electricsheepafrica/africa-marocco-healthsites

--- 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 - geodata - health - health-facilities - mar pretty_name: "Marocco-healthsites" dataset_info: splits: - name: train num_examples: 310 - name: test num_examples: 77 --- # Marocco-healthsites **Publisher:** Global Healthsites Mapping Project · **Source:** [HDX](https://data.humdata.org/dataset/marocco-healthsites) · **License:** `cc-by-igo` · **Updated:** 2025-04-25 --- ## 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 time-series observations. Data was last updated on HDX on 2025-04-25. Geographic scope: **MAR**. *Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).* --- ## Dataset Characteristics | | | |---|---| | **Domain** | Public health | | **Unit of observation** | Time-series observations | | **Rows (total)** | 388 | | **Columns** | 14 (3 numeric, 11 categorical, 0 datetime) | | **Train split** | 310 rows | | **Test split** | 77 rows | | **Geographic scope** | MAR | | **Publisher** | Global Healthsites Mapping Project | | **HDX last updated** | 2025-04-25 | --- ## Variables **Geographic** — `x` (range -10.1779–-1.0039), `y` (range 27.6749–35.8875), `type` (hospital, clinic). **Temporal** — `date_modified` (2015/12/11 10:51:22.924+00, 2015/11/17 09:43:57.838+00, 2016/02/23 01:20:44+00). **Identifier / Metadata** — `source_url` (http://www.openstreetmap.org/way/248718105, http://www.openstreetmap.org/way/475665966, http://www.openstreetmap.org/way/421536627), `name` (Polyclinique, Hôpital, Polyclinique CNSS), `uuid` (f43812b1905a4a1183180f3e1eca8af3, cafcfc2cc020419199e598c8bd344cb5, 2a4d1ae01a3148de87f72800c47c2853), `source` (OpenStreetMap), `esa_source` (HDX) and 1 others. **Other** — `what3words` (leads.pixies.lamppost, users.eyelash.faster, worth.freshen.reaction), `upstream` (openstreetmap¶w248718105, OpenStreetMap¶w475665966, OpenStreetMap¶w421536627), `completeness` (35.29%, 29.41%, 41.18%), `version` (range 2.0–2.0). --- ## Quick Start ```python from datasets import load_dataset ds = load_dataset("electricsheepafrica/africa-marocco-healthsites") train = ds["train"].to_pandas() test = ds["test"].to_pandas() print(train.shape) train.head() ``` --- ## Schema | Column | Type | Null % | Range / Sample Values | |---|---|---|---| | `x` | float64 | 0.0% | -10.1779 – -1.0039 (mean -5.3959) | | `y` | float64 | 0.0% | 27.6749 – 35.8875 (mean 33.5947) | | `source_url` | object | 0.0% | http://www.openstreetmap.org/way/248718105, http://www.openstreetmap.org/way/475665966, http://www.openstreetmap.org/way/421536627 | | `what3words` | object | 0.0% | leads.pixies.lamppost, users.eyelash.faster, worth.freshen.reaction | | `upstream` | object | 0.0% | openstreetmap¶w248718105, OpenStreetMap¶w475665966, OpenStreetMap¶w421536627 | | `name` | object | 0.0% | Polyclinique, Hôpital, Polyclinique CNSS | | `completeness` | object | 0.0% | 35.29%, 29.41%, 41.18% | | `uuid` | object | 0.0% | f43812b1905a4a1183180f3e1eca8af3, cafcfc2cc020419199e598c8bd344cb5, 2a4d1ae01a3148de87f72800c47c2853 | | `date_modified` | object | 0.0% | 2015/12/11 10:51:22.924+00, 2015/11/17 09:43:57.838+00, 2016/02/23 01:20:44+00 | | `source` | object | 0.0% | OpenStreetMap | | `version` | int64 | 0.0% | 2.0 – 2.0 (mean 2.0) | | `type` | object | 0.0% | hospital, clinic | | `esa_source` | object | 0.0% | HDX | | `esa_processed` | object | 0.0% | | --- ## Numeric Summary | Column | Min | Max | Mean | Median | |---|---|---|---|---| | `x` | -10.1779 | -1.0039 | -5.3959 | -5.9989 | | `y` | 27.6749 | 35.8875 | 33.5947 | 33.9869 | | `version` | 2.0 | 2.0 | 2.0 | 2.0 | --- ## 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`. 4 column(s) with >80% missing values were removed: `physical_address`, `url`, `phone`, `email`. 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. - Refer to the [original HDX dataset page](https://data.humdata.org/dataset/marocco-healthsites) for the publisher's own methodology notes and caveats. --- ## Citation ```bibtex @dataset{hdx_africa_marocco_healthsites, title = {Marocco-healthsites}, author = {Global Healthsites Mapping Project}, year = {2025}, url = {https://data.humdata.org/dataset/marocco-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: - 采集自现有公开资源 language: - 英语 license: 知识共享署名4.0（CC-BY-4.0） multilinguality: - 单语言 size_categories: - 少于1000条记录 source_datasets: - 原创数据集 task_categories: - 表格分类 task_ids: [] tags: - 非洲 - 人道主义 - HDX（人道主义数据交换平台） - Electric Sheep Africa（非洲电羊团队） - 地理数据 - 医疗健康 - 医疗设施 - mar pretty_name: "摩洛哥医疗设施数据集（Marocco-healthsites）" dataset_info: splits: - name: train num_examples: 310 - name: test num_examples: 77 --- # 摩洛哥医疗设施数据集（Marocco-healthsites） **发布方**：全球医疗设施测绘项目 · **来源**：[人道主义数据交换平台（HDX）](https://data.humdata.org/dataset/marocco-healthsites) · **许可协议**：`cc-by-igo` · **更新时间**：2025年4月25日 --- ## 摘要 本数据集收录了摩洛哥境内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。 数据集中每一行代表一条时序观测记录。本数据集最后一次在HDX平台更新的时间为2025年4月25日，地理覆盖范围：**摩洛哥（MAR）**。 *本数据集已由[Electric Sheep Africa（非洲电羊团队）](https://huggingface.co/electricsheepafrica)整理为适配机器学习的Parquet格式。* --- ## 数据集特征 | | | |---|---| | **领域** | 公共卫生 | | **观测单元** | 时序观测记录 | | **总记录数** | 388条 | | **字段数** | 14个（3个数值型、11个分类型、0个日期时间型） | | **训练集划分** | 310条 | | **测试集划分** | 77条 | | **地理覆盖范围** | 摩洛哥（MAR） | | **发布方** | 全球医疗设施测绘项目 | | **HDX平台最后更新时间** | 2025年4月25日 | --- ## 变量说明 **地理类字段**：`x`（经度，取值范围-10.1779至-1.0039）、`y`（纬度，取值范围27.6749至35.8875）、`type`（设施类型，可选值：医院、诊所）。 **时间类字段**：`date_modified`（最后修改时间，示例值：2015/12/11 10:51:22.924+00、2015/11/17 09:43:57.838+00、2016/02/23 01:20:44+00）。 **标识与元数据类字段**：`source_url`（来源链接，示例值：http://www.openstreetmap.org/way/248718105等）、`name`（设施名称，示例值：综合诊所、医院、CNSS综合诊所）、`uuid`（唯一标识符，示例值见原文）、`source`（数据来源，示例值：开放街道地图（OpenStreetMap））、`esa_source`（本数据集来源，示例值：HDX）及其他1个字段。 **其他字段**：`what3words`（三词地址编码，示例值：leads.pixies.lamppost等）、`upstream`（上游数据源标识，示例值：openstreetmap¶w248718105等）、`completeness`（数据完整率，示例值：35.29%、29.41%、41.18%）、`version`（数据集版本，取值范围2.0至2.0）。 --- ## 快速入门 python from datasets import load_dataset ds = load_dataset("electricsheepafrica/africa-marocco-healthsites") train = ds["train"].to_pandas() test = ds["test"].to_pandas() print(train.shape) train.head() --- ## 数据结构 | 字段名 | 数据类型 | 空值占比 | 取值范围/示例值 | |---|---|---|---| | `x` | float64 | 0.0% | -10.1779 至 -1.0039（均值 -5.3959） | | `y` | float64 | 0.0% | 27.6749 至 35.8875（均值 33.5947） | | `source_url` | object | 0.0% | http://www.openstreetmap.org/way/248718105、http://www.openstreetmap.org/way/475665966、http://www.openstreetmap.org/way/421536627 | | `what3words` | object | 0.0% | leads.pixies.lamppost、users.eyelash.faster、worth.freshen.reaction | | `upstream` | object | 0.0% | openstreetmap¶w248718105、OpenStreetMap¶w475665966、OpenStreetMap¶w421536627 | | `name` | object | 0.0% | Polyclinique（综合诊所）、Hôpital（医院）、Polyclinique CNSS（CNSS综合诊所） | | `completeness` | object | 0.0% | 35.29%、29.41%、41.18% | | `uuid` | object | 0.0% | f43812b1905a4a1183180f3e1eca8af3、cafcfc2cc020419199e598c8bd344cb5、2a4d1ae01a3148de87f72800c47c2853 | | `date_modified` | object | 0.0% | 2015/12/11 10:51:22.924+00、2015/11/17 09:43:57.838+00、2016/02/23 01:20:44+00 | | `source` | object | 0.0% | OpenStreetMap（开放街道地图） | | `version` | int64 | 0.0% | 2.0 至 2.0（均值 2.0） | | `type` | object | 0.0% | hospital（医院）、clinic（诊所） | | `esa_source` | object | 0.0% | HDX | | `esa_processed` | object | 0.0% | 无 | --- ## 数值型字段统计摘要 | 字段名 | 最小值 | 最大值 | 均值 | 中位数 | |---|---|---|---|---| | `x` | -10.1779 | -1.0039 | -5.3959 | -5.9989 | | `y` | 27.6749 | 35.8875 | 33.5947 | 33.9869 | | `version` | 2.0 | 2.0 | 2.0 | 2.0 | --- ## 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。字段名统一转换为小写并采用蛇形命名法（snake_case）进行标准化。将常见的空值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）统一替换为`NaN`。移除了4个空值占比超过80%的字段：`physical_address`（物理地址）、`url`（链接）、`phone`（电话）、`email`（邮箱）。本数据集以80:20的比例划分为训练集与测试集，采用固定随机种子（42）进行划分，并保存为Snappy压缩的Parquet格式。 --- ## 局限性说明 - 本数据集源自全球医疗设施测绘项目，未经过Electric Sheep Africa（ESA）的独立验证。 - 自动化清洗流程无法修正原始数据集中的错误上报值、定义不一致问题或采样偏差。 - 如需了解发布方的方法论说明与注意事项，请参阅[HDX平台原始数据集页面](https://data.humdata.org/dataset/marocco-healthsites)。 --- ## 引用格式 bibtex @dataset{hdx_africa_marocco_healthsites, title = {摩洛哥医疗设施数据集}, author = {全球医疗设施测绘项目}, year = {2025}, url = {https://data.humdata.org/dataset/marocco-healthsites}, note = {由Electric Sheep Africa（非洲电羊团队）重新打包以适配机器学习（https://huggingface.co/electricsheepafrica)} } --- *[Electric Sheep Africa（非洲电羊团队）](https://huggingface.co/electricsheepafrica) — 非洲机器学习数据集基础设施。尼日利亚拉各斯。*