electricsheepafrica/africa-cote-d-ivoire-primary-schools

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: cc-by-sa-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- other
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- education
- education-facilities-schools
- geodata
- civ
pretty_name: "Côte d'Ivoire - Primary Schools"
dataset_info:
splits:
- name: train
num_examples: 13907
- name: test
num_examples: 3476
---

# Côte d'Ivoire - Primary Schools

**Publisher:** Enveritas (inactive) · **Source:** [HDX](https://data.humdata.org/dataset/cote-d-ivoire-primary-schools) · **License:** `cc-by-sa` · **Updated:** 2024-04-17

---

## Abstract

This dataset contains geolocations of **Côte d'Ivoire's primary schools** as identified by **Enveritas' satellite detection algorithm** in July 2019. Enveritas updates this dataset with on-the-ground observations, which consist of field agents going to the identified locations and confirming the presence of primary schools. The last update dates back from April 2021.
For more information on the methodology, do not hesitate to [contact us](https://enveritas.org/).

Each row in this dataset represents geolocated point observations. Data was last updated on HDX on 2024-04-17. Geographic scope: **CIV**.

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

---

## Dataset Characteristics

| | |
|---|---|
| **Domain** | Education |
| **Unit of observation** | Geolocated point observations |
| **Rows (total)** | 17,384 |
| **Columns** | 6 (2 numeric, 3 categorical, 0 datetime) |
| **Train split** | 13,907 rows |
| **Test split** | 3,476 rows |
| **Geographic scope** | CIV |
| **Publisher** | Enveritas (inactive) |
| **HDX last updated** | 2024-04-17 |

---

## Variables

**Geographic** — `latitude` (range 4.3642–10.6992), `longitude` (range -8.5455–-2.5323).

**Identifier / Metadata** — `school_name` (EPP KOUAMEKRO, EPP KOFFIKRO, EPP BROUKRO), `esa_source` (HDX), `esa_processed` (2026-04-07).

**Other** — `ground_truthed`.

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-cote-d-ivoire-primary-schools")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

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

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `latitude` | float64 | 0.0% | 4.3642 – 10.6992 (mean 6.831) |
| `longitude` | float64 | 0.0% | -8.5455 – -2.5323 (mean -5.4748) |
| `school_name` | object | 0.6% | EPP KOUAMEKRO, EPP KOFFIKRO, EPP BROUKRO |
| `ground_truthed` | bool | 0.0% | |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-07 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `latitude` | 4.3642 | 10.6992 | 6.831 | 6.725 |
| `longitude` | -8.5455 | -2.5323 | -5.4748 | -5.4776 |

---

## 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`. 735 exact duplicate rows were removed. 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 Enveritas (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/cote-d-ivoire-primary-schools) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_cote_d_ivoire_primary_schools,
title = {Côte d'Ivoire - Primary Schools},
author = {Enveritas (inactive)},
year = {2024},
url = {https://data.humdata.org/dataset/cote-d-ivoire-primary-schools},
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.*