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Ethiopian-DS-AI-Community/datasets

Domain:

natural language processingagriculture

Record type:

datasetproject
Creator:
Eth
Host:
# Ethiopian Data Science & AI Community – Open Dataset Repository > **Empowering innovation through open, community-driven data for Ethiopia.** Welcome to the official open dataset repository of the **Ethiopian Data Science & AI Community** — a collaborative space where researchers, students, developers, and changemakers come together to share, analyze, and build impactful data solutions for Ethiopia. Our mission: 🔍 **Collect** Ethiopia-relevant datasets 🧠 **Analyze** real-world challenges 🚀 **Enable** AI and data science innovation across sectors 🌍 **Build** a culture of open, ethical, and inclusive data science --- ## 📁 Repository Structure ``` datasets/ │ ├── README.md ← You are here! ├── data/ ← All datasets organized by domain │ ├── finance/ ← e.g., finanicial datasets, public data │ ├── agriculture/ ← e.g., crop yields, farming practices │ ├── health/ ← e.g., disease prevalence, clinic access │ ├── education/ ← e.g., enrollment, school locations │ ├── climate/ ← e.g., rainfall, temperature │ ├── transportation/ ← e.g., Addis Ababa mobility │ └── language/ ← e.g., Amharic text, speech samples │ ├── templates/ ← Starter project templates │ ├── crop_yield_predictor_starter.ipynb │ ├── amharic_sentiment_analysis_starter.ipynb │ └── addis_mobility_analysis_starter.ipynb ``` --- ## 🌱 Starter Projects (Beginner-Friendly) We’ve created three starter project templates to help you dive in — whether you're new to data science or ready to build advanced models. | Project | Goal | Skills Used | |-------|------|-------------| | Crop Yield Predictor | Predict agricultural output using climate & soil data | Pandas, Visualization, Regression | | Amharic Sentiment Analyzer | Classify sentiment in Amharic text | NLP, BERT, Text Cleaning | | Addis Mobility Analyzer | Analyze urban transport patterns | OSMnx, Geospatial Analysis, Time Series | 👉 **Jump in:** Open any `.ipynb` file in Google Colab or Jupyter to get started! --- ## 📥 How to Contribute Data We invite you …

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