The dataset viewer is not available for this subset.
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/folder_based_builder/folder_based_builder.py", line 133, in _split_generators
analyze(archives, downloaded_dirs, split_name)
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 107, in analyze
for downloaded_dir_file in dl_manager.iter_files(downloaded_dir):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 1350, in _iter_from_urlpaths
if xisfile(urlpath, download_config=download_config):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 733, in xisfile
fs, *_ = url_to_fs(path, **storage_options)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/fsspec/core.py", line 395, in url_to_fs
fs = filesystem(protocol, **inkwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/fsspec/registry.py", line 293, in filesystem
return cls(**storage_options)
^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/fsspec/spec.py", line 80, in __call__
obj = super().__call__(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/fsspec/implementations/zip.py", line 62, in __init__
self.zip = zipfile.ZipFile(
^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/zipfile/__init__.py", line 1354, in __init__
self._RealGetContents()
File "/usr/local/lib/python3.12/zipfile/__init__.py", line 1417, in _RealGetContents
endrec = _EndRecData(fp)
^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/zipfile/__init__.py", line 311, in _EndRecData
return _EndRecData64(fpin, -sizeEndCentDir, endrec)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/zipfile/__init__.py", line 257, in _EndRecData64
raise BadZipFile("zipfiles that span multiple disks are not supported")
zipfile.BadZipFile: zipfiles that span multiple disks are not supported
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.
UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation
Paper link: https://arxiv.org/abs/2504.21336
Code link: https://github.com/Luffy03/UniBiomed
NOTE THAT You need to download MedTrinity from https://huggingface.co/datasets/UCSC-VLAA/MedTrinity-25M.
NOTE THAT we are not the authors of the original datasets. Although all these datasets are publicly available for academic research, you need to cite the original works as shown in our paper. For certain datasets that necessitate approval from the authors, you need to download them from the original link.
Sorry that we hit the HuggingFace storage limit, some small datasets are available at Google drive.
We also provide the codes to process 3D images into 2D images for training and validation.
Download Dataset
cd UniBiomed
mkdir data
cd data
mkdir Biomed
cd Biomed
huggingface-cli download Luffy503/UniBiomed --repo-type dataset --local-dir . --cache-dir ./cache
Acknowledgement
We highly appreciate RadGenome, BiomedParse, VoCo, and MedTrinity for providing data preprocessing toolkits.
Citation
If you find this repo useful for your research, please consider citing the paper as follows:
@article{wu2025unibiomed,
title={UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation},
author={Wu, Linshan and Nie, Yuxiang and He, Sunan and Zhuang, Jiaxin and Chen, Hao},
journal={arXiv preprint arXiv:2504.21336},
year={2025}
}
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