product-description
amazon-product-descriptions-vlm
Amazon Multimodal Product dataset
This is a modfied and slim verison of bprateek/amazon_product_description helpful to get started training multimodal LLMs.
The description field was generated used Gemini Flash.
amazon_product_descriptionProduct-Descriptions-and-Ads
Synthetic Dataset for Product Descriptions and Ads
The basic process was as follows:
Prompt GPT-4 to create a list of 100 sample clothing items and descriptions for those items.
Split the output into desired format `{"product" : "", "description" : ""}
Prompt GPT-4 to create adverts for each of the 100 samples based on their name and description.
This data was not cleaned or verified manually.
Consumer-Product-Descriptions-50kProduct-Descriptions-and-Ads
Synthetic Dataset for Product Descriptions and Ads
The basic process was as follows:
Prompt GPT-4 to create a list of 100 sample clothing items and descriptions for those items.
Split the output into desired format `{"product" : "", "description" : ""}
Prompt GPT-4 to create adverts for each of the 100 samples based on their name and description.
This data was not cleaned or verified manually.
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.
Dataset Structure
The dataset is organized into the following structure:
Ecommerce_Product_Descriptions/… See the full description on the dataset page: https://huggingface.co/datasets/LuminaAI/RCL-Ecommerce-Product-Descriptions.