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electricsheepasia/asia-owid-government-transparency

Government Transparency | Asia (Our World in Data) 🌏 930 observations · 30 Asia countries · 1980–2010 · Repackaged by Electric Sheep Asia TL;DR This dataset contains 930 observations of Government Transparency data across 30 Asia countries, spanning 1980–2010. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Government Transparency Geographic coverage 30 Asia countries · top rows… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-government-transparency.

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Dataset Card

Government Transparency | Asia (Our World in Data)

🌏 930 observations · 30 Asia countries · 1980–2010 · Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

TL;DR

This dataset contains 930 observations of Government Transparency data across 30 Asia countries, spanning 1980–2010.

About the source

—Source: Our World in Data
—Publisher: Our World in Data
—License: cc-by-4.0
—Topic: Government Transparency

Geographic coverage

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

Country	Rows	First year	Last year
`AFG`	31	1980	2010
`ARE`	31	1980	2010
`BGD`	31	1980	2010
`CHN`	31	1980	2010
`CYP`	31	1980	2010
`IDN`	31	1980	2010
`IND`	31	1980	2010
`IRN`	31	1980	2010
`IRQ`	31	1980	2010
`ISR`	31	1980	2010
`JOR`	31	1980	2010
`JPN`	31	1980	2010
`KHM`	31	1980	2010
`KOR`	31	1980	2010
`KWT`	31	1980	2010
...	15 more countries

Schema

Column	Type	Description	Example
`country_name`	`string`	—	`Afghanistan`
`country_iso3`	`string`	—	`AFG`
`year`	`int64`	—	`1980`
`Central estimate`	`float64`	—	`-0.70077723`
`Upper bound`	`float64`	—	`-0.7432103`
`Lower bound`	`float64`	—	`-0.65629387`

Usage

python

from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-government-transparency")
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="Central estimate")

Citation

bibtex

@misc{asia_owid_government_transparency_2010,
  title        = {Government Transparency | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2010},
  url          = {https://ourworldindata.org/grapher/government-transparency},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-government-transparency}}
}

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 2026-06-08 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/government-transparency