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electricsheepafrica/africa-aid-flows-namibia

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Hugging Face2026-04-26 更新2026-05-03 收录
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--- annotations_creators: - no-annotation language_creators: - found language: - en license: other multilinguality: - monolingual size_categories: - 1K<n<10K 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 - nam pretty_name: "Namibia - Current IATI Aid Activities" dataset_info: splits: - name: train num_examples: 5563 - name: test num_examples: 1390 --- # Namibia - Current IATI Aid Activities **Publisher:** International Aid Transparency Initiative · **Source:** [HDX](https://data.humdata.org/dataset/iati-nam) · **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: **NAM**. *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)** | 6,954 | | **Columns** | 27 (12 numeric, 13 categorical, 2 datetime) | | **Train split** | 5,563 rows | | **Test split** | 1,390 rows | | **Geographic scope** | NAM | | **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=AU-5-INO718, http://d-portal.org/q.html?aid=AU-5-INO326, http://d-portal.org/q.html?aid=NL-KVK-27378529-4000006398), `reporting_ref` (US-GOV-1, SE-0, XM-DAC-928), `funder_ref` (US-GOV-1, SE, XM-DAC-928), `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 Advisory and Assistance Services), `status_code` (Finalisation, Implementation, Closed) and 3 others. **Other** — `reporting` (U.S. Agency for International Development, Sweden, World Health Organization), `slug` (who-nam, usaid-multiple-14, usaid-multiple-countries-21), `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 Advisory and Assistance Services.), `commitment` (range -2943064.0–6789381600.0), `spend` (range -1110568.0–5922666500.0) and 8 others. --- ## Quick Start ```python from datasets import load_dataset ds = load_dataset("electricsheepafrica/africa-aid-flows-namibia") 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=AU-5-INO718, http://d-portal.org/q.html?aid=AU-5-INO326, http://d-portal.org/q.html?aid=NL-KVK-27378529-4000006398 | | `reporting` | object | 0.0% | U.S. Agency for International Development, Sweden, World Health Organization | | `reporting_ref` | object | 0.0% | US-GOV-1, SE-0, XM-DAC-928 | | `funder_ref` | object | 0.0% | US-GOV-1, SE, XM-DAC-928 | | `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 Advisory and Assistance Services | | `slug` | object | 0.0% | who-nam, usaid-multiple-14, usaid-multiple-countries-21 | | `status_code` | object | 0.0% | Finalisation, Implementation, Closed | | `day_start` | datetime64[ns] | 0.0% | | | `day_end` | datetime64[ns] | 0.0% | | | `day_length` | int64 | 0.0% | 0.0 – 28853.0 (mean 1128.7819) | | `description` | object | 0.2% | 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 Advisory and Assistance Services. | | `commitment` | float64 | 0.0% | -2943064.0 – 6789381600.0 (mean 42313801.9744) | | `spend` | float64 | 0.0% | -1110568.0 – 5922666500.0 (mean 38002775.7998) | | `commitment_eur` | float64 | 0.0% | -2597340.5 – 6054103000.0 (mean 37573608.3543) | | `spend_eur` | float64 | 0.0% | -947460.4 – 5275019300.0 (mean 33744016.6709) | | `commitment_gbp` | float64 | 0.0% | -1964489.8 – 5257404000.0 (mean 32260328.7937) | | `spend_gbp` | float64 | 0.0% | -790094.56 – 4592923600.0 (mean 29045124.181) | | `commitment_cad` | float64 | 0.0% | -3857629.2 – 9021294000.0 (mean 55681526.8253) | | `spend_cad` | float64 | 0.0% | -1369726.9 – 7843841000.0 (mean 49934904.0022) | | `flags` | int64 | 0.0% | 0.0 – 0.0 (mean 0.0) | | `sector_group` | object | 1.2% | Population Policies/Programmes & Reproductive Health, Basic Health, Government & Civil Society-general | | `sector_code` | object | 3.2% | STD control including HIV/AIDS, Administrative costs (non-sector allocable), Infectious disease control | | `sector_percent` | float64 | 1.2% | 0.0 – 100.0 (mean 33.1417) | | `country_code` | object | 0.0% | | | `country_percent` | float64 | 0.0% | 0.0 – 100.0 (mean 31.8262) | | `esa_source` | object | 0.0% | | | `esa_processed` | object | 0.0% | | --- ## Numeric Summary | Column | Min | Max | Mean | Median | |---|---|---|---|---| | `day_length` | 0.0 | 28853.0 | 1128.7819 | 365.0 | | `commitment` | -2943064.0 | 6789381600.0 | 42313801.9744 | 1418447.55 | | `spend` | -1110568.0 | 5922666500.0 | 38002775.7998 | 1435955.0 | | `commitment_eur` | -2597340.5 | 6054103000.0 | 37573608.3543 | 1315492.4 | | `spend_eur` | -947460.4 | 5275019300.0 | 33744016.6709 | 1352327.4 | | `commitment_gbp` | -1964489.8 | 5257404000.0 | 32260328.7937 | 1124724.25 | | `spend_gbp` | -790094.56 | 4592923600.0 | 29045124.181 | 1162511.0 | | `commitment_cad` | -3857629.2 | 9021294000.0 | 55681526.8253 | 1826156.5 | | `spend_cad` | -1369726.9 | 7843841000.0 | 49934904.0022 | 1941934.5 | | `flags` | 0.0 | 0.0 | 0.0 | 0.0 | | `sector_percent` | 0.0 | 100.0 | 33.1417 | 5.293 | | `country_percent` | 0.0 | 100.0 | 31.8262 | 4.1207 | --- ## 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`. 1 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-nam) for the publisher's own methodology notes and caveats. --- ## Citation ```bibtex @dataset{hdx_africa_aid_flows_namibia, title = {Namibia - Current IATI Aid Activities}, author = {International Aid Transparency Initiative}, year = {2026}, url = {https://data.humdata.org/dataset/iati-nam}, 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.*
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