datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
autotrain-data-galaxy_classification
AutoTrain Dataset for project: galaxy_classification
Dataset Description
This dataset has been automatically processed by AutoTrain for project galaxy_classification.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<256x256 RGB PIL image>",
"target": 0
},
{
"image": "<256x256 RGB PIL image>",
"target": 0
}]… See the full description on the dataset page: https://huggingface.co/datasets/Xanadu00/autotrain-data-galaxy_classification.galaxy10_decals
Dataset Card for "galaxy10_decals"
Galaxy10 DECals is a dataset contains 17736 256x256 pixels colored galaxy images separated in 10 classes.
Galaxy10 DECals images come from DESI Legacy Imaging Surveys which includes the Beijing-Arizona Sky Survey (BASS), the DECam Legacy Survey (DECaLS) and the Mayall z-band Legacy Survey and labels come from Galaxy Zoo.
Dataset create from
https://astronn.readthedocs.io/en/latest/galaxy10.html
https://github.com/henrysky/Galaxy10… See the full description on the dataset page: https://huggingface.co/datasets/matthieulel/galaxy10_decals.galaxy-zoo-dataset
Galaxy Morphological Classification (Derived from Galaxy Zoo)
Dataset Summary
This dataset is designed for Galaxy Morphological Classification tasks, specifically tailored for training deep learning models such as Efficient Vision Transformers (ViT).
The dataset contains galaxy images and their corresponding morphological labels (8 classes). The underlying images and ground-truth classifications are derived from the Galaxy Zoo DECaLS project (Walmsley et al., 2022). The… See the full description on the dataset page: https://huggingface.co/datasets/mrJordi0/galaxy-zoo-dataset.galaxy-chirality-catalog
DESI Legacy Galaxy Chirality Catalog
This dataset accompanies the current Paper IV manuscript, An Observed-Label Chirality-Dipole Null in 949,584 High-Confidence DESI Spirals and an 8.5-Million-Galaxy Catalog.
The primary high-confidence observed-label statistic is consistent with zero under fixed-occupancy label randomization (z=0.7053169638, one-sided empirical-rank p=0.2246775322). This is not a calibrated true-spin, physical-amplitude, or primordial-parity bound.… See the full description on the dataset page: https://huggingface.co/datasets/bamfai/galaxy-chirality-catalog.SDSS-GalaxyZoo2-Preprocessed
Galaxy Zoo 2 - Preprocessed Dataset
Preprocessed galaxy images from SDSS with Galaxy Zoo 2 morphological classifications, ready for deep learning.
📁 Dataset Structure
├── labels.csv # All ~239K galaxy labels (101 MB)
├── labels_sampled.csv # 25K stratified sample (11 MB)
├── preprocessed_69x69.zip # Full dataset at 69×69 resolution (2.8 GB)
├── preprocessed_224x224.zip # Full dataset at 224×224 resolution (3.14 GB)
├──… See the full description on the dataset page: https://huggingface.co/datasets/marwa000000000/SDSS-GalaxyZoo2-Preprocessed.galaxy-zoo-dataset
Galaxy Morphological Classification (Derived from Galaxy Zoo)
Dataset Summary
This dataset is designed for Galaxy Morphological Classification tasks, specifically tailored for training deep learning models such as Efficient Vision Transformers (ViT).
The dataset contains galaxy images and their corresponding morphological labels (8 classes). The underlying images and ground-truth classifications are derived from the Galaxy Zoo DECaLS project (Walmsley et al., 2022). This… See the full description on the dataset page: https://huggingface.co/datasets/Greate123/galaxy-zoo-dataset.index-cards-cas-galapagos-stewart-specimens
Alban Stewart's Galápagos Expedition Specimen Cards (CAS Archives, 1905–1906)
1,059 specimen index cards from the California Academy of Sciences Archives,
documenting Alban Stewart's botanical specimens collected on the 1905–1906
California Academy of Sciences Galápagos Expedition. One card per specimen with
species, locality on the islands, collection date and field notes; companion to
Stewart's expedition journal.
Harvested from the 6 IA items
csfa788562626 +
csfa788562626Alpha +… See the full description on the dataset page: https://huggingface.co/datasets/biglam/index-cards-cas-galapagos-stewart-specimens.galaxyzoo10_legacysurvey
Galaxy Zoo 10 × Legacy Survey DR9
Dataset Summary
This dataset contains 7,864 galaxies from the
Galaxy Zoo 10 morphology catalogue,
cross-matched with Legacy Survey DR9 imaging.
Each sample includes:
A 4-channel 160×160 pixel image (Legacy Survey grz + WISE W1),
stored as raw calibrated flux (nanomaggies). Normalization is left to the training pipeline.
10-class morphology label (gz10_label, gz10_class_name)
Photometric scalars: flux densities (g, r, i, z, W1… See the full description on the dataset page: https://huggingface.co/datasets/OneAstronomy/galaxyzoo10_legacysurvey.galaxy-vit-gz-desi-dirichlet-predictions
Galaxy-ViT — GZ DESI Dirichlet predictions
Per-galaxy Dirichlet-Multinomial concentration parameters (α) for the
10-question / 34-answer Galaxy Zoo DESI decision tree, predicted by a
Zoobot ConvNeXt-nano encoder finetuned with a Dirichlet-Multinomial
head on the DR8 subset of the
mwalmsley/gz_desi_wds
labeled split.
Dataset summary
Rows
61,440
Columns
36 (key, dr8_id, alpha_0 … alpha_33)
Format
Apache Parquet
File size
~16 MB
Source images
DECaLS DR8… See the full description on the dataset page: https://huggingface.co/datasets/roth1414/galaxy-vit-gz-desi-dirichlet-predictions.autotrain-data-galaxy_classification
AutoTrain Dataset for project: galaxy_classification
Dataset Description
This dataset has been automatically processed by AutoTrain for project galaxy_classification.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<256x256 RGB PIL image>",
"target": 0
},
{
"image": "<256x256 RGB PIL image>"… See the full description on the dataset page: https://huggingface.co/datasets/VISHALMEENAMEENA/autotrain-data-galaxy_classification.autotrain-data-galaxy_classification
AutoTrain Dataset for project: galaxy_classification
Dataset Description
This dataset has been automatically processed by AutoTrain for project galaxy_classification.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<256x256 RGB PIL image>",
"target": 0
},
{
"image": "<256x256 RGB PIL image>"… See the full description on the dataset page: https://huggingface.co/datasets/JayjitSingha/autotrain-data-galaxy_classification.Galaxy10DECaLS.tsv
Dataset Card for Galaxy10DECals.tsv
Dataset Description
Dataset Summary
Galaxy10DECaLS is a curated image classification dataset with 1,774 galaxy images across 10 classes. It evaluates models’ ability to classify astronomical objects based on visual features.
Dataset Details
Image Source: All images are derived from the DESI Legacy Imaging Surveys, which encompasses three sub-surveys:
Beijing-Arizona Sky Survey (BASS)
DECam Legacy Survey (DECaLS)… See the full description on the dataset page: https://huggingface.co/datasets/YuJJJJin/Galaxy10DECaLS.tsv.autotrain-data-galaxy_classification
AutoTrain Dataset for project: galaxy_classification
Dataset Description
This dataset has been automatically processed by AutoTrain for project galaxy_classification.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<256x256 RGB PIL image>",
"target": 0
},
{
"image": "<256x256 RGB PIL image>"… See the full description on the dataset page: https://huggingface.co/datasets/Arp4nj4iswal/autotrain-data-galaxy_classification.