Datasets:
Size Categories:
10K<n<100K
License:
| import pandas as pd | |
| special = [] | |
| df = pd.read_csv('spam_data.csv') | |
| for index, row in df.iterrows(): | |
| text = row['text'] | |
| if text is not None and text != '' and 'Subject: ' in text: | |
| subject = text.split(""" | |
| Subject: """)[1] | |
| if '\n' in subject: | |
| subject = subject.split("\n")[0].strip() | |
| elif '\r' in subject: | |
| subject = subject.split("\r")[0].strip() | |
| else: | |
| raise Exception('No newline found in subject: ' + str(text)) | |
| content = text.split(""" | |
| """)[1:] | |
| content = """ | |
| """.join(content) | |
| text = subject + """ | |
| """ + content | |
| df.at[index, 'text'] = text | |
| else: | |
| special.append({'text': text, 'is_spam': row['is_spam']}) | |
| df.to_csv('spam_data_clean.csv', index=False) | |
| pd.DataFrame(special).to_csv('special.csv', index=False) |