metadata
pretty_name: 3DRAG-Bench
license: mit
tags:
- 3d
- glb
- mesh
- editable-3d
- 3drag
- 3d-editing
size_categories:
- n<1K
configs:
- config_name: default
default: true
data_files:
- split: train
path: metadata.csv
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.