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{
"cells": [
{
"metadata": {},
"cell_type": "markdown",
"source": "预处理第一步：合并测试集的题目和答案",
"id": "be5125e8e3ab71fd"
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2024-09-09T07:57:36.566966Z",
"start_time": "2024-09-09T07:57:34.545954Z"
}
},
"cell_type": "code",
"source": [
"import json\n",
"\n",
"# 文件路径\n",
"question_path = './CMB/CMB-Exam/CMB-test/CMB-test-choice-question-merge.json'\n",
"answer_path = './CMB/CMB-Exam/CMB-test/CMB-test-choice-answer.json'\n",
"\n",
"# 读取文件的内容\n",
"with open(question_path, 'r', encoding='utf-8') as answer_file:\n",
" answer_data = json.load(answer_file)\n",
"\n",
"with open(answer_path, 'r', encoding='utf-8') as question_file:\n",
" question_data = json.load(question_file)\n",
"\n",
"# 初始化存储合并结果的列表\n",
"merged_data = []\n",
"\n",
"# 遍历答案数据\n",
"for answer_item in answer_data:\n",
" for question_item in question_data:\n",
" if answer_item[\"id\"] == question_item[\"id\"]:\n",
" # 将两个数据字典合并\n",
" merged_item = {**question_item, **answer_item}\n",
" merged_data.append(merged_item)\n",
" break\n",
"\n",
"# 将合并后的数据保存到新的文件中\n",
"with open('./CMB/CMB-Exam/CMB-test/CMB-test-merged-with-id.json', 'w', encoding='utf-8') as merged_file:\n",
" json.dump(merged_data, merged_file, ensure_ascii=False, indent=4)\n",
"\n",
"print(\"合并完成，数据已保存到 CMB-test-choice-merged-with-id.json 文件中。\")\n"
],
"id": "2ead8ebe22d1bed2",
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"合并完成，数据已保存到 CMB-test-choice-merged-with-id.json 文件中。\n"
]
}
],
"execution_count": 4
},
{
"metadata": {},
"cell_type": "markdown",
"source": "预处理第二步：将train、valid和test的字段统一起来，主要是删除测试集的id还有验证集的explanation字段",
"id": "2cdc6572b1bfea28"
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2024-09-09T07:57:37.704989Z",
"start_time": "2024-09-09T07:57:37.599535Z"
}
},
"cell_type": "code",
"source": [
"# 文件路径\n",
"merge_path = './CMB/CMB-Exam/CMB-test/CMB-test-merged-with-id.json'\n",
"\n",
"# 加载测试集\n",
"with open(merge_path, 'r', encoding='utf-8') as merge_file:\n",
" merge_data = json.load(merge_file)\n",
"\n",
"# 删除测试集的id字段\n",
"for item in merge_data:\n",
" del item[\"id\"]\n",
" \n",
"# 保存到新的文件中\n",
"with open('./CMB/CMB-Exam/CMB-test/CMB-test-merge.json', 'w', encoding='utf-8') as merge_file:\n",
" json.dump(merge_data, merge_file, ensure_ascii=False, indent=4)\n",
" \n",
"print(\"字段统一完成，数据已保存到 CMB-test-merge.json 文件中。\")"
],
"id": "c0542800b55838d1",
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"字段统一完成，数据已保存到 CMB-test-merged.json 文件中。\n"
]
}
],
"execution_count": 5
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2024-09-09T08:43:40.171865Z",
"start_time": "2024-09-09T08:43:40.161872Z"
}
},
"cell_type": "code",
"source": [
"# 文件路径\n",
"train_path = './CMB/CMB-Exam/CMB-val/CMB-val-merge.json'\n",
"\n",
"# 加载验证集\n",
"with open(train_path, 'r', encoding='utf-8') as train_file:\n",
" train_data = json.load(train_file)\n",
" \n",
"# 删除验证集的explanation字段\n",
"for item in train_data:\n",
" del item[\"explanation\"]\n",
" \n",
"# 保存到新的文件中\n",
"with open('./CMB/CMB-Exam/CMB-val/CMB-val-merge.json', 'w', encoding='utf-8') as train_file:\n",
" json.dump(train_data, train_file, ensure_ascii=False, indent=4)\n",
" \n",
"print(\"字段统一完成，数据已保存到 CMB-val-merge.json 文件中。\")"
],
"id": "566f2d1e6fc551e9",
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"字段统一完成，数据已保存到 CMB-val-merge.json 文件中。\n"
]
}
],
"execution_count": 8
},
{
"metadata": {},
"cell_type": "markdown",
"source": "预处理第三步：将数据集option字段的格式从字典转化为列表",
"id": "84a1b5c5e12a8dbd"
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2024-09-09T09:18:26.355571Z",
"start_time": "2024-09-09T09:18:21.625915Z"
}
},
"cell_type": "code",
"source": [
"# 样例\n",
"# 从{ \"A\": \"视网膜血管炎\", \"B\": \"黄斑水肿\", \"C\": \"脉络膜炎\", \"D\": \"下方玻璃体的雪球样混浊\", \"E\": \"肉芽肿性前葡萄膜炎\", \"F\": null }\n",
"# 变成 [ { \"key\": \"A\", \"value\": \"精神紧张诱发\" }, { \"key\": \"B\", \"value\": \"含化硝酸甘油减轻\" }, { \"key\": \"C\", \"value\": \"呼吸时加重，屏气时消失\" }, { \"key\": \"D\", \"value\": \"压迫加剧\" }, { \"key\": \"E\", \"value\": \"进食加剧\" } ]\n",
"\n",
"import json\n",
"\n",
"# 文件路径\n",
"train_path = './CMB/CMB-Exam/CMB-train/CMB-train-merge.json'\n",
"val_path = './CMB/CMB-Exam/CMB-val/CMB-val-merge.json'\n",
"test_path = './CMB/CMB-Exam/CMB-test/CMB-test-merge.json'\n",
"\n",
"# 加载训练集\n",
"with open(train_path, 'r', encoding='utf-8') as train_file:\n",
" train_data = json.load(train_file)\n",
" \n",
"# 加载验证集\n",
"with open(val_path, 'r', encoding='utf-8') as val_file:\n",
" val_data = json.load(val_file)\n",
" \n",
"# 加载测试集\n",
"with open(test_path, 'r', encoding='utf-8') as test_file:\n",
" test_data = json.load(test_file)\n",
" \n",
"# 将option字段的格式从字典转化为列表\n",
"def convert_option(data):\n",
" for item in data:\n",
" option = []\n",
" for key, value in item[\"option\"].items():\n",
" if value:\n",
" option.append({\"key\": key, \"value\": value})\n",
" item[\"option\"] = option\n",
" \n",
"convert_option(train_data)\n",
"convert_option(val_data)\n",
"convert_option(test_data)\n",
"\n",
"# 保存到新的文件中\n",
"with open(train_path, 'w', encoding='utf-8') as train_file:\n",
" json.dump(train_data, train_file, ensure_ascii=False, indent=4)\n",
" \n",
"with open(val_path, 'w', encoding='utf-8') as val_file:\n",
" json.dump(val_data, val_file, ensure_ascii=False, indent=4)\n",
" \n",
"with open(test_path, 'w', encoding='utf-8') as test_file:\n",
" json.dump(test_data, test_file, ensure_ascii=False, indent=4)"
],
"id": "35dfd0303032468a",
"outputs": [],
"execution_count": 3
},
{
"metadata": {},
"cell_type": "code",
"outputs": [],
"execution_count": null,
"source": "",
"id": "981c1a2d0dff8354"
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
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"language_info": {
"codemirror_mode": {
"name": "ipython",
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"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
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"nbformat": 4,
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