electricsheepafrica/africa-unesco-data-for-burundi
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---
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:
- tabular-classification
- tabular-regression
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- demographics
- education
- indicators
- socioeconomics
- sustainable-development
- sustainable-development-goals-sdg
- bdi
pretty_name: "Burundi - Education Indicators"
dataset_info:
splits:
- name: train
num_examples: 4652
- name: test
num_examples: 1163
---
# Burundi - Education Indicators
**Publisher:** UNESCO · **Source:** [HDX](https://data.humdata.org/dataset/unesco-data-for-burundi) · **License:** `cc-by-igo` · **Updated:** 2026-03-02
---
## Abstract
Education indicators for Burundi.
Contains data from the UNESCO Institute for Statistics [bulk data service](http://data.uis.unesco.org) covering the following categories: SDG 4 Global and Thematic (made 2026 February), Other Policy Relevant Indicators (made 2026 February), Demographic and Socio-economic (made 2026 February)
Each row in this dataset represents country-level aggregates. Data was last updated on HDX on 2026-03-02. Geographic scope: **BDI**.
*Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).*
---
## Dataset Characteristics
| | |
|---|---|
| **Domain** | Education |
| **Unit of observation** | Country-level aggregates |
| **Rows (total)** | 5,816 |
| **Columns** | 6 (2 numeric, 4 categorical, 0 datetime) |
| **Train split** | 4,652 rows |
| **Test split** | 1,163 rows |
| **Geographic scope** | BDI |
| **Publisher** | UNESCO |
| **HDX last updated** | 2026-03-02 |
---
## Variables
**Geographic** — `country_id` (BDI), `year` (range 1971.0–2025.0).
**Outcome / Measurement** — `value` (range 0.0–4593813.0).
**Identifier / Metadata** — `indicator_id` (CR.MOD.2.F, CR.MOD.2.M, CR.MOD.1.F), `esa_source` (HDX), `esa_processed` (2026-04-04).
---
## Quick Start
```python
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-unesco-data-for-burundi")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()
print(train.shape)
train.head()
```
---
## Schema
| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `indicator_id` | object | 0.0% | CR.MOD.2.F, CR.MOD.2.M, CR.MOD.1.F |
| `country_id` | object | 0.0% | BDI |
| `year` | int64 | 0.0% | 1971.0 – 2025.0 (mean 2009.1482) |
| `value` | float64 | 0.0% | 0.0 – 4593813.0 (mean 6236.5591) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-04 |
---
## Numeric Summary
| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `year` | 1971.0 | 2025.0 | 2009.1482 | 2012.0 |
| `value` | 0.0 | 4593813.0 | 6236.5591 | 8.8083 |
---
## 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`. 2 column(s) with >80% missing values were removed: `magnitude`, `qualifier`. 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 UNESCO 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/unesco-data-for-burundi) for the publisher's own methodology notes and caveats.
---
## Citation
```bibtex
@dataset{hdx_africa_unesco_data_for_burundi,
title = {Burundi - Education Indicators},
author = {UNESCO},
year = {2026},
url = {https://data.humdata.org/dataset/unesco-data-for-burundi},
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.*
annotations_creators:
- 无注释
language_creators:
- 公开采集
language:
- 英语（en）
license: CC BY 4.0
multilinguality:
- 单语言
size_categories:
- 1000 < 样本量 < 10000
source_datasets:
- 原生自建
task_categories:
- 表格分类
- 表格回归
task_ids: []
tags:
- 非洲
- 人道主义
- HDX（人道主义数据交换，Humanitarian Data Exchange）
- 非洲电羊（Electric Sheep Africa）
- 人口统计
- 教育
- 指标
- 社会经济学
- 可持续发展
- 可持续发展目标（SDGs，Sustainable Development Goals）
- BDI（布隆迪ISO 3166-1阿尔法3代码）
pretty_name: "布隆迪——教育指标"
dataset_info:
拆分:
- 名称: train（训练集）
样本数: 4652
- 名称: test（测试集）
样本数: 1163
# 布隆迪——教育指标
**发布方**：联合国教科文组织（UNESCO，United Nations Educational, Scientific and Cultural Organization） · **数据源**：[HDX（人道主义数据交换）](https://data.humdata.org/dataset/unesco-data-for-burundi) · **许可证**：`CC-BY-IGO` · **更新时间**：2026-03-02
---
## 摘要
本数据集收录布隆迪的教育相关指标数据。数据源自联合国教科文组织统计研究所（UNESCO Institute for Statistics）的[批量数据服务](http://data.uis.unesco.org)，覆盖以下类别：2026年2月更新的SDG 4全球与主题指标、2026年2月更新的其他政策相关指标、2026年2月更新的人口与社会经济指标。
本数据集的每一行均代表国家级聚合数据。最后一次在HDX平台更新的时间为2026-03-02。地理覆盖范围：**BDI（布隆迪）**。
*本数据集已由非洲电羊（Electric Sheep Africa）整理为适用于机器学习的Parquet格式。*
---
## 数据集特征
| | |
|---|---|
| **领域** | 教育 |
| **观测单元** | 国家级聚合数据 |
| **总样本行数** | 5816 |
| **列数** | 6（2个数值型，4个分类型，0个日期时间型） |
| **训练集样本数** | 4652 |
| **测试集样本数** | 1163 |
| **地理覆盖范围** | BDI（布隆迪） |
| **发布方** | 联合国教科文组织（UNESCO） |
| **HDX平台最后更新时间** | 2026-03-02 |
---
## 变量说明
### 地理类变量
`country_id`（国家代码，取值为BDI）、`year`（年份，取值范围1971.0–2025.0）。
### 结果/测量类变量
`value`（指标数值，取值范围0.0–4593813.0）。
### 标识符/元数据类变量
`indicator_id`（CR.MOD.2.F、CR.MOD.2.M、CR.MOD.1.F）、`esa_source`（数据来源，取值为HDX）、`esa_processed`（数据处理时间，取值为2026-04-04）。
---
## 快速上手示例
python
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-unesco-data-for-burundi")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()
print(train.shape)
train.head()
---
## 数据结构
| 列名 | 数据类型 | 空值占比 | 取值范围/示例值 |
|---|---|---|---|
| `indicator_id` | 字符串型 | 0.0% | CR.MOD.2.F、CR.MOD.2.M、CR.MOD.1.F |
| `country_id` | 字符串型 | 0.0% | BDI |
| `year` | 64位整型 | 0.0% | 1971.0 – 2025.0（均值2009.1482） |
| `value` | 64位浮点型 | 0.0% | 0.0 – 4593813.0（均值6236.5591） |
| `esa_source` | 字符串型 | 0.0% | HDX |
| `esa_processed` | 字符串型 | 0.0% | 2026-04-04 |
---
## 数值型变量统计摘要
| 列名 | 最小值 | 最大值 | 均值 | 中位数 |
|---|---|---|---|---|
| `year` | 1971.0 | 2025.0 | 2009.1482 | 2012.0 |
| `value` | 0.0 | 4593813.0 | 6236.5591 | 8.8083 |
---
## 数据整理流程
原始数据通过CKAN API从HDX平台下载，并转换为Parquet格式。列名统一转换为小写蛇形命名法。常见缺失值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）被统一替换为`NaN`。删除了2个缺失值占比超过80%的列：`magnitude`（量级）和`qualifier`（限定符）。本数据集以固定随机种子（42）按80/20比例划分为训练集与测试集，并保存为Snappy压缩的Parquet格式文件。
---
## 数据集局限性
- 本数据源自联合国教科文组织，未经过非洲电羊（Electric Sheep Africa）的独立验证。
- 自动化清洗流程无法修正原始数据采集阶段的错报值、定义不一致或抽样偏差问题。
- 如需了解发布方的方法说明与注意事项，请参阅[原始HDX数据集页面](https://data.humdata.org/dataset/unesco-data-for-burundi)。
---
## 引用格式
bibtex
@dataset{hdx_africa_unesco_data_for_burundi,
title = {Burundi - Education Indicators},
author = {UNESCO},
year = {2026},
url = {https://data.humdata.org/dataset/unesco-data-for-burundi},
note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}
---
*非洲电羊（Electric Sheep Africa）—— 非洲机器学习数据集基础设施提供商，尼日利亚拉各斯。*
提供机构：
electricsheepafrica
