I am using the nightly version 1.11.0a8.
I use prodigy train recipe for training an NER model using a small dataset. So I have used -es flag to split train and evaluation sets.
Now, I want to visualize and ab-test the model-best on the dev set.
However, I don't know where to find or how to export the randomly split dataset that was used by prodigy train recipe.
Is it correct to assume that if I used the same ratio value for -es flag, and then use same ratio with data-to-spacy recipe to export the same data then I would get the exact same dev set?
In other words, do prodigy train and data-to-spacy use the same seed for randomly splitting the prodigy dataset? If not, what workflow would you recommend for training with prodigy datasets?