electricsheepafrica/africa-ethiopian-airdromes

--- 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 - tabular-regression task_ids: [] tags: - africa - humanitarian - hdx - electric-sheep-africa - aviation - transportation - eth pretty_name: "Ethiopia - Airports" dataset_info: splits: - name: train num_examples: 29 - name: test num_examples: 7 --- # Ethiopia - Airports **Publisher:** OCHA Ethiopia · **Source:** [HDX](https://data.humdata.org/dataset/ethiopian-airdromes) · **License:** `cc-by` · **Updated:** 2025-11-25 --- ## Abstract Data collated from Ethiopian Airports Agency, it contains data on airport facilities. Each row in this dataset represents tabular records. Data was last updated on HDX on 2025-11-25. Geographic scope: **ETH**. *Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).* --- ## Dataset Characteristics | | | |---|---| | **Domain** | Humanitarian and development data | | **Unit of observation** | Tabular records | | **Rows (total)** | 37 | | **Columns** | 9 (5 numeric, 4 categorical, 0 datetime) | | **Train split** | 29 rows | | **Test split** | 7 rows | | **Geographic scope** | ETH | | **Publisher** | OCHA Ethiopia | | **HDX last updated** | 2025-11-25 | --- ## Variables **Geographic** — `type` (Airport, Airstrip, Airfield), `point_x` (range 0.0–45.332), `point_y` (range 0.0–14.1438). **Identifier / Metadata** — `objectid` (range 1.0–39.0), `oid` (range 0.0–33.0), `name` (Hawasa Airport, Debre Markos Airfield, Robe Airstrip), `esa_source` (HDX), `esa_processed` (2026-04-07). **Other** — `point_z` (range 0.0–0.0). --- ## Quick Start ```python from datasets import load_dataset ds = load_dataset("electricsheepafrica/africa-ethiopian-airdromes") train = ds["train"].to_pandas() test = ds["test"].to_pandas() print(train.shape) train.head() ``` --- ## Schema | Column | Type | Null % | Range / Sample Values | |---|---|---|---| | `objectid` | int64 | 0.0% | 1.0 – 39.0 (mean 19.4865) | | `oid` | int64 | 0.0% | 0.0 – 33.0 (mean 16.1351) | | `name` | object | 0.0% | Hawasa Airport, Debre Markos Airfield, Robe Airstrip | | `type` | object | 0.0% | Airport, Airstrip, Airfield | | `point_x` | float64 | 0.0% | 0.0 – 45.332 (mean 37.7175) | | `point_y` | float64 | 0.0% | 0.0 – 14.1438 (mean 8.776) | | `point_z` | float64 | 0.0% | 0.0 – 0.0 (mean 0.0) | | `esa_source` | object | 0.0% | HDX | | `esa_processed` | object | 0.0% | 2026-04-07 | --- ## Numeric Summary | Column | Min | Max | Mean | Median | |---|---|---|---|---| | `objectid` | 1.0 | 39.0 | 19.4865 | 19.0 | | `oid` | 0.0 | 33.0 | 16.1351 | 15.0 | | `point_x` | 0.0 | 45.332 | 37.7175 | 38.3968 | | `point_y` | 0.0 | 14.1438 | 8.776 | 8.557 | | `point_z` | 0.0 | 0.0 | 0.0 | 0.0 | --- ## 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`. 1 column(s) with >80% missing values were removed: `surface_ty`. 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 OCHA Ethiopia 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/ethiopian-airdromes) for the publisher's own methodology notes and caveats. --- ## Citation ```bibtex @dataset{hdx_africa_ethiopian_airdromes, title = {Ethiopia - Airports}, author = {OCHA Ethiopia}, year = {2025}, url = {https://data.humdata.org/dataset/ethiopian-airdromes}, 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: - 现有公开资源采集 language: - 英语 license: CC-BY 4.0 multilinguality: - 单语言 size_categories: - 数据量小于1000条 source_datasets: - 原始数据集 task_categories: - 表格分类 - 表格回归 task_ids: [] tags: - 非洲 - 人道主义 - HDX - Electric Sheep Africa - 航空 - 交通 - ETH pretty_name: "埃塞俄比亚——机场" dataset_info: splits: - name: train num_examples: 29 - name: test num_examples: 7 # 埃塞俄比亚——机场数据集 **发布方**：OCHA埃塞俄比亚办事处 · **数据源**：[HDX](https://data.humdata.org/dataset/ethiopian-airdromes) · **许可证**：`CC-BY` · **最后更新时间**：2025-11-25 --- ## 摘要 本数据集数据整理自埃塞俄比亚机场管理局，包含埃塞俄比亚机场设施相关信息。本数据集每条记录均为表格型数据，数据最后更新于HDX平台的时间为2025-11-25，地理覆盖范围：**埃塞俄比亚（ETH）**。 *本数据集已由[Electric Sheep Africa](https://huggingface.co/electricsheepafrica)整理为适配机器学习的Parquet格式。* --- ## 数据集特征 | | | |---|---| | **数据集领域** | 人道主义与发展数据 | | **观测单元** | 表格型记录 | | **总记录数** | 37条 | | **字段数** | 9个（其中5个数值型、4个分类型、0个日期时间型） | | **训练集划分** | 29条记录 | | **测试集划分** | 7条记录 | | **地理覆盖范围** | 埃塞俄比亚（ETH） | | **发布方** | OCHA埃塞俄比亚办事处 | | **HDX平台最后更新时间** | 2025-11-25 | --- ## 字段说明 ### 地理类字段 `type`（可选值：机场、简易跑道、机场场地），`point_x`（取值范围：0.0–45.332），`point_y`（取值范围：0.0–14.1438）。 ### 标识与元数据字段 `objectid`（取值范围：1.0–39.0），`oid`（取值范围：0.0–33.0），`name`（示例值：阿瓦萨机场、德布雷马克斯机场场地、罗贝简易跑道），`esa_source`（数据源：HDX），`esa_processed`（数据处理时间：2026-04-07）。 ### 其他字段 `point_z`（取值范围：0.0–0.0）。 --- ## 快速上手 python from datasets import load_dataset # 加载目标数据集 ds = load_dataset("electricsheepafrica/africa-ethiopian-airdromes") # 将训练集转换为Pandas DataFrame格式 train = ds["train"].to_pandas() # 将测试集转换为Pandas DataFrame格式 test = ds["test"].to_pandas() # 打印训练集的形状信息 print(train.shape) # 查看训练集前5条记录 train.head() --- ## 字段结构 | 字段名 | 数据类型 | 缺失率 | 取值范围/示例值 | |---|---|---|---| | `objectid` | int64 | 0.0% | 1.0 – 39.0（均值19.4865） | | `oid` | int64 | 0.0% | 0.0 – 33.0（均值16.1351） | | `name` | object | 0.0% | 阿瓦萨机场、德布雷马克斯机场场地、罗贝简易跑道 | | `type` | object | 0.0% | 机场、简易跑道、机场场地 | | `point_x` | float64 | 0.0% | 0.0 – 45.332（均值37.7175） | | `point_y` | float64 | 0.0% | 0.0 – 14.1438（均值8.776） | | `point_z` | float64 | 0.0% | 0.0 – 0.0（均值0.0） | | `esa_source` | object | 0.0% | HDX | | `esa_processed` | object | 0.0% | 2026-04-07 | --- ## 数值统计摘要 | 字段名 | 最小值 | 最大值 | 均值 | 中位数 | |---|---|---|---|---| | `objectid` | 1.0 | 39.0 | 19.4865 | 19.0 | | `oid` | 0.0 | 33.0 | 16.1351 | 15.0 | | `point_x` | 0.0 | 45.332 | 37.7175 | 38.3968 | | `point_y` | 0.0 | 14.1438 | 8.776 | 8.557 | | `point_z` | 0.0 | 0.0 | 0.0 | 0.0 | --- ## 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。字段名统一转为小写并采用蛇形命名法（snake_case）进行标准化。常见缺失值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）被统一替换为`NaN`。移除了1个缺失率超过80%的字段：`surface_ty`。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），最终保存为Snappy压缩的Parquet格式文件。 --- ## 数据集局限性 1. 本数据集原始数据来自OCHA埃塞俄比亚办事处，未经过Electric Sheep Africa的独立验证。 2. 自动化数据清洗无法修正原始数据集中的错误填报值、定义不一致问题或采样偏差。 3. 如需了解发布方提供的方法论说明与注意事项，请参阅[原始HDX数据集页面](https://data.humdata.org/dataset/ethiopian-airdromes)。 --- ## 引用格式 bibtex @dataset{hdx_africa_ethiopian_airdromes, title = {埃塞俄比亚——机场}, author = {OCHA Ethiopia}, year = {2025}, url = {https://data.humdata.org/dataset/ethiopian-airdromes}, note = {由Electric Sheep Africa (https://huggingface.co/electricsheepafrica) 重新封装为机器学习可用数据集} } --- *[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — 非洲地区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。*