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#!/usr/bin/python3
# -*- coding: utf-8 -*-
import argparse
import json
from pathlib import Path
import pandas as pd
from tqdm import tqdm
from project_settings import project_path
def get_args():
parser = argparse.ArgumentParser()
parser.add_argument(
"--data_file",
default=(project_path / "original_data/Gossiping-Chinese-Corpus-master/data/Gossiping-QA-Dataset-2_0.csv").as_posix(),
type=str
)
parser.add_argument(
"--output_file",
default=(project_path / "data/ptt.jsonl"),
type=str
)
args = parser.parse_args()
return args
def main():
args = get_args()
df = pd.read_csv(args.data_file)
with open(args.output_file, "w", encoding="utf-8") as fout:
for i, row in df.iterrows():
question = row["question"]
answer = row["answer"]
row = {
"conversation": [
{
"role": "human",
"message": question,
},
{
"role": "assistant",
"message": answer,
},
],
"category": None,
"data_source": "ptt",
}
row = json.dumps(row, ensure_ascii=False)
fout.write("{}\n".format(row))
return
if __name__ == '__main__':
main()
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