Update Space (evaluate main: e4a27243)

requirements.txt

@@ -1,2 +1,2 @@
-git+https://github.com/huggingface/evaluate@80448674f5447a9682afe051db243c4a13bfe4ff
+git+https://github.com/huggingface/evaluate@e4a2724377909fe2aeb4357e3971e5a569673b39
 jiwer

wer.py

@@ -13,6 +13,8 @@
 # limitations under the License.
 """ Word Error Ratio (WER) metric. """
 
+from dataclasses import dataclass
+
 import datasets
 from jiwer import compute_measures
 
@@ -74,13 +76,26 @@ Examples:
 """
 
 
+@dataclass
+class WERConfig(evaluate.info.Config):
+
+    name: str = "default"
+
+    concatenate_texts: bool = False
+
+
 @evaluate.utils.file_utils.add_start_docstrings(_DESCRIPTION, _KWARGS_DESCRIPTION)
 class WER(evaluate.Metric):
-    def _info(self):
+
+    CONFIG_CLASS = WERConfig
+    ALLOWED_CONFIG_NAMES = ["default", "multilabel"]
+
+    def _info(self, config):
         return evaluate.MetricInfo(
             description=_DESCRIPTION,
             citation=_CITATION,
             inputs_description=_KWARGS_DESCRIPTION,
+            config=config,
             features=datasets.Features(
                 {
                     "predictions": datasets.Value("string", id="sequence"),
@@ -93,8 +108,8 @@ class WER(evaluate.Metric):
             ],
         )
 
-    def _compute(self, predictions=None, references=None, concatenate_texts=False):
-        if concatenate_texts:
+    def _compute(self, predictions=None, references=None):
+        if self.config.concatenate_texts:
             return compute_measures(references, predictions)["wer"]
         else:
             incorrect = 0