Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 289, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 83, in _split_generators
                  raise ValueError(
              ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 343, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 294, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

SMM Dataset

This dataset contains 3D block manipulation and spatial reasoning data for training AI models on spatial understanding and block construction tasks.

πŸ“¦ 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:

# 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

πŸ“Š Dataset Structure

After extraction, you will find:

SMM/
β”œβ”€β”€ SMM_data/              # Main dataset files
β”œβ”€β”€ random_pipeline/       # Random block generation pipeline
β”œβ”€β”€ semantic_blocks_part1/ # First part of semantic block data
β”œβ”€β”€ 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

πŸ“ 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

πŸ”— Related Resources

  • Paper: [Link to paper if available]
  • Code: [Link to training/inference code]
  • Model: [Link to trained models]

πŸ“„ License

This dataset is released under the MIT License.

πŸ™ Citation

If you use this dataset in your research, please cite:

@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}
}

πŸ“§ 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.

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