Create README.md

factory_id,date,product_type,units_produced,defect_rate_percent,downtime_minutes,energy_consumption_kwh
F001,2024-01-01,Automotive,1200,1.2,45,5800
F001,2024-01-02,Automotive,1150,1.5,60,5600
F002,2024-01-01,Electronics,2500,0.8,30,4300
F002,2024-01-02,Electronics,2600,0.9,25,4400
F003,2024-01-01,Packaging,4000,1.1,50,3900

README.md

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+---
+license: mit
+task_categories:
+- tabular-classification
+language:
+- en
+tags:
+- artificial-intelligence
+- data-science
+- machine-learning
+- research
+size_categories:
+- n<1K
+---
+
+# Global AI & Technology Research Dataset Collection
+
+## Description
+This repository contains multiple structured CSV datasets
+covering various domains including artificial intelligence,
+finance, cybersecurity, climate change, renewable energy,
+education, IoT systems, healthcare, blockchain, autonomous vehicles,
+space missions, and global market analytics.
+
+Each dataset is designed for research simulation,
+machine learning experiments, benchmarking analysis,
+and educational data science projects.
+
+All files are provided in structured CSV format
+and are suitable for tabular data processing.
+
+## Available Datasets
+- climate_change_metrics.csv
+- global_finance_indicators.csv
+- cybersecurity_incidents.csv
+- global_health_statistics.csv
+- smart_city_iot_data.csv
+- renewable_energy_production.csv
+- e_commerce_sales_data.csv
+- global_education_metrics.csv
+- autonomous_vehicle_test_data.csv
+- blockchain_transaction_metrics.csv
+- space_mission_statistics.csv
+- ai_hardware_market_data.csv
+
+## Format
+All datasets are provided in CSV format.
+
+## Intended Use
+- Academic research
+- Machine learning training experiments
+- Data visualization practice
+- Benchmarking and analytics projects
+
+## License
+MIT License