---
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**: `semantic_blocks_part2.tar.gz`
- **Size**: 0.81 GB (compressed)
- **Format**: GZ compressed tar archive

### Extract the dataset:

```bash
# For .tar.gz files
tar -xzf semantic_blocks_part2.tar.gz

# For .tar.xz files
tar -xJf semantic_blocks_part2.tar.gz

# For .tar.bz2 files
tar -xjf semantic_blocks_part2.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.