Hugging Face's logo

Datasets:
DanRuguo
/
W-PVLMedSeg-Datasets

Tasks:
Image Segmentation
Languages:
English
Size:
100K<n<1M
ArXiv:
Tags:
medical-image-segmentation
medical-imaging
vision-language
wpvlmedseg
License:
Dataset card Files
xet
 Community
Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    ValueError
Message:      Invalid string class label W-PVLMedSeg-Datasets@0692d803f5432b570839b1703ac9434e8de15d55
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2240, in __iter__
                  example = _apply_feature_types_on_example(
                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2157, in _apply_feature_types_on_example
                  encoded_example = features.encode_example(example)
                                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2152, in encode_example
                  return encode_nested_example(self, example)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1437, in encode_nested_example
                  {k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1460, in encode_nested_example
                  return schema.encode_example(obj) if obj is not None else None
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1143, in encode_example
                  example_data = self.str2int(example_data)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1080, in str2int
                  output = [self._strval2int(value) for value in values]
                            ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1101, in _strval2int
                  raise ValueError(f"Invalid string class label {value}")
              ValueError: Invalid string class label W-PVLMedSeg-Datasets@0692d803f5432b570839b1703ac9434e8de15d55

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.

W-PVLMedSeg Datasets

This dataset repository contains the biomedical image segmentation datasets used by W-PVLMedSeg, packaged as one zip archive per dataset. The archive contents preserve the project layout:

<DATASET>/
  Prompts_Folder/
  Train_Folder/
    img/
    label/
  Val_Folder/
    img/
    label/
  Test_Folder/
    img/
    label/

Download all archives with:

huggingface-cli download DanRuguo/W-PVLMedSeg-Datasets --repo-type dataset --local-dir data_zips

Then unzip each archive into the project data/ directory so paths such as data/BUSI/Train_Folder/ are available to the training configs.

Contents

  • Total archived size: 11.22 GB
  • Manifest with archive checksums: manifest.json
Dataset Modality Organ Files Zip Source
BKAI Endoscopy Colon 2005 1.36 GB source
BRISC MRI Brain 12007 783.04 MB source
BTMRI MRI Brain 10141 582.86 MB source
BUID Ultrasound Breast 471 57.27 MB source
BUSBRA Ultrasound Breast 3757 127.72 MB source
BUSI Ultrasound Breast 1573 160.19 MB source
BUSUC Ultrasound Breast 1629 46.81 MB source
ClinicDB Endoscopy Colon 1231 52.69 MB source
ColonDB Endoscopy Colon 767 91.41 MB source
Covid19 X-ray Chest 18525 209.87 MB source
CVC300 Endoscopy Colon 139 16.51 MB source
EUS Ultrasound Pancreas 76341 4.58 GB source
ISIC Dermatoscopy Skin 2569 2.65 GB source
Kvasir Endoscopy Colon 2013 339.57 MB source
UDIAT Ultrasound Breast 333 19.40 MB source
UWaterlooSkinCancer Dermatoscopy Skin 454 213.18 MB source

Notes

These archives aggregate public research datasets and prompt files used for W-PVLMedSeg experiments. Please review and follow the license and usage terms of each original dataset source before redistribution, clinical use, or commercial use.
Downloads last month
21
Total file size:
12.1 GB

Papers for DanRuguo/W-PVLMedSeg-Datasets