code: def _info(self):
      if self.config_name not in _CONFIG_NAMES:
          raise KeyError(
              f"You should supply a configuration name selected in {_CONFIG_NAMES}"
          )
  
      pred_type = (
          "int64"
          if self.config_name in ["fleurs-lang_id", "minds14"]
          else "string"
      )
  
      return evaluate.MetricInfo(
          description=_DESCRIPTION,
          citation=_CITATION,
          inputs_description=_KWARGS_DESCRIPTION,
          features=datasets.Features(
              {
                  "predictions": datasets.Value(pred_type),
                  "references": datasets.Value(pred_type),
              }
          ),
          codebase_urls=[],
          reference_urls=[],
          format="numpy",
      )
  
file_path: evaluate/metrics/xtreme_s/xtreme_s.py
imports: from typing import List
  import datasets
  from datasets.config import PY_VERSION
  from packaging import version
  from sklearn.metrics import f1_score
  import evaluate
label_desc: Use image node_id 1 for calling the XtremeS obj's underlying member method code with example usage: obj._info() and returns: evaluate