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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
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/covid_19", type=str)
parser.add_argument(
"--output_file",
default=(project_path / "data/covid_19.jsonl"),
type=str
)
args = parser.parse_args()
return args
def main():
args = get_args()
data_dir = Path(args.data_dir)
train_filename = data_dir / "COVID-19/data/Dataset/train_20200228.csv"
valid_filename = data_dir / "COVID-19/data/Dataset/dev_20200228.csv"
df_train = pd.read_csv(train_filename)
df_valid = pd.read_csv(valid_filename)
with open(args.output_file, "w", encoding="utf-8") as f:
for i, row in df_train.iterrows():
category = row["category"]
query1 = row["query1"]
query2 = row["query2"]
label = row["label"]
label = str(int(label)) if label is not None else None
if label not in ("0", "1", None):
raise AssertionError
row = {
"sentence1": query1,
"sentence2": query2,
"label": label,
"category": category,
"data_source": "COVID-19",
"split": "train"
}
row = json.dumps(row, ensure_ascii=False)
f.write("{}\n".format(row))
for i, row in df_valid.iterrows():
category = row["category"]
query1 = row["query1"]
query2 = row["query2"]
label = row["label"]
label = str(int(label)) if label is not None else None
if label not in ("0", "1", None):
raise AssertionError
row = {
"sentence1": query1,
"sentence2": query2,
"label": label,
"category": category,
"data_source": "COVID-19",
"split": "validation"
}
row = json.dumps(row, ensure_ascii=False)
f.write("{}\n".format(row))
return
if __name__ == '__main__':
main()
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