electricsheepafrica/africa-ethiopian-airdromes

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: cc-by-4.0
multilinguality:
- monolingual
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- tabular-classification
- tabular-regression
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- aviation
- transportation
- eth
pretty_name: "Ethiopia - Airports"
dataset_info:
splits:
- name: train
num_examples: 29
- name: test
num_examples: 7
---

# Ethiopia - Airports

**Publisher:** OCHA Ethiopia · **Source:** [HDX](https://data.humdata.org/dataset/ethiopian-airdromes) · **License:** `cc-by` · **Updated:** 2025-11-25

---

## Abstract

Data collated from Ethiopian Airports Agency, it contains data on airport facilities.

Each row in this dataset represents tabular records. Data was last updated on HDX on 2025-11-25. Geographic scope: **ETH**.

*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)** | 37 |
| **Columns** | 9 (5 numeric, 4 categorical, 0 datetime) |
| **Train split** | 29 rows |
| **Test split** | 7 rows |
| **Geographic scope** | ETH |
| **Publisher** | OCHA Ethiopia |
| **HDX last updated** | 2025-11-25 |

---

## Variables

**Geographic** — `type` (Airport, Airstrip, Airfield), `point_x` (range 0.0–45.332), `point_y` (range 0.0–14.1438).

**Identifier / Metadata** — `objectid` (range 1.0–39.0), `oid` (range 0.0–33.0), `name` (Hawasa Airport, Debre Markos Airfield, Robe Airstrip), `esa_source` (HDX), `esa_processed` (2026-04-07).

**Other** — `point_z` (range 0.0–0.0).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-ethiopian-airdromes")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

print(train.shape)
train.head()
```

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `objectid` | int64 | 0.0% | 1.0 – 39.0 (mean 19.4865) |
| `oid` | int64 | 0.0% | 0.0 – 33.0 (mean 16.1351) |
| `name` | object | 0.0% | Hawasa Airport, Debre Markos Airfield, Robe Airstrip |
| `type` | object | 0.0% | Airport, Airstrip, Airfield |
| `point_x` | float64 | 0.0% | 0.0 – 45.332 (mean 37.7175) |
| `point_y` | float64 | 0.0% | 0.0 – 14.1438 (mean 8.776) |
| `point_z` | float64 | 0.0% | 0.0 – 0.0 (mean 0.0) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-07 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `objectid` | 1.0 | 39.0 | 19.4865 | 19.0 |
| `oid` | 0.0 | 33.0 | 16.1351 | 15.0 |
| `point_x` | 0.0 | 45.332 | 37.7175 | 38.3968 |
| `point_y` | 0.0 | 14.1438 | 8.776 | 8.557 |
| `point_z` | 0.0 | 0.0 | 0.0 | 0.0 |

---

## 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`. 1 column(s) with >80% missing values were removed: `surface_ty`. 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 OCHA Ethiopia 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/ethiopian-airdromes) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_ethiopian_airdromes,
title = {Ethiopia - Airports},
author = {OCHA Ethiopia},
year = {2025},
url = {https://data.humdata.org/dataset/ethiopian-airdromes},
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.*