|
|
|
|
|
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/qingyun-11w/12万对话语料青云库.csv").as_posix(), |
|
type=str |
|
) |
|
parser.add_argument( |
|
"--output_file", |
|
default=(project_path / "data/qingyun.jsonl"), |
|
type=str |
|
) |
|
|
|
args = parser.parse_args() |
|
return args |
|
|
|
|
|
def main(): |
|
args = get_args() |
|
|
|
with open(args.data_file, "r", encoding="utf-8") as fin, \ |
|
open(args.output_file, "w", encoding="utf-8") as fout: |
|
for row in fin: |
|
row = str(row).strip() |
|
splits = row.split(" | ") |
|
if len(splits) != 2: |
|
print(row) |
|
raise AssertionError |
|
|
|
question = splits[0].strip() |
|
answer = splits[1].strip() |
|
|
|
row = { |
|
"conversation": [ |
|
{ |
|
"role": "human", |
|
"message": question, |
|
}, |
|
{ |
|
"role": "assistant", |
|
"message": answer, |
|
}, |
|
], |
|
"category": None, |
|
"data_source": "qingyun", |
|
} |
|
row = json.dumps(row, ensure_ascii=False) |
|
fout.write("{}\n".format(row)) |
|
|
|
return |
|
|
|
|
|
if __name__ == '__main__': |
|
main() |
|
|
