Question: I am looking for some relatively simple data sets for testing and comparing different training methods for artificial neural networks. I would like data that won't take too much pre-processing to turn it into my input format of a list of inputs and outputs (normalized to 0-1). Any links appreciated.

Answer: 
<https://archive.ics.uci.edu/ml> is the University of California Irvine repository of machine learning datasets. It's a really great resource, and I believe that they are all in CSV files.
You could find some interesting datasets from NLP, NER to Image Classification, Bounding here:
<https://dataturks.com/projects/trending>