Add README.md

README.md

@@ -1,36 +1,146 @@
 ---
+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
+- eth
+pretty_name: "Ethiopia - External Debt"
 dataset_info:
-  features:
-  - name: country_name
-    dtype: string
-  - name: country_iso3
-    dtype: string
-  - name: year
-    dtype: int64
-  - name: indicator_name
-    dtype: string
-  - name: indicator_code
-    dtype: string
-  - name: value
-    dtype: float64
-  - name: esa_source
-    dtype: string
-  - name: esa_processed
-    dtype: string
   splits:
-  - name: train
-    num_bytes: 275869
-    num_examples: 2149
-  - name: test
-    num_bytes: 68892
-    num_examples: 538
-  download_size: 47243
-  dataset_size: 344761
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
+    - name: train
+      num_examples: 2149
+    - name: test
+      num_examples: 537
 ---
+
+# Ethiopia - External Debt
+
+**Publisher:** World Bank Group · **Source:** [HDX](https://data.humdata.org/dataset/world-bank-external-debt-indicators-for-ethiopia) · **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-ethiopia) 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: **ETH**.
+
+*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)** | 2,687 |
+| **Columns** | 8 (2 numeric, 6 categorical, 0 datetime) |
+| **Train split** | 2,149 rows |
+| **Test split** | 537 rows |
+| **Geographic scope** | ETH |
+| **Publisher** | World Bank Group |
+| **HDX last updated** | 2026-03-27 |
+
+---
+
+## Variables
+
+**Geographic** — `country_name` (Ethiopia), `country_iso3` (ETH), `year` (range 1960.0–2024.0).
+
+**Outcome / Measurement** — `value` (range -7905485192.5091–149503939637.865).
+
+**Identifier / Metadata** — `indicator_name` (GNI (current US$), Total reserves (includes gold, current US$), Net ODA received (% of GNI)), `indicator_code` (NY.GNP.MKTP.CD, FI.RES.TOTL.CD, DT.ODA.ODAT.GN.ZS), `esa_source` (HDX), `esa_processed` (2026-04-10).
+
+---
+
+## Quick Start
+
+```python
+from datasets import load_dataset
+
+ds    = load_dataset("electricsheepafrica/africa-world-bank-external-debt-indicators-for-ethiopia")
+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% | Ethiopia |
+| `country_iso3` | object | 0.0% | ETH |
+| `year` | int64 | 0.0% | 1960.0 – 2024.0 (mean 1996.5713) |
+| `indicator_name` | object | 0.0% | GNI (current US$), Total reserves (includes gold, current US$), Net ODA received (% of GNI) |
+| `indicator_code` | object | 0.0% | NY.GNP.MKTP.CD, FI.RES.TOTL.CD, DT.ODA.ODAT.GN.ZS |
+| `value` | float64 | 0.0% | -7905485192.5091 – 149503939637.865 (mean 1650910883.0053) |
+| `esa_source` | object | 0.0% | HDX |
+| `esa_processed` | object | 0.0% | 2026-04-10 |
+
+---
+
+## Numeric Summary
+
+| Column | Min | Max | Mean | Median |
+|---|---|---|---|---|
+| `year` | 1960.0 | 2024.0 | 1996.5713 | 1996.0 |
+| `value` | -7905485192.5091 | 149503939637.865 | 1650910883.0053 | 20959999.0845 |
+
+---
+
+## 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-ethiopia) for the publisher's own methodology notes and caveats.
+
+---
+
+## Citation
+
+```bibtex
+@dataset{hdx_africa_world_bank_external_debt_indicators_for_ethiopia,
+  title     = {Ethiopia - External Debt},
+  author    = {World Bank Group},
+  year      = {2026},
+  url       = {https://data.humdata.org/dataset/world-bank-external-debt-indicators-for-ethiopia},
+  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.*