Arabic Spontaneous Dialogue Dataset
Our Arabic Spontaneous Dialogue dataset offers over 300 hours of real human conversations in sectors such as banking, insurance, retail, and telecommunications, aiming to improve AI's natural language understanding. Featuring recordings from Egypt, Jordan, Yemen, and more, it's perfect for advancing speech recognition and NLP applications, capturing the nuances of Arabic dialogues.
Amount
Field
Region
Clarity
Leverage this dataset to:
- Train voice recognition systems with authentic Arabic regional variations.
- Develop AI models capable of understanding and generating natural, spontaneous dialogue recordings.
- Enhance customer service bots with the ability to navigate complex conversations.
- Make your speech recognition model more robust for telephony applications
This dataset is ideal for
- Tech companies developing voice enabled systems and customer service AI.
- Researchers and technologists dedicated to advancing Arabic language processing and voice recognition technologies.
- Startups creating conversational AI for the MENA market.
- Educational platforms offering Arabic language learning through real-life conversations.
Technical Specifications
- Total Hours: 308 hours of authentic Arabic dialogue.
- Regional Coverage: Egypt, Jordan, and Yemen, and others.
- Format: Recorded in telephony quality, saved in 8kHz 16-bit per channel WAV format.
- Domains: Banking, Telecommunication, Insurance, and Retail.
- Recording Environment: Includes both noisy and silent environments for robust training.
Metadata Distribution
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License Information
This dataset is covered by our standard Data license agreement. The license agreement is perpetual and allows for the commercialization of all models built on the data.
