| |
| |
| 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, '../../')) |
|
|
| import pandas as pd |
| from tqdm import tqdm |
|
|
| from project_settings import project_path |
|
|
|
|
| def get_args(): |
| parser = argparse.ArgumentParser() |
|
|
| parser.add_argument("--data_file", default="data/email_spam/lingSpam.csv", type=str) |
|
|
| parser.add_argument( |
| "--output_file", |
| default=(project_path / "data/ling_spam.jsonl"), |
| type=str |
| ) |
| args = parser.parse_args() |
| return args |
|
|
|
|
| def main(): |
| args = get_args() |
|
|
| df = pd.read_csv(args.data_file) |
|
|
| with open(args.output_file, "w", encoding="utf-8") as f: |
| for i, row in tqdm(df.iterrows(), total=len(df)): |
| |
| text = row["Body"] |
| label = row["Label"] |
|
|
| 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": "ling_spam", |
| "split": split |
| } |
| row = json.dumps(row, ensure_ascii=False) |
| f.write("{}\n".format(row)) |
|
|
| return |
|
|
|
|
| if __name__ == '__main__': |
| main() |
|
|
