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Updated README.md

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README.md CHANGED
@@ -104,18 +104,18 @@ Train your own CTC or Seq2Seq Automatic Speech Recognition models on Nigerian Ac
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  ### Data Instances
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  A typical data point comprises the `path` to the audio file and its `sentence`.
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- Additional fields include `accent`, `age`, `client_id`, `up_votes`, `down_votes`, `gender`, `locale` and `segment`.
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  ```python
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  {
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  'client_id': 'user_3279',
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- 'path': 'clips/audio_sample_3280.mp3',
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- 'audio': 'clips/audio_sample_3280.mp3',
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- 'sentence': 'The majority of House members adopted the opinion that the case had been wrongly decided and agreed to depart from their earlier decision.',
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- 'up_votes': 0,
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- 'down_votes': 0,
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- 'age': None,
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- 'gender': None,
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  'accent': 'nigerian',
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  'locale': 'en',
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  'segment': None
@@ -128,18 +128,13 @@ Additional fields include `accent`, `age`, `client_id`, `up_votes`, `down_votes`
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  `path` (`string`): The path to the audio file
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- `audio` (`string`): The path to the audio file
 
 
 
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  `sentence` (`string`): The sentence the user was prompted to speak
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- `up_votes` (`int64`): How many upvotes the audio file has received from reviewers
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-
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- `down_votes` (`int64`): How many downvotes the audio file has received from reviewers
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-
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- `age` (`string`): The age of the speaker (e.g. `teens`, `twenties`, `fifties`)
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-
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- `gender` (`string`): The gender of the speaker
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-
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  `accent` (`string`): Accent of the speaker
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  `locale` (`string`): The locale of the speaker
 
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  ### Data Instances
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  A typical data point comprises the `path` to the audio file and its `sentence`.
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+ Additional fields include `accent`, `client_id`, `locale` and `segment`.
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  ```python
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  {
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  'client_id': 'user_3279',
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+ 'path': 'clips/audio_sample_3280.mp3',
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+ 'audio': {
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+ 'path': 'clips/audio_sample_1.mp3',
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+ 'array': array([-0.00048828, -0.00018311, -0.00137329, ..., 0.00079346, 0.00091553, 0.00085449], dtype=float32),
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+ 'sampling_rate': 48000
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+ },
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+ 'sentence': 'Its images were used by among others Palestinians in their protest against Israel',
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  'accent': 'nigerian',
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  'locale': 'en',
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  'segment': None
 
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  `path` (`string`): The path to the audio file
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+ `audio` (`string`): audio (dict): A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate.
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+ Note that when accessing the audio column: dataset[0]["audio"] the audio file is automatically decoded and resampled to dataset.features["audio"].sampling_rate.
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+ Decoding and resampling of a large number of audio files might take a significant amount of time.
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+ 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]
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  `sentence` (`string`): The sentence the user was prompted to speak
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  `accent` (`string`): Accent of the speaker
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  `locale` (`string`): The locale of the speaker