datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Surya-bench-solarwind
Solar Wind Forecasting Dataset
Dataset Summary
This dataset provides hourly solar wind plasma and interplanetary magnetic field (IMF) parameters at L1, derived from NASA’s OMNI dataset. The primary forecasting target is the solar wind speed (V), while additional parameters are included for completeness:
Solar wind speed (V)
IMF Bx (GSE)
IMF By (GSM)
IMF Bz (GSM)
Proton number density (N)
The dataset is structured for machine learning experiments, particularly… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/Surya-bench-solarwind.nasdaq_datasurya-bench-ar-segmentation
A Dataset of Binary Maps of Active Regions with Polarity Inversion Lines
Dataset Summary
This dataset provides hourly binary segmentation maps (4096×4096 resolution) derived from Solar Dynamics Observatory (SDO) / Helioseismic and Magnetic Imager (HMI) line-of-sight magnetograms. The maps highlight regions containing Active Regions (ARs) and Polarity Inversion Lines (PILs). The dataset spans observations from May 13, 2010 to December 31, 2024 and is intended for image… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/surya-bench-ar-segmentation.nasa-cmapss-rul
Modified CMAPSS Dataset (Turbofan Engine Degradation)
📘 Description
This dataset is a modified version of the NASA C-MAPSS (Commercial Modular Aero-Propulsion System Simulation) turbofan engine degradation simulation dataset. The modification was created by our team as part of a submission for RISTEK UI Datathon 2025, in conjunction with the predictive modeling work we developed.
Each entry in this dataset corresponds to one engine's operating cycle. Engines begin with… See the full description on the dataset page: https://huggingface.co/datasets/penikmatrumput/nasa-cmapss-rul.NASA_Nearest_Earth_Objects_1910-2024CONTEXT:
There are many dangerous bodies in space, one of them is N.E.O. - "Nearest Earth Objects". Some such bodies really pose a danger to the planet Earth, NASA classifies them as "is_hazardous". This dataset contains ALL NASA observations of similar objects from 1910 to 2024!!!
There are 338,199 records of N.E.O. in the Dataset!
Try to predict "is_hazardous" as accurately as possible! (otherwise we will not be ready for an asteroid attack)
SOURCES:
NASA Open API: https://api.nasa.gov/… See the full description on the dataset page: https://huggingface.co/datasets/IvanSher/NASA_Nearest_Earth_Objects_1910-2024.nasa-smd-IR-benchmark
NASA-IR benchmark
NASA SMD and IBM Research developed a domain-specific information retrieval benchmark, NASA-IR, spanning almost 500 question-answer pairs related to the Earth science, planetary science, heliophysics, astrophysics, and biological physical sciences domains. Specifically, we sampled a set of 166 paragraphs from AGU, AMS, ADS, PMC, and PubMed and manually annotated with 3 questions that are answerable from each of these paragraphs, resulting in 498 questions. We used… See the full description on the dataset page: https://huggingface.co/datasets/nasa-impact/nasa-smd-IR-benchmark.euv-spectra
Solar EUV Spectra Modeling Dataset
Dataset Summary
This dataset provides time-aligned Extreme Ultraviolet (EUV) irradiance spectra from NASA’s SDO/EVE (Extreme Ultraviolet Variability Experiment) instrument. This dataset enables machine learning models to learn from and predict EUV spectral behavior driven by solar dynamics. It addresses the need for high-resolution, calibrated spectral data paired with physics-based contextual input. It is designed for image-to-spectra… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/euv-spectra.nasa-turbofan-degradationOriginal source:
https://data.nasa.gov/Aerospace/CMAPSS-Jet-Engine-Simulated-Data/ff5v-kuh6/about_data
Example analysis:
https://www.kaggle.com/code/carlkirstein/predictive-maintenance-nasa-turbofan-regression/notebook
Use the "cycle" column as the relative time index (operational cycle of the engine in the "engine" column).
[From "readme.txt" in the original source]
Experimental Scenario
Data sets consists of multiple multivariate time series. Each data set is further divided into… See the full description on the dataset page: https://huggingface.co/datasets/nominal-io/nasa-turbofan-degradation.surya-bench-flare-forecasting
Full-disk Solar Flare Forecasting Dataset
Dataset Summary
This dataset provides labels for solar flare forecasting derived from NOAA GOES flare events from May 2010 to December 2024. Labels are constructed using a 24h rolling prediction window sampled at an hourly cadence. Each window is annotated with both max GOES class (based on peak X-ray flux) and cumulative flare index.
Two derived binary labels are included for forecasting tasks:
label_max: 1 if the maximum… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/surya-bench-flare-forecasting.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.surya-bench-coronal-extrapolation
Coronal Field Extrapolation Dataset
Dataset Summary
This dataset contains spherical harmonic coefficients of the coronal magnetic potential generated by emulating the physics-based ADAPT-WSA PFSS (Potential Field Source Surface) code, driven by SDO/HMI solar magnetogram observations. The target spherical harmonic coefficients represent the magnetic potential between the photosphere and the source surface (set to 2.51 Rs).Each file also contains additional variables from… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/surya-bench-coronal-extrapolation.ar_emergence
Active Region Emergence Dataset
Dataset Summary
The Active Region Emergence Dataset is designed to support research on the early detection of solar Active Regions (ARs) and the development of predictive models for space weather. By characterizing the evolution of ARs before, during, and after their emergence, the dataset enables studies of pre-emergence signatures and early warning methods.
This dataset is derived from NASA’s Solar Dynamics Observatory (SDO) using… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/ar_emergence.nasa-science-repos-sme-benchmark
NASA Science Repos SME Benchmark
A benchmark dataset for evaluating retrieval systems on NASA science repository discovery tasks. This dataset contains expert queries, a corpus of NASA science GitHub repositories, and relevance judgments.
Dataset Structure
Files
├── corpus.jsonl # 5,264 repositories with full metadata
├── queries.jsonl # 219 expert queries
└── qrels/
├── earth.tsv # Earth Science relevance judgments (162)
├──… See the full description on the dataset page: https://huggingface.co/datasets/nasa-impact/nasa-science-repos-sme-benchmark.ouhd-l-online-urdu-nastaliq-handwriting
OUHD-L: Online Urdu Nastaliq Handwriting — Line Pen Trajectories
Unmodified mirror. This repository re-hosts the OUHD-L v1.0 core release
exactly as published on Zenodo, byte-for-byte. Nothing has been added to or
removed from the data. It exists only to provide an alternative download
endpoint. The canonical source and citation is the Zenodo record:
https://zenodo.org/records/20642162 — DOI
10.5281/zenodo.20642162, version 1.0.0.
Overview
2,403 handwritten Urdu… See the full description on the dataset page: https://huggingface.co/datasets/saad2002/ouhd-l-online-urdu-nastaliq-handwriting.Nasdaq_full_1_day_2007_to_2023nasa-cmapss-rul
Modified CMAPSS Dataset (Turbofan Engine Degradation)
📘 Description
This dataset is a modified version of the NASA C-MAPSS (Commercial Modular Aero-Propulsion System Simulation) turbofan engine degradation simulation dataset. The modification was created by our team as part of a submission for RISTEK UI Datathon 2025, in conjunction with the predictive modeling work we developed.
Each entry in this dataset corresponds to one engine's operating cycle. Engines begin with… See the full description on the dataset page: https://huggingface.co/datasets/mdrafsanisdani/nasa-cmapss-rul.nasa-science-code-benchmark-v0.1.1
NASA Code Retrieval Benchmark v0.1.1
This repository is an updated version of the NASA Code Retrieval Benchmark. It provides a code retrieval benchmark based on code from 7 programming languages sourced from NASA's GitHub repositories.
What's New in v0.1.1?
v0.1.1 introduces a hierarchical structure and official Hugging Face dataset configurations. This allows you to evaluate models specifically by language or by query category without data redundancy in the file system.… See the full description on the dataset page: https://huggingface.co/datasets/nasa-impact/nasa-science-code-benchmark-v0.1.1.nasa-cmapss-rul
Modified CMAPSS Dataset (Turbofan Engine Degradation)
📘 Description
This dataset is a modified version of the NASA C-MAPSS (Commercial Modular Aero-Propulsion System Simulation) turbofan engine degradation simulation dataset. The modification was created by our team as part of a submission for RISTEK UI Datathon 2025, in conjunction with the predictive modeling work we developed.
Each entry in this dataset corresponds to one engine's operating cycle. Engines begin with… See the full description on the dataset page: https://huggingface.co/datasets/kemhug11/nasa-cmapss-rul.nasa-cmapss-rul
Modified CMAPSS Dataset (Turbofan Engine Degradation)
📘 Description
This dataset is a modified version of the NASA C-MAPSS (Commercial Modular Aero-Propulsion System Simulation) turbofan engine degradation simulation dataset. The modification was created by our team as part of a submission for RISTEK UI Datathon 2025, in conjunction with the predictive modeling work we developed.
Each entry in this dataset corresponds to one engine's operating cycle. Engines begin with… See the full description on the dataset page: https://huggingface.co/datasets/saediscrazy/nasa-cmapss-rul.nasdaqnasa-science-code-benchmark-v0.1
NASA Code Retrieval Benchmark v0.1
Note: This dataset has been superseded by nasa-impact/nasa-science-code-benchmark-v0.1.1, which introduces a hierarchical structure, official Hugging Face dataset configurations, and evaluation by NASA science division. Please use v0.1.1 for new work.
This dataset provides a code retrieval benchmark based on code from 7 programming languages (Python, C, C++, Java, JavaScript, Fortran, and Matlab) sourced from NASA's GitHub repositories. It serves… See the full description on the dataset page: https://huggingface.co/datasets/nasa-impact/nasa-science-code-benchmark-v0.1.nasa-science-github-repos
NASA Science GitHub Repositories
A curated index of 5,264 GitHub repositories relevant to the NASA Science Mission
Directorate (SMD), spanning five science divisions: Earth Science, Astrophysics,
Planetary Science, Heliophysics, and Biological & Physical Sciences.
This dataset is designed to support research on information retrieval and
discoverability of open-source scientific software.
Licensing and Intellectual Property
This dataset is released under CC-BY-4.0 and… See the full description on the dataset page: https://huggingface.co/datasets/nasa-impact/nasa-science-github-repos.power_nasa_climatologynasa-ads-2nasdaq-externalNasdaqnasa_milling_datasetnasa-ads-1Multi-label-Prompt-Dataset
Multi-label Prompt Dataset
A multi-label prompt classification corpus designed for training lightweight, CPU-efficient machine learning models (such as CatBoost, LightGBM, and FastText) for prompt complexity estimation, task intent classification, output token length forecasting, and dynamic LLM routing.
Dataset Summary
Total Unique Samples: 1,859 deduplicated prompts
Number of Classes: 23 multi-label tags across 4 semantic dimensions
Language: English (en)… See the full description on the dataset page: https://huggingface.co/datasets/Nasim435/Multi-label-Prompt-Dataset.NASA_Complete