datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
apac-nwp-forecast
APAC NWP Forecast — analysis-ready Zarr cube
Hourly numerical weather prediction (NWP) forecasts for the Asia-Pacific region
(lat −44…46, lon 92…154 — Japan, Taiwan, Southeast Asia, Australia and surrounding
seas), archived every run from multiple weather models. Variables are chosen for
solar-energy applications (irradiance, temperature, cloud cover, wind, …).
Every run is stored in one growing, analysis-ready Zarr cube per model with axes
init_time × lead_time × latitude ×… See the full description on the dataset page: https://huggingface.co/datasets/jimtseng/apac-nwp-forecast.apac-nwp-forecast-raw
APAC NWP Forecast — raw per-run parquet (Bronze)
Immutable per-run parquet capture of Asia-Pacific NWP forecasts (JMA MSM, DWD ICON),
one file per model run. This is the Bronze layer of the dataset family — the raw export
kept exactly as fetched, before it is reshaped into the analysis-ready cube.
Most users want the analysis-ready cube, not this:
👉 jimtseng/apac-nwp-forecast (Silver, Zarr Mode A).
Dataset family
Dataset
Format
Role… See the full description on the dataset page: https://huggingface.co/datasets/jimtseng/apac-nwp-forecast-raw.nwpu-vhr10apac-nwp-forecast-zipNWPUCampusDatasetNWPU-RESISC45
Dataset Card for "NWPU-RESISC45"
Licensing Information
[CC-BY-SA]
Citation Information
Remote sensing image scene classification: Benchmark and state of the art
@article{cheng2017remote,
title = {Remote sensing image scene classification: Benchmark and state of the art},
author = {Cheng, Gong and Han, Junwei and Lu, Xiaoqiang},
year = 2017,
journal = {Proceedings of the IEEE},
publisher = {IEEE},
volume = 105… See the full description on the dataset page: https://huggingface.co/datasets/jonathan-roberts1/NWPU-RESISC45.NWPU-UnionGeoChat-NWPU-RESISC45UAVBench
🎉 To the best of our knowledge, UAVBench is the first vision-language benchmark to assess low-altitude UAV image-level and region-level understanding and reasoning capabilities of MLLMs.
📢 News
This is an ongoing project. We will be working on improving it.
📦 Complete evaluation code coming soon! 🚀
📦 Detailed low-altitude UAV MLLMs model inference tutorial coming soon! 🚀
[05/13/2025] 🚀 We release our UAVBench benchmark and UAVIT-1M instruct tunning data to… See the full description on the dataset page: https://huggingface.co/datasets/ZhanYang-nwpu/UAVBench.NWPU_YRCC_GFICE
NWPU YRCC GFICE
NWPU_YRCC_GFICE (GFICE) is a satellite remote-sensing semantic segmentation dataset for fine-grained river-ice mapping. It is built from multi-spectral GF-2 satellite imagery over the Yellow River (Ningxia–Inner Mongolia section) and is designed to support hydrological monitoring and ice-flood early warning research.
Dataset Details
Dataset Description
The NWPU_YRCC_GFICE dataset provides pixel-level annotations for river-ice scenes captured… See the full description on the dataset page: https://huggingface.co/datasets/ASGOLabMultisourceCooperationGroup/NWPU_YRCC_GFICE.UAVIT-1M
🎉 UAVIT-1M stands as the first largest and most comprehensive instruction tuning dataset to enhance low-altitude UAV visual understanding abilities, supporting 11 image-level and region-level tasks.
📢 News
This is an ongoing project. We will be working on improving it.
📦 Complete evaluation code coming soon! 🚀
📦 Detailed low-altitude UAV MLLMs model inference tutorial coming soon! 🚀
[05/13/2025] 🚀 We release our UAVBench benchmark and UAVIT-1M instruct… See the full description on the dataset page: https://huggingface.co/datasets/ZhanYang-nwpu/UAVIT-1M.NWPU-captionsNWPU-RESISC45
Dataset Card for "NWPU-RESISC45"
Licensing Information
[CC-BY-SA]
Citation Information
Remote sensing image scene classification: Benchmark and state of the art
@article{cheng2017remote,
title = {Remote sensing image scene classification: Benchmark and state of the art},
author = {Cheng, Gong and Han, Junwei and Lu, Xiaoqiang},
year = 2017,
journal = {Proceedings of the IEEE},
publisher = {IEEE},
volume… See the full description on the dataset page: https://huggingface.co/datasets/Ling200424/NWPU-RESISC45.nwpu-resisc45
NWPU-RESISC45
Train/val split manifests extracted from GeoChat_Instruct
for fine-tuning vision-language models on satellite scene classification.
Classes
45 scene categories (e.g. airplane, baseball diamond, beach, bridge, …)
Splits
Split
Samples
train
~25 200
val
~4 725
Format
Each JSON file is a list of objects with fields:
image (relative path), question, answer (class label).
SkyEye-968k
SkyEyeGPT: Unifying Remote Sensing Vision-Language Tasks via Instruction Tuning with Large Language Model
Author: Yang Zhan, Zhitong Xiong, Yuan Yuan
School of Artificial Intelligence, OPtics, and ElectroNics (iOPEN), Northwestern Polytechnical University
This is the official instruction dataset for paper "SkyEyeGPT: Unifying Remote Sensing Vision-Language Tasks via Instruction Tuning with Large Language Model". paper
You can focus on the official repository here… See the full description on the dataset page: https://huggingface.co/datasets/ZhanYang-nwpu/SkyEye-968k.NWPU-CaptionNWPU-RESISC45NWPU-FSnwpnwpu-resisc45-v1
NWPU-RESISC45
Train/val split manifests extracted from GeoChat_Instruct
for fine-tuning vision-language models on satellite scene classification.
This Hub dataset includes a real image column so the dataset viewer shows the image,
question, and answer aligned row-by-row.
Classes
45 scene categories (e.g. airplane, baseball diamond, beach, bridge, …)
Splits
Split
Samples
train
~25 200
val
~4 725
Format
Columns:
image (previewable… See the full description on the dataset page: https://huggingface.co/datasets/tarek199147/nwpu-resisc45-v1.UAV-SVGnwpu_captions_pycocoevalcapNWPU-RESISC45
Dataset Card for "NWPU-RESISC45"
Licensing Information
[CC-BY-SA]
Citation Information
Remote sensing image scene classification: Benchmark and state of the art
@article{cheng2017remote,
title = {Remote sensing image scene classification: Benchmark and state of the art},
author = {Cheng, Gong and Han, Junwei and Lu, Xiaoqiang},
year = 2017,
journal = {Proceedings of the IEEE},
publisher = {IEEE},
volume = 105… See the full description on the dataset page: https://huggingface.co/datasets/yangjiahao-x/NWPU-RESISC45.NWPU_SplitNWPU-GENNWPU-RESISC45NWPU-RESISC45-SAMPLE500-TRAINVALTEST701515NWPU_ReformNWPUCampusDatasetcounting_NWPU_crowd