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English Agent-Customer Chat Dataset for Telecom
- futurebeeai.com
wavUpdated Aug 1, 2022
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EmailClick to copy linkLink copiedCiteFutureBee AI (2022). English Agent-Customer Chat Dataset for Telecom [Dataset]. https://www.futurebeeai.com/dataset/text-dataset/english-telecom-domain-conversation-text-datasetwavAvailable download formatsDataset updatedAug 1, 2022Dataset provided byFutureBeeAIAuthorsFutureBee AILicensehttps://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement
Dataset funded byFutureBeeAIDescriptionIntroduction
The English Telecom Chat Dataset is a comprehensive collection of over 12,000 text-based conversations between telecom customers and call center agents. This dataset captures real-world service interactions and domain-specific language in English, enabling the development of intelligent conversational AI and NLP systems tailored for the telecommunications sector.Participant & Chat Overview
•Participants: 200+ native English speakers from the FutureBeeAI Crowd Community•Conversation Length: 300–700 words per chat•Turns per Chat: 50–150 dialogue turns across both participants•Chat Types: Inbound and outbound•Sentiment Coverage: A mix of positive, neutral, and negative interactionsTopic Diversity
This dataset spans a wide range of telecom customer service scenarios:
•Inbound Chats (Customer-Initiated)•Phone number porting•Network connectivity issues•Billing inquiries and adjustments•Technical support requests•Service activations and upgrades•International roaming inquiries•Refunds and complaint resolution•Emergency service access•Outbound Chats (Agent-Initiated)•Welcome and onboarding calls•Payment reminders and due alerts•Customer satisfaction surveys•Technical issue follow-ups•Usage reviews and service feedback•Promotions and service offersLanguage Nuance & Realism
The conversations reflect real-life telecom interactions in English, incorporating:
•Naming Patterns: Realistic English personal, business, and telecom brand names•Localized Content: Phone numbers, email addresses, and locations consistent with regional norms•Time & Number Formats: English representations of dates, times, currencies, and service numbers•Informal Language & Slang: Common English expressions, idioms, and conversational shortcuts found in telecom discussionsConversational Flow & Structure
Conversations follow the natural flow of telecom customer service exchanges, including:
•Dialogue Types:•Simple service inquiries•Detailed problem-solving discussions•Plan explanations and upgrades•Feedback collection and status updates•Interaction Stages:•Initial greetings and verification•Data or issue collection•Clarification and troubleshooting<span - F
Bahasa Agent-Customer Chat Dataset for Telecom
- futurebeeai.com
wavUpdated Aug 1, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteFutureBee AI (2022). Bahasa Agent-Customer Chat Dataset for Telecom [Dataset]. https://www.futurebeeai.com/dataset/text-dataset/bahasa-telecom-domain-conversation-text-datasetwavAvailable download formatsDataset updatedAug 1, 2022Dataset provided byFutureBeeAIAuthorsFutureBee AILicensehttps://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement
Dataset funded byFutureBeeAIDescriptionIntroduction
The Bahasa Telecom Chat Dataset is a comprehensive collection of over 10,000 text-based conversations between telecom customers and call center agents. This dataset captures real-world service interactions and domain-specific language in Bahasa, enabling the development of intelligent conversational AI and NLP systems tailored for the telecommunications sector.Participant & Chat Overview
•Participants: 150+ native Bahasa speakers from the FutureBeeAI Crowd Community•Conversation Length: 300–700 words per chat•Turns per Chat: 50–150 dialogue turns across both participants•Chat Types: Inbound and outbound•Sentiment Coverage: A mix of positive, neutral, and negative interactionsTopic Diversity
This dataset spans a wide range of telecom customer service scenarios:
•Inbound Chats (Customer-Initiated)•Phone number porting•Network connectivity issues•Billing inquiries and adjustments•Technical support requests•Service activations and upgrades•International roaming inquiries•Refunds and complaint resolution•Emergency service access•Outbound Chats (Agent-Initiated)•Welcome and onboarding calls•Payment reminders and due alerts•Customer satisfaction surveys•Technical issue follow-ups•Usage reviews and service feedback•Promotions and service offersLanguage Nuance & Realism
The conversations reflect real-life telecom interactions in Bahasa, incorporating:
•Naming Patterns: Realistic Bahasa personal, business, and telecom brand names•Localized Content: Phone numbers, email addresses, and locations consistent with regional norms•Time & Number Formats: Bahasa representations of dates, times, currencies, and service numbers•Informal Language & Slang: Common Bahasa expressions, idioms, and conversational shortcuts found in telecom discussionsConversational Flow & Structure
Conversations follow the natural flow of telecom customer service exchanges, including:
•Dialogue Types:•Simple service inquiries•Detailed problem-solving discussions•Plan explanations and upgrades•Feedback collection and status updates•Interaction Stages:•Initial greetings and verification•Data or issue collection•Clarification and troubleshooting<span - F
Hindi Agent-Customer Chat Dataset for Telecom
- futurebeeai.com
wavUpdated Aug 1, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteFutureBee AI (2022). Hindi Agent-Customer Chat Dataset for Telecom [Dataset]. https://www.futurebeeai.com/dataset/text-dataset/hindi-telecom-domain-conversation-text-datasetwavAvailable download formatsDataset updatedAug 1, 2022Dataset provided byFutureBeeAIAuthorsFutureBee AILicensehttps://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement
Dataset funded byFutureBeeAIDescriptionIntroduction
The Hindi Telecom Chat Dataset is a comprehensive collection of over 12,000 text-based conversations between telecom customers and call center agents. This dataset captures real-world service interactions and domain-specific language in Hindi, enabling the development of intelligent conversational AI and NLP systems tailored for the telecommunications sector.Participant & Chat Overview
•Participants: 200+ native Hindi speakers from the FutureBeeAI Crowd Community•Conversation Length: 300–700 words per chat•Turns per Chat: 50–150 dialogue turns across both participants•Chat Types: Inbound and outbound•Sentiment Coverage: A mix of positive, neutral, and negative interactionsTopic Diversity
This dataset spans a wide range of telecom customer service scenarios:
•Inbound Chats (Customer-Initiated)•Phone number porting•Network connectivity issues•Billing inquiries and adjustments•Technical support requests•Service activations and upgrades•International roaming inquiries•Refunds and complaint resolution•Emergency service access•Outbound Chats (Agent-Initiated)•Welcome and onboarding calls•Payment reminders and due alerts•Customer satisfaction surveys•Technical issue follow-ups•Usage reviews and service feedback•Promotions and service offersLanguage Nuance & Realism
The conversations reflect real-life telecom interactions in Hindi, incorporating:
•Naming Patterns: Realistic Hindi personal, business, and telecom brand names•Localized Content: Phone numbers, email addresses, and locations consistent with regional norms•Time & Number Formats: Hindi representations of dates, times, currencies, and service numbers•Informal Language & Slang: Common Hindi expressions, idioms, and conversational shortcuts found in telecom discussionsConversational Flow & Structure
Conversations follow the natural flow of telecom customer service exchanges, including:
•Dialogue Types:•Simple service inquiries•Detailed problem-solving discussions•Plan explanations and upgrades•Feedback collection and status updates•Interaction Stages:•Initial greetings and verification•Data or issue collection•Clarification and troubleshooting•Resolution and - F
Telugu Agent-Customer Chat Dataset for Telecom
- futurebeeai.com
wavUpdated Aug 1, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteFutureBee AI (2022). Telugu Agent-Customer Chat Dataset for Telecom [Dataset]. https://www.futurebeeai.com/dataset/text-dataset/telugu-telecom-domain-conversation-text-datasetwavAvailable download formatsDataset updatedAug 1, 2022Dataset provided byFutureBeeAIAuthorsFutureBee AILicensehttps://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement
Dataset funded byFutureBeeAIDescriptionIntroduction
The Telugu Telecom Chat Dataset is a comprehensive collection of over 12,000 text-based conversations between telecom customers and call center agents. This dataset captures real-world service interactions and domain-specific language in Telugu, enabling the development of intelligent conversational AI and NLP systems tailored for the telecommunications sector.Participant & Chat Overview
•Participants: 200+ native Telugu speakers from the FutureBeeAI Crowd Community•Conversation Length: 300–700 words per chat•Turns per Chat: 50–150 dialogue turns across both participants•Chat Types: Inbound and outbound•Sentiment Coverage: A mix of positive, neutral, and negative interactionsTopic Diversity
This dataset spans a wide range of telecom customer service scenarios:
•Inbound Chats (Customer-Initiated)•Phone number porting•Network connectivity issues•Billing inquiries and adjustments•Technical support requests•Service activations and upgrades•International roaming inquiries•Refunds and complaint resolution•Emergency service access•Outbound Chats (Agent-Initiated)•Welcome and onboarding calls•Payment reminders and due alerts•Customer satisfaction surveys•Technical issue follow-ups•Usage reviews and service feedback•Promotions and service offersLanguage Nuance & Realism
The conversations reflect real-life telecom interactions in Telugu, incorporating:
•Naming Patterns: Realistic Telugu personal, business, and telecom brand names•Localized Content: Phone numbers, email addresses, and locations consistent with regional norms•Time & Number Formats: Telugu representations of dates, times, currencies, and service numbers•Informal Language & Slang: Common Telugu expressions, idioms, and conversational shortcuts found in telecom discussionsConversational Flow & Structure
Conversations follow the natural flow of telecom customer service exchanges, including:
•Dialogue Types:•Simple service inquiries•Detailed problem-solving discussions•Plan explanations and upgrades•Feedback collection and status updates•Interaction Stages:•Initial greetings and verification•Data or issue collection•Clarification and troubleshooting<span - F
Tamil Agent-Customer Chat Dataset for Telecom
- futurebeeai.com
wavUpdated Aug 1, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteFutureBee AI (2022). Tamil Agent-Customer Chat Dataset for Telecom [Dataset]. https://www.futurebeeai.com/dataset/text-dataset/tamil-telecom-domain-conversation-text-datasetwavAvailable download formatsDataset updatedAug 1, 2022Dataset provided byFutureBeeAIAuthorsFutureBee AILicensehttps://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement
Dataset funded byFutureBeeAIDescriptionIntroduction
The Tamil Telecom Chat Dataset is a comprehensive collection of over 12,000 text-based conversations between telecom customers and call center agents. This dataset captures real-world service interactions and domain-specific language in Tamil, enabling the development of intelligent conversational AI and NLP systems tailored for the telecommunications sector.Participant & Chat Overview
•Participants: 200+ native Tamil speakers from the FutureBeeAI Crowd Community•Conversation Length: 300–700 words per chat•Turns per Chat: 50–150 dialogue turns across both participants•Chat Types: Inbound and outbound•Sentiment Coverage: A mix of positive, neutral, and negative interactionsTopic Diversity
This dataset spans a wide range of telecom customer service scenarios:
•Inbound Chats (Customer-Initiated)•Phone number porting•Network connectivity issues•Billing inquiries and adjustments•Technical support requests•Service activations and upgrades•International roaming inquiries•Refunds and complaint resolution•Emergency service access•Outbound Chats (Agent-Initiated)•Welcome and onboarding calls•Payment reminders and due alerts•Customer satisfaction surveys•Technical issue follow-ups•Usage reviews and service feedback•Promotions and service offersLanguage Nuance & Realism
The conversations reflect real-life telecom interactions in Tamil, incorporating:
•Naming Patterns: Realistic Tamil personal, business, and telecom brand names•Localized Content: Phone numbers, email addresses, and locations consistent with regional norms•Time & Number Formats: Tamil representations of dates, times, currencies, and service numbers•Informal Language & Slang: Common Tamil expressions, idioms, and conversational shortcuts found in telecom discussionsConversational Flow & Structure
Conversations follow the natural flow of telecom customer service exchanges, including:
•Dialogue Types:•Simple service inquiries•Detailed problem-solving discussions•Plan explanations and upgrades•Feedback collection and status updates•Interaction Stages:•Initial greetings and verification•Data or issue collection•Clarification and troubleshooting•Resolution and 
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Introduction
The English Telecom Chat Dataset is a comprehensive collection of over 12,000 text-based conversations between telecom customers and call center agents. This dataset captures real-world service interactions and domain-specific language in English, enabling the development of intelligent conversational AI and NLP systems tailored for the telecommunications sector.Participant & Chat Overview
Topic Diversity
This dataset spans a wide range of telecom customer service scenarios:
Language Nuance & Realism
The conversations reflect real-life telecom interactions in English, incorporating:
Conversational Flow & Structure
Conversations follow the natural flow of telecom customer service exchanges, including: