LSTM - How to prepare train from a dataset which contains multiple observations for different events
It's just several time-series with same data. You should make preprocessing (if it's neccessary) and can provide as an input just for one RNN layes.
for example

model.add(GRU(units=512,return_sequence=True,input_shape=(None,number_of_inputs))