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import argparse |
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from collections import defaultdict |
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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 random |
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import re |
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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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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_file", default="data/sms_spam_collection/spam.csv", type=str) |
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parser.add_argument( |
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"--output_file", |
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default=(project_path / "data/sms_spam_collection.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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df = pd.read_csv(args.data_file) |
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with open(args.output_file, "w", encoding="utf-8") as f: |
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for i, row in tqdm(df.iterrows(), total=len(df)): |
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text = row["Message"] |
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label = row["Category"] |
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if label not in ("spam", "ham"): |
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raise AssertionError |
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num = random.random() |
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if num < 0.9: |
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split = "train" |
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elif num < 0.95: |
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split = "validation" |
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else: |
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split = "test" |
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row = { |
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"text": text, |
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"label": label, |
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"category": None, |
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"data_source": "sms_spam_collection", |
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"split": split |
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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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