{"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_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2023-07-14T21:14:22.968424Z","iopub.execute_input":"2023-07-14T21:14:22.968799Z","iopub.status.idle":"2023-07-14T21:14:23.010064Z","shell.execute_reply.started":"2023-07-14T21:14:22.968761Z","shell.execute_reply":"2023-07-14T21:14:23.008823Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{"execution":{"iopub.status.busy":"2023-06-30T21:02:18.202607Z","iopub.execute_input":"2023-06-30T21:02:18.204092Z","iopub.status.idle":"2023-06-30T21:02:18.214153Z","shell.execute_reply.started":"2023-06-30T21:02:18.204039Z","shell.execute_reply":"2023-06-30T21:02:18.212848Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_df = pd.read_csv(\"/kaggle/input/2023-kaggle-ai-report/sample_submission.csv\")","metadata":{"execution":{"iopub.status.busy":"2023-07-14T21:14:28.204506Z","iopub.execute_input":"2023-07-14T21:14:28.205016Z","iopub.status.idle":"2023-07-14T21:14:28.228933Z","shell.execute_reply.started":"2023-07-14T21:14:28.204974Z","shell.execute_reply":"2023-07-14T21:14:28.227925Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_df.loc[1, 'value'] = \"https://www.kaggle.com/bharatsharma1998/essay-notebook-with-text-data\"","metadata":{"execution":{"iopub.status.busy":"2023-07-14T21:14:34.935275Z","iopub.execute_input":"2023-07-14T21:14:34.935669Z","iopub.status.idle":"2023-07-14T21:14:34.941825Z","shell.execute_reply.started":"2023-07-14T21:14:34.935633Z","shell.execute_reply":"2023-07-14T21:14:34.940516Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_df.loc[0, 'value'] = \"Text Data\"","metadata":{"execution":{"iopub.status.busy":"2023-07-14T21:15:23.782829Z","iopub.execute_input":"2023-07-14T21:15:23.783250Z","iopub.status.idle":"2023-07-14T21:15:23.788448Z","shell.execute_reply.started":"2023-07-14T21:15:23.783206Z","shell.execute_reply":"2023-07-14T21:15:23.787304Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_df.loc[2, 'value'] = \"https://www.kaggle.com/code/bazooo/transformers-from-2020/comments#2335819\"","metadata":{"execution":{"iopub.status.busy":"2023-07-14T21:16:10.299120Z","iopub.execute_input":"2023-07-14T21:16:10.299617Z","iopub.status.idle":"2023-07-14T21:16:10.306008Z","shell.execute_reply.started":"2023-07-14T21:16:10.299574Z","shell.execute_reply":"2023-07-14T21:16:10.304552Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_df.loc[3, 'value'] = \"https://www.kaggle.com/code/zainabsheerin/2023-kaggle-ai-report/comments#2335837\"","metadata":{"execution":{"iopub.status.busy":"2023-07-14T21:16:10.831676Z","iopub.execute_input":"2023-07-14T21:16:10.832070Z","iopub.status.idle":"2023-07-14T21:16:10.838060Z","shell.execute_reply.started":"2023-07-14T21:16:10.832042Z","shell.execute_reply":"2023-07-14T21:16:10.836857Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_df.loc[4, 'value'] = \"https://www.kaggle.com/code/kensverse/ai-report/comments#2336073\"","metadata":{"execution":{"iopub.status.busy":"2023-07-14T21:16:11.273029Z","iopub.execute_input":"2023-07-14T21:16:11.273458Z","iopub.status.idle":"2023-07-14T21:16:11.279540Z","shell.execute_reply.started":"2023-07-14T21:16:11.273425Z","shell.execute_reply":"2023-07-14T21:16:11.278238Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_df","metadata":{"execution":{"iopub.status.busy":"2023-07-14T21:16:14.003592Z","iopub.execute_input":"2023-07-14T21:16:14.004015Z","iopub.status.idle":"2023-07-14T21:16:14.014290Z","shell.execute_reply.started":"2023-07-14T21:16:14.003984Z","shell.execute_reply":"2023-07-14T21:16:14.013248Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_df.to_csv('submission.csv', index = False)","metadata":{"execution":{"iopub.status.busy":"2023-07-14T21:16:22.114576Z","iopub.execute_input":"2023-07-14T21:16:22.114976Z","iopub.status.idle":"2023-07-14T21:16:22.128845Z","shell.execute_reply.started":"2023-07-14T21:16:22.114943Z","shell.execute_reply":"2023-07-14T21:16:22.127644Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}