datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
telegram-news-ua-dataset
Aisberg Telegram News UA
A continuously updated, de-identified corpus of Ukrainian Telegram news and the discussion around it, published by the Ukrainian non-profit Aisberg (ГО «АЙЗБЕРГ»). It comes in two layers. The first is the raw monthly stream: every post from a fixed set of public news channels, with its reactions and its comment thread. The second is the analysis behind every report Aisberg publishes: posts from different channels grouped into one event, the manipulation… See the full description on the dataset page: https://huggingface.co/datasets/aisbergpublicorganization/telegram-news-ua-dataset.ua-open-data
Україна: дзеркало відкритих даних (data.gov.ua)
Автоматичне дзеркало публічних наборів data.gov.ua,
яке підтримує пайплайн JoTalbot/ukraine.
Набори
Набір
Файлів
Джерело
Єдиний державний реєстр юридичних осіб, фізичних осіб-підприємців та громадських формувань
6
—
Реєстр декларацій родинних зв’язків та доброчесності
14
—
Державний судновий реєстр України
9
—
Публічні закупівлі на сайті Prozorro
1
—
Інформація щодо стану розгляду справ
5
—… See the full description on the dataset page: https://huggingface.co/datasets/JoTalbot/ua-open-data.UAVReason_depth
🗺️ UAVReason Depth
Depth maps and depth statistics for UAV-native multimodal reasoning and generation
📌 News
Paper: Can Vision-Language Models Think from the Sky? Unifying UAV Reasoning and Generation
arXiv: arXiv:2604.05377
VQA / caption / generation annotations: jarvissun/UAVReason_vqa
This dataset is released as part of UAVReason, introduced in the paper above.Please cite the paper if you use this dataset.
🧭 Overview
UAVReason Depth… See the full description on the dataset page: https://huggingface.co/datasets/jarvissun/UAVReason_depth.ua-edrsr
ЄДРСР — судові рішення України (нормалізоване дзеркало)
Автоматичне дзеркало офіційних публікацій Єдиного державного реєстру судових рішень на data.gov.ua.
Пайплайн: JoTalbot/ukraine.
Роки та обсяги
Рік
Записів
SHA-256 архіву
2006
340171
4e19811feef9…
2007
1084514
49cf87b3a0e1…
2008
2185311
ce7dbc1b8da3…
2009
3539627
3be90c8824ab…
2010
5869727
b9cd6b5e2562…
2011
7128372
4b845ee3b4bd…
2012
6903131
ba145669d313…
2013
7704297
1794ceb7e3a5…… See the full description on the dataset page: https://huggingface.co/datasets/JoTalbot/ua-edrsr.Synthetic-UAV-Flight-Trajectories
UAV Trajectory Dataset
Summary
This dataset comprises over 5000 random UAV (Unmanned Aerial Vehicle) trajectories collected over 20 hours of flight time. It is intended for training AI models such as trajectory prediction applications. The dataset is generated through an automated pipeline for the creation and preprocessing of UAV synthetic trajectories, making it ready for direct AI model training.
Data Description
The dataset features parameterized… See the full description on the dataset page: https://huggingface.co/datasets/riotu-lab/Synthetic-UAV-Flight-Trajectories.UAV-SEAD_State_Estimation_Anomaly_DatasetUAVDT-Benchmark-Mlagenda_split
LAGENDA Dataset
This is a community mirror of the LAGENDA dataset created by LayerTeam. It has been uploaded here for easier access and integration with the Hugging Face datasets library.
All credit, rights, and accolades belong to the original authors. Please see the citation section below.
Dataset Description
LAGENDA (Large Age and Gender Dataset) is a dataset designed for age and gender recognition tasks. It addresses common biases in existing datasets by ensuring a… See the full description on the dataset page: https://huggingface.co/datasets/uaebn/lagenda_split.BoilingBench-CV
BoilingBench-CV Dataset
Version: v0.1.0
Maintainer: NED3 Laboratory, University of Arkansas
License: CC BY 4.0
DOI: 10.5281/zenodo.22264378
Mirror of the Zenodo deposit of 3 September 2026, published here because most
users of these data work in the Hugging Face ecosystem. The file set was
verified identical to the deposit at upload time: 7,147 files, 4.20 GB
uncompressed.
Authors
Hari Pandey (University of Arkansas), Manohar Bongarala (Purdue University),
Christy… See the full description on the dataset page: https://huggingface.co/datasets/UARK-NED3/BoilingBench-CV.UAV3DCrop
UAV3DCrop
UAV3DCrop is a multi-year UAV crop dataset containing field imagery and
associated reconstruction metadata for agricultural research.
Project page: UAV3DCrop
Paper: UAV3DCrop: Benchmarking 3D Reconstruction in Repeated Multi-Angle UAV Crop Surveys
Code: GitHub
Companion depth dataset: UAV3DCrop Depth
Repository Contents
The dataset is organized by year and acquisition day. A scene may include:
RGB images in an images/ directory;
camera parameters and… See the full description on the dataset page: https://huggingface.co/datasets/Link-Dev/UAV3DCrop.uav-flight-anomaly-dataset
DATASET CARD for UAV-SEAD
Citation
BibTeX:
@article{kabaoglu2024uavsead,
title={UAV-SEAD: State Estimation Anomaly Dataset for UAVs},
author={Kabaoglu, Aykut and Sariel, Sanem},
journal={arXiv preprint},
year={2026}
}
DATASET INFORMATION
Dataset Description
UAV-SEAD (State Estimation Anomaly Dataset) is a comprehensive, large-scale, real-world flight dataset designed to advance research in Fault Detection and Identification… See the full description on the dataset page: https://huggingface.co/datasets/aykutkabaoglu/uav-flight-anomaly-dataset.UAV3DCrop_depth
UAV3DCrop Depth
UAV3DCrop Depth contains per-image depth maps associated with the UAV3DCrop
multi-year agricultural UAV dataset.
Project page: UAV3DCrop
Paper: UAV3DCrop: Benchmarking 3D Reconstruction in Repeated Multi-Angle UAV Crop Surveys
Code: UAV3DCrop GitHub
RGB dataset: UAV3DCrop
Repository Contents
The depth data are organized by year and acquisition scene. Scene directories
contain TIFF depth maps named to correspond to images in the main UAV3DCrop… See the full description on the dataset page: https://huggingface.co/datasets/Link-Dev/UAV3DCrop_depth.MM-UAVBench
MM-UAVBench
A comprehensive multimodal benchmark designed to evaluate the perception, cognition, and planning abilities of Multimodal Large Language Models (MLLMs) in low-altitude UAV scenarios.
📚 Dataset Overview
MM-UAVBench focuses on assessing MLLMs' performance in UAV-specific low-altitude scenarios, with three core characteristics:
Key Features
Comprehensive Task Design
19 tasks across 3 capability dimensions (perception/cognition/planning)… See the full description on the dataset page: https://huggingface.co/datasets/daisq/MM-UAVBench.UAV-SEAD_State_Estimation_Anomaly_Datasetglobal-streetscapes
Global Streetscapes
Repository for the tabular portion of the Global Streetscapes dataset by the Urban Analytics Lab (UAL) at the National University of Singapore (NUS).
Content Breakdown
Global Streetscapes (74 GB)
├── data/ (49 GB)
│ ├── 21 CSV files with 346 unique features in total and 10M rows each (37 GB)
│ ├── parquet/ (12 GB) (New)
│ ├── 21 Parquet equivalents of the 21 CSV files (New)
│ ├── 1 combined Parquet file (New)
├── manual_labels/ (23… See the full description on the dataset page: https://huggingface.co/datasets/NUS-UAL/global-streetscapes.ua_detracThis is a pre-formatted version of the UA-DETRAC vehicle detection and tracking dataset for use with out P2S-Video framework:
https://github.com/abhineet123/p2s-video
UAV-FlowUAVid-2020
UAVid: Aerial Semantic Segmentation Dataset
Unofficial redistribution of the UAVid dataset under the original CC BY-NC-SA 4.0 license.
Disclaimer
This repository is not an official release of the UAVid dataset.
The UAVid dataset was created by the original authors, who retain all copyright and intellectual property rights. This repository does not claim ownership of any images, annotations, or metadata.
This repository exists for two purposes:
To… See the full description on the dataset page: https://huggingface.co/datasets/dronefreak/UAVid-2020.GeoDeep-Modelsuae_collecteddisasterviewua-edrsr-texts
ЄДРСР — повні тексти судових рішень
Тексти рішень, отримані за прямими посиланнями (source_url) з публічного
Єдиного державного реєстру судових рішень (reyestr.court.gov.ua).
Метадані: JoTalbot/ua-edrsr;
пайплайн: JoTalbot/ukraine.
Отримання: rate-limited (0.5 с на запит), лише публічно опубліковані документи.
state.json — список вже завантажених document_id (щоб не качати повторно).
Формат: <рік>/texts-*.parquet (document_id, court, case_number, category, judge, text).… See the full description on the dataset page: https://huggingface.co/datasets/JoTalbot/ua-edrsr-texts.Anti-UAV-RGBTUAVScenes
UAVScenes
(ICCV 2025) UAVScenes: A Multi-Modal Dataset for UAVs
[arXiv] [ICCV 2025]
We introduce UAVScenes, a large-scale dataset designed to benchmark various tasks across both 2D and 3D modalities. Our benchmark dataset is built upon the well-calibrated multi-modal UAV dataset MARS-LVIG, originally developed only for simultaneous localization and mapping (SLAM). We enhance this dataset by providing manually labeled semantic annotations for both images and LiDAR point clouds… See the full description on the dataset page: https://huggingface.co/datasets/sijieaaa/UAVScenes.UAV-Human
UAV-Human Dataset (Mirror)
Dataset Summary
The RGB video data of [CVPR2021] UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles.
Usage
Download Dataset
curl -L -o rgb_data.zip https://huggingface.co/datasets/hibana2077/UAV-Human/resolve/main/all_rgb.zip?download=true
Download Anno
curl -L -o classes_map.csv… See the full description on the dataset page: https://huggingface.co/datasets/hibana2077/UAV-Human.UAV-Aerial-View-Battle-Tank-Detection-Dataset
Aerial UAV Perspective: Battle Tank Detection Dataset
Overview
This is an open-source synthetic dataset specifically engineered to train computer vision models in identifying main battle tanks (MBTs) and armored combat vehicles from tactical overhead and drone perspectives.
Obtaining real-world tactical aerial imagery for defense analytics is heavily restricted, operationally dangerous, or classified. This dataset addresses that critical data bottleneck by… See the full description on the dataset page: https://huggingface.co/datasets/Simuletic/UAV-Aerial-View-Battle-Tank-Detection-Dataset.ua-detracgimbaled-uav-tracking-dataset
Gimbaled UAV Tracking Dataset / 云台无人机追踪数据集
A real-world, multi-sensor dataset for active localization of a non-cooperative
UAV using a two-axis gimbaled LiDAR–camera fusion system. It contains 16 flight
sequences acquired with a ground vehicle platform, together with the associated
tracking outputs and an RTK-based position reference.
面向非合作无人机主动定位的实测多传感数据集，采集自一套基于两轴云台
LiDAR–相机融合的地面车辆平台。包含 16 个飞行序列，并附带相应的跟踪
输出与基于 RTK 的位置参考。
The sequences span two acquisition days, sunny and… See the full description on the dataset page: https://huggingface.co/datasets/humanoidro/gimbaled-uav-tracking-dataset.UAV-Flow-SimUAV-IndoorCL
UAV-IndoorCL
This repository contains the dataset presented in the paper Learning on the Fly: Replay-Based Continual Object Perception for Indoor Drones.
Project Page | GitHub
Dataset Summary
UAV-IndoorCL is an indoor video dataset consisting of 14,400 frames capturing inter-drone and ground vehicle footage. It was specifically designed to support and benchmark Class-Incremental Learning (CIL) research for resource-constrained aerial platforms. The frames were… See the full description on the dataset page: https://huggingface.co/datasets/kaochuang/UAV-IndoorCL.