3DRAG-Bench

This dataset contains 93 curated 3D object assets for 3DRAG 3D editing experiments. Each object is stored as a GLB mesh together with a cleaned editing specification.

Dataset Structure

.
+-- README.md
+-- LICENSE
+-- .gitattributes
+-- metadata.csv
+-- name_mapping.csv
`-- assets/
    `-- <asset_name>/
        +-- model.glb
        `-- dataset_input_clean.json

Files

• assets/<asset_name>/model.glb: GLB asset file.
• assets/<asset_name>/dataset_input_clean.json: editing specification with handle points, target points, and confirmed editable regions.
• metadata.csv: tabular index for the dataset viewer and programmatic loading.
• name_mapping.csv: mapping from original object names to normalized asset names.

Dataset Summary

• Number of assets: 93
• Number of GLB files: 93
• Number of JSON metadata files: 93
• Total GLB size: 138,149,824 bytes
• Total asset directory size at preparation time: 138,216,607 bytes
• Largest GLB: 8,080,936 bytes
• Smallest GLB: 598,460 bytes

Metadata Fields

metadata.csv contains one row per asset:

• asset_name: normalized object directory name using lowercase snake_case.
• original_asset_name: original object name before normalization.
• model_path: relative path to the GLB file.
• metadata_path: relative path to the cleaned editing JSON file.
• glb_bytes: GLB file size in bytes.
• glb_sha256: SHA-256 checksum for integrity checks.
• source: source subset recorded during collection.
• n_components: number of editable components.
• chosen_type: selected editable-region representation.
• validation_iou: validation IoU recorded by the collection pipeline.
• n_handle: number of handle points.
• n_spheres: number of confirmed sphere regions.
• n_cubes_center: number of confirmed center-format cube regions.
• n_cubes_corner: number of confirmed corner-format cube regions.

Naming

Asset directories are normalized to lowercase snake_case. The original object names are preserved in original_asset_name in metadata.csv and in name_mapping.csv.

Loading

from datasets import load_dataset

dataset = load_dataset("AeTherRaIn/3DRAG-Bench")
print(dataset["train"][0])

To read a GLB file after downloading the repository:

from pathlib import Path

row = dataset["train"][0]
model_path = Path(row["model_path"])
metadata_path = Path(row["metadata_path"])

License

This dataset is released under the MIT License. See LICENSE for details.

Citation

If you use this dataset, please cite the associated 3DRAG project or paper if applicable.