datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
coyo-labeled-300m
Dataset Card for COYO-Labeled-300M
Dataset Summary
COYO-Labeled-300M is a dataset of machine-labeled 300M images-multi-label pairs. We labeled subset of COYO-700M with a large model (efficientnetv2-xl) trained on imagenet-21k. We followed the same evaluation pipeline as in efficientnet-v2. The labels are top 50 most likely labels out of 21,841 classes from imagenet-21k. The label probabilies are provided rather than label so that the user can select threshold of their… See the full description on the dataset page: https://huggingface.co/datasets/kakaobrain/coyo-labeled-300m.house_kg_full_dataset
house.kg — Kyrgyzstan Real Estate (multimodal)
A complete snapshot of house.kg, the largest real-estate
board in Kyrgyzstan: every sale and rental listing, with coordinates, prices, seller
identities, agency ratings, reviews — and 227,294 photographs.
Field names are English; values are kept in the original language (Russian/Kyrgyz),
exactly as the site renders them.
💻 Scraper source code on GitHub →
The complete, open scraper that produced this dataset —… See the full description on the dataset page: https://huggingface.co/datasets/aiacademy-kg/house_kg_full_dataset.hardness_data_mix
Hardness Data Mix - Resolution Sufficiency Dataset
A large-scale dataset of document images with labels indicating the minimum resolution required to accurately answer questions about those documents.
Dataset Description
This dataset contains 81,924 document image-question pairs labeled with resolution sufficiency information. Each sample is annotated with a "hardness" label indicating the minimum resolution level needed to answer questions about that document accurately.… See the full description on the dataset page: https://huggingface.co/datasets/Kimhi/hardness_data_mix.lalafo-kg-cars
lalafo.kg — Kyrgyzstan Cars (used-car market)
Scraped from lalafo.kg, the largest informal classifieds
board in Kyrgyzstan — messier and larger than the curated boards, and closer to the
real street-level market. Field names are English; values are kept in the original
language (Russian).
Subsets
subset
rows
description
listings
54,518
one row per advertisement (every category, deal and region in scope)
users
49,685
sellers (ad authors), with… See the full description on the dataset page: https://huggingface.co/datasets/aiacademy-kg/lalafo-kg-cars.lalafo-kg-phones
lalafo.kg — Kyrgyzstan Mobile Phones (handsets for sale)
Scraped from lalafo.kg, the largest informal classifieds
board in Kyrgyzstan — messier and larger than the curated boards, and closer to the
real street-level market. Field names are English; values are kept in the original
language (Russian).
Subsets
subset
rows
description
listings
8,160
one row per advertisement (every category, deal and region in scope)
users
6,605
sellers (ad authors), with… See the full description on the dataset page: https://huggingface.co/datasets/aiacademy-kg/lalafo-kg-phones.danbooru2023-metadata-database
Metadata Database for Danbooru2023
Danbooru 2023 datasets: https://huggingface.co/datasets/nyanko7/danbooru2023
The latest entry of this database is id 7,866,491. Which is newer than nyanko7's dataset.
This dataset contains a sqlite db file which have all the tags and posts metadata in it.
The Peewee ORM config file is provided too, plz check it for more information. (Especially on how I link posts and tags together)
The original data is from the official dump of the posts info.… See the full description on the dataset page: https://huggingface.co/datasets/KBlueLeaf/danbooru2023-metadata-database.house_kg_full_dataset_frames
house.kg — Kyrgyzstan Real Estate, over time
Sale and rental listings scraped from house.kg, the largest
real-estate board in Kyrgyzstan, re-measured on a schedule. Field names are
English; values are kept in the original language (Russian), exactly as the site
renders them.
Coverage: 2026-09-08. This is the baseline snapshot; later runs append new partitions.
Subsets
subset
rows
description
listings
25,264
one row per advertisement — current state plus… See the full description on the dataset page: https://huggingface.co/datasets/aiacademy-kg/house_kg_full_dataset_frames.kamari-safe-open-v0
Kámárí-Safe Open v0 (benchmark)
A frozen, leakage-free benchmark for African-tailored age verification. It holds manifests and
split tables, not raw images (paths, hashes, labels, skin band, quality). Use it to measure age
accuracy and, more importantly, child-safety.
Headline metric
Minor-Pass-Through Rate (MPTR) is the headline: the fraction of true minors a model passes as
adults, reported overall, at 21, and for dark + brown skin. Report MPTR alongside MAE; a… See the full description on the dataset page: https://huggingface.co/datasets/Shinzmann/kamari-safe-open-v0.stl10-c
STL-10-C
A corrupted variant of the STL-10 test split, generated for controlled mixed-batch OOD experiments.
Dataset Description
600,000 corrupted images produced by applying imagecorruptions to STL-10's 8,000-image test split across 15 corruption types and 5 severity levels.
Each record contains:
image: PNG bytes
label: integer class label (0–9)
corruption_name: corruption type (e.g. gaussian_noise)
corruption_level: severity (1–5)
Intended Use… See the full description on the dataset page: https://huggingface.co/datasets/Kipardox/stl10-c.footwork-detection-keypoints
Footwork Detection Keypoints Dataset
Dataset Description
This dataset was created from scratch for research and development in automated footwork detection and tactical analysis using computer vision and machine learning.
Unlike datasets collected from existing public benchmarks, this dataset was specifically constructed and organized by the authors for the footwork detection task.
Dataset Creation
The dataset was collected, processed, and annotated… See the full description on the dataset page: https://huggingface.co/datasets/Pranathi196/footwork-detection-keypoints.kbl-open-images
Royal Danish Library Open COP Images
This dataset is an independently harvested research dataset from the Royal Danish Library
(Det Kgl. Bibliotek) COP/Digital Collections API.
The export intentionally excludes:
aerial photographs / Danmark set fra luften
newspapers, including Danske aviser 1666-1883
text-heavy COP editions such as books, letters, manuscripts, pamphlets, catalogues and printed matter
Included COP editions:
Billeder
Kort og Atlas as a separate… See the full description on the dataset page: https://huggingface.co/datasets/V4ldeLund/kbl-open-images.PokeFA-pokemon-fanart-captioned
PokeFA — Pokémon fan-art metadata with relevance/aesthetic scores and hybrid captions
PokeFA is a large-scale Pokémon fan-art dataset released as metadata + URLs only (no image bytes).~30,000 candidate images are collected across 1,025 Pokémon using a popularity-banded budget with following curation pipeline:
NSFW filtering → OCR localization & inpainting → resizing → relevance & aesthetic scoring (GPT-5-mini vision) → near-duplicate removal → quality filtering to the top ~16… See the full description on the dataset page: https://huggingface.co/datasets/Kev0208/PokeFA-pokemon-fanart-captioned.Bottega.Veneta.Product.prices.South.Korea
Bottega Veneta web scraped data
About the website
Bottega Veneta operates in the luxury fashion industry in Asia Pacific, where numerous high-end brands engage in fierce competition to capture the attention and spending capabilities of affluent consumers. In particular, South Korea stands as a notable hub for luxury fashion, underpinned by growing economic affluence, sophisticated consumers, and the cultural wave commonly referred to as the "Hallyu Wave". The market is… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Bottega.Veneta.Product.prices.South.Korea.Prada.Product.prices.Hong.Kong
Prada web scraped data
About the website
Prada operates in the high-end fashion industry in the Asia Pacific region, particularly in Hong Kong. This industry in Asia Pacific is notable for its rapid growth and great potential due to increasing income level and changing consumption behavior. Hong Kong is a prominent hub for luxury retail markets, which gives Prada a strategic advantage. With the rise of advanced technology and increasing use of digital platforms in this… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Prada.Product.prices.Hong.Kong.Farfetch.Product.prices.South.Korea
Farfetch web scraped data
About the website
The Ecommerce industry in the Asia Pacific region, particularly in South Korea, has seen dramatic growth over the recent years. Known for its tech-savvy population and high internet penetration, South Korea is considered as one of the world’s largest and most mature Ecommerce markets. The dataset observed sheds light on the Ecommerce Product-List Page (PLP) data on Farfetch in South Korea. The company operates within the luxury… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Farfetch.Product.prices.South.Korea.Balenciaga.Product.prices.Hong.Kong
Balenciaga web scraped data
About the website
Balenciaga operates within the luxury fashion industry in the Asia Pacific region, specifically in Hong Kong, which is known for its strong demand for high-end fashion. As part of the global trend, the industry has shifted towards Ecommerce, which has been growing significantly in the past few years. The dataset observed includes Ecommerce product-list page (PLP) data on Balenciaga in Hong Kong, providing valuable insights… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Balenciaga.Product.prices.Hong.Kong.Farfetch.Product.prices.United.Kingdom
Farfetch web scraped data
About the website
Farfetch operates in the dynamic and rapidly evolving E-commerce industry in the EMEA, particularly in the United Kingdom. This sector is marked by intense digital transformation with a growing shift towards online shopping. Notably, the fashion and lifestyle segment of e-commerce is witnessing massive growth. The UK E-commerce sector is marked by high internet penetration rates, favourable consumer attitudes, and advances in… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Farfetch.Product.prices.United.Kingdom.Louis.Vuitton.Product.prices.United.Kingdom
Louis Vuitton web scraped data
About the website
Louis Vuitton operates within the luxury fashion industry in the EMEA region, particularly in the United Kingdom. This industry is characterised by high-end products ranging from clothing, accessories to leather goods. It is mainly driven by factors such as brand identity, quality of products, and latest fashion trends. With the rise of digitalisation, an significant portion of sales in this industry shifted to E-commerce… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Louis.Vuitton.Product.prices.United.Kingdom.Net.a.Porter.Product.prices.United.Kingdom
Net-a-Porter web scraped data
About the website
Net-a-Porter operates in the highly competitive e-commerce industry in EMEA, particularly in the United Kingdom. This vibrant industry is characterized by a dynamic digital environment encompassing various segments, notably fashion, luxury goods, and retail. These segments continue to witness significant growth, driven by advancements in technology and changing consumer behaviors. Net-a-Porter, being a premium online luxury… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Net.a.Porter.Product.prices.United.Kingdom.Hermes.Product.prices.South.Korea
Hermes web scraped data
About the website
The luxury retail industry in the Asia Pacific region, particularly in South Korea, has been witnessing significant growth in the recent years. Undeniably fuelled by a rising middle-class population, increasing disposable income, and rapid urbanization, luxury goods demand is booming. French high-fashion label, Hermes, is one of the giants operating in this market. The brand has established a remarkable presence in South Korea… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Hermes.Product.prices.South.Korea.Saint.Laurent.Product.prices.Hong.Kong
Saint Laurent web scraped data
About the website
Saint Laurent is a renowned player in the highly competitive and evolving luxury fashion industry in the Asia Pacific region, with a significant presence in Hong Kong. Its operations span retail stores, online platforms, and an expansive assortment of apparel. The rise of digital has made ecommerce pivotal in reaching the ever-growing customer base in this region. Our dataset provides detailed Ecommerce product-list page… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Saint.Laurent.Product.prices.Hong.Kong.Celine.Product.prices.United.Kingdom
Celine web scraped data
About the website
The Ecommerce industry in the EMEA region, particularly in the United Kingdom, has shown a significant growth rate in recent years, becoming a pivotal element in the regions economic landscape. The rise of digital technologies and change in consumer behavior has further accelerated this upward trend. In this digital marketplace, Celine, a well-known high-end fashion brand, has maintained its mark. The dataset at-hand encompasses… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Celine.Product.prices.United.Kingdom.Saint.Laurent.Product.prices.South.Korea
Saint Laurent web scraped data
About the website
The fashion industry in the Asia Pacific, particularly in South Korea, is thriving and recognized for its dynamic adaptability to global styling trends. Central to this growth is the luxury segment that includes renowned brands such as Saint Laurent. Rapid digital transformation has occurred in this regions retail sector, most notably the rise of Ecommerce. Today, online retail portals serve as a significant sales channel… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Saint.Laurent.Product.prices.South.Korea.Chloe.Product.prices.South.Korea
Chloe web scraped data
About the website
The Ecommerce industry in the Asia Pacific region, particularly in South Korea, is experiencing remarkable growth. Fueling this rapid expansion are tech-savvy consumers who are rapidly adopting online shopping with ease and comfort. Companies like Chloe are leveraging the popularity of Ecommerce to extend their market reach. The dataset currently under observation contains Ecommerce product-list page (PLP) data specifically… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Chloe.Product.prices.South.Korea.Net.a.Porter.Product.prices.Hong.Kong
Net-a-Porter web scraped data
About the website
The Ecommerce industry in the Asia Pacific, particularly in Hong Kong, has shown significant growth with a rising number of online shoppers. Companies, such as Net-a-Porter, have been thriving in this robust market, offering luxury fashion and accessories through their digital platforms. Hong Kongs high internet penetration and mobile device usage rates provide an excellent environment for Ecommerce businesses. Additionally… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Net.a.Porter.Product.prices.Hong.Kong.Gucci.Product.prices.Hong.Kong
Gucci web scraped data
About the website
The fashion and luxury goods industry is a rapidly growing sector in the Asia Pacific region, particularly in Hong Kong. A focal point of high-end shopping, Hong Kong attracts both Asian and international luxury brands such as Gucci. The growth of online shopping has a significant impact on the market, with brands leveraging e-commerce platforms to reach a broader audience. The dataset available encompasses Ecommerce product-list… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Gucci.Product.prices.Hong.Kong.Dior.Product.prices.Hong.Kong
Dior web scraped data
About the website
The fashion and luxury goods industry in Asia Pacific, particularly in Hong Kong, is experiencing fast growth assisted by wealth creation and the consumers increasing desire for high-end products. Dior, one of the luxurious brands, has successfully penetrated this market. Through ecommerce, Dior has made strides in capturing more of the Hong Kong market. One dataset observed comprises Ecommerce product-list page (PLP) data on Dior… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Dior.Product.prices.Hong.Kong.Gucci.Product.prices.South.Korea
Gucci web scraped data
About the website
In the flourishing fashion and luxury goods industry in the Asia Pacific region, particularly South Korea, high-end brands like Gucci are experiencing a surge in popularity. E-commerce is a major driving force; this upward trend reflected in the dataset gathered, which includes Ecommerce product-list page (PLP) data on Guccis presence in South Korea. The country’s exponential rise in individual wealth and the strong influence of… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Gucci.Product.prices.South.Korea.Net.a.Porter.Product.prices.South.Korea
Net-a-Porter web scraped data
About the website
The fashion e-commerce industry in the Asia Pacific, particularly in South Korea, has seen tremendous growth over the last few years. Rapid advancements in digital technology, together with a sophisticated logistics infrastructure and increasingly affluent consumer base, are driving this expansion. South Korea’s digital infrastructure is one of the most advanced in the region, offering online retailers access to a broad… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Net.a.Porter.Product.prices.South.Korea.K-MNIST-CSV
Kuzushiji-MNIST
This dataset is a direct CSV conversion of Kuzushiji-MNIST, originally sourced from the GitHub repository https://github.com/rois-codh/kmnist.
Kuzushiji-MNIST is a drop-in replacement for the MNIST dataset (28x28 grayscale, 70,000 images).