remove wer

eval_cer.py

@@ -140,35 +140,4 @@ class CER(evaluate.Metric):
             incorrect += measures["substitutions"] + measures["deletions"] + measures["insertions"]
             total += measures["substitutions"] + measures["deletions"] + measures["hits"]
 
-        return incorrect / total
-
-@evaluate.utils.file_utils.add_start_docstrings(_DESCRIPTION, _KWARGS_DESCRIPTION)
-class WER(evaluate.Metric):
-    def _info(self):
-        return evaluate.MetricInfo(
-            description=_DESCRIPTION,
-            citation=_CITATION,
-            inputs_description=_KWARGS_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "predictions": datasets.Value("string", id="sequence"),
-                    "references": datasets.Value("string", id="sequence"),
-                }
-            ),
-            codebase_urls=["https://github.com/jitsi/jiwer/"],
-            reference_urls=[
-                "https://en.wikipedia.org/wiki/Word_error_rate",
-            ],
-        )
-
-    def _compute(self, predictions=None, references=None, concatenate_texts=False):
-        if concatenate_texts:
-            return compute_measures(references, predictions)["wer"]
-        else:
-            incorrect = 0
-            total = 0
-            for prediction, reference in zip(predictions, references):
-                measures = compute_measures(reference, prediction)
-                incorrect += measures["substitutions"] + measures["deletions"] + measures["insertions"]
-                total += measures["substitutions"] + measures["deletions"] + measures["hits"]
-            return incorrect / total
+        return incorrect / total