Create README.md

country,year,solar_gwh,wind_gwh,hydro_gwh,geothermal_gwh,total_renewable_percent
USA,2023,120000,150000,250000,18000,22
Germany,2023,90000,130000,20000,5000,46
China,2023,300000,350000,400000,25000,31
India,2023,110000,90000,140000,10000,24
Brazil,2023,50000,60000,420000,8000,49

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