README.md

Amazon Product Hierarchy Dataset

This dataset contains Amazon product hierarchical relationships for training hierarchy-aware transformers.

Dataset Structure

The dataset contains three splits:

• Train: 3 examples
• Validation: 3 examples
• Test: 3 examples

Each example contains:

• child: Text description of a product
• parent: Text description of the product's category
• negative: Text description of a negative (non-parent) category

Usage

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("Jinrui/amazon-product-hierarchy")

# Example usage
example = dataset['train'][0]
print(f"Child: {example['child']}")
print(f"Parent: {example['parent']}")
print(f"Negative: {example['negative']}")

Dataset Creation

This dataset was created by processing Amazon Beauty product metadata and reviews, extracting product categories and their hierarchical relationships.