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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/Dialog_Corpus-master/xiaohuangji50w_nofenci.conv/xiaohuangji50w_nofenci.conv").as_posix(),
type=str
)
parser.add_argument(
"--output_file",
default=(project_path / "data/xiaohuangji.jsonl"),
type=str
)
args = parser.parse_args()
return args
def main():
args = get_args()
with open(args.output_file, "w", encoding="utf-8") as fout:
with open(args.data_file, "r", encoding="utf-8") as fin:
conversation = list()
for row in fin:
splits = str(row).strip().split(maxsplit=1)
if len(splits) == 0:
continue
if len(splits) == 1:
if len(conversation) == 0:
continue
if len(conversation) == 2:
conversation[0]["role"] = "human"
conversation[1]["role"] = "assistant"
row_ = {
"conversation": conversation,
"category": None,
"data_source": "xiaohuangji",
}
row_ = json.dumps(row_, ensure_ascii=False)
fout.write("{}\n".format(row_))
conversation = list()
else:
message = splits[1]
conversation.append({
"role": "unknown",
"message": message,
})
return
if __name__ == '__main__':
main()
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