---
title: Abot-M0-MetaData
canonical_url: "https://www.modelscope.cn/datasets/amap_cvlab/Abot-M0-MetaData"
md_url: "https://www.modelscope.cn/datasets/amap_cvlab/Abot-M0-MetaData.md"
repository: amap_cvlab/Abot-M0-MetaData
last_updated: 2026-06-27
license: CC-BY-NC-SA-4.0
storage_size: "36 GB"
downloads: 335841
stars: 2
---

# Abot-M0-MetaData

> Abot-M0-MetaData - amap_cvlab 在 ModelScope 开源的数据集。Abot-M0-MetaData is the metadata package used in Abot-M0.

amap_cvlab/Abot-M0-MetaData 是 ModelScope 魔搭社区上的数据集，存储大小 36 GB，采用 CC-BY-NC-SA-4.0 许可。

- **Repository**: amap_cvlab/Abot-M0-MetaData
- **License**: CC-BY-NC-SA-4.0
- **Storage size**: 36 GB
- **Downloads**: 335841
- **Stars**: 2
- **Last updated**: 2026-06-27

Source: https://www.modelscope.cn/datasets/amap_cvlab/Abot-M0-MetaData

---

# Abot-M0-MetaData

`Abot-M0-MetaData` is the metadata package used in **Abot-M0**. 

This release provides the `meta` files used by the pretraining datasets for **LeRobot v2** data pipelines, focusing on dataset organization, indexing, statistics, and training configuration alignment, without redistributing full large-scale raw data.

Released dataset metadata in this package includes the following open-source datasets:
- `OXE`
- `OXE-AugE`
- `RoboCoin`
- `Agibot-Beta`
- `InternData`
- `Galaxea`

👋 For more information, you can refer to the following links:
- Github: [ABot-M0](https://github.com/amap-cvlab/ABot-Manipulation)
- arXiv Link: [ABot-M0 (arXiv:2602.11236)](https://arxiv.org/abs/2602.11236)
- Project Page: [ABot-M0 Website](https://amap-cvlab.github.io/ABot-Manipulation/)

---

## 1. Dataset Positioning

This repository primarily contains the **`meta` folder for Abot-M0 pretraining datasets (LeRobot v2 format)**, which is used for:

- Sample indexing and split management
- Statistics and normalization-related configuration alignment
- Metadata loading in training and evaluation pipelines

> Note: This repository distributes metadata only, not the complete raw multimodal dataset.

---

## 2. How to Use (LeRobot v2)

Place the `meta` directory from this dataset into the corresponding location under your LeRobot v2 data root, and keep the same folder structure as your local data files.

Suggested workflow:

1. Download `Abot-M0-MetaData`
2. Align the local directory hierarchy
3. Before running visualization/training scripts, verify that the `meta` path is correctly readable

If you are using the official ABot-Manipulation codebase, please follow its dataset preparation and training instructions first:

- <https://github.com/amap-cvlab/ABot-Manipulation>

---

## 3. Citation
If this dataset is useful for your research or engineering work, please consider citing ABot-Manipulation:

```bibtex
@article{yang2026abot,
  title={ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning},
  author={Yang, Yandan and Zeng, Shuang and Lin, Tong and Chang, Xinyuan and Qi, Dekang and Xiao, Junjin and Liu, Haoyun and Chen, Ronghan and Chen, Yuzhi and Huo, Dongjie and others},
  journal={arXiv preprint arXiv:2602.11236},
  year={2026}
}
```