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README.md

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 ---
-dataset_info:
-  features:
-  - name: country_name
-    dtype: string
-  - name: country_iso3
-    dtype: string
-  - name: year
-    dtype: int64
-  - name: GDP
-    dtype: float64
-  - name: "COâ\x82\x82 emissions"
-    dtype: float64
-  splits:
-  - name: train
-    num_bytes: 173924
-    num_examples: 4068
-  - name: test
-    num_bytes: 45348
-    num_examples: 1018
-  download_size: 84868
-  dataset_size: 219272
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
+license: cc-by-4.0
+language:
+- en
+task_categories:
+- tabular-classification
+- tabular-regression
+- time-series-forecasting
+multilinguality: monolingual
+size_categories:
+- 1K<n<10K
+tags:
+- tabular
+- asia
+- our-world-in-data
+- co2-gdp-growth
+- owid
+- long-run-series
+- time-series
+pretty_name: "Co2 Gdp Growth | Asia (Our World in Data)"
 ---
+
+# Co2 Gdp Growth | Asia (Our World in Data)
+
+🌏 **5,086 observations** · **49 Asia countries** · **1831–2024** · *Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)*
+
+![rows](https://img.shields.io/badge/rows-5,086-blue) ![countries](https://img.shields.io/badge/countries-49-green) ![years](https://img.shields.io/badge/years-1831–2024-orange) ![license](https://img.shields.io/badge/license-cc-by-4.0-lightgrey)
+
+## TL;DR
+
+This dataset contains **5,086 observations** of `Co2 Gdp Growth` data across **49 Asia countries**, spanning **1831–2024**.
+
+## About the source
+
+- **Source:** [Our World in Data](https://ourworldindata.org/grapher/co2-gdp-growth)
+- **Publisher:** Our World in Data
+- **License:** [cc-by-4.0](https://creativecommons.org/licenses/by/4.0/)
+- **Topic:** Co2 Gdp Growth
+
+## Geographic coverage
+
+49 Asia countries · top rows shown below, sorted by row count:
+
+| Country | Rows | First year | Last year |
+|---------|-----:|-----------:|----------:|
+| `ARM` | 169 | 1831 | 2024 |
+| `GEO` | 169 | 1831 | 2024 |
+| `AZE` | 169 | 1831 | 2024 |
+| `KGZ` | 169 | 1831 | 2024 |
+| `TJK` | 169 | 1831 | 2024 |
+| `TKM` | 169 | 1831 | 2024 |
+| `UZB` | 169 | 1831 | 2024 |
+| `KAZ` | 169 | 1831 | 2024 |
+| `TUR` | 159 | 1866 | 2024 |
+| `JPN` | 156 | 1869 | 2024 |
+| `IND` | 154 | 1859 | 2024 |
+| `IDN` | 135 | 1890 | 2024 |
+| `MYS` | 132 | 1891 | 2024 |
+| `VNM` | 132 | 1893 | 2024 |
+| `TWN` | 128 | 1897 | 2024 |
+| ... | _34 more countries_ | | |
+
+## Schema
+
+| Column | Type | Description | Example |
+|--------|------|-------------|---------|
+| `country_name` | `string` | — | `Afghanistan` |
+| `country_iso3` | `string` | — | `AFG` |
+| `year` | `int64` | — | `1950` |
+| `GDP` | `float64` | — | `-9.431974` |
+| `CO₂ emissions` | `float64` | — | `475.0` |
+
+## Data quality & caveats
+
+- `GDP` column has 51.8% null values (filtered to non-null in this dataset).
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("electricsheepasia/asia-owid-co2-gdp-growth")
+df = ds["train"].to_pandas()
+print(df.head())
+```
+
+### Filter to one country
+
+```python
+indonesia = df[df["country_iso3"] == "IDN"]
+```
+
+### Time-series for a single indicator
+
+```python
+sample = df.sort_values("year")
+sample.plot(x="year", y="GDP")
+```
+
+## Citation
+
+```bibtex
+@misc{asia_owid_co2_gdp_growth_2024,
+  title        = {Co2 Gdp Growth | Asia (Our World in Data)},
+  author       = {Our World in Data},
+  year         = {2024},
+  url          = {https://ourworldindata.org/grapher/co2-gdp-growth},
+  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
+  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-co2-gdp-growth}}
+}
+```
+
+## License
+
+Released under [cc-by-4.0](https://creativecommons.org/licenses/by/4.0/).
+
+Original data © Our World in Data. When using this dataset, please cite both the original source above and the Electric Sheep Asia repackaging.
+
+## About Electric Sheep
+
+Electric Sheep Asia is part of the Electric Sheep mission: a unified, ML-ready data layer for Asia on HuggingFace. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use `load_dataset()` to start working in seconds.
+
+Browse the full collection: [huggingface.co/electricsheepasia](https://huggingface.co/electricsheepasia)
+
+---
+
+_Provenance: ingested 2026-06-05 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/co2-gdp-growth_