how to annotate a longer text in rel.manual?

2

Is there a reason why you can't split the data into smaller segments? I can imagine that long pieces of text require a lot of scrolling and can make it much harder to annotate.

I sometimes like to use spaCy to preprocess my data, via something like:

import spacy

nlp = spacy.load("en_core_web_md")

# I'm assuming a list/generator of texts loaded in Python
orig_examples = ... 

# This function can then turn them into seperate json blobs with sentences 
def to_sentences(orig_examples):
    for doc in nlp.pipe(orig_examples):
        for sent in doc.sents:
            yield {"text": sent.text}

new_examples = to_sentences(orig_examples)

This uses the sentence splitting property inside of a spaCy Doc object. Might that suffice?