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- ---
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- license: cc-by-nc-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc-by-nc-2.0
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+ language:
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+ - ar
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+ - en
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+ tags:
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+ - Arabic
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+ - English
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+ - Broadcast
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+ - Code-switching
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+ - Punctuation
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+ pretty_name: 'QASR: QCRI Aljazeera Speech Resource'
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+ ---
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+ # QASR: QCRI Aljazeera Speech Resource
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+
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+ **QASR** is the largest transcribed Arabic speech corpus with around **2,000 hours** of data.
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+ It features **multi-layer annotation**, covering **multiple Arabic dialects** and **code-switching** speech.
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+
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+ ---
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+
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+ ## 📘 Overview
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+
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+ QASR is a large-scale transcribed Arabic speech corpus collected from **Aljazeera News Channel** broadcasts.
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+ The data is **lightly supervised** and **linguistically segmented**, designed to support a wide range of speech and language processing research tasks.
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+
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+ ### Key Features
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+ - ~2,000 hours of transcribed Arabic speech
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+ - Multi-dialect and code-switching coverage
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+ - Multi-layer linguistic annotations
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+ - Lightly supervised transcriptions
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+ - Linguistically motivated segmentation
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+
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+ ---
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+ ## 📄 Lisence
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+
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+ Non-Commercial Purpose ONLY!
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+
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+ ---
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+
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+ ## 📥 Download
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+
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+ You can request or download the dataset using the link below:
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+
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+ 👉 **[Download QASR Dataset](https://forms.gle/4U34R3Sy9xcmtuRw8)**
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+
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+ Please follow the instructions on the linked page to complete the request process and download the data.
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+
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+ ---
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+
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+ ## 🧠 Applications
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+
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+ QASR is suitable for training and evaluating:
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+
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+ - **Automatic Speech Recognition (ASR)** systems
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+ - **Arabic Dialect Identification** (acoustics- and linguistics-based)
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+ - **Punctuation Restoration**
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+ - **Speaker Identification** and **Speaker Linking**
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+ - **Spoken Language Understanding** and other **NLP modules** for spoken data
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+
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+ ---
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+
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+ ## 📊 Data Source
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+
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+ The corpus was **crawled from the Aljazeera news channel**, providing rich diversity in topics, speakers, and dialectal variation.
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+
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+ ---
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+
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+ ## 📄 Citation
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+
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+ If you use QASR in your research, please cite:
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+
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+ ```bibtex
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+ @inproceedings{mubarak_qasr_2021,
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+ title = {{QASR}: {QCRI} {Aljazeera} {Speech} {Resource}. {A} {Large} {Scale} {Annotated} {Arabic} {Speech} {Corpus}},
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+ booktitle = {{Proc. of ACL}},
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+ author = {Mubarak, Hamdy and Hussein, Amir and Chowdhury, Shammur Absar and Ali, Ahmed},
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+ year = {2021},
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+ }
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+