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  ## Description
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  AstroM3Dataset is a time-series astronomy dataset containing photometry, spectra, and metadata features for variable stars.
 
 
 
 
 
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  The dataset includes multiple subsets (`full`, `sub10`, `sub25`, `sub50`) and supports different random seeds (`42`, `66`, `0`, `12`, `123`).
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  Each sample consists of:
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@@ -114,4 +119,13 @@ dataset = load_dataset("MeriDK/AstroM3Dataset", name="sub25_123", trust_remote_c
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  journal={arXiv preprint arXiv:2411.08842},
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  year={2024}
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  }
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- ```
 
 
 
 
 
 
 
 
 
 
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  ## Description
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  AstroM3Dataset is a time-series astronomy dataset containing photometry, spectra, and metadata features for variable stars.
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+ The dataset was constructed by cross-matching publicly available astronomical datasets,
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+ primarily from the ASAS-SN (Shappee et al. 2014) variable star catalog (Jayasinghe et al. 2019)
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+ and LAMOST spectroscopic survey (Cui et al. 2012), along with data from
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+ WISE (Wright et al. 2010), GALEX (Morrissey et al. 2007), 2MASS (Skrutskie et al. 2006) and Gaia EDR3 (Gaia Collaboration et al. 2021).
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+
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  The dataset includes multiple subsets (`full`, `sub10`, `sub25`, `sub50`) and supports different random seeds (`42`, `66`, `0`, `12`, `123`).
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  Each sample consists of:
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  journal={arXiv preprint arXiv:2411.08842},
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  year={2024}
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  }
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+ ```
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+
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+ ## References
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+ 1. Shappee, B. J., Prieto, J. L., Grupe, D., et al. 2014, ApJ, 788, 48, doi: 10.1088/0004-637X/788/1/48
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+ 2. Jayasinghe, T., Stanek, K. Z., Kochanek, C. S., et al. 2019, MNRAS, 486, 1907, doi: 10.1093/mnras/stz844
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+ 3. Cui, X.-Q., Zhao, Y.-H., Chu, Y.-Q., et al. 2012, Research in Astronomy and Astrophysics, 12, 1197, doi: 10.1088/1674-4527/12/9/003
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+ 4. Wright, E. L., Eisenhardt, P. R. M., Mainzer, A. K., et al. 2010, AJ, 140, 1868, doi: 10.1088/0004-6256/140/6/1868
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+ 5. Morrissey, P., Conrow, T., Barlow, T. A., et al. 2007, ApJS, 173, 682, doi: 10.1086/520512
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+ 6. Skrutskie, M. F., Cutri, R. M., Stiening, R., et al. 2006, AJ, 131, 1163, doi: 10.1086/498708
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+ 7. Gaia Collaboration, Brown, A. G. A., et al. 2021, AAP, 649, A1, doi: 10.1051/0004-6361/202039657