metadata

license: cc-by-4.0
pretty_name: Raw space-based images from the Hubble Space Telescope
tags:
  - astronomy
  - compression
  - images

SBI-16-2D Dataset

SBI-16-2D is a dataset which is part of the AstroCompress project. It contains imaging data assembled from the Hubble Space Telescope (HST). Describe data format

Usage

You first need to install the datasets and astropy packages:

pip install datasets astropy

There are two datasets: tiny and full, each with train and test splits. The tiny dataset has 2 2D images in the train and 1 in the test. The full dataset contains all the images in the data/ directory.

Local Use (RECOMMENDED)

Alternatively, you can clone this repo and use directly without connecting to hf:

git clone https://huggingface.co/datasets/AstroCompress/SBI-16-2D

To pull all data files:

git lfs pull

Then cd SBI-16-3D and start python like:

from datasets import load_dataset
dataset = load_dataset("./SBI-16-2D.py", "tiny", data_dir="./data/")
ds = dataset.with_format("np")

Now you should be able to use the ds variable like:

ds["test"][0]["image"].shape # -> (TBD)

Note of course that it will take a long time to download and convert the images in the local cache for the full dataset. Afterward, the usage should be quick as the files are memory-mapped from disk.

Use from Huggingface Directly

To directly use from this data from Huggingface, you'll want to log in on the command line before starting python:

huggingface-cli login

import huggingface_hub
huggingface_hub.login(token=token)

Then in your python script:

from datasets import load_dataset
dataset = load_dataset("AstroCompress/SBI-16-2D", "tiny")
ds = dataset.with_format("np")