{ "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 }