code: def convert_long_to_wide_dataset(
      labels_multiannotator_long: pd.DataFrame,
  ) -> pd.DataFrame:
      """Converts a long format dataset to wide format which is suitable for passing into
      `~cleanlab.multiannotator.get_label_quality_multiannotator`.
  
      Dataframe must contain three columns named:
  
      #. ``task`` representing each example labeled by the annotators
      #. ``annotator`` representing each annotator
      #. ``label`` representing the label given by an annotator for the corresponding task (i.e. example)
  
      Parameters
      ----------
      labels_multiannotator_long : pd.DataFrame
          pandas DataFrame in long format with three columns named ``task``, ``annotator`` and ``label``
  
      Returns
      -------
      labels_multiannotator_wide : pd.DataFrame
          pandas DataFrame of the proper format to be passed as ``labels_multiannotator`` for the other ``cleanlab.multiannotator`` functions.
      """
      labels_multiannotator_wide = labels_multiannotator_long.pivot(
          index="task", columns="annotator", values="label"
      )
      labels_multiannotator_wide.index.name = None
      labels_multiannotator_wide.columns.name = None
      return labels_multiannotator_wide
  
imports: import warnings
  import numpy
  import pandas
  from typing import List, Dict, Any, Union, Tuple, Optional
  from cleanlab.rank import get_label_quality_scores
  from cleanlab.internal.util import get_num_classes, value_counts
  from cleanlab.internal.constants import CLIPPING_LOWER_BOUND
  from cleanlab.internal.multiannotator_utils import assert_valid_inputs_multiannotator, assert_valid_pred_probs, check_consensus_label_classes, find_best_temp_scaler, temp_scale_pred_probs
label_desc: Use image node_id 6 for calling a global function with example usage: convert_long_to_wide_dataset(labels_multiannotator_long) and returns: labels_multiannotator_wide