metadata

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. 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

Code here: https://github.com/smith42/astroPT

Upstream catalogue is on Zenodo and paper describing the catalogue is available as Walmsley+2023.