Dataset/triviaqa/dataset/construct.py

import re
import csv
import json
import pandas as pd
# df = pd.read_parquet('train-00000-of-00001-288b64d2a0003a2f.parquet')
# 将数据框保存为CSV文件，并设置escapechar参数
# df.to_csv('train_triviaqa.csv',encoding="utf-8",escapechar='\\')
csv_file = 'train_triviaqa.csv'
jsonl_file = 'TriviaQA_train.jsonl'




# 生成JSONL文件
messages = []

with open(csv_file, 'r', encoding='utf-8') as file:
    reader = csv.reader((line.replace('\0', '') for line in file))
    next(reader)  # 跳过标题行

    for row in reader:
        if len(row) >= 4:
            context = row[1]
            question = row[2]
            answers = row[3]
            answer = answers
            message={ "instruction":"As a reading comprehension expert, you will receive context and question. Please understand the given Context first and then output the answer of the question based on the Context","input": str({'context':{context},'question':{question},}),"output":f'{answer}'}
            messages.append(message)
# 保存为JSONL文件
with open(jsonl_file, 'w', encoding='utf-8') as file:
    for message in messages:
        file.write(json.dumps(message, ensure_ascii=False) + '\n')