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electricsheepasia/asia-owid-multi-party-elections-legislature-row

Multi Party Elections Legislature Row | Asia (Our World in Data) 🌏 3,311 observations Β· 47 Asia countries Β· 1890–2025 Β· Repackaged by Electric Sheep Asia TL;DR This dataset contains 3,311 observations of Multi Party Elections Legislature Row data across 47 Asia countries, spanning 1890–2025. About the source Source: Our World in Data Publisher: Our World in Data License: cc-by-4.0 Topic: Multi Party Elections Legislature Row… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-multi-party-elections-legislature-row.

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Dataset Card

Multi Party Elections Legislature Row | Asia (Our World in Data)

🌏 3,311 observations Β· 47 Asia countries Β· 1890–2025 Β· Repackaged by [Electric Sheep Asia](https://huggingface.co/electricsheepasia)

rows countries years license

TL;DR

This dataset contains 3,311 observations of Multi Party Elections Legislature Row data across 47 Asia countries, spanning 1890–2025.

About the source

  • β€”Source: Our World in Data
  • β€”Publisher: Our World in Data
  • β€”License: cc-by-4.0
  • β€”Topic: Multi Party Elections Legislature Row

Geographic coverage

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

CountryRowsFirst yearLast year
JPN13618902025
TUR11619082025
LKA11519112025
PHL11419072025
AZE10919172025
GEO10919172025
TKM10919172025
KAZ10919172025
KGZ10919172025
TJK10919172025
ARM10819182025
UZB10519212025
IND10319202025
ISR8919082025
LBN8319432025
...32 more countries

Schema

ColumnTypeDescriptionExample
country_namestringβ€”Afghanistan
country_iso3stringβ€”AFG
yearint64β€”1931
Multiparty elections for legislatureint64β€”0

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepasia/asia-owid-multi-party-elections-legislature-row")
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="Multiparty elections for legislature")

Citation

bibtex
@misc{asia_owid_multi_party_elections_legislature_row_2025,
  title        = {Multi Party Elections Legislature Row | Asia (Our World in Data)},
  author       = {Our World in Data},
  year         = {2025},
  url          = {https://ourworldindata.org/grapher/multi-party-elections-legislature-row},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-owid-multi-party-elections-legislature-row}}
}

License

Released under cc-by-4.0.

Original data Β© 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 2026-06-06 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/multi-party-elections-legislature-row