Scaling Versatile 3D Assets Editing with a Million-Scale Dataset
Paper • 2609.34271 • Published
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/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 246, in _split_generators
raise ValueError(
"`file_name`, `*_file_name`, `file_names` or `*_file_names` must be present as dictionary key in metadata files"
)
ValueError: `file_name`, `*_file_name`, `file_names` or `*_file_names` must be present as dictionary key in metadata files
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 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, 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.
GEdit3D-Bench
A large-scale, open-world benchmark for versatile 3D asset editing.
GEdit3D-Bench is the evaluation benchmark for Alchemy3D: an open-world 3D editing suite built from assets independent of the training data (newly synthesized content and curated Sketchfab assets). It contains 2,100 editing pairs over 6 edit types. Each item provides a source asset, source / target captions, source / target images, and an editing instruction. Evaluation jointly measures view quality, reference alignment, and MLLM-based scores.
A ModelScope mirror is also available at libd55/GEdit3D-Bench.
Dataset Layout
The benchmark contains source assets (glbs/), condition images (images/), and metadata CSVs. metadata.csv indexes the full set (2,100 pairs across add, remove, replace, local_appearance, global_appearance, animation). metadata_small.csv is the subset used for MLLM / human scoring (420 pairs), kept smaller because these evaluations are expensive.
Each row provides a source asset, source/target captions, source/target images, an editing instruction, and an edit type.
Usage
Download the benchmark:
hf download libadi/GEdit3D-Bench --repo-type dataset --local-dir GEdit3D-Bench
Evaluation code and baselines would be released at edit3dstudio.
License
Apache License 2.0. Downstream 3D generators and renderers you apply to these assets may have their own terms. Sketchfab-sourced assets may carry additional terms from their original licenses.
Citation
@misc{li2026scalingversatile3dassets,
title={Scaling Versatile 3D Assets Editing with a Million-Scale Dataset},
author={Badi Li and Tianxin Huang and Yu Zhou and Wei-Shi Zheng and Yi Ma and Shenghua Gao},
year={2026},
eprint={2609.34271},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2609.34271},
}
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