin2-full.md"
repository: Dexmal/robotwin2-full
last_updated: 2026-07-21
license: cc
storage_size: "37 GB"
downloads: 350
stars: 0
---

# robotwin2-full

> robotwin2-full - Dexmal 在 ModelScope 开源的数据集。RoboTwin 2.0 Dataset

Dexmal/robotwin2-full 是 ModelScope 魔搭社区上的数据集，存储大小 37 GB，采用 cc 许可。

- **Repository**: Dexmal/robotwin2-full
- **License**: cc
- **Storage size**: 37 GB
- **Downloads**: 350
- **Stars**: 0
- **Last updated**: 2026-07-21

Source: https://www.modelscope.cn/datasets/Dexmal/robotwin2-full

---

# RoboTwin 2.0 Dataset

Dexdata format RoboTwin 2.0 dataset.

## Download and Extract

If the dataset is uploaded as split tar archives:

```bash
cat robotwin2.tar.part-* | tar -xf -
```

After extraction, the dataset directory will be:

```text
robotwin2.0/
```

## Dataset Structure

```text
robotwin2.0/
├── jsonl/
│   └── <task_name>/
│       ├── clean/
│       └── randomized/
└── video/
    └── <task_name>/
        ├── clean/
        └── randomized/
```

Each task directory contains two data variants:

- `clean`: data generated in the clean/default setting
- `randomized`: data generated with domain randomization

## Citation

```bibtex
@article{chen2025robotwin,
  title={RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation},
  author={Chen, Tianxing and Chen, Zanxin and Chen, Baijun and Cai, Zijian and Liu, Yibin and Liang, Qiwei and Li, Zixuan and Lin, Xianliang and Ge, Yiheng and Gu, Zhenyu and others},
  journal={arXiv preprint arXiv:2506.18088},
  year={2025}
}
```