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/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 82, in _split_generators
raise ValueError(
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 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 340, in get_dataset_split_names
info = get_dataset_config_info(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/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.
WBCAtt+ Dataset
WBCAtt+ is a dataset that contains attribute annotations and segmentation masks for 10k images of white blood cells.
- The dataset is here: pbcseg_final_v1.tar
- Please check the following GitHub for the data format and usage: https://github.com/apple2373/wbcattplus
Reference
If you find this dataset useful, please consider to cide:
Journal Version (this repository)
- Satoshi Tsutsui, Winnie Pang, Shuting He, and Bihan Wen, “WBCAtt+: Fine-Grained Pixel-Level Morphological Annotations for White Blood Cell Images,” Medical Image Analysis, 2026.
@article{tsutsui2026wbcattplus,
title={WBCAtt+: Fine-Grained Pixel-Level Morphological Annotations for White Blood Cell Images},
author={Tsutsui, Satoshi and Pang, Winnie and He, Shuting and Wen, Bihan},
journal={Medical Image Analysis},
year={2026}
}
Conference Version
- Satoshi Tsutsui, Winnie Pang, and Bihan Wen. WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological Attributes. Advances in Neural Information Processing Systems (NeurIPS) 2023.
@inproceedings{tsutsui2023wbcatt,
title={WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological Attributes},
author={Tsutsui, Satoshi and Pang, Winnie and Wen, Bihan},
booktitle={Advances in Neural Information Processing Systems (NeurIPS).},
year={2023}
}
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