Download examples/preprocess/process_spam_message.py from intelli-zen/spam_detect: direct link, hf CLI and curl.
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https://huggingface.co/datasets/intelli-zen/spam_detect/resolve/main/examples/preprocess/process_spam_message.py
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hf download hf://datasets/intelli-zen/spam_detect/examples/preprocess/process_spam_message.py
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1.95 kB
| #!/usr/bin/python3 | |
| # -*- coding: utf-8 -*- | |
| import argparse | |
| from collections import defaultdict | |
| import json | |
| import os | |
| from pathlib import Path | |
| import random | |
| import re | |
| import sys | |
| pwd = os.path.abspath(os.path.dirname(__file__)) | |
| sys.path.append(os.path.join(pwd, '../../')) | |
| from datasets import load_dataset | |
| from tqdm import tqdm | |
| from project_settings import project_path | |
| def get_args(): | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--data_file", default="data/spam_message/带标签短信.txt", type=str) | |
| parser.add_argument( | |
| "--output_file", | |
| default=(project_path / "data/spam_message.jsonl"), | |
| type=str | |
| ) | |
| args = parser.parse_args() | |
| return args | |
| def main(): | |
| args = get_args() | |
| with open(args.output_file, "w", encoding="utf-8") as fout: | |
| with open(args.data_file, "r", encoding="utf-8") as fin: | |
| for row in fin: | |
| row = str(row).rstrip("\n") | |
| row = row.split("\t", maxsplit=1) | |
| if len(row) != 2: | |
| print(row) | |
| raise AssertionError | |
| label = row[0] | |
| text = row[1] | |
| label = "spam" if label == "1" else "ham" | |
| if label not in ("spam", "ham"): | |
| raise AssertionError | |
| num = random.random() | |
| if num < 0.9: | |
| split = "train" | |
| elif num < 0.95: | |
| split = "validation" | |
| else: | |
| split = "test" | |
| row = { | |
| "text": text, | |
| "label": label, | |
| "category": None, | |
| "data_source": "spam_message", | |
| "split": split | |
| } | |
| row = json.dumps(row, ensure_ascii=False) | |
| fout.write("{}\n".format(row)) | |
| return | |
| if __name__ == '__main__': | |
| main() | |