Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark
Paper • 2310.16044 • Published
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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/webdataset/webdataset.py", line 80, in _split_generators
raise ValueError(
...<2 lines>...
)
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 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.
Stanford-ORB — Unofficial Mirror
This repository is an unofficial mirror of the Stanford-ORB dataset by Kuang et al. (NeurIPS 2023), provided to improve download accessibility for research users. No modifications have been made to the dataset unless noted below.
- Official project page: stanford-orb.github.io
- Official repository: StanfordORB/Stanford-ORB
The Stanford-ORB paper states that the dataset is released under the MIT License, albeit no such marking on their website or github repo.
Contents
| File | Size | Description |
|---|---|---|
blender_LDR.tar.gz |
~11.6 GB | Blender-rendered LDR images |
blender_HDR.tar.gz |
~76 GB | Blender-rendered HDR images |
ground_truth.tar.gz |
~5 GB | Ground-truth capture data |
Citation
If you use this dataset, please cite the original Stanford-ORB paper:
@inproceedings{kuang2023stanfordorb,
title={Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark},
author={Kuang, Zhengfei and Zhang, Yunzhi and Yu, Hong-Xing and Agarwala, Samir and Wu, Shangzhe and Wu, Jiajun},
booktitle={Advances in Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track},
year={2023}
}
License
The original Stanford-ORB paper states that the dataset is released under the MIT License (implied — no explicit license file or marking exists on the official project page or GitHub repository at the time of mirroring).
Disclaimer
This mirror is maintained for convenience only as I've found the dowload speeds from the offical mirror a tad slow. For the canonical, up-to-date dataset, please refer to the official repository.
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