electricsheepafrica/africa-sensorsafrica-airquality-archive-efab-met-abuja

---
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
- sensorsafrica-airquality-archive
pretty_name: "sensors.AFRICA Air Quality Archive EFAB Met, Abuja"
dataset_info:
splits:
- name: train
num_examples: 300
- name: test
num_examples: 75
---

# sensors.AFRICA Air Quality Archive EFAB Met, Abuja

**Publisher:** sensors.AFRICA · **Source:** [OpenAfrica](https://open.africa/dataset/sensorsafrica-airquality-archive-efab-met-abuja) · **License:** `None` · **Updated:** 2026-04-27

---

## Abstract

This dataset contains humanitarian and development data records covering SENSORSAFRICA-AIRQUALITY-ARCHIVE, comprising 375 observations across 3 variables.

Each row in this dataset represents geolocated point observations. Data was last updated on OpenAfrica on 2026-04-27. Geographic scope: **SENSORSAFRICA-AIRQUALITY-ARCHIVE**.

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

---

## Dataset Characteristics

| | |
|---|---|
| **Domain** | Humanitarian and development data |
| **Unit of observation** | Geolocated point observations |
| **Rows (total)** | 375 |
| **Columns** | 3 (0 numeric, 3 categorical, 0 datetime) |
| **Train split** | 300 rows |
| **Test split** | 75 rows |
| **Geographic scope** | SENSORSAFRICA-AIRQUALITY-ARCHIVE |
| **Publisher** | sensors.AFRICA |
| **OpenAfrica last updated** | 2026-04-27 |

---

## Variables

**Geographic** — `sensor_id_sensor_type_location_lat_lon_timestamp_value_type_value` (4976;pms5003;3618;0.123;0.123;1970-01-01T00:04:12+00:00;P2;40, 4976;pms5003;3618;0.123;0.123;1970-01-01T03:08:03+00:00;P0;17, 4976;pms5003;3618;0.123;0.123;1970-01-01T03:17:56+00:00;P1;37).

**Identifier / Metadata** — `esa_source` (HDX), `esa_processed` (2026-04-27).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-sensorsafrica-airquality-archive-efab-met-abuja")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

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

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `sensor_id_sensor_type_location_lat_lon_timestamp_value_type_value` | object | 0.0% | 4976;pms5003;3618;0.123;0.123;1970-01-01T00:04:12+00:00;P2;40, 4976;pms5003;3618;0.123;0.123;1970-01-01T03:08:03+00:00;P0;17, 4976;pms5003;3618;0.123;0.123;1970-01-01T03:17:56+00:00;P1;37 |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-27 |

---

## Numeric Summary

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

---

## Curation

Raw data was downloaded from OpenAfrica 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`. 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 sensors.AFRICA 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://open.africa/dataset/sensorsafrica-airquality-archive-efab-met-abuja) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{openafrica_africa_sensorsafrica_airquality_archive_efab_met_abuja,
title = {sensors.AFRICA Air Quality Archive EFAB Met, Abuja},
author = {sensors.AFRICA},
year = {2026},
url = {https://open.africa/dataset/sensorsafrica-airquality-archive-efab-met-abuja},
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.*