electricsheepafrica/africa-world-bank-aid-effectiveness-indicators-for-guinea

---
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
- indicators
- gin
pretty_name: "Guinea - Aid Effectiveness"
dataset_info:
splits:
- name: train
num_examples: 1860
- name: test
num_examples: 465
---

# Guinea - Aid Effectiveness

**Publisher:** World Bank Group · **Source:** [HDX](https://data.humdata.org/dataset/world-bank-aid-effectiveness-indicators-for-guinea) · **License:** `cc-by` · **Updated:** 2026-03-27

---

## 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-guinea) 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 2026-03-27. Geographic scope: **GIN**.

*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)** | 2,326 |
| **Columns** | 8 (2 numeric, 6 categorical, 0 datetime) |
| **Train split** | 1,860 rows |
| **Test split** | 465 rows |
| **Geographic scope** | GIN |
| **Publisher** | World Bank Group |
| **HDX last updated** | 2026-03-27 |

---

## Variables

**Geographic** — `country_name` (Guinea), `country_iso3` (GIN), `year` (range 1960.0–2025.0).

**Outcome / Measurement** — `value` (range -4300000.1907–783335754.3945).

**Identifier / Metadata** — `indicator_name` (Net migration, Net bilateral aid flows from DAC donors, Total (current US$), Mortality rate, under-5 (per 1,000 live births)), `indicator_code` (SM.POP.NETM, DC.DAC.TOTL.CD, SH.DYN.MORT), `esa_source` (HDX), `esa_processed` (2026-04-09).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-aid-effectiveness-indicators-for-guinea")
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% | Guinea |
| `country_iso3` | object | 0.0% | GIN |
| `year` | int64 | 0.0% | 1960.0 – 2025.0 (mean 1997.6101) |
| `indicator_name` | object | 0.0% | Net migration, Net bilateral aid flows from DAC donors, Total (current US$), Mortality rate, under-5 (per 1,000 live births) |
| `indicator_code` | object | 0.0% | SM.POP.NETM, DC.DAC.TOTL.CD, SH.DYN.MORT |
| `value` | float64 | 0.0% | -4300000.1907 – 783335754.3945 (mean 44223089.523) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-09 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `year` | 1960.0 | 2025.0 | 1997.6101 | 1999.0 |
| `value` | -4300000.1907 | 783335754.3945 | 44223089.523 | 920000.0167 |

---

## 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`. 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-guinea) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_world_bank_aid_effectiveness_indicators_for_guinea,
title = {Guinea - Aid Effectiveness},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-aid-effectiveness-indicators-for-guinea},
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:
- 现有资源采集
language:
- 英语
license: cc-by-4.0
multilinguality:
- 单语言
size_categories:
- 1000 < 样本数 < 10000
source_datasets:
- 原生数据集
task_categories:
- 表格分类
task_ids:
- 无
tags:
- 非洲
- 人道主义
- HDX（人道主义数据交换平台，Humanitarian Data Exchange）
- Electric Sheep Africa
- 援助有效性
- 指标
- GIN（几内亚ISO 3166-1 α3国家代码）
pretty_name: "几内亚 - 援助有效性"
dataset_info:
splits:
- name: train
num_examples: 1860
- name: test
num_examples: 465
---

# 几内亚 - 援助有效性

**发布方**：世界银行集团 · **来源**：[HDX（人道主义数据交换平台）](https://data.humdata.org/dataset/world-bank-aid-effectiveness-indicators-for-guinea) · **许可协议**：`cc-by` · **更新时间**：2026-03-27

---

## 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。HDX平台上还提供了[整合版国家数据集](https://data.humdata.org/dataset/world-bank-combined-indicators-for-guinea)。

援助有效性指的是外援在减少贫困与不平等、促进经济增长、提升建设能力以及加速实现国际社会制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了受援情况，以及减贫、教育、医疗和其他人类福祉相关指标的进展情况。

本数据集的每一行均代表国家级汇总数据。该数据集在HDX平台的最后更新时间为2026-03-27。地理覆盖范围：**GIN（几内亚ISO 3166-1 α3国家代码）**。

*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** | 国家级汇总数据 |
| **总样本行数** | 2326 |
| **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** | 1860行 |
| **测试集划分** | 465行 |
| **地理覆盖范围** | GIN |
| **发布方** | 世界银行集团 |
| **HDX平台最后更新时间** | 2026-03-27 |

---

## 变量

**地理类变量** — `country_name`（国家名称：几内亚）、`country_iso3`（国家ISO3代码：GIN）、`year`（年份范围：1960.0–2025.0）。

**结果/测量类变量** — `value`（指标数值范围：-4300000.1907–783335754.3945）。

**标识符/元数据类变量** — `indicator_name`（指标名称：净移民、发展援助委员会捐赠方的双边援助流动总额（现价美元）、5岁以下死亡率（每1000活产儿））、`indicator_code`（指标代码：SM.POP.NETM、DC.DAC.TOTL.CD、SH.DYN.MORT）、`esa_source`（数据来源：HDX）、`esa_processed`（数据处理时间：2026-04-09）。

---

## 快速入门

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-aid-effectiveness-indicators-for-guinea")
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` | 字符型 | 0.0% | 几内亚 |
| `country_iso3` | 字符型 | 0.0% | GIN |
| `year` | 64位整型 | 0.0% | 1960.0 – 2025.0（均值：1997.6101） |
| `indicator_name` | 字符型 | 0.0% | 净移民、发展援助委员会捐赠方的双边援助流动总额（现价美元）、5岁以下死亡率（每1000活产儿） |
| `indicator_code` | 字符型 | 0.0% | SM.POP.NETM、DC.DAC.TOTL.CD、SH.DYN.MORT |
| `value` | 64位浮点型 | 0.0% | -4300000.1907 – 783335754.3945（均值：44223089.523） |
| `esa_source` | 字符型 | 0.0% | HDX |
| `esa_processed` | 字符型 | 0.0% | 2026-04-09 |

---

## 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 | 2025.0 | 1997.6101 | 1999.0 |
| `value` | -4300000.1907 | 783335754.3945 | 44223089.523 | 920000.0167 |

---

## 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。列名统一转换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`。本数据集以固定随机种子（42）按80/20的比例划分为训练集与测试集，并以Snappy压缩格式保存为Parquet文件。

---

## 数据集局限性

- 本数据集源自世界银行集团，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集中的错报值、定义不一致或采样偏差问题。
- 如需查看发布方的官方方法说明与免责声明，请参阅[HDX平台原始数据集页面](https://data.humdata.org/dataset/world-bank-aid-effectiveness-indicators-for-guinea)。

---

## 引用格式

bibtex
@dataset{hdx_africa_world_bank_aid_effectiveness_indicators_for_guinea,
title = {Guinea - Aid Effectiveness},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-aid-effectiveness-indicators-for-guinea},
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。*