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