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data_files: meta.parquet
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# OSAA Metrics
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A tidy "One Big Table" of country-year
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Built and maintained by **Mirian Lima** ([github.com/mirianlima/osaa-metrics](https://github.com/mirianlima/osaa-metrics)) for the UN Office of the Special Adviser on Africa (OSAA). The companion `osaa-metrics` Python package consumes this dataset directly via DuckDB's `httpfs` extension and exposes it through an MCP server, a CLI, and a marimo notebook.
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## What's in here
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Two parquet files, both queryable from the dataset Data Studio above (use the **config dropdown** to switch between `master` and `meta`).
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### `master.parquet` — long-format indicator values
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One row per *(indicator × country × year)*. ~9.6 M rows, 6 055 indicators, 215 countries, years 1970–2025.
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data_files: meta.parquet
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# OSAA Metrics
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A tidy "One Big Table" of country-year development indicators from the World Bank and UNESCO, paired with a per-indicator metadata table that includes BGE-M3 semantic embeddings for natural-language indicator search.
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Built and maintained by **Mirian Lima** ([github.com/mirianlima/osaa-metrics](https://github.com/mirianlima/osaa-metrics)) for the UN Office of the Special Adviser on Africa (OSAA). The companion `osaa-metrics` Python package consumes this dataset directly via DuckDB's `httpfs` extension and exposes it through an MCP server, a CLI, and a marimo notebook.
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### `master.parquet` — long-format indicator values
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One row per *(indicator × country × year)*. ~9.6 M rows, 6 055 indicators, 215 countries, years 1970–2025.
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