The yield on Japan 40 Year Bond Yield eased to 3.49% on July 15, 2025, marking a 0.01 percentage point decrease from the previous session. Over the past month, the yield has edged up by 0.43 points and is 1.07 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. This dataset includes a chart with historical data for Japan 40 Year Bond Yield.

Comprehensive dataset of 40 Research institutes in Fukui, Japan as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Daily sample data for Japanese 40 Year Bond Yield JYY40Y timestamped in Chicago time

Download Historical Japanese 40 Year Bond Yield Fixed Income Data. CQG daily, 1 minute, tick, and level 1 data from 1899.

Forecast: Import of Woodfree Fine Paper Weighing 40-150 g/m2 to Japan 2024 - 2028 Discover more data with ReportLinker!

This dataset provides information on 40 in Abuta District, Hokkaido, Japan as of June, 2025. It includes details such as email addresses (where publicly available), phone numbers (where publicly available), and geocoded addresses. Explore market trends, identify potential business partners, and gain valuable insights into the industry. Download a complimentary sample of 10 records to see what's included.

44 Japan import shipment records of 40 hscode with prices, volume & current Buyer’s suppliers relationships based on actual Japan import trade database.

Introduction

This Japanese Call Center Speech Dataset for the Healthcare industry is purpose-built to accelerate the development of Japanese speech recognition, spoken language understanding, and conversational AI systems. With 40 Hours of unscripted, real-world conversations, it delivers the linguistic and contextual depth needed to build high-performance ASR models for medical and wellness-related customer service.

Created by FutureBeeAI, this dataset empowers voice AI teams, NLP researchers, and data scientists to develop domain-specific models for hospitals, clinics, insurance providers, and telemedicine platforms.

Speech Data

The dataset features 40 Hours of dual-channel call center conversations between native Japanese speakers. These recordings cover a variety of healthcare support topics, enabling the development of speech technologies that are contextually aware and linguistically rich.

Topic Diversity

The dataset spans inbound and outbound calls, capturing a broad range of healthcare-specific interactions and sentiment types (positive, neutral, negative).

These real-world interactions help build speech models that understand healthcare domain nuances and user intent.

Transcription

Every audio file is accompanied by high-quality, manually created transcriptions in JSON format.

Metadata

Each conversation and speaker includes detailed metadata to support fine-tuned training and analysis.

Usage and Applications

This dataset can be used across a range of healthcare and voice AI use cases:

Introduction

This Japanese Call Center Speech Dataset for the Telecom industry is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for Japanese-speaking telecom customers. Featuring over 40 hours of real-world, unscripted audio, it delivers authentic customer-agent interactions across key telecom support scenarios to help train robust ASR models.

Curated by FutureBeeAI, this dataset empowers voice AI engineers, telecom automation teams, and NLP researchers to build high-accuracy, production-ready models for telecom-specific use cases.

Speech Data

The dataset contains 40 hours of dual-channel call center recordings between native Japanese speakers. Captured in realistic customer support settings, these conversations span a wide range of telecom topics from network complaints to billing issues, offering a strong foundation for training and evaluating telecom voice AI solutions.

Topic Diversity

This speech corpus includes both inbound and outbound calls with varied conversational outcomes like positive, negative, and neutral ensuring broad scenario coverage for telecom AI development.

This variety helps train telecom-specific models to manage real-world customer interactions and understand context-specific voice patterns.

Transcription

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

These transcriptions are production-ready, allowing for faster development of ASR and conversational AI systems in the Telecom domain.

Metadata

Rich metadata is available for each participant and conversation:

Japan PO: Total Household: 40-49 YO: Go Up: 5% to 2% data was reported at 30.500 % in Apr 2025. This records an increase from the previous number of 30.300 % for Mar 2025. Japan PO: Total Household: 40-49 YO: Go Up: 5% to 2% data is updated monthly, averaging 15.800 % from Apr 2013 (Median) to Apr 2025, with 145 observations. The data reached an all-time high of 33.800 % in Oct 2022 and a record low of 6.300 % in Mar 2017. Japan PO: Total Household: 40-49 YO: Go Up: 5% to 2% data remains active status in CEIC and is reported by Economic and Social Research Institute. The data is categorized under Global Database’s Japan – Table JP.H: Consumer Confidence Index: By Age Group. [COVID-19-IMPACT]

Comprehensive dataset of 40 Exhibits in Fukui, Japan as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Introduction

This Japanese Call Center Speech Dataset for the Real Estate industry is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for Japanese -speaking Real Estate customers. With over 40 hours of unscripted, real-world audio, this dataset captures authentic conversations between customers and real estate agents ideal for building robust ASR models.

Curated by FutureBeeAI, this dataset equips voice AI developers, real estate tech platforms, and NLP researchers with the data needed to create high-accuracy, production-ready models for property-focused use cases.

Speech Data

The dataset features 40 hours of dual-channel call center recordings between native Japanese speakers. Captured in realistic real estate consultation and support contexts, these conversations span a wide array of property-related topics from inquiries to investment advice offering deep domain coverage for AI model development.

Topic Diversity

This speech corpus includes both inbound and outbound calls, featuring positive, neutral, and negative outcomes across a wide range of real estate scenarios.

Such domain-rich variety ensures model generalization across common real estate support conversations.

Transcription

All recordings are accompanied by precise, manually verified transcriptions in JSON format.

These transcriptions streamline ASR and NLP development for Japanese real estate voice applications.

Metadata

Detailed metadata accompanies each participant and conversation:

This enables smart filtering, dialect-focused model training, and structured dataset exploration.

Usage and Applications

This dataset is ideal for voice AI and NLP systems built for the real estate sector:

Japan Employment: Female: Age 40 to 44 Years data was reported at 3,590.000 Person th in May 2018. This records a decrease from the previous number of 3,630.000 Person th for Apr 2018. Japan Employment: Female: Age 40 to 44 Years data is updated monthly, averaging 2,830.000 Person th from Jan 1968 (Median) to May 2018, with 599 observations. The data reached an all-time high of 3,940.000 Person th in Sep 1991 and a record low of 2,040.000 Person th in Jan 1968. Japan Employment: Female: Age 40 to 44 Years data remains active status in CEIC and is reported by Statistical Bureau. The data is categorized under Global Database’s Japan – Table JP.G021: Labour Force Survey: Employment: By Age.

Japan CCI: HH of 2 or more: 40-49 YO: Employment data was reported at 39.700 Point in Apr 2025. This records a decrease from the previous number of 42.100 Point for Mar 2025. Japan CCI: HH of 2 or more: 40-49 YO: Employment data is updated monthly, averaging 44.900 Point from Apr 2013 (Median) to Apr 2025, with 145 observations. The data reached an all-time high of 52.600 Point in Sep 2013 and a record low of 13.500 Point in Apr 2020. Japan CCI: HH of 2 or more: 40-49 YO: Employment data remains active status in CEIC and is reported by Economic and Social Research Institute. The data is categorized under Global Database’s Japan – Table JP.H: Consumer Confidence Index: By Age Group. [COVID-19-IMPACT]

Japan PO: Total Household: 40-49 YO: Total HH (Unit: HH) data was reported at 831.000 % in Apr 2025. This records a decrease from the previous number of 853.000 % for Mar 2025. Japan PO: Total Household: 40-49 YO: Total HH (Unit: HH) data is updated monthly, averaging 864.000 % from Apr 2013 (Median) to Apr 2025, with 145 observations. The data reached an all-time high of 1,135.000 % in Jul 2021 and a record low of 678.000 % in Oct 2015. Japan PO: Total Household: 40-49 YO: Total HH (Unit: HH) data remains active status in CEIC and is reported by Economic and Social Research Institute. The data is categorized under Global Database’s Japan – Table JP.H: Consumer Confidence Index: By Age Group. [COVID-19-IMPACT]

Japan CCI: Total Household: 40-49 YO data was reported at 33.600 Point in Apr 2025. This records a decrease from the previous number of 35.800 Point for Mar 2025. Japan CCI: Total Household: 40-49 YO data is updated monthly, averaging 40.900 Point from Apr 2013 (Median) to Apr 2025, with 145 observations. The data reached an all-time high of 47.700 Point in May 2013 and a record low of 19.200 Point in Apr 2020. Japan CCI: Total Household: 40-49 YO data remains active status in CEIC and is reported by Economic and Social Research Institute. The data is categorized under Global Database’s Japan – Table JP.H: Consumer Confidence Index: By Age Group. [COVID-19-IMPACT]

Statistics illustrates the import volume of Paper & paperboard; uncoated, writing, printing, graphic, non-perforated punch-cards, punch tape paper, 0-10% wgt mechanical/chemi-mechanical process fibre, except paper of heading no. 4801 or 4803, rolls or sheets, weight between 40-150g/m2 (inclusive) in Japan from Jan 2019 to May 2025 by trade partner.

Japan PO: Single Household: 40-49 YO: Go Up: <2% data was reported at 6.100 % in Apr 2025. This records a decrease from the previous number of 9.300 % for Mar 2025. Japan PO: Single Household: 40-49 YO: Go Up: <2% data is updated monthly, averaging 23.400 % from Apr 2004 (Median) to Apr 2025, with 253 observations. The data reached an all-time high of 43.400 % in Mar 2017 and a record low of 6.100 % in Apr 2025. Japan PO: Single Household: 40-49 YO: Go Up: <2% data remains active status in CEIC and is reported by Economic and Social Research Institute. The data is categorized under Global Database’s Japan – Table JP.H: Consumer Confidence Index: By Age Group. [COVID-19-IMPACT]

Comprehensive dataset of 40 State government offices in Tokyo, Japan as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 40 Social services organizations in Kagawa, Japan as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.