semvec/pypi-packages huggingface dataset:
ontonotes-5-parsing 0.0.5
Ontonotes-5-parsing: parser of Ontonotes 5.0 to transform this corpus to a simple JSON format.
License: Apache License Version 2.0
Keywords: ontonotes,ontonotes5,ontonotes-5,ner,nlp,multi-lingual,named-entity-recognizer,named-entity-recognition

Ontonotes-5-Parsing
===================

A simple parser of the famous Ontonotes 5 dataset
https://catalog.ldc.upenn.edu/LDC2013T19

This dataset is very useful for experiments with NER, i.e. Named Entity
Recognition. Besides, Ontonotes 5 includes three languages (English,
Arabic, and Chinese), and this fact increases interest to use it in
experiments with multi-lingual NER. But the source format of Ontonotes 5
is very intricate, in my view. Conformably, the goal of this project is
the creation of a special parser to transform Ontonotes 5 into a simple
JSON format. In this format, each annotated sentence is represented as
a dictionary with five keys: text, morphology, syntax, entities, and
language. In their's turn, morphology, syntax, and entities are
specified as dictionaries too, where each dictionary describes labels
(part-of-speech labels, syntactical tags, or entity classes) and their
bounds in the corresponded text.

You can read more detailed information about this Ontonotes 5 parser
in the small documentation https://github.com/nsu-ai/ontonotes-5-parsing/blob/master/readme.md