{"cells":[{"metadata":{},"cell_type":"markdown","source":"Since Google Colab does not have kaggle_datasets, we'll need to improvise a clean solution to get the Google Cloud Storage paths for the datasets we would like. Supposedly gcs paths change every 5-6 days so this notebook can be forked and re-ran.","execution_count":null},{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import numpy as np\nimport pandas as pd\nfrom glob import glob\nimport os\nfrom kaggle_datasets import KaggleDatasets","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"gcs_paths = [x.split('/')[2:][0] for x in glob('../input/*')]\ngcs_paths.remove('siim-isic-melanoma-classification')\ngcs_paths.sort()\ngcs_paths","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"path_dict = {}\n\nfor path in gcs_paths:\n    path_dict[path] = KaggleDatasets().get_gcs_path(path)\n    print(f'{path}\\t| {KaggleDatasets().get_gcs_path(path)}')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# copy and paste the dictionary into colab\npath_dict","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# modify the GCS_PATHs on colab\n\n# GCS_PATH[i] = path_dict[f'melanoma-{k}x{k}']\n# GCS_PATH2[i] = path_dict[f'isic2019-{k}x{k}']","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat":4,"nbformat_minor":4}