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audio
dict | duration
float64 1.31
210
| text
stringlengths 2
1.15k
| reciter
stringclasses 19
values |
|---|---|---|---|
{"bytes":"UklGRlA+BQBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjkuMT(...TRUNCATED) | 10.736313 | مَا زَاغَ الْبَصَرُ وَمَا طَغَى | abdul_basit |
{"bytes":"UklGRtgEDgBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjkuMT(...TRUNCATED) | 28.708562 | "فَأَقِمْ وَجْهَكَ لِلدِّينِ الْقَيِّمِ مِنْ قَبْلِ أ(...TRUNCATED) | husary |
{"bytes":"UklGRuKCCgBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjkuMT(...TRUNCATED) | 21.524875 | "تِلْكَ حُدُودُ اللَّهِ وَمَنْ يُطِعِ اللَّهَ وَرَسُو(...TRUNCATED) | abu_bakr_ash-shaatree |
{"bytes":"UklGRiSBDgBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjkuMT(...TRUNCATED) | 29.702938 | "سَيَحْلِفُونَ بِاللَّهِ لَكُمْ إِذَا انْقَلَبْتُمْ إ(...TRUNCATED) | ahmed_neana |
{"bytes":"UklGRiTWBABXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjkuMT(...TRUNCATED) | 9.902938 | "وَيَقُولُ الْإِنْسَانُ أَإِذَا مَا مِتُّ لَسَوْفَ أُ(...TRUNCATED) | abdullah_basfar |
{"bytes":"UklGRmY6EgBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjkuMT(...TRUNCATED) | 37.329 | "ثُمَّ رَدَدْنَا لَكُمُ الْكَرَّةَ عَلَيْهِمْ وَأَمْد(...TRUNCATED) | husary |
{"bytes":"UklGRpAyBABXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjkuMT(...TRUNCATED) | 8.594312 | كَلَّا إِنَّهُ كَانَ لِآيَاتِنَا عَنِيدًا | abdul_basit |
{"bytes":"UklGRq7sBABXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjkuMT(...TRUNCATED) | 10.08325 | وَمِزَاجُهُ مِنْ تَسْنِيمٍ | abdulsamad |
{"bytes":"UklGRlbNAwBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjkuMT(...TRUNCATED) | 7.7845 | اقْرَأْ بِاسْمِ رَبِّكَ الَّذِي خَلَقَ | husary |
{"bytes":"UklGRizVAgBXQVZFZm10IBAAAAABAAEAgD4AAAB9AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjkuMT(...TRUNCATED) | 5.799188 | إِنَّهُ هُوَ السَّمِيعُ الْعَلِيمُ | ahmed_neana |
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Dataset Details
Part of (tarteel_ai_everyayah_dataset) with shuffle applaying on it This dataset is a collection of Quranic verses and their transcriptions, with diacritization, by different reciters.
NOTE
make sure you use the function dataset.cast_column("audio", Audio(sampling_rate=16_000)) on dataset to convert audio from a Byte to structure in Data Instances.
Dataset Description
This data was created specifically because the original data (tarteel_ai_everyayah_dataset) is very large in size, which may cause problems during downloading and of course a large space, whether the device space or one of the cloud sites is used, and it is sufficient to train models such as ASR and reciter classification.
هذه البيانات قد تم عملها خصيصا بسب ان البيانات الاصلية
حجمها كبير جدا مما قد يسبب مشاكل اثناء تحميلها و بطبع مساحة كبيرة سواء تم استخدام مساحة الجهاز او احد مواقع السحابية
و هي كافية لتدريب النماذج
- Curated by: [abo_salah , tarteel Ai company]
- Language(s) (NLP): [Arabic]
Dataset Sources
https://huggingface.co/datasets/tarteel-ai/everyayah
- Repository: [tarteel-ai/everyayah]
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.
Data Splits
Train Test
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