Datasets:
| dataset_info: | |
| features: | |
| - name: label | |
| dtype: int64 | |
| - name: text | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 1452847 | |
| num_examples: 1000 | |
| - name: validation | |
| num_bytes: 1685310 | |
| num_examples: 1000 | |
| download_size: 1637839 | |
| dataset_size: 3138157 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| - split: validation | |
| path: data/validation-* | |
| task_categories: | |
| - text-classification | |
| # Dataset Card for Dataset Name | |
| <!-- Provide a quick summary of the dataset. --> | |
| This dataset is a condensed subset derived from the SetFit/enron_spam dataset. It comprises two primary columns: 'Text' and 'Label'. The dataset contains 1000 samples for training and 1000 samples for testing, making it suitable for binary text classification tasks. | |
| ## Dataset Details | |
| ### Columns | |
| - **Text:** Represents the content of an email. | |
| - **Label:** Indicates whether the email is categorized as 'spam' or 'ham' (non-spam). | |
| ### Dataset Sources | |
| - **Repository:** https://huggingface.co./datasets/SetFit/enron_spam | |
| ## Uses | |
| ### Direct Use | |
| ``` | |
| from datasets import load_dataset | |
| spam_dataset = load_dataset("likhith231/enron_spam_small") | |
| ``` |