code: def corpus():
      records = DATASET.records(
          speaker_name={"Bernie Sanders"}, limit=10
      )
      corpus = Corpus("en_core_web_sm", data=records)
      return corpus
  
imports: import numpy
  import pytest
  import scipy.sparse
  from spacy.tokens import Doc, Span
  import textacy.datasets
  from textacy import Corpus
  from textacy import extract, preprocessing
  from textacy import load_spacy_lang, make_spacy_doc
  from textacy.extract import keyterms
  from textacy.text_stats import TextStats
  from textacy.tm import TopicModel
  from textacy.representations import Vectorizer
label_desc: Use image node_id 3 for calling a global function with example usage: corpus() and returns: corpus