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README.md
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- classification
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arxiv:
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- arXiv:2411.08842
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configs:
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- config_name: sub10_0
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data_files:
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- split: train
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path: sub10_0/train-*
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- split: validation
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path: sub10_0/validation-*
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- split: test
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path: sub10_0/test-*
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dataset_info:
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config_name: sub10_0
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features:
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- name: photometry
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sequence:
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sequence: float32
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length: 3
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- name: spectra
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sequence:
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sequence: float32
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length: 3
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- name: metadata
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sequence: float32
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length: 38
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- name: label
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dtype: string
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splits:
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- name: train
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num_bytes: 91722134
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num_examples: 1660
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- name: validation
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num_bytes: 15861831
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num_examples: 210
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- name: test
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num_bytes: 10997882
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num_examples: 220
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download_size: 106707527
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dataset_size: 118581847
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---
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# AstroM3Dataset
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- Paper: [AstroM<sup>3</sup>: A self-supervised multimodal model for astronomy](https://arxiv.org/abs/2411.08842)
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- Code Repository: [GitHub: AstroM<sup>3</sup>](https://github.com/MeriDK/AstroM3/)
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## Citation
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If you find this dataset usefull, please cite
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```bibtex
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@article{rizhko2024astrom,
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title={AstroM $\^{} 3$: A self-supervised multimodal model for astronomy},
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- classification
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arxiv:
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- arXiv:2411.08842
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---
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# AstroM3Dataset
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- Paper: [AstroM<sup>3</sup>: A self-supervised multimodal model for astronomy](https://arxiv.org/abs/2411.08842)
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- Code Repository: [GitHub: AstroM<sup>3</sup>](https://github.com/MeriDK/AstroM3/)
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- Processed Data: [MeriDK/AstroM3Processed](https://huggingface.co/datasets/MeriDK/AstroM3Processed/)
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---
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---
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## Citation
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🤗 If you find this dataset usefull, please cite our paper 🤗
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```bibtex
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@article{rizhko2024astrom,
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title={AstroM $\^{} 3$: A self-supervised multimodal model for astronomy},
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