Add README.md

README.md

@@ -1,30 +1,147 @@
 ---
+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-classification
+- tabular-regression
+task_ids: []
+tags:
+- africa
+- humanitarian
+- hdx
+- electric-sheep-africa
+- democratic-culture
+- political-pluralism
+- benin
+- botswana
+- cape-verde
+- ethiopia
+- kenya
+pretty_name: "Respect of Counterarguments (1900-2021)"
 dataset_info:
-  features:
-  - name: respect_of_counterarguments_1900_2021
-    dtype: string
-  - name: unnamed_1
-    dtype: float64
-  - name: unnamed_2
-    dtype: float64
-  - name: esa_source
-    dtype: string
-  - name: esa_processed
-    dtype: string
   splits:
-  - name: train
-    num_bytes: 50935
-    num_examples: 1041
-  - name: test
-    num_bytes: 12619
-    num_examples: 261
-  download_size: 12467
-  dataset_size: 63554
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
+    - name: train
+      num_examples: 1041
+    - name: test
+      num_examples: 260
 ---
+
+# Respect of Counterarguments (1900-2021)
+
+**Publisher:** V-Dem Institute · **Source:** [OpenAfrica](https://open.africa/dataset/respect-of-counteraguments-1900-2021) · **License:** `cc-by` · **Updated:** 2023-01-27
+
+---
+
+## Abstract
+
+The variable Counter arguments scores denotes the best estimate of the extent to which political elites acknowledge and respect counterarguments when considering important policy changes.
+
+Higher scores mean more respect.
+
+Each row in this dataset represents tabular records. Data was last updated on OpenAfrica on 2023-01-27. 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)** | 1,302 |
+| **Columns** | 5 (2 numeric, 3 categorical, 0 datetime) |
+| **Train split** | 1,041 rows |
+| **Test split** | 260 rows |
+| **Geographic scope** | BENIN, BOTSWANA, CAPE-VERDE, ETHIOPIA, KENYA, NIGERIA, SENEGAL, SOUTH-AFRICA, and 4 others |
+| **Publisher** | V-Dem Institute |
+| **OpenAfrica last updated** | 2023-01-27 |
+
+---
+
+## Variables
+
+**Outcome / Measurement** — `respect_of_counterarguments_1900_2021` (Benin, Botswana, Cape Verde).
+
+**Identifier / Metadata** — `unnamed_1` (range 1900.0–2021.0), `unnamed_2` (range -2.231–3.012), `esa_source` (HDX), `esa_processed` (2026-04-28).
+
+---
+
+## Quick Start
+
+```python
+from datasets import load_dataset
+
+ds    = load_dataset("electricsheepafrica/africa-respect-of-counteraguments-1900-2021")
+train = ds["train"].to_pandas()
+test  = ds["test"].to_pandas()
+
+print(train.shape)
+train.head()
+```
+
+---
+
+## Schema
+
+| Column | Type | Null % | Range / Sample Values |
+|---|---|---|---|
+| `respect_of_counterarguments_1900_2021` | object | 0.1% | Benin, Botswana, Cape Verde |
+| `unnamed_1` | float64 | 0.2% | 1900.0 – 2021.0 (mean 1962.3156) |
+| `unnamed_2` | float64 | 0.2% | -2.231 – 3.012 (mean -0.1563) |
+| `esa_source` | object | 0.0% | HDX |
+| `esa_processed` | object | 0.0% | 2026-04-28 |
+
+---
+
+## Numeric Summary
+
+| Column | Min | Max | Mean | Median |
+|---|---|---|---|---|
+| `unnamed_1` | 1900.0 | 2021.0 | 1962.3156 | 1962.0 |
+| `unnamed_2` | -2.231 | 3.012 | -0.1563 | -0.221 |
+
+---
+
+## 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`. 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 V-Dem Institute 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/respect-of-counteraguments-1900-2021) for the publisher's own methodology notes and caveats.
+
+---
+
+## Citation
+
+```bibtex
+@dataset{openafrica_africa_respect_of_counteraguments_1900_2021,
+  title     = {Respect of Counterarguments (1900-2021)},
+  author    = {V-Dem Institute},
+  year      = {2023},
+  url       = {https://open.africa/dataset/respect-of-counteraguments-1900-2021},
+  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.*