electricsheepafrica/africa-ivory-coast-health-facilities

---
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
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- geodata
- health
- health-facilities
- civ
pretty_name: "Cote d'Ivoire healthsites"
dataset_info:
splits:
- name: train
num_examples: 163
- name: test
num_examples: 40
---

# Cote d'Ivoire healthsites

**Publisher:** Global Healthsites Mapping Project · **Source:** [HDX](https://data.humdata.org/dataset/ivory-coast-health-facilities) · **License:** `cc-by-igo` · **Updated:** 2025-04-25

---

## Abstract

This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long

Each row in this dataset represents time-series observations. Data was last updated on HDX on 2025-04-25. Geographic scope: **CIV**.

*Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).*

---

## Dataset Characteristics

| | |
|---|---|
| **Domain** | Public health |
| **Unit of observation** | Time-series observations |
| **Rows (total)** | 204 |
| **Columns** | 12 (1 numeric, 11 categorical, 0 datetime) |
| **Train split** | 163 rows |
| **Test split** | 40 rows |
| **Geographic scope** | CIV |
| **Publisher** | Global Healthsites Mapping Project |
| **HDX last updated** | 2025-04-25 |

---

## Variables

**Geographic** — `type` (hospital, clinic).

**Temporal** — `date_modified` (2015-11-17T09:43:57.838Z, 2015-12-11T10:51:22.924Z, 2016-11-05T15:18:27Z).

**Identifier / Metadata** — `source_url` (http://www.standbytaskforce.org/, http://www.openstreetmap.org/node/3007144564, http://www.openstreetmap.org/node/4019808596), `uuid` (6f6148282b654930a1f2bd9feb9b378e, 383ae58ff82c4f608a53c1a65c1dcc1d, 98efbc22d80f4d30b2cdb7683ca18239), `name` (Hôpital général de Bingerville, Hôpital psychiatrique de Bingerville, Hopital General d'Alépé), `source` (OpenStreetMap, Standby Task Force), `esa_source` (HDX) and 1 others.

**Other** — `upstream` (openstreetmap¶n3007144564, OpenStreetMap¶n4019808596, OpenStreetMap¶w340252445), `completeness` (35.29%, 29.41%, 41.18%), `what3words` (tonal.spell.myth, education.highbrow.ticket, drip.innocence.wriggled), `version` (range 2.0–2.0).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-ivory-coast-health-facilities")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

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

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `upstream` | object | 0.0% | openstreetmap¶n3007144564, OpenStreetMap¶n4019808596, OpenStreetMap¶w340252445 |
| `date_modified` | object | 0.0% | 2015-11-17T09:43:57.838Z, 2015-12-11T10:51:22.924Z, 2016-11-05T15:18:27Z |
| `source_url` | object | 0.0% | http://www.standbytaskforce.org/, http://www.openstreetmap.org/node/3007144564, http://www.openstreetmap.org/node/4019808596 |
| `completeness` | object | 0.0% | 35.29%, 29.41%, 41.18% |
| `uuid` | object | 0.0% | 6f6148282b654930a1f2bd9feb9b378e, 383ae58ff82c4f608a53c1a65c1dcc1d, 98efbc22d80f4d30b2cdb7683ca18239 |
| `name` | object | 0.0% | Hôpital général de Bingerville, Hôpital psychiatrique de Bingerville, Hopital General d'Alépé |
| `type` | object | 1.5% | hospital, clinic |
| `source` | object | 0.0% | OpenStreetMap, Standby Task Force |
| `what3words` | object | 0.0% | tonal.spell.myth, education.highbrow.ticket, drip.innocence.wriggled |
| `version` | int64 | 0.0% | 2.0 – 2.0 (mean 2.0) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `version` | 2.0 | 2.0 | 2.0 | 2.0 |

---

## 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`. 5 column(s) with >80% missing values were removed: `physical_address`, `url`, `email`, `phone`, `raw_source`. 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 Global Healthsites Mapping Project 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/ivory-coast-health-facilities) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_ivory_coast_health_facilities,
title = {Cote d'Ivoire healthsites},
author = {Global Healthsites Mapping Project},
year = {2025},
url = {https://data.humdata.org/dataset/ivory-coast-health-facilities},
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.*