Add README.md

README.md

@@ -1,36 +1,146 @@
 ---
+annotations_creators:
+- no-annotation
+language_creators:
+- found
+language:
+- en
+license: other
+multilinguality:
+- monolingual
+size_categories:
+- n<1K
+source_datasets:
+- original
+task_categories:
+- tabular-classification
+task_ids: []
+tags:
+- africa
+- humanitarian
+- hdx
+- electric-sheep-africa
+- epidemics-outbreaks
+- governance-and-civil-society
+- health
+- ken
+pretty_name: "National Top 10 Incidences of Diseases: 2009 to 2013"
 dataset_info:
-  features:
-  - name: disease_name
-    dtype: string
-  - name: '2009'
-    dtype: int64
-  - name: '2010'
-    dtype: int64
-  - name: '2011'
-    dtype: int64
-  - name: '2012'
-    dtype: int64
-  - name: '2013'
-    dtype: int64
-  - name: esa_source
-    dtype: string
-  - name: esa_processed
-    dtype: string
   splits:
-  - name: train
-    num_bytes: 681
-    num_examples: 8
-  - name: test
-    num_bytes: 274
-    num_examples: 3
-  download_size: 7707
-  dataset_size: 955
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
+    - name: train
+      num_examples: 8
+    - name: test
+      num_examples: 2
 ---
+
+# National Top 10 Incidences of Diseases: 2009 to 2013
+
+**Publisher:** Kenya National Bureau of Statistics (inactive) · **Source:** [HDX](https://data.humdata.org/dataset/national-top-10-incidences-of-diseases-2009-to-2013) · **License:** `other-pd-nr` · **Updated:** 2025-02-06
+
+---
+
+## Abstract
+
+This dataset shows the National Top 10 Incidences of Diseases in kenya for the period of : 2009 to 2013 as reported by the Kenya National Bureau of statistics
+
+Each row in this dataset represents tabular records. Data was last updated on HDX on 2025-02-06. Geographic scope: **KEN**.
+
+*Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).*
+
+---
+
+## Dataset Characteristics
+
+| | |
+|---|---|
+| **Domain** | Public health |
+| **Unit of observation** | Tabular records |
+| **Rows (total)** | 11 |
+| **Columns** | 8 (5 numeric, 3 categorical, 0 datetime) |
+| **Train split** | 8 rows |
+| **Test split** | 2 rows |
+| **Geographic scope** | KEN |
+| **Publisher** | Kenya National Bureau of Statistics (inactive) |
+| **HDX last updated** | 2025-02-06 |
+
+---
+
+## Variables
+
+**Identifier / Metadata** — `disease_name` (Accidents (incl. fractures, burns etc), All Other Diseases, Diarrhoea Diseases), `esa_source` (HDX), `esa_processed` (2026-04-07).
+
+**Other** — `2009` (range 387066.0–9833701.0), `2010` (range 419298.0–11371889.0), `2011` (range 374886.0–11150223.0), `2012` (range 357844.0–12215993.0), `2013` (range 349632.0–14823864.0).
+
+---
+
+## Quick Start
+
+```python
+from datasets import load_dataset
+
+ds    = load_dataset("electricsheepafrica/africa-national-top-10-incidences-of-diseases-2009-to-2013")
+train = ds["train"].to_pandas()
+test  = ds["test"].to_pandas()
+
+print(train.shape)
+train.head()
+```
+
+---
+
+## Schema
+
+| Column | Type | Null % | Range / Sample Values |
+|---|---|---|---|
+| `disease_name` | object | 0.0% | Accidents (incl. fractures, burns etc), All Other Diseases, Diarrhoea Diseases |
+| `2009` | int64 | 0.0% | 387066.0 – 9833701.0 (mean 2905534.2727) |
+| `2010` | int64 | 0.0% | 419298.0 – 11371889.0 (mean 3478372.4545) |
+| `2011` | int64 | 0.0% | 374886.0 – 11150223.0 (mean 3484770.6364) |
+| `2012` | int64 | 0.0% | 357844.0 – 12215993.0 (mean 3580971.3636) |
+| `2013` | int64 | 0.0% | 349632.0 – 14823864.0 (mean 3966956.0909) |
+| `esa_source` | object | 0.0% | HDX |
+| `esa_processed` | object | 0.0% | 2026-04-07 |
+
+---
+
+## Numeric Summary
+
+| Column | Min | Max | Mean | Median |
+|---|---|---|---|---|
+| `2009` | 387066.0 | 9833701.0 | 2905534.2727 | 1018151.0 |
+| `2010` | 419298.0 | 11371889.0 | 3478372.4545 | 1081317.0 |
+| `2011` | 374886.0 | 11150223.0 | 3484770.6364 | 1100997.0 |
+| `2012` | 357844.0 | 12215993.0 | 3580971.3636 | 1135046.0 |
+| `2013` | 349632.0 | 14823864.0 | 3966956.0909 | 1282996.0 |
+
+---
+
+## Curation
+
+Raw data was downloaded from HDX 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`. 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 Kenya National Bureau of Statistics (inactive) and has not been independently validated by ESA.
+- Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
+- Refer to the [original HDX dataset page](https://data.humdata.org/dataset/national-top-10-incidences-of-diseases-2009-to-2013) for the publisher's own methodology notes and caveats.
+
+---
+
+## Citation
+
+```bibtex
+@dataset{hdx_africa_national_top_10_incidences_of_diseases_2009_to_2013,
+  title     = {National Top 10 Incidences of Diseases: 2009 to 2013},
+  author    = {Kenya National Bureau of Statistics (inactive)},
+  year      = {2025},
+  url       = {https://data.humdata.org/dataset/national-top-10-incidences-of-diseases-2009-to-2013},
+  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.*