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license: apache-2.0
language:
- en
tags:
- code
pretty_name: RoboTwin Embodied Video Generation Benchmark Dataset for WorldArena2.0 evaluation
size_categories:
- 100M<n<1B
---
# RoboTwin Embodied Video Generation Dataset for WorldArena2.0
This dataset is designed for embodied video generation and evaluation across two main leaderboards and an interactive arena of [WorldArena2.0](https://huggingface.co/spaces/WorldArena/WorldArena2.0).
## 0) Dataset Overview
- **Leaderboard (test_dataset)**: Evaluation set for Leaderboard.Extract the directory from test_dataset.tar.gz
Final evaluation results will be synchronized to Leaderboard and Arena(optional) respectively.
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## 1) Folder Structure & Modalities
For any episode key (for example `episodeK`), the following four files are one-to-one aligned and must be used together:
1. `data/.../episodeK.hdf5`
- Main action sequence container.
- Contains joint action, end-effector pose.
2. `instructions/.../episodeK.json`
- Language prompt.
- Contains one field: `instruction`.
- use `instruction` to generate a video dataset named `{model_name}_test` from test_dataset.
3. `first_frame/.../episodeK.jpg`
- Initial visual condition frame.
- Use this as the first frame when doing generation.
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## 2) Quick Start for Inference
To generate a future video for `episodeK`:
1. **Initial Condition**: Use `first_frame/.../episodeK.png`.
2. **Text-driven**: Extract `instruction` from `instructions/.../episodeK.json`and use these as prompt along with the corresponding first_frame to inference.
3. **Action-driven**: Use `data/.../episodeK.hdf5` as action/trajectory along with the corresponding first_frame to inference.
**Requirement**: Models should take the `first_frame` and `instruction/action` as input to generate a video set containing 1000(test) videos corresponding to `first_frame`, contains 1000(test) videos.
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## 3) Technical Specifications
Our data is sampled and processed from the **RoboTwin 2.0** dataset. For detailed technical specifications, HDF5 structure, and coordinate systems, please refer to the official documentation: [https://robotwin-platform.github.io/](https://robotwin-platform.github.io/)
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