LuminaAI/RCL-Ecommerce-Product-Descriptions

Ecommerce Product Descriptions Dataset

Overview

This dataset contains product descriptions for various ecommerce products. Each sample is stored in a separate text file, with features space-separated on a single line. The dataset is structured to be compatible with Lumina AI's Random Contrast Learning (RCL) algorithm via the PrismRCL application or API.

Dataset Structure

The dataset is organized into the following structure:

Ecommerce_Product_Descriptions/ train_data/ category_1/ sample_0.txt sample_1.txt ... category_2/ sample_0.txt sample_1.txt ... test_data/ category_1/ sample_0.txt sample_1.txt ... category_2/ sample_0.txt sample_1.txt ...

Note: All text file names must be unique across all category folders.

Features

• Tabular Data: Each text file contains space-separated values representing the features of a sample.
• Categories: There are multiple categories, each represented by a separate folder based on the type of product.

Usage (not pre-split; optimal parameters)

Here is an example of how to load the dataset using PrismRCL:

C:\PrismRCL\PrismRCL.exe chisquared rclticks=65 boxdown=8 channelpick=5 data=C:\path\to\Ecommerce_Product_Descriptions_mm testsize=0.1 savemodel=C:\path\to\models\mymodel.classify log=C:\path\to\log_files stopwhendone

Explanation of Command:

• C:\PrismRCL\PrismRCL.exe: Path to the PrismRCL executable for classification
• chisquared: Specifies Chi-squared as the training evaluation method
• rclticks=65: Sets the number of RCL iterations during training to 65
• boxdown=8: Configuration parameter for training behavior
• channelpick=5: RCL training parameter
• data=C:\path\to\Ecommerce_Product_Descriptions_mm: Path to the complete dataset for Ecommerce Product Descriptions classification
• testsize=0.1: Specifies that 10% of the data should be used for testing
• savemodel=C:\path\to\models\mymodel.classify: Path to save the resulting trained model
• log=C:\path\to\log_files: Directory path for storing log files of the training process
• stopwhendone: Instructs PrismRCL to end the session once training is complete

License

This dataset is licensed under the Creative Commons Attribution 4.0 International License. See the LICENSE file for more details.

Original Source

This dataset was originally sourced from the Kaggle Dataset Repository. Please cite the original source if you use this dataset in your research or applications.

Additional Information

The data values have been prepared to ensure compatibility with PrismRCL. No normalization is required as of version 2.4.0.