Chinese English Call-Center Datasets

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.

Chinese English Call-Center Datasets
Chinese English Call-Center Datasets
Chinese English Call-Center Datasets
Chinese English Call-Center Datasets

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.
case study-post
Chinese English Call-Center Datasets
Chinese English Call-Center Datasets

Data Collection Metrics

  • Total Conversations Recorded: 30,000
  • Chinese Conversations: 15,000
  • English Conversations: 15,000

Annotation Process

Stages

  1. Bilingual Transcription: Each conversation is transcribed verbatim in both Chinese and English.
  2. 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
Chinese English Call-Center Datasets
Chinese English Call-Center Datasets
Chinese English Call-Center Datasets
Chinese English Call-Center Datasets

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.

Technology

Quality Data Creation

Technology

Guaranteed TAT

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ISO 9001:2015, ISO/IEC 27001:2013 Certified

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HIPAA Compliance

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GDPR Compliance

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Compliance and Security

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