code: def simple_accuracy(preds, labels):
      return float((preds == labels).mean())
  
file_path: evaluate/metrics/super_glue/super_glue.py
imports: import datasets
  from sklearn.metrics import f1_score, matthews_corrcoef
  import evaluate
  from .record_evaluation import evaluate
label_desc: Use image node_id 1 for calling a global function with example usage: simple_accuracy(preds, labels) and returns: float