datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
rukopys
RUKOPYS: Ukrainian Handwritten Text Recognition Dataset
RUKOPYS (Ukrainian: рукопис — manuscript) is the first large-scale open dataset for Ukrainian handwritten text recognition (HTR). It spans over a century of Ukrainian handwriting — from 1920s archival documents to present-day school homework — and is designed for end-to-end document understanding: region detection, type classification, and text transcription.
Ukrainian is among the largest Slavic languages (45M+ native… See the full description on the dataset page: https://huggingface.co/datasets/UkrainianCatholicUniversity/rukopys.ukr-emotions-binary
EmoBench-UA: Emotions Detection Dataset in Ukrainian Texts
EmoBench-UA: the first of its kind emotions detection dataset in Ukrainian texts. This dataset covers the detection of basic emotions: Joy, Anger, Fear, Disgust, Surprise, Sadness, or None.
Any text can contain any amount of emotion -- only one, several, or none at all. The texts with None emotions are the ones where the labels per emotions classes are 0.
Binary: specifically this dataset contains binary labels… See the full description on the dataset page: https://huggingface.co/datasets/ukr-detect/ukr-emotions-binary.damage_assessment_ukraine
Datasheet
Motivation
For what purpose was the dataset created?
The dataset was created to support research on the impact of the war on Ukrainian infrastructure. It contains satellite and aerial images from before and after disaster events, with the goal of enabling the development and evaluation of models for automated damage assessment.
There is a notable lack of publicly available, labeled datasets representing real-world post-disaster scenarios in Ukraine —… See the full description on the dataset page: https://huggingface.co/datasets/KOlegaBB/damage_assessment_ukraine.ukrainian-news-2026
Ukrainian News 2026
Ukrainian-language news articles from 20 national outlets, published between
1 January and 28 August 2026. Extracted body text plus metadata.
Two configs. deduplicated is the default — near-duplicates removed, which
is what you want when mixing this with an already-deduplicated pretraining
corpus. raw is the original release, unchanged.
deduplicated (default)
raw
train-mixin
Documents
419,204
429,427
386,477
Characters
0.97B
1.01B
0.88B
Tokens… See the full description on the dataset page: https://huggingface.co/datasets/Goader/ukrainian-news-2026.ukr-emotions-intensity
EmoBench-UA: Emotions Detection Dataset in Ukrainian Texts
EmoBench-UA: the first of its kind emotions detection dataset in Ukrainian texts. This dataset covers the detection of basic emotions: Joy, Anger, Fear, Disgust, Surprise, Sadness, or None.
Any text can contain any amount of emotion -- only one, several, or none at all. The texts with None emotions are the ones where the labels per emotions classes are 0.
Intensity: specifically this dataset contains intensity labels… See the full description on the dataset page: https://huggingface.co/datasets/ukr-detect/ukr-emotions-intensity.ukrainian-visual-wsd-benchmark
Ukrainain Visual Word Sense Disambiguation Benchmark
Dataset Overview
This dataset is designed for the task of Visual Word Sense Disambiguation, where the goal is to identify, with minimal contextual information, the most appropriate representation of a given ambiguous word from a set of ten images.
Dataset Structure
The dataset is organized into folders, where each folder corresponds to a specific word sense. Each folder contains:
9 images labeled as… See the full description on the dataset page: https://huggingface.co/datasets/yuriilaba/ukrainian-visual-wsd-benchmark.open-soil-ukraine
Open Soil Nutrient Dataset – Ukraine (2000, 2010, 2020)
Maintainer: SioraLicense: CC BY 4.0DOI: 10.5281/zenodo.16889567
Overview
This repository hosts the open soil nutrient dataset for Ukraine, prepared by Siora.It contains 15 archives, each providing a nutrient map in GeoTIFF format with previews, metadata, and documentation.Spatial resolution: ~250 mCoverage: years 2000, 2010, 2020Variables: Nitrogen (N), Phosphorus (P), Potassium (K), Organic Carbon (OC), and pH… See the full description on the dataset page: https://huggingface.co/datasets/Siora00/open-soil-ukraine.ukrainian-handwritten-text-full-pagesThis dataset is a reprocessed copy of the original "Ukrainian Handwritten Text" dataset published on Kaggle by Anny Hnatiuk.
car-ukraine-synth
Ukraine Synthetic Vehicle Dataset — Toyota Corolla × BMW 3 Series
Фотореалістичні синтетичні зображення седанів Toyota Corolla та BMW 3 Series в українських урбаністичних сценах, згенеровані через OpenAI gpt-image-2. Кожне зображення семплить з сітки 12 українських міст × 7 погодних умов × 5 часів доби × 6 типів камер (dashcam, CCTV, drone, smartphone, action cam, wall-mounted security).
Зображень: 150
Джерело: OpenAI gpt-image-2 (reference-conditioned edits endpoint)… See the full description on the dataset page: https://huggingface.co/datasets/arrmlet/car-ukraine-synth.pul-ukrainian-art
Dataset Card for Ukrainian Art in Times of War: 2014-
This dataset has 287 images and their metadata from the Princeton University Library's digital collection "Ukrainian Art in Times of War: 2014- Digital collection of works by Ukrainian artists" (https://dpul.princeton.edu/ukrainian-art)
Dataset Details
Dataset Description
This dataset was created for classroom use and to share the Ukrainian art collection as a dataset. Please see the collection page for… See the full description on the dataset page: https://huggingface.co/datasets/apjanco/pul-ukrainian-art.charts-json-ukrainianukrainian-lpUkrainianCatholicUniversity-rukopys-crops-split-tv
UkrainianCatholicUniversity-rukopys-crops
This dataset was created from full-page handwritten Ukrainian images by cropping annotated handwritten regions using bounding boxes.
Each sample contains:
file_name: path to the cropped image
text: transcription of the handwritten crop
source_image: original full-page image
source_bbox: original bounding box
padded_bbox: bounding box after padding
language: region language
legibility: legibility label
type: region type
russia-ukraine-cnbc
Dataset Card for "russia-ukraine-cnbc"
More Information needed
