Datasets:

electricsheepafrica
/

africa-ghana-agriculture-mechanization-data-27420cfc

license: odbl
language:
  - en
task_categories:
  - tabular-regression
  - time-series-forecasting
multilinguality: monolingual
size_categories:
  - n<1K
tags:
  - tabular
  - csv
  - africa
  - ghana
  - official-statistics
  - open-data
pretty_name: Agriculture Mechanization data | Africa (Ghana official open data)

Agriculture Mechanization data | Africa (Ghana official open data)

5 rows - 1 Africa country - 2007-2011 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Ghana as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo.

About the source

Source: Agriculture Mechanization data
Publisher: Official government open data portal
Resource: Agricultural Machinery and Equipment 2007-2011
Format: CSV
License: Open Data Commons Open Database License
Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
`GHA`	5	2007	2011	`Ghana`

Indicators or Resource Contents

agriculture-mechanization-data-d48a9179 - Agriculture Mechanization data

Schema

Column	Type	Description	Example
`indicator_id`	`string`	Stable indicator identifier.	`agriculture-mechanization-data-d48a9179`
`indicator_name`	`string`	Human-readable indicator name.	`Agriculture Mechanization data`
`country_iso3`	`string`	ISO3 country code.	`GHA`
`country_name`	`string`	Country name.	`Ghana`
`year`	`Int64`	Observation year.	`2007`
`value`	`float64`	Numeric observation value.	`230.0`
`unit`	`string`	Measurement unit, when available.	`source_units_unspecified`
`dimension_unnamed_1`	`string`	Source dimension.	`Farmtrac-60 tractors`
`source_period_start_year`	`Int64`	First year inferred from source resource metadata.	`2007`
`source_period_end_year`	`Int64`	Last year inferred from source resource metadata.	`2011`
`source_period_label`	`string`	Human-readable period inferred from source resource metadata.	`2007-2011`
`source_provider`	`string`	Publishing organization.	`Official government open data portal`
`source_dataset`	`string`	Source package title.	`Agriculture Mechanization data`
`source_resource`	`string`	Source resource title.	`Agricultural Machinery and Equipment 2007-2011`
`source_package_id`	`string`	CKAN package UUID.	`48997108-bdb8-4da4-9bf8-00fd593666ab`
`source_resource_id`	`string`	CKAN resource UUID.	`db899d11-960d-44f1-a22e-e700142d0898`
`source_url`	`string`	Original source resource URL.	`http://data.gov.gh/sites/default/files/harvest_resources/Agricultural%25`
`license_id`	`string`	Source license identifier.	`odc-odbl`
`retrieved_at`	`string`	UTC retrieval timestamp.	`2026-07-18T20:11:31Z`

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-ghana-agriculture-mechanization-data-27420cfc")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "GHA"]

Work with indicators

if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])

Citation

@misc{electric_sheep_africa_africa_ghana_agriculture_mechanization_data_27420cfc_2011,
  title        = {Agriculture Mechanization data | Africa (Ghana official open data)},
  author       = {Official government open data portal},
  year         = {2011},
  url          = {http://data.gov.gh/dataset/agriculture-mechanization-data},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-ghana-agriculture-mechanization-data-27420cfc}}
}

License

Released under Open Data Commons Open Database License.

Original data (c) Official government open data portal. When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. 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/electricsheepafrica

Provenance: ingested 2026-07-18 via the Electric Sheep pipeline. Source URL: http://data.gov.gh/sites/default/files/harvest_resources/Agricultural%2520Machinery%2520and%2520Equipment.csv