| dataset_info: | |
| features: | |
| - name: image | |
| dtype: image | |
| - name: image_id | |
| dtype: string | |
| - name: caption | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 12809452439.625 | |
| num_examples: 65419 | |
| - name: validation | |
| num_bytes: 277877322.125 | |
| num_examples: 8175 | |
| - name: test | |
| num_bytes: 275221393.0 | |
| num_examples: 8176 | |
| download_size: 13356690345 | |
| dataset_size: 13362551154.75 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| - split: validation | |
| path: data/validation-* | |
| - split: test | |
| path: data/test-* | |
| ## Dataset Summary | |
| The "ROCO-radiology" dataset is derived from the Radiology Objects in COntext (ROCO) dataset, a large-scale medical and multimodal imaging collection. The language used is primarily English, and it covers the domain of medical imaging, specifically radiology. We only modified the dataset by choosing only for radiology dataset and convert the image into PIL Object. For further details and citation, pleaser refer to original author. |