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--- |
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title: SMM Dataset |
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license: mit |
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tags: |
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- dataset |
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- computer-vision |
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- 3d |
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- blocks |
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- spatial-reasoning |
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- minecraft |
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size_categories: |
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- 10G<n<100G |
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--- |
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# SMM Dataset |
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This dataset contains 3D block manipulation and spatial reasoning data for training AI models on spatial understanding and block construction tasks. |
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## 📦 Download |
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The dataset is provided as a compressed archive: |
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- **File**: `semantic_blocks_part2.tar.gz` |
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- **Size**: 0.81 GB (compressed) |
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- **Format**: GZ compressed tar archive |
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### Extract the dataset: |
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```bash |
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# For .tar.gz files |
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tar -xzf semantic_blocks_part2.tar.gz |
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# For .tar.xz files |
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tar -xJf semantic_blocks_part2.tar.gz |
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# For .tar.bz2 files |
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tar -xjf semantic_blocks_part2.tar.gz |
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``` |
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## 📊 Dataset Structure |
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After extraction, you will find: |
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``` |
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SMM/ |
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├── SMM_data/ # Main dataset files |
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├── random_pipeline/ # Random block generation pipeline |
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├── semantic_blocks_part1/ # First part of semantic block data |
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├── semantic_blocks_part2/ # Second part of semantic block data |
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└── sementic_blocks.tar.gz # Additional compressed semantic blocks |
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``` |
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## 🎯 Usage |
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This dataset can be used for: |
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- Training models on spatial reasoning |
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- 3D object manipulation and understanding |
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- Block construction and planning tasks |
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- Multi-view 3D reconstruction |
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- Sequential decision making in 3D environments |
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## 📝 Data Format |
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The dataset contains: |
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- **Images**: RGB images of block structures from multiple viewpoints |
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- **Annotations**: Spatial relationships and block configurations |
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- **Metadata**: Task descriptions and ground truth labels |
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## 🔗 Related Resources |
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- **Paper**: [Link to paper if available] |
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- **Code**: [Link to training/inference code] |
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- **Model**: [Link to trained models] |
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## 📄 License |
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This dataset is released under the MIT License. |
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## 🙏 Citation |
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If you use this dataset in your research, please cite: |
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```bibtex |
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@dataset{smm_dataset, |
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title={SMM Dataset: Spatial Reasoning with Minecraft Blocks}, |
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author={Your Name}, |
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year={2025}, |
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publisher={Hugging Face}, |
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url={https://huggingface.co/datasets/yinbq/SMM-Dataset} |
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} |
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``` |
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## 📧 Contact |
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For questions or issues, please open an issue on the dataset repository. |
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--- |
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**Note**: This is a large dataset. Make sure you have sufficient disk space (~40GB) before extracting. |
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