 Example test with Common Voice Dataset   ```python dataset = load_dataset("common_voice", "pt", split="test", data_dir="./cv-corpus-6.1-2020-12-11")  resampler = torchaudio.transforms.Resample(orig_freq=48_000, new_freq=16_000)  def map_to_array(batch):     speech, _ = torchaudio.load(batch["path"])     batch["speech"] = resampler.forward(speech.squeeze(0)).numpy()     batch["sampling_rate"] = resampler.new_freq     batch["sentence"] = re.sub(chars_to_ignore_regex, '', batch["sentence"]).lower().replace("â€™", "'")     return batch ```  ```python ds = dataset.map(map_to_array) result = ds.map(map_to_pred, batched=True, batch_size=1, remove_columns=list(ds.features.keys())) print(wer.compute(predictions=result["predicted"], references=result["target"])) ``` 