electricsheepasia/asia-sdg-viet-namibia-sdg-data

Viet Nam SDG Data

Publisher: United Nations Development Coordination Office (inactive) · Source: HDX · License: other-pd-nr · Updated: 2025-05-05

Abstract

This data is about Viet Nam SDG data

Each row in this dataset represents tabular records. Data was last updated on HDX on 2025-05-05. Geographic scope: VNM.

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

Dataset Characteristics

Variables

Identifier / Metadata — unnamed_1 (Sheet, 1.1.1.1, 1.1.1.2), unnamed_2 (Table 15.2.1. Existing forest area (thousand ha), Table, Table 1.1.1.2. Multidimensional poverty rate (%) - by ethnic), esa_source (HDX), esa_processed (2026-05-04).

Other — table_of_contents (range 1.0–126.0).

Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/asia-sdg-all")
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 snake_case. Common missing-value markers (N/A, null, none, -, unknown, no data, #N/A) were unified to NaN. 1 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 United Nations Development Coordination Office (inactive) and has not been independently validated by ESA.
• —Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
• —Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

Citation

@dataset{hdx_asia_sdg_all,
  title     = {Viet Nam SDG Data},
  author    = {United Nations Development Coordination Office (inactive)},
  year      = {2025},
  url       = {https://data.humdata.org/dataset/viet-nam-sdg-data},
  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.