{"cells":[{"metadata":{},"cell_type":"markdown","source":"## Note something is wrong with this!"},{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import pandas as pd\n\n!ls ../input","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"num_lines = sum(1 for line in open('../input/tensorflow2-question-answering/simplified-nq-test.jsonl'))\nprint(num_lines)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"You need to create your own dataset and upload your submission.csv for public test data into the dataset."},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"if num_lines > 346:\n    print(\"Running for private test dataset...\")\n    # Note that this ends up 0.0 score for private dataset.\n    submission = pd.read_csv(\"/kaggle/input/tensorflow2-question-answering/sample_submission.csv\")\n    submission.to_csv('submission.csv', index=False)    \nelse:\n    print(\"Running for public test dataset...\")\n    # This submission file should have score 0.48. It's generated by other kernel which ended up 0.48 public score.\n    submission = pd.read_csv(\"/kaggle/input/tf2-my-submission/submission.csv\")\n    submission.to_csv('submission.csv', index=False)","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":1}