code: def upload_dataset_to_openai(self, dataset, file_name) -> str:
      import io
      import json
  
      import openai
  
      for rec in dataset:
          if "id" in rec:
              del rec["id"]
  
      # Create a bytes buffer to hold the serialized data
      byte_stream = io.BytesIO()
  
      # Serialize the data to the bytes buffer
      for item in dataset:
          item_bytes = (json.dumps(item) + "\n").encode("utf-8")
          byte_stream.write(item_bytes)
  
      upload_response = openai.File.create(
          file=byte_stream.getvalue(), purpose="fine-tune"
      )
      self._logger.info(upload_response)
      file_id = upload_response.id
      return file_id
  
imports: import logging
  import os
  import time
  from typing import List, Optional, Union
  import numpy
  from argilla._constants import OPENAI_END_TOKEN, OPENAI_LEGACY_MODELS, OPENAI_SEPARATOR, OPENAI_WHITESPACE
  from argilla.client.models import TextClassificationRecord, TokenClassificationRecord
  from argilla.datasets import TextClassificationSettings, TokenClassificationSettings
  from argilla.training.base import ArgillaTrainerSkeleton
  from argilla.training.utils import filter_allowed_args
  from argilla.utils.dependency import require_dependencies
label_desc: Use image node_id 6 for calling the ArgillaOpenAITrainer obj's underlying member method code with example usage: obj.upload_dataset_to_openai(dataset, file_name) and returns: file_id