Datasets:
Tasks:
Automatic Speech Recognition
Formats:
parquet
Languages:
Arabic
Size:
10K - 100K
ArXiv:
License:
update metada
Browse files
README.md
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dataset_info:
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features:
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- path: data/
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split:
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---
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dataset_info:
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features:
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- name: aya_name
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dtype: string
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- name: reciter_name
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dtype: string
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- name: recitation_id
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dtype: int32
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- name: url
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dtype: string
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- name: audio
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dtype:
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audio:
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sampling_rate: 16000
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- name: duration
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dtype: float32
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- name: speech_intervals
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dtype:
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Array2D:
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shape:
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- null
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- 2
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dtype: float32
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- name: is_interval_complete
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dtype: bool
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configs:
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- config_name: default
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data_files:
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- path: data/recitation_0/train/*.parquet
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split: recitation_0
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- path: data/recitation_1/train/*.parquet
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split: recitation_1
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- path: data/recitation_2/train/*.parquet
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split: recitation_2
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- path: data/recitation_3/train/*.parquet
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split: recitation_3
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- path: data/recitation_5/train/*.parquet
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split: recitation_5
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- path: data/recitation_6/train/*.parquet
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split: recitation_6
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- path: data/recitation_7/train/*.parquet
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split: recitation_7
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- path: data/recitation_8/train/*.parquet
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split: recitation_8
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license: mit
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language:
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- ar
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size_categories:
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- 10K<n<100K
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---
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# Recitation Segmentation Dataset
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This dataset is aiming to build a model that aplit the Holy Quran recitations using puase (وقف).
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## TODO
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* full description
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* feature description
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