Add README

README.md

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+---
+title: SMM Dataset
+license: mit
+tags:
+- dataset
+- computer-vision
+- 3d
+- blocks
+- spatial-reasoning
+- minecraft
+size_categories:
+- 10G<n<100G
+---
+
+# SMM Dataset
+
+This dataset contains 3D block manipulation and spatial reasoning data for training AI models on spatial understanding and block construction tasks.
+
+## 📦 Download
+
+The dataset is provided as a compressed archive:
+- **File**: `SMM_dataset.tar.gz`
+- **Size**: 1.80 GB (compressed)
+- **Format**: GZ compressed tar archive
+
+### Extract the dataset:
+
+```bash
+# For .tar.gz files
+tar -xzf SMM_dataset.tar.gz
+
+# For .tar.xz files
+tar -xJf SMM_dataset.tar.gz
+
+# For .tar.bz2 files
+tar -xjf SMM_dataset.tar.gz
+```
+
+## 📊 Dataset Structure
+
+After extraction, you will find:
+
+```
+SMM/
+├── SMM_data/              # Main dataset files
+├── random_pipeline/       # Random block generation pipeline
+├── semantic_blocks_part1/ # First part of semantic block data
+├── semantic_blocks_part2/ # Second part of semantic block data
+└── sementic_blocks.tar.gz # Additional compressed semantic blocks
+```
+
+## 🎯 Usage
+
+This dataset can be used for:
+- Training models on spatial reasoning
+- 3D object manipulation and understanding
+- Block construction and planning tasks
+- Multi-view 3D reconstruction
+- Sequential decision making in 3D environments
+
+## 📝 Data Format
+
+The dataset contains:
+- **Images**: RGB images of block structures from multiple viewpoints
+- **Annotations**: Spatial relationships and block configurations
+- **Metadata**: Task descriptions and ground truth labels
+
+## 🔗 Related Resources
+
+- **Paper**: [Link to paper if available]
+- **Code**: [Link to training/inference code]
+- **Model**: [Link to trained models]
+
+## 📄 License
+
+This dataset is released under the MIT License.
+
+## 🙏 Citation
+
+If you use this dataset in your research, please cite:
+
+```bibtex
+@dataset{smm_dataset,
+  title={SMM Dataset: Spatial Reasoning with Minecraft Blocks},
+  author={Your Name},
+  year={2025},
+  publisher={Hugging Face},
+  url={https://huggingface.co/datasets/yinbq/SMM-Dataset}
+}
+```
+
+## 📧 Contact
+
+For questions or issues, please open an issue on the dataset repository.
+
+---
+
+**Note**: This is a large dataset. Make sure you have sufficient disk space (~40GB) before extracting.