4 datasets found
  1. T

    Canada Households Debt To GDP

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 22, 2024
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    TRADING ECONOMICS (2024). Canada Households Debt To GDP [Dataset]. https://tradingeconomics.com/canada/households-debt-to-gdp
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Sep 22, 2024
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 31, 1990 - Mar 31, 2025
    Area covered
    Canada
    Description

    Households Debt in Canada decreased to 99.58 percent of GDP in the first quarter of 2025 from 100.39 percent of GDP in the fourth quarter of 2024. This dataset provides - Canada Households Debt To Gdp- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  2. T

    Canada Households Credit Market Debt to Disposable Income

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 12, 2025
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    TRADING ECONOMICS (2025). Canada Households Credit Market Debt to Disposable Income [Dataset]. https://tradingeconomics.com/canada/households-debt-to-income
    Explore at:
    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Jun 12, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 31, 1990 - Mar 31, 2025
    Area covered
    Canada
    Description

    Households Debt in Canada decreased to 171.10 percent of gross income in 2025 from 173.07 percent in 2024. This dataset provides - Canada Households Debt To Income- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  3. F

    Canadian French Call Center Data for BFSI AI

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
    + more versions
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    FutureBee AI (2022). Canadian French Call Center Data for BFSI AI [Dataset]. https://www.futurebeeai.com/dataset/speech-dataset/bfsi-call-center-conversation-french-canada
    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

    Area covered
    French, Canada
    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    This Canadian French Call Center Speech Dataset for the BFSI (Banking, Financial Services, and Insurance) sector is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for French-speaking customers. Featuring over 30 hours of real-world, unscripted audio, it offers authentic customer-agent interactions across a range of BFSI services to train robust and domain-aware ASR models.

    Curated by FutureBeeAI, this dataset empowers voice AI developers, financial technology teams, and NLP researchers to build high-accuracy, production-ready models across BFSI customer service scenarios.

    Speech Data

    The dataset contains 30 hours of dual-channel call center recordings between native Canadian French speakers. Captured in realistic financial support settings, these conversations span diverse BFSI topics from loan enquiries and card disputes to insurance claims and investment options, providing deep contextual coverage for model training and evaluation.

    Participant Diversity:
    Speakers: 60 native Canadian French speakers from our verified contributor pool.
    Regions: Representing multiple provinces across Canada to ensure coverage of various accents and dialects.
    Participant Profile: Balanced gender mix (60% male, 40% female) with age distribution from 18 to 70 years.
    Recording Details:
    Conversation Nature: Naturally flowing, unscripted interactions between agents and customers.
    Call Duration: Ranges from 5 to 15 minutes.
    Audio Format: Stereo WAV files, 16-bit depth, at 8kHz and 16kHz sample rates.
    Recording Environment: Captured in clean conditions with no echo or background noise.

    Topic Diversity

    This speech corpus includes both inbound and outbound calls with varied conversational outcomes like positive, negative, and neutral, ensuring real-world BFSI voice coverage.

    Inbound Calls:
    Debit Card Block Request
    Transaction Disputes
    Loan Enquiries
    Credit Card Billing Issues
    Account Closure & Claims
    Policy Renewals & Cancellations
    Retirement & Tax Planning
    Investment Risk Queries, and more
    Outbound Calls:
    Loan & Credit Card Offers
    Customer Surveys
    EMI Reminders
    Policy Upgrades
    Insurance Follow-ups
    Investment Opportunity Calls
    Retirement Planning Reviews, and more

    This variety ensures models trained on the dataset are equipped to handle complex financial dialogues with contextual accuracy.

    Transcription

    All audio files are accompanied by manually curated, time-coded verbatim transcriptions in JSON format.

    Transcription Includes:
    Speaker-Segmented Dialogues
    30 hours-coded Segments
    Non-speech Tags (e.g., pauses, background noise)
    High transcription accuracy with word error rate < 5% due to double-layered quality checks.

    These transcriptions are production-ready, making financial domain model training faster and more accurate.

    Metadata

    Rich metadata is available for each participant and conversation:

    Participant Metadata: ID, age, gender,

  4. F

    Canadian English Call Center Data for BFSI AI

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    FutureBee AI (2022). Canadian English Call Center Data for BFSI AI [Dataset]. https://www.futurebeeai.com/dataset/speech-dataset/bfsi-call-center-conversation-english-canada
    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

    Area covered
    Canada
    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    This Canadian English Call Center Speech Dataset for the BFSI (Banking, Financial Services, and Insurance) sector is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for English-speaking customers. Featuring over 30 hours of real-world, unscripted audio, it offers authentic customer-agent interactions across a range of BFSI services to train robust and domain-aware ASR models.

    Curated by FutureBeeAI, this dataset empowers voice AI developers, financial technology teams, and NLP researchers to build high-accuracy, production-ready models across BFSI customer service scenarios.

    Speech Data

    The dataset contains 30 hours of dual-channel call center recordings between native Canadian English speakers. Captured in realistic financial support settings, these conversations span diverse BFSI topics from loan enquiries and card disputes to insurance claims and investment options, providing deep contextual coverage for model training and evaluation.

    Participant Diversity:
    Speakers: 60 native Canadian English speakers from our verified contributor pool.
    Regions: Representing multiple provinces across Canada to ensure coverage of various accents and dialects.
    Participant Profile: Balanced gender mix (60% male, 40% female) with age distribution from 18 to 70 years.
    Recording Details:
    Conversation Nature: Naturally flowing, unscripted interactions between agents and customers.
    Call Duration: Ranges from 5 to 15 minutes.
    Audio Format: Stereo WAV files, 16-bit depth, at 8kHz and 16kHz sample rates.
    Recording Environment: Captured in clean conditions with no echo or background noise.

    Topic Diversity

    This speech corpus includes both inbound and outbound calls with varied conversational outcomes like positive, negative, and neutral, ensuring real-world BFSI voice coverage.

    Inbound Calls:
    Debit Card Block Request
    Transaction Disputes
    Loan Enquiries
    Credit Card Billing Issues
    Account Closure & Claims
    Policy Renewals & Cancellations
    Retirement & Tax Planning
    Investment Risk Queries, and more
    Outbound Calls:
    Loan & Credit Card Offers
    Customer Surveys
    EMI Reminders
    Policy Upgrades
    Insurance Follow-ups
    Investment Opportunity Calls
    Retirement Planning Reviews, and more

    This variety ensures models trained on the dataset are equipped to handle complex financial dialogues with contextual accuracy.

    Transcription

    All audio files are accompanied by manually curated, time-coded verbatim transcriptions in JSON format.

    Transcription Includes:
    Speaker-Segmented Dialogues
    30 hours-coded Segments
    Non-speech Tags (e.g., pauses, background noise)
    High transcription accuracy with word error rate < 5% due to double-layered quality checks.

    These transcriptions are production-ready, making financial domain model training faster and more accurate.

    Metadata

    Rich metadata is available for each participant and conversation:

    Participant Metadata: ID, age, gender,

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
TRADING ECONOMICS (2024). Canada Households Debt To GDP [Dataset]. https://tradingeconomics.com/canada/households-debt-to-gdp

Canada Households Debt To GDP

Canada Households Debt To GDP - Historical Dataset (1990-03-31/2025-03-31)

Explore at:
excel, xml, json, csvAvailable download formats
Dataset updated
Sep 22, 2024
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Mar 31, 1990 - Mar 31, 2025
Area covered
Canada
Description

Households Debt in Canada decreased to 99.58 percent of GDP in the first quarter of 2025 from 100.39 percent of GDP in the fourth quarter of 2024. This dataset provides - Canada Households Debt To Gdp- actual values, historical data, forecast, chart, statistics, economic calendar and news.

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