datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ai-generated-ecommerce-images
AI-Generated E-Commerce Images
Overview
This dataset contains 6,031 AI-generated images depicting common e-commerce
after-sales scenarios across 12 categories. The dataset also ships with
companion annotations (annotations_ai.jsonl) describing each image in
chat-completion format.
Dataset Structure
Category
Description
damaged_electronics
Damaged electronics (keyboards, laptops, headphones, etc.)
damaged_phone_screen
Smartphones with cracked or… See the full description on the dataset page: https://huggingface.co/datasets/prajwalkothwal/ai-generated-ecommerce-images.ai-generated-ecommerce-images
AI-Generated E-Commerce Images
Overview
This dataset contains 6,031 AI-generated images depicting common e-commerce
after-sales scenarios across 12 categories. The dataset also ships with
companion annotations (annotations_ai.jsonl) describing each image in
chat-completion format.
Dataset Structure
Category
Description
damaged_electronics
Damaged electronics (keyboards, laptops, headphones, etc.)
damaged_phone_screen
Smartphones with cracked or… See the full description on the dataset page: https://huggingface.co/datasets/JoyCN/ai-generated-ecommerce-images.hm_ecommerce_products
H&M Personalized Fashion Recommendations - Enhanced Dataset
Dataset Description
This dataset is a processed and enhanced version of the H&M Personalized Fashion Recommendations Kaggle competition dataset. The original dataset has been cleaned and augmented with pre-computed embeddings and accessible image URLs to facilitate fashion recommendation research and multimodal retrieval applications.
Dataset Summary
The H&M dataset contains rich product metadata… See the full description on the dataset page: https://huggingface.co/datasets/Qdrant/hm_ecommerce_products.ai-generated-ecommerce-images
AI-Generated E-Commerce Images
Overview
This dataset contains 6,031 AI-generated images depicting common e-commerce
after-sales scenarios across 12 categories. The dataset also ships with
companion annotations (annotations_ai.jsonl) describing each image in
chat-completion format.
Dataset Structure
Category
Description
damaged_electronics
Damaged electronics (keyboards, laptops, headphones, etc.)
damaged_phone_screen
Smartphones with… See the full description on the dataset page: https://huggingface.co/datasets/rk34th/ai-generated-ecommerce-images.MM-Bench-E-CommerceThis is the HuggingFace repository of the paper named MOON: Generative MLLM-based Multimodal Representation Learning for E-commerce Product Understanding in WSDM 2026 (oral).
In this paper, we argue that generative Multimodal Large Language Models (MLLMs) hold significant potential for improving product representation learning.
We propose the first generative MLLM-based model named MOON for product representation learning.
Furthermore, we contruct and publish a large-scale real-world… See the full description on the dataset page: https://huggingface.co/datasets/Daoze/MM-Bench-E-Commerce.