datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SKIPPD
Citation
If you find SKIPP'D useful to your research, please cite:
Nie, Y., Li, X., Scott, A., Sun, Y., Venugopal, V., & Brandt, A. (2023). SKIPP’D: A SKy Images and Photovoltaic Power Generation Dataset for short-term solar forecasting. Solar Energy, 255, 171-179.
or
@article{nie2023skipp,
title={SKIPP’D: A SKy Images and Photovoltaic Power Generation Dataset for short-term solar forecasting},
author={Nie, Yuhao and Li, Xiatong and Scott, Andea and Sun, Yuchi and Venugopal… See the full description on the dataset page: https://huggingface.co/datasets/solarbench/SKIPPD.solar-pv-detection-brandenburg-dataset
Solar PV Ground Truth Dataset — Brandenburg Orthophotos
Hand-corrected ground-truth masks for photovoltaic detection on 20 cm GSD
aerial orthophotos (1 km × 1 km tiles, 4-band RGBI) of Brandenburg, Germany.
Companion to the model repository
solar-pv-segmentation-brandenburg.
Contents
Folder
Contents
gt_masks_selected/
1432 hand-corrected patch masks (256×256 px, uint8, 0=background / 1=PV), split into training/validation/testing
gt_masks_full_tiles/… See the full description on the dataset page: https://huggingface.co/datasets/Muemmel/solar-pv-detection-brandenburg-dataset.solar-panel-inspectionSOLAR
SOLAR — ARCLE trajectories for ARC, written by an LLM
Synthesized Offline Learning dataset for Abstraction and Reasoning
Step-by-step solutions to the 400 tasks of the ARC-AGI-1 training split, on
inputs resampled by RE-ARC rather than
the original pairs, executable in ARCLE.
Every trajectory is a sequence of grid operations — select a region, recolor it,
move an object, paste, submit — recorded with the full environment state at each
step, so it can be replayed, watched… See the full description on the dataset page: https://huggingface.co/datasets/dbsgh797210/SOLAR.SOLAR-extras
SOLAR extras — the handcraft control, and rendered previews
Companion to dbsgh797210/SOLAR,
which holds the release itself and nothing else. Everything here is secondary to
it, which is why it is not there.
Browse the trajectories →
config
rows
tasks
what it is
handcraft
100
10
trajectories from makers written by hand, as a control
preview
400
400
one rendered picture per RE-ARC task
preview_handcraft
10
10
the same, for handcraft… See the full description on the dataset page: https://huggingface.co/datasets/dbsgh797210/SOLAR-extras.solar-panel-orientationsolar-rl
SolarChain-Eval RL Benchmark Data
This dataset contains the release bundle for SolarChain-Eval: A Physics-Constrained Benchmark for Trustworthy Economic Agents in Decentralized Energy Markets.
The benchmark evaluates autonomous economic governors in decentralized solar-energy markets. It combines city-level photovoltaic generation, peer-to-peer demand, market liquidity, token-burn dynamics, physics-constraint checks, baseline policies, trained RL policies, no-physics ablations… See the full description on the dataset page: https://huggingface.co/datasets/global-nomad-nexus/solar-rl.solar-panels-taxvb
Dataset Card for solar-panels-taxvb
** The original COCO dataset is stored at dataset.tar.gz**
Dataset Summary
solar-panels-taxvb
Supported Tasks and Leaderboards
object-detection: The dataset can be used to train a model for Object Detection.
Languages
English
Dataset Structure
Data Instances
A data point comprises an image and its object annotations.
{
'image_id': 15,
'image': <PIL.JpegImagePlugin.JpegImageFile image… See the full description on the dataset page: https://huggingface.co/datasets/Francesco/solar-panels-taxvb.Solar-Panel-Thermal-Drone-UAV-ImagesGit
This is Thermal Images of solar power plant captured using DJI drone in India.
How to read thermal values from Image:
https://github.com/ManishSahu53/read_thermal_temperature
How to do automated hotspot detection:
https://github.com/ManishSahu53/solarHotspotAnalysis
Sample Images -
)
solar-plants-brazil
🛰️ Solar Plants Brazil
Solar Plants Brazil is a geospatial dataset for binary semantic segmentation of photovoltaic (PV) solar power stations in satellite imagery. It consists of multi-spectral image tiles (including near-infrared) with pixel-level annotations indicating the presence of solar panels. This dataset enables training and evaluating deep learning models that automatically detect solar farm installations from overhead imagery, supporting applications in renewable energy… See the full description on the dataset page: https://huggingface.co/datasets/FederCO23/solar-plants-brazil.AnneStokesThis is a dataset that is based off of the works of Anne Stokes, it's made using Pirsus Artstation which is trained off of SD 1.5 ...the images have been cropped, touched up, and resized to SD 1.5's base resolutions...512x768 and 768x512.
...you should be able to use kohya or dreambooth to train a lora using this.
solar-dust-data-combinedsolar-panel-fault-datasetsolar-panels-IGN-bdorthoA YOLO large model was trained with this dataset on IGN BdOrtho imagery.
The resulted detection has very good results which can be see on the MapRoulette project https://maproulette.org/browse/projects/62887.
The trained model is there : https://huggingface.co/Cyrille37/solar-panels-IGN-bdortho
solarirradiancedatasetImages taken from the Sage Waggle Node's top camera and the solar irradiance values were taken from the Argonne National Laboratory
tower readings. We made sure to exclude night time photos since there is no sun and we exclusively used summer-time photos as we wanted
to stick to a seasonal model that would be able to make estimates more consistently. Furthermore we also eventually downsized the images
original 2000x2000 images to 500x500 images since the training was taking a bit too long when the images were larger.solar-dust-datasets-rawkias-solar-wind
KIAS Solar Wind Dataset
SDO/AIA 193Å FITS 이미지와 시각화 PNG를 포함한 태양풍 예측 데이터셋입니다.
코드, CSV 데이터, 문서는 GitHub 저장소를 참고하세요.
GitHub: mgjeon/kias-solar-wind
데이터셋 구성
폴더
내용
크기
aia193_download/
SDO/AIA 193Å synoptic FITS (일별, 2011–2025)
6.1 GB
aia193_plot/
코로날 홀 탐지 시각화 PNG (일별, 2011–2025)
5.1 GB
CSV 데이터(solar_wind-public.csv, solar_wind-private.csv, solar_wind_data.csv)는 GitHub 저장소에 포함되어 있습니다.
다운로드
# 전체 다운로드
uvx hf download… See the full description on the dataset page: https://huggingface.co/datasets/mingyujeon/kias-solar-wind.solar-time-v1
webXOS Solar Time Studio – 360° Panorama Dataset Sampler
This dataset sample contains equirectangular 360° panoramas of a synthetic solar system, with planetary positions encoded in base‑60 (sexagesimal) time. Each sample includes a time-lapse sequence of full 360° panoramic images and associated orbital parameters.
The SOLAR TIME GENERATOR by webXOS is available to download in the /generator/ folder of this repo.
Sample Structure
panoramas/: equirectangular PNG… See the full description on the dataset page: https://huggingface.co/datasets/webxos/solar-time-v1.solarhive-community-solar-multimodal
SolarHive Community Solar Dataset
Canonical training corpus for the SolarHive family of fine-tuned Gemma 4 models. 1,727 rows (1,713 text + 14 image-grounded).
A combined text + sky-image training corpus for community solar energy intelligence. Built to fine-tune Gemma 4 into an AI energy advisor for residential solar microgrids — answering questions about production, storage, grid mix, weather impact, maintenance scheduling, and cross-source planning, with native… See the full description on the dataset page: https://huggingface.co/datasets/Truthseeker87/solarhive-community-solar-multimodal.solara-dataThis repository serves as a public data cache for my Solara Template application, https://huggingface.co/spaces/cboettig/solara-test
solatium-assetssolar-3d
🌌 3D Solar System Animation – All Planets
This project is a 3D animation of the Solar System built using Python's matplotlib and numpy.It visualizes the orbits of all eight planets around the Sun in an interactive and animated 3D model.
Developed by Eris Dataworks, part of the Berinspa open science and technology initiative.Licensed under the MIT License.
🎯 Features
Saves animation as GIF or MP4 (with fallback to PNG if rendering fails)
Fully open source and easy… See the full description on the dataset page: https://huggingface.co/datasets/erisdataworks/solar-3d.solar_irradiance_dataset_2021_ASIsolaicessolar_irradiance_dataset_2017_SKIPPDsolar_panel_datasetsolar_irradiance_dataset_2011_TSISolar-PV-Clean-Hotspot-Imagessolar_panelsaptitud-mlp-solar