I have been using prodi.gy and spacy for a while now and I must thank you for building such an awesome product! It has really made coding, debugging and annotating a lot easier and more organised than ever for NLP tasks.
I had a small issue concerning training using train recipie for ner models. Have a look at the screenshot below:
The training happens smoothly no issue. However look at the stats of this dataset. I have 1000 annotations which are all having the answer key "accept". However, when I start building a model, I can see that there's only 837 samples available for training. What is done with the remaining 163 samples? Do they never appear in the training; and if they're truncated, why so?
Thanks & Regards,