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#!/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()
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