--- annotations_creators: - no-annotation language_creators: - found language: - en license: cc-by-4.0 multilinguality: - monolingual size_categories: - n<1K source_datasets: - original task_categories: - tabular-regression task_ids: [] tags: - africa - humanitarian - hdx - electric-sheep-africa - rule-of-law - separation-of-powers - benin - botswana - cape-verde - ethiopia - kenya pretty_name: "Rule of Law, 2021" dataset_info: splits: - name: train num_examples: 74 - name: test num_examples: 18 --- # Rule of Law, 2021 **Publisher:** Bertelsmann Stiftung · **Source:** [OpenAfrica](https://open.africa/dataset/rule-of-law-2021) · **License:** `cc-by` · **Updated:** 2023-01-23 --- ## Abstract Expert assessments and index. It combines information on the extent to which political power is separated, the judiciary is independent, office abuse is prosecuted, and civil rights are enforced. It ranges from 1 to 10 (most rule-based). Score Rule of Law 1 - 2.49 Poor 2.5 - 4.49 Overflawed 4.5 - 6.49 Fair 6.5 - 8.49 Sound 8.5 - 10 Excellent Each row in this dataset represents tabular records. Data was last updated on OpenAfrica on 2023-01-23. Geographic scope: **BENIN, BOTSWANA, CAPE-VERDE, ETHIOPIA, KENYA, NIGERIA, SENEGAL, SOUTH-AFRICA, and 4 others**. *Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).* --- ## Dataset Characteristics | | | |---|---| | **Domain** | Humanitarian and development data | | **Unit of observation** | Tabular records | | **Rows (total)** | 93 | | **Columns** | 5 (2 numeric, 3 categorical, 0 datetime) | | **Train split** | 74 rows | | **Test split** | 18 rows | | **Geographic scope** | BENIN, BOTSWANA, CAPE-VERDE, ETHIOPIA, KENYA, NIGERIA, SENEGAL, SOUTH-AFRICA, and 4 others | | **Publisher** | Bertelsmann Stiftung | | **OpenAfrica last updated** | 2023-01-23 | --- ## Variables **Geographic** — `rule_of_law_index_2005_2021` (Benin, Botswana, Ethiopia). **Identifier / Metadata** — `unnamed_1` (range 2005.0–2021.0), `unnamed_2` (range 1.0–8.25), `esa_source` (HDX), `esa_processed` (2026-04-28). --- ## Quick Start ```python from datasets import load_dataset ds = load_dataset("electricsheepafrica/africa-rule-of-law-2021") train = ds["train"].to_pandas() test = ds["test"].to_pandas() print(train.shape) train.head() ``` --- ## Schema | Column | Type | Null % | Range / Sample Values | |---|---|---|---| | `rule_of_law_index_2005_2021` | object | 1.1% | Benin, Botswana, Ethiopia | | `unnamed_1` | float64 | 3.2% | 2005.0 – 2021.0 (mean 2013.0) | | `unnamed_2` | float64 | 3.2% | 1.0 – 8.25 (mean 5.4722) | | `esa_source` | object | 0.0% | HDX | | `esa_processed` | object | 0.0% | 2026-04-28 | --- ## Numeric Summary | Column | Min | Max | Mean | Median | |---|---|---|---|---| | `unnamed_1` | 2005.0 | 2021.0 | 2013.0 | 2013.0 | | `unnamed_2` | 1.0 | 8.25 | 5.4722 | 5.75 | --- ## Curation Raw data was downloaded from OpenAfrica via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (`N/A`, `null`, `none`, `-`, `unknown`, `no data`, `#N/A`) were unified to `NaN`. 6 column(s) with >80% missing values were removed: `unnamed_3`, `unnamed_4`, `unnamed_5`, `unnamed_6`, `unnamed_7`, `unnamed_8`. 2 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% 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 Bertelsmann Stiftung 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 12 countries; geographic and methodological inconsistencies across national boundaries may affect cross-country comparability. - Refer to the [original HDX dataset page](https://open.africa/dataset/rule-of-law-2021) for the publisher's own methodology notes and caveats. --- ## Citation ```bibtex @dataset{openafrica_africa_rule_of_law_2021, title = {Rule of Law, 2021}, author = {Bertelsmann Stiftung}, year = {2023}, url = {https://open.africa/dataset/rule-of-law-2021}, 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.*