AI customer call center dataset in French

About This OTS Dataset

This Off-The-Shelf (OTS) dataset offers a comprehensive collection of audio recordings featuring conversations between human customers and AI-powered call center agents across diverse industry sectors. Meticulously curated to enhance speech recognition, conversational AI, and customer service automation models, this dataset captures the authentic dynamics of customer interactions with AI agents in real-world call center environments.

The dataset showcases genuine customer voices engaging with AI-powered virtual agents, providing invaluable training data for developing more natural, efficient, and contextually aware automated customer service systems that deliver exceptional customer experiences.

Metadata Availability: Insights into Customer Interaction Details

Each recording is accompanied by detailed metadata including customer age, gender, country, dialect, domain, call topic, call type (inquiry, complaint, technical support, billing, etc.), call outcome, customer sentiment, and AI agent performance indicators. This rich metadata facilitates informed decision-making during model development and enables precise optimization of AI call center systems.

Audio Recording Specifications

Audio Duration: [Variable based on language - e.g., 500-1000 hours]
 Format Utilized: MP3 / WAV, ensuring uncompromised audio integrity
 Sample Rate Flexibility: Adjustable to meet project demands (8kHz, 16kHz, 22.05kHz, 44.1kHz), ensuring versatility
 Language Coverage: Available in French with native speaker authenticity
 Diverse Recording Environments: Captured within various real-world call center settings including customer service inquiries, technical support calls, billing questions, product information requests, complaint resolution, and order management
 Recording Quality: Professional-grade telephony audio capture utilizing standard call center communication systems for meticulous representation of genuine customer-AI agent conversations, facilitating accurate reflection of real-world interaction dynamics

These technical specifications ensure compatibility and optimal performance for a wide range of AI development applications across customer service, support automation, and call center optimization initiatives.

Insights into Audio Data

The dataset comprises high-quality audio recordings covering a wide array of call center scenarios across multiple business domains including retail, banking, telecommunications, healthcare, insurance, e-commerce, and technical support.

Key Features:

• Human Customer Voices: Authentic recordings from native French speakers representing diverse demographics, accents, dialects, age groups, and emotional states
• AI Agent Responses: Advanced AI-generated speech demonstrating professional call center interaction patterns, problem-solving flows, and customer service protocols
• Realistic Call Center Interactions: Natural conversation dynamics including greetings, issue identification, information gathering, problem resolution, objection handling, escalation scenarios, and call closures
• Balanced Representation: Carefully curated to ensure demographic diversity, regional accent coverage, varied call complexity levels, and authentic customer emotional ranges (calm, frustrated, confused, satisfied)
• Multiple Call Types: Comprehensive coverage of inbound customer service calls, technical troubleshooting, account inquiries, complaint handling, product support, and transactional conversations

Created through collaboration with a network of native speakers and state-of-the-art AI voice synthesis technology, the dataset captures realistic customer-AI agent call center interactions while ensuring balanced representation of linguistic variations, cultural communication styles, and service scenarios specific to French markets.

Dataset Transcription Details

Manual verbatim transcriptions in JSON format accompany each audio file, capturing:

• Speaker-wise dialogues (Customer vs. AI Agent clearly distinguished)
• Time-coded segmentation for precise temporal alignment and conversation flow analysis
• Non-speech labels including pauses, background noise, hold music, call transfers, emotional cues (frustration, satisfaction, confusion), and environmental sounds
• Intent tagging identifying customer needs, requests, complaints, and queries
• AI agent action labels documenting information provided, solutions offered, escalations initiated, and call resolutions
• Conversation stage markers tracking interaction phases (opening, authentication, problem statement, troubleshooting, resolution, closing, customer satisfaction confirmation)
• Sentiment annotations capturing customer emotional states throughout the conversation
• Call outcome classification (resolved, escalated, follow-up required, customer satisfied/dissatisfied)

These comprehensive transcriptions expedite the development of conversational AI, automatic speech recognition (ASR), intent detection, sentiment analysis, and call center automation models tailored to customer service scenarios in French.

License

Exclusively curated by Macgence, this AI customer call center audio dataset is available for commercial use, empowering AI developers building next-generation automated customer service systems, intelligent virtual agents, and call center optimization solutions for French markets.

Updates and Customization

Consistent updates with fresh audio data captured in varied real-world call center scenarios guarantee ongoing relevance and precision. We offer extensive customization options including:

• Adjusting sample rates and audio formats to match telephony standards
• Providing bespoke transcriptions tailored to specific industry verticals
• Adding domain-specific call scenarios (banking, insurance, retail, healthcare, etc.)
• Incorporating regional dialect and accent variations
• Customizing AI agent voice characteristics, response patterns, and service scripts
• Expanding dataset size and call complexity based on project requirements
• Including specific customer demographics or emotional state distributions
• Adding multilingual code-switching scenarios for diverse customer bases

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—from call scenarios and customer demographics to AI agent response styles and industry-specific terminology—to align precisely with your customer service objectives.

Versatile Data: Our dataset spans a broad spectrum of applications including speech recognition, natural language processing, intent detection, sentiment analysis, emotion recognition, call routing optimization, quality assurance, and conversational AI training across multiple customer service industries.

Ongoing Support: We're committed to providing continuous assistance throughout your project lifecycle. Our dataset is regularly refreshed with new recordings reflecting evolving customer service patterns, emerging call types, and changing customer expectations, 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, tailoring datasets to align with your project specifications, developing custom AI agent conversation flows, or providing call center domain expertise, we're equipped to provide comprehensive support.

Language & Cultural Expertise: With deep understanding of French linguistic nuances, cultural communication norms, regional variations, and customer service expectations, we ensure your AI call center systems achieve authentic, culturally appropriate, and effective customer interactions.

Call Center Domain Knowledge: Our team brings extensive experience in call center operations, customer service best practices, and AI automation, ensuring datasets that truly reflect real-world challenges and opportunities.

Ideal Use Cases

This AI customer call center dataset is perfect for:

• Training AI-powered virtual call center agents and chatbots
• Developing automatic speech recognition (ASR) for telephony and customer service
• Building intent detection and call routing systems
• Creating sentiment analysis and emotion recognition models
• Improving natural language understanding for customer inquiries in French
• Developing automated call quality assurance and monitoring systems
• Training agent assist and real-time suggestion systems
• Benchmarking AI agent performance against customer service KPIs
• Research in customer-AI communication patterns and satisfaction drivers
• Creating voice biometrics and customer authentication systems
• Developing predictive models for call outcomes and customer satisfaction
• Optimizing call center workflows and automation strategies

Choose Macgence for your AI development needs and unlock the full potential of our tailored solutions and expertise in customer service conversational data.