Datasetpublic

electricsheepafrica/africa-burundi-burundi-greenhouse-gas-and-air-pollutant-emissions-119b05cd

Burundi: Greenhouse Gas and Air Pollutant Emissions | Africa (Burundi official open data) 92,664 rows - 1 Africa country - 2024-2026 - Repackaged by Electric Sheep Africa TL;DR This dataset packages one official CSV resource from Burundi 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: Burundi: Greenhouse Gas and Air… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-burundi-burundi-greenhouse-gas-and-air-pollutant-emissions-119b05cd.

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Dataset Card

Burundi: Greenhouse Gas and Air Pollutant Emissions | Africa (Burundi official open data)

92,664 rows - 1 Africa country - 2024-2026 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Burundi 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: Burundi: Greenhouse Gas and Air Pollutant Emissions
—Publisher: Climate TRACE
—Resource: bdi_co2e_20yr_admin_0_1.csv
—Format: CSV
—License: CC BY 4.0
—Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
`BDI`	92,664	2024	2026	`Burundi`

Indicators or Resource Contents

—burundi-greenhouse-gas-and-air-pollutant-emissions-level-41a1f0db - Burundi: Greenhouse Gas and Air Pollutant Emissions - level
—burundi-greenhouse-gas-and-air-pollutant-emissions-month-9fc28485 - Burundi: Greenhouse Gas and Air Pollutant Emissions - month
—burundi-greenhouse-gas-and-air-pollutant-emissions-emissionsquantity-394a37a1 - Burundi: Greenhouse Gas and Air Pollutant Emissions - emissionsquantity

Schema

Column	Type	Description	Example
`indicator_id`	`string`	Stable indicator identifier.	`burundi-greenhouse-gas-and-air-pollutant-emissions-level-41a1f0db`
`indicator_name`	`string`	Human-readable indicator name.	`Burundi: Greenhouse Gas and Air Pollutant Emissions - level`
`country_iso3`	`string`	ISO3 country code.	`BDI`
`country_name`	`string`	Country name.	`Burundi`
`year`	`Int64`	Observation year.	`2024`
`value`	`float64`	Numeric observation value.	`0.0`
`unit`	`string`	Measurement unit, when available.	`source_units_unspecified`
`dimension_full_name`	`string`	Source dimension.	`Burundi`
`dimension_id`	`string`	Source dimension.	`BDI`
`dimension_level_0_id`	`string`	Source dimension.	`BDI`
`dimension_level_1_id`	`string`	Source dimension.	``
`dimension_name`	`string`	Source dimension.	`Burundi`
`dimension_sector`	`string`	Source dimension.	`agriculture`
`dimension_gas`	`string`	Source dimension.	`co2e_20yr`
`source_period_start_year`	`Int64`	First year inferred from source resource metadata.	`2015`
`source_period_end_year`	`Int64`	Last year inferred from source resource metadata.	`2021`
`source_period_label`	`category`	Human-readable period inferred from source resource metadata.	`2015-2021`
`source_provider`	`category`	Publishing organization.	`Climate TRACE`
`source_dataset`	`category`	Source package title.	`Burundi: Greenhouse Gas and Air Pollutant Emissions`
`source_resource`	`category`	Source resource title.	`bdi_co2e_20yr_admin_0_1.csv`
`source_package_id`	`category`	CKAN package UUID.	`62c7f8a3-47bf-4af5-85e2-67712e5c28bc`
`source_resource_id`	`category`	CKAN resource UUID.	`db8a2242-decc-45e4-88e2-de1168e3bf52`
`source_url`	`category`	Original source resource URL.	`https://data.humdata.org/dataset/62c7f8a3-47bf-4af5-85e2-67712e5c28bc/re`
`license_id`	`category`	Source license identifier.	`cc-by`
`retrieved_at`	`category`	UTC retrieval timestamp.	`2026-08-15T08:23:53Z`

Usage

python

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-burundi-burundi-greenhouse-gas-and-air-pollutant-emissions-119b05cd")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python

sample_country = df[df["country_iso3"] == "BDI"]

Work with indicators

python

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

bibtex

@misc{electric_sheep_africa_africa_burundi_burundi_greenhouse_gas_and_air_pollutant_emissions_119b05cd_2026,
  title        = {Burundi: Greenhouse Gas and Air Pollutant Emissions | Africa (Burundi official open data)},
  author       = {Climate TRACE},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/bdi-climate-trace},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-burundi-burundi-greenhouse-gas-and-air-pollutant-emissions-119b05cd}}
}

License

Released under CC BY 4.0.

Original data (c) Climate TRACE. 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 2026-08-15 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/62c7f8a3-47bf-4af5-85e2-67712e5c28bc/resource/db8a2242-decc-45e4-88e2-de1168e3bf52/download/bdico2e20yradmin0_1.csv