sentence_pair / examples /preprocess /process_pawsx_zh.py
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#!/usr/bin/python3
# -*- coding: utf-8 -*-
import argparse
import json
import os
import sys
pwd = os.path.abspath(os.path.dirname(__file__))
sys.path.append(os.path.join(pwd, '../../'))
from datasets import load_dataset
from tqdm import tqdm
from project_settings import project_path
def get_args():
parser = argparse.ArgumentParser()
parser.add_argument("--dataset_path", default="shibing624/nli_zh", type=str)
parser.add_argument("--dataset_name", default="PAWSX", type=str)
parser.add_argument(
"--dataset_cache_dir",
default=(project_path / "hub_datasets").as_posix(),
type=str
)
parser.add_argument(
"--output_file",
default=(project_path / "data/pawsx_zh.jsonl"),
type=str
)
args = parser.parse_args()
return args
def main():
args = get_args()
dataset_dict = load_dataset(
path=args.dataset_path,
name=args.dataset_name,
cache_dir=args.dataset_cache_dir,
)
print(dataset_dict)
with open(args.output_file, "w", encoding="utf-8") as f:
for split, dataset in dataset_dict.items():
for sample in dataset:
sentence1 = sample["sentence1"]
sentence2 = sample["sentence2"]
label = sample["label"]
label = str(int(label))
if label not in ("0", "1", None):
print(label)
raise AssertionError
row = {
"sentence1": sentence1,
"sentence2": sentence2,
"label": label,
"category": None,
"data_source": "PAWSX-ZH",
"split": split
}
row = json.dumps(row, ensure_ascii=False)
f.write("{}\n".format(row))
return
if __name__ == '__main__':
main()