| import shutil | |
| from huggingface_hub import hf_hub_download | |
| hf_token = 'HUGGINGFACE_API_KEY' | |
| repo_id = 'ibrahimhamamci/CT-RATE' | |
| directories = { | |
| 'metadata': ['Metadata_Attributes.xlsx', 'train_metadata.csv', 'validation_metadata.csv'], | |
| 'multi_abnormality_labels': ['train_predicted_labels.csv', 'valid_predicted_labels.csv'], | |
| 'radiology_text_reports': ['train_reports.csv', 'validation_reports.csv'] | |
| } | |
| # Download files from each directory | |
| for directory, files_to_download in directories.items(): | |
| for file_name in files_to_download: | |
| file_path = f"{directory}/{file_name}" | |
| hf_hub_download( | |
| repo_id=repo_id, | |
| repo_type='dataset', | |
| token=hf_token, | |
| subfolder='dataset', | |
| filename=file_path, | |
| cache_dir='./', | |
| local_dir='./', | |
| local_dir_use_symlinks=False) | |
| shutil.move(f'dataset/{directory}', directory) | |
| shutil.rmtree('./dataset') | |
| shutil.rmtree('./datasets--ibrahimhamamci--CT-RATE') | |