electricsheepafrica/africa-world-bank-education-indicators-for-burkina-faso

--- annotations_creators: - no-annotation language_creators: - found language: - en license: cc-by-4.0 multilinguality: - monolingual size_categories: - 10K<n<100K source_datasets: - original task_categories: - tabular-classification - tabular-regression task_ids: [] tags: - africa - humanitarian - hdx - electric-sheep-africa - education - indicators - bfa pretty_name: "Burkina Faso - Education" dataset_info: splits: - name: train num_examples: 12268 - name: test num_examples: 3067 --- # Burkina Faso - Education **Publisher:** World Bank Group · **Source:** [HDX](https://data.humdata.org/dataset/world-bank-education-indicators-for-burkina-faso) · **License:** `cc-by` · **Updated:** 2026-03-27 --- ## Abstract Contains data from the World Bank's [data portal](http://data.worldbank.org/). There is also a [consolidated country dataset](https://data.humdata.org/dataset/world-bank-combined-indicators-for-burkina-faso) on HDX. Education is one of the most powerful instruments for reducing poverty and inequality and lays a foundation for sustained economic growth. The World Bank compiles data on education inputs, participation, efficiency, and outcomes. Data on education are compiled by the United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics from official responses to surveys and from reports provided by education authorities in each country. Each row in this dataset represents country-level aggregates. Data was last updated on HDX on 2026-03-27. Geographic scope: **BFA**. *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)** | 15,335 | | **Columns** | 8 (2 numeric, 6 categorical, 0 datetime) | | **Train split** | 12,268 rows | | **Test split** | 3,067 rows | | **Geographic scope** | BFA | | **Publisher** | World Bank Group | | **HDX last updated** | 2026-03-27 | --- ## Variables **Geographic** — `country_name` (Burkina Faso), `country_iso3` (BFA), `year` (range 1960.0–2025.0). **Outcome / Measurement** — `value` (range 0.0–9914873.0). **Identifier / Metadata** — `indicator_name` (Population ages 15-64 (% of total population), Population ages 0-14 (% of total population), Number of under-five deaths, male), `indicator_code` (SP.POP.1564.TO.ZS, SP.POP.0014.TO.ZS, SH.DTH.MORT.MA), `esa_source` (HDX), `esa_processed` (2026-04-15). --- ## Quick Start ```python from datasets import load_dataset ds = load_dataset("electricsheepafrica/africa-world-bank-education-indicators-for-burkina-faso") train = ds["train"].to_pandas() test = ds["test"].to_pandas() print(train.shape) train.head() ``` --- ## Schema | Column | Type | Null % | Range / Sample Values | |---|---|---|---| | `country_name` | object | 0.0% | Burkina Faso | | `country_iso3` | object | 0.0% | BFA | | `year` | int64 | 0.0% | 1960.0 – 2025.0 (mean 1999.9698) | | `indicator_name` | object | 0.0% | Population ages 15-64 (% of total population), Population ages 0-14 (% of total population), Number of under-five deaths, male | | `indicator_code` | object | 0.0% | SP.POP.1564.TO.ZS, SP.POP.0014.TO.ZS, SH.DTH.MORT.MA | | `value` | float64 | 0.0% | 0.0 – 9914873.0 (mean 352688.7625) | | `esa_source` | object | 0.0% | HDX | | `esa_processed` | object | 0.0% | 2026-04-15 | --- ## Numeric Summary | Column | Min | Max | Mean | Median | |---|---|---|---|---| | `year` | 1960.0 | 2025.0 | 1999.9698 | 2002.0 | | `value` | 0.0 | 9914873.0 | 352688.7625 | 4775.0 | --- ## 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`. 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 World Bank Group 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/world-bank-education-indicators-for-burkina-faso) for the publisher's own methodology notes and caveats. --- ## Citation ```bibtex @dataset{hdx_africa_world_bank_education_indicators_for_burkina_faso, title = {Burkina Faso - Education}, author = {World Bank Group}, year = {2026}, url = {https://data.humdata.org/dataset/world-bank-education-indicators-for-burkina-faso}, 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.*yaml annotations_creators: - 无人工注释 language_creators: - 公开抓取 language: - 英语 license: CC-BY 4.0 multilinguality: - 单语言 size_categories: - 1万至10万条数据 source_datasets: - 原创数据集 task_categories: - 表格分类 - 表格回归 task_ids: [] tags: - 非洲 - 人道主义 - HDX - Electric Sheep Africa - 教育 - 指标 - BFA pretty_name: "布基纳法索 - 教育指标" dataset_info: splits: - name: train num_examples: 12268 - name: test num_examples: 3067 --- # 布基纳法索 - 教育指标 **发布方**：世界银行集团 · **数据来源**：[HDX（人道主义数据交换平台，Humanitarian Data Exchange）](https://data.humdata.org/dataset/world-bank-education-indicators-for-burkina-faso) · **许可证**：`CC-BY 4.0` · **最后更新时间**：2026-03-27 --- ## 摘要 本数据集包含世界银行[官方数据门户](http://data.worldbank.org/)的公开数据，同时HDX平台上还提供了一份整合后的布基纳法索国家综合数据集[consolidated country dataset](https://data.humdata.org/dataset/world-bank-combined-indicators-for-burkina-faso)。 教育是减少贫困与不平等最为有效的手段之一，同时为可持续经济增长奠定坚实基础。世界银行会收集教育投入、教育参与度、教育效率与教育成果相关的数据。教育相关数据由联合国教育、科学及文化组织（UNESCO）统计研究所通过官方调研反馈与各国教育主管部门提交的报告进行汇总整理。 本数据集的每一行均代表国家级汇总数据。数据集最后于2026-03-27在HDX平台更新，地理覆盖范围为**BFA（布基纳法索国家代码）**。 *本数据集已由[Electric Sheep Africa（电羊非洲）](https://huggingface.co/electricsheepafrica)整理为适配机器学习的Parquet（列式存储格式）格式。* --- ## 数据集特征 | | | |---|---| | **领域** | 教育 | | **观测单元** | 国家级汇总数据 | | **总数据行数** | 15335 | | **列数** | 8列（2列数值型、6列分类型、0列日期时间型） | | **训练集划分** | 12268行 | | **测试集划分** | 3067行 | | **地理覆盖范围** | BFA（布基纳法索） | | **发布方** | 世界银行集团 | | **HDX平台最后更新时间** | 2026-03-27 | --- ## 变量说明 **地理类变量** — `country_name`（国家名称：布基纳法索）、`country_iso3`（国家ISO3代码：BFA）、`year`（年份：范围为1960.0至2025.0）。 **结果/测量类变量** — `value`（指标数值：范围为0.0至9914873.0）。 **标识符/元数据类变量** — `indicator_name`（指标名称：15-64岁人口占总人口比例、0-14岁人口占总人口比例、男性五岁以下死亡人数）、`indicator_code`（指标代码：SP.POP.1564.TO.ZS、SP.POP.0014.TO.ZS、SH.DTH.MORT.MA）、`esa_source`（数据来源：HDX）、`esa_processed`（数据处理时间：2026-04-15）。 --- ## 快速上手 python from datasets import load_dataset ds = load_dataset("electricsheepafrica/africa-world-bank-education-indicators-for-burkina-faso") train = ds["train"].to_pandas() test = ds["test"].to_pandas() print(train.shape) train.head() --- ## 数据Schema | 列名 | 数据类型 | 空值占比 | 取值范围/示例值 | |---|---|---|---| | `country_name` | 字符型 | 0.0% | 布基纳法索 | | `country_iso3` | 字符型 | 0.0% | BFA | | `year` | 整数型 | 0.0% | 1960.0 – 2025.0（均值为1999.9698） | | `indicator_name` | 字符型 | 0.0% | 15-64岁人口占总人口比例、0-14岁人口占总人口比例、男性五岁以下死亡人数 | | `indicator_code` | 字符型 | 0.0% | SP.POP.1564.TO.ZS、SP.POP.0014.TO.ZS、SH.DTH.MORT.MA | | `value` | 浮点型 | 0.0% | 0.0 – 9914873.0（均值为352688.7625） | | `esa_source` | 字符型 | 0.0% | HDX | | `esa_processed` | 字符型 | 0.0% | 2026-04-15 | --- ## 数值型变量统计摘要 | 列名 | 最小值 | 最大值 | 均值 | 中位数 | |---|---|---|---|---| | `year` | 1960.0 | 2025.0 | 1999.9698 | 2002.0 | | `value` | 0.0 | 9914873.0 | 352688.7625 | 4775.0 | --- ## 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并标准化为蛇形命名法。常见的缺失值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）均被统一替换为`NaN`。本数据集以80:20的比例划分为训练集与测试集，划分时使用固定随机种子（42），最终以Snappy（快速压缩算法）压缩的Parquet格式存储。 --- ## 数据集局限性 - 数据源自世界银行集团，未经过Electric Sheep Africa（电羊非洲）的独立验证。 - 自动化数据清洗无法修正原始数据收集中的错报值、定义不一致或抽样偏差问题。 - 请参阅HDX平台上的[原始数据集页面](https://data.humdata.org/dataset/world-bank-education-indicators-for-burkina-faso)，获取发布方提供的方法说明与注意事项。 --- ## 引用格式 bibtex @dataset{hdx_africa_world_bank_education_indicators_for_burkina_faso, title = {"布基纳法索 - 教育指标"}, author = {世界银行集团}, year = {2026}, url = {https://data.humdata.org/dataset/world-bank-education-indicators-for-burkina-faso}, note = {由Electric Sheep Africa（电羊非洲）重新打包以适配机器学习（https://huggingface.co/electricsheepafrica）} } --- *[Electric Sheep Africa（电羊非洲）](https://huggingface.co/electricsheepafrica) — 非洲机器学习数据集基础设施，尼日利亚拉各斯。*