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hi everyone welcome back to my YouTube channel so today we are going to see how we can annotate the data for training a custom ner uh Pipeline with Spacey 3.0 so Ive made a separate video to train the ner with 3.0 so there was some feedback related to how we can effectively annotate the data as well so thats the reason why Im making this particular video so in this particular uh tutorial I am going to explain a simple tool that can be used to annotate the data so this is the file format which we need to have for the ner training so like in my previous notebook Ive already mentioned how we can actually train so let me just uh take that particular example and just have a quick recap so the first step of this entire process is to train the data and I have also attached the link to Prodigy so this particular training data is having a particular format where it is in a list and inside a list there is a tuple and inside uh that Tuple there is a there is a dictionary followed by a list f