--- annotations_creators: - no-annotation language_creators: - found language: - en license: cc-by-4.0 multilinguality: - monolingual size_categories: - 10K85% threshold). The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet. --- ## Limitations - Data originates from The Charter Project and has not been independently validated by ESA. - Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection. - This dataset spans 11 countries; geographic and methodological inconsistencies across national boundaries may affect cross-country comparability. - Refer to the [original HDX dataset page](https://open.africa/dataset/the-global-state-of-democracy-indices-for-select-countries) for the publisher's own methodology notes and caveats. --- ## Citation ```bibtex @dataset{openafrica_africa_the_global_state_of_democracy_indices_for_select_countries, title = {The Global State of Democracy Indices for select countries}, author = {The Charter Project}, year = {2023}, url = {https://open.africa/dataset/the-global-state-of-democracy-indices-for-select-countries}, note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)} } ``` --- *[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — Africa's ML dataset infrastructure. Lagos, Nigeria.*