electricsheepafrica/africa-somalia-who-is-doing-what-and-where-3w-2016

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- other
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- education
- operational-presence
- who-is-doing-what-and-where-3w-4w-5w
- som
pretty_name: "Somalia - Who is doing what and where (3W) -2016"
dataset_info:
splits:
- name: train
num_examples: 2649
- name: test
num_examples: 662
---

# Somalia - Who is doing what and where (3W) -2016

**Publisher:** OCHA Somalia · **Source:** [HDX](https://data.humdata.org/dataset/somalia-who-is-doing-what-and-where-3w-2016) · **License:** `cc-by` · **Updated:** 2024-09-13

---

## Abstract

Who is doing what and where in Somalia, 2016

Each row in this dataset represents subnational administrative unit observations. Data was last updated on HDX on 2024-09-13. Geographic scope: **SOM**.

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

---

## Dataset Characteristics

| | |
|---|---|
| **Domain** | Education |
| **Unit of observation** | Subnational administrative unit observations |
| **Rows (total)** | 3,312 |
| **Columns** | 11 (0 numeric, 11 categorical, 0 datetime) |
| **Train split** | 2,649 rows |
| **Test split** | 662 rows |
| **Geographic scope** | SOM |
| **Publisher** | OCHA Somalia |
| **HDX last updated** | 2024-09-13 |

---

## Variables

**Geographic** — `activity_description` (open, Open, Current Enrolment in the Learning Centre), `region` (Banadir, Gedo, Lower Juba), `district` (Mogadishu, Baidoa, Gaalkacyo), `specific_location` (Gaalkacyo, Baidoa, Garowe).

**Identifier / Metadata** — `esa_source` (HDX), `esa_processed`.

**Other** — `sector_cluster` (WASH, Education, Protection), `organisation` (ADRA, UNICEF, WFP), `implementing_partner` (ADRA, NRC, CISP), `sub_sector` (Primary Education, Gender-Based Violence, Water), `status` (Ongoing, Completed, Functional).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-somalia-who-is-doing-what-and-where-3w-2016")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

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

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `sector_cluster` | object | 0.0% | WASH, Education, Protection |
| `organisation` | object | 2.1% | ADRA, UNICEF, WFP |
| `implementing_partner` | object | 0.1% | ADRA, NRC, CISP |
| `sub_sector` | object | 0.0% | Primary Education, Gender-Based Violence, Water |
| `activity_description` | object | 0.6% | open, Open, Current Enrolment in the Learning Centre |
| `region` | object | 0.0% | Banadir, Gedo, Lower Juba |
| `district` | object | 0.0% | Mogadishu, Baidoa, Gaalkacyo |
| `specific_location` | object | 7.6% | Gaalkacyo, Baidoa, Garowe |
| `status` | object | 32.5% | Ongoing, Completed, Functional |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
_No numeric columns._

---

## 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`. 3,796 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 OCHA Somalia 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: `status`.
- Refer to the [original HDX dataset page](https://data.humdata.org/dataset/somalia-who-is-doing-what-and-where-3w-2016) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_somalia_who_is_doing_what_and_where_3w_2016,
title = {Somalia - Who is doing what and where (3W) -2016},
author = {OCHA Somalia},
year = {2024},
url = {https://data.humdata.org/dataset/somalia-who-is-doing-what-and-where-3w-2016},
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.*