{"nbformat":4,"nbformat_minor":2,"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.10"}},"cells":[{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":"import pandas as pd\ndf = pd.DataFrame({\n    'StudyInstanceUID': ['1.2.826.0.1.3680043.8.498.10047035057544427318018579121635276191',\n                         '1.2.826.0.1.3680043.8.498.10062861783145312629332250977456991776',\n                         '1.2.826.0.1.3680043.8.498.10067514707072572280263481548497591402'],\n    'ACL': [0.5, 0.5, 0.5],\n    'MCL': [0.5, 0.5, 0.5],\n    'Medial Meniscus': [0.5, 0.5, 0.5],\n    'Lateral Meniscus': [0.5, 0.5, 0.5],\n    'Medial OA': [0.5, 0.5, 0.5],\n    'Lateral OA': [0.5, 0.5, 0.5],\n    'PF OA': [0.5, 0.5, 0.5],\n    'Effusion': [0.5, 0.5, 0.5],\n    'Synovitis': [0.5, 0.5, 0.5],\n    'Baker\\'s': [0.5, 0.5, 0.5],\n    'Contusion': [0.5, 0.5, 0.5],\n    'Fracture': [0.5, 0.5, 0.5]\n})\ndf.to_csv('/kaggle/working/submission.csv', index=False)\nprint(f'Wrote {len(df)} rows')\n"}]}