added mcv16.1 numbers

README.md

@@ -68,6 +68,62 @@ model-index:
     - name: Test WER
       type: wer
       value: 1.95
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: Mozilla Common Voice 16.1
+      type: mozilla-foundation/common_voice_16_1
+      config: en
+      split: test
+      args:
+        language: en
+    metrics:
+    - name: Test WER (En)
+      type: wer
+      value: 6.99
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: Mozilla Common Voice 16.1
+      type: mozilla-foundation/common_voice_16_1
+      config: de
+      split: test
+      args:
+        language: de
+    metrics:
+    - name: Test WER (De)
+      type: wer
+      value: 4.03
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: Mozilla Common Voice 16.1
+      type: mozilla-foundation/common_voice_16_1
+      config: es
+      split: test
+      args:
+        language: es
+    metrics:
+    - name: Test WER (ES)
+      type: wer
+      value: 3.31
+  - task:
+      type: Automatic Speech Recognition
+      name: automatic-speech-recognition
+    dataset:
+      name: Mozilla Common Voice 16.1
+      type: mozilla-foundation/common_voice_16_1
+      config: fr
+      split: test
+      args:
+        language: fr
+    metrics:
+    - name: Test WER (Fr)
+      type: wer
+      value: 5.88
   - task:
       type: Automatic Speech Translation
       name: automatic-speech-translation
@@ -379,6 +435,7 @@ The constituents of public data are as follows.
 Automatic Speech Recognition: 
 * [HuggingFace OpenASR Leaderboard evaluation sets](https://huggingface.co/spaces/hf-audio/open_asr_leaderboard)
 * [MLS](https://huggingface.co/datasets/facebook/multilingual_librispeech)
+* [MCV] (https://commonvoice.mozilla.org/en/datasets)
 
 Automatic Speech Translation:
 * [FLEURS](https://huggingface.co/datasets/google/fleurs)
@@ -431,6 +488,11 @@ WER on [MLS](https://huggingface.co/datasets/facebook/multilingual_librispeech)
 |:---------:|:-----------:|:------:|:------:|:------:|
 | 2.2.0   | canary-1b-flash | 4.36 | 2.69 | 4.47 |
 
+WER on [MCV-16.1](https://commonvoice.mozilla.org/en/datasets) test set:
+| **Version** | **Model**  |  **En**   | **De**   | **Es**   | **Fr**   |
+|:---------:|:-----------:|:------:|:------:|:------:|:------:|
+| 2.2.0   | canary-1b-flash | 6.99 | 4.03 | 3.31 | 5.88 |
+
 
 More details on evaluation can be found at [HuggingFace ASR Leaderboard](https://huggingface.co/spaces/hf-audio/open_asr_leaderboard)