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#!/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()
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