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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
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()
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