code: def log_some_data(dataset: str):
      delete_ignoring_errors(dataset)
      text = "My first great example \n"
      tokens = text.split(" ")
      log(
          [
              TokenClassificationRecord(
                  id=1,
                  text=text,
                  tokens=tokens,
                  prediction=[("CARDINAL", 3, 8)],
                  annotation=[("CARDINAL", 3, 8)],
              ),
              TokenClassificationRecord(
                  id=2,
                  text=text,
                  tokens=tokens,
                  prediction=[("CARDINAL", 3, 8)],
                  annotation=[("CARDINAL", 3, 8)],
              ),
              TokenClassificationRecord(
                  id=3,
                  text=text,
                  tokens=tokens,
                  prediction=[("NUMBER", 3, 8)],
                  annotation=[("NUMBER", 3, 8)],
              ),
              TokenClassificationRecord(
                  id=4,
                  text=text,
                  tokens=tokens,
                  prediction=[("PERSON", 3, 8)],
                  annotation=[("PERSON", 3, 8)],
              ),
          ],
          name=dataset,
      )
  
imports: import argilla
  import pytest
  from argilla.client.api import load, log
  from argilla.client.models import TokenClassificationRecord
  from argilla.metrics import entity_consistency
  from argilla.metrics.token_classification import Annotations, entity_capitalness, entity_density, entity_labels, f1, mention_length, token_capitalness, token_frequency, token_length, tokens_length, top_k_mentions
  from tests.integration.utils import delete_ignoring_errors
label_desc: Use image node_id 1 for calling a global function with example usage: log_some_data(dataset) without return types