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electricsheepasia/asia-owid-generative-ai-vs-gdp-per-capita

Generative Ai Vs Gdp Per Capita | Asia (Our World in Data) 🌏 1,631 observations · 47 Asia countries · 1990–2025 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 1,631 observations of Generative Ai Vs Gdp Per Capita data across 47 Asia countries, spanning 1990–2025. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Generative Ai Vs Gdp Per Capita Geographic coverage… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-generative-ai-vs-gdp-per-capita.

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Dataset Card

Generative Ai Vs Gdp Per Capita | Asia (Our World in Data)

🌏 1,631 observations · 47 Asia countries · 1990–2025 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 1,631 observations of Generative Ai Vs Gdp Per Capita data across 47 Asia countries, spanning 1990–2025.

About the source

Geographic coverage

47 Asia countries · top rows shown below, sorted by row count:

CountryRowsFirst yearLast year
ARE3619902025
ARM3619902025
AZE3619902025
BGD3619902025
IND3619902025
GEO3619902025
CHN3619902025
IRN3619902025
IRQ3619902025
IDN3619902025
KGZ3619902025
KAZ3619902025
JPN3619902025
JOR3619902025
ISR3619902025
...32 more countries

Schema

ColumnTypeDescriptionExample
country_namestring—Afghanistan
country_iso3string—AFG
yearint64—2000
Estimated share of working-age adults who use generative AIfloat64—5.6
GDP per capitafloat64—1617.8264
World region according to OWIDstring—Asia

Data quality & caveats

  • —Estimated share of working-age adults who use generative AI column has 97.5% null values (filtered to non-null in this dataset).

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-generative-ai-vs-gdp-per-capita")
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="Estimated share of working-age adults who use generative AI")

Citation

bibtex
@misc{asia_owid_generative_ai_vs_gdp_per_capita_2025,
  title        = {Generative Ai Vs Gdp Per Capita | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2025},
  url          = {https://ourworldindata.org/grapher/generative-ai-vs-gdp-per-capita},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-generative-ai-vs-gdp-per-capita}}
}

License

Released under cc-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


Provenance: ingested 2026-06-05 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/generative-ai-vs-gdp-per-capita