Nested named entity recognition


I would love to train a model on a nested NER dataset, and I would like to ask if someone has any experience with how huggingface libraries interact with it and if it will even output the desired result. For example, if a person’s name “John Doe” is characterized as:
John Doe - P(person)
John - PF(person first name)
Doe - PS(person surname)
With BIO format John is B-P / B-PF and Doe I-P / B-PS.

If anyone reading this would be interested, I solved it using this discussion

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