Update README.md

README.md

@@ -44,8 +44,9 @@ dataset = load_dataset("audioshake/jam-alt")["test"]
 A subset is defined for each language (`en`, `fr`, `de`, `es`);
 for example, use `load_dataset("audioshake/jam-alt", "es")` to load only the Spanish songs.
 
-Other arguments can be specified to control audio loading:
-- `with_audio=False` to skip loading audio.
+By default, the dataset comes with audio. To skip loading the audio, use `with_audio=False`.
+To control how the audio is decoded, cast the `audio` column using `dataset.cast_column("audio", datasets.Audio(...))`.
+Useful arguments to `datasets.Audio()` are:
 - `sampling_rate` and `mono=True` to control the sampling rate and number of channels.
 - `decode_audio=False` to skip decoding the audio and just get the MP3 file paths.
 
@@ -61,7 +62,6 @@ dataset = load_dataset("audioshake/jam-alt", revision="v1.0.0")["test"]
 compute_metrics(dataset["text"], transcriptions, languages=dataset["language"])
 ```
 
-By default, the dataset includes the audio, allowing you to run transcription directly.
 For example, the following code can be used to evaluate Whisper:
 ```python
 dataset = load_dataset("audioshake/jam-alt", revision="v1.0.0")["test"]