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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
- Target Variable:
Converted(0 = Not Converted, 1 = Converted)
Features
The processed dataset includes the following 7 key features:
- Prospect ID - Unique identifier for each lead
- Lead Origin - How the lead was generated (API, Landing Page Submission, etc.)
- Lead Source - Specific source of the lead (Google, Direct Traffic, Organic Search, etc.)
- Last Activity - Most recent interaction (Email Opened, Page Visited, etc.)
- Tags - Lead categorization tags (Ringing, Will revert after reading email, etc.)
- What is your current occupation - Lead's current job status (Student, Unemployed, etc.)
- Converted - Target variable indicating conversion (0/1)
Usage
The processed dataset is available on Hugging Face Hub at: shawhin/lead-scoring-x
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 license for usage terms.
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