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English Conversation Chat Dataset for Telecom Domain
- futurebeeai.com
wavUpdated Aug 1, 2022
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EmailClick to copy linkLink copiedCiteFutureBee AI (2022). English Conversation Chat Dataset for Telecom Domain [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/data-license-agreementhttps://www.futurebeeai.com/data-license-agreement
Dataset funded byFutureBeeAIDescriptionIntroduction
The dataset comprises over 12,000 chat conversations, each focusing on specific Telecom related topics. Each conversation provides a detailed interaction between a call center agent and a customer, capturing real-life scenarios and language nuances.
•Participants Details: 200+ native English participants from the FutureBeeAI community.•Word Count & Length: Chats are diverse, averaging 300 to 700 words and 50 to 150 turns across both speakers.Topic Diversity
The chat dataset covers a wide range of conversations on Telecom topics, ensuring that the dataset is comprehensive and relevant for training and fine-tuning models for various Telecom use cases. It offers diversity in terms of conversation topics, chat types, and outcomes, including both inbound and outbound chats with positive, neutral, and negative outcomes.
•Inbound Chats:•Phone Number Porting•Network Connectivity Issues•Billing and Payments•Technical Support•Service Activation•International Roaming Enquiry•Refunds and Billing Adjustments•Emergency Service Access, and many more•Outbound Chats:•Welcome Calls / Onboarding Process•Payment Reminders•Customer Surveys•Technical Updates•Service Usage Reviews•Network Complaint Update, and many moreLanguage Variety & Nuances
The conversations in this dataset capture the diverse language styles and expressions prevalent in English Telecom interactions. This diversity ensures the dataset accurately represents the language used by English speakers in Telecom contexts.
The dataset encompasses a wide array of language elements, including:
•Naming Conventions: Chats include a variety of English personal and business names.•Localized Details: Real-world addresses, emails, phone numbers, and other contact information as according to different English-speaking regions.•Temporal and Numeric Expressions: Dates, times, currencies, and numbers in English forms, adhering to local conventions.•Idiomatic Expressions and Slang: It includes local slang, idioms, and informal phrase present in English Telecom conversations.This linguistic authenticity ensures that the dataset equips researchers and developers with a comprehensive understanding of the intricate language patterns, cultural references, and communication styles inherent to English Telecom interactions.
Conversational Flow and Interaction Types
The dataset includes a broad range of conversations, from simple inquiries to detailed discussions, capturing the dynamic nature of Telecom customer-agent interactions.
•Simple Inquiries•Detailed Discussions•Transactional Interactions•Problem-Solving Dialogues•Advisory Sessions•Routine Checks and Follow-UpsEach of these conversations contains various aspects of conversation flow like:
•Greetings•Authentication•Information gathering•Resolution identification<div style="margin-top:10px; margin-bottom: 10px; margin-left: 30px;font-weight: 300; display: flex; gap: 16px; align-items: - F
Bahasa Conversation Chat Dataset for Telecom Domain
- futurebeeai.com
wavUpdated Aug 1, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteFutureBee AI (2022). Bahasa Conversation Chat Dataset for Telecom Domain [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/data-license-agreementhttps://www.futurebeeai.com/data-license-agreement
Dataset funded byFutureBeeAIDescriptionIntroduction
The dataset comprises over 10,000 chat conversations, each focusing on specific Telecom related topics. Each conversation provides a detailed interaction between a call center agent and a customer, capturing real-life scenarios and language nuances.
•Participants Details: 150+ native Bahasa participants from the FutureBeeAI community.•Word Count & Length: Chats are diverse, averaging 300 to 700 words and 50 to 150 turns across both speakers.Topic Diversity
The chat dataset covers a wide range of conversations on Telecom topics, ensuring that the dataset is comprehensive and relevant for training and fine-tuning models for various Telecom use cases. It offers diversity in terms of conversation topics, chat types, and outcomes, including both inbound and outbound chats with positive, neutral, and negative outcomes.
•Inbound Chats:•Phone Number Porting•Network Connectivity Issues•Billing and Payments•Technical Support•Service Activation•International Roaming Enquiry•Refunds and Billing Adjustments•Emergency Service Access, and many more•Outbound Chats:•Welcome Calls / Onboarding Process•Payment Reminders•Customer Surveys•Technical Updates•Service Usage Reviews•Network Complaint Update, and many moreLanguage Variety & Nuances
The conversations in this dataset capture the diverse language styles and expressions prevalent in Bahasa Telecom interactions. This diversity ensures the dataset accurately represents the language used by Bahasa speakers in Telecom contexts.
The dataset encompasses a wide array of language elements, including:
•Naming Conventions: Chats include a variety of Bahasa personal and business names.•Localized Details: Real-world addresses, emails, phone numbers, and other contact information as according to different Bahasa-speaking regions.•Temporal and Numeric Expressions: Dates, times, currencies, and numbers in Bahasa forms, adhering to local conventions.•Idiomatic Expressions and Slang: It includes local slang, idioms, and informal phrase present in Bahasa Telecom conversations.This linguistic authenticity ensures that the dataset equips researchers and developers with a comprehensive understanding of the intricate language patterns, cultural references, and communication styles inherent to Bahasa Telecom interactions.
Conversational Flow and Interaction Types
The dataset includes a broad range of conversations, from simple inquiries to detailed discussions, capturing the dynamic nature of Telecom customer-agent interactions.
•Simple Inquiries•Detailed Discussions•Transactional Interactions•Problem-Solving Dialogues•Advisory Sessions•Routine Checks and Follow-UpsEach of these conversations contains various aspects of conversation flow like:
•Greetings•Authentication•Information gathering•Resolution identification<span - F
Tamil Conversation Chat Dataset for Telecom Domain
- futurebeeai.com
wavUpdated Aug 1, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteFutureBee AI (2022). Tamil Conversation Chat Dataset for Telecom Domain [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/data-license-agreementhttps://www.futurebeeai.com/data-license-agreement
Dataset funded byFutureBeeAIDescriptionIntroduction
The dataset comprises over 12,000 chat conversations, each focusing on specific Telecom related topics. Each conversation provides a detailed interaction between a call center agent and a customer, capturing real-life scenarios and language nuances.
•Participants Details: 200+ native Tamil participants from the FutureBeeAI community.•Word Count & Length: Chats are diverse, averaging 300 to 700 words and 50 to 150 turns across both speakers.Topic Diversity
The chat dataset covers a wide range of conversations on Telecom topics, ensuring that the dataset is comprehensive and relevant for training and fine-tuning models for various Telecom use cases. It offers diversity in terms of conversation topics, chat types, and outcomes, including both inbound and outbound chats with positive, neutral, and negative outcomes.
•Inbound Chats:•Phone Number Porting•Network Connectivity Issues•Billing and Payments•Technical Support•Service Activation•International Roaming Enquiry•Refunds and Billing Adjustments•Emergency Service Access, and many more•Outbound Chats:•Welcome Calls / Onboarding Process•Payment Reminders•Customer Surveys•Technical Updates•Service Usage Reviews•Network Complaint Update, and many moreLanguage Variety & Nuances
The conversations in this dataset capture the diverse language styles and expressions prevalent in Tamil Telecom interactions. This diversity ensures the dataset accurately represents the language used by Tamil speakers in Telecom contexts.
The dataset encompasses a wide array of language elements, including:
•Naming Conventions: Chats include a variety of Tamil personal and business names.•Localized Details: Real-world addresses, emails, phone numbers, and other contact information as according to different Tamil-speaking regions.•Temporal and Numeric Expressions: Dates, times, currencies, and numbers in Tamil forms, adhering to local conventions.•Idiomatic Expressions and Slang: It includes local slang, idioms, and informal phrase present in Tamil Telecom conversations.This linguistic authenticity ensures that the dataset equips researchers and developers with a comprehensive understanding of the intricate language patterns, cultural references, and communication styles inherent to Tamil Telecom interactions.
Conversational Flow and Interaction Types
The dataset includes a broad range of conversations, from simple inquiries to detailed discussions, capturing the dynamic nature of Telecom customer-agent interactions.
•Simple Inquiries•Detailed Discussions•Transactional Interactions•Problem-Solving Dialogues•Advisory Sessions•Routine Checks and Follow-UpsEach of these conversations contains various aspects of conversation flow like:
•Greetings•Authentication•Information gathering•Resolution identification<span - F
Bengali Conversation Chat Dataset for Telecom Domain
- futurebeeai.com
wavUpdated Aug 1, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteFutureBee AI (2022). Bengali Conversation Chat Dataset for Telecom Domain [Dataset]. https://www.futurebeeai.com/dataset/text-dataset/bengali-telecom-domain-conversation-text-datasetwavAvailable download formatsDataset updatedAug 1, 2022Dataset provided byFutureBeeAIAuthorsFutureBee AILicensehttps://www.futurebeeai.com/data-license-agreementhttps://www.futurebeeai.com/data-license-agreement
Dataset funded byFutureBeeAIDescriptionIntroduction
The dataset comprises over 12,000 chat conversations, each focusing on specific Telecom related topics. Each conversation provides a detailed interaction between a call center agent and a customer, capturing real-life scenarios and language nuances.
•Participants Details: 200+ native Bengali participants from the FutureBeeAI community.•Word Count & Length: Chats are diverse, averaging 300 to 700 words and 50 to 150 turns across both speakers.Topic Diversity
The chat dataset covers a wide range of conversations on Telecom topics, ensuring that the dataset is comprehensive and relevant for training and fine-tuning models for various Telecom use cases. It offers diversity in terms of conversation topics, chat types, and outcomes, including both inbound and outbound chats with positive, neutral, and negative outcomes.
•Inbound Chats:•Phone Number Porting•Network Connectivity Issues•Billing and Payments•Technical Support•Service Activation•International Roaming Enquiry•Refunds and Billing Adjustments•Emergency Service Access, and many more•Outbound Chats:•Welcome Calls / Onboarding Process•Payment Reminders•Customer Surveys•Technical Updates•Service Usage Reviews•Network Complaint Update, and many moreLanguage Variety & Nuances
The conversations in this dataset capture the diverse language styles and expressions prevalent in Bengali Telecom interactions. This diversity ensures the dataset accurately represents the language used by Bengali speakers in Telecom contexts.
The dataset encompasses a wide array of language elements, including:
•Naming Conventions: Chats include a variety of Bengali personal and business names.•Localized Details: Real-world addresses, emails, phone numbers, and other contact information as according to different Bengali-speaking regions.•Temporal and Numeric Expressions: Dates, times, currencies, and numbers in Bengali forms, adhering to local conventions.•Idiomatic Expressions and Slang: It includes local slang, idioms, and informal phrase present in Bengali Telecom conversations.This linguistic authenticity ensures that the dataset equips researchers and developers with a comprehensive understanding of the intricate language patterns, cultural references, and communication styles inherent to Bengali Telecom interactions.
Conversational Flow and Interaction Types
The dataset includes a broad range of conversations, from simple inquiries to detailed discussions, capturing the dynamic nature of Telecom customer-agent interactions.
•Simple Inquiries•Detailed Discussions•Transactional Interactions•Problem-Solving Dialogues•Advisory Sessions•Routine Checks and Follow-UpsEach of these conversations contains various aspects of conversation flow like:
•Greetings•Authentication•Information gathering•Resolution identification<div style="margin-top:10px; margin-bottom: 10px; margin-left: 30px;font-weight: 300; display: flex; gap: 16px; align-items: - F
Hindi Conversation Chat Dataset for Telecom Domain
- futurebeeai.com
wavUpdated Aug 1, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteFutureBee AI (2022). Hindi Conversation Chat Dataset for Telecom Domain [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/data-license-agreementhttps://www.futurebeeai.com/data-license-agreement
Dataset funded byFutureBeeAIDescriptionIntroduction
The dataset comprises over 12,000 chat conversations, each focusing on specific Telecom related topics. Each conversation provides a detailed interaction between a call center agent and a customer, capturing real-life scenarios and language nuances.
•Participants Details: 200+ native Hindi participants from the FutureBeeAI community.•Word Count & Length: Chats are diverse, averaging 300 to 700 words and 50 to 150 turns across both speakers.Topic Diversity
The chat dataset covers a wide range of conversations on Telecom topics, ensuring that the dataset is comprehensive and relevant for training and fine-tuning models for various Telecom use cases. It offers diversity in terms of conversation topics, chat types, and outcomes, including both inbound and outbound chats with positive, neutral, and negative outcomes.
•Inbound Chats:•Phone Number Porting•Network Connectivity Issues•Billing and Payments•Technical Support•Service Activation•International Roaming Enquiry•Refunds and Billing Adjustments•Emergency Service Access, and many more•Outbound Chats:•Welcome Calls / Onboarding Process•Payment Reminders•Customer Surveys•Technical Updates•Service Usage Reviews•Network Complaint Update, and many moreLanguage Variety & Nuances
The conversations in this dataset capture the diverse language styles and expressions prevalent in Hindi Telecom interactions. This diversity ensures the dataset accurately represents the language used by Hindi speakers in Telecom contexts.
The dataset encompasses a wide array of language elements, including:
•Naming Conventions: Chats include a variety of Hindi personal and business names.•Localized Details: Real-world addresses, emails, phone numbers, and other contact information as according to different Hindi-speaking regions.•Temporal and Numeric Expressions: Dates, times, currencies, and numbers in Hindi forms, adhering to local conventions.•Idiomatic Expressions and Slang: It includes local slang, idioms, and informal phrase present in Hindi Telecom conversations.This linguistic authenticity ensures that the dataset equips researchers and developers with a comprehensive understanding of the intricate language patterns, cultural references, and communication styles inherent to Hindi Telecom interactions.
Conversational Flow and Interaction Types
The dataset includes a broad range of conversations, from simple inquiries to detailed discussions, capturing the dynamic nature of Telecom customer-agent interactions.
•Simple Inquiries•Detailed Discussions•Transactional Interactions•Problem-Solving Dialogues•Advisory Sessions•Routine Checks and Follow-UpsEach of these conversations contains various aspects of conversation flow like:
•Greetings•Authentication•Information gathering•Resolution identification<span - F
Telugu Conversation Chat Dataset for Telecom Domain
- futurebeeai.com
wavUpdated Aug 1, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteFutureBee AI (2022). Telugu Conversation Chat Dataset for Telecom Domain [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/data-license-agreementhttps://www.futurebeeai.com/data-license-agreement
Dataset funded byFutureBeeAIDescriptionIntroduction
The dataset comprises over 12,000 chat conversations, each focusing on specific Telecom related topics. Each conversation provides a detailed interaction between a call center agent and a customer, capturing real-life scenarios and language nuances.
•Participants Details: 200+ native Telugu participants from the FutureBeeAI community.•Word Count & Length: Chats are diverse, averaging 300 to 700 words and 50 to 150 turns across both speakers.Topic Diversity
The chat dataset covers a wide range of conversations on Telecom topics, ensuring that the dataset is comprehensive and relevant for training and fine-tuning models for various Telecom use cases. It offers diversity in terms of conversation topics, chat types, and outcomes, including both inbound and outbound chats with positive, neutral, and negative outcomes.
•Inbound Chats:•Phone Number Porting•Network Connectivity Issues•Billing and Payments•Technical Support•Service Activation•International Roaming Enquiry•Refunds and Billing Adjustments•Emergency Service Access, and many more•Outbound Chats:•Welcome Calls / Onboarding Process•Payment Reminders•Customer Surveys•Technical Updates•Service Usage Reviews•Network Complaint Update, and many moreLanguage Variety & Nuances
The conversations in this dataset capture the diverse language styles and expressions prevalent in Telugu Telecom interactions. This diversity ensures the dataset accurately represents the language used by Telugu speakers in Telecom contexts.
The dataset encompasses a wide array of language elements, including:
•Naming Conventions: Chats include a variety of Telugu personal and business names.•Localized Details: Real-world addresses, emails, phone numbers, and other contact information as according to different Telugu-speaking regions.•Temporal and Numeric Expressions: Dates, times, currencies, and numbers in Telugu forms, adhering to local conventions.•Idiomatic Expressions and Slang: It includes local slang, idioms, and informal phrase present in Telugu Telecom conversations.This linguistic authenticity ensures that the dataset equips researchers and developers with a comprehensive understanding of the intricate language patterns, cultural references, and communication styles inherent to Telugu Telecom interactions.
Conversational Flow and Interaction Types
The dataset includes a broad range of conversations, from simple inquiries to detailed discussions, capturing the dynamic nature of Telecom customer-agent interactions.
•Simple Inquiries•Detailed Discussions•Transactional Interactions•Problem-Solving Dialogues•Advisory Sessions•Routine Checks and Follow-UpsEach of these conversations contains various aspects of conversation flow like:
•Greetings•Authentication•Information gathering•Resolution identification<span 
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FacebookTwitterEmailhttps://www.futurebeeai.com/data-license-agreementhttps://www.futurebeeai.com/data-license-agreement
Introduction
The dataset comprises over 12,000 chat conversations, each focusing on specific Telecom related topics. Each conversation provides a detailed interaction between a call center agent and a customer, capturing real-life scenarios and language nuances.
Topic Diversity
The chat dataset covers a wide range of conversations on Telecom topics, ensuring that the dataset is comprehensive and relevant for training and fine-tuning models for various Telecom use cases. It offers diversity in terms of conversation topics, chat types, and outcomes, including both inbound and outbound chats with positive, neutral, and negative outcomes.
Language Variety & Nuances
The conversations in this dataset capture the diverse language styles and expressions prevalent in English Telecom interactions. This diversity ensures the dataset accurately represents the language used by English speakers in Telecom contexts.
The dataset encompasses a wide array of language elements, including:
This linguistic authenticity ensures that the dataset equips researchers and developers with a comprehensive understanding of the intricate language patterns, cultural references, and communication styles inherent to English Telecom interactions.
Conversational Flow and Interaction Types
The dataset includes a broad range of conversations, from simple inquiries to detailed discussions, capturing the dynamic nature of Telecom customer-agent interactions.
Each of these conversations contains various aspects of conversation flow like: