In 2023, Japanese women who were ** years old were the age group with the highest average body weight, amounting to 57.9 kilograms. Women aged 26 to 29 years old had an average body weight of 52.8 kilograms.

PERIOD: Japan proper and South Sakhalin. 1928-1931. By region, 1931. NOTE: (In grams). SOURCE: [Statistical Abstract of Conscription].

PERIOD: Japan proper and South Sakhalin. 1928-1929. By region, 1929. NOTE: (In grams). SOURCE: [Statistical Abstract of Conscription].

Simple linear regression analysis on the prevalence of weight groups (thinness, normal weight, overweight, obesity) from 2010 to 2022 by country.

PERIOD: Japan proper and South Sakhalin. By region, 1934. Average weight, 1926-1934. SOURCE: [Reports by the Army Ministry].

Prevalence of thinness, normal weight, overweight and obesity in East Asian children and adolescents in 2022.

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:

IntroductionSurvivors who lost their homes in the Great East Japan Earthquake and Tsunami were forced to live in difficult conditions in temporary housing several months after the disaster. Body weights of survivors living in temporary housing for a long period might increase due to changes in their life style and psychosocial state during the medium-term and long-term recovery phases. The aim of this study was to determine whether there were differences between body weight changes of people living in temporary housing and those not living in temporary housing in a tsunami-stricken area during the medium-term and long-term recovery phases.Materials and methodsHealth check-ups were performed about 7 months after the disaster (in 2011) and about 18 months after the disaster (in 2012) for people living in a tsunami-stricken area (n = 6,601, mean age = 62.3 y). We compared the changes in body weight in people living in temporary housing (TH group, n = 2,002) and those not living in temporary housing (NTH group, n = 4,599) using a multiple linear regression model.ResultsWhile there was no significant difference between body weights in the TH and NTH groups in the 2011 survey, there was a significant difference between the mean changes in body weight in both sexes. We found that the changes in body weight were significantly greater in the TH group than in the NTH group in both sexes. The partial regression coefficients of mean change in body weight were +0.52 kg (P-value < 0.001) in males in the TH group and +0.56 kg (P-value < 0.001) in females in the TH group (reference: NTH group).ConclusionAnalysis after adjustment for life style, psychosocial factors and cardiovascular risk factors found that people living in temporary housing in the tsunami- stricken area had a significant increase in body weight.

Introduction

The Japanese General Domain Chat Dataset is a high-quality, text-based dataset designed to train and evaluate conversational AI, NLP models, and smart assistants in real-world Japanese usage. Collected through FutureBeeAI’s trusted crowd community, this dataset reflects natural, native-level Japanese conversations covering a broad spectrum of everyday topics.

Conversational Text Data

This dataset includes over 15000 chat transcripts, each featuring free-flowing dialogue between two native Japanese speakers. The conversations are spontaneous, context-rich, and mimic informal, real-life texting behavior.

Diversity and Domain Coverage

Conversations span a wide variety of general-domain topics to ensure comprehensive model exposure:

This diversity ensures the dataset is useful across multiple NLP and language understanding applications.

Linguistic Authenticity

Chats reflect informal, native-level Japanese usage with:

Metadata

Every chat instance is accompanied by structured metadata, which includes:

This metadata supports model filtering, demographic-specific evaluation, and more controlled fine-tuning workflows.

Data Quality Assurance

All chat records pass through a rigorous QA process to maintain consistency and accuracy:

This ensures a clean, reliable dataset ready for high-performance AI model training.

Applications

This dataset is ideal for training and evaluating a wide range of text-based AI systems:

Japan JP: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data was reported at 5.200 % in 2024. This records an increase from the previous number of 5.100 % for 2023. Japan JP: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 6.200 % from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 6.900 % in 2009 and a record low of 5.100 % in 2023. Japan JP: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank.WDI: Social: Health Statistics. Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates.

PERIOD: Japan proper and South Sakhalin. By region, 1933. Average weight, 1926-1933. SOURCE: [Statistical Abstract of Conscription].

The Japan weight management market was valued at USD 6.67 Billion in 2024 and is expected to grow at a CAGR of 8.20%, reaching USD 14.67 Billion by 2034. Rising disposable incomes and a growing youth population are driving demand for customized fitness solutions in Saudi Arabia. Expanding gym chains and mobile health technologies are reshaping consumer preferences. National campaigns focusing on healthy eating are likely to sustain the market’s upward trajectory.

Key Market Trends and Insights

• By offerings, the diet segment accounted for nearly 70% of the revenue share in the historical period.
• The fitness equipment segment is expected to witness notable growth during the forecast period.
• Japan is projected to hold a significant share of the Asia Pacific market during the forecast period.

Market Size and Forecast

• Market Size (2024): USD 6.67 Billion
• Projected Market Size (2034): USD 14.67 Billion
• CAGR (2025-2034): 8.20%

Introduction

Welcome to the Japanese General Conversation Speech Dataset — a rich, linguistically diverse corpus purpose-built to accelerate the development of Japanese 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 Japanese communication.

Curated by FutureBeeAI, this 40 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 Japanese speech models that understand and respond to authentic Japanese accents and dialects.

Speech Data

The dataset comprises 40 hours of high-quality audio, featuring natural, free-flowing dialogue between native speakers of Japanese. These sessions range from informal daily talks to deeper, topic-specific discussions, ensuring variability and context richness for diverse use cases.

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.

Transcription

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

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:

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 Japanese speech and language AI applications:

【リソース】Volume 1_8-1_Trends in perinatal deaths by sex:Japan / Volume 1_8-2_Trends in perinatal death rates by sex:Japan / Volume 1_8-3_Trends in perinatal deaths and perinatal death rates by month:Japan / Volume 1_8-4_Trends in perinatal deaths and percent distribution by birth weight:Japan / Volume 1_8-5_Perinatal deaths, perinatal death rates and percent distribution by sex and birth weight:Japan, 2017 / Volume 1_8-6_Trends in perinatal deaths and perinatal death rates by age of mother:Japan / Volume 1_8-7_Perinatal deaths by age of mother and type of occupation of household:Japan, 2017 / Volume 1_8-8_Perinatal death rates by age of mother and type of occupation of household:Japan, 2017 / Volume 1_8-9_Perinatal deaths and perinatal death rates by sex and age of mother:Japan, 2017 / Volume 1_8-10_Perinatal deaths and perinatal death rates by plurality of birth and birth order:Japan, 2017 / Volume 1_8-11_Perinatal deaths, perinatal death rates and proportion of foetal deaths at 22 completed weeks and over of gestation:Japan, each prefecture and 21 major cities, 2017 / Volume 1_8-12_Trends in perinatal deaths by each prefecture:Japan / Volume 1_8-13_Trends in perinatal death rates by each prefecture:Japan / Volume 1_8-14_Perinatal deaths and percent distribution by maternal condition and causes on child (the list of three-character categories):Japan, 2017 / Volume 2_1_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths) by sex and month of occurrence:Japan, urban/rural residence, each prefecture and 21 major cities / Volume 2_2_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths) by sex, birth weight and mean birth weight:Japan, each prefecture and 21 major cities / Volume 2_3_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths), birth weight and mean birth weight by sex, plurality of birth and age of mother:Japan / Volume 2_4_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths), birth weight and mean birth weight by sex, plurality of birth and birth order:Japan / Volume 2_5_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths), birth weight and mean birth weight by sex, plurality of birth and period of gestation:Japan / Volume 3_1_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths) by maternal condition and causes on child (the list of three-character categories):Japan / Vital Statistics_Vital statistics of Japan_Final data_Perinatal mortality_Yearly_2017 / Volume 1_8-1_Trends in perinatal deaths by sex:Japan,Volume 1_8-2_Trends in perinatal death rates by sex:Japan,Volume 1_8-3_Trends in perinatal deaths and perinatal death rates by month:Japan,Volume 1_8-4_Trends in perinatal deaths and percent distribution by birth weight:Japan,Volume 1_8-5_Perinatal deaths, perinatal death rates and percent distribution by sex and birth weight:Japan, 2017,Volume 1_8-6_Trends in perinatal deaths and perinatal death rates by age of mother:Japan,Volume 1_8-7_Perinatal deaths by age of mother and type of occupation of household:Japan, 2017,Volume 1_8-8_Perinatal death rates by age of mother and type of occupation of household:Japan, 2017,Volume 1_8-9_Perinatal deaths and perinatal death rates by sex and age of mother:Japan, 2017,Volume 1_8-10_Perinatal deaths and perinatal death rates by plurality of birth and birth order:Japan, 2017,Volume 1_8-11_Perinatal deaths, perinatal death rates and proportion of foetal deaths at 22 completed weeks and over of gestation:Japan, each prefecture and 21 major cities, 2017,Volume 1_8-12_Trends in perinatal deaths by each prefecture:Japan,Volume 1_8-13_Trends in perinatal death rates by each prefecture:Japan,Volume 1_8-14_Perinatal deaths and percent distribution by maternal condition and causes on child (the list of three-character categories):Japan, 2017,Volume 2_1_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths) by sex and month of occurrence:Japan, urban/rural residence, each prefecture and 21 major cities,Volume 2_2_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths) by sex, birth weight and mean birth weight:Japan, each prefecture and 21 major cities,Volume 2_3_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths), birth weight and mean birth weight by sex, plurality of birth and age of mother:Japan,Volume 2_4_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths), birth weight and mean birth weight by sex, plurality of birth and birth order:Japan,Volume 2_5_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths), birth weight and mean birth weight by sex, plurality of birth an

Comparison of maternal characteristics between pre-pregnancy underweight, normal weight, overweight and obese women.

【リソース】Volume 1_8-1_Trends in perinatal deaths by sex:Japan / Volume 1_8-2_Trends in perinatal death rates by sex:Japan / Volume 1_8-3_Trends in perinatal deaths and perinatal death rates by month:Japan / Volume 1_8-4_Trends in perinatal deaths and percent distribution by birth weight:Japan / Volume 1_8-5_Perinatal deaths, perinatal death rates and percent distribution by sex and birth weight:Japan, 2015 / Volume 1_8-6_Trends in perinatal deaths and perinatal death rates by age of mother:Japan / Volume 1_8-7_Perinatal deaths by age of mother and type of occupation of household:Japan, 2015 / Volume 1_8-8_Perinatal death rates by age of mother and type of occupation of household:Japan, 2015 / Volume 1_8-9_Perinatal deaths and perinatal death rates by sex and age of mother:Japan, 2015 / Volume 1_8-10_Perinatal deaths and perinatal death rates by plurality of birth and birth order:Japan, 2015 / Volume 1_8-11_Perinatal deaths, perinatal death rates and proportion of foetal deaths at 22 completed weeks and over of gestation:Japan, each prefecture and 21 major cities, 2015 / Volume 1_8-12_Trends in perinatal deaths by each prefecture:Japan / Volume 1_8-13_Trends in perinatal death rates by each prefecture:Japan / Volume 1_8-14_Perinatal deaths and percent distribution by maternal condition and causes on child (the list of three-character categories):Japan, 2015 / Volume 2_1_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths) by sex and month of occurrence:Japan, urban/rural residence, each prefecture and 21 major cities / Volume 2_2_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths) by sex, birth weight and mean birth weight:Japan, each prefecture and 21 major cities / Volume 2_3_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths), birth weight and mean birth weight by sex, plurality of birth and age of mother:Japan / Volume 2_4_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths), birth weight and mean birth weight by sex, plurality of birth and birth order:Japan / Volume 2_5_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths), birth weight and mean birth weight by sex, plurality of birth and period of gestation:Japan / Volume 3_1_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths) by maternal condition and causes on child (the list of three-character categories):Japan / Vital Statistics_Vital statistics of Japan_Final data_Perinatal mortality_Yearly_2015 / Volume 1_8-1_Trends in perinatal deaths by sex:Japan,Volume 1_8-2_Trends in perinatal death rates by sex:Japan,Volume 1_8-3_Trends in perinatal deaths and perinatal death rates by month:Japan,Volume 1_8-4_Trends in perinatal deaths and percent distribution by birth weight:Japan,Volume 1_8-5_Perinatal deaths, perinatal death rates and percent distribution by sex and birth weight:Japan, 2015,Volume 1_8-6_Trends in perinatal deaths and perinatal death rates by age of mother:Japan,Volume 1_8-7_Perinatal deaths by age of mother and type of occupation of household:Japan, 2015,Volume 1_8-8_Perinatal death rates by age of mother and type of occupation of household:Japan, 2015,Volume 1_8-9_Perinatal deaths and perinatal death rates by sex and age of mother:Japan, 2015,Volume 1_8-10_Perinatal deaths and perinatal death rates by plurality of birth and birth order:Japan, 2015,Volume 1_8-11_Perinatal deaths, perinatal death rates and proportion of foetal deaths at 22 completed weeks and over of gestation:Japan, each prefecture and 21 major cities, 2015,Volume 1_8-12_Trends in perinatal deaths by each prefecture:Japan,Volume 1_8-13_Trends in perinatal death rates by each prefecture:Japan,Volume 1_8-14_Perinatal deaths and percent distribution by maternal condition and causes on child (the list of three-character categories):Japan, 2015,Volume 2_1_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths) by sex and month of occurrence:Japan, urban/rural residence, each prefecture and 21 major cities,Volume 2_2_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths) by sex, birth weight and mean birth weight:Japan, each prefecture and 21 major cities,Volume 2_3_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths), birth weight and mean birth weight by sex, plurality of birth and age of mother:Japan,Volume 2_4_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths), birth weight and mean birth weight by sex, plurality of birth and birth order:Japan,Volume 2_5_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths), birth weight and mean birth weight by sex, plurality of birth an

【リソース】Volume 1_8-1_Trends in perinatal deaths by sex:Japan / Volume 1_8-2_Trends in perinatal death rates by sex:Japan / Volume 1_8-3_Trends in perinatal deaths and perinatal death rates by month:Japan / Volume 1_8-4_Trends in perinatal deaths and percent distribution by birth weight:Japan / Volume 1_8-5_Perinatal deaths, perinatal death rates and percent distribution by sex and birth weight:Japan, 2013 / Volume 1_8-6_Trends in perinatal deaths and perinatal death rates by age of mother:Japan / Volume 1_8-7_Perinatal deaths by age of mother and type of occupation of household:Japan, 2013 / Volume 1_8-8_Perinatal death rates by age of mother and type of occupation of household:Japan, 2013 / Volume 1_8-9_Perinatal deaths and perinatal death rates by sex and age of mother:Japan, 2013 / Volume 1_8-10_Perinatal deaths and perinatal death rates by plurality of birth and birth order:Japan, 2013 / Volume 1_8-11_Perinatal deaths, perinatal death rates and proportion of foetal deaths at 22 completed weeks and over of gestation:Japan, each prefecture and 21 major cities, 2013 / Volume 1_8-12_Trends in perinatal deaths by each prefecture:Japan / Volume 1_8-13_Trends in perinatal death rates by each prefecture:Japan / Volume 1_8-14_Perinatal deaths and percent distribution by maternal condition and causes on child (the list of three-character categories):Japan, 2013 / Volume 2_1_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths) by sex and month of occurrence:Japan, urban/rural residence, each prefecture and 21 major cities / Volume 2_2_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths) by sex, birth weight and mean birth weight:Japan, each prefecture and 21 major cities / Volume 2_3_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths), birth weight and mean birth weight by sex, plurality of birth and age of mother:Japan / Volume 2_4_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths), birth weight and mean birth weight by sex, plurality of birth and birth order:Japan / Volume 2_5_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths), birth weight and mean birth weight by sex, plurality of birth and period of gestation:Japan / Volume 3_1_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths) by maternal condition and causes on child (the list of three-character categories):Japan / Vital Statistics_Vital statistics of Japan_Final data_Perinatal mortality_Yearly_2013 / Volume 1_8-1_Trends in perinatal deaths by sex:Japan,Volume 1_8-2_Trends in perinatal death rates by sex:Japan,Volume 1_8-3_Trends in perinatal deaths and perinatal death rates by month:Japan,Volume 1_8-4_Trends in perinatal deaths and percent distribution by birth weight:Japan,Volume 1_8-5_Perinatal deaths, perinatal death rates and percent distribution by sex and birth weight:Japan, 2013,Volume 1_8-6_Trends in perinatal deaths and perinatal death rates by age of mother:Japan,Volume 1_8-7_Perinatal deaths by age of mother and type of occupation of household:Japan, 2013,Volume 1_8-8_Perinatal death rates by age of mother and type of occupation of household:Japan, 2013,Volume 1_8-9_Perinatal deaths and perinatal death rates by sex and age of mother:Japan, 2013,Volume 1_8-10_Perinatal deaths and perinatal death rates by plurality of birth and birth order:Japan, 2013,Volume 1_8-11_Perinatal deaths, perinatal death rates and proportion of foetal deaths at 22 completed weeks and over of gestation:Japan, each prefecture and 21 major cities, 2013,Volume 1_8-12_Trends in perinatal deaths by each prefecture:Japan,Volume 1_8-13_Trends in perinatal death rates by each prefecture:Japan,Volume 1_8-14_Perinatal deaths and percent distribution by maternal condition and causes on child (the list of three-character categories):Japan, 2013,Volume 2_1_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths) by sex and month of occurrence:Japan, urban/rural residence, each prefecture and 21 major cities,Volume 2_2_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths) by sex, birth weight and mean birth weight:Japan, each prefecture and 21 major cities,Volume 2_3_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths), birth weight and mean birth weight by sex, plurality of birth and age of mother:Japan,Volume 2_4_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths), birth weight and mean birth weight by sex, plurality of birth and birth order:Japan,Volume 2_5_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths), birth weight and mean birth weight by sex, plurality of birth an

Weight retention (kg) at 1 and 6 months postpartum.

Introduction

The Japanese Scripted Monologue Speech Dataset for the Delivery & Logistics Domain is a meticulously curated resource developed to support Japanese language speech recognition technologies, with a focus on real-world delivery and logistics applications.

Speech Data

This dataset includes 6,000+ high-quality scripted monologue recordings in Japanese, crafted to simulate practical scenarios in the delivery and logistics industry. These prompts are ideal for building robust, domain-specific conversational AI and customer support systems.

Topic & Scenario Coverage

The dataset captures a wide variety of realistic delivery and logistics situations, including:

Linguistic Features

To simulate authentic conversations, prompts include:

Transcription

Each audio file is paired with a verbatim transcription, enhancing usability for training and validation:

Metadata

Comprehensive metadata accompanies every audio file and participant profile, supporting flexible filtering and model adaptation:

Characteristics of participants classified by pre-pregnancy body mass index values.