AstroM3Dataset

Description

AstroM3Dataset is a time-series astronomy dataset containing photometry, spectra, and metadata features for variable stars. The dataset includes multiple subsets (full, sub10, sub25, sub50) and supports different random seeds (42, 66, 0, 12, 123). Each sample consists of:

• Photometry: Light curve data of shape (N, 3) (time, flux, flux_error).
• Spectra: Spectra observations of shape (M, 3) (wavelength, flux, flux_error).
• Metadata: Auxiliary features of shape (38,).
• Label: The class name as a string.

Corresponding paper and code

• Paper: AstroM³: A self-supervised multimodal model for astronomy
• Code Repository: GitHub: AstroM³

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Subsets and Seeds

AstroM3Dataset is available in different subset sizes:

• full: Entire dataset
• sub50: 50% subset
• sub25: 25% subset
• sub10: 10% subset

Each subset is sampled from the respective train, validation, and test splits of the full dataset.
For reproducibility, each subset is provided with different random seeds:

• 42, 66, 0, 12, 123

Data Organization

The dataset is organized as follows:

AstroM3Dataset/
├── photometry.zip             # Contains all photometry light curves
├── utils/
│   ├── parallelzipfile.py     # Zip file reader to open photometry.zip
├── spectra/                   # Spectra files organized by class
│   ├── EA/
│   │   ├── file1.dat
│   │   ├── file2.dat
│   │   ├── ...
│   ├── EW/
│   ├── SR/
│   ├── ...
├── splits/                    # Train/val/test splits for each subset and seed
│   ├── full/
│   │   ├── 42/
│   │   │   ├── train.csv
│   │   │   ├── val.csv
│   │   │   ├── test.csv
│   │   │   ├── info.json      # Contains feature descriptions and preprocessing info
│   │   ├── 66/
│   │   ├── 0/
│   │   ├── 12/
│   │   ├── 123/
│   ├── sub10/
│   ├── sub25/
│   ├── sub50/
│── AstroM3Dataset.py          # Hugging Face dataset script

Usage

To load the dataset using the Hugging Face datasets library:

from datasets import load_dataset

# Load the default full dataset with seed 42
dataset = load_dataset("MeriDK/AstroM3Dataset", trust_remote_code=True)

The default configuration is full_42 (entire dataset with seed 42). To load a specific subset and seed, use {subset}_{seed} as the name:

from datasets import load_dataset

# Load the 25% subset sampled using seed 123
dataset = load_dataset("MeriDK/AstroM3Dataset", name="sub25_123", trust_remote_code=True)

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Citation

If you find this dataset usefull, please cite:

@article{rizhko2024astrom,
  title={AstroM $\^{} 3$: A self-supervised multimodal model for astronomy},
  author={Rizhko, Mariia and Bloom, Joshua S},
  journal={arXiv preprint arXiv:2411.08842},
  year={2024}
}