code: def test_prepare_for_training_with_openai(self):
      ner_dataset = datasets.load_dataset(
          # TODO(@frascuchon): Move dataset to the new org
          "rubrix/gutenberg_spacy-ner",
          use_auth_token=_HF_HUB_ACCESS_TOKEN,
          split="train",
      )
      ds: DatasetForTokenClassification = read_datasets(
          ner_dataset, task="TokenClassification"
      )
      for r in ds:
          r.annotation = [
              (label, start, end)
              for label, start, end, _ in r.prediction
          ]
      jsonl = ds.prepare_for_training(framework="openai", seed=42)
  
      assert isinstance(jsonl, list)
      assert isinstance(jsonl[0], dict)
      assert (
          "prompt" in jsonl[0]
          and "completion" in jsonl[0]
          and "id" in jsonl[0]
      )
  
imports: import copy
  import os
  import sys
  from time import sleep
  import datasets
  import pandas
  import pytest
  import spacy
  from argilla.client.datasets import DatasetBase, DatasetForText2Text, DatasetForTextClassification, DatasetForTokenClassification, WrongRecordTypeError, read_datasets, read_pandas
  from argilla.client.models import Text2TextRecord, TextClassificationRecord, TokenClassificationRecord
  from argilla.datasets import TextClassificationSettings
label_desc: Use image node_id 9 for calling the TestDatasetForTokenClassification obj's underlying member method code with example usage: obj.test_prepare_for_training_with_openai() without return types