datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
product-database
Open Food Facts Database
What is 🍊 Open Food Facts?
A food products database
Open Food Facts is a database of food products with ingredients, allergens, nutrition facts and all the tidbits of information we can find on product labels.
Made by everyone
Open Food Facts is a non-profit association of volunteers. 25.000+ contributors like you have added 1.7 million + products from 150 countries using our Android or iPhone app or their… See the full description on the dataset page: https://huggingface.co/datasets/openfoodfacts/product-database.Taobao-ProductsAdsDBgrob-products-updated
bep40/grob-products-updated
Generated by ML Intern
This dataset repository was generated by ML Intern, an agent for machine learning research and development on the Hugging Face Hub.
Try ML Intern: https://smolagents-ml-intern.hf.space
Source code: https://github.com/huggingface/ml-intern
Usage
from datasets import load_dataset
dataset = load_dataset('bep40/grob-products-updated')
xlam-function-calling-60k-raw
XLAM Function Calling 60k Raw Dataset
This dataset includes train and test splits derived from Salesforce/xlam-function-calling-60k.
Train split size: 95% of the original dataset
Test split size: 5% of the original dataset
retail-products-philippinestlott-digital-products
T. Lott Digital Products
Digital product files for T. Lott's online store.
Products
Audiobooks (MP3)
eBooks (PDF)
Software (ZIP)
Cover images (PNG)
Download URLs
Files can be downloaded directly:
https://huggingface.co/datasets/ziggylott/tlott-digital-products/resolve/main/{filepath}
ean-product-dataset
EAN product dataset
Barcode to product name, description, product image, retailer and safety
data sheet link, harvested from Danish web shops. Product text is in Danish.
from datasets import load_dataset
p = load_dataset("EAN-data/ean-product-dataset", "products")["train"]
b = load_dataset("EAN-data/ean-product-dataset", "images")["train"]
b[0]["image"] # a PIL image, not a URL
About the images
The images are stored as bytes under images/, not as links. A… See the full description on the dataset page: https://huggingface.co/datasets/EAN-data/ean-product-dataset.product-photography-v1-tiny-prompts-tasks-collage-filteredstanford-products-imagesdata-product-benchmark
DPDisc Dataset
Paper | Code
Dataset Description
This dataset provides a benchmark for automatic data product creation. The task is framed as follows: given a natural language data product request and a corpus of text and tables, the objective is to identify the relevant tables and text documents that should be included in the resulting data product which would useful to the given data product request. The benchmark brings together three variants: HybridQA, TAT-QA, and… See the full description on the dataset page: https://huggingface.co/datasets/ibm-research/data-product-benchmark.zalo-products-all
Zalo Product Data - Main Dataset
Dữ liệu sản phẩm thu thập từ Zalo bot.
Schema
Column
Type
Description
product_name
string
Tên sản phẩm
description
string
Nội dung mô tả
price
string
Giá sản phẩm
category
string
Chuyên mục
technical_specs
string
Thông số kỹ thuật
sender_id
string
ID người gửi
sender_name
string
Tên người gửi
chat_id
string
ID chat
timestamp
string
Thời gian ghi nhận
image
string
Đường link ảnh
text
string
Nội dung… See the full description on the dataset page: https://huggingface.co/datasets/bep40/zalo-products-all.Products-Catalogfashion-product-images-small
Dataset Card for "fashion-product-images-small"
More Information needed
Data was obtained from here
products10k-traintest-v1cbi-released-products
Cosmic Background Imager released products
This repository contains the numerical products released for four generations of Cosmic Background Imager (CBI) analysis: the 2000 deep fields, the 2000 mosaic fields, the final 2002–2005 temperature and polarization analysis, and the final 2000–2005 total-intensity analysis. It contains the published band powers, their window functions, the same-band correlation blocks and full Fisher matrices distributed in CosmoMC .newdat files, and… See the full description on the dataset page: https://huggingface.co/datasets/astro-legacy-archive/cbi-released-products.product-catalogue
The Catalogue: Product Taxonomy Classification Benchmark
A large-scale, multimodal benchmark dataset for product taxonomy classification, featuring real e-commerce products with images, descriptions, and hierarchical category labels.
Dataset Description
The Catalogue is a benchmark dataset designed to evaluate AI models on the task of classifying products into a standardized taxonomy. Each sample includes a product image, title, description, brand, and the… See the full description on the dataset page: https://huggingface.co/datasets/Shopify/product-catalogue.AMAZON-Products-2023
Dataset Card for Amazon Products 2023
Dataset Summary
This dataset contains product metadata from Amazon, filtered to include only products that became available in 2023. The dataset is intended for use in semantic search applications and includes a variety of product categories.
Number of Rows: 117,243
Number of Columns: 15
Data Source
The data is sourced from Amazon Reviews 2023.
It includes product information across multiple categories, with… See the full description on the dataset page: https://huggingface.co/datasets/milistu/AMAZON-Products-2023.MSI_productsMemoryArena-product-dbproduct-masks-sample
nfinite-product-masks-sample
Version of the release: 1.0.0-alphaRelease date: 2025/08/30
Dataset Summary
The nfinite-product-masks-sample dataset is a dataset of images from 3D models for objects usually found in the home & living room space.
Each image has been rendered photo-realistically from 3D models.Those 3D models are generic models, from any IP (as explained in the Personal and Sensitive Information part, any resemblance to an object from real life is purely… See the full description on the dataset page: https://huggingface.co/datasets/Nfiniteai/product-masks-sample.msam-released-products
MSAM released flight products
This dataset contains the complete numeric contents of the three MSAM1 flight
archives served by LAMBDA: the June 1992, June 1994, and June 1995 observation
tables, sampled beam maps, and released 1994/1995 covariance matrices. The 38
configuration identifiers preserve the flight directory and source filename
stem.
How to use
python -m venv .venv && .venv/bin/pip install datasets huggingface_hub pyarrow
from datasets import… See the full description on the dataset page: https://huggingface.co/datasets/astro-legacy-archive/msam-released-products.AgiBotWorld-Beta_G1_task_505_Classification_of_Maternal_and_Child_Products
agibot_task_505
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 分类母婴用品
total_episodes: 1366
total_tasks: 1
size: 81G
Dataset Structure
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── chunk-xxx
│ │ └── file-xxx.parquet
│ ├── info.json
│ ├── stats.json
│ └── tasks.parquet
└── videos
├── observation.images.back_left_fisheye… See the full description on the dataset page: https://huggingface.co/datasets/BAAI-DataCube/AgiBotWorld-Beta_G1_task_505_Classification_of_Maternal_and_Child_Products.amazon_productsvsa-released-products
VSA February 2004 released products
This dataset contains LAMBDA's February 2004 VSA spectrum, x factors,
16 window functions, and Hessian product. LAMBDA serves the Hessian as 256
lines with one numeric value per line; its documentation identifies those
values as the 16×16 M_ij, but does not state how flat positions map to
matrix indices. Unlabelled source columns remain Column 1, Column 2, and
so on.
Use
python -m venv .venv && .venv/bin/pip install datasets… See the full description on the dataset page: https://huggingface.co/datasets/astro-legacy-archive/vsa-released-products.lamoda-fashion-product-images
High-Resolution Fashion Product Images
This dataset is a highly optimized, high-resolution subset of the popular Fashion Product Images Dataset originally hosted on Kaggle.
It contains thousands of unique e-commerce fashion products, combining high-resolution product images with multiple descriptive label attributes.
All low-resolution thumbnails and anomalies have been aggressively filtered out. Every image in this dataset has a minimum resolution of 640px on its shortest… See the full description on the dataset page: https://huggingface.co/datasets/PestoRosso/lamoda-fashion-product-images.amz-product-title-emb
Embedding on Product Title
This was using gemini embedding text-embedding-005 to embed this product title dataset. Mostly using batch job.
Each embedding vector has 768 fp16 floats. (usually discount original fp32 to fp16 for gemini embedding model can put little damage on accuracy)
You can stream this dataset, so having fast boost start on training script.
STARCOP-fast-products
Paper
Overview
This repository hosts curated data products used for evaluation and training in the article
"Optimizing Methane Detection Onboard Satellites: Speed, Accuracy, and Low-Power Solutions for Resource-Constrained Hardware."
The dataset consists exclusively of products generated from 72 hyperspectral channels within the wavelength range of 2122–2488 nm. These products served as the training data for the models available here.
The original raw… See the full description on the dataset page: https://huggingface.co/datasets/onboard-coop/STARCOP-fast-products.visual-product-catalogueretail-product-checkout
Retail Product Checkout (RPC) Dataset
Overview
This repository provides a Hugging Face–compatible distribution of the
Retail Product Checkout (RPC) dataset, originally introduced by
Wei et al. for research on automatic checkout and fine-grained retail
product recognition.
This dataset was not created or collected by the maintainer of this
repository. All credit for data collection, annotation, and dataset
design belongs to the original authors.
Original… See the full description on the dataset page: https://huggingface.co/datasets/benjamintli/retail-product-checkout.xlam-function-calling-60k-raw-augmented
XLAM Function Calling 60k Raw Augmented Dataset
This dataset includes augmented train and test splits derived from product-science/xlam-function-calling-60k-raw.
Train split size: Original size plus augmented data
Test split size: Original size plus augmented data
Augmentation Details
This dataset has been augmented by modifying function names in the original data. Randomly selected function names have underscores replaced with periods at random positions… See the full description on the dataset page: https://huggingface.co/datasets/product-science/xlam-function-calling-60k-raw-augmented.