84 datasets found
  1. F

    Hindi Conversation Chat Dataset for Telecom Domain

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    FutureBee AI (2022). Hindi Conversation Chat Dataset for Telecom Domain [Dataset]. https://www.futurebeeai.com/dataset/text-dataset/hindi-telecom-domain-conversation-text-dataset
    Explore at:
    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Dataset funded by
    FutureBeeAI
    Description

    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.

    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 more

    Language 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-Ups

    Each of these conversations contains various aspects of conversation flow like:

    Greetings
    Authentication
    Information gathering
    Resolution identification
    <span

  2. F

    Hindi General Conversation Speech Dataset for ASR

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    FutureBee AI (2022). Hindi General Conversation Speech Dataset for ASR [Dataset]. https://www.futurebeeai.com/dataset/speech-dataset/general-conversation-hindi-india
    Explore at:
    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    Welcome to the Hindi General Conversation Speech Dataset — a rich, linguistically diverse corpus purpose-built to accelerate the development of Hindi speech technologies. This dataset is designed to train and fine-tune ASR systems, spoken language understanding models, and generative voice AI tailored to real-world Hindi communication.

    Curated by FutureBeeAI, this 30 hours dataset offers unscripted, spontaneous two-speaker conversations across a wide array of real-life topics. It enables researchers, AI developers, and voice-first product teams to build robust, production-grade Hindi speech models that understand and respond to authentic Indian accents and dialects.

    Speech Data

    The dataset comprises 30 hours of high-quality audio, featuring natural, free-flowing dialogue between native speakers of Hindi. These sessions range from informal daily talks to deeper, topic-specific discussions, ensuring variability and context richness for diverse use cases.

    Participant Diversity:
    Speakers: 60 verified native Hindi speakers from FutureBeeAI’s contributor community.
    Regions: Representing various provinces of India to ensure dialectal diversity and demographic balance.
    Demographics: A balanced gender ratio (60% male, 40% female) with participant ages ranging from 18 to 70 years.
    Recording Details:
    Conversation Style: Unscripted, spontaneous peer-to-peer dialogues.
    Duration: Each conversation ranges from 15 to 60 minutes.
    Audio Format: Stereo WAV files, 16-bit depth, recorded at 16kHz sample rate.
    Environment: Quiet, echo-free settings with no background noise.

    Topic Diversity

    The dataset spans a wide variety of everyday and domain-relevant themes. This topic diversity ensures the resulting models are adaptable to broad speech contexts.

    Sample Topics Include:
    Family & Relationships
    Food & Recipes
    Education & Career
    Healthcare Discussions
    Social Issues
    Technology & Gadgets
    Travel & Local Culture
    Shopping & Marketplace Experiences, and many more.

    Transcription

    Each audio file is paired with a human-verified, verbatim transcription available in JSON format.

    Transcription Highlights:
    Speaker-segmented dialogues
    Time-coded utterances
    Non-speech elements (pauses, laughter, etc.)
    High transcription accuracy, achieved through double QA pass, average WER < 5%

    These transcriptions are production-ready, enabling seamless integration into ASR model pipelines or conversational AI workflows.

    Metadata

    The dataset comes with granular metadata for both speakers and recordings:

    Speaker Metadata: Age, gender, accent, dialect, state/province, and participant ID.
    Recording Metadata: Topic, duration, audio format, device type, and sample rate.

    Such metadata helps developers fine-tune model training and supports use-case-specific filtering or demographic analysis.

    Usage and Applications

    This dataset is a versatile resource for multiple Hindi speech and language AI applications:

    ASR Development: Train accurate speech-to-text systems for Hindi.
    Voice Assistants: Build smart assistants capable of understanding natural Indian conversations.
    <span

  3. s

    Hindi Dataset

    • ht.shaip.com
    • shaip.com
    Updated Dec 27, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Shaip (2024). Hindi Dataset [Dataset]. https://ht.shaip.com/offerings/speech-data-catalog/hindi-dataset/
    Explore at:
    Dataset updated
    Dec 27, 2024
    Dataset authored and provided by
    Shaip
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Home Hindi Datasetहिंदी डेटासेटHigh-Quality Hindi TTS, General Conversation, and Podcast Dataset for AI & ASR Models Contact Us General Conversation Podcast Data TTS General Conversation .elementor-58615 .elementor-element.elementor-element-91938a9{padding:20px 0px 50px 0px;}.elementor-58615…

  4. m

    General conversation speech datasets in Hindi for General

    • data.macgence.com
    mp3
    Updated Aug 4, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Macgence (2024). General conversation speech datasets in Hindi for General [Dataset]. https://data.macgence.com/dataset/general-conversation-speech-datasets-in-hindi-for-general
    Explore at:
    mp3Available download formats
    Dataset updated
    Aug 4, 2024
    Dataset authored and provided by
    Macgence
    License

    https://data.macgence.com/terms-and-conditionshttps://data.macgence.com/terms-and-conditions

    Time period covered
    2025
    Area covered
    Worldwide
    Variables measured
    Outcome, Call Type, Transcriptions, Audio Recordings, Speaker Metadata, Conversation Topics
    Description

    Explore high-quality Hindi general conversation speech datasets for AI, NLP, and speech recognition research. Download and enhance your projects today!

  5. F

    General domain Human-Human conversation chats in Hindi

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    FutureBee AI (2022). General domain Human-Human conversation chats in Hindi [Dataset]. https://www.futurebeeai.com/dataset/text-dataset/hindi-general-domain-conversation-text-dataset
    Explore at:
    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Dataset funded by
    FutureBeeAI
    Description

    What’s Included

    This training dataset comprises more than 10,000 conversational text data between two native Hindi people in the general domain. We have a collection of chats on a variety of different topics/services/issues of daily life, such as music, books, festivals, health, kids, family, environment, study, childhood, cuisine, internet, movies, etc., and that makes the dataset diverse.

    These chats consist of language-specific words, and phrases and follow the native way of talking which makes the chats more information-rich for your NLP model. Apart from each chat being specific to the topic, it contains various attributes like people's names, addresses, contact information, email address, time, date, local currency, telephone numbers, local slang, etc too in various formats to make the text data unbiased.

    These chat scripts have between 300 and 700 words and up to 50 turns. 150 people that are a part of the FutureBeeAI crowd community contributed to this dataset. You will also receive chat metadata, such as participant age, gender, and country information, along with the chats. Dataset applications include conversational AI, natural language processing (NLP), smart assistants, text recognition, text analytics, and text prediction.

    This dataset is being expanded with new chats all the time. We are able to produce text data in a variety of languages to meet your unique requirements. Check out the FutureBeeAI community for a custom collection.

    This training dataset's licence belongs to FutureBeeAI!

  6. n

    760 Hours - Hindi(India) Spontaneous Dialogue Telephony speech dataset

    • m.nexdata.ai
    • nexdata.ai
    Updated Oct 14, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Nexdata (2023). 760 Hours - Hindi(India) Spontaneous Dialogue Telephony speech dataset [Dataset]. https://m.nexdata.ai/datasets/speechrecog/1206
    Explore at:
    Dataset updated
    Oct 14, 2023
    Dataset provided by
    Nexdata
    nexdata technology inc
    Authors
    Nexdata
    Area covered
    India
    Variables measured
    Format, Country, Speaker, Language, Accuracy rate, Content category, Recording device, Recording condition, Language(Region) Code, Features of annotation
    Description

    Hindi(India) Spontaneous Dialogue Telephony speech dataset, collected from dialogues based on given topics, covering 20+ domains. Transcribed with text content, speaker's ID, gender, age and other attributes. Our dataset was collected from extensive and diversify speakers(1,004 native speakers), geographicly speaking, enhancing model performance in real and complex tasks. Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

  7. 34 Hours - Hindi(India) Children Real-world Casual Conversation and...

    • nexdata.ai
    • m.nexdata.ai
    Updated May 2, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Nexdata (2024). 34 Hours - Hindi(India) Children Real-world Casual Conversation and Monologue speech dataset [Dataset]. https://www.nexdata.ai/datasets/speechrecog/1377?source=Github
    Explore at:
    Dataset updated
    May 2, 2024
    Dataset authored and provided by
    Nexdata
    Area covered
    India
    Variables measured
    Age, Format, Country, Accuracy, Language, Content category, Language(Region) Code, Recording environment, Features of annotation
    Description

    Hindi(India) Children Real-world Casual Conversation and Monologue speech dataset, covers self-media, conversation, live, lecture, variety show and other generic domains, mirrors real-world interactions. Transcribed with text content, speaker's ID, gender, age, accent and other attributes. Our dataset was collected from extensive and diversify speakers(12 years old and younger children), geographicly speaking, enhancing model performance in real and complex tasks.Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

  8. m

    Call Center conversation speech datasets in Hindi for Retail

    • data.macgence.com
    mp3
    Updated Mar 27, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Macgence (2024). Call Center conversation speech datasets in Hindi for Retail [Dataset]. https://data.macgence.com/dataset/call-center-conversation-speech-datasets-in-hindi--for-retail
    Explore at:
    mp3Available download formats
    Dataset updated
    Mar 27, 2024
    Dataset authored and provided by
    Macgence
    License

    https://data.macgence.com/terms-and-conditionshttps://data.macgence.com/terms-and-conditions

    Time period covered
    2025
    Area covered
    Worldwide
    Variables measured
    Outcome, Call Type, Transcriptions, Audio Recordings, Speaker Metadata, Conversation Topics
    Description

    The audio dataset includes Call Center conversations from Retail, featuring Hindi speakers from INDIA ,with detailed metadata.

  9. F

    Hindi Conversation Chat Dataset for Healthcare Domain

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    FutureBee AI (2022). Hindi Conversation Chat Dataset for Healthcare Domain [Dataset]. https://www.futurebeeai.com/dataset/text-dataset/hindi-healthcare-domain-conversation-text-dataset
    Explore at:
    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    The dataset comprises over 12,000 chat conversations, each focusing on specific Healthcare 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 Healthcare topics, ensuring that the dataset is comprehensive and relevant for training and fine-tuning models for various Healthcare 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:
    Appointment Scheduling
    New Patient Registration
    Surgery Consultation
    Consultation regarding Diet, and many more
    Outbound Chats:
    Appointment Reminder
    Health & Wellness Subscription Programs
    Lab Test Results
    Health Risk Assessments
    Preventive Care Reminders, and many more

    Language Variety & Nuances

    The conversations in this dataset capture the diverse language styles and expressions prevalent in Hindi Healthcare interactions. This diversity ensures the dataset accurately represents the language used by Hindi speakers in Healthcare 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 Healthcare 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 Healthcare 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 Healthcare customer-agent interactions.

    Simple Inquiries
    Detailed Discussions
    Transactional Interactions
    Problem-Solving Dialogues
    Advisory Sessions
    Routine Checks and Follow-Ups

    Each of these conversations contains various aspects of conversation flow like:

    Greetings
    Authentication
    Information gathering
    Resolution identification
    Solution Delivery
    Closing and Follow-ups
    Feedback, etc

    This structured and varied conversational flow enables the creation of advanced NLP models that can effectively manage and respond to a wide range of customer service scenarios.

    Data Format and Structure

    The dataset is available in JSON, CSV, and TXT formats, with each conversation containing attributes like participant identifiers and chat messages, designed to

  10. h

    indic-instruct-data-v0.1

    • huggingface.co
    Updated Jan 26, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    AI4Bharat (2024). indic-instruct-data-v0.1 [Dataset]. https://huggingface.co/datasets/ai4bharat/indic-instruct-data-v0.1
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 26, 2024
    Dataset authored and provided by
    AI4Bharat
    Description

    Indic Instruct Data v0.1

    A collection of different instruction datasets spanning English and Hindi languages. The collection consists of:

    Anudesh wikiHow Flan v2 (67k sample subset) Dolly Anthropic-HHH (5k sample subset) OpenAssistant v1 LymSys-Chat (50k sample subset)

    We translate the English subset of specific datasets using IndicTrans2 (Gala et al., 2023). The chrF++ scores of the back-translated example and the corresponding example is provided for quality assessment of the… See the full description on the dataset page: https://huggingface.co/datasets/ai4bharat/indic-instruct-data-v0.1.

  11. m

    General conversation speech datasets in Hindi for Collaboration

    • data.macgence.com
    mp3
    Updated May 21, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Macgence (2025). General conversation speech datasets in Hindi for Collaboration [Dataset]. https://data.macgence.com/dataset/general-conversation-speech-datasets-in-hindi-for-collaboration
    Explore at:
    mp3Available download formats
    Dataset updated
    May 21, 2025
    Dataset authored and provided by
    Macgence
    License

    https://data.macgence.com/terms-and-conditionshttps://data.macgence.com/terms-and-conditions

    Time period covered
    2025
    Area covered
    Worldwide
    Variables measured
    Outcome, Call Type, Transcriptions, Audio Recordings, Speaker Metadata, Conversation Topics
    Description

    Explore Hindi speech datasets for collaboration, ideal for AI, NLP, and research projects. Access high-quality conversational data for your needs.

  12. m

    General conversation speech datasets in Hindi for Power house

    • data.macgence.com
    mp3
    Updated May 12, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Macgence (2025). General conversation speech datasets in Hindi for Power house [Dataset]. https://data.macgence.com/dataset/general-conversation-speech-datasets-in-hindi-for-power-house
    Explore at:
    mp3Available download formats
    Dataset updated
    May 12, 2025
    Dataset authored and provided by
    Macgence
    License

    https://data.macgence.com/terms-and-conditionshttps://data.macgence.com/terms-and-conditions

    Time period covered
    2025
    Area covered
    Worldwide
    Variables measured
    Outcome, Call Type, Transcriptions, Audio Recordings, Speaker Metadata, Conversation Topics
    Description

    Explore high-quality Hindi speech datasets for Power House. Ideal for conversational AI, NLP, and speech recognition applications. Download now!

  13. m

    Call Center Conversation Speech Datasets in Indian Hindi for Customer...

    • data.macgence.com
    mp3
    Updated Jul 21, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Macgence (2024). Call Center Conversation Speech Datasets in Indian Hindi for Customer Service [Dataset]. https://data.macgence.com/dataset/call-center-conversation-speech-datasets-in-indian-hindi-for-customer-service
    Explore at:
    mp3Available download formats
    Dataset updated
    Jul 21, 2024
    Dataset authored and provided by
    Macgence
    License

    https://data.macgence.com/terms-and-conditionshttps://data.macgence.com/terms-and-conditions

    Time period covered
    2025
    Area covered
    Worldwide, India
    Variables measured
    Outcome, Call Type, Transcriptions, Audio Recordings, Speaker Metadata, Conversation Topics
    Description

    Elevate customer service with Macgence's Indian Hindi call center dataset. Perfect for AI and analytics, delivering accurate and actionable insights!

  14. h

    english-hindi-colloquial-dataset

    • huggingface.co
    Updated Feb 21, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    deeksha bajpai (2025). english-hindi-colloquial-dataset [Dataset]. https://huggingface.co/datasets/bajpaideeksha/english-hindi-colloquial-dataset
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 21, 2025
    Authors
    deeksha bajpai
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    A curated dataset of colloquial English phrases and their corresponding Hindi translations. This dataset focuses on informal language, including slang, idioms, and everyday expressions, making it ideal for training models that handle casual conversations. Dataset Details: Size:e.g., 500+ phrase pairs] Source: Collected from publicly available conversational datasets, social media, and crowdsourced contributions. Language Pair: English → Hindi Annotations: Each phrase pair is manually verified… See the full description on the dataset page: https://huggingface.co/datasets/bajpaideeksha/english-hindi-colloquial-dataset.

  15. n

    494 Hours - Hindi(India) Real-world Casual Conversation and Monologue speech...

    • m.nexdata.ai
    Updated Nov 11, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Nexdata (2023). 494 Hours - Hindi(India) Real-world Casual Conversation and Monologue speech dataset [Dataset]. https://m.nexdata.ai/datasets/speechrecog/1269
    Explore at:
    Dataset updated
    Nov 11, 2023
    Dataset provided by
    nexdata technology inc
    Authors
    Nexdata
    Area covered
    World, India
    Variables measured
    Format, Country, Language, Accuracy Rate, Language(Region) Code, Recording environment, Features of annotation
    Description

    Hindi(India) Real-world Casual Conversation and Monologue speech dataset, mirrors real-world interactions. Transcribed with text content, speaker's ID, gender, and other attributes. Our dataset was collected from extensive and diversify speakers, geographicly speaking, enhancing model performance in real and complex tasks. Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

  16. F

    Hindi Conversation Chat Dataset for Delivery & Logistics Domain

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    FutureBee AI (2022). Hindi Conversation Chat Dataset for Delivery & Logistics Domain [Dataset]. https://www.futurebeeai.com/dataset/text-dataset/hindi-delivery-domain-conversation-text-dataset
    Explore at:
    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    The dataset comprises over 12,000 chat conversations, each focusing on specific Delivery & Logistics 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 Delivery & Logistics topics, ensuring that the dataset is comprehensive and relevant for training and fine-tuning models for various Delivery & Logistics 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:
    Order Tracking
    Delivery Complaint
    Undeliverable Address
    Delivery Method Selection
    Return Process Enquiry
    Order Modification, and many more
    Outbound Chats:
    Delivery Confirmation
    Delivery Subscription
    Incorrect Address
    Missed Delivery Attempt
    Delivery Feedback
    Out-of-Stock Notification
    Delivery Satisfaction Survey, and many more

    Language Variety & Nuances

    The conversations in this dataset capture the diverse language styles and expressions prevalent in Hindi Delivery & Logistics interactions. This diversity ensures the dataset accurately represents the language used by Hindi speakers in Delivery & Logistics 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 Delivery & Logistics 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 Delivery & Logistics 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 Delivery & Logistics customer-agent interactions.

    Simple Inquiries
    Detailed Discussions
    Transactional Interactions
    Problem-Solving Dialogues
    Advisory Sessions
    Routine Checks and Follow-Ups

    Each of these conversations contains various aspects of conversation flow like:

    Greetings
    Authentication
    Information gathering
    Resolution identification
    Solution

  17. h

    gooftagoo

    • huggingface.co
    Updated Mar 17, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Adithya Kamath (2024). gooftagoo [Dataset]. https://huggingface.co/datasets/adi-kmt/gooftagoo
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 17, 2024
    Authors
    Adithya Kamath
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Hindi/Hinglish Conversation Dataset

    This repository contains a dataset of conversational text in conversational hindi and hinglish(a mix of Hindi and English languages). The Conversation Dataset contains multi-turn conversations on multiple topics usually revolving around daily real-life experiences. A small amount of reasoning tasks have also been added (specifically COT style reasoning and coding) with about 1k samples from Openhermes 2.5.

      Caution
    

    This dataset was… See the full description on the dataset page: https://huggingface.co/datasets/adi-kmt/gooftagoo.

  18. h

    Synthetic-Hinglish-Finetuning-Dataset

    • huggingface.co
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Prakhar Bhartiya, Synthetic-Hinglish-Finetuning-Dataset [Dataset]. https://huggingface.co/datasets/prakharb01/Synthetic-Hinglish-Finetuning-Dataset
    Explore at:
    Authors
    Prakhar Bhartiya
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Hinglish Conversations Dataset

      Overview
    

    This dataset contains synthetically generated conversational dialogues in Hinglish (a blend of Hindi and English). The conversations revolve around typical college life, cultural festivities, daily routines, and general discussions, designed to be relatable and engaging.

      Dataset Details
    

    Language: Hinglish (Hindi + English) Domain: College life, daily interactions, cultural events, and general discussions Size: 3576… See the full description on the dataset page: https://huggingface.co/datasets/prakharb01/Synthetic-Hinglish-Finetuning-Dataset.

  19. h

    hind_encorp

    • huggingface.co
    • paperswithcode.com
    • +1more
    Updated Mar 22, 2014
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Pavel Rychlý (2014). hind_encorp [Dataset]. https://huggingface.co/datasets/pary/hind_encorp
    Explore at:
    Dataset updated
    Mar 22, 2014
    Authors
    Pavel Rychlý
    License

    Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
    License information was derived automatically

    Description

    HindEnCorp parallel texts (sentence-aligned) come from the following sources: Tides, which contains 50K sentence pairs taken mainly from news articles. This dataset was originally col- lected for the DARPA-TIDES surprise-language con- test in 2002, later refined at IIIT Hyderabad and provided for the NLP Tools Contest at ICON 2008 (Venkatapathy, 2008).

    Commentaries by Daniel Pipes contain 322 articles in English written by a journalist Daniel Pipes and translated into Hindi.

    EMILLE. This corpus (Baker et al., 2002) consists of three components: monolingual, parallel and annotated corpora. There are fourteen monolingual sub- corpora, including both written and (for some lan- guages) spoken data for fourteen South Asian lan- guages. The EMILLE monolingual corpora contain in total 92,799,000 words (including 2,627,000 words of transcribed spoken data for Bengali, Gujarati, Hindi, Punjabi and Urdu). The parallel corpus consists of 200,000 words of text in English and its accompanying translations into Hindi and other languages.

    Smaller datasets as collected by Bojar et al. (2010) include the corpus used at ACL 2005 (a subcorpus of EMILLE), a corpus of named entities from Wikipedia (crawled in 2009), and Agriculture domain parallel corpus.  For the current release, we are extending the parallel corpus using these sources: Intercorp (Čermák and Rosen,2012) is a large multilingual parallel corpus of 32 languages including Hindi. The central language used for alignment is Czech. Intercorp’s core texts amount to 202 million words. These core texts are most suitable for us because their sentence alignment is manually checked and therefore very reliable. They cover predominately short sto- ries and novels. There are seven Hindi texts in Inter- corp. Unfortunately, only for three of them the English translation is available; the other four are aligned only with Czech texts. The Hindi subcorpus of Intercorp contains 118,000 words in Hindi.

    TED talks 3 held in various languages, primarily English, are equipped with transcripts and these are translated into 102 languages. There are 179 talks for which Hindi translation is available.

    The Indic multi-parallel corpus (Birch et al., 2011; Post et al., 2012) is a corpus of texts from Wikipedia translated from the respective Indian language into English by non-expert translators hired over Mechanical Turk. The quality is thus somewhat mixed in many respects starting from typesetting and punctuation over capi- talization, spelling, word choice to sentence structure. A little bit of control could be in principle obtained from the fact that every input sentence was translated 4 times. We used the 2012 release of the corpus.

    Launchpad.net is a software collaboration platform that hosts many open-source projects and facilitates also collaborative localization of the tools. We downloaded all revisions of all the hosted projects and extracted the localization (.po) files.

    Other smaller datasets. This time, we added Wikipedia entities as crawled in 2013 (including any morphological variants of the named entitity that appears on the Hindi variant of the Wikipedia page) and words, word examples and quotes from the Shabdkosh online dictionary.

  20. h

    Hinglish-Everyday-Conversations-1M

    • huggingface.co
    Updated Jan 13, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Abhishek Khatri (2025). Hinglish-Everyday-Conversations-1M [Dataset]. https://huggingface.co/datasets/Abhishekcr448/Hinglish-Everyday-Conversations-1M
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 13, 2025
    Authors
    Abhishek Khatri
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Dataset Card for Hinglish Everyday Conversations Dataset

    A synthetically created Hinglish-based dataset of 2 columns where every row represents a unique conversation between 2 people in Hinglish about Everyday Life Topics.

      Use Model
    

    Access the model made using this dataset: Tiny-Hinglish-Chat-21M For more information about this model, its training process, or related resources, you can check the GitHub repository Tiny-Hinglish-Chat-21M-Scripts.

      Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/Abhishekcr448/Hinglish-Everyday-Conversations-1M.
    
Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
FutureBee AI (2022). Hindi Conversation Chat Dataset for Telecom Domain [Dataset]. https://www.futurebeeai.com/dataset/text-dataset/hindi-telecom-domain-conversation-text-dataset

Hindi Conversation Chat Dataset for Telecom Domain

Explore at:
wavAvailable download formats
Dataset updated
Aug 1, 2022
Dataset provided by
FutureBeeAI
Authors
FutureBee AI
License

https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

Dataset funded by
FutureBeeAI
Description

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.

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 more

Language 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-Ups

Each of these conversations contains various aspects of conversation flow like:

Greetings
Authentication
Information gathering
Resolution identification
<span

Search
Clear search
Close search
Google apps
Main menu