Create Readme.md

Readme.md

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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) 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.
+
+---
+
+## 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.
+
+---
+
+## 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.
+
+---
+
+## 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/)
+
+---