electricsheepafrica/africa-congo-congo-gcf-funded-activities-9beb7643

Congo - GCF Funded Activities | Africa (Congo official open data)

1 rows - 1 Africa country - not-applicable - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Congo 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: Congo - GCF Funded Activities
• Publisher: Green Climate Fund
• Resource: Climate funded activities
• Format: CSV
• License: CC BY 4.0
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
COG	1	n/a	n/a	Congo

Indicators or Resource Contents

• congo-gcf-funded-activities-8caa725a - Congo - GCF Funded Activities

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	congo-gcf-funded-activities-8caa725a
indicator_name	string	Human-readable indicator name.	Congo - GCF Funded Activities
country_iso3	string	ISO3 country code.	COG
country_name	string	Country name.	Congo
date	string	Observation date.	2029-11-05
year	Int64	Observation year.	2029
value	float64	Numeric observation value.	28988852.0
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_ref	string	Source dimension.	FP159
dimension_modality	string	Source dimension.	FP
dimension_project_name	string	Source dimension.	PREFOREST CONGO - Project to reduce greenhouse gas emissions from forest
dimension_entity	string	Source dimension.	FAO
dimension_countries	string	Source dimension.	Congo
dimension_country_codes	string	Source dimension.	COG
dimension_board_meeting	string	Source dimension.	B.28
dimension_sector	string	Source dimension.	Public
dimension_theme	string	Source dimension.	Mitigation
dimension_project_size	string	Source dimension.	Medium
dimension_approval_date	string	Source dimension.	March 19, 2021
dimension_ess_category	string	Source dimension.	Category B
dimension_result_areas	string	Source dimension.	Forest and land use
dimension_status	string	Source dimension.	Under Implementation
dimension_project_url	string	Source dimension.	https://www.greenclimate.fund/project/FP159
dimension_api_url	string	Source dimension.	http://api.gcfund.org/v1/projects/23390
source_period_start_year	Int64	First year inferred from source resource metadata.	``
source_period_end_year	Int64	Last year inferred from source resource metadata.	``
source_period_label	string	Human-readable period inferred from source resource metadata.	``
source_provider	category	Publishing organization.	Green Climate Fund
source_dataset	category	Source package title.	Congo - GCF Funded Activities
source_resource	category	Source resource title.	Climate funded activities
source_package_id	category	CKAN package UUID.	f9dfa809-08d5-4ba8-99cc-7eca233d4ddf
source_resource_id	category	CKAN resource UUID.	4a0910e9-6875-4bda-b53d-fe9f0982bd9f
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/f9dfa809-08d5-4ba8-99cc-7eca233d4ddf/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-16T12:36:20Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-congo-congo-gcf-funded-activities-9beb7643")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "COG"]

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_congo_congo_gcf_funded_activities_9beb7643_2026,
  title        = {Congo - GCF Funded Activities | Africa (Congo official open data)},
  author       = {Green Climate Fund},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/congo-gcf-funded-activities},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-congo-congo-gcf-funded-activities-9beb7643}}
}

License

Released under CC BY 4.0.

Original data (c) Green Climate Fund. 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

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Provenance: ingested 2026-08-16 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/f9dfa809-08d5-4ba8-99cc-7eca233d4ddf/resource/4a0910e9-6875-4bda-b53d-fe9f0982bd9f/download/congo-gcf-funded-activities.csv