electricsheepafrica/africa-gambia-healthsites
收藏资源简介：
--- 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 - gmb pretty_name: "Gambia-healthsites" dataset_info: splits: - name: train num_examples: 58 - name: test num_examples: 14 --- # Gambia-healthsites **Publisher:** Global Healthsites Mapping Project · **Source:** [HDX](https://data.humdata.org/dataset/gambia-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 tabular records. Temporal coverage is indicated by the `changeset_timestamp` column(s). Geographic scope: **GMB**. *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)** | 73 | | **Columns** | 14 (6 numeric, 7 categorical, 1 datetime) | | **Train split** | 58 rows | | **Test split** | 14 rows | | **Geographic scope** | GMB | | **Publisher** | Global Healthsites Mapping Project | | **HDX last updated** | 2025-04-25 | --- ## Variables **Geographic** — `x` (range -16.7964–-14.0158), `y` (range 13.0931–13.7792), `osm_type` (way, node), `amenity` (hospital, clinic, pharmacy). **Temporal** — `changeset_timestamp`. **Identifier / Metadata** — `osm_id` (range 125548270.0–6576674985.0), `changeset_id` (range 18241309.0–75320524.0), `uuid` (09a60dadc51d45c4afd7d1078fc98c09, ff347d8b87e9443b98c1c2735ca12c7a, 0722456c720b47e59eb12df481597a4d), `name` (Medical Research Council, Diabugu Batapa Health Center, Manding Drug Store), `esa_source` (HDX) and 1 others. **Other** — `completeness` (range 6.0–24.0), `changeset_version` (range 1.0–6.0), `changeset_user` (MorganJ14, cmsandquist, Caitlyn W). --- ## Quick Start ```python from datasets import load_dataset ds = load_dataset("electricsheepafrica/africa-gambia-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 | 56.2% | -16.7964 – -14.0158 (mean -15.8398) | | `y` | float64 | 56.2% | 13.0931 – 13.7792 (mean 13.4176) | | `osm_id` | int64 | 0.0% | 125548270.0 – 6576674985.0 (mean 2403254561.2603) | | `osm_type` | object | 0.0% | way, node | | `completeness` | int64 | 0.0% | 6.0 – 24.0 (mean 10.3836) | | `amenity` | object | 0.0% | hospital, clinic, pharmacy | | `changeset_id` | int64 | 0.0% | 18241309.0 – 75320524.0 (mean 48948539.5342) | | `uuid` | object | 0.0% | 09a60dadc51d45c4afd7d1078fc98c09, ff347d8b87e9443b98c1c2735ca12c7a, 0722456c720b47e59eb12df481597a4d | | `changeset_version` | int64 | 0.0% | 1.0 – 6.0 (mean 1.5068) | | `changeset_timestamp` | datetime64[ns] | 0.0% | | | `name` | object | 24.7% | Medical Research Council, Diabugu Batapa Health Center, Manding Drug Store | | `changeset_user` | object | 0.0% | MorganJ14, cmsandquist, Caitlyn W | | `esa_source` | object | 0.0% | HDX | | `esa_processed` | object | 0.0% | 2026-04-06 | --- ## Numeric Summary | Column | Min | Max | Mean | Median | |---|---|---|---|---| | `x` | -16.7964 | -14.0158 | -15.8398 | -16.0882 | | `y` | 13.0931 | 13.7792 | 13.4176 | 13.4417 | | `osm_id` | 125548270.0 | 6576674985.0 | 2403254561.2603 | 624734295.0 | | `completeness` | 6.0 | 24.0 | 10.3836 | 10.0 | | `changeset_id` | 18241309.0 | 75320524.0 | 48948539.5342 | 46475922.0 | | `changeset_version` | 1.0 | 6.0 | 1.5068 | 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: `is_in_health_zone`, `speciality`, `addr_full`, `operator`, `water_source`, `insurance`.... 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`, `name`. - Refer to the [original HDX dataset page](https://data.humdata.org/dataset/gambia-healthsites) for the publisher's own methodology notes and caveats. --- ## Citation ```bibtex @dataset{hdx_africa_gambia_healthsites, title = {Gambia-healthsites}, author = {Global Healthsites Mapping Project}, year = {2025}, url = {https://data.humdata.org/dataset/gambia-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: - 公开获取（从现有资源采集） language: - 英语 license: cc-by-4.0 multilinguality: - 单语言 size_categories: - 样本量小于1000 source_datasets: - 原始数据集 task_categories: - 表格分类 task_ids: [] tags: - 非洲 - 人道主义 - 人道主义数据交换平台（HDX） - 电羊非洲（Electric Sheep Africa） - 地理数据 - 卫生 - 医疗设施 - 冈比亚（GMB） pretty_name: "Gambia-healthsites" dataset_info: splits: - name: train num_examples: 58 - name: test num_examples: 14 # 冈比亚医疗设施数据集（Gambia-healthsites） **发布方：全球医疗设施测绘项目（Global Healthsites Mapping Project）** · **来源：[人道主义数据交换平台（HDX）](https://data.humdata.org/dataset/gambia-healthsites)** · **授权协议：`cc-by-4.0`** · **更新时间：2025-04-25** --- ## 数据集摘要 本数据集收录了冈比亚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。 数据集中每一行均为一条表格化记录，时间覆盖范围由`changeset_timestamp`（变更集时间戳）字段标注，地理覆盖范围为**冈比亚（GMB）**。 *本数据集已由[电羊非洲（Electric Sheep Africa）](https://huggingface.co/electricsheepafrica)整理为适用于机器学习的Parquet格式。* --- ## 数据集特征 | 特征项 | 详情 | |---|---| | **领域** | 公共卫生 | | **观测单元** | 表格化记录 | | **总记录数** | 73条 | | **字段数** | 14个（6个数值型、7个分类型、1个日期时间型） | | **训练集样本量** | 58条 | | **测试集样本量** |14条 | | **地理覆盖范围** | 冈比亚（GMB） | | **发布方** | 全球医疗设施测绘项目（Global Healthsites Mapping Project） | | **HDX平台最后更新时间** | 2025-04-25 | --- ## 字段分类 **地理类字段**：`x`（经度，取值范围-16.7964~-14.0158）、`y`（纬度，取值范围13.0931~13.7792）、`osm_type`（开放街道地图要素类型，可选值：way、node）、`amenity`（设施类型，可选值：医院、诊所、药房）。 **时间类字段**：`changeset_timestamp`（变更集时间戳）。 **标识与元数据字段**：`osm_id`（开放街道地图要素ID，取值范围125548270.0~6576674985.0）、`changeset_id`（变更集ID，取值范围18241309.0~75320524.0）、`uuid`（通用唯一识别码，示例值：09a60dadc51d45c4afd7d1078fc98c09、ff347d8b87e9443b98c1c2735ca12c7a、0722456c720b47e59eb12df481597a4d）、`name`（设施名称，示例值：医学研究理事会、Diabugu Batapa医疗中心、Manding药店）、`esa_source`（数据来源，示例值：HDX）及其他1个字段。 **其他字段**：`completeness`（数据完整度，取值范围6.0~24.0）、`changeset_version`（变更集版本号，取值范围1.0~6.0）、`changeset_user`（变更提交用户，示例值：MorganJ14、cmsandquist、Caitlyn W）。 --- ## 快速上手示例 python from datasets import load_dataset ds = load_dataset("electricsheepafrica/africa-gambia-healthsites") train = ds["train"].to_pandas() test = ds["test"].to_pandas() print(train.shape) train.head() --- ## 数据Schema | 字段名 | 数据类型 | 空值占比 | 取值范围/示例值 | |---|---|---|---| | `x` | float64 | 56.2% | -16.7964 ~ -14.0158（均值为-15.8398） | | `y` | float64 | 56.2% | 13.0931 ~ 13.7792（均值为13.4176） | | `osm_id` | int64 | 0.0% | 125548270.0 ~ 6576674985.0（均值为2403254561.2603） | | `osm_type` | object | 0.0% | way、node | | `completeness` | int64 | 0.0% | 6.0 ~ 24.0（均值为10.3836） | | `amenity` | object | 0.0% | hospital、clinic、pharmacy（即医院、诊所、药房） | | `changeset_id` | int64 | 0.0% | 18241309.0 ~ 75320524.0（均值为48948539.5342） | | `uuid` | object | 0.0% | 09a60dadc51d45c4afd7d1078fc98c09、ff347d8b87e9443b98c1c2735ca12c7a、0722456c720b47e59eb12df481597a4d | | `changeset_version` | int64 | 0.0% | 1.0 ~ 6.0（均值为1.5068） | | `changeset_timestamp` | datetime64[ns] | 0.0% | 无 | | `name` | object | 24.7% | 医学研究理事会、Diabugu Batapa医疗中心、Manding药店 | | `changeset_user` | object | 0.0% | MorganJ14、cmsandquist、Caitlyn W | | `esa_source` | object | 0.0% | HDX | | `esa_processed` | object | 0.0% | 2026-04-06 | --- ## 数值型字段统计摘要 | 字段名 | 最小值 | 最大值 | 均值 | 中位数 | |---|---|---|---|---| | `x` | -16.7964 | -14.0158 | -15.8398 | -16.0882 | | `y` | 13.0931 | 13.7792 | 13.4176 | 13.4417 | | `osm_id` | 125548270.0 | 6576674985.0 | 2403254561.2603 | 624734295.0 | | `completeness` | 6.0 | 24.0 | 10.3836 | 10.0 | | `changeset_id` | 18241309.0 | 75320524.0 | 48948539.5342 | 46475922.0 | | `changeset_version` | 1.0 | 6.0 | 1.5068 | 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Parquet格式。对字段名进行了小写转换，并统一规范为蛇形命名法。将常见的空值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）统一替换为`NaN`。删除了22个空值占比超过80%的字段：`is_in_health_zone`、`speciality`、`addr_full`、`operator`、`water_source`、`insurance`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日期时间型。采用固定随机种子（42）将数据集按80/20的比例划分为训练集与测试集，并保存为Snappy压缩的Parquet格式。 --- ## 数据集局限性 1. 本数据集源自全球医疗设施测绘项目，尚未由电羊非洲（ESA）进行独立验证。 2. 自动化数据清洗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。 3. 以下字段的空值占比超过20%，在建模过程中需谨慎使用：`x`、`y`、`name`。 4. 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/gambia-healthsites)。 --- ## 引用格式 bibtex @dataset{hdx_africa_gambia_healthsites, title = {Gambia-healthsites}, author = {Global Healthsites Mapping Project}, year = {2025}, url = {https://data.humdata.org/dataset/gambia-healthsites}, note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)} } --- *[电羊非洲（Electric Sheep Africa）](https://huggingface.co/electricsheepafrica) — 非洲机器学习数据集基础设施提供商，总部位于尼日利亚拉各斯。*
