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---
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.
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