Datasets:
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---
license: cc-by-sa-4.0
size_categories:
- 1M<n<10M
dataset_info:
- config_name: default
features:
- name: image
dtype: image
- name: image_crop
dtype: image
- name: dr8_id
dtype: string
- name: galaxy_size
dtype: int64
splits:
- name: test
num_bytes: 12057249781.25
num_examples: 86471
- name: validation
num_bytes: 12065699086.25
num_examples: 86499
- name: train
num_bytes: 1181934533243.5
num_examples: 8474566
download_size: 1206114375284
dataset_size: 1206057482111.0
- config_name: v1.0
features:
- name: image
dtype: image
- name: dr8_id
dtype: string
splits:
- name: train
num_bytes: 959387460144.3469
num_examples: 8474566
- name: test
num_bytes: 9785671701.822557
num_examples: 86471
- name: validation
num_bytes: 9798204502.80013
num_examples: 86499
download_size: 982501453040
dataset_size: 978971336348.9696
configs:
- config_name: default
data_files:
- split: test
path: with_crops/test-*
- split: validation
path: with_crops/validation-*
- split: train
path: with_crops/train-*
- config_name: v1.0
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
tags:
- astronomy
---
# Galaxies for training astroPT
Here we have ~8.5 million galaxy cutouts from the [DESI legacy survey DR8](https://www.legacysurvey.org/dr8/description/).
The cut outs are 512x512 pixel jpg images centred on the galaxy source.
I've split away 1% of the images into a test set, and 1% into a validation set.
The remaining 98% of the images comprise the training set.
There is also accompanying metadata!
The metadata is in parquet format in the root dir of this repo.
You can link the metadata with the galaxies via their dr8_id.
## Useful links
Paper here: [https://arxiv.org/abs/2405.14930](https://arxiv.org/abs/2405.14930)
Models here: [https://huggingface.co/Smith42/astroPT](https://huggingface.co/Smith42/astroPT)
Code here: [https://github.com/smith42/astroPT](https://github.com/smith42/astroPT)
Upstream catalogue is [on Zenodo](https://zenodo.org/records/8360385) and paper describing the catalogue is available as [Walmsley+2023](https://doi.org/10.1093/mnras/stad2919).
If you find this dataset useful please consider citing the sources below 🚀🚀:
```
@article{ref_dey2019,
author = {Dey, A. and Schlegel, D. J. and Lang, D. and Blum, R. and Burleigh, K. and Fan, X. and Findlay, J. R. and Finkbeiner, D. and Herrera, D. and Juneau, S. and others},
title = {{Overview of the DESI Legacy Imaging Surveys}},
journal = {Astronomical Journal},
volume = {157},
number = {5},
pages = {168},
year = {2019},
issn = {1538-3881},
publisher = {The American Astronomical Society},
doi = {10.3847/1538-3881/ab089d}
}
```
```
@article{ref_walmsley2023,
author = {Walmsley, M. and G{\ifmmode\acute{e}\else\'{e}\fi}ron, T. and Kruk, S. and Scaife, A. M. M. and Lintott, C. and Masters, K. L. and Dawson, J. M. and Dickinson, H. and Fortson, L. and Garland, I. L. and others},
title = {{Galaxy Zoo DESI: Detailed morphology measurements for 8.7M galaxies in the DESI Legacy Imaging Surveys}},
journal = {Monthly Notices of the Royal Astronomical Society},
volume = {526},
number = {3},
pages = {4768--4786},
year = {2023},
issn = {0035-8711},
publisher = {Oxford Academic},
doi = {10.1093/mnras/stad2919}
}
```
```
@article{ref_smith2024,
author = {Smith, M. J. and Roberts, R. J. and Angeloudi, E. and Huertas-Company, M.},
title = {{AstroPT: Scaling Large Observation Models for Astronomy}},
journal = {ArXiv e-prints},
year = {2024},
eprint = {2405.14930},
doi = {10.48550/arXiv.2405.14930}
}
``` |