electricsheepafrica/africa-world-bank-aid-effectiveness-indicators-for-federal-republic-of-somalia

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- tabular-classification
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- aid-effectiveness
- hxl
- indicators
- som
pretty_name: "Federal Republic of Somalia - Aid Effectiveness"
dataset_info:
splits:
- name: train
num_examples: 1815
- name: test
num_examples: 453
---

# Federal Republic of Somalia - Aid Effectiveness

**Publisher:** World Bank Group · **Source:** [HDX](https://data.humdata.org/dataset/world-bank-aid-effectiveness-indicators-for-federal-republic-of-somalia) · **License:** `cc-by` · **Updated:** 2025-11-04

---

## Abstract

Contains data from the World Bank's [data portal](http://data.worldbank.org/). There is also a [consolidated country dataset](https://data.humdata.org/dataset/world-bank-combined-indicators-for-federal-republic-of-somalia) on HDX.

Aid effectiveness is the impact that aid has in reducing poverty and inequality, increasing growth, building capacity, and accelerating achievement of the Millennium Development Goals set by the international community. Indicators here cover aid received as well as progress in reducing poverty and improving education, health, and other measures of human welfare.

Each row in this dataset represents country-level aggregates. Data was last updated on HDX on 2025-11-04. Geographic scope: **SOM**.

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

---

## Dataset Characteristics

| | |
|---|---|
| **Domain** | Public health |
| **Unit of observation** | Country-level aggregates |
| **Rows (total)** | 2,269 |
| **Columns** | 8 (2 numeric, 6 categorical, 0 datetime) |
| **Train split** | 1,815 rows |
| **Test split** | 453 rows |
| **Geographic scope** | SOM |
| **Publisher** | World Bank Group |
| **HDX last updated** | 2025-11-04 |

---

## Variables

**Geographic** — `country_name` (Federal Republic of Somalia, #country+name), `country_iso3` (SOM, #country+code), `year` (range 1960.0–2024.0).

**Outcome / Measurement** — `value` (range -4190000.0572–3240790039.0625).

**Identifier / Metadata** — `indicator_name` (Net migration, Net bilateral aid flows from DAC donors, European Union institutions (current US$), Net bilateral aid flows from DAC donors, Italy (current US$)), `indicator_code` (SM.POP.NETM, DC.DAC.CECL.CD, DC.DAC.ITAL.CD), `esa_source` (HDX), `esa_processed` (2026-04-08).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-aid-effectiveness-indicators-for-federal-republic-of-somalia")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

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

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `country_name` | object | 0.0% | Federal Republic of Somalia, #country+name |
| `country_iso3` | object | 0.0% | SOM, #country+code |
| `year` | float64 | 0.0% | 1960.0 – 2024.0 (mean 1996.2941) |
| `indicator_name` | object | 0.0% | Net migration, Net bilateral aid flows from DAC donors, European Union institutions (current US$), Net bilateral aid flows from DAC donors, Italy (current US$) |
| `indicator_code` | object | 0.0% | SM.POP.NETM, DC.DAC.CECL.CD, DC.DAC.ITAL.CD |
| `value` | float64 | 0.0% | -4190000.0572 – 3240790039.0625 (mean 105765124.4893) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-08 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `year` | 1960.0 | 2024.0 | 1996.2941 | 1998.0 |
| `value` | -4190000.0572 | 3240790039.0625 | 105765124.4893 | 3184680.3427 |

---

## 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 World Bank Group 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/world-bank-aid-effectiveness-indicators-for-federal-republic-of-somalia) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_world_bank_aid_effectiveness_indicators_for_federal_republic_of_somalia,
title = {Federal Republic of Somalia - Aid Effectiveness},
author = {World Bank Group},
year = {2025},
url = {https://data.humdata.org/dataset/world-bank-aid-effectiveness-indicators-for-federal-republic-of-somalia},
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:
- 知识共享署名4.0（CC-BY-4.0）
multilinguality:
- 单语言
size_categories:
- 1000 < 样本数 < 10000
source_datasets:
- 原生自建数据集
task_categories:
- 表格分类
task_ids:
- 无
tags:
- 非洲
- 人道主义
- 人道主义数据交换平台（HDX）
- Electric Sheep Africa
- 援助有效性
- HXL
- 指标
- 索马里（SOM）
pretty_name: "索马里联邦共和国——援助有效性"
dataset_info:
splits:
- name: 训练集
num_examples: 1815
- name: 测试集
num_examples: 453

---

# 索马里联邦共和国——援助有效性

**发布方**：世界银行集团 · **来源**：[人道主义数据交换平台（HDX）](https://data.humdata.org/dataset/world-bank-aid-effectiveness-indicators-for-federal-republic-of-somalia) · **许可协议**：`知识共享署名（CC-BY）` · **最后更新时间**：2025-11-04

---

## 摘要

本数据集包含来自世界银行[数据门户](http://data.worldbank.org/)的相关数据。人道主义数据交换平台（HDX）上还提供了一份整合后的国家数据集：[索马里联邦共和国世界银行综合指标数据集](https://data.humdata.org/dataset/world-bank-combined-indicators-for-federal-republic-of-somalia)。

援助有效性指援助在减少贫困与不平等、促进经济增长、提升能力建设以及加速实现国际社会设定的千年发展目标中所产生的影响。本数据集收录的指标涵盖受援情况以及减贫、教育、卫生和其他人类福祉维度的进展数据。

数据集中每一行均代表国家级汇总统计值。该数据在HDX平台的最后更新时间为2025-11-04。地理覆盖范围：**索马里（SOM）**。

*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

| | |
|---|---|
| **领域** | 公共卫生 |
| **观测单元** | 国家级汇总统计值 |
| **总数据行数** | 2269 |
| **列数** | 8（2个数值型、6个分类型、0个日期时间型） |
| **训练集划分** | 1815行 |
| **测试集划分** | 453行 |
| **地理覆盖范围** | SOM（索马里） |
| **发布方** | 世界银行集团 |
| **HDX平台最后更新时间** | 2025-11-04 |

---

## 变量

**地理类变量** — `country_name`（联邦共和国索马里，#country+name）、`country_iso3`（SOM，#country+代码）、`year`（取值范围1960.0–2024.0）。
**结果/测量类变量** — `value`（取值范围-4190000.0572–3240790039.0625）。
**标识符/元数据类变量** — `indicator_name`（净移民、发展援助委员会捐赠方双边援助净流入、欧盟机构（现价美元）、发展援助委员会捐赠方双边援助净流入、意大利（现价美元））、`indicator_code`（SM.POP.NETM、DC.DAC.CECL.CD、DC.DAC.ITAL.CD）、`esa_source`（HDX）、`esa_processed`（2026-04-08）。

---

## 快速上手

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-aid-effectiveness-indicators-for-federal-republic-of-somalia")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

print(train.shape)
train.head()

---

## 数据结构

| 列名 | 数据类型 | 空值占比 | 取值范围/示例值 |
|---|---|---|---|
| `country_name` | 对象型 | 0.0% | 联邦共和国索马里，#country+name |
| `country_iso3` | 对象型 | 0.0% | SOM，#country+代码 |
| `year` | float64型 | 0.0% | 1960.0 – 2024.0（均值1996.2941） |
| `indicator_name` | 对象型 | 0.0% | 净移民、发展援助委员会捐赠方双边援助净流入、欧盟机构（现价美元）、发展援助委员会捐赠方双边援助净流入、意大利（现价美元） |
| `indicator_code` | 对象型 | 0.0% | SM.POP.NETM、DC.DAC.CECL.CD、DC.DAC.ITAL.CD |
| `value` | float64型 | 0.0% | -4190000.0572 – 3240790039.0625（均值105765124.4893） |
| `esa_source` | 对象型 | 0.0% | HDX |
| `esa_processed` | 对象型 | 0.0% | 2026-04-08 |

---

## 数值型变量统计摘要

| 列名 | 最小值 | 最大值 | 均值 | 中位数 |
|---|---|---|---|---|
| `year` | 1960.0 | 2024.0 | 1996.2941 | 1998.0 |
| `value` | -4190000.0572 | 3240790039.0625 | 105765124.4893 | 3184680.3427 |

---

## 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。列名被统一转换为小写并标准化为蛇形命名法。常见的缺失值标记（`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）按照80/20的比例划分为训练集与测试集，并保存为Snappy压缩的Parquet格式文件。

---

## 数据集局限性

- 数据源自世界银行集团，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阶段的错报值、定义不一致或抽样偏差问题。
- 请参阅[原始HDX数据集页面](https://data.humdata.org/dataset/world-bank-aid-effectiveness-indicators-for-federal-republic-of-somalia)获取发布方提供的官方方法论说明与免责声明。

---

## 引用格式

bibtex
@dataset{hdx_africa_world_bank_aid_effectiveness_indicators_for_federal_republic_of_somalia,
title = {Federal Republic of Somalia - Aid Effectiveness},
author = {World Bank Group},
year = {2025},
url = {https://data.humdata.org/dataset/world-bank-aid-effectiveness-indicators-for-federal-republic-of-somalia},
note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

---

*[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。*