---
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")
```