electricsheepasia/asia-syrian-arab-republic-health

Syrian Arab Republic - Health

Publisher: OCHA Syria · Source: HDX · License: hdx-other · Updated: 2023-09-28

Abstract

Health indicators for Syria from 1990 - 2010.

Each row in this dataset represents tabular records. Data was last updated on HDX on 2023-09-28. Geographic scope: SYR.

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

Dataset Characteristics

Variables

Geographic — syrian_arab_republic ( , 0, 4).

Identifier / Metadata — unnamed_0 (Infant mortality rate (probability of dying between birth and age 1 per 1000 live births), Adolescent fertility rate (per 1000 girls aged 15-19 years), Contraceptive prevalence (%)), unnamed_2 ( , 0, 80), unnamed_3 ( , f2, 2010), unnamed_5 ( , f2, f2,f2), unnamed_6 ( , 0, 23) and 39 others.

Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/asia-syrian-arab-republic-health")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

Schema

Numeric Summary

No numeric columns.

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`. 3 column(s) with >80% missing values were removed: `unnamed1, unnamed44`, `syrianarabrepublic1`. 16 exact duplicate rows were removed. 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 OCHA Syria 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: unnamed_2, unnamed_3, syrian_arab_republic, unnamed_5, unnamed_6, unnamed_7, unnamed_8, unnamed_9....
• —Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

Citation

@dataset{hdx_asia_syrian_arab_republic_health,
  title     = {Syrian Arab Republic - Health},
  author    = {OCHA Syria},
  year      = {2023},
  url       = {https://data.humdata.org/dataset/syrian-arab-republic-health},
  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.