Datasets:

obadx
/

qdat

dataset_info:
  features:
    - name: audio
      dtype: audio
    - name: separate_tide
      dtype: int64
    - name: the_tight_noon
      dtype: float64
    - name: concealment
      dtype: int64
    - name: target
      dtype: int64
    - name: age
      dtype: int64
    - name: gender
      dtype: int64
    - name: id
      dtype: string
    - name: original_id
      dtype: string
  splits:
    - name: train
      num_bytes: 893938024.455
      num_examples: 1505
  download_size: 783834887
  dataset_size: 893938024.455
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: mit
task_categories:
  - automatic-speech-recognition
language:
  - ar
tags:
  - quarn
  - Quran
  - qur'an
  - Qur'an
  - tqjweed
  - Tajweed
size_categories:
  - 1K<n<10K

Q-dat

qdat dataset was introudced in this paper cleaned and downsampled to 16000 HZ with the following specs:

Downsampled to 16000 HZ
Fixed mislabeling for origianl_id: s18
Fixed typos in the metadata as

Duplicate Items
{'file_name': 's11_6.wav', 'separate_tide': 0, 'the_tight_noon': 0, 'concealment': 0, 'target': 0, 'age': 18, 'gender': 0, 'id': '147feec0'}
{'file_name': 's11_6.wav', 'separate_tide': 0, 'the_tight_noon': 0, 'concealment': 0, 'target': 0, 'age': 18, 'gender': 0, 'id': '7ab6497e'}
----------------------------------------
{'file_name': 's19_5.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 0, 'target': 0, 'age': 40, 'gender': 0, 'id': '451ae942'}
{'file_name': 's19_5.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 1, 'target': 1, 'age': 48, 'gender': 0, 'id': '6a49073c'}
----------------------------------------
{'file_name': 's19_6.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 0, 'target': 0, 'age': 40, 'gender': 0, 'id': 'ceb358d8'}
{'file_name': 's19_6.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 1, 'target': 1, 'age': 48, 'gender': 0, 'id': '5921d4bb'}
----------------------------------------
{'file_name': 's99_9.wav', 'separate_tide': 0, 'the_tight_noon': 0, 'concealment': 0, 'target': 0, 'age': 30, 'gender': 0, 'id': '4ab77d4c'}
{'file_name': 's99_9.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 1, 'target': 1, 'age': 52, 'gender': 0, 'id': '4d2a3a78'}
----------------------------------------
{'file_name': 's90_3.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 1, 'target': 1, 'age': 62, 'gender': 1, 'id': 'cb1e5d56'}
{'file_name': 's90_3.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 1, 'target': 1, 'age': 40, 'gender': 0, 'id': '63c048dd'}
----------------------------------------
{'file_name': 's90_4.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 1, 'target': 1, 'age': 62, 'gender': 1, 'id': 'e9c6d83f'}
{'file_name': 's90_4.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 1, 'target': 1, 'age': 40, 'gender': 0, 'id': 'c9b1c607'}
----------------------------------------
{'file_name': 's123_4.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 1, 'target': 1, 'age': 50, 'gender': 0, 'id': 'e61bdb74'}
{'file_name': 's123_4.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 1, 'target': 1, 'age': 50, 'gender': 0, 'id': '7c80926d'}
----------------------------------------
{'file_name': 's135_1.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 1, 'target': 1, 'age': 48, 'gender': 0, 'id': '4a69a4e3'}
{'file_name': 's135_1.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 1, 'target': 1, 'age': 48, 'gender': 0, 'id': 'a2d6ec43'}
----------------------------------------
{'file_name': 's140_6.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 1, 'target': 1, 'age': 28, 'gender': 0, 'id': '0cb9a56b'}
{'file_name': 's140_6.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 1, 'target': 1, 'age': 28, 'gender': 0, 'id': 'a0db8625'}
----------------------------------------
{'file_name': 's143_4.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 1, 'target': 1, 'age': 42, 'gender': 0, 'id': '4f6552b1'}
{'file_name': 's143_4.wav', 'separate_tide': 1, 'the_tight_noon': 1, 'concealment': 1, 'target': 1, 'age': 42, 'gender': 0, 'id': '0b611045'}
----------------------------------------

Important Notes

the staset is compsed of reciting the verse: (قالوا لا علم لنا إلا ما علمتنا إنك أنت العليم الحكيم) only
the number of reciters are are 160
every reciter has recorded same verse with same way from 9 to 10 times
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 !

Dataset Features:

audio
separate_tide (المد المنفصل): 0 no madd, 1 has madd
the_tight_noon (النون المشددة): 1 has and 0 hasn't
concealment (إخفاء النون الساكنة) 1 has and 0 hasn't
target: I did not understand it
age: the age of the rectier
gender: the gender of the reciter: 0 (male) and 1 (female)
original_id: the filename introduced by qdat
id: hash id for every item (by my)