Datasets:

nour-world
/

everyayah

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Dataset Card for Tarteel AI's EveryAyah Dataset

Dataset Summary

This dataset is a collection of Quranic verses and their transcriptions, with diacritization, by different reciters.

Supported Tasks and Leaderboards

[Needs More Information]

Languages

The audio is in Arabic.

Dataset Structure

Data Instances

A typical data point comprises the audio file audio, and its transcription called text. The duration is in seconds, and the author is reciter.

An example from the dataset is:

{
  'audio': {
    'path': None,
    'array': array([ 0.        ,  0.        ,  0.        , ..., -0.00057983,
       -0.00085449, -0.00061035]),
    'sampling_rate': 16000
  },
  'duration': 6.478375,
  'text': 'بِسْمِ اللَّهِ الرَّحْمَنِ الرَّحِيمِ',
  'reciter': 'abdulsamad'
}

Data Fields

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.
duration: The duration of the audio file.
reciter: The reciter of the verses.