electricsheepafrica/africa-nigeria-child-protection-5w-for-month-of-june-2016

---
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
- protection
- who-is-doing-what-and-where-3w-4w-5w
- nga
pretty_name: "Nigeria - Child Protection 5W for the month of June 2016"
dataset_info:
splits:
- name: train
num_examples: 112
- name: test
num_examples: 28
---

# Nigeria - Child Protection 5W for the month of June 2016

**Publisher:** UNICEF Nigeria (inactive) · **Source:** [HDX](https://data.humdata.org/dataset/nigeria-child-protection-5w-for-month-of-june-2016) · **License:** `cc-by` · **Updated:** 2024-01-30

---

## Abstract

Nigeria, Child Protection 5W for month of June 2016

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

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

---

## Dataset Characteristics

| | |
|---|---|
| **Domain** | Humanitarian and development data |
| **Unit of observation** | Subnational administrative unit observations |
| **Rows (total)** | 140 |
| **Columns** | 13 (0 numeric, 11 categorical, 2 datetime) |
| **Train split** | 112 rows |
| **Test split** | 28 rows |
| **Geographic scope** | NGA |
| **Publisher** | UNICEF Nigeria (inactive) |
| **HDX last updated** | 2024-01-30 |

---

## Variables

**Geographic** — `activity` (Provide psychosocial activities for children in Child Friendly Spaces /child clubs, Identify separated children, Identify unaccompanied children), `lga` (Maiduguri, Yola south, Jere), `statecode` (NGA008, NGA002, NGA016), `lgacode` (NGA008021, NGA002021, NGA008013).

**Temporal** — `startdate`, `enddate`.

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

**Other** — `sector` (Protection), `subsector` (Child Protection), `leadorganisation` (International Rescue Committee, Save the Children, UN Children fund), `implementingpartner` (International Rescue Committee, Center for Community Health Development, SMWASD Borno), `needaddressed` (Unaccompanied and Separated Children, Psychosocial Distress and Mental Disorder, Multiple Needs).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-nigeria-child-protection-5w-for-month-of-june-2016")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

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

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `sector` | object | 0.0% | Protection |
| `subsector` | object | 0.0% | Child Protection |
| `leadorganisation` | object | 0.0% | International Rescue Committee, Save the Children, UN Children fund |
| `implementingpartner` | object | 0.0% | International Rescue Committee, Center for Community Health Development, SMWASD Borno |
| `needaddressed` | object | 0.0% | Unaccompanied and Separated Children, Psychosocial Distress and Mental Disorder, Multiple Needs |
| `activity` | object | 0.0% | Provide psychosocial activities for children in Child Friendly Spaces /child clubs, Identify separated children, Identify unaccompanied children |
| `startdate` | datetime64[ns] | 0.0% | |
| `enddate` | datetime64[ns] | 0.0% | |
| `lga` | object | 0.0% | Maiduguri, Yola south, Jere |
| `statecode` | object | 0.0% | NGA008, NGA002, NGA016 |
| `lgacode` | object | 0.0% | NGA008021, NGA002021, NGA008013 |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
_No numeric columns._

---

## 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`. 214 exact duplicate rows were removed. 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 UNICEF Nigeria (inactive) 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/nigeria-child-protection-5w-for-month-of-june-2016) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_nigeria_child_protection_5w_for_month_of_june_2016,
title = {Nigeria - Child Protection 5W for the month of June 2016},
author = {UNICEF Nigeria (inactive)},
year = {2024},
url = {https://data.humdata.org/dataset/nigeria-child-protection-5w-for-month-of-june-2016},
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:
- 外部获取
language:
- 英语
license: CC BY 4.0（知识共享署名4.0国际许可协议）
multilinguality:
- 单语言
size_categories:
- 样本数少于1000
source_datasets:
- 原生数据集
task_categories:
- 表格分类
- 表格回归
task_ids: []
tags:
- 非洲
- 人道主义
- HDX（人道主义数据交换平台，Humanitarian Data Exchange）
- 电羊非洲（Electric Sheep Africa）
- 保护
- 谁-做何事-在何地（3W/4W/5W框架）
- NGA（尼日利亚国家代码）
pretty_name: "尼日利亚2016年6月儿童保护5W数据集"
dataset_info:
splits:
- name: train
num_examples: 112
- name: test
num_examples: 28

---

# 尼日利亚2016年6月儿童保护5W数据集

**发布方**：联合国儿童基金会尼日利亚办事处（已停用） · **来源**：[HDX（人道主义数据交换平台）](https://data.humdata.org/dataset/nigeria-child-protection-5w-for-month-of-june-2016) · **许可协议**：`CC BY` · **更新时间**：2024-01-30

---

## 摘要

本数据集为尼日利亚2016年6月儿童保护5W数据集。
数据集内每一行代表一个次国家级行政单元的观测记录，时间覆盖范围由`startdate`（开始日期）与`enddate`（结束日期）两列标注。地理覆盖范围：**NGA（尼日利亚国家代码）**。

*本数据集已由[电羊非洲（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

| 项 | 详情 |
|---|---|
| **领域** | 人道主义与发展数据 |
| **观测单元** | 次国家级行政单元观测记录 |
| **总行数** | 140 |
| **列数** | 13列（0个数值列，11个分类列，2个日期时间列） |
| **训练集样本量** | 112条 |
| **测试集样本量** | 28条 |
| **地理覆盖范围** | NGA（尼日利亚） |
| **发布方** | 联合国儿童基金会尼日利亚办事处（已停用） |
| **HDX平台最后更新时间** | 2024-01-30 |

---

## 变量说明

### 地理类变量
`activity`（活动内容）：为儿童友好空间/儿童俱乐部中的儿童提供心理社会支持活动、甄别失散儿童、甄别无人陪伴儿童
`lga`（地方政府区域）：迈杜古里、约拉南区、杰雷
`statecode`（州代码）：NGA008、NGA002、NGA016
`lgacode`（地方政府区域代码）：NGA008021、NGA002021、NGA008013

### 时间类变量
`startdate`（开始日期）、`enddate`（结束日期）

### 标识符/元数据类变量
`esa_source`（数据来源）、`esa_processed`（处理标记）

### 其他类变量
`sector`（领域）：保护
`subsector`（子领域）：儿童保护
`leadorganisation`（牵头机构）：国际救援委员会、救助儿童会、联合国儿童基金会
`implementingpartner`（执行伙伴）：国际救援委员会、社区健康发展中心、博尔诺州SMWASD
`needaddressed`（应对需求）：无人陪伴及失散儿童、心理社会困扰与精神障碍、多重需求

---

## 快速上手

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-nigeria-child-protection-5w-for-month-of-june-2016")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

print(train.shape)
train.head()

---

## 数据schema

| 列名 | 数据类型 | 空值占比 | 取值范围/示例值 |
|---|---|---|---|
| `sector` | 字符串（object） | 0.0% | 保护 |
| `subsector` | 字符串（object） | 0.0% | 儿童保护 |
| `leadorganisation` | 字符串（object） | 0.0% | 国际救援委员会、救助儿童会、联合国儿童基金会 |
| `implementingpartner` | 字符串（object） | 0.0% | 国际救援委员会、社区健康发展中心、博尔诺州SMWASD |
| `needaddressed` | 字符串（object） | 0.0% | 无人陪伴及失散儿童、心理社会困扰与精神障碍、多重需求 |
| `activity` | 字符串（object） | 0.0% | 为儿童友好空间/儿童俱乐部中的儿童提供心理社会支持活动、甄别失散儿童、甄别无人陪伴儿童 |
| `startdate` | datetime64[ns] | 0.0% | 无 |
| `enddate` | datetime64[ns] | 0.0% | 无 |
| `lga` | 字符串（object） | 0.0% | 迈杜古里、约拉南区、杰雷 |
| `statecode` | 字符串（object） | 0.0% | NGA008、NGA002、NGA016 |
| `lgacode` | 字符串（object） | 0.0% | NGA008021、NGA002021、NGA008013 |
| `esa_source` | 字符串（object） | 0.0% | HDX |
| `esa_processed` | 字符串（object） | 0.0% | 无 |

---

## 数值统计摘要

| 列名 | 最小值 | 最大值 | 均值 | 中位数 |
|---|---|---|---|---|
*无数值列*

---

## 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。对列名进行了小写转换并统一为蛇形命名规范。将常见的缺失值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）统一替换为`NaN`。移除了214条完全重复的行。根据解析成功率（阈值>85%）将2列从字符串类型转换为数值或日期时间类型。采用固定随机种子（42）将数据集按80/20比例划分为训练集与测试集，并保存为Snappy压缩的Parquet格式。

---

## 局限性说明

- 数据源自联合国儿童基金会尼日利亚办事处（已停用），未经过电羊非洲的独立验证。
- 自动化清洗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。
- 请参阅[HDX平台原始数据集页面](https://data.humdata.org/dataset/nigeria-child-protection-5w-for-month-of-june-2016)获取发布方提供的方法说明与注意事项。

---

## 引用

bibtex
@dataset{hdx_africa_nigeria_child_protection_5w_for_month_of_june_2016,
title = {Nigeria - Child Protection 5W for the month of June 2016},
author = {UNICEF Nigeria (inactive)},
year = {2024},
url = {https://data.humdata.org/dataset/nigeria-child-protection-5w-for-month-of-june-2016},
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，尼日利亚拉各斯。*