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electricsheepafrica/africa-world-bank-external-debt-indicators-for-federal-republic-of-somalia

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Hugging Face2026-04-07 更新2026-04-12 收录
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--- 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 - hxl - indicators - som pretty_name: "Federal Republic of Somalia - External Debt" dataset_info: splits: - name: train num_examples: 1439 - name: test num_examples: 359 --- # Federal Republic of Somalia - External Debt **Publisher:** World Bank Group · **Source:** [HDX](https://data.humdata.org/dataset/world-bank-external-debt-indicators-for-federal-republic-of-somalia) · **License:** `cc-by` · **Updated:** 2025-11-04 --- ## 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-federal-republic-of-somalia) 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 2025-11-04. Geographic scope: **SOM**. *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)** | 1,799 | | **Columns** | 8 (2 numeric, 6 categorical, 0 datetime) | | **Train split** | 1,439 rows | | **Test split** | 359 rows | | **Geographic scope** | SOM | | **Publisher** | World Bank Group | | **HDX last updated** | 2025-11-04 | --- ## Variables **Geographic** — `country_name` (Federal Republic of Somalia, #country+name), `country_iso3` (SOM, #country+code), `year` (range 1960.0–2024.0). **Outcome / Measurement** — `value` (range -350052126.8–12061515109.9996). **Identifier / Metadata** — `indicator_name` (GNI (current US$), Technical cooperation grants (BoP, current US$), Net official development assistance received (current US$)), `indicator_code` (NY.GNP.MKTP.CD, BX.GRT.TECH.CD.WD, DT.ODA.ODAT.CD), `esa_source` (HDX), `esa_processed` (2026-04-07). --- ## Quick Start ```python from datasets import load_dataset ds = load_dataset("electricsheepafrica/africa-world-bank-external-debt-indicators-for-federal-republic-of-somalia") train = ds["train"].to_pandas() test = ds["test"].to_pandas() print(train.shape) train.head() ``` --- ## Schema | Column | Type | Null % | Range / Sample Values | |---|---|---|---| | `country_name` | object | 0.0% | Federal Republic of Somalia, #country+name | | `country_iso3` | object | 0.0% | SOM, #country+code | | `year` | float64 | 0.1% | 1960.0 – 2024.0 (mean 1994.228) | | `indicator_name` | object | 0.0% | GNI (current US$), Technical cooperation grants (BoP, current US$), Net official development assistance received (current US$) | | `indicator_code` | object | 0.0% | NY.GNP.MKTP.CD, BX.GRT.TECH.CD.WD, DT.ODA.ODAT.CD | | `value` | float64 | 0.1% | -350052126.8 – 12061515109.9996 (mean 340426754.4722) | | `esa_source` | object | 0.0% | HDX | | `esa_processed` | object | 0.0% | 2026-04-07 | --- ## Numeric Summary | Column | Min | Max | Mean | Median | |---|---|---|---|---| | `year` | 1960.0 | 2024.0 | 1994.228 | 1992.0 | | `value` | -350052126.8 | 12061515109.9996 | 340426754.4722 | 1525513.6 | --- ## 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`. 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 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-federal-republic-of-somalia) for the publisher's own methodology notes and caveats. --- ## Citation ```bibtex @dataset{hdx_africa_world_bank_external_debt_indicators_for_federal_republic_of_somalia, title = {Federal Republic of Somalia - External Debt}, author = {World Bank Group}, year = {2025}, url = {https://data.humdata.org/dataset/world-bank-external-debt-indicators-for-federal-republic-of-somalia}, 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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