Datasets:

benjaminogbonna
/

nigerian_accented_english_dataset

Tasks:

Automatic Speech Recognition

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Formats:

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Dataset card Data Studio Files Files and versions Community

benjaminogbonna commited on Mar 21

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Updated README.md

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@@ -128,7 +128,7 @@ Additional fields include `accent`, `client_id`, `locale` and `segment`.
 `path` (`string`): The path to the audio file
-`audio` (`string`): 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]

 `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]