Finance15 cols · 200 rows
This dataset contains detailed, timestamped financial transactions from retail banks and payment processors, including account, merchant, channel, and location information. Designed for in-depth analysis of temporal spending patterns, fraud detection, and channel usage trends, it supports a wide range of financial analytics and business intelligence applications.
| merchant_name | transaction_type | transaction_status |
|---|
| Starbucks | purchase | completed |
| – | deposit | completed |
| Carrefour | purchase | completed |
transaction_idaccount_idtransaction_timestamp+9 more
Healthcare36 cols · 200 rows
This dataset provides detailed records of scheduled healthcare appointments, including patient demographics, appointment logistics, provider information, reminder history, and final outcomes such as no-shows or cancellations. It enables in-depth analysis of factors influencing appointment attendance and supports predictive modeling to reduce no-show rates and improve healthcare delivery.
| appointment_type | provider_name | appointment_status |
|---|
| check-up | Dr. Michael Nguyen | completed |
| consultation | Dr. Alicia Chen | completed |
| check-up | Dr. Emily Harrington | no-show |
appointment_idpatient_idpatient_gender+30 more
E-commerce12 cols · 200 rows
This dataset contains detailed e-commerce product reviews, including review text, star ratings, sentiment labels, and metadata such as helpful votes and verified purchase status. It is ideal for training and evaluating sentiment analysis models, understanding customer feedback, and powering recommendation engines. The rich structure supports both NLP research and practical business applications.
| product_name | review_title | sentiment_label |
|---|
| Wireless Bluetooth Earbuds | Amazing Sound Quality! | positive |
| Stainless Steel Water Bottle | Keeps Drinks Cold For Hours | positive |
| Foldable Laptop Stand | Makes Working Easier | positive |
review_idproduct_iduser_id+6 more
Finance18 cols · 200 rows
This dataset provides detailed records of credit card accounts, including current and optimal credit limits, risk and utilization metrics, payment history, and historical limit adjustments. Designed for credit risk modeling and customer optimization, it supports advanced analytics for limit management, customer segmentation, and predictive modeling in financial services.
| account_status | payment_history_status | employment_status |
|---|
| active | on_time | employed |
| active | on_time | employed |
| active | late | student |
account_idcustomer_idaccount_open_date+12 more
Logistics31 cols · 200 rows
This dataset provides comprehensive, transaction-level records of pharmaceutical inventory supply chains, including order placement, shipment tracking, and storage history at destination facilities. It enables detailed analysis of logistics performance, inventory management, and stockout events, supporting optimization and risk mitigation in pharmaceutical distribution networks.
| supplier_name | product_name | order_status |
|---|
| Global Pharma Inc. | Atorvastatin Calcium Tablets | delivered |
| Northway Biologics Ltd. | Influenza Vaccine Quadrivalent | shipped |
| Cardio Health Solutions | Metoprolol Tartrate Tablets | delivered |
order_idorder_datesupplier_id+25 more
Technology20 cols · 200 rows
This dataset provides detailed records of customer support case histories, including escalation events, response and resolution times, agent assignments, and customer satisfaction ratings. It is ideal for analyzing support workflows, identifying escalation patterns, and optimizing customer service processes across product categories.
| customer_name | case_status | assigned_agent_name |
|---|
| Maria Fernández | closed | Noah Williams |
| Ananya Ghosh | resolved | Lars Schmidt |
| Jinwoo Park | closed | Ava Johnson |
case_idcustomer_idcustomer_email+14 more
Energy21 cols · 201 rows
This dataset provides detailed synthetic logs of sensor readings, outage events, and fault detections across smart grid substations. It enables comprehensive analysis of grid reliability, fault diagnosis, and response strategies, supporting research and development in smart grid resilience and automation. The flat schema ensures compatibility with a wide range of analytics and machine learning applications.
| substation_name | sensor_type | outage_type |
|---|
| Grand Oak North | voltage | – |
| Silver Valley | current | – |
| Lakeside Relay Station | breaker_status | – |
substation_idlocation_latitudelocation_longitude+15 more
Finance18 cols · 200 rows
This dataset provides detailed, labeled banking transaction records, including transaction amounts, merchant details, categories, and recurrence information. It is ideal for developing and benchmarking expense tracking, personal finance management, and automated categorization tools. The dataset enables granular financial analysis and supports machine learning applications for transaction classification.
| merchant_name | category | subcategory |
|---|
| Whole Foods Market | Groceries | Supermarkets |
| ACME Payroll | Salary | – |
| Uber | Transportation | Taxi/Rideshare |
transaction_idaccount_idtransaction_date+12 more
Logistics23 cols · 200 rows
This dataset provides detailed records of failed and delayed e-commerce deliveries, including standardized reason codes, logistics partner information, delivery attempts, and resolution details. It enables in-depth analysis of delivery exceptions to identify bottlenecks, improve logistics efficiency, and enhance customer satisfaction. The data is structured for easy integration with analytics platforms and operational dashboards.
| exception_type | logistics_partner_name | exception_status |
|---|
| delayed | FastTrack Logistics | resolved |
| failed | Maple Express | open |
| lost | Pacific Shippers | escalated |
exception_idorder_idcustomer_id+17 more
Finance21 cols · 200 rows
This dataset provides detailed logs of support ticket interactions for financial technology products, capturing issue types, escalation events, resolution times, agent assignments, and customer satisfaction ratings. It enables in-depth analysis of support efficiency, automation opportunities, and escalation trends, making it valuable for optimizing customer service operations and product support strategies.
| customer_name | product_name | issue_type |
|---|
| Patricia Lee | FinFlow Mobile Banking | login |
| Samantha Patel | PayStream Wallet | transaction |
| Jonathan Wu | InvestSuite Pro | account |
ticket_idsubmitted_datetimecustomer_id+15 more
Healthcare11 cols · 200 rows
This dataset provides detailed, synthetic healthcare chatbot conversations with annotated intent labels, message sequencing, and extracted entities. Designed for training and evaluating conversational AI, it supports intent classification, dialogue modeling, and entity recognition in healthcare virtual assistants. The dataset enables robust analysis of user-bot interactions for improved patient engagement and automation.
| sender_type | intent_label | conversation_topic |
|---|
| user | book_appointment | appointments |
| bot | request_time | appointments |
| user | provide_time | appointments |
transcript_idmessage_idmessage_order+5 more
Energy16 cols · 200 rows
This dataset provides high-frequency, household-level IoT sensor readings of energy consumption, power, voltage, and current, along with contextual information such as appliance type, room location, occupancy, and environmental conditions. It enables detailed analysis of residential energy patterns for smart grid optimization, demand forecasting, and personalized energy-saving recommendations.
| sensor_type | appliance_type | household_type |
|---|
| smart_meter | – | detached_house |
| appliance_monitor | refrigerator | apartment |
| plug | lighting | apartment |
household_idsensor_idtimestamp+10 more
Healthcare26 cols · 200 rows
This dataset provides a comprehensive view of healthcare insurance payment denials, integrating financial, clinical, and administrative details for each denial event. It enables in-depth analysis of denial causes, patterns, and outcomes, supporting process optimization, revenue cycle management, and predictive denial analytics for healthcare providers and insurers.
| claim_status | payer_name | provider_name |
|---|
| denied | WellCare Partners | Green Valley Medical Group |
| denied | Blue Horizon Health | Atlantic Cardiac Specialists |
| denied | Unity Insurance | Hillside Family Practice |
denial_idclaim_idpatient_id+20 more
Healthcare20 cols · 200 rows
This dataset provides detailed records of healthcare provider shift schedules, including built-in scheduling conflicts and overtime indicators. It enables analysis and optimization of staff allocation, identification of resource bottlenecks, and improvement of hospital workforce management. The dataset is ideal for operational analytics, compliance monitoring, and predictive scheduling in healthcare environments.
| provider_name | conflict_type | location_name |
|---|
| Nurse Amanda Liu | none | St. Mary Medical Center |
| Dr. Victor Romano | insufficient-rest | Milano General Hospital |
| Emily Sanchez | none | Berlin Health Center |
schedule_idprovider_idprovider_role+14 more
Healthcare21 cols · 200 rows
This dataset contains synthetic healthcare billing claims with embedded errors and anomalies, including detailed patient, provider, service, and audit information. It is ideal for developing, testing, and benchmarking claims auditing processes and machine learning models for error detection and process automation in healthcare billing.
| claim_status | error_flag | error_type |
|---|
| approved | false | – |
| approved | false | – |
| approved | false | – |
claim_idpatient_idprovider_id+15 more
Finance19 cols · 200 rows
This dataset provides detailed, structured records of bank transactions, each annotated with a synthetic fraud risk score and binary fraud label. It includes transaction, account, merchant, and contextual information, making it ideal for training and evaluating fraud detection and risk assessment models. The dataset supports feature engineering for advanced analytics and machine learning applications in financial security.
| currency | transaction_type | merchant_name |
|---|
| USD | purchase | Best Electronics |
| USD | purchase | Urban Coffee |
| EUR | purchase | Supermarkt Berlin |
transaction_idaccount_idtransaction_datetime+13 more
Energy10 cols · 200 rows
This dataset provides detailed, hourly electricity consumption records for both commercial and residential consumers, enriched with contextual information such as region, temperature, and holiday indicators. It is ideal for utility companies and researchers seeking to perform load forecasting, demand analysis, and anomaly detection at a granular level.
| consumer_type | is_holiday | anomaly_flag |
|---|
| residential | false | false |
| residential | false | false |
| commercial | true | false |
record_idconsumer_idregion+4 more
Healthcare22 cols · 200 rows
This dataset provides detailed records of patient hospital episodes, including demographics, clinical diagnoses, procedures, risk factors, and readmission outcomes. Designed to support clinical decision support, resource allocation, and value-based care analytics, it enables robust analysis of factors influencing hospital readmissions and patient outcomes.
| readmitted | readmission_type | insurance_type |
|---|
| false | – | medicare |
| false | – | medicaid |
| true | unplanned | medicare |
episode_idpatient_idadmission_date+16 more
Marketing18 cols · 200 rows
This dataset provides granular sales transaction records enriched with detailed promotion and campaign information, enabling precise uplift analysis for retail marketing teams. It supports measurement of promotional effectiveness across products, stores, channels, and customer segments, making it ideal for optimizing campaign strategies and maximizing ROI.
| store_region | product_category | promotion_type |
|---|
| Pacific | Electronics | – |
| South | Groceries | discount |
| Central | Clothing | – |
transaction_idtransaction_datestore_id+12 more
Finance30 cols · 200 rows
This dataset provides detailed, synthetic records of small business and personal microloans, including origination, borrower demographics, repayment schedules, delinquency events, and recovery outcomes. It is ideal for developing and benchmarking credit risk models, analyzing financial inclusion, and studying loan performance patterns across diverse borrower segments.
| loan_type | borrower_employment_status | delinquency_status |
|---|
| personal | student | delinquent |
| small_business | self_employed | current |
| personal | unemployed | defaulted |
loan_idborrower_idloan_amount+24 more
Finance29 cols · 200 rows
This dataset provides detailed, standardized records of corporate ESG (Environmental, Social, and Governance) compliance disclosures, including company identifiers, reporting periods, ESG scores, emissions, diversity metrics, and policy indicators. It enables robust benchmarking, analytics, and transparency for investors, regulators, and sustainability analysts seeking to evaluate enterprise ESG performance and compliance trends.
| company_name | esg_framework | anti_corruption_policy |
|---|
| BlueWave Shipping PLC | GRI | true |
| OptiPharm AG | SASB | true |
| Unity Telecom Ltd. | TCFD | false |
disclosure_idcompany_idindustry_sector+23 more
Healthcare18 cols · 200 rows
This dataset provides a unified, event-level view of patient health by integrating device telemetry, vital sign measurements, and laboratory results. Each record is timestamped and linked to both patient and device, enabling advanced multimodal AI research, cross-sensor data fusion, and holistic patient state modeling for healthcare analytics and clinical studies.
| device_type | sensor_type | lab_test_name |
|---|
| ECG | heart_rate | – |
| wearable | glucose | – |
| blood_pressure_monitor | – | – |
patient_idreading_idtimestamp+12 more
Healthcare10 cols · 202 rows
This dataset contains high-frequency, time-stamped health metrics collected from wearable devices, including heart rate, step counts, sleep stages, activity types, and calories burned. It supports multi-user, multi-device scenarios and is ideal for developing personalized wellness algorithms, sleep analysis, and preventative health models. The structure enables granular time-series analytics and integration with broader health informatics systems.
| sleep_stage | activity_type | data_source |
|---|
| deep | sleeping | SleepDoc |
| rem | sleeping | FitBand Pro |
| light | sleeping | NightMon |
user_iddevice_idtimestamp+4 more
Finance22 cols · 200 rows
This dataset provides detailed results of simulated financial portfolio stress tests, including asset-level and portfolio-level impacts under various macroeconomic and market shock scenarios. It supports regulatory compliance, risk analytics, and scenario-based portfolio management, making it ideal for financial institutions and risk professionals seeking robust stress testing automation.
| portfolio_name | scenario_name | asset_name |
|---|
| US Large Cap Equity Growth | 2008 Financial Crisis Replay | Apple Inc. Equity |
| Emerging Markets Blend | Political Upheaval - LatAm | Vale S.A. ADR |
| Long Duration US Treasuries | Interest Rate Shock | US Treasury Bond 30Y |
portfolio_idportfolio_owneras_of_date+16 more
Technology16 cols · 200 rows
This dataset aggregates real-time event streams from diverse IoT sensors deployed across urban environments, capturing air quality, noise, light, and pedestrian flow metrics with precise geolocation and timestamping. It enables advanced urban monitoring, anomaly detection, and data-driven resource allocation for smart city initiatives. The dataset's granular, multi-modal structure supports both operational dashboards and in-depth analytics for city planners and researchers.
| sensor_type | air_quality_pm25 | status |
|---|
| air_quality | 18.6 | normal |
| noise | – | anomaly |
| light | – | normal |
event_idsensor_idevent_timestamp+10 more
Healthcare27 cols · 200 rows
This dataset provides comprehensive, anonymized records of pharmacy prescription orders and medication fulfillment events, including patient, prescriber, medication, and pharmacy details. It enables robust analysis of medication adherence patterns and pharmacy workflow efficiency, supporting research, quality improvement, and operational analytics in healthcare settings.
| medication_name | medication_form | insurance_type |
|---|
| Atorvastatin | tablet | private |
| Lisinopril | tablet | private |
| Metformin | tablet | government |
prescription_idpatient_idprescriber_id+21 more
Finance16 cols · 200 rows
This dataset provides detailed, interconnected banking transaction records, capturing sender and receiver relationships, transaction metadata, and anomaly flags. Designed for network analytics, it enables advanced anti-money laundering (AML) detection, fraud analysis, and financial behavior modeling by representing transactions as a directed graph. The flat structure ensures easy integration with machine learning and graph analytics tools.
| currency | transaction_type | transaction_status |
|---|
| USD | payment | completed |
| EUR | transfer | pending |
| USD | payment | completed |
transaction_idtimestampamount+10 more
Finance30 cols · 200 rows
This dataset contains detailed synthetic records of loan applications, including applicant demographics, financial profiles, loan details, automated risk assessments, and approval or denial outcomes. It is ideal for developing and evaluating AI models for credit decisioning, risk analysis, and fair lending compliance, with fields supporting bias detection and explainability. The data structure enables robust analytics for both operational and regulatory use cases.
| applicant_first_name | applicant_last_name | applicant_marital_status |
|---|
| Olivia | Martinez | married |
| Lucas | Berg | single |
| Mia | Fischer | single |
application_idapplication_dateapplicant_id+24 more
Other15 cols · 200 rows
This dataset provides anonymized, daily foot traffic counts for physical retail locations, enriched with store details, holiday indicators, weather conditions, and special event annotations. It enables robust sales forecasting, staffing optimization, and marketing campaign impact analysis by correlating footfall with external factors and store attributes.
| store_name | day_of_week | is_holiday |
|---|
| FreshMart Downtown | Friday | false |
| MegaMart Uptown | Saturday | false |
| Boutique Parisienne | Friday | true |
foot_traffic_idstore_idstore_street_address+9 more
Healthcare25 cols · 200 rows
This dataset provides a comprehensive, flat-structured view of healthcare insurance claims, tracking each claim's journey from clinical service through submission, adjudication, and payment. It includes detailed fields for patient, provider, payer, financials, service location, and claim status, making it ideal for process mining, compliance auditing, and cross-domain healthcare analytics.
| claim_status | denial_reason | submission_method |
|---|
| paid | – | electronic |
| approved | – | paper |
| denied | Coverage lapsed | portal |
claim_idpatient_idprovider_id+19 more
Logistics26 cols · 200 rows
This dataset provides detailed, event-level tracking of global supply chain shipments, including timestamps, locations, carrier information, transport modes, and delay causes. It enables comprehensive logistics analysis, predictive ETD/ETA modeling, and root-cause identification for shipment delays, supporting supply chain optimization and transparency.
| event_type | location_name | carrier_name |
|---|
| pickup | Shanghai Warehouse | COSCO Shipping |
| departure | Rotterdam Port | Maersk Line |
| pickup | Hamburg Warehouse | DB Schenker |
shipment_idevent_idevent_timestamp+20 more
Healthcare24 cols · 201 rows
This dataset provides comprehensive, structured metadata for simulated diagnostic medical images, including technical, clinical, and workflow attributes. It supports machine learning model development for image processing, anomaly detection, and workflow automation, with detailed fields for modality, patient, study, annotation, and device information. The dataset is ideal for benchmarking, model training, and workflow optimization in medical imaging.
| institution_name | anomaly_type | annotation_status |
|---|
| Metro General Hospital | Tumor | Annotated |
| Metro General Hospital | – | Unreviewed |
| Metro General Hospital | – | Unreviewed |
image_idstudy_idpatient_id+18 more
Real Estate28 cols · 200 rows
This dataset provides comprehensive, transaction-level real estate data, including property attributes, sale prices, geolocation, and transaction details. It is ideal for training automated valuation models (AVMs), optimizing appraisals, and conducting in-depth investment and market analytics. The dataset's granularity and breadth make it valuable for both industry professionals and data scientists.
| property_type | transaction_type | financing_type |
|---|
| single-family | sale | conventional |
| multi-family | sale | conventional |
| condo | sale | FHA |
transaction_idproperty_idtransaction_date+22 more
Healthcare18 cols · 200 rows
This dataset provides granular, time-stamped records of hospital resource utilization, including beds, staff, and equipment across departments and shifts. It enables detailed analysis and forecasting for operational planning, surge management, and cost optimization, making it ideal for AI-driven resource allocation and healthcare analytics. The dataset supports both real-time monitoring and historical trend analysis for improved hospital efficiency.
| hospital_name | resource_type | resource_subtype |
|---|
| Green Valley Medical Center | bed | ICU Bed |
| Riverside General Hospital | nurse | ER Nurse |
| Northside Regional Health | doctor | Surgeon |
record_idhospital_iddepartment+12 more
Healthcare11 cols · 200 rows
This dataset contains detailed, turn-by-turn logs of synthetic conversations between patients and virtual healthcare assistants, annotated with intent and dialog act labels for each message. It enables benchmarking and development of conversational AI models for healthcare, supporting tasks such as intent classification, dialog management, and entity extraction. The dataset is ideal for researchers and practitioners building or evaluating medical chatbots and virtual health assistants.
| sender_type | intent_label | dialog_act |
|---|
| patient | symptom_report | statement |
| assistant | symptom_request | question |
| patient | symptom_report | answer |
conversation_idturn_idtimestamp+5 more
Healthcare17 cols · 200 rows
This dataset provides detailed records of alerts generated by remote health monitoring devices, including alert types, severity, escalation actions, and resolution steps. It enables comprehensive tracking of patient safety events, device performance, and care team responses, supporting clinical workflows and quality improvement initiatives. The dataset is ideal for real-time monitoring, compliance auditing, and predictive analytics in healthcare environments.
| alert_type | alert_level | resolution_status |
|---|
| heart_rate | warning | pending |
| blood_pressure | critical | resolved |
| temperature | info | pending |
alert_iddevice_idpatient_id+11 more
Finance25 cols · 200 rows
This dataset provides a comprehensive log of ATM usage and failure events, including detailed transaction records, failure diagnostics, and maintenance actions. It enables financial institutions to analyze ATM performance, optimize service schedules, and implement predictive maintenance strategies for improved uptime and customer satisfaction.
| atm_location_name | event_type | transaction_type |
|---|
| Downtown Branch | transaction | withdrawal |
| Westside Mall | transaction | deposit |
| Riverfront Plaza | failure | – |
atm_idatm_street_addressatm_city+19 more
Finance21 cols · 201 rows
This dataset provides merchant-level fraud signals and outcomes, including transaction volumes, chargeback rates, fraud losses, and calculated risk scores. Designed for supervised learning and analytics, it enables robust fraud detection, risk profiling, and compliance monitoring for online payment platforms. The comprehensive structure supports both operational and predictive use cases in fraud prevention.
| merchant_name | merchant_category | account_status |
|---|
| Vivid Electronics Ltd | electronics | active |
| The Artisans Studio | arts_and_crafts | active |
| Zippy Food Delivery | food_delivery | active |
merchant_idmerchant_emailmerchant_phone+15 more
Finance20 cols · 200 rows
This dataset provides a comprehensive, labeled collection of real-world bank transactions, including raw descriptions, merchant information, categorized labels, and enrichment fields for AI training. It enables robust development of transaction categorization, statement enrichment, and personal finance analytics models, supporting both supervised and semi-supervised learning scenarios.
| merchant_name | category | subcategory |
|---|
| Amazon | Shopping | Online Retail |
| Acme Corp | Income | Salary |
| Spotify | Entertainment | Music Streaming |
transaction_idaccount_idtransaction_date+14 more
Healthcare21 cols · 200 rows
This dataset provides detailed, de-identified records of emergency department visits, including patient demographics, triage assessments, vital signs, diagnoses, procedures, and outcomes. It enables robust analysis of triage algorithms, patient flow, and clinical outcomes, supporting research and quality improvement in emergency medicine.
| sex | triage_level | vital_signs_recorded |
|---|
| female | 3 | true |
| male | 2 | true |
| other | 4 | true |
visit_idpatient_idvisit_datetime+15 more
Healthcare25 cols · 200 rows
This dataset provides detailed, line-level records of pharmacy retail purchase events, including both over-the-counter and prescription medications. Each record captures transaction details, customer demographics (where available), product specifics, payment method, and prescription information, enabling comprehensive analysis of purchasing patterns, health trends, and market basket behaviors.
| store_name | product_name | product_category |
|---|
| RxMart Downtown | Vitamin D3 Gummies | supplement |
| CareFirst Pharmacy | Ibuprofen Tablets | analgesic |
| MediQuick Central | Metformin HCl | antidiabetic |
transaction_idtransaction_datetimestore_id+19 more
Finance20 cols · 200 rows
This dataset provides granular, event-level records of customer loan repayments, including payment amounts, statuses, timing, and outstanding balances. It enables robust risk modeling, customer segmentation, and repayment behavior analysis for lenders and financial institutions. The inclusion of customer and loan attributes supports advanced analytics and credit scoring applications.
| payment_status | payment_method | customer_gender |
|---|
| paid | auto_debit | female |
| late | bank_transfer | male |
| missed | cash | other |
customer_idloan_idpayment_event_id+14 more
Insurance19 cols · 200 rows
This dataset provides a comprehensive record of insurance policy claims, tracking each claim's submission, validation workflow, payout details, and associated customer and policy information. It enables in-depth analysis of claim cycles, loss ratios, and operational efficiency, supporting both risk modeling and process optimization for insurers.
| claim_status | validation_stage | claim_type |
|---|
| submitted | initial_review | auto |
| under_review | fraud_check | auto |
| paid | completed | property |
claim_idpolicy_idcustomer_id+13 more
Healthcare22 cols · 200 rows
This dataset provides a comprehensive view of healthcare patient referral flows, capturing detailed information on cross-provider referral patterns, delays, outcomes, and leakage events. It enables healthcare organizations to analyze care coordination, identify bottlenecks, and optimize referral processes to improve patient outcomes and reduce network leakage.
| referring_provider_name | referring_provider_type | referred_provider_name |
|---|
| Dr. Amy Rogers | PCP | Dr. Brian Chen |
| Dr. Susan Patel | Pediatrician | Dr. Lena Fox |
| Dr. Michael Smith | PCP | Dr. Priya Nanda |
referral_idpatient_idreferral_date+16 more
Healthcare17 cols · 200 rows
This dataset provides a comprehensive, structured record of adverse events reported by participants in clinical trials, including detailed event descriptions, severity, outcomes, and relationships to study drugs. It enables robust safety monitoring, regulatory compliance, and in-depth analysis of clinical trial safety data across multiple sites and studies.
| event_severity | serious_event | event_outcome |
|---|
| Mild | false | Recovered |
| Mild | false | Recovered |
| Mild | false | Recovered |
adverse_event_idpatient_idtrial_id+11 more
Finance18 cols · 200 rows
This dataset provides granular logs of bank call center interactions, capturing detailed information about each customer-agent conversation, including timing, outcomes, speech analytics, sentiment, and satisfaction scores. It enables comprehensive analysis of customer experience, agent performance, and operational trends, supporting both quality assurance and advanced speech analytics use cases.
| call_direction | call_channel | call_status |
|---|
| inbound | phone | completed |
| outbound | phone | dropped |
| inbound | chat | completed |
interaction_idcustomer_idagent_id+12 more
Healthcare15 cols · 200 rows
This dataset provides detailed, anonymized metrics from virtual healthcare sessions, including session timing, wait times, patient engagement actions, device usage, connection quality, and post-session feedback. It enables robust analysis of telehealth utilization, patient experience, and operational efficiency, supporting quality improvement and research in digital health delivery.
| patient_actions_types | device_type | session_completed |
|---|
| chat,message_upload,screen_share,file_download | desktop | true |
| chat,message_upload | tablet | true |
| chat | mobile | true |
session_idpatient_idprovider_id+9 more
Finance27 cols · 200 rows
This dataset provides a comprehensive view of enterprise procurement transactions, including detailed records of requests, approvals, and payments. It enables in-depth spend analytics, process mining, compliance monitoring, and vendor management, supporting organizations in optimizing procurement workflows and controlling costs.
| item_category | approval_status | payment_status |
|---|
| IT Equipment | Approved | Completed |
| Software | Approved | Completed |
| Services | Pending | – |
procurement_request_idrequest_daterequester_id+21 more
Healthcare22 cols · 200 rows
This dataset aggregates detailed, standardized patient satisfaction and outcome survey responses from hospitals and healthcare facilities, including ratings on staff, communication, cleanliness, and outcomes, along with patient demographics and visit details. It enables robust benchmarking, quality improvement, and predictive analytics for healthcare providers and researchers.
| survey_type | patient_gender | admission_type |
|---|
| HCAHPS | male | inpatient |
| Press Ganey | female | emergency |
| Patient Voice | other | inpatient |
response_idpatient_idhospital_id+16 more
Healthcare32 cols · 200 rows
This dataset provides a comprehensive registry of chronic disease patients, including demographics, diagnoses, clinical parameters, medications, and risk stratification metrics. It is designed to support advanced analytics, care management workflows, and risk prediction models for population health management and clinical decision support.
| first_name | last_name | smoker_status |
|---|
| Isabella | Reed | never |
| Samuel | Kang | former |
| Ayaan | Patel | never |
patient_iddate_of_birthgender+26 more
Finance13 cols · 200 rows
This dataset provides a granular, timestamped record of order book events—including order placements, modifications, cancellations, and trades—across multiple equity markets and exchanges. With microsecond-level precision and comprehensive event attributes, it is ideal for quantitative research, backtesting high-frequency trading strategies, and analyzing market microstructure dynamics.
| symbol | event_type | side |
|---|
| AAPL | new_order | buy |
| AAPL | modify_order | buy |
| AAPL | cancel_order | buy |
event_idtimestamporder_id+7 more
Healthcare24 cols · 200 rows
This dataset provides daily, hospital-level forecasts of resource utilization, including beds, staff, ventilators, and PPE, to support capacity planning and emergency response. Each record details projected needs and availability for specific resource types, along with confidence intervals and model metadata, enabling healthcare administrators and policymakers to anticipate surges and allocate resources efficiently.
| hospital_name | hospital_type | bed_type |
|---|
| Starlake General Hospital | general | general |
| Northside Regional Clinic | other | other |
| Central City Specialty Center | specialty | ICU |
forecast_idhospital_idaddress_street+18 more
Finance22 cols · 200 rows
This dataset provides a detailed, structured log of corporate expense reimbursement requests, including employee and approver details, expense categorization, payment methods, and audit flags. Designed for audit automation and fraud detection, it enables granular analysis of spending patterns, policy compliance, and exception handling across departments and projects.
| employee_name | expense_category | vendor_name |
|---|
| Samuel L. Miller | Travel | Delta Airlines |
| Linda Zhang | Office Supplies | Best Buy |
| Jean-Luc Moreau | Entertainment | Le Gourmet |
reimbursement_idemployee_iddepartment+16 more
Healthcare17 cols · 200 rows
This dataset provides detailed, time-stamped records of patient-reported symptoms, including severity, duration, medication usage, and demographic information. It enables comprehensive tracking of disease progression and supports advanced analytics and AI-based diagnostic research in healthcare. The structure is optimized for longitudinal studies and integration with clinical systems.
| symptom_name | medication_taken | medication_name |
|---|
| headache | true | acetaminophen |
| fatigue | true | vitamin B12 supplement |
| joint pain | true | ibuprofen |
record_idpatient_idreport_date+11 more
Finance18 cols · 200 rows
This dataset provides granular, real-time snapshots of financial instrument prices, volumes, and bid/ask spreads across global markets. Each record includes detailed pricing, volume, and market context, making it ideal for quantitative trading strategies, AI-driven forecasting, and market microstructure analysis. The data is structured for high-frequency, low-latency applications and supports robust financial analytics.
| instrument_name | currency | last_price |
|---|
| Apple Inc. | USD | 186.12 |
| Microsoft Corporation | USD | 407.2 |
| Alphabet Inc. | USD | 153.9 |
feed_idinstrument_idmarket+12 more
Transportation19 cols · 200 rows
This dataset provides granular, time-stamped telematics sensor data from vehicles in a fleet, including location, speed, engine parameters, and diagnostic codes. It enables advanced fleet optimization, real-time monitoring, and predictive maintenance modeling, supporting data-driven decisions for operational efficiency and safety.
| brake_status | gear_position | dtc_code |
|---|
| false | D | – |
| true | P | – |
| false | D | – |
record_idvehicle_idfleet_id+13 more
Finance18 cols · 200 rows
This dataset provides detailed, simulated and real portfolio-level risk metrics, including volatility, risk scores, drawdowns, and asset class allocations for asset managers and fintech teams. It supports robust risk analysis, performance benchmarking, and scenario modeling, making it ideal for financial analytics, compliance reporting, and investment strategy development.
| portfolio_name | currency | is_simulated |
|---|
| US Conservative Bond Income | USD | false |
| Global Growth Equity Fund | USD | false |
| Eurozone ESG Balanced | EUR | false |
portfolio_idmanager_idas_of_date+12 more
Healthcare21 cols · 200 rows
This dataset provides detailed, timestamped logs of patient adherence to prescribed medication regimens, capturing scheduled and actual intake times, adherence status, and reasons for nonadherence. It enables healthcare providers to monitor compliance, identify patterns of missed doses, and design targeted interventions to improve patient outcomes and reduce hospital readmissions.
| patient_first_name | patient_last_name | medication_name |
|---|
| Maria | Lopez | Lisinopril |
| John | Smith | Amlodipine |
| – | – | Insulin Glargine |
adherence_log_idpatient_iddate_of_birth+15 more
Finance30 cols · 200 rows
This dataset provides detailed, anonymized records of bank loan origination, repayment, default, and prepayment patterns, enriched with borrower demographic and employment information. It is ideal for developing and validating credit scoring models, analyzing risk factors, and exploring repayment behaviors across diverse borrower segments. The data structure supports advanced analytics and machine learning applications in financial risk management.
| repayment_status | borrower_marital_status | borrower_employment_status |
|---|
| current | single | employed_full_time |
| paid_off | single | employed_part_time |
| current | married | employed_full_time |
loan_idborrower_idorigination_date+24 more
E-commerce24 cols · 200 rows
This dataset provides detailed, timestamped records of e-commerce user sessions, capturing every step of the shopper journey from browsing and searching to cart actions and purchases. Each event is linked to session, user, and product information, enabling comprehensive analysis for personalization, recommendation systems, and user behavior modeling. The dataset is ideal for developing and benchmarking algorithms that require sequential purchase and interaction data.
| device_type | event_type | product_category |
|---|
| desktop | login | – |
| desktop | search | – |
| desktop | add_to_cart | Electronics |
session_iduser_idsession_start_time+18 more