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I am trying to create a Quantum Classifier and would like to try to test it out using a Qiskit ML dataset. However, I only know of the breast cancer dataset and I would like to try it on another dataset.

On another note, I am also curious if the Qiskit ML datasets are usable for classical machine learning, for example, using TensorFlow.

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Qiskit uses the datasets provided by sklearn and all the ones built into Qiskit are available here. You could follow how these methods work to load your own dataset if you wanted to.

You should be able to use the return from the call to the dataset directly for classical machine learning methods.

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