code: def make_data_long(data):
      data_long = data.stack().reset_index()
      data_long.columns = ["task", "annotator", "label"]
  
      return data_long
  
imports: import numpy
  import pytest
  from copy import deepcopy
  from cleanlab.benchmarking.noise_generation import generate_noise_matrix_from_trace
  from cleanlab.benchmarking.noise_generation import generate_noisy_labels
  from cleanlab import count
  from cleanlab.multiannotator import get_label_quality_multiannotator, get_label_quality_multiannotator_ensemble, get_active_learning_scores, get_active_learning_scores_ensemble, get_majority_vote_label, convert_long_to_wide_dataset
  from cleanlab.internal.multiannotator_utils import format_multiannotator_labels
  import pandas
  from sklearn.linear_model import LogisticRegression
label_desc: Use image node_id 3 for calling a global function with example usage: make_data_long(data) and returns: data_long