electricsheepafrica/africa-ghana-regional-breakdown-of-fire-outbreaks-2007-to-2012-e62ec5a9

Regional Breakdown of Fire Outbreaks 2007 to 2012 | Africa (Ghana official open data)

15 rows - 1 Africa country - 2010 - 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: Regional Breakdown of Fire Outbreaks 2007 to 2012
• Publisher: Official government open data portal
• Resource: Tema Fire Outbreak Categories 2010
• Format: CSV
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
GHA	15	2010	2010	Ghana

Indicators or Resource Contents

• This source file is packaged as a normalized tabular resource.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier for tabular resources.	4ad8ba3d-9609-4e3f-a851-d839a6133bda:0
country_iso3	string	ISO3 country code.	GHA
country_name	string	Country name.	Ghana
year	Int64	Observation year.	2010
month	string	Source column.	``
rescue	float64	Source column.	``
unnamed_2	string	Source column.	INJURY
unnamed_3	string	Source column.	DEATH
fire_outbreak	string	Source column.	INJURY
unnamed_5	string	Source column.	DEATH
cost_of	float64	Source column.	``
cost_of_1	string	Source column.	SALVAGE(GH¢)
domestic	float64	Source column.	``
industrial	float64	Source column.	``
vehicular	float64	Source column.	``
institutional	float64	Source column.	``
electrical	float64	Source column.	``
commercial	float64	Source column.	``
bush	float64	Source column.	``
others	float64	Source column.	``
total	float64	Source column.	``
source_period_start_year	Int64	First year inferred from source resource metadata.	2010
source_period_end_year	Int64	Last year inferred from source resource metadata.	2010
source_period_label	string	Human-readable period inferred from source resource metadata.	2010
source_provider	string	Publishing organization.	Official government open data portal
source_dataset	string	Source package title.	Regional Breakdown of Fire Outbreaks 2007 to 2012
source_resource	string	Source resource title.	Tema Fire Outbreak Categories 2010
source_package_id	string	CKAN package UUID.	90e61748-5c14-4378-a75e-2688593b027e
source_resource_id	string	CKAN resource UUID.	4ad8ba3d-9609-4e3f-a851-d839a6133bda
source_url	string	Original source resource URL.	http://data.gov.gh/sites/default/files/TEMA%20%20FIRE%20OUTBREAK%20CATEG
license_id	string	Source license identifier.	cc-by
retrieved_at	string	UTC retrieval timestamp.	2026-07-18T20:11:31Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-ghana-regional-breakdown-of-fire-outbreaks-2007-to-2012-e62ec5a9")
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_regional_breakdown_of_fire_outbreaks_2007_to_2012_e62ec5a9_2010,
  title        = {Regional Breakdown of Fire Outbreaks 2007 to 2012 | Africa (Ghana official open data)},
  author       = {Official government open data portal},
  year         = {2010},
  url          = {http://data.gov.gh/dataset/regional-breakdown-fire-outbreaks-2007-2012},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-ghana-regional-breakdown-of-fire-outbreaks-2007-to-2012-e62ec5a9}}
}

License

Released under CC BY 4.0.

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/TEMA%20%20FIRE%20OUTBREAK%20CATEGORIES%20FOR%20THE%20YEAR%202010.csv