electricsheepafrica/africa-world-bank-external-debt-indicators-for-eritrea

---
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-regression
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- economics
- indicators
- eri
pretty_name: "Eritrea - External Debt"
dataset_info:
splits:
- name: train
num_examples: 816
- name: test
num_examples: 204
---

# Eritrea - External Debt

**Publisher:** World Bank Group · **Source:** [HDX](https://data.humdata.org/dataset/world-bank-external-debt-indicators-for-eritrea) · **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-eritrea) on HDX.

Debt statistics provide a detailed picture of debt stocks and flows of developing countries. Data presented as part of the Quarterly External Debt Statistics takes a closer look at the external debt of high-income countries and emerging markets to enable a more complete understanding of global financial flows. The Quarterly Public Sector Debt database provides further data on public sector valuation methods, debt instruments, and clearly defined tiers of debt for central, state and local government, as well as extra-budgetary agencies and funds. Data are gathered from national statistical organizations and central banks as well as by various major multilateral institutions and World Bank staff.

Each row in this dataset represents country-level aggregates. Data was last updated on HDX on 2026-03-27. Geographic scope: **ERI**.

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

---

## Dataset Characteristics

| | |
|---|---|
| **Domain** | Market and price monitoring |
| **Unit of observation** | Country-level aggregates |
| **Rows (total)** | 1,021 |
| **Columns** | 8 (2 numeric, 6 categorical, 0 datetime) |
| **Train split** | 816 rows |
| **Test split** | 204 rows |
| **Geographic scope** | ERI |
| **Publisher** | World Bank Group |
| **HDX last updated** | 2026-03-27 |

---

## Variables

**Geographic** — `country_name` (Eritrea), `country_iso3` (ERI), `year` (range 1971.0–2024.0).

**Outcome / Measurement** — `value` (range -292743488.8954–2041455160.9756).

**Identifier / Metadata** — `indicator_name` (Net official development assistance received (current US$), Grants, excluding technical cooperation (BoP, current US$), Net ODA received per capita (current US$)), `indicator_code` (DT.ODA.ODAT.CD, BX.GRT.EXTA.CD.WD, DT.ODA.ODAT.PC.ZS), `esa_source` (HDX), `esa_processed` (2026-04-16).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-external-debt-indicators-for-eritrea")
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% | Eritrea |
| `country_iso3` | object | 0.0% | ERI |
| `year` | int64 | 0.0% | 1971.0 – 2024.0 (mean 2006.4652) |
| `indicator_name` | object | 0.0% | Net official development assistance received (current US$), Grants, excluding technical cooperation (BoP, current US$), Net ODA received per capita (current US$) |
| `indicator_code` | object | 0.0% | DT.ODA.ODAT.CD, BX.GRT.EXTA.CD.WD, DT.ODA.ODAT.PC.ZS |
| `value` | float64 | 0.0% | -292743488.8954 – 2041455160.9756 (mean 117045207.3485) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-16 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `year` | 1971.0 | 2024.0 | 2006.4652 | 2006.0 |
| `value` | -292743488.8954 | 2041455160.9756 | 117045207.3485 | 5379000.0 |

---

## 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`. 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-external-debt-indicators-for-eritrea) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_world_bank_external_debt_indicators_for_eritrea,
title = {Eritrea - External Debt},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-external-debt-indicators-for-eritrea},
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:
- 采集自现有资源
language:
- 英语
license: CC-BY 4.0
multilinguality:
- 单语种
size_categories:
- 1000 < 样本数 < 10000
source_datasets:
- 原创数据集
task_categories:
- 表格回归任务
task_ids: []
tags:
- 非洲
- 人道主义
- 人道主义数据交换平台（Humanitarian Data Exchange，简称HDX）
- Electric Sheep Africa
- 经济学
- 指标
- ERI（厄立特里亚ISO3代码）
pretty_name: "厄立特里亚 - 外债"
dataset_info:
splits:
- name: train
num_examples: 816
- name: test
num_examples: 204

# 厄立特里亚 - 外债

**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-external-debt-indicators-for-eritrea) · 许可证：`cc-by` · 最后更新：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平台上还提供了一份[合并后的国家数据集](https://data.humdata.org/dataset/world-bank-combined-indicators-for-eritrea)。

外债统计数据能够详细展现发展中国家的债务存量与流量情况。本次季度外债统计所呈现的数据，将聚焦高收入国家与新兴市场的外债状况，助力更全面地理解全球金融流动。季度公共部门债务数据库则进一步提供了公共部门估值方法、债务工具，以及中央、州和地方政府，乃至预算外机构与基金的明确债务层级相关数据。数据来源于各国统计机构、中央银行、各类主要多边机构以及世界银行工作人员。

本数据集的每一行均代表国家层面的汇总数据。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：**ERI（厄立特里亚ISO3代码）**。

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

---

## 数据集特征

| | |
|---|---|
| **领域** | 市场与价格监测 |
| **观测单元** | 国家层面汇总数据 |
| **总行数** | 1021 |
| **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** | 816条记录 |
| **测试集划分** | 204条记录 |
| **地理覆盖范围** | ERI |
| **发布方** | 世界银行集团 |
| **HDX最后更新时间** | 2026-03-27 |

---

## 变量

**地理类变量** — `country_name`（国家名称：厄立特里亚）、`country_iso3`（国家ISO3代码：ERI）、`year`（年份：取值范围1971.0–2024.0）。
**结果/测量类变量** — `value`（数值：取值范围-292743488.8954–2041455160.9756）。
**标识符/元数据类变量** — `indicator_name`（指标名称：官方发展援助净收入（当前美元）、剔除技术合作后的赠款（国际收支平衡表，当前美元）、人均官方发展援助净收入（当前美元））、`indicator_code`（指标代码：DT.ODA.ODAT.CD、BX.GRT.EXTA.CD.WD、DT.ODA.ODAT.PC.ZS）、`esa_source`（数据来源：HDX）、`esa_processed`（数据处理时间：2026-04-16）。

---

## 快速上手

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-external-debt-indicators-for-eritrea")
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 | 缺失率 | 取值范围/示例值 |
|---|---|---|---|
| `country_name` | 字符串型（object） | 0.0% | 厄立特里亚 |
| `country_iso3` | 字符串型（object） | 0.0% | ERI |
| `year` | 64位整型（int64） | 0.0% | 1971.0 – 2024.0（均值2006.4652） |
| `indicator_name` | 字符串型（object） | 0.0% | 官方发展援助净收入（当前美元）、剔除技术合作后的赠款（国际收支平衡表，当前美元）、人均官方发展援助净收入（当前美元） |
| `indicator_code` | 字符串型（object） | 0.0% | DT.ODA.ODAT.CD、BX.GRT.EXTA.CD.WD、DT.ODA.ODAT.PC.ZS |
| `value` | 64位浮点型（float64） | 0.0% | -292743488.8954 – 2041455160.9756（均值117045207.3485） |
| `esa_source` | 字符串型（object） | 0.0% | HDX |
| `esa_processed` | 字符串型（object） | 0.0% | 2026-04-16 |

---

## 数值型变量统计摘要

| 列名 | 最小值 | 最大值 | 均值 | 中位数 |
|---|---|---|---|---|
| `year` | 1971.0 | 2024.0 | 2006.4652 | 2006.0 |
| `value` | -292743488.8954 | 2041455160.9756 | 117045207.3485 | 5379000.0 |

---

## 数据整理流程

原始数据通过CKAN应用程序编程接口（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标准化为蛇形命名法。将常见的缺失值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）统一替换为`NaN`。采用固定随机种子（42）将数据集按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

- 数据源自世界银行集团，尚未由Electric Sheep Africa进行独立验证。
- 自动化清洗流程无法修正原始数据收集阶段的错报值、定义不一致问题或抽样偏差。
- 如需查看发布方的方法说明与免责声明，请参阅[原始HDX数据集页面](https://data.humdata.org/dataset/world-bank-external-debt-indicators-for-eritrea)。

---

## 引用

bibtex
@dataset{hdx_africa_world_bank_external_debt_indicators_for_eritrea,
title = {Eritrea - External Debt},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-external-debt-indicators-for-eritrea},
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。*