Chinese English Call-Center Datasets
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Project Overview:
Objective
In our pursuit to enhance communication and customer service in a bilingual environment, we’ve embarked on an ambitious project: “Chinese English Call-Center Datasets.” Our goal is to build a comprehensive dataset that trains AI models to understand, interpret, and effectively respond in both English and Chinese within call-center scenarios.
Scope
This project involves capturing real-time conversations from various call centers that operate in both Chinese and English. We focus on collecting diverse dialogues encompassing customer inquiries, service requests, and support interactions. These conversations are annotated to highlight key linguistic elements, cultural nuances, and technical jargon typical in customer service scenarios.
Sources
- Call-Center Recordings: Direct recordings from call centers providing services in Chinese and English.
- Customer Service Transcripts: Written transcripts of conversations between customer service agents and clients.
- Training Modules: Utilization of training scripts and modules used in bilingual call centers.
Data Collection Metrics
- Total Conversations Recorded: 30,000
- Chinese Conversations: 15,000
- English Conversations: 15,000
Annotation Process
Stages
- Bilingual Transcription: Each conversation is transcribed verbatim in both Chinese and English.
- Semantic Annotation: Conversations are annotated for key phrases, cultural references, technical terms, and emotional tone.
Annotation Metrics
- Transcribed Conversations: 30,000
- Semantically Annotated Conversations: 30,000
Quality Assurance
Stages
- Bilingual Expert Review: A team of bilingual experts reviews the annotated data for linguistic accuracy and cultural relevance.
- Data Quality Control: We rigorously screen the conversations to ensure relevance, clarity, and adherence to privacy standards.
QA Metrics
- Expert Review Cases: 3,000 (10% of total)
- Data Screening: Rigorous examination and refinement of the collected conversations.
Conclusion
Our “Chinese English Call-Center Datasets” is a groundbreaking resource for AI development in bilingual customer service environments. With this dataset’s extensive collection of annotated conversations, AI models can be trained to understand and navigate complex, real-world customer interactions in both Chinese and English. This dataset is pivotal for creating AI solutions that not only improve customer service efficiency but also bridge the communication gap in a multilingual setting. It’s a leap forward in fostering seamless customer interactions in an increasingly global marketplace.
Quality Data Creation
Guaranteed TAT
ISO 9001:2015, ISO/IEC 27001:2013 Certified
HIPAA Compliance
GDPR Compliance
Compliance and Security
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