electricsheepafrica/africa-climate-cameroon

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: other
multilinguality:
- monolingual
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- tabular-classification
- other
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- baseline-population
- climate-weather
- conflict-violence
- displacement
- economics
- education
- food-security
- funding
- cmr
pretty_name: "HDX HAPI Data for Cameroon"
dataset_info:
splits:
- name: train
num_examples: 184
- name: test
num_examples: 46
---

# HDX HAPI Data for Cameroon

**Publisher:** HDX Humanitarian API Data · **Source:** [HDX](https://data.humdata.org/dataset/hdx-hapi-cmr) · **License:** `hdx-other` · **Updated:** 2026-02-18

---

## Abstract

This dataset contains data obtained from the
[HDX Humanitarian API](https://hapi.humdata.org/) (HDX HAPI),
which provides standardized humanitarian indicators designed
for seamless interoperability from multiple sources.
The data facilitates automated workflows and visualizations
to support humanitarian decision making.
For more information, please see the HDX HAPI
[landing page](https://data.humdata.org/hapi)
and
[documentation](https://hdx-hapi.readthedocs.io/en/latest/).

Each row in this dataset represents subnational administrative unit observations. Temporal coverage is indicated by the `reference_period_start`, `reference_period_end` column(s). Geographic scope: **CMR**.

*Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).*

---

## Dataset Characteristics

| | |
|---|---|
| **Domain** | Food security and nutrition |
| **Unit of observation** | Subnational administrative unit observations |
| **Rows (total)** | 231 |
| **Columns** | 18 (3 numeric, 11 categorical, 2 datetime) |
| **Train split** | 184 rows |
| **Test split** | 46 rows |
| **Geographic scope** | CMR |
| **Publisher** | HDX Humanitarian API Data |
| **HDX last updated** | 2026-02-18 |

---

## Variables

**Geographic** — `location_code` (CMR), `provider_admin1_name` (Extrême-Nord), `provider_admin2_name` (Diamare, Logone-Et-Chari, Mayo-Danay), `admin1_code` (CM004), `admin1_name` (Far-North) and 5 others.

**Temporal** — `reference_period_start`, `reference_period_end`.

**Identifier / Metadata** — `esa_source` (HDX), `esa_processed`.

**Other** — `has_hrp`, `in_gho`, `operation` (Lake Chad Basin Crisis), `reporting_round` (range 1.0–29.0).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-climate-cameroon")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

print(train.shape)
train.head()
```

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `location_code` | object | 0.0% | CMR |
| `has_hrp` | bool | 0.0% | |
| `in_gho` | bool | 0.0% | |
| `provider_admin1_name` | object | 12.6% | Extrême-Nord |
| `provider_admin2_name` | object | 25.1% | Diamare, Logone-Et-Chari, Mayo-Danay |
| `admin1_code` | object | 12.6% | CM004 |
| `admin1_name` | object | 12.6% | Far-North |
| `admin2_code` | object | 25.1% | CM004001, CM004002, CM004003 |
| `admin2_name` | object | 25.1% | Diamaré, Logone-et-Chari, Mayo-Danay |
| `admin_level` | int64 | 0.0% | 0.0 – 2.0 (mean 1.6234) |
| `operation` | object | 0.0% | Lake Chad Basin Crisis |
| `assessment_type` | object | 0.0% | BA |
| `population` | int64 | 0.0% | 108.0 – 510855.0 (mean 106403.0909) |
| `reporting_round` | int64 | 0.0% | 1.0 – 29.0 (mean 15.0606) |
| `reference_period_start` | datetime64[ns] | 0.0% | |
| `reference_period_end` | datetime64[ns] | 0.0% | |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `admin_level` | 0.0 | 2.0 | 1.6234 | 2.0 |
| `population` | 108.0 | 510855.0 | 106403.0909 | 56935.0 |
| `reporting_round` | 1.0 | 29.0 | 15.0606 | 15.0 |

---

## 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`. 2 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 HDX Humanitarian API Data 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: `provider_admin2_name`, `admin2_code`, `admin2_name`.
- Refer to the [original HDX dataset page](https://data.humdata.org/dataset/hdx-hapi-cmr) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_climate_cameroon,
title = {HDX HAPI Data for Cameroon},
author = {HDX Humanitarian API Data},
year = {2026},
url = {https://data.humdata.org/dataset/hdx-hapi-cmr},
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:
- 无注释生成
language_creators:
- 现有资源采集
language:
- 英语（en）
license:
- 其他
multilinguality:
- 单语言
size_categories:
- 样本量小于1000
source_datasets:
- 原创数据集
task_categories:
- 表格分类
- 其他
task_ids: []
tags:
- 非洲
- 人道主义
- HDX
- electric-sheep-africa
- 基线人口
- 气候与天气
- 冲突与暴力
- 流离失所
- 经济状况
- 教育
- 粮食安全
- 资金资助
- cmr
pretty_name: "HDX HAPI 喀麦隆数据集"
dataset_info:
splits:
- name: train
num_examples: 184
- name: test
num_examples: 46

---

# HDX HAPI 喀麦隆数据集

**发布方：** HDX人道主义API数据集（HDX Humanitarian API Data） · **来源：** [HDX](https://data.humdata.org/dataset/hdx-hapi-cmr) · **许可协议：** `hdx-other` · **更新时间：** 2026-02-18

---

## 摘要

本数据集包含从[HDX人道主义API（HDX Humanitarian API，HDX HAPI）](https://hapi.humdata.org/)获取的数据，该接口提供来自多源的标准化人道主义指标，旨在实现跨源无缝互操作。本数据集可助力自动化工作流与可视化流程，以支撑人道主义决策制定。如需更多信息，请访问HDX HAPI的[着陆页](https://data.humdata.org/hapi)与[官方文档](https://hdx-hapi.readthedocs.io/en/latest/)。

本数据集的每一行代表次国家级行政单元的观测记录。时间覆盖范围由`reference_period_start`（参考周期开始）、`reference_period_end`（参考周期结束）列标注。地理范围：**喀麦隆（CMR）**。

*本数据集已由[Electric Sheep Africa（电羊非洲）](https://huggingface.co/electricsheepafrica)整理为适用于机器学习的Parquet格式。*

---

## 数据集特征

| | |
|---|---|
| **研究领域** | 粮食安全与营养 |
| **观测单元** | 次国家级行政单元观测记录 |
| **总样本行数** | 231 |
| **列数** | 18列（3个数值型、11个分类型、2个日期时间型） |
| **训练集划分** | 184条记录 |
| **测试集划分** | 46条记录 |
| **地理范围** | 喀麦隆（CMR） |
| **发布方** | HDX人道主义API数据集 |
| **HDX最后更新时间** | 2026-02-18 |

---

## 变量说明

**地理类变量** — `location_code`（CMR）、`provider_admin1_name`（极北区，Extrême-Nord）、`provider_admin2_name`（迪亚马雷、洛贡-查里、马约-达奈，Diamare, Logone-Et-Chari, Mayo-Danay）、`admin1_code`（CM004）、`admin1_name`（远北区，Far-North）及其他5个变量。
**时间类变量** — `reference_period_start`（参考周期开始）、`reference_period_end`（参考周期结束）。
**标识符与元数据变量** — `esa_source`（HDX）、`esa_processed`。
**其他变量** — `has_hrp`、`in_gho`、`operation`（乍得湖盆地危机，Lake Chad Basin Crisis）、`reporting_round`（取值范围1.0–29.0）。

---

## 快速上手

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-climate-cameroon")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

print(train.shape)
train.head()

---

## 数据模式

| 列名 | 数据类型 | 缺失率 | 取值范围/示例值 |
|---|---|---|---|
| `location_code` | 字符串（object） | 0.0% | CMR |
| `has_hrp` | 布尔型（bool） | 0.0% | 无 |
| `in_gho` | 布尔型（bool） | 0.0% | 无 |
| `provider_admin1_name` | 字符串（object） | 12.6% | 极北区（Extrême-Nord） |
| `provider_admin2_name` | 字符串（object） | 25.1% | 迪亚马雷、洛贡-查里、马约-达奈 |
| `admin1_code` | 字符串（object） | 12.6% | CM004 |
| `admin1_name` | 字符串（object） | 12.6% | 远北区（Far-North） |
| `admin2_code` | 字符串（object） | 25.1% | CM004001、CM004002、CM004003 |
| `admin2_name` | 字符串（object） | 25.1% | 迪亚马雷、洛贡-查里、马约-达奈 |
| `admin_level` | 64位整型（int64） | 0.0% | 0.0 – 2.0（均值1.6234） |
| `operation` | 字符串（object） | 0.0% | 乍得湖盆地危机 |
| `assessment_type` | 字符串（object） | 0.0% | BA |
| `population` | 64位整型（int64） | 0.0% | 108.0 – 510855.0（均值106403.0909） |
| `reporting_round` | 64位整型（int64） | 0.0% | 1.0 – 29.0（均值15.0606） |
| `reference_period_start` | 日期时间型（datetime64[ns]） | 0.0% | 无 |
| `reference_period_end` | 日期时间型（datetime64[ns]） | 0.0% | 无 |
| `esa_source` | 字符串（object） | 0.0% | HDX |
| `esa_processed` | 字符串（object） | 0.0% | 无 |

---

## 数值型变量统计摘要

| 列名 | 最小值 | 最大值 | 均值 | 中位数 |
|---|---|---|---|---|
| `admin_level` | 0.0 | 2.0 | 1.6234 | 2.0 |
| `population` | 108.0 | 510855.0 | 106403.0909 | 56935.0 |
| `reporting_round` | 1.0 | 29.0 | 15.0606 | 15.0 |

---

## 数据整理流程

原始数据通过CKAN API（CKAN API）从HDX平台下载，并转换为Parquet格式。列名均转换为小写并标准化为蛇形命名法（snake_case）。通用缺失值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）被统一替换为`NaN`。基于解析成功率（阈值>85%），将2列从字符串类型转换为数值型或日期时间型。本数据集以固定随机种子（42）按80/20比例划分为训练集与测试集，并以Snappy压缩格式的Parquet文件保存。

---

## 数据集局限性

- 本数据源自HDX人道主义API数据集，未经过Electric Sheep Africa的独立验证。
- 自动化清洗流程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。
- 以下列的缺失率超过20%，在建模时需谨慎使用：`provider_admin2_name`、`admin2_code`、`admin2_name`。
- 如需了解发布方的方法说明与注意事项，请参阅[原始HDX数据集页面](https://data.humdata.org/dataset/hdx-hapi-cmr)。

---

## 引用格式

bibtex
@dataset{hdx_africa_climate_cameroon,
title = {HDX HAPI 喀麦隆数据集},
author = {HDX人道主义API数据集},
year = {2026},
url = {https://data.humdata.org/dataset/hdx-hapi-cmr},
note = {由Electric Sheep Africa（电羊非洲）重新打包以适配机器学习任务，链接：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。*