electricsheepasia/asia-aviation-ourairports-sri-lanka

Airports in Sri Lanka

Publisher: OurAirports · Source: HDX · License: Public Domain · Updated: 2026-01-30

Abstract

List of airports in Sri Lanka, with latitude and longitude. Unverified community data from http://ourairports.com/countries/LK/

Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2026-01-30. Geographic scope: LKA.

Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).

Dataset Characteristics

Variables

Geographic — type (seaplanebase, smallairport, mediumairport), `latitudedeg (range 5.9902–9.7923), longitudedeg` (range 79.756–81.8239), `countryname (Sri Lanka, #country +name), iso_country` (LK, #country +code +iso2) and 5 others.

Temporal — last_updated.

Outcome / Measurement — score (range 0.0–1275.0).

Identifier / Metadata — id (range 4391.0–430016.0), ident (#meta +code, VCBI, VCCJ), name (#loc +airport +name, Bandaranaike International Colombo Airport, Jaffna International Airport), gps_code (#loc +airport +code +gps, VCBI, VCCJ), icao_code and 3 others.

Other — elevation_ft (range 0.0–6157.0), continent (AS, #region +continent +code), scheduled_service (range 0.0–1.0), wikipedia_link.

Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/asia-aviation-ourairports-sri-lanka")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

Schema

Numeric Summary

Curation

Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snakecase. Common missing-value markers (`N/A`, `null`, `none`, `-`, `unknown`, `no data`, `#N/A`) were unified to `NaN`. 2 column(s) with >80% missing values were removed: `localcode, home_link`. 8 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.

Limitations

• —Data originates from OurAirports and has not been independently validated by ESA.
• —Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
• —The following columns have >20% missing values and should be treated with caution in modelling: gps_code, icao_code, wikipedia_link, keywords.
• —Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

Citation

@dataset{hdx_asia_aviation_ourairports_sri_lanka,
  title     = {Airports in Sri Lanka},
  author    = {OurAirports},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/ourairports-lka},
  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — Africa's ML dataset infrastructure. Lagos, Nigeria.