Add WER for google crowdsourced evaluation dataset

README.md

@@ -28,7 +28,7 @@ model-index:
          value: 7.57
        - name: Google Crowsourced Corpus WER
          type: wer
-         value: 
+         value: 13.72
        - name: Audiobook “La llegenda de Sant Jordi” WER
          type: wer
          value: 13.23
@@ -51,9 +51,9 @@ Word error rate was evaluated on the following datasets unseen by the model:
 
 | Dataset | WER |
 | ------- | --- |
-| [Test split CV+ParlamentParla]((https://github.com/ccoreilly/wav2vec2-catala/blob/master/test.csv)) | 7.57 |
-| [Google Crowsourced Corpus](https://www.openslr.org/69/) | |
-| Audiobook “La llegenda de Sant Jordi” | 13.23 | 
+| [Test split CV+ParlamentParla]((https://github.com/ccoreilly/wav2vec2-catala/blob/master/test.csv)) | 7.57% |
+| [Google Crowsourced Corpus](https://www.openslr.org/69/) | 13.72% |
+| Audiobook “La llegenda de Sant Jordi” | 13.23% | 
 
 
 ## Usage