datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Landslide4sense
Landslide4Sense
Dataset Description
This dataset is originally introduced in GitHub repo Landslide4Sense-2022.
The Landslide4Sense dataset has three splits, training/validation/test, consisting of 3799, 245, and 800 image patches, respectively. Each image patch is a composite of 14 bands that include:
Multispectral data from Sentinel-2: B1, B2, B3, B4, B5, B6, B7, B8, B9, B10, B11, B12.
Slope data from ALOS PALSAR: B13.
Digital elevation model (DEM) from ALOS… See the full description on the dataset page: https://huggingface.co/datasets/ibm-nasa-geospatial/Landslide4sense.hls_burn_scarsThis dataset contains Harmonized Landsat and Sentinel-2 imagery of burn scars and the associated masks for the years 2018-2021 over the contiguous United States. There are 804 512x512 scenes. Its primary purpose is for training geospatial machine learning models.Sombench-Ice-Prospectivity-Regression
SomBench Benchmark: Polar Ice Prospectivity Regression
Science theme: Polar volatiles
Task: Regression
Dataset Summary
A polar, multi-layer benchmark for predicting near-surface water-ice
prospectivity within ~10° latitude of each pole at 240 m/pixel. Following
the ice-prospectivity workflow of Coyan et al. (2025), the dataset includes a
group of physically motivated evidential layers (thermophysical,
illumination, and terrain) alongside a continuous prospectivity… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/Sombench-Ice-Prospectivity-Regression.Sombench-WAC-Crater-Detection
SomBench Benchmark: Robbins Crater Detection, WAC
Science theme: Impact processes
Task: Object detection
Dataset Summary
An impact-crater object-detection benchmark built from the
Robbins (2019) global lunar crater
catalog, a manually compiled, near-complete census of
lunar impact craters (≥ ~1–2 km). Catalog crater centers and diameters are
converted to bounding boxes and packaged over LROC WAC visible tiles drawn
from the pre-training corpus test split, in COCO… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/Sombench-WAC-Crater-Detection.hurricane
Data Format Description for Hurricane Evaluation on Prithvi WxC
Overview
To evaluate the performance of Prithvi WxC on hurricanes, the surface and pressure data from the MERRA-2 dataset, comprising 160 variables used in training, is required. The complete evaluation dataset includes 75 different initial conditions for hurricanes that formed in the Atlantic Ocean between 2017 and 2023.
The scientific objective is to assess the zero-shot performance of Prithvi WxC in… See the full description on the dataset page: https://huggingface.co/datasets/ibm-nasa-geospatial/hurricane.hls_merra2_gppFlux
Dataset Summary:
This dataset consists of Harmonized Landsat and Sentinel-2 multispectral reflectance imagery and MERRA-2 observations centered around eddy covariance flux towers and the corresponding Gross Primary Productivity (GPP) data at the towers. Its purpose is to serve as a finetuning dataset for geospatial foundation models for the task of regressing GPP flux observations from HLS and MERRA-2 data.
Dataset Structure:
The dataset consists of:
(1) HLS 6-band Tiff… See the full description on the dataset page: https://huggingface.co/datasets/ibm-nasa-geospatial/hls_merra2_gppFlux.nasa
NASA Image Library (Recaptioned)
A public-domain subset of the NASA Image and Video Library, filtered and captioned with a Qwen vision-language model. Prepared by the Swiss AI Initiative vision team.
The set contains 36,997 images, all public domain, covering spaceflight, astronomy, planetary science, Earth observation and aeronautics, from NASA centers including JPL, KSC, MSFC, JSC and GSFC.
How it was made
Images were sourced directly from NASA's public API… See the full description on the dataset page: https://huggingface.co/datasets/swiss-ai/nasa.Sombench-IMP-Segmentation
SomBench Benchmark: Irregular Mare Patch (IMP) Segmentation
Science theme: Volcanic history
Task: Binary semantic segmentation
Dataset Summary
A binary semantic-segmentation benchmark for irregular mare patches
(IMPs): rare, morphologically subtle features interpreted as unusually young
volcanic landforms. Each sample is an LROC NAC image tile paired with a
binary IMP mask (IMP vs. background). The set is derived from published IMP
polygon annotations, framed as a… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/Sombench-IMP-Segmentation.NASA-OPERAcoco2Tawfikclr_motion_planning_hw_7COCO_AI
VISUAL COUNTER TURING TEST - COCO DATASET
The Visual Counter Turing Test (VCT²) dataset is introduced in the paper“Visual Counter Turing Test (VCT²): Discovering the Challenges for AI-Generated Image Detection and Introducing Visual AI Index (V_AI)”,accepted at IJCNLP–AACL 2025 and available on arXiv:2411.16754.
This dataset aims to benchmark and analyze the challenges of AI-generated image detection (AGID) in the era of advanced text-to-image models.It provides a large-scale… See the full description on the dataset page: https://huggingface.co/datasets/NasrinImp/COCO_AI.NASADEM_DATASET
NASADEM_DATASET/
README.md
train/metadata.csv
train.zip
NASA_IMPACT_TCB_OBJ
Transverse Cirrus Bands (TCB) Dataset
Dataset Overview
This dataset contains manually annotated satellite imagery of Transverse Cirrus Bands (TCBs), a type of cloud formation often associated with atmospheric turbulence. The dataset is formatted for object detection tasks using the YOLO and COCO annotation formats, making it suitable for training deep learning models for automated TCB detection.
Data Collection
Source: NASA-IMPACT Data Share
Satellite Sensors:… See the full description on the dataset page: https://huggingface.co/datasets/viknesh1211/NASA_IMPACT_TCB_OBJ.ICPR2022Twitter_AI
VISUAL COUNTER TURING TEST (VCT²) — TWITTER DATASET
The Visual Counter Turing Test (VCT²) dataset is introduced in the paper“Visual Counter Turing Test (VCT²): Discovering the Challenges for AI-Generated Image Detection and Introducing Visual AI Index (V_AI)”,accepted at IJCNLP–AACL 2025 and available on arXiv:2411.16754.
This dataset aims to benchmark and analyze the challenges of AI-generated image detection (AGID) using real-world, social media–driven captions and imagery.It… See the full description on the dataset page: https://huggingface.co/datasets/NasrinImp/Twitter_AI.modis-lake-powell-toy-dataset
MODIS Water Lake Powell Toy Dataset
Dataset Summary
Tabular dataset comprised of MODIS surface reflectance bands along with calculated indices and a label (water/not-water)
Dataset Structure
Data Fields
water: Label, water or not-water (binary)
sur_refl_b01_1: MODIS surface reflection band 1 (-100, 16000)
sur_refl_b02_1: MODIS surface reflection band 2 (-100, 16000)
sur_refl_b03_1: MODIS surface reflection band 3 (-100, 16000)
sur_refl_b04_1: MODIS… See the full description on the dataset page: https://huggingface.co/datasets/nasa-cisto-data-science-group/modis-lake-powell-toy-dataset.nasa_earth_instagram
NASA Earth Instagram
This dataset is a moderately curated subset of the posts shown on NASA Earth's Instagram, with an emphasis
on finding image-text pairs where the text associated is as close as possible to being a direct caption of the image in question.
This dataset has a variety of use cases, but the one which it is originally intended for is to provide a fine-tuning dataset for image captioning models,
to be better equipped for describing the exact pheonomena in satellite… See the full description on the dataset page: https://huggingface.co/datasets/nkasmanoff/nasa_earth_instagram.nasa-apod
NASA Astronomy Picture of the Day
Credit: NASA/GSFC/Suomi NPP
Part of a dataset collection on Hugging Face.
Dataset description
Daily astronomy images and explanations from NASA's Astronomy Picture of the Day (APOD) program, the longest-running astronomy outreach initiative on the internet. Each entry features a curated astronomical image or video with a written explanation by a professional astronomer.
APOD has published one entry every day since June 16… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/nasa-apod.Final_defactify_test_newnass-cdl-cogsburn_intensity
Dataset Summary
This dataset contains burn scar intensity data and Harmonized Landsat and Sentinel-2 (HLS) images for burn scar analysis across various time frames: pre-burn, during-burn, and post-burn.
Each file provides spatial information on burn scar intensity and top-of-atmosphere (TOA) reflectance values.
The dataset includes:
BS_files_raw.csv: The complete set of burn scar intensity data without filtering.
BS_files_with_less_than_25_percent_zeros.csv: Filtered dataset with… See the full description on the dataset page: https://huggingface.co/datasets/ibm-nasa-geospatial/burn_intensity.nasa_space_apps_2024_seismic_detection
Welcome, Space Apps challengers, to “Seismic Detection across the Solar System”.
Today, we challenge YOU to parse through seismic data collected on the Moon and Mars and figure out how to detect moonquakes and marsquakes!
To get you started on the data, we present to you a training set containing the following:
A catalog of quakes identified in the data
Seismic data collected by the Apollo (one day segments) or InSight (one hour segments) missions in miniseed and CSV format.… See the full description on the dataset page: https://huggingface.co/datasets/MH0386/nasa_space_apps_2024_seismic_detection.tutorial-senegal-lclucurdu-poetry-nastaleeq-ocr
Urdu Poetry Nastaleeq OCR Dataset
This dataset consists of 17,610 high-quality images of Urdu poetry couplets (Shers) rendered in the Jameel Noori Nastaleeq font. It is specifically designed for fine-tuning OCR models like TrOCR to recognize the complex, calligraphic Nastaleeq script.
Dataset Structure
The dataset is split into train and test sets:
Train: 15,849 couplets
Test: 1,761 couplets
Features
image: The rendered image of the Urdu couplet (1600x450… See the full description on the dataset page: https://huggingface.co/datasets/Khurram123/urdu-poetry-nastaleeq-ocr.jamo-gold
JAMO Gold — Human-Validated Hangul Rendering Judgments
A small, carefully labelled dataset for a specific purpose: testing whether
an OCR engine can tell that a glyph is not a real character.
It is not a Hangul OCR training set, and not a model leaderboard.
Why this exists
Benchmarks that measure visual text rendering score generated images with
OCR. But OCR engines are closed-set classifiers — given an image, they must
return some character from their… See the full description on the dataset page: https://huggingface.co/datasets/Nasser4963/jamo-gold.CHIME-Rnasa_concept_art
Dataset Card for NASA Concept Art
Dataset Details
Dataset Description
This dataset contains 36 NASA concept art images sourced from the NASA ArtSpace album on Flickr (https://www.flickr.com/photos/nasacommons/albums/72157633936061500/). The images are without copyright and have been curated to focus on retro-futuristic space concepts, primarily from the 1960s and 1970s.
NASA ArtSpace features creative works that serve to inform and inspire the process of… See the full description on the dataset page: https://huggingface.co/datasets/davanstrien/nasa_concept_art.FinanceGym
FinanceGym: A Dataset for Financial Multimodal Agents
A dataset for financial multimodal agents.
59K+ training samples
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2.4K testing samples
Public test split only
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Apache-2.0
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Source snapshot: August 13, 2026
Website
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Dataset Viewer
FinanceGym is a finance-oriented dataset designed to teach multimodal agents to turn financial instructions into correctly grounded actions in software interfaces. Each public example combines the task… See the full description on the dataset page: https://huggingface.co/datasets/nassimjp/FinanceGym.modis-lake-powell-raster-dataset
MODIS Water Lake Powell Raster Dataset
Dataset Summary
Raster dataset comprised of MODIS surface reflectance bands along with calculated indices and a label (water/not-water)
Dataset Structure
Data Fields
water: Label, water or not-water (binary)
sur_refl_b01_1: MODIS surface reflection band 1 (-100, 16000)
sur_refl_b02_1: MODIS surface reflection band 2 (-100, 16000)
sur_refl_b03_1: MODIS surface reflection band 3 (-100, 16000)
sur_refl_b04_1:… See the full description on the dataset page: https://huggingface.co/datasets/nasa-cisto-data-science-group/modis-lake-powell-raster-dataset.