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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  dataset_info:
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- features:
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- - name: id
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- dtype: float64
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- - name: ident
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- dtype: string
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- - name: type
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- dtype: string
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- - name: name
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- dtype: string
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- - name: latitude_deg
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- dtype: float64
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- - name: longitude_deg
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- dtype: float64
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- - name: elevation_ft
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- dtype: float64
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- - name: continent
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- dtype: string
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- - name: country_name
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- dtype: string
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- - name: iso_country
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- dtype: string
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- - name: region_name
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- dtype: string
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- - name: iso_region
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- dtype: string
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- - name: local_region
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- dtype: string
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- - name: municipality
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- dtype: string
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- - name: scheduled_service
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- dtype: float64
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- - name: gps_code
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- dtype: string
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- - name: icao_code
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- dtype: string
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- - name: iata_code
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- dtype: string
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- - name: local_code
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- dtype: string
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- - name: wikipedia_link
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- dtype: string
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- - name: keywords
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- dtype: string
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- - name: score
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- dtype: float64
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- - name: last_updated
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- dtype: timestamp[ns, tz=UTC]
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- - name: esa_source
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- dtype: string
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- - name: esa_processed
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- dtype: string
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  splits:
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- - name: train
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- num_bytes: 15942
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- num_examples: 65
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- - name: test
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- num_bytes: 4363
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- num_examples: 17
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- download_size: 29618
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- dataset_size: 20305
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- - split: test
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- path: data/test-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ annotations_creators:
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+ - no-annotation
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+ language_creators:
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+ - found
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+ language:
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+ - en
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+ license: cc-by-4.0
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+ multilinguality:
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+ - monolingual
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+ size_categories:
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+ - n<1K
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+ source_datasets:
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+ - original
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+ task_categories:
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+ - tabular-classification
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+ - other
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+ task_ids: []
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+ tags:
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+ - africa
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+ - humanitarian
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+ - hdx
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+ - electric-sheep-africa
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+ - aviation
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+ - facilities-infrastructure
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+ - geodata
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+ - hxl
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+ - libya-floods
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+ - transportation
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+ - lby
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+ pretty_name: "Airports in Libya"
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  dataset_info:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  splits:
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+ - name: train
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+ num_examples: 65
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+ - name: test
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+ num_examples: 16
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+
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+ # Airports in Libya
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+
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+ **Publisher:** OurAirports · **Source:** [HDX](https://data.humdata.org/dataset/ourairports-lby) · **License:** `cc-by-igo` · **Updated:** 2026-03-30
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+
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+ ---
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+
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+ ## Abstract
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+
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+ List of airports in Libya, with latitude and longitude. Unverified community data from http://ourairports.com/countries/LY/
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+
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+ Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2026-03-30. Geographic scope: **LBY**.
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+
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+ *Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).*
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+
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+ ---
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+
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+ ## Dataset Characteristics
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+
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+ | | |
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+ |---|---|
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+ | **Domain** | Natural hazards and disaster risk |
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+ | **Unit of observation** | First-level administrative unit observations |
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+ | **Rows (total)** | 82 |
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+ | **Columns** | 25 (6 numeric, 18 categorical, 0 datetime) |
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+ | **Train split** | 65 rows |
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+ | **Test split** | 16 rows |
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+ | **Geographic scope** | LBY |
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+ | **Publisher** | OurAirports |
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+ | **HDX last updated** | 2026-03-30 |
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+
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+ ---
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+
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+ ## Variables
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+
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+ **Geographic** — `type` (small_airport, medium_airport, closed), `latitude_deg` (range 21.6877–32.9523), `longitude_deg` (range 9.7021–24.6061), `country_name` (Libya, #country +name), `iso_country` (LY, #country +code +iso2) and 5 others.
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+
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+ **Temporal** — `last_updated`.
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+
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+ **Outcome / Measurement** — `score` (range 0.0–1050.0).
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+
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+ **Identifier / Metadata** — `id` (range 3218.0–602664.0), `ident` (#meta +code, LY-0011, HLRA), `name` (#loc +airport +name, Jofra Oilfield Airport, Dahra Airport), `gps_code`, `icao_code` and 4 others.
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+
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+ **Other** — `elevation_ft` (range -120.0–2674.0), `continent` (AF, #region +continent +code), `scheduled_service` (range 0.0–1.0), `wikipedia_link`.
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+
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+ ---
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+
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+ ## Quick Start
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ ds = load_dataset("electricsheepafrica/africa-ourairports-lby")
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+ train = ds["train"].to_pandas()
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+ test = ds["test"].to_pandas()
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+
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+ print(train.shape)
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+ train.head()
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+ ```
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+
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+ ---
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+
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+ ## Schema
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+
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+ | Column | Type | Null % | Range / Sample Values |
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+ |---|---|---|---|
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+ | `id` | float64 | 1.2% | 3218.0 – 602664.0 (mean 149492.2346) |
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+ | `ident` | object | 0.0% | #meta +code, LY-0011, HLRA |
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+ | `type` | object | 0.0% | small_airport, medium_airport, closed |
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+ | `name` | object | 0.0% | #loc +airport +name, Jofra Oilfield Airport, Dahra Airport |
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+ | `latitude_deg` | float64 | 1.2% | 21.6877 – 32.9523 (mean 29.5833) |
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+ | `longitude_deg` | float64 | 1.2% | 9.7021 – 24.6061 (mean 17.6512) |
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+ | `elevation_ft` | float64 | 13.4% | -120.0 – 2674.0 (mean 734.4366) |
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+ | `continent` | object | 0.0% | AF, #region +continent +code |
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+ | `country_name` | object | 0.0% | Libya, #country +name |
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+ | `iso_country` | object | 0.0% | LY, #country +code +iso2 |
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+ | `region_name` | object | 0.0% | Al Wahat District, Surt District, Al Jufrah District |
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+ | `iso_region` | object | 0.0% | LY-WA, LY-SR, LY-JU |
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+ | `local_region` | object | 0.0% | WA, SR, JU |
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+ | `municipality` | object | 32.9% | Zillah, Ras Lanuf, Tripoli |
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+ | `scheduled_service` | float64 | 1.2% | 0.0 – 1.0 (mean 0.1111) |
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+ | `gps_code` | object | 25.6% | |
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+ | `icao_code` | object | 76.8% | |
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+ | `iata_code` | object | 76.8% | |
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+ | `local_code` | object | 72.0% | |
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+ | `wikipedia_link` | object | 68.3% | |
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+ | `keywords` | object | 68.3% | |
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+ | `score` | float64 | 1.2% | 0.0 – 1050.0 (mean 155.5556) |
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+ | `last_updated` | datetime64[ns, UTC] | 1.2% | |
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+ | `esa_source` | object | 0.0% | |
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+ | `esa_processed` | object | 0.0% | |
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+
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+ ---
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+
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+ ## Numeric Summary
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+
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+ | Column | Min | Max | Mean | Median |
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+ |---|---|---|---|---|
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+ | `id` | 3218.0 | 602664.0 | 149492.2346 | 4609.0 |
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+ | `latitude_deg` | 21.6877 | 32.9523 | 29.5833 | 29.5424 |
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+ | `longitude_deg` | 9.7021 | 24.6061 | 17.6512 | 18.3208 |
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+ | `elevation_ft` | -120.0 | 2674.0 | 734.4366 | 488.0 |
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+ | `scheduled_service` | 0.0 | 1.0 | 0.1111 | 0.0 |
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+ | `score` | 0.0 | 1050.0 | 155.5556 | 50.0 |
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+
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+ ---
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+
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+ ## Curation
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+
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+ Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (`N/A`, `null`, `none`, `-`, `unknown`, `no data`, `#N/A`) were unified to `NaN`. 1 column(s) with >80% missing values were removed: `home_link`. 7 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.
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+
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+ ---
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+
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+ ## Limitations
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+
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+ - Data originates from OurAirports and has not been independently validated by ESA.
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+ - Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
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+ - The following columns have >20% missing values and should be treated with caution in modelling: `municipality`, `gps_code`, `icao_code`, `iata_code`, `local_code`, `wikipedia_link`, `keywords`.
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+ - Refer to the [original HDX dataset page](https://data.humdata.org/dataset/ourairports-lby) for the publisher's own methodology notes and caveats.
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+
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+ ---
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @dataset{hdx_africa_ourairports_lby,
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+ title = {Airports in Libya},
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+ author = {OurAirports},
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+ year = {2026},
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+ url = {https://data.humdata.org/dataset/ourairports-lby},
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+ note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
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+ }
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+ ```
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+
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+ ---
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+
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+ *[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — Africa's ML dataset infrastructure. Lagos, Nigeria.*