code: def test_update_dataset_with_invalid_fields(
      st_extractor: SentenceTransformersExtractor,
  ):
      dataset = FeedbackDataset(
          fields=[TextField(name="text")],
          questions=[TextQuestion(name="question")],
      )
      with pytest.raises(ValueError):
          st_extractor.update_dataset(dataset, fields=["my_fake_field"])
  
file_path: argilla/tests/unit/client/feedback/integrations/test_sentencetransformers.py
imports: from typing import List
  from unittest.mock import MagicMock
  import numpy
  import pytest
  from argilla.client.feedback.dataset.local.dataset import FeedbackDataset
  from argilla.client.feedback.integrations.sentencetransformers import SentenceTransformersExtractor
  from argilla.client.feedback.schemas.fields import TextField
  from argilla.client.feedback.schemas.questions import TextQuestion
  from argilla.client.feedback.schemas.records import FeedbackRecord
  from argilla.client.feedback.schemas.vector_settings import VectorSettings
  from sentence_transformers import SentenceTransformer
label_desc: Use image node_id 7 for calling a global function with example usage: test_update_dataset_with_invalid_fields(st_extractor) without return types