Datasets:
Add README.md
Browse files
README.md
CHANGED
|
@@ -1,134 +1,202 @@
|
|
| 1 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
dataset_info:
|
| 3 |
-
features:
|
| 4 |
-
- name: rule_of_law_index_2012_2022
|
| 5 |
-
dtype: string
|
| 6 |
-
- name: unnamed_1
|
| 7 |
-
dtype: string
|
| 8 |
-
- name: unnamed_2
|
| 9 |
-
dtype: float64
|
| 10 |
-
- name: unnamed_3
|
| 11 |
-
dtype: float64
|
| 12 |
-
- name: unnamed_4
|
| 13 |
-
dtype: float64
|
| 14 |
-
- name: unnamed_5
|
| 15 |
-
dtype: float64
|
| 16 |
-
- name: unnamed_6
|
| 17 |
-
dtype: float64
|
| 18 |
-
- name: unnamed_7
|
| 19 |
-
dtype: float64
|
| 20 |
-
- name: unnamed_8
|
| 21 |
-
dtype: float64
|
| 22 |
-
- name: unnamed_9
|
| 23 |
-
dtype: float64
|
| 24 |
-
- name: unnamed_10
|
| 25 |
-
dtype: float64
|
| 26 |
-
- name: unnamed_11
|
| 27 |
-
dtype: float64
|
| 28 |
-
- name: unnamed_12
|
| 29 |
-
dtype: float64
|
| 30 |
-
- name: unnamed_13
|
| 31 |
-
dtype: float64
|
| 32 |
-
- name: unnamed_14
|
| 33 |
-
dtype: float64
|
| 34 |
-
- name: unnamed_15
|
| 35 |
-
dtype: float64
|
| 36 |
-
- name: unnamed_16
|
| 37 |
-
dtype: float64
|
| 38 |
-
- name: unnamed_17
|
| 39 |
-
dtype: float64
|
| 40 |
-
- name: unnamed_18
|
| 41 |
-
dtype: float64
|
| 42 |
-
- name: unnamed_19
|
| 43 |
-
dtype: float64
|
| 44 |
-
- name: unnamed_20
|
| 45 |
-
dtype: float64
|
| 46 |
-
- name: unnamed_21
|
| 47 |
-
dtype: float64
|
| 48 |
-
- name: unnamed_22
|
| 49 |
-
dtype: float64
|
| 50 |
-
- name: unnamed_23
|
| 51 |
-
dtype: float64
|
| 52 |
-
- name: unnamed_24
|
| 53 |
-
dtype: float64
|
| 54 |
-
- name: unnamed_25
|
| 55 |
-
dtype: float64
|
| 56 |
-
- name: unnamed_26
|
| 57 |
-
dtype: float64
|
| 58 |
-
- name: unnamed_27
|
| 59 |
-
dtype: float64
|
| 60 |
-
- name: unnamed_28
|
| 61 |
-
dtype: float64
|
| 62 |
-
- name: unnamed_29
|
| 63 |
-
dtype: float64
|
| 64 |
-
- name: unnamed_30
|
| 65 |
-
dtype: float64
|
| 66 |
-
- name: unnamed_31
|
| 67 |
-
dtype: float64
|
| 68 |
-
- name: unnamed_32
|
| 69 |
-
dtype: float64
|
| 70 |
-
- name: unnamed_33
|
| 71 |
-
dtype: float64
|
| 72 |
-
- name: unnamed_34
|
| 73 |
-
dtype: float64
|
| 74 |
-
- name: unnamed_35
|
| 75 |
-
dtype: float64
|
| 76 |
-
- name: unnamed_36
|
| 77 |
-
dtype: float64
|
| 78 |
-
- name: unnamed_37
|
| 79 |
-
dtype: float64
|
| 80 |
-
- name: unnamed_38
|
| 81 |
-
dtype: float64
|
| 82 |
-
- name: unnamed_39
|
| 83 |
-
dtype: float64
|
| 84 |
-
- name: unnamed_40
|
| 85 |
-
dtype: float64
|
| 86 |
-
- name: unnamed_41
|
| 87 |
-
dtype: float64
|
| 88 |
-
- name: unnamed_42
|
| 89 |
-
dtype: float64
|
| 90 |
-
- name: unnamed_43
|
| 91 |
-
dtype: float64
|
| 92 |
-
- name: unnamed_44
|
| 93 |
-
dtype: float64
|
| 94 |
-
- name: unnamed_45
|
| 95 |
-
dtype: float64
|
| 96 |
-
- name: unnamed_46
|
| 97 |
-
dtype: float64
|
| 98 |
-
- name: unnamed_47
|
| 99 |
-
dtype: float64
|
| 100 |
-
- name: unnamed_48
|
| 101 |
-
dtype: float64
|
| 102 |
-
- name: unnamed_49
|
| 103 |
-
dtype: float64
|
| 104 |
-
- name: unnamed_50
|
| 105 |
-
dtype: float64
|
| 106 |
-
- name: unnamed_51
|
| 107 |
-
dtype: float64
|
| 108 |
-
- name: unnamed_52
|
| 109 |
-
dtype: float64
|
| 110 |
-
- name: unnamed_53
|
| 111 |
-
dtype: float64
|
| 112 |
-
- name: unnamed_54
|
| 113 |
-
dtype: float64
|
| 114 |
-
- name: esa_source
|
| 115 |
-
dtype: string
|
| 116 |
-
- name: esa_processed
|
| 117 |
-
dtype: string
|
| 118 |
splits:
|
| 119 |
-
|
| 120 |
-
|
| 121 |
-
|
| 122 |
-
|
| 123 |
-
num_bytes: 8150
|
| 124 |
-
num_examples: 17
|
| 125 |
-
download_size: 65659
|
| 126 |
-
dataset_size: 38871
|
| 127 |
-
configs:
|
| 128 |
-
- config_name: default
|
| 129 |
-
data_files:
|
| 130 |
-
- split: train
|
| 131 |
-
path: data/train-*
|
| 132 |
-
- split: test
|
| 133 |
-
path: data/test-*
|
| 134 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
+
annotations_creators:
|
| 3 |
+
- no-annotation
|
| 4 |
+
language_creators:
|
| 5 |
+
- found
|
| 6 |
+
language:
|
| 7 |
+
- en
|
| 8 |
+
license: cc-by-4.0
|
| 9 |
+
multilinguality:
|
| 10 |
+
- monolingual
|
| 11 |
+
size_categories:
|
| 12 |
+
- n<1K
|
| 13 |
+
source_datasets:
|
| 14 |
+
- original
|
| 15 |
+
task_categories:
|
| 16 |
+
- tabular-regression
|
| 17 |
+
task_ids: []
|
| 18 |
+
tags:
|
| 19 |
+
- africa
|
| 20 |
+
- humanitarian
|
| 21 |
+
- hdx
|
| 22 |
+
- electric-sheep-africa
|
| 23 |
+
- rule-of-law
|
| 24 |
+
pretty_name: "Rule of law index, 2022 for select African countries"
|
| 25 |
dataset_info:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 26 |
splits:
|
| 27 |
+
- name: train
|
| 28 |
+
num_examples: 65
|
| 29 |
+
- name: test
|
| 30 |
+
num_examples: 16
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 31 |
---
|
| 32 |
+
|
| 33 |
+
# Rule of law index, 2022 for select African countries
|
| 34 |
+
|
| 35 |
+
**Publisher:** The Charter Project · **Source:** [OpenAfrica](https://open.africa/dataset/rule-of-law-index-2022-for-select-african-countries) · **License:** `cc-by` · **Updated:** 2023-04-12
|
| 36 |
+
|
| 37 |
+
---
|
| 38 |
+
|
| 39 |
+
## Abstract
|
| 40 |
+
|
| 41 |
+
The 2022 WJP Rule of Law Index evaluates 140 countries and jurisdictions around the world. For the fifth year in a row, the rule of law has declined in most countries.
|
| 42 |
+
|
| 43 |
+
Each row in this dataset represents tabular records. Data was last updated on OpenAfrica on 2023-04-12. Geographic scope: **Africa (multiple countries)**.
|
| 44 |
+
|
| 45 |
+
*Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).*
|
| 46 |
+
|
| 47 |
+
---
|
| 48 |
+
|
| 49 |
+
## Dataset Characteristics
|
| 50 |
+
|
| 51 |
+
| | |
|
| 52 |
+
|---|---|
|
| 53 |
+
| **Domain** | Humanitarian and development data |
|
| 54 |
+
| **Unit of observation** | Tabular records |
|
| 55 |
+
| **Rows (total)** | 82 |
|
| 56 |
+
| **Columns** | 57 (53 numeric, 4 categorical, 0 datetime) |
|
| 57 |
+
| **Train split** | 65 rows |
|
| 58 |
+
| **Test split** | 16 rows |
|
| 59 |
+
| **Geographic scope** | Africa (multiple countries) |
|
| 60 |
+
| **Publisher** | The Charter Project |
|
| 61 |
+
| **OpenAfrica last updated** | 2023-04-12 |
|
| 62 |
+
|
| 63 |
+
---
|
| 64 |
+
|
| 65 |
+
## Variables
|
| 66 |
+
|
| 67 |
+
**Geographic** — `rule_of_law_index_2012_2022` (Botswana, Ethiopia, Kenya).
|
| 68 |
+
|
| 69 |
+
**Identifier / Metadata** — `unnamed_1` (2021, 2022, 2019), `unnamed_2` (range 0.38–0.7), `unnamed_3` (range 0.39–0.76), `unnamed_4` (range 0.31–0.79), `unnamed_5` (range 0.22–0.64) and 51 others.
|
| 70 |
+
|
| 71 |
+
---
|
| 72 |
+
|
| 73 |
+
## Quick Start
|
| 74 |
+
|
| 75 |
+
```python
|
| 76 |
+
from datasets import load_dataset
|
| 77 |
+
|
| 78 |
+
ds = load_dataset("electricsheepafrica/africa-rule-of-law-index-2022-for-select-african-countries")
|
| 79 |
+
train = ds["train"].to_pandas()
|
| 80 |
+
test = ds["test"].to_pandas()
|
| 81 |
+
|
| 82 |
+
print(train.shape)
|
| 83 |
+
train.head()
|
| 84 |
+
```
|
| 85 |
+
|
| 86 |
+
---
|
| 87 |
+
|
| 88 |
+
## Schema
|
| 89 |
+
|
| 90 |
+
| Column | Type | Null % | Range / Sample Values |
|
| 91 |
+
|---|---|---|---|
|
| 92 |
+
| `rule_of_law_index_2012_2022` | object | 2.4% | Botswana, Ethiopia, Kenya |
|
| 93 |
+
| `unnamed_1` | object | 3.7% | 2021, 2022, 2019 |
|
| 94 |
+
| `unnamed_2` | float64 | 4.9% | 0.38 – 0.7 (mean 0.4909) |
|
| 95 |
+
| `unnamed_3` | float64 | 4.9% | 0.39 – 0.76 (mean 0.5722) |
|
| 96 |
+
| `unnamed_4` | float64 | 4.9% | 0.31 – 0.79 (mean 0.5068) |
|
| 97 |
+
| `unnamed_5` | float64 | 4.9% | 0.22 – 0.64 (mean 0.4746) |
|
| 98 |
+
| `unnamed_6` | float64 | 4.9% | 0.31 – 0.7 (mean 0.4787) |
|
| 99 |
+
| `unnamed_7` | float64 | 4.9% | 0.22 – 0.78 (mean 0.525) |
|
| 100 |
+
| `unnamed_8` | float64 | 4.9% | 0.25 – 0.83 (mean 0.5764) |
|
| 101 |
+
| `unnamed_9` | float64 | 4.9% | 0.33 – 0.73 (mean 0.5223) |
|
| 102 |
+
| `unnamed_10` | float64 | 4.9% | 0.26 – 0.73 (mean 0.4245) |
|
| 103 |
+
| `unnamed_11` | float64 | 4.9% | 0.31 – 0.8 (mean 0.5174) |
|
| 104 |
+
| `unnamed_12` | float64 | 4.9% | 0.21 – 0.77 (mean 0.4612) |
|
| 105 |
+
| `unnamed_13` | float64 | 4.9% | 0.05 – 0.75 (mean 0.3278) |
|
| 106 |
+
| `unnamed_14` | float64 | 4.9% | 0.25 – 0.75 (mean 0.4321) |
|
| 107 |
+
| `unnamed_15` | float64 | 4.9% | 0.19 – 0.67 (mean 0.335) |
|
| 108 |
+
| `unnamed_16` | float64 | 4.9% | 0.14 – 0.71 (mean 0.4476) |
|
| 109 |
+
| `unnamed_17` | float64 | 4.9% | 0.2 – 0.86 (mean 0.5296) |
|
| 110 |
+
| `unnamed_18` | float64 | 4.9% | 0.2 – 0.75 (mean 0.4709) |
|
| 111 |
+
| `unnamed_19` | float64 | 4.9% | 0.27 – 0.67 (mean 0.4454) |
|
| 112 |
+
| `unnamed_20` | float64 | 4.9% | 0.31 – 0.73 (mean 0.5308) |
|
| 113 |
+
| `unnamed_21` | float64 | 4.9% | 0.19 – 0.66 (mean 0.4214) |
|
| 114 |
+
| `unnamed_22` | float64 | 4.9% | |
|
| 115 |
+
| `unnamed_23` | float64 | 4.9% | |
|
| 116 |
+
| `unnamed_24` | float64 | 4.9% | |
|
| 117 |
+
| `unnamed_25` | float64 | 4.9% | |
|
| 118 |
+
| `unnamed_26` | float64 | 4.9% | |
|
| 119 |
+
| `unnamed_27` | float64 | 4.9% | |
|
| 120 |
+
| `unnamed_28` | float64 | 4.9% | |
|
| 121 |
+
| `unnamed_29` | float64 | 4.9% | |
|
| 122 |
+
| `unnamed_30` | float64 | 4.9% | |
|
| 123 |
+
| `unnamed_31` | float64 | 4.9% | |
|
| 124 |
+
| `unnamed_32` | float64 | 4.9% | |
|
| 125 |
+
| `unnamed_33` | float64 | 4.9% | |
|
| 126 |
+
| `unnamed_34` | float64 | 4.9% | |
|
| 127 |
+
| `unnamed_35` | float64 | 4.9% | |
|
| 128 |
+
| `unnamed_36` | float64 | 4.9% | |
|
| 129 |
+
| `unnamed_37` | float64 | 4.9% | |
|
| 130 |
+
| `unnamed_38` | float64 | 4.9% | |
|
| 131 |
+
| `unnamed_39` | float64 | 4.9% | |
|
| 132 |
+
| `unnamed_40` | float64 | 4.9% | |
|
| 133 |
+
| `unnamed_41` | float64 | 4.9% | |
|
| 134 |
+
| `unnamed_42` | float64 | 4.9% | |
|
| 135 |
+
| `unnamed_43` | float64 | 4.9% | |
|
| 136 |
+
| `unnamed_44` | float64 | 4.9% | |
|
| 137 |
+
| `unnamed_45` | float64 | 4.9% | |
|
| 138 |
+
| `unnamed_46` | float64 | 4.9% | |
|
| 139 |
+
| `unnamed_47` | float64 | 4.9% | |
|
| 140 |
+
| `unnamed_48` | float64 | 4.9% | |
|
| 141 |
+
| `unnamed_49` | float64 | 4.9% | |
|
| 142 |
+
| `unnamed_50` | float64 | 4.9% | |
|
| 143 |
+
| `unnamed_51` | float64 | 4.9% | |
|
| 144 |
+
| `unnamed_52` | float64 | 4.9% | |
|
| 145 |
+
| `unnamed_53` | float64 | 4.9% | |
|
| 146 |
+
| `unnamed_54` | float64 | 4.9% | |
|
| 147 |
+
| `esa_source` | object | 0.0% | HDX |
|
| 148 |
+
| `esa_processed` | object | 0.0% | 2026-04-28 |
|
| 149 |
+
|
| 150 |
+
---
|
| 151 |
+
|
| 152 |
+
## Numeric Summary
|
| 153 |
+
|
| 154 |
+
| Column | Min | Max | Mean | Median |
|
| 155 |
+
|---|---|---|---|---|
|
| 156 |
+
| `unnamed_2` | 0.38 | 0.7 | 0.4909 | 0.47 |
|
| 157 |
+
| `unnamed_3` | 0.39 | 0.76 | 0.5722 | 0.57 |
|
| 158 |
+
| `unnamed_4` | 0.31 | 0.79 | 0.5068 | 0.51 |
|
| 159 |
+
| `unnamed_5` | 0.22 | 0.64 | 0.4746 | 0.47 |
|
| 160 |
+
| `unnamed_6` | 0.31 | 0.7 | 0.4787 | 0.49 |
|
| 161 |
+
| `unnamed_7` | 0.22 | 0.78 | 0.525 | 0.525 |
|
| 162 |
+
| `unnamed_8` | 0.25 | 0.83 | 0.5764 | 0.565 |
|
| 163 |
+
| `unnamed_9` | 0.33 | 0.73 | 0.5223 | 0.52 |
|
| 164 |
+
| `unnamed_10` | 0.26 | 0.73 | 0.4245 | 0.415 |
|
| 165 |
+
| `unnamed_11` | 0.31 | 0.8 | 0.5174 | 0.48 |
|
| 166 |
+
| `unnamed_12` | 0.21 | 0.77 | 0.4612 | 0.45 |
|
| 167 |
+
| `unnamed_13` | 0.05 | 0.75 | 0.3278 | 0.34 |
|
| 168 |
+
| `unnamed_14` | 0.25 | 0.75 | 0.4321 | 0.42 |
|
| 169 |
+
| `unnamed_15` | 0.19 | 0.67 | 0.335 | 0.305 |
|
| 170 |
+
| `unnamed_16` | 0.14 | 0.71 | 0.4476 | 0.455 |
|
| 171 |
+
|
| 172 |
+
---
|
| 173 |
+
|
| 174 |
+
## Curation
|
| 175 |
+
|
| 176 |
+
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`. 53 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.
|
| 177 |
+
|
| 178 |
+
---
|
| 179 |
+
|
| 180 |
+
## Limitations
|
| 181 |
+
|
| 182 |
+
- Data originates from The Charter Project and has not been independently validated by ESA.
|
| 183 |
+
- Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
|
| 184 |
+
- Refer to the [original HDX dataset page](https://open.africa/dataset/rule-of-law-index-2022-for-select-african-countries) for the publisher's own methodology notes and caveats.
|
| 185 |
+
|
| 186 |
+
---
|
| 187 |
+
|
| 188 |
+
## Citation
|
| 189 |
+
|
| 190 |
+
```bibtex
|
| 191 |
+
@dataset{openafrica_africa_rule_of_law_index_2022_for_select_african_countries,
|
| 192 |
+
title = {Rule of law index, 2022 for select African countries},
|
| 193 |
+
author = {The Charter Project},
|
| 194 |
+
year = {2023},
|
| 195 |
+
url = {https://open.africa/dataset/rule-of-law-index-2022-for-select-african-countries},
|
| 196 |
+
note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
|
| 197 |
+
}
|
| 198 |
+
```
|
| 199 |
+
|
| 200 |
+
---
|
| 201 |
+
|
| 202 |
+
*[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — Africa's ML dataset infrastructure. Lagos, Nigeria.*
|