Datasets:
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/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.
PolypGen2021 Processed Binary Segmentation
Processed PolypGen2021 colonoscopy dataset for prompt-guided binary polyp segmentation.
Download and extract
Download PolypGen2021.tar, then extract it:
tar -xf PolypGen2021.tar
The extracted layout is:
PolypGen2021/
└── PolypGen2021_binary/
├── train/
│ ├── references/
│ └── targets/
└── validation/
├── references/
├── targets/
└── specs/
Processing summary
- 8,037 total samples.
- Train: 6,429 samples.
- Validation: 1,608 samples.
- All 4,275 source negative samples are retained.
- No test split and no overlay images.
- Reference images are PNG files.
- Binary targets use
[0, 255, 0]for polyp tissue and[0, 0, 0]for background. - A target is entirely black when no polyp is present.
- Six prompt templates are assigned deterministically with seed 42.
- Validation includes one JSON evaluation spec per sample.
Archive SHA-256:
411f4e3853862b6760f28b694be0bbf9c63149f382519a48962188fb78c9faf2
Source and license
This is a processed derivative of the PolypGen dataset:
- Official project: https://github.com/DebeshJha/PolypGen
- Dataset paper: https://doi.org/10.1038/s41597-023-01981-y
- Source mirror used for this processing run: https://www.kaggle.com/datasets/kokoroou/polypgen2021
The official PolypGen release is published under the Creative Commons Attribution 4.0 International license (CC BY 4.0). Users should cite the original paper and comply with the original dataset terms.
Citation
@article{ali2023multi,
title={A multi-centre polyp detection and segmentation dataset for generalisability assessment},
author={Ali, Sharib and Jha, Debesh and Ghatwary, Noha and Realdon, Stefano and Cannizzaro, Renato and Salem, Osama E and Lamarque, Dominique and Daul, Christian and Riegler, Michael A and Anonsen, Kim V and others},
journal={Scientific Data},
volume={10},
number={1},
pages={75},
year={2023}
}
- Downloads last month
- 16