#!/usr/bin/python3 # -*- coding: utf-8 -*- import argparse import json import os from pathlib import Path import sys pwd = os.path.abspath(os.path.dirname(__file__)) sys.path.append(os.path.join(pwd, '../../')) from datasets import load_dataset from lxml import etree import pandas as pd from tqdm import tqdm from project_settings import project_path def get_args(): parser = argparse.ArgumentParser() parser.add_argument("--data_dir", default="./data/diac2019", type=str) parser.add_argument( "--output_file", default=(project_path / "data/diac2019.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 f: # train_set.xml filename = data_dir / "train_set.xml" tree = etree.parse(filename.as_posix()) root = tree.getroot() for group in root: equal = group[0] not_equal = group[1] equal_questions = [question.text for question in equal] not_equal_questions = [question.text for question in not_equal] pairs = set() for q1 in equal_questions: for q2 in equal_questions: if q1 == q2: continue pair = (q1, q2, 1) pairs.add(pair) for q1 in equal_questions: for q2 in not_equal_questions: if q1 == q2: continue pair = (q1, q2, 0) pairs.add(pair) for pair in pairs: q1, q2, label = pair label = str(label) if label not in ("0", "1", None): raise AssertionError json_row = { "sentence1": q1, "sentence2": q2, "label": label, "data_source": "diac2019", "split": "train" } json_row = json.dumps(json_row, ensure_ascii=False) f.write("{}\n".format(json_row)) # dev_set.csv filename = data_dir / "dev_set.csv" df = pd.read_csv(filename.as_posix(), delimiter="\t") for i, row in df.iterrows(): question1 = row["question1"] question2 = row["question2"] json_row = { "sentence1": question1, "sentence2": question2, "score": "1", "data_source": "diac2019", "split": "validation" } json_row = json.dumps(json_row, ensure_ascii=False) f.write("{}\n".format(json_row)) # test_set.csv filename = data_dir / "test_set.csv" df = pd.read_csv(filename.as_posix(), delimiter="\t") for i, row in df.iterrows(): question1 = row["question1"] question2 = row["question2"] json_row = { "sentence1": question1, "sentence2": question2, "score": None, "data_source": "diac2019", "split": "test" } json_row = json.dumps(json_row, ensure_ascii=False) f.write("{}\n".format(json_row)) return if __name__ == '__main__': main()