Healthcare27 cols · 200 rows
This dataset provides comprehensive, longitudinal synthetic patient records simulating chronic disease progression, including demographics, clinical encounters, vital signs, laboratory results, medications, and outcomes. Designed for safe AI/ML experimentation, it enables time-series modeling, predictive analytics, and healthcare research without patient privacy risks.
| encounter_type | lab_test_name | medication_name |
|---|
| outpatient | Hemoglobin A1c | Donepezil |
| outpatient | Blood glucose | Insulin glargine |
| inpatient | BNP | Furosemide |
patient_idgenderbirth_date+21 more
Healthcare16 cols · 200 rows
This dataset provides high-frequency, multi-sensor vital sign measurements from synthetic wearable devices, including heart rate, blood pressure, respiratory rate, blood oxygen saturation, and skin temperature. Each record is timestamped and linked to a user and device, with contextual information such as activity type, sensor status, and geolocation, making it ideal for time-series analysis, anomaly detection, and digital health research.
| activity_type | anomaly_flag | sensor_status |
|---|
| resting | false | normal |
| walking | false | normal |
| running | true | battery_low |
stream_iddevice_iduser_id+10 more
Finance16 cols · 200 rows
This dataset provides detailed, synthetic records of peer-to-peer payment transactions, including sender and receiver information, transaction amounts, statuses, device types, and fraud indicators. It is ideal for analyzing user payment behaviors, developing risk models, and designing fintech products, offering a robust foundation for segmentation and predictive analytics.
| currency | transaction_status | device_type |
|---|
| USD | completed | mobile |
| USD | pending | mobile |
| EUR | completed | desktop |
transaction_idsender_user_idreceiver_user_id+10 more
Healthcare20 cols · 200 rows
This dataset contains detailed, structured feedback from synthetic telemedicine consultations, including ratings on satisfaction, communication, technical quality, and free-text comments. It captures patient demographics, consultation context, and device usage, making it ideal for analyzing patient experience, modeling satisfaction drivers, and optimizing telemedicine services.
| issue_resolved | consultation_type | device_type |
|---|
| true | video | smartphone |
| true | video | laptop |
| true | video | tablet |
feedback_idconsultation_idpatient_id+14 more
Finance23 cols · 200 rows
This dataset provides detailed, simulated records of international payment transactions, including sender and recipient information, transaction amounts, currencies, risk scores, and AML/fraud flagging. It is ideal for developing, testing, and benchmarking anti-money laundering, fraud detection, and risk assessment models in cross-border financial environments.
| sender_name | sender_bank_name | recipient_name |
|---|
| Carlos Mendoza | Bank of America | Emma Johansson |
| Lina Schmidt | Deutsche Bank | Sophie Laurent |
| Sarah Lee | Wells Fargo | Minghao Zhang |
transaction_idtransaction_datetimeamount+17 more
Healthcare18 cols · 200 rows
This dataset provides detailed, synthetic logs of patient and operator interactions with connected medical devices, capturing device, user, compliance, and anomaly information. It enables comprehensive analysis of device usage patterns, operator behavior, procedural compliance, and early detection of anomalies or errors in clinical settings. The dataset is valuable for improving device usability, supporting regulatory audits, and enhancing patient safety.
| device_type | operator_role | interaction_type |
|---|
| InfusionPump-X100 | nurse | start |
| InfusionPump-X100 | nurse | pause |
| InfusionPump-X100 | nurse | resume |
log_idtimestampdevice_id+12 more
Healthcare20 cols · 200 rows
This dataset provides detailed records of emergency department triage decisions, including patient demographics, structured symptoms, vital signs, and triage outcomes. It enables urgent care optimization, patient flow modeling, and clinical research into triage patterns and outcomes. The comprehensive structure supports both operational analytics and advanced predictive modeling.
| sex | triage_scale | arrival_mode |
|---|
| female | CTAS | ambulance |
| male | MTS | walk-in |
| female | ESI | walk-in |
triage_idpatient_idvisit_id+14 more
Social Media22 cols · 200 rows
This dataset provides detailed, time-series metrics and engagement logs from synthetic social media influencer accounts, including sentiment and virality scores, campaign associations, and granular engagement details. It enables comprehensive analysis of influencer performance, campaign effectiveness, and audience sentiment across multiple platforms, making it ideal for social media analytics, marketing optimization, and trend forecasting.
| platform | followers_count | is_promoted |
|---|
| Instagram | 1230 | true |
| YouTube | 284000 | false |
| TikTok | 41250 | false |
influencer_idinfluencer_handlecampaign_id+16 more
Finance18 cols · 200 rows
This dataset provides detailed, household-level records of income and expenses, including transaction categories, payment methods, recurrence patterns, and basic household demographics. It enables comprehensive budgeting analysis, supports financial literacy initiatives, and can power personalized financial recommendations and research into household spending habits.
| record_type | category | subcategory |
|---|
| income | salary | – |
| expense | rent | – |
| income | investment | dividends |
household_idrecord_idamount+12 more
Logistics20 cols · 200 rows
This dataset provides detailed, event-level logs of warehouse robotics task assignments, capturing robot actions, inventory movements, path metrics, timing, and efficiency scores. It enables granular analysis of robot performance, task throughput, and operational bottlenecks, making it ideal for optimizing warehouse automation and robotics workflows.
| task_type | task_status | errors_encountered |
|---|
| pick | completed | – |
| move | failed | E109, E401 |
| restock | completed | – |
task_idrobot_idinventory_item_id+14 more
Finance28 cols · 200 rows
This dataset provides detailed records of credit and loan applications, including applicant demographics, application details, decision outcomes, and annotated decision logic trails. It is designed to enable research in fairness, bias detection, and explainable AI by capturing both the reasoning behind decisions and any subsequent appeals. The dataset is ideal for developing and evaluating transparent, equitable credit decision systems.
| loan_purpose | applicant_employment_status | applicant_marital_status |
|---|
| personal | employed | single |
| auto | self-employed | married |
| personal | unemployed | single |
application_idapplicant_idapplication_date+22 more
Healthcare20 cols · 200 rows
This dataset provides paired medical imaging metadata and detailed radiology-style report texts, enabling the development and evaluation of AI models for automated report generation. Each record links imaging attributes, patient demographics, and structured report sections, making it ideal for natural language processing, computer vision, and clinical decision support research.
| modality | image_view | institution_name |
|---|
| X-ray | PA | Metro General Hospital |
| X-ray | Lateral | Metro General Hospital |
| MRI | Axial | Riverbend Imaging Center |
report_idstudy_idimage_id+14 more
Logistics24 cols · 200 rows
This dataset provides a comprehensive record of simulated supply chain route disruptions, including scenario definitions, event details, affected routes, and operational logs. It enables logistics professionals to analyze the impact of various disruption types, optimize routing strategies, and enhance supply chain resilience through scenario-based planning.
| scenario_name | event_type | route_name |
|---|
| East Coast Hurricane Impact | natural_disaster | Charlotte to Norfolk Freight Link |
| Transcontinental Snowstorm Disruption | natural_disaster | Chicago-St Paul Express |
| Pacific Port Crane Malfunction | equipment_failure | Seattle to Yokohama Sea Lane |
scenario_idscenario_descriptionevent_id+18 more
Finance17 cols · 200 rows
This dataset provides a comprehensive synthetic network of financial transactions, detailing entities, transaction flows, and inter-entity relationships for advanced anti-fraud and network analytics. With labeled fraud instances and relationship metadata, it enables the development and benchmarking of anomaly detection, graph learning, and risk assessment models in financial contexts.
| entity_type | entity_name | transaction_type |
|---|
| individual | Ava Martinez | deposit |
| business | NovaTech LLC | payment |
| financial_institution | Greenfield Bank | deposit |
entity_identity_registration_dateentity_country+11 more
Healthcare34 cols · 200 rows
This dataset provides comprehensive, longitudinal synthetic patient records that integrate structured electronic health record (EHR) data with detailed medical imaging metadata. It enables multi-modal diagnostic research, AI model development, and healthcare analytics by linking patient demographics, encounters, clinical events, imaging studies, and AI-generated findings in a flat, analysis-ready format.
| first_name | last_name | encounter_type |
|---|
| Elijah | Nguyen | outpatient |
| Elijah | Nguyen | outpatient |
| Maria | Garcia | inpatient |
patient_iddate_of_birthsex+28 more
Logistics18 cols · 200 rows
This dataset provides granular, time-stamped records of supply chain product prices, including supplier, origin, destination, transportation mode, and volatility metrics. It enables detailed risk analysis, price trend tracking, and forecasting for procurement and logistics optimization. The data structure supports multi-dimensional analysis across products, suppliers, geographies, and time periods.
| product_name | supplier_name | origin_country |
|---|
| Premium Steel Rods XL | Metallurgica Ltd. | CN |
| High Precision Lens Type-A | OptiPrime Co. | JP |
| Organic Wheat Grain Bulk | AgroExport SRL | UA |
price_record_idproduct_idsupplier_id+12 more
Finance27 cols · 200 rows
This dataset simulates detailed financial statement records for public and private companies, enriched with fraud risk indicators and audit outcomes. It is designed for developing and benchmarking machine learning models to detect financial statement fraud, with comprehensive fields for financial metrics, suspicious activity counts, and risk scoring. The dataset is ideal for forensic analysis, risk assessment, and audit research in the finance industry.
| company_name | fiscal_period | company_type |
|---|
| Horizon Retail Ltd. | FY | Private |
| BlueSky Biotech PLC | Q2 | Public |
| Atlas Mining Corp. | Q1 | Private |
record_idcompany_idfiscal_year+21 more
Healthcare12 cols · 200 rows
This dataset contains synthetic radiology report texts with structured fields for patient demographics, imaging modality, body part examined, and detailed report content. It includes optional annotations for clinical entities, report classifications, and summaries, making it ideal for developing and benchmarking NLP models in medical imaging. The dataset supports entity recognition, classification, and summarization tasks, facilitating research in healthcare AI and clinical decision support.
| modality | report_classification | sex |
|---|
| X-ray | Normal | Female |
| CT | Abnormal | Male |
| MRI | Abnormal | Female |
report_idpatient_idstudy_date+6 more
Finance18 cols · 200 rows
This dataset provides detailed, chronological transaction records for retail banking customers, including transaction types, amounts, merchant categories, account details, and geolocation data. Designed for advanced analytics, it enables modeling of spending patterns, customer segmentation, and risk assessment for financial institutions. The comprehensive structure supports both behavioral analysis and operational monitoring.
| transaction_type | merchant_name | merchant_category |
|---|
| debit | Target | groceries |
| deposit | Abco Corp Payroll | salary |
| withdrawal | ATM Wells Fargo | atm |
customer_idtransaction_idtransaction_datetime+12 more
Insurance21 cols · 200 rows
This dataset provides a comprehensive, privacy-preserving linkage between insurance claims and anonymized medical records, including claim details, patient demographics, provider information, and medical coding. It enables advanced analytics for healthcare utilization, cost analysis, and outcomes research across the insurance and medical sectors.
| claim_status | provider_name | service_type |
|---|
| submitted | Lakeshore Family Clinic | outpatient |
| approved | Metro Heart Institute | inpatient |
| pending | Bright Eyes Vision Care | preventive |
claim_idpolicy_idanonymized_patient_id+15 more
Logistics20 cols · 200 rows
This dataset provides comprehensive, time-stamped alerts and logs of supply chain disruptions across diverse industries, detailing event type, severity, location, impacted products, and estimated financial consequences. Designed for risk analysis and resilience modeling, it enables organizations to monitor, analyze, and respond to disruptions affecting their supply chains. The dataset supports proactive risk mitigation, supplier management, and industry-wide trend analysis.
| company_name | disruption_type | status |
|---|
| Global Motors Corp | Material Shortage | Active |
| FreshHarvest Ltd. | Natural Disaster | Active |
| NanoLogic | Supplier Failure | Escalated |
alert_idalert_datetimeindustry+14 more
Healthcare14 cols · 200 rows
This dataset contains granular, timestamped sensor readings from wearable medical devices, including user and device identifiers, sensor types, measured values, and contextual metadata. It enables advanced research in health monitoring, anomaly detection, device performance, and personalized care analytics, supporting both clinical and consumer health applications.
| sensor_type | unit | sensor_status |
|---|
| heart_rate | bpm | normal |
| temperature | Celsius | normal |
| spo2 | % | normal |
stream_iddevice_iduser_id+8 more
Insurance21 cols · 200 rows
This dataset provides granular vehicle telemetry and driver action records, including speed, acceleration, location, and risk event indicators, enabling comprehensive analysis of driving behavior and risk profiling. Designed for insurers, telematics providers, and transportation safety analysts, it supports advanced modeling of driver risk and safety interventions.
| seatbelt_fastened | harsh_acceleration | road_type |
|---|
| true | false | urban |
| true | false | urban |
| false | false | urban |
record_iddriver_idvehicle_id+15 more
Finance13 cols · 200 rows
This dataset provides high-resolution, synthetic minute-by-minute OHLC price and trading volume data for multiple cryptocurrencies across various simulated exchanges and trading pairs. It is ideal for developing, testing, and benchmarking algorithmic trading strategies, as well as for financial modeling and market microstructure research. The dataset's structure supports robust time-series analysis and cross-market comparisons.
| base_currency | quote_currency | exchange |
|---|
| BTC | USD | Binance |
| ETH | USD | Binance |
| BTC | EUR | Kraken |
record_idsymbolinterval_start+7 more
Finance22 cols · 200 rows
This dataset provides detailed, labeled records of simulated financial transactions, including account, customer, merchant, and contextual data, with explicit fraud indicators and scenario types. It enables robust development, benchmarking, and evaluation of fraud detection models for banking and fintech applications, supporting both supervised and unsupervised analytics.
| transaction_type | merchant_name | merchant_category |
|---|
| purchase | BestBuy | electronics |
| fee | Bank of Pacific | banking |
| withdrawal | – | – |
transaction_idaccount_idcustomer_id+16 more
Healthcare15 cols · 200 rows
This dataset provides detailed logs of healthcare device fault incidents, including operational hours at failure, error codes, severity, and maintenance actions taken. It enables predictive maintenance, root cause analysis, and reliability modeling for clinical technology environments, supporting improved uptime and patient safety.
| device_type | severity_level | incident_status |
|---|
| CT Scanner Pro 7000 | critical | resolved |
| MRI Vision 3T | moderate | closed |
| ECG Monitor S-12 | critical | resolved |
incident_iddevice_iddevice_location+9 more
Insurance20 cols · 200 rows
This dataset contains detailed synthetic records of medical insurance claims, including patient demographics, provider information, claim amounts, service dates, and labeled indicators of fraudulent activity. Designed for machine learning and analytics, it enables robust research and development of fraud detection models in healthcare and insurance. The dataset supports granular analysis of claim patterns, provider behaviors, and patient demographics to identify and prevent fraudulent claims.
| claim_status | patient_gender | provider_specialty |
|---|
| approved | female | Family Practice |
| approved | male | Psychiatry |
| approved | female | Cardiology |
claim_idpatient_idprovider_id+14 more
Healthcare14 cols · 200 rows
This dataset provides high-frequency, time-stamped vital sign measurements for anonymized patients, including heart rate, blood pressure, respiratory rate, oxygen saturation, body temperature, and consciousness level. Designed for health monitoring and early warning system development, it supports longitudinal patient analysis and real-time clinical decision support. Device and location metadata enable context-aware analytics and integration with hospital systems.
| heart_rate | consciousness_level | measurement_location |
|---|
| 82 | alert | ICU |
| 110 | verbal | ward |
| – | alert | home |
patient_idrecord_idtimestamp+8 more
Healthcare22 cols · 200 rows
This dataset provides detailed, transaction-level records of prescription drug purchases across multiple pharmacies, including information on drugs, pharmacies, prescribers, and patient demographics. It is ideal for analyzing purchase trends, forecasting demand, optimizing inventory, and supporting public health research or regulatory oversight. The dataset's granularity enables deep insights into drug utilization patterns and supply chain efficiency.
| pharmacy_name | pharmacy_state | drug_name |
|---|
| Metro City Pharmacy | MA | Atorvastatin |
| Healthwise Drugs | AZ | Amoxicillin |
| Sun Valley Meds | CA | Metformin |
purchase_idpharmacy_idpharmacy_street_address+16 more
Logistics26 cols · 200 rows
This dataset provides detailed records of freight shipments, including route information, timing, costs, shipment characteristics, and delivery performance metrics. It enables comprehensive analysis of route efficiency, cost drivers, and on-time delivery, supporting logistics planners in optimizing routes and reducing operational expenses. The dataset is ideal for benchmarking, predictive analytics, and supply chain optimization.
| carrier_name | vehicle_type | shipment_type |
|---|
| TransAmerican Freight | truck | general |
| Canadian Express Logistics | truck | general |
| EuroMarine Shipping Co. | ship | general |
shipment_idroute_idorigin_city+20 more
Finance13 cols · 200 rows
This dataset aggregates real-time sentiment scores and metadata for financial news headlines, enabling rapid detection of market-moving events and trends. It includes headline text, publication details, sentiment analysis, relevance to financial markets, and links to affected stocks and sectors. Ideal for quantitative trading, risk monitoring, and financial news analytics.
| source_name | sentiment_label | event_type |
|---|
| Reuters | positive | earnings |
| Handelsblatt | neutral | macroeconomic |
| CNBC | positive | earnings |
headline_idheadline_textpublished_datetime+7 more
Logistics24 cols · 200 rows
This dataset provides detailed records of last-mile delivery events, including scheduled, predicted, and actual delivery times, route and traffic information, and customer availability windows. It is designed to support analysis and optimization of ETA predictions, enabling improved delivery accuracy and operational efficiency for logistics providers. The dataset is ideal for building predictive models, evaluating delivery performance, and identifying factors affecting last-mile delivery outcomes.
| delivery_status | traffic_condition | weather_condition |
|---|
| delivered | moderate | clear |
| delayed | heavy | rain |
| delivered | light | clear |
delivery_idorder_idcustomer_id+18 more
Healthcare18 cols · 200 rows
This dataset contains detailed patient satisfaction survey responses from hospital patients, including quantitative ratings on various aspects of care and open-ended feedback for improvement. It enables comprehensive analysis of patient experience by department, facility, and demographic factors, supporting quality improvement and benchmarking initiatives.
| admission_type | gender | would_recommend |
|---|
| inpatient | female | true |
| emergency | male | true |
| outpatient | non-binary | false |
response_idpatient_idsurvey_date+12 more
Healthcare16 cols · 200 rows
This dataset provides detailed, structured logs of healthcare chatbot interactions, capturing every message exchanged, detected intents, response times, and user feedback. It enables comprehensive analysis of patient engagement, chatbot performance, and conversational trends, supporting improvements in digital healthcare delivery and patient satisfaction.
| sender_type | language | resolved |
|---|
| user | en | – |
| chatbot | en | – |
| user | en | – |
interaction_iduser_idchatbot_id+10 more
Logistics14 cols · 200 rows
This dataset provides granular, time-stamped temperature and humidity logs across cold chain logistics, including shipment, container, and sensor identifiers, geolocation, and alarm events. It enables comprehensive monitoring, compliance verification, and rapid response to deviations, supporting safety and quality control for temperature-sensitive products.
| temperature_celsius | alarm_triggered | alarm_type |
|---|
| 4.3 | false | none |
| 5.1 | false | none |
| 3.7 | false | none |
log_idshipment_idcontainer_id+8 more
Finance27 cols · 200 rows
This dataset provides detailed microloan repayment behavior sequences, including payment timing, amounts, and loan outcomes, linked to customer demographics and loan characteristics. It is designed to support credit risk modeling, repayment pattern analysis, and the development of responsible lending strategies for fintech providers. The flat structure enables easy integration with analytics platforms and machine learning workflows.
| repayment_schedule_type | defaulted | final_loan_status |
|---|
| weekly | false | repaid |
| monthly | false | repaid |
| monthly | true | defaulted |
repayment_sequence_idcustomer_idloan_id+21 more
Healthcare19 cols · 200 rows
This dataset contains detailed, structured feedback from patients following outpatient clinic visits, including satisfaction ratings, comments, and key experience metrics. It enables healthcare organizations to analyze patient experience, identify areas for improvement, and monitor the impact of quality initiatives at the clinic and provider level.
| would_recommend | follow_up_requested | response_status |
|---|
| true | false | closed |
| false | true | escalated |
| true | false | closed |
feedback_idvisit_idpatient_id+13 more
Insurance31 cols · 200 rows
This dataset provides a comprehensive view of insurance policyholders, their demographic details, policy information, claims history, and churn status for both life and auto insurance products. It is designed to support predictive modeling of customer attrition, enabling insurers to identify at-risk customers and develop targeted retention strategies. The inclusion of satisfaction scores, contact history, and churn reasons makes it ideal for advanced analytics and customer experience optimization.
| first_name | last_name | policy_type |
|---|
| Amelia | Richards | auto |
| Omar | Al-Mansouri | life |
| Priya | Mehra | auto |
policyholder_iddate_of_birthgender+25 more
Logistics21 cols · 200 rows
This dataset provides a comprehensive evaluation of third-party logistics vendors, including detailed scoring on reliability, delivery timeliness, and cost, along with contact and operational information. It enables organizations to compare and optimize their logistics partnerships based on objective, time-bound performance metrics. The dataset supports vendor selection, performance monitoring, and supply chain optimization initiatives.
| vendor_name | reliability_score | is_preferred_vendor |
|---|
| TransGlobe Logistics LLC | 8.9 | true |
| Arctic Freight Solutions | 6.1 | false |
| BluePeak Logistics GmbH | 9.3 | true |
vendor_idcontact_personcontact_email+15 more
Finance18 cols · 200 rows
This dataset provides detailed, event-level records of digital wallet user activities, including monetary transactions and non-monetary actions, with rich contextual information such as device, location, channel, and session sequence. It enables comprehensive analysis of user behavioral patterns, session flows, and transaction outcomes for engagement optimization and fraud detection. The dataset is ideal for building predictive models, anomaly detection systems, and user segmentation strategies in digital finance.
| activity_type | currency | device_type |
|---|
| login | – | mobile |
| balance_check | – | mobile |
| payment | USD | mobile |
user_idactivity_sequence_idtransaction_id+12 more
Healthcare15 cols · 200 rows
This dataset provides detailed information on average wait times for healthcare specialists across various facilities, including specialty and facility identifiers, location details, and wait time statistics. It enables healthcare providers and administrators to manage patient expectations, optimize resource allocation, and benchmark performance across specialties and locations. The data is ideal for operational analysis, patient communication, and healthcare service planning.
| specialty_name | facility_name | facility_type |
|---|
| Cardiology | Metropolitan General Hospital | Hospital |
| Dermatology | Sunshine Family Clinic | Clinic |
| Oncology | Starlight Oncology Center | Specialty Center |
specialty_idfacility_idaddress_street+9 more
Healthcare22 cols · 200 rows
This dataset details provider-to-provider referral connections within healthcare networks, including provider identifiers, specialties, referral reasons, dates, and statuses. It enables comprehensive analysis of referral patterns, network efficiency, and patient flow optimization, supporting both operational improvements and research into care coordination.
| referring_provider_name | referred_provider_name | referral_status |
|---|
| Dr. Alice Nguyen | Dr. John Carter | completed |
| Dr. Vivian Zhou | Dr. Steven Patel | completed |
| Dr. Taylor Evans | Dr. Paula Lee | in-progress |
referral_idreferring_provider_idreferring_provider_npi+16 more
Finance19 cols · 200 rows
This dataset provides detailed, time-ordered sequences of price and volume movements for major cryptocurrencies across leading exchanges. Each record includes summary statistics, granular price/volume points, and contextual metadata, making it ideal for quantitative research, algorithmic trading, and anomaly detection in crypto markets.
| crypto_name | exchange_name | sequence_label |
|---|
| Bitcoin | Binance | bullish |
| Ethereum | Kraken | bullish |
| Tether | Coinbase | stable |
sequence_idcrypto_symbolbase_currency+13 more
Healthcare22 cols · 200 rows
This dataset provides detailed records of medical appointment bookings, capturing patient demographics, booking channels, scheduling lead times, provider and clinic details, and appointment outcomes. It enables analysis of patient booking behaviors, identification of optimal scheduling windows, and detection of overbooking trends to improve healthcare operational efficiency and patient experience.
| appointment_type | clinic_name | appointment_status |
|---|
| checkup | Downtown Health Center | completed |
| urgent | Kids Medical Group | booked |
| specialist | Heartwell Cardiology | completed |
appointment_idpatient_idpatient_age+16 more
Logistics21 cols · 200 rows
This dataset provides detailed, period-based inventory turnover metrics for each product in every warehouse, including quantities, turnover rates, and inventory movement. It enables granular analysis to optimize stock levels, reduce holding costs, and improve supply chain efficiency. The dataset is ideal for operational analytics, forecasting, and strategic inventory management.
| warehouse_name | product_name | product_category |
|---|
| Northwest Fulfillment Center | Standard Widget | Widgets |
| Atlanta Metro Warehouse | Deluxe Gadget | Gadgets |
| Los Angeles Central DC | Economy Widget | Widgets |
warehouse_idwarehouse_street_addresswarehouse_city+15 more
Healthcare19 cols · 200 rows
This dataset provides detailed, time-stamped transcripts of telemedicine consultations, capturing speaker roles, utterance sequences, and session metadata for each interaction. Designed for training and evaluating healthcare NLP assistants, it enables research in medical dialogue understanding, intent recognition, and clinical documentation automation while supporting privacy and compliance requirements.
| provider_role | language | speaker_type |
|---|
| physician | en | provider |
| physician | en | patient |
| nurse | es | provider |
session_idtranscript_idsession_start_datetime+13 more
Finance20 cols · 200 rows
This dataset provides detailed, step-level tracking of user journeys through online loan application funnels, including timestamps, device and location data, step statuses, and error information. It enables in-depth analysis of user behavior, identification of process bottlenecks, and optimization of digital lending conversion rates. Ideal for financial institutions seeking to improve their digital onboarding and loan origination processes.
| funnel_step | step_status | device_type |
|---|
| start | completed | desktop |
| personal_info | completed | desktop |
| review | completed | desktop |
funnel_event_iduser_idsession_id+14 more
Logistics24 cols · 200 rows
This dataset provides granular, structured information on last-mile delivery routes, including route assignments, delivery stops, timing, and package details. It enables comprehensive analysis and simulation of logistics operations to optimize delivery efficiency, reduce operational costs, and improve customer satisfaction. The flat schema design supports integration with mapping, routing, and analytics platforms.
| total_distance_km | delivery_address_country | delivery_status |
|---|
| 41.2 | USA | completed |
| 41.2 | USA | completed |
| 41.2 | USA | completed |
route_idvehicle_iddriver_id+18 more
Finance22 cols · 200 rows
This dataset provides comprehensive, real-time records of suspicious financial transactions flagged for potential fraud in digital banking platforms. It includes detailed transaction data, risk scores, fraud patterns, investigation outcomes, and contextual information such as device, channel, and location. Ideal for developing and benchmarking fraud detection models, auditing risk management processes, and supporting regulatory compliance.
| transaction_type | merchant_name | merchant_category |
|---|
| purchase | Target | retail |
| payment | Starbucks | coffee_shop |
| purchase | Zalando | e-commerce |
alert_idtransaction_idaccount_id+16 more
Healthcare22 cols · 200 rows
This dataset provides a comprehensive record of prescription drug prices across multiple pharmacies, including detailed drug identifiers, pharmacy locations, pricing, insurance acceptance, and discount availability. It enables robust cost analysis, price comparison, and supports healthcare networks in optimizing pricing strategies and improving patient access to affordable medications.
| drug_name | dosage_form | pharmacy_name |
|---|
| Atorvastatin | tablet | Walgreens |
| Metformin | tablet | CVS Pharmacy |
| Lisinopril | tablet | Walmart Pharmacy |
price_iddrug_ndcstrength+16 more
Finance29 cols · 200 rows
This dataset contains detailed synthetic records of credit card applications, including applicant demographics, financial profiles, application outcomes, and risk assessments. It is ideal for validating credit scoring models, detecting bias, and supporting regulatory compliance or fairness analysis in financial services. The flat schema design enables seamless integration with analytics and machine learning workflows.
| application_status | employment_status | marital_status |
|---|
| approved | employed | single |
| approved | other | married |
| declined | unemployed | single |
application_idapplicant_idapplication_date+23 more
Insurance25 cols · 200 rows
This dataset provides detailed records of healthcare insurance claim submissions, including patient demographics, provider information, claim amounts, reimbursement outcomes, denial reasons, and fraud indicators. It is ideal for operational analytics, process automation, and advanced fraud detection in healthcare insurance workflows.
| claim_status | patient_first_name | patient_last_name |
|---|
| approved | Emily | Turner |
| approved | Arjun | Menon |
| approved | Hans | Schneider |
claim_idpatient_idprovider_id+19 more
Healthcare37 cols · 200 rows
This dataset provides detailed logs of healthcare appointment bookings, enriched with patient demographics, medical history, and communication records such as reminders. It enables comprehensive analysis of no-show risk factors, supports predictive modeling, and helps optimize scheduling efficiency in clinical settings.
| appointment_status | insurance_type | reminder_type |
|---|
| attended | private | sms |
| attended | public | phone |
| no-show | public | email |
appointment_idpatient_idappointment_datetime+31 more
Logistics27 cols · 200 rows
This dataset provides detailed logs of urgent medical supply deliveries to hospitals, capturing shipment contents, delivery routes, timing, vehicle and driver details, and on-time performance. Designed to support supply chain resilience and AI-driven allocation, it enables analysis of delivery efficiency, incident patterns, and resource utilization across emergency medical logistics networks.
| hospital_name | shipment_type | vehicle_type |
|---|
| Metro General Hospital | PPE | van |
| St. Francis Medical Center | blood | ambulance |
| Riverside Regional Hospital | ventilator | ambulance |
delivery_idshipment_idhospital_id+21 more
E-commerce17 cols · 200 rows
This dataset provides a comprehensive view of customer product reviews, including detailed ratings, review text, sentiment analysis, and user demographics such as age, gender, and location. It enables advanced sentiment analysis, natural language processing, and customer satisfaction research, making it ideal for businesses seeking to understand product perception and improve customer experience.
| review_title | verified_purchase | sentiment_label |
|---|
| Great Value! | true | positive |
| Did not work as expected | true | negative |
| It’s okay | false | neutral |
review_idcustomer_idproduct_id+11 more
E-commerce20 cols · 200 rows
This dataset provides granular, item-level retail purchase transaction records, including customer, product, store, and payment details. It is ideal for mining sales patterns, segmenting customers, powering recommendation systems, and forecasting demand across retail locations. The schema supports robust analytics for operational and strategic retail decision-making.
| store_name | product_name | product_category |
|---|
| MetroMart Downtown | 4K Ultra TV 55in | Electronics |
| MetroMart Suburbs | Organic Milk 1gal | Dairy |
| Seattle Urban Market | Bluetooth Speaker | Electronics |
transaction_idtransaction_datetimestore_id+14 more
Logistics18 cols · 200 rows
This dataset provides a granular log of all inventory movements within a warehouse, including item details, movement types, source and destination locations, operator information, and contextual notes. It enables precise tracking of stock flow, supports inventory accuracy analysis, and facilitates workflow optimization for warehouse operations. The dataset is ideal for supply chain analytics, process improvement, and operational auditing.
| item_name | movement_type | source_location_name |
|---|
| Plastic Storage Bin | inbound | – |
| Aluminum Sheet Roll | outbound | Rack 2B |
| Corrugated Box Large | inbound | – |
movement_idtimestampitem_id+12 more
Finance27 cols · 200 rows
This dataset provides detailed, step-by-step workflow traces for consumer lending applications, including applicant demographics, application status changes, review and underwriting timelines, and funding outcomes. It enables comprehensive analysis of lending process efficiency, bottlenecks, and applicant characteristics for process optimization and risk assessment.
| current_status | decision_reason | applicant_employment_status |
|---|
| submitted | – | employed |
| submitted | – | student |
| submitted | – | self_employed |
application_idcustomer_idapplication_created_datetime+21 more
Finance21 cols · 201 rows
This dataset provides a comprehensive time series record of synthetic investment portfolio holdings, including detailed transactions, valuations, risk metrics, and attribution factors. It is ideal for portfolio analytics, risk modeling, and performance attribution studies, enabling in-depth analysis of investment strategies and exposures over time.
| portfolio_name | instrument_type | instrument_name |
|---|
| Global Equity Growth | equity | Apple Inc. |
| Wealth Builder | equity | Microsoft Corporation |
| Dividend Harvest | etf | Vanguard Total Stock Market ETF |
portfolio_idholding_idas_of_date+15 more
Healthcare23 cols · 200 rows
This dataset provides anonymized, longitudinal summaries of patient health records, including detailed information on encounters, diagnoses, laboratory results, and medications. Designed for cohort analysis and predictive healthcare modeling, it enables researchers and analysts to track patient journeys, identify trends, and develop clinical insights while maintaining strict privacy standards.
| encounter_type | sex | medication_name |
|---|
| inpatient | female | Lisinopril |
| outpatient | male | Sertraline |
| emergency | female | – |
patient_idencounter_idencounter_date+17 more