Add README.md

README.md

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 ---
+annotations_creators:
+- no-annotation
+language_creators:
+- found
+language:
+- en
+license: cc-by-4.0
+multilinguality:
+- monolingual
+size_categories:
+- 1K<n<10K
+source_datasets:
+- original
+task_categories:
+- tabular-regression
+task_ids: []
+tags:
+- africa
+- humanitarian
+- hdx
+- electric-sheep-africa
+- independent-judiciary
+- rule-of-law
+- benin
+- botswana
+- cape-verde
+- ethiopia
+- kenya
+pretty_name: "Judicial Constraints on the Executive, 2021 for select African Countries"
 dataset_info:
-  features:
-  - name: judicial_constraint_1900_2021
-    dtype: string
-  - name: unnamed_1
-    dtype: float64
-  - name: unnamed_2
-    dtype: float64
-  - name: unnamed_3
-    dtype: float64
-  - name: unnamed_4
-    dtype: float64
-  - name: esa_source
-    dtype: string
-  - name: esa_processed
-    dtype: string
   splits:
-  - name: train
-    num_bytes: 76625
-    num_examples: 1180
-  - name: test
-    num_bytes: 19040
-    num_examples: 296
-  download_size: 22448
-  dataset_size: 95665
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
+    - name: train
+      num_examples: 1180
+    - name: test
+      num_examples: 295
 ---
+
+# Judicial Constraints on the Executive, 2021 for select African Countries
+
+**Publisher:** The Charter Project · **Source:** [OpenAfrica](https://open.africa/dataset/judicial-constraints-on-the-executive-2021-for-select-african-countries) · **License:** `cc-by` · **Updated:** 2023-04-11
+
+---
+
+## Abstract
+
+Based on the expert assessments and index, it combines information on the extent to which the executive respects the constitution and complies with the rulings of independent courts. It ranges from 0 to 1 (most constrained).
+
+Each row in this dataset represents tabular records. Data was last updated on OpenAfrica on 2023-04-11. Geographic scope: **BENIN, BOTSWANA, CAPE-VERDE, ETHIOPIA, KENYA, NIGERIA, SENEGAL, SOUTH-AFRICA, and 3 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)** | 1,476 |
+| **Columns** | 7 (4 numeric, 3 categorical, 0 datetime) |
+| **Train split** | 1,180 rows |
+| **Test split** | 295 rows |
+| **Geographic scope** | BENIN, BOTSWANA, CAPE-VERDE, ETHIOPIA, KENYA, NIGERIA, SENEGAL, SOUTH-AFRICA, and 3 others |
+| **Publisher** | The Charter Project |
+| **OpenAfrica last updated** | 2023-04-11 |
+
+---
+
+## Variables
+
+**Identifier / Metadata** — `unnamed_1` (range 1789.0–2021.0), `unnamed_2` (range 0.021–0.937), `unnamed_3` (range 0.006–0.866), `unnamed_4` (range 0.055–0.971), `esa_source` (HDX) and 1 others.
+
+**Other** — `judicial_constraint_1900_2021` (Ethiopia, Sudan, Benin).
+
+---
+
+## Quick Start
+
+```python
+from datasets import load_dataset
+
+ds    = load_dataset("electricsheepafrica/africa-judicial-constraints-on-the-executive-2021-for-select-african-countries")
+train = ds["train"].to_pandas()
+test  = ds["test"].to_pandas()
+
+print(train.shape)
+train.head()
+```
+
+---
+
+## Schema
+
+| Column | Type | Null % | Range / Sample Values |
+|---|---|---|---|
+| `judicial_constraint_1900_2021` | object | 0.1% | Ethiopia, Sudan, Benin |
+| `unnamed_1` | float64 | 0.1% | 1789.0 – 2021.0 (mean 1948.6377) |
+| `unnamed_2` | float64 | 0.1% | 0.021 – 0.937 (mean 0.4363) |
+| `unnamed_3` | float64 | 0.1% | 0.006 – 0.866 (mean 0.3228) |
+| `unnamed_4` | float64 | 0.1% | 0.055 – 0.971 (mean 0.5591) |
+| `esa_source` | object | 0.0% | HDX |
+| `esa_processed` | object | 0.0% | 2026-04-28 |
+
+---
+
+## Numeric Summary
+
+| Column | Min | Max | Mean | Median |
+|---|---|---|---|---|
+| `unnamed_1` | 1789.0 | 2021.0 | 1948.6377 | 1954.5 |
+| `unnamed_2` | 0.021 | 0.937 | 0.4363 | 0.365 |
+| `unnamed_3` | 0.006 | 0.866 | 0.3228 | 0.232 |
+| `unnamed_4` | 0.055 | 0.971 | 0.5591 | 0.531 |
+
+---
+
+## 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`. 4 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 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/judicial-constraints-on-the-executive-2021-for-select-african-countries) for the publisher's own methodology notes and caveats.
+
+---
+
+## Citation
+
+```bibtex
+@dataset{openafrica_africa_judicial_constraints_on_the_executive_2021_for_select_african_countries,
+  title     = {Judicial Constraints on the Executive, 2021 for select African Countries},
+  author    = {The Charter Project},
+  year      = {2023},
+  url       = {https://open.africa/dataset/judicial-constraints-on-the-executive-2021-for-select-african-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.*