text_plain_output_1.png
from spacy.tokens import DocBin

import spacy

train_bin = DocBin().from_disk('/kaggle/input/ir-silver-data/dev_data.spacy')

nlp = spacy.load('/kaggle/input/scispacy-model/en_core_sci_sm')

docs = train_bin.get_docs(nlp.vocab)
for doc in docs:
    for ent in doc.ents:
        print(ent, ent.label_)
    break