{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.11.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":113558,"databundleVersionId":14174843,"isSourceIdPinned":false,"sourceType":"competition"},{"sourceId":632002,"sourceType":"modelInstanceVersion","isSourceIdPinned":false,"modelInstanceId":476367,"modelId":492288}],"dockerImageVersionId":31153,"isInternetEnabled":false,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"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","trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"import pandas as pd\nfrom pathlib import Path","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-11-06T14:23:19.366212Z","iopub.execute_input":"2025-11-06T14:23:19.366553Z","iopub.status.idle":"2025-11-06T14:23:19.370713Z","shell.execute_reply.started":"2025-11-06T14:23:19.366534Z","shell.execute_reply":"2025-11-06T14:23:19.369688Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"COMP_DIR = Path('/kaggle/input/recodai-luc-scientific-image-forgery-detection')\nOUT_DIR = Path('/kaggle/working')\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-11-06T14:23:21.924312Z","iopub.execute_input":"2025-11-06T14:23:21.924576Z","iopub.status.idle":"2025-11-06T14:23:21.929073Z","shell.execute_reply.started":"2025-11-06T14:23:21.924558Z","shell.execute_reply":"2025-11-06T14:23:21.927994Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"ss = pd.read_csv(COMP_DIR / 'sample_submission.csv')","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-11-06T14:23:50.454597Z","iopub.execute_input":"2025-11-06T14:23:50.454864Z","iopub.status.idle":"2025-11-06T14:23:50.462884Z","shell.execute_reply.started":"2025-11-06T14:23:50.454844Z","shell.execute_reply":"2025-11-06T14:23:50.461509Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"\nss['annotation'] = 'authentic'\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-11-06T14:24:19.147040Z","iopub.execute_input":"2025-11-06T14:24:19.147381Z","iopub.status.idle":"2025-11-06T14:24:19.153656Z","shell.execute_reply.started":"2025-11-06T14:24:19.147359Z","shell.execute_reply":"2025-11-06T14:24:19.151591Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"out_path = OUT_DIR / 'submission.csv'\nss.to_csv(out_path, index=False)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-11-06T14:24:40.469581Z","iopub.execute_input":"2025-11-06T14:24:40.469983Z","iopub.status.idle":"2025-11-06T14:24:40.476502Z","shell.execute_reply.started":"2025-11-06T14:24:40.469961Z","shell.execute_reply":"2025-11-06T14:24:40.475597Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"print(\"✅ Submission created!\")\ndisplay(ss.head())","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-11-06T14:24:59.319939Z","iopub.execute_input":"2025-11-06T14:24:59.320212Z","iopub.status.idle":"2025-11-06T14:24:59.343200Z","shell.execute_reply.started":"2025-11-06T14:24:59.320194Z","shell.execute_reply":"2025-11-06T14:24:59.342035Z"}},"outputs":[],"execution_count":null}]}