Algerian Arabic Scripted Monologue Speech Dataset for Retail & E-commerce Domain

Welcome to the Algerian Arabic Scripted Monologue Speech Dataset for the Retail & E-commerce domain. This dataset is built to accelerate the development of Arabic language speech technologies especially for use in retail-focused automatic speech recognition (ASR), natural language processing (NLP), voicebots, and conversational AI applications.

This training dataset includes 6,000+ high-quality scripted audio recordings in Algerian Arabic, created to reflect real-world scenarios in the Retail & E-commerce sector. These prompts are tailored to improve the accuracy and robustness of customer-facing speech technologies.

This dataset includes a comprehensive set of retail-specific topics to ensure wide linguistic coverage for AI training:

To increase training utility, prompts include contextual data such as:

These additions help your models learn to recognize structured and unstructured retail-related speech.

Every audio file is paired with a verbatim transcription, ensuring consistency and alignment for model training.

Detailed metadata is included to support filtering, analysis, and model evaluation:

This dataset supports a wide range of use cases within AI and speech technology development:

All data was collected through FutureBeeAI’s proprietary and secure Yugo platform.

This Algerian Arabic Retail & E-commerce Scripted Monologue Speech Dataset is created by FutureBeeAI and is available for commercial use.