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---
dataset_info:
features:
- name: image
dtype: image
- name: dr8_id
dtype: string
splits:
- name: train
num_bytes: 955808117524.608
num_examples: 8503519
- name: test
num_bytes: 9779283952.9
num_examples: 86770
- name: validation
num_bytes: 9761016961.73
num_examples: 86770
download_size: 982502783801
dataset_size: 975348418439.238
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
license: cc-by-sa-4.0
tags:
- astronomy
size_categories:
- 1M<n<10M
---
# 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
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). |