datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
DisasterM3
DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response
Junjue Wang*,
Weihao Xuan*,
Heli Qi, Zhihao Liu, Kunyi Liu, Yuhan Wu, Hongruixuan Chen,
Jian Song
Junshi Xia, Zhuo Zheng, Naoto Yokoya†
* Equal Contributions
† Corresponding Author
Paper: https://arxiv.org/abs/2505.21089
Code: https://github.com/Junjue-Wang/DisasterM3
Highlights
DisasterM3 includes 26,988 bi-temporal satellite images and 123k instruction pairs across… See the full description on the dataset page: https://huggingface.co/datasets/Kingdrone-Junjue/DisasterM3.disasterviewDisasterM3
DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response
Junjue Wang*,
Weihao Xuan*,
Heli Qi, Zhihao Liu, Kunyi Liu, Yuhan Wu, Hongruixuan Chen,
Jian Song
Junshi Xia, Zhuo Zheng, Naoto Yokoya†
* Equal Contributions
† Corresponding Author
Paper: https://arxiv.org/abs/2505.21089
Code: https://github.com/Junjue-Wang/DisasterM3
Highlights
DisasterM3 includes 26,988 bi-temporal satellite images and 123k instruction pairs across… See the full description on the dataset page: https://huggingface.co/datasets/Patency/DisasterM3.DisasterM3_road_building_OpticalDisasterVQA
DisasterVQA: A Visual Question Answering Benchmark Dataset for Disaster Scenes
Dataset Summary
DisasterVQA is a benchmark dataset for evaluating Vision-Language Models (VLMs) on disaster-response visual question answering. It contains 1,395 real-world disaster images and 4,405 expert-curated question–answer pairs covering floods, wildfires, and earthquakes.
The dataset includes three question types:
Binary (Yes/No)
Multiple-Choice
Open-Ended
Questions span… See the full description on the dataset page: https://huggingface.co/datasets/anwan/DisasterVQA.DisasterM3
DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response
Junjue Wang*,
Weihao Xuan*,
Heli Qi, Zhihao Liu, Kunyi Liu, Yuhan Wu, Hongruixuan Chen,
Jian Song
Junshi Xia, Zhuo Zheng, Naoto Yokoya†
* Equal Contributions
† Corresponding Author
Paper: https://arxiv.org/abs/2505.21089
Code: https://github.com/Junjue-Wang/DisasterM3
Highlights
DisasterM3 includes 26,988 bi-temporal satellite images and 123k instruction pairs across… See the full description on the dataset page: https://huggingface.co/datasets/Patty101/DisasterM3.DisasterVQA
DisasterVQA: A Visual Question Answering Benchmark Dataset for Disaster Scenes
Dataset Summary
DisasterVQA is a benchmark dataset for evaluating Vision-Language Models (VLMs) on disaster-response visual question answering. It contains 1,395 real-world disaster images and 4,405 expert-curated question–answer pairs covering floods, wildfires, and earthquakes.
The dataset includes three question types:
Binary (Yes/No)
Multiple-Choice
Open-Ended
Questions span situational… See the full description on the dataset page: https://huggingface.co/datasets/QCRI/DisasterVQA.disaster-classificationDisasterM3
DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response
Junjue Wang*,
Weihao Xuan*,
Heli Qi, Zhihao Liu, Kunyi Liu, Yuhan Wu, Hongruixuan Chen,
Jian Song
Junshi Xia, Zhuo Zheng, Naoto Yokoya†
* Equal Contributions
† Corresponding Author
Paper: https://arxiv.org/abs/2505.21089
Code: https://github.com/Junjue-Wang/DisasterM3
Highlights
DisasterM3 includes 26,988 bi-temporal satellite images and 123k instruction pairs across… See the full description on the dataset page: https://huggingface.co/datasets/hqaaaaaaa/DisasterM3.disasteremergency-disaster-supply-readiness
Emergency & Disaster Supply Readiness (Stockpile, Readiness Score, Deployment, Response Gaps) | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: csv - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/emergency-disaster-supply-readiness.any_disaster_datadisaster-damage-assessment
Disaster Damage Assessment Dataset
Binary damage classification dataset (damage vs. no damage) across 4 natural disaster domains, used in:
Unsupervised Domain Adaptation for Rapid Disaster Damage Assessment
Dataset Structure
Domain
Code
Event
Images
Ecuador Earthquake
E
2016
1,724
Nepal Earthquake
N
2015
19,104
Hurricane Matthew
M
2016
333
Typhoon Ruby
R
2014
833
Total: 21,994 images across 4 domains.
Columns:
image: PIL Image
label: 0 =… See the full description on the dataset page: https://huggingface.co/datasets/abalhomaid/disaster-damage-assessment.DisasterM3
DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response
Junjue Wang*,
Weihao Xuan*,
Heli Qi, Zhihao Liu, Kunyi Liu, Yuhan Wu, Hongruixuan Chen,
Jian Song
Junshi Xia, Zhuo Zheng, Naoto Yokoya†
* Equal Contributions
† Corresponding Author
Paper: https://arxiv.org/abs/2505.21089
Code: https://github.com/Junjue-Wang/DisasterM3
Highlights
DisasterM3 includes 26,988 bi-temporal satellite images and 123k instruction pairs across 5… See the full description on the dataset page: https://huggingface.co/datasets/CyberAltais/DisasterM3.DisasterM3
DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response
Junjue Wang*,
Weihao Xuan*,
Heli Qi, Zhihao Liu, Kunyi Liu, Yuhan Wu, Hongruixuan Chen,
Jian Song
Junshi Xia, Zhuo Zheng, Naoto Yokoya†
* Equal Contributions
† Corresponding Author
Paper: https://arxiv.org/abs/2505.21089
Code: https://github.com/Junjue-Wang/DisasterM3
Highlights
DisasterM3 includes 26,988 bi-temporal satellite images and 123k instruction pairs across… See the full description on the dataset page: https://huggingface.co/datasets/Vane3RS/DisasterM3.DisasterM3
DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response
Junjue Wang*,
Weihao Xuan*,
Heli Qi, Zhihao Liu, Kunyi Liu, Yuhan Wu, Hongruixuan Chen,
Jian Song
Junshi Xia, Zhuo Zheng, Naoto Yokoya†
* Equal Contributions
† Corresponding Author
Paper: https://arxiv.org/abs/2505.21089
Code: https://github.com/Junjue-Wang/DisasterM3
Highlights
DisasterM3 includes 26,988 bi-temporal satellite images and 123k instruction pairs across… See the full description on the dataset page: https://huggingface.co/datasets/Xunlun/DisasterM3.DisasterClassificationDisasterM3
DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response
Junjue Wang*,
Weihao Xuan*,
Heli Qi, Zhihao Liu, Kunyi Liu, Yuhan Wu, Hongruixuan Chen,
Jian Song
Junshi Xia, Zhuo Zheng, Naoto Yokoya†
* Equal Contributions
† Corresponding Author
Paper: https://arxiv.org/abs/2505.21089
Code: https://github.com/Junjue-Wang/DisasterM3
Highlights
DisasterM3 includes 26,988 bi-temporal satellite images and 123k instruction pairs across… See the full description on the dataset page: https://huggingface.co/datasets/Pandamx/DisasterM3.disaster-classifnatural_disasters_sat_imagesDisasterM3
DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response
Junjue Wang*,
Weihao Xuan*,
Heli Qi, Zhihao Liu, Kunyi Liu, Yuhan Wu, Hongruixuan Chen,
Jian Song
Junshi Xia, Zhuo Zheng, Naoto Yokoya†
* Equal Contributions
† Corresponding Author
Paper: https://arxiv.org/abs/2505.21089
Code: https://github.com/Junjue-Wang/DisasterM3
Highlights
DisasterM3 includes 26,988 bi-temporal satellite images and 123k instruction pairs across… See the full description on the dataset page: https://huggingface.co/datasets/yufaxia/DisasterM3.DisasterM3
DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response
Junjue Wang*,
Weihao Xuan*,
Heli Qi, Zhihao Liu, Kunyi Liu, Yuhan Wu, Hongruixuan Chen,
Jian Song
Junshi Xia, Zhuo Zheng, Naoto Yokoya†
* Equal Contributions
† Corresponding Author
Paper: https://arxiv.org/abs/2505.21089
Code: https://github.com/Junjue-Wang/DisasterM3
Highlights
DisasterM3 includes 26,988 bi-temporal satellite images and 123k instruction pairs across… See the full description on the dataset page: https://huggingface.co/datasets/Ling200424/DisasterM3.DisasterM3disaster-datasetdisaster_assessmentDisasterM3_COCO
