datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.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.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.NASADEM_DatasetforControlnetnasa-apod
NASA Astronomy Picture of the Day (APOD)
Every day since June 16, 1995, NASA has published one astronomy image with a short explanation written by a professional astronomer. This dataset contains the full archive — 11,342 entries spanning 31 years (1995–2026).
Source
API: NASA APOD API
Data refreshed: periodically via NASA's public API
Notes
copyright is null for ~50% of entries — these are public domain NASA images. The remainder are credited to… See the full description on the dataset page: https://huggingface.co/datasets/Hari5115/nasa-apod.clr_mujoco_datasetThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "omy",
"total_episodes": 2,
"total_frames": 1161,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 20,
"splits": {
"train": "0:2"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/msavchen-nasa/clr_mujoco_dataset.clr_motion_planning_hw_8t2i_tiny_nasa
Dataset Card for t2i_tiny_nasa
NASA Image Dataset
This dataset is created using images obtained from NASA's official image library. The dataset contains a collection of images along with their corresponding textual descriptions (prompts). This dataset can be used for various applications, including image-to-text tasks, text-to-image generation, and other AI-based image analysis studies.
Dataset Information
Source: NASA Image Library
Content: Images and… See the full description on the dataset page: https://huggingface.co/datasets/kaangml/t2i_tiny_nasa.message-decoding-words-r1clr_motion_planning_datasetclr_motion_planning_hw_6digit-recognition-r1imnet1k_proboscis_monkey_Nasalis_larvatusclr_motion_planning_hw_v4clr_motion_planning_v3clr_motion_planning_hw_v1clr_motion_planning_hw_4clr_motion_planning_3nas_output_newclr_motion_planning_hw_2