datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ikea-us-commercetxt
IKEA US - CommerceTXT Dataset
30,511 IKEA US products in CommerceTXT v1.0.1 format - A token-optimized, human-readable alternative to JSON for e-commerce data.
📊 Dataset Statistics
Metric
Value
Products
30,511
Categories
632
Format
CommerceTXT v1.0.1
Data Date
2025-07-15
Token Savings
24% vs JSON
Tokens Saved
3.6M
🎯 What is CommerceTXT?
CommerceTXT is a lightweight, text-based protocol designed for AI/LLM consumption of… See the full description on the dataset page: https://huggingface.co/datasets/tsazan/ikea-us-commercetxt.E-commerce
E-commerce Dataset (AutoGEO)
This is a commercial-domain dataset released with AutoGEO for Generative Engine Optimization (GEO) research.
📄 Paper: "What Generative Search Engines Like and How to Optimize Web Content Cooperatively"👥 Authors: Yujiang Wu*, Shanshan Zhong*, Yubin Kim, Chenyan Xiong (*Equal contribution)🚀 Code: AutoGEO on GitHub
Dataset Configurations
main: Primary train/test data for GEO training and evaluation (~1.6k train / ~400 test)… See the full description on the dataset page: https://huggingface.co/datasets/cx-cmu/E-commerce.dapurmu-conversational-commerce-10k
🍳 Dapurmu Conversational AI-Commerce (10.499 Dialogs)
Dataset multi-turn conversational e-commerce bergaya pedagang pasar lokal Indonesia ("Kang Dapur") yang dilengkapi dengan fitur:
Tawar-menawar produk segar (margin lebar)
Penolakan sembako margin tipis dan pengalihan bundling
Konsultasi menu resep masakan Nusantara
Cek stok & kesegaran
Pertahanan anti-jailbreak (floor price protection)
Format: ChatML / OpenAI Tool Calling format.
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.wa-commerce-blindspot-eval
West African Micro-Commerce Blind Spot Eval
Author: Israel Olanrewaju Odeajo (israelkingz)Challenge: Fatima Fellowship — Technical Challenge (Blind Spots of Frontier Models)Model under test: Qwen/Qwen2.5-3B-Instruct (~3B open-weight)Scope: A 24-item diagnostic set (not a large-scale benchmark claim) + reproducible GPU eval + qualitative failure analysis
1. The blind spot (lived experience)
Title
Semantic inversion and high-stakes failure modes in… See the full description on the dataset page: https://huggingface.co/datasets/israelkingz/wa-commerce-blindspot-eval.code-commerce
Code de commerce, non-instruct (2025-09-20)
The objective of this project is to provide researchers, professionals and law students with simplified, up-to-date access to all French legal texts, enriched with a wealth of data to facilitate their integration into Community and European projects.
Normally, the data is refreshed daily on all legal codes, and aims to simplify the production of training sets and labeling pipelines for the development of free, open-source language models… See the full description on the dataset page: https://huggingface.co/datasets/louisbrulenaudet/code-commerce.code-pensions-retraite-marins-francais-commerce-peche-plaisance
Code des pensions de retraite des marins français du commerce, de pêche ou de plaisance, non-instruct (2025-03-10)
The objective of this project is to provide researchers, professionals and law students with simplified, up-to-date access to all French legal texts, enriched with a wealth of data to facilitate their integration into Community and European projects.
Normally, the data is refreshed daily on all legal codes, and aims to simplify the production of training sets and… See the full description on the dataset page: https://huggingface.co/datasets/louisbrulenaudet/code-pensions-retraite-marins-francais-commerce-peche-plaisance.