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Add BBOMix to readme

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@@ -10,6 +10,7 @@ This dataset contains hyperparameter optimization (HPO) evaluations from several
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  - yahpo: YAHPO Gym - An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization. Pfisterer F., Schneider S., Moosbauer J., Binder M., Bischl B., 2022
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  - tabrepo: TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications. Salinas D., Erickson N., 2024.
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  - hpob: HPO-B: A Large-Scale Reproducible Benchmark for Black-Box HPO based on OpenML. Arango S., Jomaa H., Wistuba M., Grabocka J., 2021.
 
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  The evaluations can be accessed through [Syne Tune](https://github.com/syne-tune/syne-tune) HPO library by calling the following:
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  - yahpo: YAHPO Gym - An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization. Pfisterer F., Schneider S., Moosbauer J., Binder M., Bischl B., 2022
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  - tabrepo: TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications. Salinas D., Erickson N., 2024.
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  - hpob: HPO-B: A Large-Scale Reproducible Benchmark for Black-Box HPO based on OpenML. Arango S., Jomaa H., Wistuba M., Grabocka J., 2021.
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+ - bbomix: BBOmix: A Tabular Benchmark for Hyperparameter Optimization of Unsupervised Biological Representation Learning. Luca Thale-Bombien, Jan Ewald, Ralf König and Aaron Klein., 2026
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  The evaluations can be accessed through [Syne Tune](https://github.com/syne-tune/syne-tune) HPO library by calling the following:
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