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I am new to the data science field. I need to create dataset which consists of n inputs (vectors of size 5) and n outputs (vectors of size > 10,000). These vectors are generated using c++ code. What is the best way to store them, such that they can be easily readable in python and use to train tensorflow/keras network?

I am looking for recommendation on format and tools to be used.

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  • $\begingroup$ The easiest way is to store them as text file, for instance CSV. $\endgroup$
    – Erwan
    May 17, 2021 at 21:47

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