About This OTS Dataset

With an extensive 250-hour collection of high-quality General Conversation audio recordings, this dataset empowers researchers and developers to enhance natural language processing, conversational AI, and generative voice AI algorithms across multiple sectors. Whether it's finance, healthcare, retail, or any other industry, this dataset provides a rich resource for training and evaluation purposes.

Metadata Availability: Insights into Participant Details:

Each participant is accompanied by comprehensive metadata, which includes detailed information about their age, gender, location, and dialect. Furthermore, this metadata encompasses details such as domain, topic, call type, and outcome, providing valuable insights for both model development and evaluation purposes.

Audio Recording Specifications:

1. Audio Duration: 250 hours
2. Formats Utilized: WAV and MP3, providing flexibility and compatibility
3. Customizable Sample Rate: Variable to meet project specifics, offering flexibility
4. Recording Equipment Standard: Standard call center devices utilized for meticulous capture of authentic interactions between Egyptian Arabic speakers and customers
5. Environment: Recorded within diverse real-world conditions, providing a comprehensive representation of call center interactions

These technical specifications ensure compatibility and optimal performance for a wide range of AI development applications within the general sector.

Speech Data:

Our dataset comprises 250 hours of authentic conversational audio recordings spanning diverse sectors. From unscripted interactions to real-world conversations, each audio file (averaging 5 to 15 minutes) provides valuable insights into customer inquiries, issue resolutions, transactions, and more. The data is available in both MP3 and WAV formats, ensuring compatibility and flexibility for various applications.

Transcription of Datasets:

Manual verbatim transcriptions in JSON format are provided for each call center audio file. These transcriptions, complete with speaker-wise dialogue and time-coded segmentation, facilitate the development of Egyptian Arabic call center conversational AI and ASR models.

License:

Exclusively created by Macgence, this dataset is available for commercial use, empowering AI developers in the general sector.

Updates and Customization:

Regular updates enrich the dataset with new audio data from diverse sectors, ensuring its relevance and diversity. Customization options are available to meet specific project requirements, including tailored transcriptions and linguistic variations.

Why Macgence Stands Out

At Macgence, we're more than just a data provider. We offer tailored solutions to meet your specific needs in AI development. Here's why we believe Macgence is the right partner for you:

• Tailored Solutions: Your project is unique, and we understand that. We'll customize everything to align precisely with your objectives. 
• Versatile Data: Our dataset spans a broad spectrum of applications within the general sector, encompassing speech recognition, natural language processing, and beyond.
• Ongoing Support: We're committed to providing continuous assistance throughout your project lifecycle. Our dataset is regularly refreshed with new recordings, and our team remains readily available to offer guidance and support whenever needed.
• Transparent Licensing: Utilize our dataset for commercial purposes with confidence. Our transparent and straightforward licensing terms ensure clarity and peace of mind for your organization.
• Comprehensive Assistance: Besides data provisioning, we offer a suite of supplementary services to augment your project. Whether it entails sourcing additional data, conducting meticulous labeling, or tailoring datasets to align with your project specifications, we're equipped to provide comprehensive support.

Choose Macgence for your AI development needs and unlock the full potential of our tailored solutions and expertise.