#!/usr/bin/python3 # -*- coding: utf-8 -*- import argparse import json import os from pathlib import Path import sys pwd = os.path.abspath(os.path.dirname(__file__)) sys.path.append(os.path.join(pwd, '../../')) from datasets import load_dataset import pandas as pd from tqdm import tqdm from project_settings import project_path def get_args(): parser = argparse.ArgumentParser() parser.add_argument("--data_dir", default="./data/chip2019", type=str) parser.add_argument( "--output_file", default=(project_path / "data/chip2019.jsonl"), type=str ) args = parser.parse_args() return args def main(): args = get_args() data_dir = Path(args.data_dir) with open(args.output_file, "w", encoding="utf-8") as f: for name in ["train.csv", "dev_id.csv", "test_final.csv"]: filename = data_dir / name df = pd.read_csv(filename.as_posix()) for i, row in df.iterrows(): question1 = row["question1"] question2 = row["question2"] category = row["category"] if name == "train.csv": label = row["label"] flag = "train" elif name == "dev_id.csv": label = None flag = "validation" elif name == "test_final.csv": label = None flag = "test" else: raise AssertionError label = str(int(label)) if label is not None else None if label not in ("0", "1", None): raise AssertionError row = { "sentence1": question1, "sentence2": question2, "label": label, "category": category, "data_source": "chip2019", "split": flag } row = json.dumps(row, ensure_ascii=False) f.write("{}\n".format(row)) return if __name__ == '__main__': main()