Marketing15 cols · 200 rows
This dataset provides detailed, unified user engagement metrics across multiple digital channels, including social media, web, and mobile platforms. It enables startups and marketers to analyze cross-platform user activity, optimize engagement strategies, and attribute performance to specific campaigns, devices, and content. The rich, flat schema supports advanced analytics, segmentation, and real-time insights for multi-channel optimization.
| platform | activity_type | device_type |
|---|
| facebook | like | mobile |
| twitter | share | desktop |
| instagram | comment | mobile |
engagement_iduser_idactivity_timestamp+9 more
Technology18 cols · 200 rows
This dataset contains detailed logs of public Wi-Fi usage sessions, including session times, device types, data transferred, and user engagement metrics at specific hotspot locations. It enables analysis of usage patterns, repeat visitors, and demographic trends, supporting infrastructure planning, hotspot optimization, and targeted marketing strategies.
| hotspot_location_name | hotspot_address_country | device_type |
|---|
| Central Park Entrance | USA | smartphone |
| Union Square Plaza | USA | laptop |
| Metropolitan Library Entrance | USA | tablet |
session_idhotspot_idhotspot_address_street+12 more
Telecommunications18 cols · 200 rows
This dataset provides detailed, event-level telecommunications usage records for individual subscribers, including calls, SMS, and data sessions, enriched with device, location, and demographic attributes. It is ideal for customer segmentation, churn prediction, and targeted marketing analytics in the telecom industry.
| event_type | device_type | plan_type |
|---|
| call | smartphone | postpaid |
| sms | feature phone | prepaid |
| data | tablet | postpaid |
subscriber_idevent_idevent_datetime+12 more
Energy13 cols · 200 rows
This dataset provides granular logs of renewable energy production across multiple sites, detailing output by source type, timestamp, and location. It enables sustainability analysis, operational monitoring, and investment performance tracking for energy portfolios. The comprehensive structure supports site-level comparisons, carbon offset calculations, and strategic planning for renewable energy expansion.
| site_name | source_type | operational_status |
|---|
| Desert Solar One | solar | active |
| Desert Solar One | solar | offline |
| Wind Valley Station | wind | active |
log_idsite_idsite_country+7 more
Energy21 cols · 200 rows
This dataset provides granular records of smart grid power outage events, detailing event timing, location, user impact, causes, restoration efforts, and severity. It enables reliability analysis, operational response evaluation, and infrastructure risk assessment for energy providers and researchers. The comprehensive structure supports outage pattern identification, cost estimation, and critical infrastructure protection.
| grid_region_name | cause | restoration_team_name |
|---|
| Midwest North District | weather | Rapid Response Midwest |
| Southeast Coastal Area | equipment failure | – |
| Western Hills Network | maintenance | – |
event_idevent_start_datetimeevent_end_datetime+15 more
Manufacturing18 cols · 200 rows
This dataset provides continuous, timestamped logs of water usage across industrial sites, including flow rates, total consumption, leakage detection, and compliance with regulatory limits. It enables detailed sustainability analysis, operational monitoring, and regulatory reporting for industrial water management. The dataset supports site-level and sensor-level granularity, making it ideal for efficiency optimization and risk mitigation.
| site_name | site_country | sensor_type |
|---|
| Green Valley Refinery | USA | Vortex-Flow |
| Maple Processing Plant | Canada | Ultrasonic-3000 |
| London Fabricators Ltd | UK | Electromagnetic-PRO |
log_idsite_idsite_street_address+12 more
Government13 cols · 200 rows
This dataset provides granular, time-stamped urban noise pollution readings from city-wide sensors, including precise location data and regulatory compliance indicators. It enables analysis of noise trends, identification of hotspots, and supports city planning and public health initiatives by linking measured noise levels to legal thresholds.
| sensor_location_name | noise_type | exceeds_regulatory_limit |
|---|
| Main St & 5th Ave | traffic | true |
| Central Park North Gate | nature | false |
| Downtown Plaza | crowd | true |
sensor_idlatitudelongitude+7 more
Telecommunications15 cols · 200 rows
This dataset provides detailed, structured records of telecommunications network topologies, including nodes (such as routers, switches, and data centers), their locations, and the connections between them with bandwidth capacities and operational statuses. It is ideal for infrastructure planning, network optimization, and reliability analysis in telecom environments.
| node_name | node_type | connection_type |
|---|
| Repeater Adirondack East | repeater | microwave |
| Hub Albany North | hub | fiber |
| Gateway Lake Ontario | gateway | satellite |
node_idnode_location_latitudenode_location_longitude+9 more
Energy13 cols · 200 rows
This dataset provides granular, real-time environmental sensor readings—including temperature, humidity, and particulate matter—across diverse geographic locations. It enables environmental monitoring, anomaly detection, and supports advanced analytics for air quality assessment and public health research.
| location_name | anomaly_detected | sensor_status |
|---|
| East Office Level 2 | false | active |
| East Office Level 2 | false | active |
| Main Lab South Wing | false | active |
reading_idsensor_idlocation_id+7 more
Energy20 cols · 200 rows
This dataset provides granular logs of electric vehicle charging sessions across urban stations, including session timing, energy delivered, user types, and payment details. It enables analysis of charging patterns, infrastructure utilization, and user segmentation for effective urban mobility planning and energy management.
| station_name | connector_type | user_type |
|---|
| GreenLeaf Charging Plaza | CCS | resident |
| Bayview Charge Center | Type2 | visitor |
| Mission EV Hub | CHAdeMO | visitor |
session_idstation_idstation_street_address+14 more
Telecommunications19 cols · 200 rows
This dataset provides detailed, spatially-tagged logs of telecommunications network outages, restoration actions, and impact zones, enabling advanced analytics for resilience, service restoration, and risk assessment. It includes precise geolocation, event timing, affected customers, and severity, making it invaluable for operational monitoring and strategic planning.
| restoration_method | impact_zone_name | service_type |
|---|
| manual repair | Downtown | broadband |
| automated reroute | Plaza | mobile |
| remote reset | Estate | voice |
outage_idnetwork_segment_idoutage_start_datetime+13 more
Telecommunications16 cols · 200 rows
This dataset provides detailed VoIP call quality statistics, capturing technical metrics such as latency, jitter, packet loss, and MOS scores for each call session. It enables comprehensive analysis of dropped calls, SLA compliance, and service provider performance across regions and codecs, making it invaluable for network optimization and customer experience improvement.
| dropped_call | call_type | codec_used |
|---|
| false | voice | G.711 |
| false | conference | Opus |
| false | voice | G.729 |
call_idcaller_idcallee_id+10 more
Telecommunications16 cols · 201 rows
This dataset provides granular geospatial records of 5G signal strength measurements across urban and rural regions, including location coordinates, network operator, frequency band, and coverage quality. It is ideal for telecom network planning, optimization, and competitive benchmarking, enabling detailed analysis of coverage gaps and performance trends.
| region_type | coverage_quality | indoor |
|---|
| urban | good | false |
| urban | excellent | false |
| urban | fair | true |
measurement_idtimestamplatitude+10 more
Energy16 cols · 200 rows
This dataset provides synthetic, household-level smart grid energy consumption records with detailed temporal, environmental, and demographic attributes. It is ideal for testing and benchmarking demand response algorithms, energy-saving models, and utility sector analytics, offering rich context for both time-series and cross-sectional analysis.
| peak_usage | household_type | address_country |
|---|
| true | apartment | USA |
| true | detached_house | USA |
| false | apartment | UK |
record_idhousehold_idtimestamp+10 more
Agriculture16 cols · 200 rows
This dataset provides granular, time-stamped IoT sensor readings from precision agriculture systems, including soil moisture, crop health indices, equipment status, and environmental conditions. It enables spatial and temporal analysis for AgriTech tool development, machine learning for yield optimization, and operational monitoring across farms and fields. The comprehensive structure supports research, analytics, and real-world deployment scenarios in smart farming.
| sensor_type | soil_moisture_pct | equipment_status |
|---|
| soil_moisture | 88.2 | – |
| soil_moisture | 9.7 | – |
| soil_moisture | 65.8 | – |
reading_idsensor_idfarm_id+10 more
Technology17 cols · 200 rows
This dataset provides comprehensive logs of customer support tickets, including detailed issue descriptions, resolution times, outcomes, agent involvement, and customer satisfaction ratings. It enables analysis of support process efficiency, identification of bottlenecks, and development of NLP models for automated ticket classification and resolution prediction.
| customer_name | ticket_status | issue_category |
|---|
| Javier Martinez | open | billing |
| Samantha Lee | resolved | account |
| Ahmed Al-Sayed | pending | billing |
ticket_idcustomer_idcustomer_email+11 more
Human Resources15 cols · 200 rows
This dataset provides a comprehensive view of collaboration effectiveness among distributed teams, including detailed scores for communication, coordination, and trust, as well as contextual data such as team size, remote work percentage, and manager information. It is ideal for HR professionals and managers seeking to optimize remote work policies, enhance team performance, and benchmark collaboration across regions and tools.
| team_name | collaboration_score | manager_name |
|---|
| Agile Innovators | 96.5 | Jessica Porter |
| Data Wizards | 99.1 | Erik Johnson |
| Phoenix Devs | 92.7 | Anna Becker |
collaboration_score_idteam_idevaluation_date+9 more
Human Resources19 cols · 200 rows
This dataset provides detailed remote work productivity and engagement metrics for employees, including output, hours worked, and engagement scores across reporting periods. It enables HR teams to benchmark distributed workforce performance, analyze productivity trends, and optimize remote work strategies. The dataset supports granular analysis by department, role, and location.
| employee_name | role_title | remote_status |
|---|
| Olivia Bennett | Lead Software Engineer | hybrid |
| Samuel Park | Content Strategist | remote |
| Priya Singh | Support Team Lead | remote |
employee_idemaildepartment+13 more
Government23 cols · 200 rows
This dataset provides a detailed breakdown of budget allocations for small municipalities, including category, subcategory, financial amounts, approval status, responsible departments, and contact details. It is designed to support civic technology, fiscal transparency, and public accountability initiatives, enabling analysis of spending patterns and project implementation across local governments.
| municipality_name | budget_category | budget_subcategory |
|---|
| Lakeview | Infrastructure | Roads |
| Lakeview | Health | Clinic Upgrades |
| Riverside | Education | School Supplies |
budget_item_idmunicipality_idfiscal_year+17 more
Education14 cols · 200 rows
This dataset provides detailed, time-stamped records of user engagement events on a peer learning platform, including interactions with courses, resources, and peers. It supports robust modeling of edtech engagement, user behavior analysis, and product optimization by capturing event types, durations, device usage, and success metrics. Ideal for educational data mining, retention analysis, and personalized learning research.
| event_type | device_type | success |
|---|
| login | desktop | – |
| resource_view | mobile | – |
| quiz_attempt | tablet | true |
event_iduser_idtimestamp+8 more
Transportation10 cols · 200 rows
This dataset provides daily aggregated counts of bus, rail, and bike usage across urban districts and cities, including contextual information such as weekday and holiday status. It is ideal for urban planners, mobility researchers, and policy makers seeking to analyze transport trends, optimize public transit, and drive innovation in urban mobility solutions.
| city | weekday | is_holiday |
|---|
| London | Monday | true |
| New York | Tuesday | true |
| Berlin | Monday | true |
usage_iddatedistrict+4 more
Technology15 cols · 200 rows
This dataset provides a comprehensive benchmark of organizational readiness for AI adoption, combining survey-based scores with digital maturity indicators, leadership support, data quality, and talent availability. It enables organizations, consultants, and researchers to compare AI preparedness across industries, countries, and time, supporting strategic planning and targeted interventions.
| organization_name | digital_maturity_score | ai_strategy_exists |
|---|
| Pacific Quantum Systems | 96.3 | true |
| Blue Ridge Pharmaceuticals | 92.5 | true |
| Global Telecom Holdings | 97.1 | true |
organization_idindustrycountry+9 more
Human Resources18 cols · 200 rows
This dataset provides detailed logs of remote meeting attendance, capturing participant punctuality, duration, and engagement metrics for each session. It enables comprehensive analysis of productivity, team engagement, and meeting effectiveness, supporting HR and management decision-making for distributed teams.
| meeting_title | participant_name | was_late |
|---|
| Quarterly Financial Review | Alice Johnson | false |
| Quarterly Financial Review | Fatima Zahra | true |
| Monthly Product Standup | Li Wei | false |
attendance_idmeeting_idmeeting_datetime+12 more
Technology21 cols · 200 rows
This dataset provides detailed logs of remote collaboration tool usage, capturing user actions across communication and project management platforms. It includes user, team, tool, project, and task identifiers, along with activity types, timestamps, device and location data, and collaboration context. Ideal for analyzing digital work patterns, optimizing remote workflows, and understanding team productivity in distributed environments.
| team_name | tool_name | action_type |
|---|
| Acme Core | Slack | message_sent |
| Bluewave Devs | Trello | task_created |
| GreenCloud | Zoom | meeting_joined |
log_iduser_iduser_email+15 more
Agriculture14 cols · 200 rows
This dataset provides granular, time-stamped sensor readings from precision agriculture deployments, including spatial coordinates, device metadata, and crop context. It enables advanced analytics for crop yield optimization, anomaly detection, and sustainability research, making it highly valuable for agri-tech startups and researchers focused on smart farming solutions.
| sensor_type | crop_type | unit |
|---|
| soil_moisture | wheat | % |
| temperature | rice | °C |
| humidity | corn | % |
sensor_feed_idtimestampsensor_id+8 more
Government19 cols · 200 rows
This dataset offers a detailed breakdown of local government budgets, including allocations and actual expenditures across major categories and subcategories, along with government identifiers, geographic details, and population served. It is ideal for startups, researchers, and policymakers seeking to analyze budget trends, benchmark priorities, and improve transparency and financial planning at the local level.
| government_name | government_type | budget_category |
|---|
| Los Angeles City Government | city | Public Safety |
| New York City Administration | city | Health |
| City of London Borough | borough | Infrastructure |
budget_idgovernment_idfiscal_year+13 more
Telecommunications18 cols · 200 rows
This dataset contains detailed logs of broadband internet speed tests performed across various regions, including connection type, ISP, geolocation, and network performance metrics such as download/upload speed, latency, and packet loss. It is ideal for benchmarking network infrastructure, identifying service gaps, and supporting consumer advocacy and policy planning.
| connection_type | isp_name | device_type |
|---|
| fiber | Verizon Fios | desktop |
| fiber | Orange | laptop |
| cable | Rogers | desktop |
test_idtest_datetimeregion+12 more
Energy16 cols · 200 rows
This dataset contains detailed, time-stamped power consumption logs from IoT-enabled streetlights, including device status, environmental conditions, and precise location data. It enables smart city stakeholders to analyze energy usage, monitor infrastructure health, and optimize sustainability initiatives across urban environments.
| power_consumption_watts | operational_status | is_peak_hour |
|---|
| 145.8 | on | true |
| 0 | off | false |
| 210.4 | on | true |
log_idstreetlight_idtimestamp+10 more
Telecommunications21 cols · 200 rows
This dataset provides detailed logs of telecommunications equipment failure events and recovery actions, including timestamps, equipment and provider identifiers, failure types and severity, and impact metrics. It enables reliability analysis, predictive maintenance, and operational benchmarking for telecom networks, supporting both technical and business decision-making.
| equipment_type | failure_type | failure_severity |
|---|
| router | hardware | critical |
| switch | network | major |
| base_station | environmental | critical |
failure_idprovider_idequipment_id+15 more
Telecommunications22 cols · 200 rows
This dataset provides detailed records of telecom customer support tickets, including issue types, resolution timelines, agent actions, and customer satisfaction ratings. It enables process optimization, root cause analysis, and AI/ML chatbot training by offering granular insights into ticket lifecycles and outcomes.
| customer_name | service_type | issue_category |
|---|
| Emily Anderson | mobile | network |
| Michael Young | broadband | billing |
| Ana Rodriguez | fiber | technical |
ticket_idcustomer_idcustomer_email+16 more
Energy16 cols · 200 rows
This dataset provides detailed, time-stamped energy usage logs from IoT sensors deployed throughout office buildings, capturing electricity consumption, power demand, occupancy, and environmental conditions at a granular level. It enables comprehensive analysis for optimizing energy efficiency, monitoring building performance, and supporting sustainability initiatives in smart office environments.
| sensor_type | zone_name | occupancy_status |
|---|
| electricity | Reception Area | true |
| hvac | Large Meeting Room | false |
| lighting | Exterior Entry | – |
log_idtimestampsensor_id+10 more
Technology20 cols · 200 rows
This dataset provides comprehensive event-level logs from smart IoT appliances, including usage metrics, sensor readings, error codes, and location data. It enables manufacturers and analysts to understand user behavior, optimize product features, and implement predictive maintenance strategies for connected devices.
| appliance_type | event_type | error_code |
|---|
| washing_machine | cycle_start | – |
| oven | power_on | – |
| refrigerator | setting_change | – |
event_idappliance_idmodel_number+14 more
Manufacturing18 cols · 200 rows
This dataset provides detailed logs of sensor faults across an IoT network, including event timing, fault types, severity, sensor/device identification, location, and resolution actions. It enables predictive maintenance, reliability analysis, and operational monitoring for large-scale sensor deployments, supporting research and real-time analytics for improved uptime and efficiency.
| fault_type | fault_severity | sensor_type |
|---|
| signal_loss | critical | temperature |
| hardware_failure | critical | humidity |
| power_failure | critical | pressure |
event_idsensor_iddevice_id+12 more
Telecommunications21 cols · 200 rows
This dataset provides detailed, step-by-step records of telecom customer onboarding processes, including timestamps, agent involvement, service types, and churn risk scores. It enables telecom providers to analyze onboarding efficiency, identify process bottlenecks, and proactively manage churn risks, making it valuable for operational optimization and customer experience improvement.
| customer_name | service_type | onboarding_step_name |
|---|
| Martin Schultz | mobile | KYC |
| Priya Singh | broadband | installation |
| Ravi Patel | iot | activation |
onboarding_step_idcustomer_idcustomer_email+15 more
Technology17 cols · 200 rows
This dataset provides a comprehensive event log from diverse IoT devices deployed in a smart building, including device identifiers, event types, sensor readings, and maintenance indicators. It enables robust anomaly detection, predictive maintenance, and spatial analysis of device health and performance across locations and time. The rich event details support operational monitoring, troubleshooting, and optimization of building systems.
| device_type | event_type | network_status |
|---|
| camera | anomaly | degraded |
| thermostat | reading | online |
| water_leak_sensor | alert | offline |
event_iddevice_iddevice_location_floor+11 more
Telecommunications18 cols · 200 rows
This dataset provides granular, geolocated measurements of 5G signal strength and quality across urban environments, including network operator, cell tower, frequency band, and measurement context. It enables telecom engineers and researchers to analyze coverage gaps, optimize infrastructure, and benchmark network performance for urban planning and product development.
| address_country | coverage_type | measurement_method |
|---|
| United States | street-level | drive-test |
| United States | outdoor | crowdsourced |
| United States | indoor | fixed-sensor |
measurement_idtimestamplatitude+12 more
Education15 cols · 200 rows
This dataset provides detailed records of individual student progress through curricular modules, including completion status, grades, time spent, and feedback. It enables educators and administrators to analyze learning effectiveness, identify areas for improvement, and monitor student engagement across different modules and instructors.
| student_name | module_name | module_category |
|---|
| Olivia Martinez | Introduction to Biology | Science |
| Ethan Chen | World History I | Humanities |
| Charlotte King | Calculus Fundamentals | Mathematics |
student_idstudent_emailmodule_id+9 more
Logistics24 cols · 200 rows
This dataset provides granular delivery route logs for logistics fleets, including vehicle and driver assignments, departure and arrival details, stop counts, delays, fuel usage, and route outcomes. It enables comprehensive route optimization, cost analysis, and operational efficiency improvements for logistics and supply chain management teams.
| origin_country | destination_country | delivery_successful |
|---|
| USA | USA | true |
| CAN | CAN | true |
| CAN | CAN | false |
route_idvehicle_iddriver_id+18 more
E-commerce20 cols · 200 rows
This dataset provides detailed records of e-commerce shopping cart abandonment events, including session identifiers, product details, user context, timing, and recovery outcomes. It enables in-depth analysis of abandonment patterns, user behavior, and the effectiveness of recovery strategies, making it valuable for optimizing conversion rates and customer retention.
| currency | device_type | browser |
|---|
| USD | mobile | Chrome |
| NZD | tablet | Safari |
| USD | desktop | Firefox |
abandonment_idsession_iduser_id+14 more
Manufacturing18 cols · 200 rows
This dataset provides granular, time-stamped logs of machine performance and maintenance events across smart factories, including sensor readings, downtime durations, and detailed maintenance actions. It is ideal for predictive maintenance modeling, failure analysis, and optimizing operational efficiency in industrial environments.
| operating_status | maintenance_event | maintenance_type |
|---|
| running | false | – |
| maintenance | true | preventive |
| error | false | – |
record_idmachine_idfactory_id+12 more
Government21 cols · 200 rows
This dataset provides detailed records of government permit applications, tracking their status changes, processing durations, document submission rates, and applicant information. It enables transparency in government workflows and supports optimization of permit processing by highlighting bottlenecks and compliance issues. The dataset is ideal for process analytics, performance monitoring, and policy evaluation.
| permit_type | applicant_name | applicant_type |
|---|
| business_license | Cedar Valley LLC | company |
| construction_permit | Ryan Turner | individual |
| event_permit | GreenLeaf Nonprofit | non_profit |
application_idapplication_datecurrent_status+15 more
Education15 cols · 200 rows
This dataset provides detailed, time-stamped records of student interactions across various EdTech platforms, including clicks, posts, quizzes, and content engagement. It enables comprehensive analysis of student behavior, engagement levels, and retention patterns in remote learning environments, supporting data-driven improvements in course design and student support.
| signal_type | content_type | device_type |
|---|
| click | forum | desktop |
| quiz_attempt | quiz | mobile |
| video_play | video | tablet |
engagement_idstudent_idplatform_id+9 more
Marketing22 cols · 200 rows
This dataset provides detailed performance metrics for influencer marketing campaigns, including engagement rates, conversions, costs, and calculated ROI. It enables brands and agencies to benchmark influencer strategies, optimize campaign investments, and analyze cross-platform effectiveness for data-driven marketing decisions.
| campaign_name | brand_name | influencer_name |
|---|
| Spring Style Blast | UrbanWear | Sophia Martinez |
| Tech Trends Launch | Techify | Lucas Chen |
| Summer Glow Up | GlowCosmetics | Amelia Green |
campaign_idinfluencer_idinfluencer_handle+16 more
Logistics18 cols · 200 rows
This dataset provides detailed synthetic scenarios of supply chain disruptions, including impacts on logistics network nodes, delivery times, inventory levels, rerouting events, and financial consequences. It enables robust analysis and modeling of supply chain resilience strategies for risk mitigation and operational planning.
| scenario_name | disruption_type | network_node_type |
|---|
| Flooding at Supplier Hub | natural_disaster | supplier |
| Equipment Malfunction Warehouse East | equipment_failure | warehouse |
| Port Labor Strike - Los Angeles | labor_strike | port |
scenario_idscenario_descriptiondisruption_start_date+12 more
Logistics17 cols · 200 rows
This dataset provides granular logs of delivery address entry and validation attempts across e-commerce platforms, including error codes, resolution status, and logistics region mapping. It enables detailed analysis of address quality, user correction behavior, and operational bottlenecks, supporting both logistics optimization and improvements to user experience.
| address_country | validation_status | resolution_status |
|---|
| US | success | not-required |
| US | failed | corrected |
| US | success | not-required |
log_iduser_idplatform_id+11 more
E-commerce18 cols · 200 rows
This dataset records granular, time-stamped logs of price updates, promotion triggers, and inventory changes for online retail products, enabling dynamic pricing analysis and campaign ROI measurement. It is structured for easy integration with analytics platforms and supports detailed tracking of product, promotion, and inventory events across multiple sales channels.
| event_type | promotion_type | currency |
|---|
| price_update | – | USD |
| promotion_trigger | discount | – |
| inventory_correlation | – | – |
event_idevent_timestampproduct_id+12 more
Education15 cols · 200 rows
This dataset provides detailed logs of student participation in online classroom discussion groups, capturing session context, topic engagement, peer ratings, and message-level interactions. It enables in-depth analysis of learning community dynamics, student engagement, and peer feedback patterns, supporting educational research and platform optimization.
| topic_title | engagement_score | is_facilitator |
|---|
| Principles of Online Learning | 0.98 | true |
| Principles of Online Learning | 0.88 | false |
| Principles of Online Learning | 0.92 | false |
log_idsession_idstudent_id+9 more
E-commerce27 cols · 200 rows
This dataset provides detailed event logs from a peer-to-peer digital marketplace, including transaction records, product listings, user profiles, and messaging exchanges. Its comprehensive structure supports e-commerce research, fraud detection, and behavioral analytics by capturing all interactions between buyers, sellers, and listings. The flat schema design ensures ease of integration with analytical tools and machine learning workflows.
| listing_title | listing_category | transaction_status |
|---|
| Apple MacBook Pro 13in 2017 Open Box | electronics | completed |
| Wilson Pro Staff Tennis Racket 2021 | sports | completed |
| Samsung 55in QLED 4K TV 2023 Model | electronics | completed |
transaction_idtransaction_datetimebuyer_id+21 more
Education22 cols · 200 rows
This dataset provides detailed, timestamped logs from IoT sensors installed in school buildings, including occupancy counts, environmental measurements (temperature, humidity, CO2), and safety event signals. It enables facility managers and educators to monitor building usage, optimize environments for learning, and respond to safety incidents in real time. The comprehensive schema supports advanced analytics for energy efficiency, space utilization, and emergency response planning.
| building_name | room_name | sensor_type |
|---|
| North Academic Block | Chemistry Classroom | temperature |
| South Laboratory Wing | Physics Lab | humidity |
| West Gymnasium | Basketball Court | occupancy |
sensor_log_idtimestampbuilding_id+16 more
Logistics19 cols · 200 rows
This dataset provides comprehensive tracking of supply chain process exceptions, detailing their types, root causes, resolution actions, and impact levels. It enables organizations to identify patterns, assign responsibility, and implement preventive measures, supporting logistics risk mitigation and continuous process improvement. The dataset is ideal for operational analytics, root cause analysis, and supply chain optimization.
| exception_type | location_name | root_cause_category |
|---|
| delay | Global Sourcing Hub | external-factor |
| damage | North Distribution Center | carrier |
| misrouting | Cargo Hub West | system |
exception_idprocess_stageexception_description+13 more
Education17 cols · 200 rows
This dataset contains detailed logs of student quiz attempts in online learning environments, including scores, time spent, hint usage, device type, and adaptive assessment levels. It enables comprehensive analysis of student performance, engagement patterns, and the effectiveness of adaptive learning strategies for edtech platforms.
| completed | device_type | location_country |
|---|
| true | desktop | US |
| true | desktop | US |
| true | mobile | UK |
attempt_idstudent_idquiz_id+11 more
Logistics20 cols · 200 rows
This dataset provides detailed, timestamped logs of autonomous robot movements in logistics warehouses, including navigation coordinates, task execution, obstacle encounters, and battery metrics. Designed for robotics and AI research, it enables analysis of workflow automation, path optimization, and operational safety. Rich contextual fields support advanced analytics and machine learning applications.
| task_type | task_status | obstacle_type |
|---|
| navigation | completed | none |
| idle | in_progress | none |
| pickup | completed | human |
log_idrobot_idtimestamp+14 more
Education14 cols · 200 rows
This dataset provides detailed logs of digital education resource recommendations made to students, including their acceptance or rejection, session outcomes, and contextual information about resources and feedback. It is ideal for adaptive learning analytics, enabling educators and researchers to analyze student engagement, resource effectiveness, and personalized learning pathways.
| resource_title | resource_type | resource_subject |
|---|
| Exploring Algebraic Equations - Video | video | mathematics |
| Matter and Its States - Interactive Simulation | simulation | science |
| Physics Principles: Forces Quiz | quiz | physics |
log_idstudent_idsession_id+8 more
Logistics23 cols · 200 rows
This dataset provides detailed, structured logs of warehouse worker safety incidents, including incident types, locations, outcomes, and compliance actions. It enables organizations to monitor workplace safety, identify risk patterns, and support regulatory reporting and risk reduction strategies. The dataset is ideal for safety analytics, compliance audits, and operational improvement initiatives.
| warehouse_name | worker_name | incident_type |
|---|
| Omega Depot | Devin Martinez | slip |
| Sigma Warehouse | Carmen Lee | collision |
| Delta Logistics Center | Sofia Patel | slip |
incident_idincident_dateincident_time+17 more
Logistics18 cols · 200 rows
This dataset provides detailed, event-level logs from IoT sensors and cameras monitoring shelf stock levels, product movements, and replenishment activities in digital retail environments. It enables comprehensive analysis for inventory optimization, loss prevention, and operational efficiency, making it invaluable for smart retail management and real-time analytics.
| product_name | product_category | event_type |
|---|
| Crispy Chips | snacks | stock_level |
| Lemon Soda | beverages | replenishment |
| Protein Bar | health_food | movement |
log_idstore_idshelf_id+12 more
Education16 cols · 200 rows
This dataset provides detailed records of student dropout events from online courses, including coded reasons, timestamps, and anonymized demographic information. It enables comprehensive analysis of dropout patterns, supports targeted retention strategies, and facilitates research into factors affecting digital education completion rates.
| dropout_reason_code | course_title | course_category |
|---|
| academic | Intro to Data Science | Technology |
| technical | Cloud Computing Essentials | Technology |
| personal | Business Communication Skills | Business |
dropout_event_idstudent_idcourse_id+10 more
E-commerce22 cols · 200 rows
This dataset provides detailed, flat records of e-commerce product returns, including transaction details, customer demographics, product information, and reasons for return. It is designed for supply chain optimization, quality improvement, and customer experience analysis, enabling granular insights into return patterns and drivers across products and customer segments.
| product_name | return_reason | refund_amount |
|---|
| UltraHD Smart TV 55in | defective | 449.99 |
| Womens Summer Dress L | size issue | 39.99 |
| Modern Floor Lamp Black | not as described | 125 |
time_to_return_daysreturn_methodcustomer_country+16 more
Logistics19 cols · 200 rows
This dataset provides detailed event logs of warehouse picker movements, including spatial coordinates, speed, route adherence, and environmental factors. It is ideal for developing AI-powered routing models, analyzing operational efficiency, and identifying bottlenecks or deviations in warehouse picking processes.
| route_deviation | deviation_reason | is_pick_event |
|---|
| false | – | false |
| false | – | true |
| false | – | false |
event_idpicker_idtimestamp+13 more
Education14 cols · 200 rows
This dataset logs detailed interactions between students and teachers with digital learning resources, including access times, resource types, user roles, and engagement metrics. It is designed to support adaptive learning research, platform usage analysis, and educational resource optimization across diverse contexts and devices.
| user_role | resource_type | interaction_type |
|---|
| student | video | view |
| teacher | quiz | complete |
| student | document | download |
access_iduser_idresource_id+8 more
E-commerce15 cols · 200 rows
This dataset provides detailed, session-level logs of product recommendations served to e-commerce users, capturing user interactions such as clicks and purchases, along with contextual information like device type, location, and experiment group. It is ideal for analyzing recommendation engine performance, optimizing personalization strategies, and conducting A/B testing to improve conversion rates.
| algorithm_version | product_category | session_device_type |
|---|
| algov1.2 | electronics | desktop |
| algov1.2 | fashion | desktop |
| algov1.3 | books | mobile |
session_iduser_idtimestamp+9 more