Datasets:

electricsheepafrica
/

africa-aviation-burkina-faso

@@ -1,171 +1,145 @@
 ---
-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:
-  splits:
-    - 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.*

 ---
+license: other
 language:
 - en
+task_categories:
+- tabular-classification
+- tabular-regression
+multilinguality: monolingual
 size_categories:
 - n<1K
 tags:
+- "africa"
+- "electric-sheep-africa"
+- "open-data"
+- "metadata-backed"
+- "infrastructure-transport"
+- "parquet"
+- "tabular"
+- "text"
+- "humanitarian"
+- "hdx"
+- "aviation"
+- "facilities-infrastructure"
+- "geodata"
+- "hxl"
+- "transportation"
+- "bfa"
+- "infrastructure"
+pretty_name: "Airports in Burkina Faso | Africa (original)"
 ---
+# Airports in Burkina Faso | Africa (original)
+**Size category:** `n<1K` - **Formats:** `parquet` - **Sector:** infrastructure_transport - *Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)*
+![size](https://img.shields.io/badge/size-n%3C1K-blue)
+![sector](https://img.shields.io/badge/sector-infrastructure_transport-green)
+![downloads](https://img.shields.io/badge/HF_downloads-7-orange)
+![license](https://img.shields.io/badge/license-other-lightgrey)
+## TL;DR
+This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
+## What This Dataset Covers
+Public datasets help analysts inspect structured evidence, build reproducible workflows, and compare patterns across domains.
+Dataset context from the existing Hugging Face card: Airports in Burkina Faso Publisher: OurAirports · Source: HDX · 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.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-aviation-burkina-faso.
+## Dataset Profile
+| Field | Value |
 |---|---|
+| Hugging Face repo | [`electricsheepafrica/africa-aviation-burkina-faso`](https://huggingface.co/datasets/electricsheepafrica/africa-aviation-burkina-faso) |
+| Sector | infrastructure_transport |
+| Topic tags | humanitarian, hdx, electric-sheep-africa, aviation, facilities-infrastructure, geodata, hxl, transportation, bfa |
+| Modalities | `tabular`, `text` |
+| Formats | `parquet` |
+| Size category | `n<1K` |
+| Countries | Burkina Faso |
+| ISO3 coverage | `BFA` |
+| Last modified on HF | `2026-04-22 13:25:35+00:00` |
+| Inventory snapshot | `2026-07-16T16:00:34Z` |
+## How To Read This Dataset
+- Start from the repository files and the dataset viewer when available.
+- Treat the README context as a fast orientation layer; confirm variable definitions and units in the data files before modeling.
+- Use explicit country columns when present. When geography is only implied by the title or source metadata, document that assumption in downstream analysis.
+- Preserve missing values until you have a defensible imputation rule.
+## Usage
 ```python
 from datasets import load_dataset
+ds = load_dataset("electricsheepafrica/africa-aviation-burkina-faso")
+print(ds)
+split_name = next(iter(ds))
+table = ds[split_name]
+print(table.features)
+print(table[:3])
 ```
+### Convert To Pandas When Tabular
+```python
+from datasets import Dataset
+first_split = ds[next(iter(ds))]
+if isinstance(first_split, Dataset):
+    df = first_split.to_pandas()
+    print(df.head())
+```
+## Data Quality Notes
+- This card was standardized from the Electric Sheep Africa Hugging Face metadata inventory.
+- Exact schema, row counts, and source files should be inspected in the repository data files.
+- Metadata gaps from the inventory: upstream_publisher.
+- Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.
+## Source And Provenance
+- **Source context:** original
+- **Publisher/source attribution:** original
+- **License:** Source-specific or other license
+- **Hugging Face URL:** [https://huggingface.co/datasets/electricsheepafrica/africa-aviation-burkina-faso](https://huggingface.co/datasets/electricsheepafrica/africa-aviation-burkina-faso)
+- **Inventory retrieved at:** `2026-07-16T16:00:34Z`
+## Suggested Analyses
+- Inspect schema and missingness before modeling.
+- Profile variables by geography, time, and subgroup columns where present.
+- Join with other Electric Sheep Africa datasets using explicit country, year, and indicator fields when available.
+- Build reproducible notebooks that cite both the original source context and the Electric Sheep Africa Hugging Face repo.
 ## Citation
 ```bibtex
+@misc{electric_sheep_africa_africa_aviation_burkina_faso_2026,
+  title        = {Airports in Burkina Faso | Africa (original)},
+  author       = {original},
+  year         = {2026},
+  url          = {https://huggingface.co/datasets/electricsheepafrica/africa-aviation-burkina-faso},
+  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
+  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-aviation-burkina-faso}}
 }
 ```
+## License
+Released under Source-specific or other license.
+Original source rights remain with the original publisher or data provider. Electric Sheep Africa engineering standardizes discovery metadata, documentation, and usage guidance for analysis on Hugging Face.
+## About Electric Sheep Africa
+Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.
 ---
+Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: `catalog/esa_metadata_inventory/master_metadata.jsonl`.