{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import json\nfrom pathlib import Path\nfrom tqdm import tqdm\n\nimport pandas as pd\n\nTEST_TOTAL = 346\n\nPATH = Path('/kaggle/input/tensorflow2-question-answering')\n!ls -1 {PATH}","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","collapsed":true,"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":false},"cell_type":"code","source":"def get_joined_tokens(answer: dict) -> str:\n    return '%d:%d' % (answer['start_token'], answer['end_token'])\n\ndef get_pred(json_data: dict) -> dict:\n    ret = {'short': 'YES', 'long': ''}\n    candidates = json_data['long_answer_candidates']\n    \n    paragraphs = []\n    tokens = json_data['document_text'].split(' ')\n    for cand in candidates:\n        start_token = tokens[cand['start_token']]\n        if start_token == '<P>' and cand['top_level'] and cand['end_token']-cand['start_token']>35:\n            break\n    else:\n        cand = candidates[0]\n        \n    ret['long'] = get_joined_tokens(cand)\n    \n    id_ = str(json_data['example_id'])\n    ret = {id_+'_'+k: v for k, v in ret.items()} \n    return ret\n\npreds = dict()\n\nwith open(PATH / 'simplified-nq-test.jsonl', 'r') as f:\n    for line in tqdm(f, total=TEST_TOTAL):\n        json_data = json.loads(line) \n        prediction = get_pred(json_data)\n        preds.update(prediction)\n            \nsubmission = pd.read_csv(PATH / 'sample_submission.csv')\nsubmission['PredictionString'] = submission['example_id'].map(lambda x: preds[x])\nsubmission.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}