electricsheepafrica/africa-health-facilities-burkina-faso

--- annotations_creators: - no-annotation language_creators: - found language: - en license: other multilinguality: - monolingual size_categories: - 1K<n<10K source_datasets: - original task_categories: - tabular-classification task_ids: [] tags: - africa - humanitarian - hdx - electric-sheep-africa - health-facilities - hxl - bfa pretty_name: "Burkina Faso Healthsites" dataset_info: splits: - name: train num_examples: 966 - name: test num_examples: 241 --- # Burkina Faso Healthsites **Publisher:** Global Healthsites Mapping Project · **Source:** [HDX](https://data.humdata.org/dataset/burkina-faso-healthsites) · **License:** `ODbL` · **Updated:** 2025-10-15 --- ## Abstract This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long Each row in this dataset represents tabular records. Data was last updated on HDX on 2025-10-15. Geographic scope: **BFA**. *Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).* --- ## Dataset Characteristics | | | |---|---| | **Domain** | Public health | | **Unit of observation** | Tabular records | | **Rows (total)** | 1,208 | | **Columns** | 15 (6 numeric, 8 categorical, 0 datetime) | | **Train split** | 966 rows | | **Test split** | 241 rows | | **Geographic scope** | BFA | | **Publisher** | Global Healthsites Mapping Project | | **HDX last updated** | 2025-10-15 | --- ## Variables **Geographic** — `x` (range -5.3114–2.016), `y` (range 9.9042–14.7395), `osm_type` (node, way), `loc_amenity` (hospital, doctors, pharmacy). **Temporal** — `changeset_timestamp`. **Identifier / Metadata** — `osm_id` (range 27570857.0–13230254219.0), `loc_name` (CSPS, Dispensaire, Centre Médical), `changeset_id` (range 310248.0–173222949.0), `meta_id` (dc6176c624ac42749c94988b065f5574, 70f4e38fb2844e27a5ee41a4b20efe28, 9e2caa6a5a7e4bcf9ef80ab50f95f16b), `esa_source` (HDX) and 1 others. **Other** — `completeness` (range 6.25–34.375), `meta_healthcare` (hospital, pharmacy, doctor), `meta_operator` (Public, Ministère de la Santé du Burkina Faso, MS), `changeset_version` (range 1.0–13.0). --- ## Quick Start ```python from datasets import load_dataset ds = load_dataset("electricsheepafrica/africa-health-facilities-burkina-faso") train = ds["train"].to_pandas() test = ds["test"].to_pandas() print(train.shape) train.head() ``` --- ## Schema | Column | Type | Null % | Range / Sample Values | |---|---|---|---| | `x` | float64 | 25.9% | -5.3114 – 2.016 (mean -1.9488) | | `y` | float64 | 25.9% | 9.9042 – 14.7395 (mean 12.4306) | | `osm_id` | int64 | 0.0% | 27570857.0 – 13230254219.0 (mean 5376431054.5869) | | `osm_type` | object | 0.0% | node, way | | `completeness` | float64 | 0.0% | 6.25 – 34.375 (mean 12.3163) | | `loc_amenity` | object | 0.5% | hospital, doctors, pharmacy | | `meta_healthcare` | object | 75.2% | hospital, pharmacy, doctor | | `loc_name` | object | 10.4% | CSPS, Dispensaire, Centre Médical | | `meta_operator` | object | 60.4% | Public, Ministère de la Santé du Burkina Faso, MS | | `changeset_id` | int64 | 0.0% | 310248.0 – 173222949.0 (mean 97979094.5099) | | `changeset_version` | int64 | 0.0% | 1.0 – 13.0 (mean 1.7243) | | `changeset_timestamp` | datetime64[ns, UTC] | 0.0% | | | `meta_id` | object | 0.0% | dc6176c624ac42749c94988b065f5574, 70f4e38fb2844e27a5ee41a4b20efe28, 9e2caa6a5a7e4bcf9ef80ab50f95f16b | | `esa_source` | object | 0.0% | HDX | | `esa_processed` | object | 0.0% | 2026-04-21 | --- ## Numeric Summary | Column | Min | Max | Mean | Median | |---|---|---|---|---| | `x` | -5.3114 | 2.016 | -1.9488 | -1.8376 | | `y` | 9.9042 | 14.7395 | 12.4306 | 12.3703 | | `osm_id` | 27570857.0 | 13230254219.0 | 5376431054.5869 | 4340343677.0 | | `completeness` | 6.25 | 34.375 | 12.3163 | 12.5 | | `changeset_id` | 310248.0 | 173222949.0 | 97979094.5099 | 99665215.0 | | `changeset_version` | 1.0 | 13.0 | 1.7243 | 1.0 | --- ## 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`. 22 column(s) with >80% missing values were removed: `geo_bounds_url`, `meta_speciality`, `meta_operator_type`, `contact_phone`, `status_operational_status`, `access_hours`.... 1 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). 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 Global Healthsites Mapping Project 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: `x`, `y`, `meta_healthcare`, `meta_operator`. - Refer to the [original HDX dataset page](https://data.humdata.org/dataset/burkina-faso-healthsites) for the publisher's own methodology notes and caveats. --- ## Citation ```bibtex @dataset{hdx_africa_health_facilities_burkina_faso, title = {Burkina Faso Healthsites}, author = {Global Healthsites Mapping Project}, year = {2025}, url = {https://data.humdata.org/dataset/burkina-faso-healthsites}, 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: - 采集所得 language: - 英语 license: - 其他 multilinguality: - 单语言 size_categories: - 1000条<样本数<10000条 source_datasets: - 原创 task_categories: - 表格分类 task_ids: [] tags: - 非洲 - 人道主义 - HDX - Electric Sheep Africa - 医疗设施 - HXL - BFA pretty_name: "布基纳法索医疗站点" dataset_info: splits: - name: train num_examples: 966 - name: test num_examples: 241 # 布基纳法索医疗站点 **发布方**：全球医疗站点测绘项目 · **来源**：[人道主义数据交换平台（HDX）](https://data.humdata.org/dataset/burkina-faso-healthsites) · **许可证**：`ODbL` · **更新时间**：2025-10-15 --- ## 摘要 本数据集收录了所有运营中的医疗设施清单，包含以下属性：设施名称、设施类型、服务内容、纬度、经度。数据集中每一行均为一条表格记录。本数据集最近一次在HDX平台更新的时间为2025年10月15日，地理覆盖范围为**BFA（布基纳法索）**。本数据集已由[Electric Sheep Africa](https://huggingface.co/electricsheepafrica)整理为适配机器学习的帕尔克格式（Parquet）。 --- ## 数据集特征 | 类别 | 详情 | |---|---| | **领域** | 公共卫生 | | **观测单元** | 表格记录 | | **总记录数** | 1208条 | | **字段数** | 15个（6个数值型、8个分类型、0个时间型） | | **训练集划分** | 966条记录 | | **测试集划分** | 241条记录 | | **地理覆盖范围** | BFA（布基纳法索） | | **发布方** | 全球医疗站点测绘项目 | | **HDX平台最后更新时间** | 2025年10月15日 | --- ## 字段分类 ### 地理类字段 `x`（取值范围：-5.3114~2.016）、`y`（取值范围：9.9042~14.7395）、`osm_type`（可选值：node、way）、`loc_amenity`（可选值：医院、诊所、药房）。 ### 时间类字段 `changeset_timestamp`（变更集时间戳）。 ### 标识符/元数据类字段 `osm_id`（取值范围：27570857.0~13230254219.0）、`loc_name`（可选值：CSPS、Dispensaire、Centre Médical）、`changeset_id`（取值范围：310248.0~173222949.0）、`meta_id`（示例值：dc6176c624ac42749c94988b065f5574、70f4e38fb2844e27a5ee41a4b20efe28、9e2caa6a5a7e4bcf9ef80ab50f95f16b）、`esa_source`（取值为HDX，另有1个其他字段）。 ### 其他字段 `completeness`（取值范围：6.25~34.375）、`meta_healthcare`（可选值：医院、药房、诊所）、`meta_operator`（可选值：公立、布基纳法索卫生部、MS）、`changeset_version`（取值范围：1.0~13.0）。 --- ## 快速上手 python from datasets import load_dataset ds = load_dataset("electricsheepafrica/africa-health-facilities-burkina-faso") train = ds["train"].to_pandas() test = ds["test"].to_pandas() print(train.shape) train.head() --- ## 字段结构 | 字段名 | 数据类型 | 缺失率 | 取值范围/示例值 | |---|---|---|---| | `x` | float64 | 25.9% | -5.3114 ~ 2.016（平均值：-1.9488） | | `y` | float64 | 25.9% | 9.9042 ~ 14.7395（平均值：12.4306） | | `osm_id` | int64 | 0.0% | 27570857.0 ~ 13230254219.0（平均值：5376431054.5869） | | `osm_type` | object | 0.0% | node、way | | `completeness` | float64 | 0.0% | 6.25 ~ 34.375（平均值：12.3163） | | `loc_amenity` | object | 0.5% | 医院、诊所、药房 | | `meta_healthcare` | object | 75.2% | 医院、药房、诊所 | | `loc_name` | object | 10.4% | CSPS、Dispensaire、Centre Médical | | `meta_operator` | object | 60.4% | 公立、布基纳法索卫生部、MS | | `changeset_id` | int64 | 0.0% | 310248.0 ~ 173222949.0（平均值：97979094.5099） | | `changeset_version` | int64 | 0.0% | 1.0 ~ 13.0（平均值：1.7243） | | `changeset_timestamp` | datetime64[ns, UTC] | 0.0% | | | `meta_id` | object | 0.0% | dc6176c624ac42749c94988b065f5574、70f4e38fb2844e27a5ee41a4b20efe28、9e2caa6a5a7e4bcf9ef80ab50f95f16b | | `esa_source` | object | 0.0% | HDX | | `esa_processed` | object | 0.0% | 2026-04-21 | --- ## 数值型字段统计 | 字段名 | 最小值 | 最大值 | 平均值 | 中位数 | |---|---|---|---|---| | `x` | -5.3114 | 2.016 | -1.9488 | -1.8376 | | `y` | 9.9042 | 14.7395 | 12.4306 | 12.3703 | | `osm_id` | 27570857.0 | 13230254219.0 | 5376431054.5869 | 4340343677.0 | | `completeness` | 6.25 | 34.375 | 12.3163 | 12.5 | | `changeset_id` | 310248.0 | 173222949.0 | 97979094.5099 | 99665215.0 | | `changeset_version` | 1.0 | 13.0 | 1.7243 | 1.0 | --- ## 数据整理流程 原始数据通过CKAN API从HDX平台下载，并转换为帕尔克格式（Parquet）。我们将所有字段名转换为小写并统一采用蛇形命名法（snake_case）。将常见的缺失值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）统一替换为`NaN`。删除了22个缺失率超过80%的字段：`geo_bounds_url`、`meta_speciality`、`meta_operator_type`、`contact_phone`、`status_operational_status`、`access_hours`等。根据解析成功率阈值（>85%），将1个字段从字符串类型转换为数值型或时间型。本数据集使用固定随机种子（42）按照80/20的比例划分为训练集和测试集，并以斯纳皮压缩格式（Snappy）保存为Parquet文件。 --- ## 数据集局限性 - 本数据集源自全球医疗站点测绘项目，未由Electric Sheep Africa进行独立验证。 - 自动化清洗流程无法修正原始数据集中的错报值、定义不一致或采样偏差问题。 - 以下字段的缺失率超过20%，在建模过程中需谨慎使用：`x`、`y`、`meta_healthcare`、`meta_operator`。 - 如需了解发布方的方法论说明与免责声明，请参阅[原始HDX数据集页面](https://data.humdata.org/dataset/burkina-faso-healthsites)。 --- ## 引用格式 bibtex @dataset{hdx_africa_health_facilities_burkina_faso, title = {布基纳法索医疗站点}, author = {全球医疗站点测绘项目}, year = {2025}, url = {https://data.humdata.org/dataset/burkina-faso-healthsites}, note = {由Electric Sheep Africa重新打包以适配机器学习场景 (https://huggingface.co/electricsheepafrica)} } --- *[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — 非洲机器学习数据集基础设施。尼日利亚拉各斯。*