| dataset_info: | |
| features: | |
| - name: id | |
| dtype: int64 | |
| - name: image | |
| dtype: image | |
| - name: conversation | |
| struct: | |
| - name: data | |
| list: | |
| - name: answer | |
| dtype: string | |
| - name: question | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 59333908 | |
| num_examples: 700 | |
| download_size: 59207371 | |
| dataset_size: 59333908 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| task_categories: | |
| - question-answering | |
| language: | |
| - en | |
| tags: | |
| - medical | |
| size_categories: | |
| - n<1K | |
| This dataset is made using raw data from [MURA (musculoskeletal radiographs)](https://arxiv.org/abs/1712.06957), a large dataset of bone X-rays. | |
| For each image in the original raw dataset we used the associated metadata to generate a simulated conversation about the image between a user and a chatbot. | |