Is there a simple real-valued time-series dataset on which a vanilla RNN model can be trained. With "very simple" I mean only two to four real-valued inputs per time step and a single real-valued output per time-step.

Background: I am doing research in the intersection of machine learning and formal methods. To test a new technique for formally verifying RNNs, we need to start with a quite simple setup.



You can take a look at some of these datasets in UCI:


These are quite straight forward, although they might contain more columns that 4 or 5. But they are quite simple.

Or you can take a look at this:


This is also based on UCI data.

Overall you can take a look at datasets available on Kaggle, you can probably find something there.


Hope this helps.


Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.