Add README.md

README.md

@@ -1,66 +1,171 @@
 ---
+annotations_creators:
+- no-annotation
+language_creators:
+- found
+language:
+- en
+license: other
+multilinguality:
+- monolingual
+size_categories:
+- n<1K
+source_datasets:
+- original
+task_categories:
+- other
+task_ids: []
+tags:
+- africa
+- humanitarian
+- hdx
+- electric-sheep-africa
+- aviation
+- facilities-infrastructure
+- geodata
+- hxl
+- transportation
+- bfa
+pretty_name: "Airports in Burkina Faso"
 dataset_info:
-  features:
-  - name: id
-    dtype: float64
-  - name: ident
-    dtype: string
-  - name: type
-    dtype: string
-  - name: name
-    dtype: string
-  - name: latitude_deg
-    dtype: float64
-  - name: longitude_deg
-    dtype: float64
-  - name: elevation_ft
-    dtype: float64
-  - name: continent
-    dtype: string
-  - name: country_name
-    dtype: string
-  - name: iso_country
-    dtype: string
-  - name: region_name
-    dtype: string
-  - name: iso_region
-    dtype: string
-  - name: local_region
-    dtype: string
-  - name: municipality
-    dtype: string
-  - name: scheduled_service
-    dtype: float64
-  - name: gps_code
-    dtype: string
-  - name: icao_code
-    dtype: string
-  - name: iata_code
-    dtype: string
-  - name: wikipedia_link
-    dtype: string
-  - name: score
-    dtype: float64
-  - name: last_updated
-    dtype: timestamp[ns, tz=UTC]
-  - name: esa_source
-    dtype: string
-  - name: esa_processed
-    dtype: string
   splits:
-  - name: train
-    num_bytes: 10757
-    num_examples: 41
-  - name: test
-    num_bytes: 2748
-    num_examples: 11
-  download_size: 24894
-  dataset_size: 13505
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
+    - name: train
+      num_examples: 41
+    - name: test
+      num_examples: 10
 ---
+
+# Airports in Burkina Faso
+
+**Publisher:** OurAirports · **Source:** [HDX](https://data.humdata.org/dataset/ourairports-bfa) · **License:** `Public Domain` · **Updated:** 2026-04-15
+
+---
+
+## Abstract
+
+List of airports in Burkina Faso, with latitude and longitude. Unverified community data from http://ourairports.com/countries/BF/
+
+Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2026-04-15. Geographic scope: **BFA**.
+
+*Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).*
+
+---
+
+## Dataset Characteristics
+
+| | |
+|---|---|
+| **Domain** | Humanitarian and development data |
+| **Unit of observation** | First-level administrative unit observations |
+| **Rows (total)** | 52 |
+| **Columns** | 23 (6 numeric, 16 categorical, 0 datetime) |
+| **Train split** | 41 rows |
+| **Test split** | 10 rows |
+| **Geographic scope** | BFA |
+| **Publisher** | OurAirports |
+| **HDX last updated** | 2026-04-15 |
+
+---
+
+## Variables
+
+**Geographic** — `type` (small_airport, large_airport, closed), `latitude_deg` (range 9.883–14.7909), `longitude_deg` (range -5.35–1.7846), `country_name` (Burkina Faso, #country +name), `iso_country` (BF, #country +code +iso2) and 4 others.
+
+**Temporal** — `last_updated`.
+
+**Outcome / Measurement** — `score` (range 50.0–1000.0).
+
+**Identifier / Metadata** — `id` (range 2088.0–597081.0), `ident` (#meta +code, DFFD, DFCK), `name` (#loc +airport +name, Ouagadougou Thomas Sankara International Airport, Koudougou Airport), `gps_code`, `icao_code` and 3 others.
+
+**Other** — `elevation_ft` (range 699.0–1706.0), `continent` (AF, #region +continent +code), `scheduled_service` (range 0.0–1.0), `wikipedia_link`.
+
+---
+
+## Quick Start
+
+```python
+from datasets import load_dataset
+
+ds    = load_dataset("electricsheepafrica/africa-aviation-burkina-faso")
+train = ds["train"].to_pandas()
+test  = ds["test"].to_pandas()
+
+print(train.shape)
+train.head()
+```
+
+---
+
+## Schema
+
+| Column | Type | Null % | Range / Sample Values |
+|---|---|---|---|
+| `id` | float64 | 1.9% | 2088.0 – 597081.0 (mean 46965.8431) |
+| `ident` | object | 0.0% | #meta +code, DFFD, DFCK |
+| `type` | object | 0.0% | small_airport, large_airport, closed |
+| `name` | object | 0.0% | #loc +airport +name, Ouagadougou Thomas Sankara International Airport, Koudougou Airport |
+| `latitude_deg` | float64 | 1.9% | 9.883 – 14.7909 (mean 12.2922) |
+| `longitude_deg` | float64 | 1.9% | -5.35 – 1.7846 (mean -1.688) |
+| `elevation_ft` | float64 | 1.9% | 699.0 – 1706.0 (mean 1007.1176) |
+| `continent` | object | 0.0% | AF, #region +continent +code |
+| `country_name` | object | 0.0% | Burkina Faso, #country +name |
+| `iso_country` | object | 0.0% | BF, #country +code +iso2 |
+| `region_name` | object | 0.0% | Oudalan Province, Tapoa Province, Comoe Province |
+| `iso_region` | object | 0.0% | BF-OUD, BF-TAP, BF-COM |
+| `local_region` | object | 0.0% | OUD, TAP, COM |
+| `municipality` | object | 0.0% | #loc +municipality +name, Ouagadougou, Koudougou |
+| `scheduled_service` | float64 | 1.9% | 0.0 – 1.0 (mean 0.0392) |
+| `gps_code` | object | 3.8% |  |
+| `icao_code` | object | 28.8% |  |
+| `iata_code` | object | 46.2% |  |
+| `wikipedia_link` | object | 26.9% |  |
+| `score` | float64 | 1.9% | 50.0 – 1000.0 (mean 87.2549) |
+| `last_updated` | datetime64[ns, UTC] | 1.9% |  |
+| `esa_source` | object | 0.0% |  |
+| `esa_processed` | object | 0.0% |  |
+
+---
+
+## Numeric Summary
+
+| Column | Min | Max | Mean | Median |
+|---|---|---|---|---|
+| `id` | 2088.0 | 597081.0 | 46965.8431 | 30908.0 |
+| `latitude_deg` | 9.883 | 14.7909 | 12.2922 | 12.2 |
+| `longitude_deg` | -5.35 | 1.7846 | -1.688 | -1.6247 |
+| `elevation_ft` | 699.0 | 1706.0 | 1007.1176 | 984.0 |
+| `scheduled_service` | 0.0 | 1.0 | 0.0392 | 0.0 |
+| `score` | 50.0 | 1000.0 | 87.2549 | 50.0 |
+
+---
+
+## 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`. 3 column(s) with >80% missing values were removed: `local_code`, `home_link`, `keywords`. 7 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 OurAirports and has not been independently validated by ESA.
+- Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
+- The following columns have >20% missing values and should be treated with caution in modelling: `icao_code`, `iata_code`, `wikipedia_link`.
+- Refer to the [original HDX dataset page](https://data.humdata.org/dataset/ourairports-bfa) for the publisher's own methodology notes and caveats.
+
+---
+
+## Citation
+
+```bibtex
+@dataset{hdx_africa_aviation_burkina_faso,
+  title     = {Airports in Burkina Faso},
+  author    = {OurAirports},
+  year      = {2026},
+  url       = {https://data.humdata.org/dataset/ourairports-bfa},
+  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.*