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{
"cells": [
{
"metadata": {},
"cell_type": "markdown",
"source": "生成答案是原始文本的Multiple Choice的prompt（考虑了多种语言的格式，使用4options）",
"id": "f205851d8d2c3a64"
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2024-09-09T10:57:51.564790Z",
"start_time": "2024-09-09T10:57:42.760548Z"
}
},
"cell_type": "code",
"source": [
"from datasets import load_dataset\n",
"import os\n",
"import json\n",
"\n",
"# Load the dataset\n",
"dataset = load_dataset(\"fzkuji/cmexam\", trust_remote_code=True)\n",
"\n",
"# Define the save path\n",
"save_path = f\"./data/llama-factory\" # Change this path to your local directory\n",
"os.makedirs(save_path, exist_ok=True)\n",
"\n",
"# Function to save data as JSON with specified columns\n",
"def save_as_json(data, filename):\n",
" file_path = os.path.join(save_path, filename)\n",
" \n",
" data_to_save = []\n",
" for item in data:\n",
" # Extract the option texts and generate option letters dynamically\n",
" option_texts = []\n",
" option_letters = []\n",
" for idx, option in enumerate(item['Options']):\n",
" # Handle different data structures for options\n",
" if isinstance(option, dict):\n",
" option_text = option.get('value', '')\n",
" else:\n",
" option_text = str(option)\n",
" option_texts.append(option_text)\n",
" option_letters.append(chr(65 + idx)) # Generate letters 'A', 'B', etc.\n",
" \n",
" # Create a mapping for the current item\n",
" dict_num = {letter: idx for idx, letter in enumerate(option_letters)}\n",
" \n",
" # Process the answer keys, assuming Answer is a single string of concatenated letters (e.g., \"ABC\")\n",
" answer_keys = item['Answer']\n",
" if isinstance(answer_keys, str):\n",
" # Split the answer string into individual letters (e.g., \"ABC\" -> ['A', 'B', 'C'])\n",
" answer_keys = list(answer_keys)\n",
" elif isinstance(answer_keys, list):\n",
" pass # Already a list\n",
" elif answer_keys is None:\n",
" print(f\"Warning: Answer is None for item '{item['Question']}', skipping...\")\n",
" continue # Skip items with no answer\n",
" else:\n",
" # Skip if 'Answer' is not a string or list\n",
" print(f\"Warning: Unexpected type for 'Answer' in item '{item['Question']}': {type(answer_keys)}\")\n",
" continue\n",
" \n",
" # Map the answer keys to the actual option texts, but skip keys that are out of range\n",
" answer_text = []\n",
" for ans in answer_keys:\n",
" if ans in dict_num:\n",
" idx = dict_num[ans]\n",
" answer_text.append(option_texts[idx])\n",
" else:\n",
" print(f\"Warning: Answer '{ans}' not found in options for item '{item['Question']}'\")\n",
" \n",
" # Construct the input text\n",
" input_text = f\"问题：{item['Question']}\\n选项：\\n\" + \"\\n\".join(\n",
" [f\"\\t{letter}. {text}。\" for letter, text in zip(option_letters, option_texts)]\n",
" )\n",
" \n",
" # Add the instruction, input, and output to the data\n",
" if answer_text:\n",
" data_to_save.append({\n",
" \"instruction\": \"假设您是一名医生，请回答以下选择题。请您输出答案的文本内容（不包含选项序号）。\",\n",
" \"input\": input_text,\n",
" \"output\": \"，\".join(answer_text) # Join multiple answers with commas\n",
" })\n",
" else:\n",
" print(f\"Warning: No valid answers for item '{item['Question']}', skipping...\")\n",
" \n",
" # Write the modified data to a JSON file\n",
" with open(file_path, 'w', encoding='utf-8') as f:\n",
" json.dump(data_to_save, f, ensure_ascii=False, indent=4)\n",
"\n",
"# Save the modified data for train, validation, and test splits\n",
"save_as_json(dataset['train'], 'train.json')\n",
"save_as_json(dataset['validation'], 'validation.json')\n",
"save_as_json(dataset['test'], 'test.json')\n"
],
"id": "54192ba87c09ac2b",
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Warning: Answer 'E' not found in options for item '不属于阿片类镇痛药的是'\n",
"Warning: No valid answers for item '不属于阿片类镇痛药的是', skipping...\n",
"Warning: Answer 'E' not found in options for item '结构中含有两个手性碳原子，有四个异构体的药物是'\n",
"Warning: No valid answers for item '结构中含有两个手性碳原子，有四个异构体的药物是', skipping...\n",
"Warning: Answer 'E' not found in options for item '将苯丙氨酸引入氮芥结构中得到美法伦的目的是'\n",
"Warning: No valid answers for item '将苯丙氨酸引入氮芥结构中得到美法伦的目的是', skipping...\n",
"Warning: Answer 'E' not found in options for item '化学名为4-（2-氨基乙基）-1、2-苯二酚盐酸盐的药物是'\n",
"Warning: No valid answers for item '化学名为4-（2-氨基乙基）-1、2-苯二酚盐酸盐的药物是', skipping...\n",
"Warning: Answer 'E' not found in options for item '非处方药的使用要求'\n",
"Warning: Answer 'E' not found in options for item '面对患者，药学服务的重要人群有'\n",
"Warning: Answer 'E' not found in options for item '针刺用毫针的常用消毒方法有'\n",
"Warning: Answer is None for item '由国家制定，各省可根据当地经济水平、医疗需求和用药习惯适当进行调整的是', skipping...\n",
"Warning: Answer 'E' not found in options for item '分子中含有季铵结构，中枢作用较弱的药物是'\n",
"Warning: No valid answers for item '分子中含有季铵结构，中枢作用较弱的药物是', skipping...\n",
"Warning: Answer 'E' not found in options for item '在体内经代谢后，其代谢产物具有活性的药物是'\n"
]
}
],
"execution_count": 1
},
{
"metadata": {},
"cell_type": "markdown",
"source": "备注，有Warning的原因是有些题目的答案为空，或者选项不完整。这些题目会被跳过，不会被保存到JSON文件中。",
"id": "c94e6ffe4fd9be8d"
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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