Add dataset card

README.md

@@ -1,38 +1,49 @@
 ---
-dataset_info:
-  features:
-  - name: indicator_id
-    dtype: string
-  - name: indicator_name
-    dtype: string
-  - name: country_iso2
-    dtype: string
-  - name: country_iso3
-    dtype: string
-  - name: country_name
-    dtype: string
-  - name: year
-    dtype: int64
-  - name: value
-    dtype: float64
-  - name: unit
-    dtype: string
-  - name: obs_status
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 48514
-    num_examples: 397
-  - name: test
-    num_bytes: 10728
-    num_examples: 100
-  download_size: 13693
-  dataset_size: 59242
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
+license: cc-by-4.0
+language:
+- en
+tags:
+- asia
+- world-bank
+- wdi
+- millenium-development-goals
+- tabular
+pretty_name: "Millenium development goals — Asia (World Bank WDI)"
 ---
+
+# Millenium development goals — Asia
+
+**Source:** [World Bank World Development Indicators](https://databank.worldbank.org/source/world-development-indicators)
+**Topic:** Millenium development goals
+**Coverage:** 2 Asia countries · 1960–2024 · 497 rows
+**Indicators:** 5
+
+## About
+
+The World Bank's World Development Indicators (WDI) is the most comprehensive
+source of global development data. This dataset contains the **Millenium development goals**
+topic filtered to all available Asia countries (ISO3-coded), repackaged
+in ML-ready Parquet by [Electric Sheep Asia](https://huggingface.co/electricsheepasia).
+
+## Schema
+
+- `indicator_id` — WDI indicator code (e.g., `SP.POP.TOTL`)
+- `indicator_name` — human-readable indicator name
+- `country_iso2` / `country_iso3` / `country_name` — geography
+- `year` — observation year
+- `value` — indicator value
+- `unit` — units (often empty in WB data)
+- `obs_status` — observation status flags
+
+## Usage
+
+```python
+from datasets import load_dataset
+ds = load_dataset("electricsheepasia/asia-worldbank-millenium-development-goals")
+df = ds["train"].to_pandas()
+```
+
+## License
+
+[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) — World Bank open data
+with attribution. Cite: World Bank, World Development Indicators.