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

---
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
- tcd
pretty_name: "Chad - External Debt"
dataset_info:
splits:
- name: train
num_examples: 1777
- name: test
num_examples: 444
---

# Chad - External Debt

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

*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)** | 2,222 |
| **Columns** | 8 (2 numeric, 6 categorical, 0 datetime) |
| **Train split** | 1,777 rows |
| **Test split** | 444 rows |
| **Geographic scope** | TCD |
| **Publisher** | World Bank Group |
| **HDX last updated** | 2026-03-27 |

---

## Variables

**Geographic** — `country_name` (Chad), `country_iso3` (TCD), `year` (range 1960.0–2024.0).

**Outcome / Measurement** — `value` (range -675545920.0–19307611603.1826).

**Identifier / Metadata** — `indicator_name` (GNI (current US$), Grants, excluding technical cooperation (BoP, current US$), Technical cooperation grants (BoP, current US$)), `indicator_code` (NY.GNP.MKTP.CD, BX.GRT.EXTA.CD.WD, BX.GRT.TECH.CD.WD), `esa_source` (HDX), `esa_processed` (2026-04-15).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-external-debt-indicators-for-chad")
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% | Chad |
| `country_iso3` | object | 0.0% | TCD |
| `year` | int64 | 0.0% | 1960.0 – 2024.0 (mean 1995.5666) |
| `indicator_name` | object | 0.0% | GNI (current US$), Grants, excluding technical cooperation (BoP, current US$), Technical cooperation grants (BoP, current US$) |
| `indicator_code` | object | 0.0% | NY.GNP.MKTP.CD, BX.GRT.EXTA.CD.WD, BX.GRT.TECH.CD.WD |
| `value` | float64 | 0.0% | -675545920.0 – 19307611603.1826 (mean 303341381.1162) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-15 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `year` | 1960.0 | 2024.0 | 1995.5666 | 1994.5 |
| `value` | -675545920.0 | 19307611603.1826 | 303341381.1162 | 5650912.4 |

---

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

---

## Citation

```bibtex
@dataset{hdx_africa_world_bank_external_debt_indicators_for_chad,
title = {Chad - External Debt},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-external-debt-indicators-for-chad},
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:
- 公开获取
language:
- en
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 regression
task_ids: []
tags:
- 非洲
- 人道主义
- HDX
- electric-sheep-africa
- 经济学
- 指标
- TCD
pretty_name: "乍得-外债"
dataset_info:
splits:
- name: train
num_examples: 1777
- name: test
num_examples: 444
---

# 乍得-外债数据集

**发布方：世界银行集团 · **来源：[HDX](https://data.humdata.org/dataset/world-bank-external-debt-indicators-for-chad) · **许可证：`cc-by` · **最后更新：2026-03-27

---

## 摘要

本数据集数据源自世界银行[官方数据门户](http://data.worldbank.org/)，HDX平台上另有一份[乍得综合国家指标数据集](https://data.humdata.org/dataset/world-bank-combined-indicators-for-chad)可供获取。

外债统计数据可详细展现发展中国家的债务存量与流量情况。作为季度外债统计的组成部分，本数据集聚焦高收入国家与新兴市场的外债状况，以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提供了更多关于公共部门估值方法、债务工具的相关数据，并明确划分了中央、州/省及地方政府，以及预算外机构与基金的债务层级。本数据集的数据采集自各国统计机构、中央银行，以及多家主要多边机构与世界银行工作人员。

本数据集每一行均代表国家层面的汇总数据。数据最后于2026-03-27在HDX平台更新。地理覆盖范围：**TCD（乍得）**。

*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** | 市场与价格监测 |
| **观测单元** | 国家层面汇总数据 |
| **总样本行数** | 2,222 |
| **列数** | 8 (2列数值型，6列分类型，0列日期时间型) |
| **训练集划分** | 1,777行 |
| **测试集划分** | 444行 |
| **地理覆盖范围** | TCD（乍得） |
| **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：乍得）、`country_iso3`（国家ISO3代码：TCD）、`year`（年份范围：1960.0–2024.0）。

**结果/测量类变量** — `value`（数值范围：-675545920.0–19307611603.1826）。

**标识符/元数据类变量** — `indicator_name`（指标名称：国民总收入（现价美元）、剔除技术合作后的赠款（国际收支平衡表，现价美元）、技术合作赠款（国际收支平衡表，现价美元））、`indicator_code`（指标代码：NY.GNP.MKTP.CD、BX.GRT.EXTA.CD.WD、BX.GRT.TECH.CD.WD）、`esa_source`（数据来源：HDX）、`esa_processed`（数据处理时间：2026-04-15）。

---

## 快速上手

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-external-debt-indicators-for-chad")
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 | 范围/示例值 |
|---|---|---|---|
| `country_name` | 字符串 | 0.0% | 乍得 |
| `country_iso3` | 字符串 | 0.0% | TCD |
| `year` | 64位整数 | 0.0% | 1960.0 – 2024.0（均值：1995.5666） |
| `indicator_name` | 字符串 | 0.0% | 国民总收入（现价美元）、剔除技术合作后的赠款（国际收支平衡表，现价美元）、技术合作赠款（国际收支平衡表，现价美元） |
| `indicator_code` | 字符串 | 0.0% | NY.GNP.MKTP.CD、BX.GRT.EXTA.CD.WD、BX.GRT.TECH.CD.WD |
| `value` | 64位浮点数 | 0.0% | -675545920.0 – 19307611603.1826（均值：303341381.1162） |
| `esa_source` | 字符串 | 0.0% | HDX |
| `esa_processed` | 字符串 | 0.0% | 2026-04-15 |

---

## 数值统计摘要

| 列名 | 最小值 | 最大值 | 均值 | 中位数 |
|---|---|---|---|---|
| `year` | 1960.0 | 2024.0 | 1995.5666 | 1994.5 |
| `value` | -675545920.0 | 19307611603.1826 | 303341381.1162 | 5650912.4 |

---

## 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。列名均转换为小写并统一为蛇形命名法。常见缺失值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）均被统一替换为`NaN`。本数据集以80/20的比例划分为训练集与测试集，划分时使用固定随机种子（42），并以Snappy压缩的Parquet格式存储。

---

## 局限性

- 本数据集数据源自世界银行集团，未由Electric Sheep Africa（ESA）进行独立验证。
- 自动化数据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。
- 如需了解发布方提供的方法说明与注意事项，请参阅[HDX平台原始数据集页面](https://data.humdata.org/dataset/world-bank-external-debt-indicators-for-chad)。

---

## 引用格式

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