File size: 5,224 Bytes
8d32568 fab7a37 8d32568 fab7a37 8d32568 fab7a37 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 | ---
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
- disease
- epidemics-outbreaks
- fatalities
- health
- hxl
- west-africa
- gin
pretty_name: "Guinea: Ebola (2021) Cumulative cases (national)"
dataset_info:
splits:
- name: train
num_examples: 20
- name: test
num_examples: 5
---
# Guinea: Ebola (2021) Cumulative cases (national)
**Publisher:** HERA - Humanitarian Emergency Response Africa · **Source:** [HDX](https://data.humdata.org/dataset/guinea-ebola-2021-cumulative-cases-national) · **License:** `cc-by` · **Updated:** 2025-04-10
---
## Abstract
National dataset of Ebola in Guinea (2021) - infections, recoveries, deaths, hospitalized, active cases, contact cases and gender data (if available). This dataset is a Pivot Table of the subnational data available on our HDX page.
Recently, the government of Guinea (ANSS) has changed the way they were communicating about Ebola. Gender cases, vaccination data, hospitalized cases are not available anymore. The architecture of this dataset might change over time, to remove gender cases which won't be given by the government.
Update frequency : when new data is available.
Each row in this dataset represents country-level aggregates. Data was last updated on HDX on 2025-04-10. Geographic scope: **GIN**.
*Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).*
---
## Dataset Characteristics
| | |
|---|---|
| **Domain** | Public health |
| **Unit of observation** | Country-level aggregates |
| **Rows (total)** | 26 |
| **Columns** | 3 (0 numeric, 3 categorical, 0 datetime) |
| **Train split** | 20 rows |
| **Test split** | 5 rows |
| **Geographic scope** | GIN |
| **Publisher** | HERA - Humanitarian Emergency Response Africa |
| **HDX last updated** | 2025-04-10 |
---
## Variables
**Geographic** — `date_iso_3_country_ebola_confirmed_case_ebola_suspected_case_women_men_gender_not_specified_contact_cases_hospitalized_ebola_deaths_probable_ebola_deaths_deaths_women_deaths_men_deaths_gender_not_specified_recoveries_recoveries_women_recoveries_men_recoveries_gender_not_specified_vaccinated` (2021-01-28;GUI;Guinea;1;0;1;0;0;0;0;1;0;1;0;0;0;0;0;0;0;;;;;;, 2021-02-13;GUI;Guinea;0;7;4;3;0;0;5;0;2;1;1;0;0;0;0;0;0;;;;;;, CUMULATIVE;GUI;Guinea;14;7;5;3;24;365;6;4;4;2;1;8;6;0;1;5;3352;;;;;;).
**Identifier / Metadata** — `esa_source` (HDX), `esa_processed` (2026-04-04).
---
## Quick Start
```python
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-guinea-ebola-2021-cumulative-cases-national")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()
print(train.shape)
train.head()
```
---
## Schema
| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `date_iso_3_country_ebola_confirmed_case_ebola_suspected_case_women_men_gender_not_specified_contact_cases_hospitalized_ebola_deaths_probable_ebola_deaths_deaths_women_deaths_men_deaths_gender_not_specified_recoveries_recoveries_women_recoveries_men_recoveries_gender_not_specified_vaccinated` | object | 0.0% | 2021-01-28;GUI;Guinea;1;0;1;0;0;0;0;1;0;1;0;0;0;0;0;0;0;;;;;;, 2021-02-13;GUI;Guinea;0;7;4;3;0;0;5;0;2;1;1;0;0;0;0;0;0;;;;;;, CUMULATIVE;GUI;Guinea;14;7;5;3;24;365;6;4;4;2;1;8;6;0;1;5;3352;;;;;; |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-04 |
---
## 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 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 HERA - Humanitarian Emergency Response 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://data.humdata.org/dataset/guinea-ebola-2021-cumulative-cases-national) for the publisher's own methodology notes and caveats.
---
## Citation
```bibtex
@dataset{hdx_africa_guinea_ebola_2021_cumulative_cases_national,
title = {Guinea: Ebola (2021) Cumulative cases (national)},
author = {HERA - Humanitarian Emergency Response Africa},
year = {2025},
url = {https://data.humdata.org/dataset/guinea-ebola-2021-cumulative-cases-national},
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.* |