electricsheepafrica/africa-aid-flows-rwanda

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: other
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- tabular-classification
- tabular-regression
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- funding
- who-is-doing-what-and-where-3w-4w-5w
- rwa
pretty_name: "Rwanda - Current IATI Aid Activities"
dataset_info:
splits:
- name: train
num_examples: 10306
- name: test
num_examples: 2576
---

# Rwanda - Current IATI Aid Activities

**Publisher:** International Aid Transparency Initiative · **Source:** [HDX](https://data.humdata.org/dataset/iati-rwa) · **License:** `hdx-other` · **Updated:** 2026-04-24

---

## Abstract

List of active aid activities shared via the International Aid Transparency Initiative (IATI). Includes both humanitarian and development activities. More information on each activity (including financial data) is available from [http://www.d-portal.org](http://www.d-portal.org)

Each row in this dataset represents country-level aggregates. Temporal coverage is indicated by the `day_start`, `day_end` column(s). Geographic scope: **RWA**.

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

---

## Dataset Characteristics

| | |
|---|---|
| **Domain** | Humanitarian and development data |
| **Unit of observation** | Country-level aggregates |
| **Rows (total)** | 12,883 |
| **Columns** | 27 (12 numeric, 13 categorical, 2 datetime) |
| **Train split** | 10,306 rows |
| **Test split** | 2,576 rows |
| **Geographic scope** | RWA |
| **Publisher** | International Aid Transparency Initiative |
| **HDX last updated** | 2026-04-24 |

---

## Variables

**Geographic** — `day_start`, `day_end`, `day_length` (range 0.0–28853.0), `country_code`, `country_percent` (range 0.0–100.0).

**Outcome / Measurement** — `sector_percent` (range 0.0–100.0).

**Identifier / Metadata** — `aid` (http://d-portal.org/q.html?aid=NL-KVK-27378529-4000002092, http://d-portal.org/q.html?aid=NL-KVK-27378529-26067, http://d-portal.org/q.html?aid=NL-KVK-27378529-28385), `reporting_ref` (US-GOV-1, SE-0, NL-KVK-27378529), `funder_ref` (US-GOV-1, SE, NL-KVK-27378529), `title` (USAID redacted this field in accordance with the exceptions outlined in the Foreign Aid Transparency and Accountability Act of 2016., USAID Travel and Transportation, USAID Miscellaneous Goods, Services, and Operations Maintanence), `status_code` (Implementation, Finalisation, Closed) and 3 others.

**Other** — `reporting` (U.S. Agency for International Development, Sweden, Netherlands Enterprise Agency), `slug` (rvo-01, who-rwa, usaid-rw), `description` (This program supports the Mission's goal for an independent, prosperous, and healthy Ukraine united around core European values in one or more of the following sectors: strengthening of democratic governance, and more inclusive, sustainable, market-driven economic growth., Administrative costs and operating expenses of USAID contributing to Travel and Transportation., Administrative costs and operating expenses of USAID contributing to Miscellaneous Goods, Services, and Operations Maintanence.), `commitment` (range -149119460.0–6789381600.0), `spend` (range -3790907.0–5922666500.0) and 8 others.

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-aid-flows-rwanda")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

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

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `aid` | object | 0.0% | http://d-portal.org/q.html?aid=NL-KVK-27378529-4000002092, http://d-portal.org/q.html?aid=NL-KVK-27378529-26067, http://d-portal.org/q.html?aid=NL-KVK-27378529-28385 |
| `reporting` | object | 0.0% | U.S. Agency for International Development, Sweden, Netherlands Enterprise Agency |
| `reporting_ref` | object | 0.0% | US-GOV-1, SE-0, NL-KVK-27378529 |
| `funder_ref` | object | 0.0% | US-GOV-1, SE, NL-KVK-27378529 |
| `title` | object | 0.0% | USAID redacted this field in accordance with the exceptions outlined in the Foreign Aid Transparency and Accountability Act of 2016., USAID Travel and Transportation, USAID Miscellaneous Goods, Services, and Operations Maintanence |
| `slug` | object | 0.0% | rvo-01, who-rwa, usaid-rw |
| `status_code` | object | 0.0% | Implementation, Finalisation, Closed |
| `day_start` | datetime64[ns] | 0.0% | |
| `day_end` | datetime64[ns] | 0.0% | |
| `day_length` | float64 | 0.0% | 0.0 – 28853.0 (mean 1485.6949) |
| `description` | object | 0.3% | This program supports the Mission's goal for an independent, prosperous, and healthy Ukraine united around core European values in one or more of the following sectors: strengthening of democratic governance, and more inclusive, sustainable, market-driven economic growth., Administrative costs and operating expenses of USAID contributing to Travel and Transportation., Administrative costs and operating expenses of USAID contributing to Miscellaneous Goods, Services, and Operations Maintanence. |
| `commitment` | float64 | 0.0% | -149119460.0 – 6789381600.0 (mean 34973105.798) |
| `spend` | float64 | 0.0% | -3790907.0 – 5922666500.0 (mean 31923319.5636) |
| `commitment_eur` | float64 | 0.0% | -136698910.0 – 6054103000.0 (mean 30989393.664) |
| `spend_eur` | float64 | 0.0% | -3485514.2 – 5275019300.0 (mean 28285384.1745) |
| `commitment_gbp` | float64 | 0.0% | -117766950.0 – 5257404000.0 (mean 26565127.7191) |
| `spend_gbp` | float64 | 0.0% | -2530255.5 – 4592923600.0 (mean 24249353.579) |
| `commitment_cad` | float64 | 0.0% | -195267460.0 – 9021294000.0 (mean 45656781.6441) |
| `spend_cad` | float64 | 0.0% | -5198398.0 – 7843841000.0 (mean 41758444.8268) |
| `flags` | int64 | 0.0% | 0.0 – 0.0 (mean 0.0) |
| `sector_group` | object | 1.7% | Government & Civil Society-general, Agriculture, Basic Health |
| `sector_code` | object | 4.8% | Administrative costs (non-sector allocable), Democratic participation and civil society, STD control including HIV/AIDS |
| `sector_percent` | float64 | 1.6% | 0.0 – 100.0 (mean 43.7648) |
| `country_code` | object | 0.0% | |
| `country_percent` | float64 | 0.0% | 0.0 – 100.0 (mean 47.6449) |
| `esa_source` | object | 0.0% | |
| `esa_processed` | object | 0.0% | |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `day_length` | 0.0 | 28853.0 | 1485.6949 | 1095.0 |
| `commitment` | -149119460.0 | 6789381600.0 | 34973105.798 | 596963.5 |
| `spend` | -3790907.0 | 5922666500.0 | 31923319.5636 | 626695.0 |
| `commitment_eur` | -136698910.0 | 6054103000.0 | 30989393.664 | 522399.1 |
| `spend_eur` | -3485514.2 | 5275019300.0 | 28285384.1745 | 572320.56 |
| `commitment_gbp` | -117766950.0 | 5257404000.0 | 26565127.7191 | 449298.22 |
| `spend_gbp` | -2530255.5 | 4592923600.0 | 24249353.579 | 488700.8 |
| `commitment_cad` | -195267460.0 | 9021294000.0 | 45656781.6441 | 780321.2 |
| `spend_cad` | -5198398.0 | 7843841000.0 | 41758444.8268 | 848154.6 |
| `flags` | 0.0 | 0.0 | 0.0 | 0.0 |
| `sector_percent` | 0.0 | 100.0 | 43.7648 | 30.0 |
| `country_percent` | 0.0 | 100.0 | 47.6449 | 16.67 |

---

## 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`. 8 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 International Aid Transparency Initiative 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/iati-rwa) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_aid_flows_rwanda,
title = {Rwanda - Current IATI Aid Activities},
author = {International Aid Transparency Initiative},
year = {2026},
url = {https://data.humdata.org/dataset/iati-rwa},
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.*