---
dataset_info:
  features:
  - name: Prospect ID
    dtype: string
  - name: Lead Origin
    dtype: string
  - name: Lead Source
    dtype: string
  - name: Last Activity
    dtype: string
  - name: Tags
    dtype: string
  - name: What is your current occupation
    dtype: string
  - name: Converted
    dtype: int64
  splits:
  - name: train
    num_bytes: 79551
    num_examples: 568
  - name: valid
    num_bytes: 359736
    num_examples: 2559
  - name: test
    num_bytes: 360809
    num_examples: 2561
  download_size: 241530
  dataset_size: 800096
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: valid
    path: data/valid-*
  - split: test
    path: data/test-*
---
# Lead Scoring Dataset

## Overview

This dataset contains lead scoring data for X Education, a company that provides online courses. The dataset is designed for binary classification to predict whether a lead will convert to a customer using an LLM.

- **Source**: [Kaggle - Lead Scoring Dataset](https://www.kaggle.com/datasets/amritachatterjee09/lead-scoring-dataset)
- **Target Variable**: `Converted` (0 = Not Converted, 1 = Converted)

## Features

The processed dataset includes the following 7 key features:

1. **Prospect ID** - Unique identifier for each lead
2. **Lead Origin** - How the lead was generated (API, Landing Page Submission, etc.)
3. **Lead Source** - Specific source of the lead (Google, Direct Traffic, Organic Search, etc.)
4. **Last Activity** - Most recent interaction (Email Opened, Page Visited, etc.)
5. **Tags** - Lead categorization tags (Ringing, Will revert after reading email, etc.)
6. **What is your current occupation** - Lead's current job status (Student, Unemployed, etc.)
7. **Converted** - Target variable indicating conversion (0/1)

## Usage

The processed dataset is available on Hugging Face Hub at: `shawhin/lead-scoring-x`

```python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("shawhin/lead-scoring-x")

# Access train, validation, and test splits
train_data = dataset['train']
valid_data = dataset['valid'] 
test_data = dataset['test']
```

## License

Please refer to the [original Kaggle dataset](https://www.kaggle.com/datasets/amritachatterjee09/lead-scoring-dataset) license for usage terms.