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@@ -30,4 +30,78 @@ configs:
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  data_files:
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  - split: train
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  path: data/train-*
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  data_files:
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  - split: train
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  path: data/train-*
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+ license: mit
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+ task_categories:
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+ - automatic-speech-recognition
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+ language:
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+ - ar
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+ tags:
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+ - quarn
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+ - Quran
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+ - qur'an
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+ - Qur'an
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+ - tqjweed
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+ - Tajweed
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+ size_categories:
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+ - 1K<n<10K
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  ---
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+
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+
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+ # Q-dat
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+
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+ qdat dataset was introudced in [this paper](https://www.researchgate.net/publication/350785609_QDAT_A_data_set_for_Reciting_the_Quran) cleaned and downsampled to 16000 HZ with the following specs:
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+ * Downsampled to 16000 HZ
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+ * Fixed mislabeling for `origianl_id`: `s18`
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+ * Fixed typos in the metadata as
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+
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+ ```bash
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+ Duplicate Items
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+ {'file_name': 's11_6.wav', 'separate_tide': 0, 'the_tight_noon': 0, 'concealment': 0, 'target': 0, 'age': 18, 'gender': 0, 'id': '147feec0'}
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+ {'file_name': 's11_6.wav', 'separate_tide': 0, 'the_tight_noon': 0, 'concealment': 0, 'target': 0, 'age': 18, 'gender': 0, 'id': '7ab6497e'}
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+ ----------------------------------------
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+ {'file_name': 's19_5.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 0, 'target': 0, 'age': 40, 'gender': 0, 'id': '451ae942'}
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+ {'file_name': 's19_5.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 1, 'target': 1, 'age': 48, 'gender': 0, 'id': '6a49073c'}
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+ ----------------------------------------
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+ {'file_name': 's19_6.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 0, 'target': 0, 'age': 40, 'gender': 0, 'id': 'ceb358d8'}
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+ {'file_name': 's19_6.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 1, 'target': 1, 'age': 48, 'gender': 0, 'id': '5921d4bb'}
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+ ----------------------------------------
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+ {'file_name': 's99_9.wav', 'separate_tide': 0, 'the_tight_noon': 0, 'concealment': 0, 'target': 0, 'age': 30, 'gender': 0, 'id': '4ab77d4c'}
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+ {'file_name': 's99_9.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 1, 'target': 1, 'age': 52, 'gender': 0, 'id': '4d2a3a78'}
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+ ----------------------------------------
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+ {'file_name': 's90_3.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 1, 'target': 1, 'age': 62, 'gender': 1, 'id': 'cb1e5d56'}
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+ {'file_name': 's90_3.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 1, 'target': 1, 'age': 40, 'gender': 0, 'id': '63c048dd'}
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+ ----------------------------------------
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+ {'file_name': 's90_4.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 1, 'target': 1, 'age': 62, 'gender': 1, 'id': 'e9c6d83f'}
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+ {'file_name': 's90_4.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 1, 'target': 1, 'age': 40, 'gender': 0, 'id': 'c9b1c607'}
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+ ----------------------------------------
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+ {'file_name': 's123_4.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 1, 'target': 1, 'age': 50, 'gender': 0, 'id': 'e61bdb74'}
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+ {'file_name': 's123_4.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 1, 'target': 1, 'age': 50, 'gender': 0, 'id': '7c80926d'}
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+ ----------------------------------------
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+ {'file_name': 's135_1.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 1, 'target': 1, 'age': 48, 'gender': 0, 'id': '4a69a4e3'}
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+ {'file_name': 's135_1.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 1, 'target': 1, 'age': 48, 'gender': 0, 'id': 'a2d6ec43'}
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+ ----------------------------------------
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+ {'file_name': 's140_6.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 1, 'target': 1, 'age': 28, 'gender': 0, 'id': '0cb9a56b'}
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+ {'file_name': 's140_6.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 1, 'target': 1, 'age': 28, 'gender': 0, 'id': 'a0db8625'}
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+ ----------------------------------------
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+ {'file_name': 's143_4.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 1, 'target': 1, 'age': 42, 'gender': 0, 'id': '4f6552b1'}
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+ {'file_name': 's143_4.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 1, 'target': 1, 'age': 42, 'gender': 0, 'id': '0b611045'}
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+ ----------------------------------------
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+ ```
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+
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+ ## Important Notes
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+ * the staset is compsed of reciting the verse: (قالوا لا علم لنا إلا ما علمتنا إنك أنت العليم الحكيم) only
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+ * the number of reciters are are 160
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+ * every reciter has recorded same verse with same way from 9 to 10 times
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+ * every `original_id` starting with `s_x_y` where `x` is the reciter id and `y` is the index of the recitation. You may considerd them repeated !
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+
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+
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+ ## Dataset Features:
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+ * audio
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+ * `separate_tide` (المد المنفصل): 0 no madd, 1 has madd
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+ * `the_tight_noon` (النون المشددة): 1 has and 0 hasn't
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+ * `concealment` (إخفاء النون الساكنة) 1 has and 0 hasn't
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+ * `target`: I did not understand it
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+ * `age`: the age of the rectier
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+ * `gender`: the gender of the reciter: 0 (male) and 1 (female)
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+ * `original_id`: the filename introduced by qdat
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+ * `id`: hash id for every item (by my)