Ecommerce dataset catalog

Find the right data.
Know what comes with it.

Explore 35 open-license and research datasets, benchmarks and data-access projects. Every entry includes content, practical uses, access conditions and a GitHub source.

35 resources

Source documentation reviewed 24 Sep 2026
Catalog & attributes

MAVE

google-research-datasets

Multi-source product attribute extraction annotations built from Amazon product profiles.

Review required

JSONL · External dependencies

Catalog & attributes

WDC Products

wbsg-uni-mannheim

A product entity-matching benchmark for identifying offers that describe the same product.

Review required

Structured records / benchmark splits · External dependencies

Catalog & attributes

WDC PAVE

wbsg-uni-mannheim

Product attribute extraction and normalization resources for turning heterogeneous offer text into consistent fields.

Review required

Processed dataset files · Repository files

Catalog & attributes

OA-Mine

xinyangz

Weakly supervised resources for discovering both attribute types and values in ecommerce product titles.

Review required

Task-specific data files · Repository files

Sessions & recommendations

OTTO Sessions

otto-de

An ecommerce interaction benchmark for predicting what a shopper will click, add to cart, or order next.

Open license stated

JSONL · External dependencies

Sessions & recommendations

Amazon-M2

HaitaoMao

Multilingual shopping sessions and product attributes for next-item recommendation and title generation.

Review required

Session / product benchmark files · Repository / linked release

Reviews & product Q&A

AmazonQA

amazonqa

Product questions paired with answers and relevant review passages for evidence-grounded question answering.

Review required

JSONL · External dependencies

Fashion & product vision

Fashion-MNIST

zalandoresearch

A compact fashion-image classification benchmark suitable for learning and quick model comparisons.

Open license stated

IDX / image arrays · Repository / linked release

Fashion & product vision

FEIDEGGER

zalandoresearch

Fashion photographs paired with multiple German descriptions for multimodal retrieval research.

Review required

Images / text annotations · Repository / linked release

Fashion & product vision

DeepFashion2

switchablenorms

Clothing images with detailed annotations for detection, segmentation and consumer-to-shop retrieval.

Review required

Images / JSON annotations · External dependencies

Fashion & product vision

Fashion-200K

xthan

Fashion product images and descriptions gathered for joint visual and semantic representation learning.

Review required

Images / text labels · External dependencies

Fashion & product vision

Fashion IQ

XiaoxiaoGuo

Relative language feedback and fashion images for interactive product-image retrieval.

Review required

Images / feedback / features · External dependencies

Fashion & product vision

Retail786K

retail786k

Product imagery from retail advertising leaflets for matching visually similar commercial offers.

Restricted use

Images / metadata · External dependencies

Fashion & product vision

SKU-110K

eg4000

Densely packed retail shelf images for detecting and counting products in challenging scenes.

Restricted use

Images / box annotations · External dependencies

Fashion & product vision

MEP-3M

ChenDelong1999

A large multimodal ecommerce product benchmark joining product imagery with Chinese text and category labels.

Restricted use

Images / text / labels · External dependencies

Pricing, promotions & demand

M5 Forecasting

Mcompetitions

Competition resources for studying retail demand forecasting with sales, calendar and price information.

Review required

CSV / competition resources · External dependencies

Shopping AI benchmarks

Shopping MMLU

KL4805

A multitask benchmark for language models across shopping knowledge, reasoning, behavior and languages.

Review required

CSV / JSON · Repository / linked release

Shopping AI benchmarks

WebShop

princeton-nlp

A simulated shopping environment with products and human instructions for training and evaluating web agents.

Review required

JSON / JSONL / environment assets · External dependencies

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