README.md

metadata

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
• 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

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.