The dataset viewer is not available for this dataset.
Error code: ConfigNamesError
Exception: DataFilesNotFoundError
Message: No (supported) data files found in dbaek111/CBIS-DDSM_1024
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
config_names = get_dataset_config_names(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 347, in get_dataset_config_names
dataset_module = dataset_module_factory(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1873, in dataset_module_factory
raise e1 from None
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1854, in dataset_module_factory
return HubDatasetModuleFactoryWithoutScript(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1245, in get_module
module_name, default_builder_kwargs = infer_module_for_data_files(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 595, in infer_module_for_data_files
raise DataFilesNotFoundError("No (supported) data files found" + (f" in {path}" if path else ""))
datasets.exceptions.DataFilesNotFoundError: No (supported) data files found in dbaek111/CBIS-DDSM_1024Need help to make the dataset viewer work? Open a discussion for direct support.
The CBIS-DDSM dataset consists of mammograms for 1,566 patients provided in DICOM format with metadata in CSV files. Among its contents, the full mammogram images, which originally numbered 3,120, had 34 excluded, resulting in 3,086 images. These were then converted to 8-bit PNG files and organized into 'cancer' and 'not_cancer' folders based on their pathology for both training and testing purposes.The CBIS-DDSM dataset consists of mammograms for 1,566 patients provided in DICOM format with metadata in CSV files. Among its contents, the full mammogram images, which originally numbered 3,120, had 34 excluded, resulting in 3,086 images. These were then converted to 8-bit PNG files and organized into 'cancer' and 'not_cancer' folders based on their pathology for both training and testing purposes.
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