File size: 1,702 Bytes
b8e4209 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 |
#!/usr/bin/python3
# -*- coding: utf-8 -*-
import argparse
import json
from pathlib import Path
from tqdm import tqdm
from project_settings import project_path
def get_args():
parser = argparse.ArgumentParser()
parser.add_argument(
"--data_dir",
default=(project_path / "original_data/DoubanConversaionCorpus").as_posix(),
type=str
)
parser.add_argument(
"--output_file",
default=(project_path / "data/douban.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 filename in tqdm(data_dir.glob("*.txt")):
with open(filename, "r", encoding="utf-8") as fin:
for row in fin:
splits = row.split("\t")
label = splits[0]
conversation = splits[1:]
if label != "1":
continue
row = {
"conversation": [
{
"role": "human" if i % 2 == 0 else "assistant",
"message": "".join(str(c).strip().split())
}
for i, c in enumerate(conversation)
],
"category": filename.stem,
"data_source": "chatterbot",
}
row = json.dumps(row, ensure_ascii=False)
fout.write("{}\n".format(row))
return
if __name__ == '__main__':
main()
|