datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
vn-provinces-unemployment-insurance-participation-rate
Vietnam provinces unemployment insurance participation rate
Provincial and regional share of people participating in unemployment insurance (percent). Coverage 2015-2024. Year 2024 is preliminary. Tables cover provinces, regions and national total. Geographic labels are English (UN/GSO style ASCII romanization). Province names follow ar_core.vn_geo (historical 63-province system).
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provinces (630 rows)… See the full description on the dataset page: https://huggingface.co/datasets/letrinhan/vn-provinces-unemployment-insurance-participation-rate.vn-provinces-health-insurance-participation-rate
Vietnam provinces health insurance participation rate
Share of population participating in health insurance (percent). Coverage 2015-2024. Year 2024 is preliminary. Geographic labels are English (UN/GSO style ASCII romanization). Tables cover provinces, regions and national total where present. Province names follow ar_core.vn_geo (historical 63-province system).
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provinces (630 rows)
data/provinces.csv… See the full description on the dataset page: https://huggingface.co/datasets/letrinhan/vn-provinces-health-insurance-participation-rate.vn-provinces-insurance-master
Vietnam social insurance participation master by locality
Wide geo×year master joining the three NSO locality packs under Ngân hàng, bảo hiểm và thu chi ngân sách: social, health, and unemployment insurance participation rates (2015-2024). Budget, money aggregates, credit, BOP, interest/FX, and securities tables are national-only and out of scope. Province names follow ar_core.vn_geo.
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provinces (630 rows)… See the full description on the dataset page: https://huggingface.co/datasets/letrinhan/vn-provinces-insurance-master.vn-provinces-social-insurance-participation-rate
Vietnam provinces social insurance participation rate
Share of population participating in social insurance (percent). Coverage 2015-2024. Year 2024 is preliminary. Geographic labels are English (UN/GSO style ASCII romanization). Tables cover provinces, regions and national total where present. Province names follow ar_core.vn_geo (historical 63-province system).
Figures
Hero
Comparison
Color key
Files
provinces (630 rows)
data/provinces.csv… See the full description on the dataset page: https://huggingface.co/datasets/letrinhan/vn-provinces-social-insurance-participation-rate.africa-synth-insurance-fraud-detection-all
African Insurance Fraud Detection | Africa (Electric Sheep Africa metadata inventory)
Size category: 100K<n<1M - Formats: csv - Sector: culture_language - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Public datasets… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-insurance-fraud-detection-all.fema-nfip-flood-insurance-claims
FEMA NFIP Redacted Claims v3 — free sample
This free 1,000-row sample spans all 49 loss years 1978–2026. The complete
ClarityStorm snapshot
contains 2,725,989 records through 2026-09-07, as of 2026-09-08, in CSV
and Parquet for $99 once. Future updates are not included. The underlying
FEMA source is free.
All 84 agency fields are preserved, plus total_paid_nominal, payment_status and
coordinate_status. Native camelCase names replace the old schema. The sample
selects evenly… See the full description on the dataset page: https://huggingface.co/datasets/claritystorm/fema-nfip-flood-insurance-claims.usda-crop-insurance-indemnities-weather
USDA Crop Insurance Indemnities 1989–2023
This repository contains a 1,000-row inspection sample from the corrected
4,173,884-row snapshot of USDA RMA Cause of Loss Summary of Business data.
All 35 commodity years, 1989–2023, are represented. Source files were retrieved
and hashed September 19, 2026. This is a single-table release with 65 fields.
Full snapshot details and availability
What changed
The financial mapping was rebuilt against the official 30-field… See the full description on the dataset page: https://huggingface.co/datasets/claritystorm/usda-crop-insurance-indemnities-weather.medical_insurance_data
Dataset Card for Medical Insurance Cost Prediction
The medical insurance dataset encompasses various factors influencing medical expenses, such as age, sex, BMI, smoking status, number of children, and region. This dataset serves as a foundation for training machine learning models capable of forecasting medical expenses for new policyholders.
Its purpose is to shed light on the pivotal elements contributing to increased insurance costs, aiding the company in making more informed… See the full description on the dataset page: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data.insurance-campaign-data
Key Features
Primary Research Focus:
Age vs Income correlation
Occupation, Household size
Marital Status
Dataset Highlights
Dataset shape: (15000, 61)
Number of features: 59
Generation date: 2025-07-20 13:56:12.559153
Random seed: 42
Feature Categories:
Customer Profile: 7 features
Asset Ownership: 6 features
Behavioral: 5 features
Product Portfolio: 5 features
Temporal: 5 features
Data types:
int64 41
float64 20
Name: count… See the full description on the dataset page: https://huggingface.co/datasets/nprak26/insurance-campaign-data.africa-synth-insurance-penetration-africa-all
Africa Synth Insurance Penetration Africa All | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: csv - Sector: economics_finance - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-insurance-penetration-africa-all.africa-synth-mortality-life-insurance-actuarial-all
African Life Insurance Actuarial | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: csv - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Health datasets help… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-mortality-life-insurance-actuarial-all.insurance-fraud-datasetmedical-insurance-charges-dataset
Dataset: Medical Insurance Cost
This is the dataset used to train and evaluate the health insurance cost prediction model for the RiskGuard project.
The main code repository can be found on GitHub.
Dataset Description
This dataset originates from Kaggle (Medical Cost Personal Datasets) and contains demographic and personal attributes of insurance customers. It is used to predict individual medical costs.
Data Columns
age: Age of the primary beneficiary… See the full description on the dataset page: https://huggingface.co/datasets/affnanation/medical-insurance-charges-dataset.insurance_customer_support_conversation
Dataset Card for Insurance Customer Support Conversation Dataset
This is a synthetic dataset generated by ChatGPT-4o.
Dataset Details
Field Descriptions
conversation:
Type: StringDescription: The entire text of the conversation between the customer and the agent, including both parties' dialogues.Example:
"Customer: Hello, I need to discuss the status of my insurance claim. It's been over a month, and I haven't received any updates.
Agent: Good afternoon… See the full description on the dataset page: https://huggingface.co/datasets/aibabyshark/insurance_customer_support_conversation.insurance-capital-adequacy-coherence-risk-v0.1What this repo is for
Detect capital stress early.
Focus
expected vs actual loss
reserve pressure
reinsurance buffer
capital trend
Why it matters
By the time ratings agencies react
it is already late.
za-egypt-insurance-claims-sample
za-egypt-insurance-claims-sample
A small sample of de-identified insurance claim records from South Africa (ZA) and Egypt (EG).
Dataset Summary
This dataset contains a sample of insurance claim records covering the South African and
Egyptian markets. It is intended as a lightweight example for exploring claims trends,
customer segmentation, and fraud-risk analysis. All records have been de-identified.
Total records: 80
Regions: South Africa (40), Egypt (40)… See the full description on the dataset page: https://huggingface.co/datasets/toolathon123/za-egypt-insurance-claims-sample.car-insurance-eda
Car Insurance Claim Analysis
Project Presentation
▶️ Watch the video presentation
Overview
This project presents an Exploratory Data Analysis (EDA) of the Car Insurance Claim dataset.The goal of the analysis is to explore which factors may influence whether an individual files an insurance claim.
The target variable in this dataset is OUTCOME, where:
0 = No claim
1 = Claim
Dataset Information
Dataset name: Car Insurance Claim Dataset
Source:… See the full description on the dataset page: https://huggingface.co/datasets/mayadeeb08/car-insurance-eda.medical-insuranceus-dental-insurance-acceptance-by-state-2026
US Dental Insurance Acceptance by State 2026
One row per US state plus the District of Columbia: 51 rows, 14 columns.
For each state it brings together, in a single table, numbers that are usually scattered across
several federal and association sources:
share of dentists accepting Medicaid patients (pct_dentists_medicaid), with the state's rank
adult Medicaid dental benefit level (medicaid_adult_dental_level: extensive / limited / emergency_only / none) and the annual cap when… See the full description on the dataset page: https://huggingface.co/datasets/tresor2k/us-dental-insurance-acceptance-by-state-2026.Insurance_Reviews_France
[!NOTE]
Dataset origin: https://www.kaggle.com/datasets/fedi1996/insurance-reviews-france
Context
French Dataset Insurance Reviews
Content
User reviews on mutual health insurance in France.
You can use this dataset for Sentiment Analysis.
Source = opinion-assurance.fr
health_insuranceinsurance-reserve-coherence-risk-v0.1What this repo is for
Detect reserve drift.
Focus
initial reserve vs exposure
updates vs evidence
reserve vs final payout
Why it matters
Bad reserves distort capital and risk.
insurance_customer_support_QA_resultRhesis-Insurance-Chatbot-Benchmark
Dataset Card for Rhesis Insurance Chatbot Benchmark
Description
The test set has been meticulously designed to evaluate the performance and robustness of insurance chatbots, specifically tailored for the insurance industry. This comprehensive evaluation spans critical dimensions including reliability and compliance, ensuring chatbots can adeptly handle diverse and complex queries. The test set addresses varied behaviors such as avoiding biased toxic, toxic, harmful, and… See the full description on the dataset page: https://huggingface.co/datasets/rhesis/Rhesis-Insurance-Chatbot-Benchmark.Insurance-Chatbot-Cross-border-Compliance-Harmless
Dataset Card for Cross-border Compliance Harmless
Description
The test set is designed to assess the performance of chatbots in the telecom and insurance industries, specifically focusing on the behaviors of reliability and the categories of harmless responses. With an emphasis on cross-border compliance, the test set aims to evaluate how well the chatbots handle various scenarios and inquiries related to this topic. Through comprehensive testing, chatbot developers can… See the full description on the dataset page: https://huggingface.co/datasets/rhesis/Insurance-Chatbot-Cross-border-Compliance-Harmless.Insurance-datainsurance_simulationinsurance-pred-charges-mlops-logsInsurance_Datasetinsurance-charge-mlops-logs