code: def dataset_text_classification(mocked_client: SecuredClient) -> str:
      from datasets import load_dataset
  
      dataset = "banking_sentiment_setfit"
  
      dataset_ds = load_dataset(
          f"argilla/{dataset}",
          split="train[:3]",
      )
      dataset_rb = [
          TextClassificationRecord(
              text=rec["text"], annotation=rec["label"]
          )
          for rec in dataset_ds
      ]
      labels = set([rec.annotation for rec in dataset_rb])
      configure_dataset(
          dataset,
          settings=TextClassificationSettings(label_schema=labels),
      )
  
      delete_ignoring_errors(dataset)
      log(name=dataset, records=dataset_rb)
  
      return dataset
  
imports: import asyncio
  import contextlib
  import tempfile
  import uuid
  from typing import TYPE_CHECKING, AsyncGenerator, Dict, Generator
  import httpx
  import pytest
  import pytest_asyncio
  from argilla._constants import API_KEY_HEADER_NAME, DEFAULT_API_KEY
  from argilla.client.api import log
  from argilla.client.apis.datasets import TextClassificationSettings
  from argilla.client.client import Argilla, AuthenticatedClient
  from argilla.client.datasets import read_datasets
  from argilla.client.models import Text2TextRecord, TextClassificationRecord
  from argilla.client.sdk.users import api
  from argilla.client.singleton import ArgillaSingleton
  from argilla.datasets import configure_dataset
  from argilla.server import telemetry
  from argilla.server.cli.database.migrate import migrate_db
  from argilla.server.database import get_async_db
  from argilla.server.models import User, UserRole, Workspace
  from argilla.server.settings import settings
  from argilla.utils import telemetry
  from fastapi.testclient import TestClient
  from sqlalchemy import create_engine
  from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine
  from tests.factories import AnnotatorFactory, OwnerFactory, UserFactory, WorkspaceFactory
  from tests.integration.utils import delete_ignoring_errors
  from tests.pydantic_v1 import BaseModel
  from ..database import SyncTestSession, TestSession, set_task
  from .helpers import SecuredClient
label_desc: Use image node_id 15 for calling a global function with example usage: dataset_text_classification(mocked_client) and returns: dataset