#!/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 from lxml import etree 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/afqmc", type=str) parser.add_argument( "--output_file", default=(project_path / "data/afqmc.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 fout: for name in ["train.json", "dev.json", "test.json"]: filename = data_dir / name with open(filename.as_posix(), "r", encoding="utf-8") as fin: for row in fin: row = json.loads(row) sentence1 = row["sentence1"] sentence2 = row["sentence2"] if name == "train.json": label = row["label"] flag = "train" elif name == "dev.json": label = row["label"] flag = "validation" elif name == "test.json": label = None flag = "test" else: raise AssertionError if label not in ("0", "1", None): raise AssertionError row = { "sentence1": sentence1, "sentence2": sentence2, "label": label, "category": None, "data_source": "afqmc", "split": flag } row = json.dumps(row, ensure_ascii=False) fout.write("{}\n".format(row)) return if __name__ == '__main__': main()