Update files from the datasets library (from 1.13.3)

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

README.md

@@ -77,6 +77,9 @@ A typical data point comprises the path to the audio file, usually called `file`
 ```
 {
     'file': '/data/TRAIN/DR4/MMDM0/SI681.WAV', 
+    'audio': {'path': '/data/TRAIN/DR4/MMDM0/SI681.WAV',
+	  		  'array': array([-0.00048828, -0.00018311, -0.00137329, ...,  0.00079346, 0.00091553,  0.00085449], dtype=float32),
+	  		  'sampling_rate': 16000},
     'text': 'Would such an act of refusal be useful?', 
     'phonetic_detail': [{'start': '0', 'stop': '1960', 'utterance': 'h#'}, 
                         {'start': '1960', 'stop': '2466', 'utterance': 'w'}, 
@@ -130,6 +133,8 @@ A typical data point comprises the path to the audio file, usually called `file`
 
 - file: A path to the downloaded audio file in .wav format.
 
+- audio: 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]`.
+
 - text: The transcription of the audio file.
 
 - phonetic_detail: The phonemes that make up the sentence. The PHONCODE.DOC contains a table of all the phonemic and phonetic symbols used in TIMIT lexicon.

timit_asr.py

@@ -77,6 +77,7 @@ class TimitASR(datasets.GeneratorBasedBuilder):
             features=datasets.Features(
                 {
                     "file": datasets.Value("string"),
+                    "audio": datasets.features.Audio(sampling_rate=16_000),
                     "text": datasets.Value("string"),
                     "phonetic_detail": datasets.Sequence(
                         {
@@ -163,6 +164,7 @@ class TimitASR(datasets.GeneratorBasedBuilder):
 
             example = {
                 "file": wav_path,
+                "audio": wav_path,
                 "text": transcript,
                 "phonetic_detail": phonemes,
                 "word_detail": words,