Update files from the datasets library (from 1.13.3)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.13.3

README.md

@@ -124,6 +124,9 @@ A typical data point comprises the `path` to the audio file, and its label `lang
 {
   'client_id': 'itln_trn_sp_175',
   'path': '/path/common_voice_kpd/Italian/train/itln_trn_sp_175/common_voice_it_18279446.wav',
+  'audio': {'path': '/path/common_voice_kpd/Italian/train/itln_trn_sp_175/common_voice_it_18279446.wav',
+		   'array': array([-0.00048828, -0.00018311, -0.00137329, ...,  0.00079346, 0.00091553,  0.00085449], dtype=float32),
+		   'sampling_rate': 48000},
   'sentence': 'Con gli studenti è leggermente simile.',
   'age': 'not_defined',
   'gender': 'not_defined',
@@ -137,6 +140,8 @@ A typical data point comprises the `path` to the audio file, and its label `lang
 
 `path` (`string`): The path to the audio file
 
+- `audio` (`dict`): A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate. Note that when accessing the audio column: `dataset[0]["audio"]` the audio file is automatically decoded and resampled to `dataset.features["audio"].sampling_rate`. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus it is important to first query the sample index before the `"audio"` column, *i.e.* `dataset[0]["audio"]` should **always** be preferred over `dataset["audio"][0]`.
+
 `language` (`ClassLabel`): The language of the recording (see the `Languages` section above)
 
 `sentence` (`string`): The sentence the user was prompted to speak

common_language.py

@@ -110,6 +110,7 @@ class CommonLanguage(datasets.GeneratorBasedBuilder):
             {
                 "client_id": datasets.Value("string"),
                 "path": datasets.Value("string"),
+                "audio": datasets.features.Audio(sampling_rate=48_000),
                 "sentence": datasets.Value("string"),
                 "age": datasets.Value("string"),
                 "gender": datasets.Value("string"),
@@ -164,6 +165,7 @@ class CommonLanguage(datasets.GeneratorBasedBuilder):
                     yield key, {
                         "client_id": client_id,
                         "path": path,
+                        "audio": path,
                         "sentence": sentence,
                         "age": age,
                         "gender": gender,