Create README.md

README.md

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+```markdown
+---
+language:
+- en
+pretty_name: WoW-1 Benchmark Samples
+tags:
+- robotics
+- physical-reasoning
+- causal-reasoning
+- action-understanding
+- video-understanding
+- embodied-ai
+- wow
+- arxiv:2509.22642
+license: mit
+task_categories:
+- video-classification
+- action-generation
+dataset_type: benchmark
+size_categories:
+- 1K<n<10K
+---
+
+# 🧠 WoW-1 Benchmark Samples
+
+**WoW-1 Benchmark Samples** is the official evaluation dataset released as part of the [WoW (World-Omniscient World Model)](https://github.com/wow-world-model/wow-world-model) project. This benchmark is designed to assess the physical consistency and causal reasoning capabilities of generative world models for robotics and embodied AI.
+
+## 📘 Dataset Overview
+
+This dataset contains **612** natural language prompts representing real-world robot interaction tasks. These instructions are used to evaluate world models on their ability to understand and generate plausible, physically grounded responses in video or action space.
+
+Each sample describes a short-term or long-horizon task involving:
+
+- Object manipulation (e.g., _"Put the screw driver into the drawer"_)
+- Physical causality (e.g., _"Pick up an egg and crack it into the bowl"_)
+- Spatial reasoning (e.g., _"Move the lid from the black pot to the blue pan"_)
+- State transitions (e.g., _"Turn off the light switch"_)
+
+## 🧪 Use Cases
+
+This dataset is intended for:
+
+- Evaluating generative video models on **physical realism**
+- Testing embodied agents on **causal reasoning**
+- Benchmarking **language-to-action** and **planning** models
+- Training or fine-tuning **robotic manipulation** systems
+
+## 🔢 Format
+
+- **Modality**: Text (natural language commands)
+- **Format**: Plain text / JSON / Parquet
+- **Example**:
+
+```json
+{
+  "text": "Put the apples on the table into the basket."
+}
+```
+
+## 📊 Dataset Stats
+
+- Number of samples: 612
+- Text lengths: 11 to 230 characters
+- Language: English
+
+## 📎 Example Samples
+
+- `Clean the table surface`
+- `Use the right arm to grab the pearl and give it to the left arm`
+- `Open the door of the red microwave`
+- `Place the tennis ball in the brown object`
+
+## 🔗 Related Models
+
+This dataset is used for evaluating models such as:
+
+- `WoW-1-DiT-2B`, `WoW-1-DiT-7B`
+- `WoW-1-Wan-14B`
+- `SOPHIA`-guided generative models
+
+## 📄 Related Paper
+
+> **[WoW: Towards a World omniscient World model Through Embodied Interaction](https://arxiv.org/abs/2509.22642)**  
+> *Xiaowei Chi et al., 2025 — arXiv:2509.22642*
+
+Please cite this paper if you use the dataset:
+
+```bibtex
+@article{chi2025wow,
+  title={WoW: Towards a World omniscient World model Through Embodied Interaction},
+  author={Chi, Xiaowei and Jia, Peidong and Fan, Chun-Kai and Ju, Xiaozhu and Mi, Weishi and Qin, Zhiyuan and Zhang, Kevin and Tian, Wanxin and Ge, Kuangzhi and Li, Hao and others},
+  journal={arXiv preprint arXiv:2509.22642},
+  year={2025}
+}
+```
+
+## 🌐 Project Links
+
+- 🔬 Project site: [wow-world-model.github.io](https://wow-world-model.github.io/)
+- 💻 GitHub: [github.com/wow-world-model/wow-world-model](https://github.com/wow-world-model/wow-world-model)
+- 📜 ArXiv: [arxiv.org/abs/2509.22642](https://arxiv.org/abs/2509.22642)
+
+## 🪪 License
+
+This dataset is released under the [MIT License](https://opensource.org/licenses/MIT).
+
+---
+
+🤗 We encourage the community to explore, evaluate, and extend this benchmark. Contributions and feedback are welcome via GitHub or the project website.
+```