Datasets:

electricsheepafrica
/

africa-cote-d-ivoire-budget-citoyen-2019-529121f6

license: other
language:
  - en
task_categories:
  - tabular-classification
  - tabular-regression
multilinguality: monolingual
size_categories:
  - n<1K
tags:
  - tabular
  - csv
  - africa
  - cote-d-ivoire
  - official-statistics
  - open-data
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-00000-of-00001.parquet
pretty_name: Budget Citoyen 2019 | Africa (Côte d'Ivoire official open data)

Budget Citoyen 2019 | Africa (Côte d'Ivoire official open data)

37 rows - 1 Africa country - 2019 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Côte d'Ivoire 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: Budget Citoyen 2019
Publisher: DIRECTION GENERALE DU BUDGET ET DES FINANCES
Resource: Budget Citoyen 2019 CSV export
Format: CSV
License: Other open license
Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
`CIV`	37	2019	2019	`Côte d'Ivoire`

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.	`budget-citoyen-2019:full:0`
`country_iso3`	`category`	ISO3 country code.	`CIV`
`country_name`	`category`	Country name.	`Côte d'Ivoire`
`year`	`Int64`	Observation year.	`2019`
`type`	`string`	Source column.	`Dépense`
`nature_des_ressources`	`string`	Source column.	`SERVICE DE LA DETTE PUBLIQUE`
`sous_categorie`	`string`	Source column.	``
`sous_categorie_2`	`string`	Source column.	``
`montant_2018`	`float64`	Source column.	`1547.3`
`prevision_2019`	`float64`	Source column.	`1821.4`
`source_period_start_year`	`Int64`	First year inferred from source resource metadata.	`2019`
`source_period_end_year`	`Int64`	Last year inferred from source resource metadata.	`2019`
`source_period_label`	`category`	Human-readable period inferred from source resource metadata.	`2019`
`source_provider`	`category`	Publishing organization.	`DIRECTION GENERALE DU BUDGET ET DES FINANCES`
`source_dataset`	`category`	Source package title.	`Budget Citoyen 2019`
`source_resource`	`category`	Source resource title.	`Budget Citoyen 2019 CSV export`
`source_package_id`	`category`	CKAN package UUID.	`budget-citoyen-2019`
`source_resource_id`	`category`	CKAN resource UUID.	`budget-citoyen-2019:full`
`source_url`	`category`	Original source resource URL.	`https://data.gouv.ci/data-fair/api/v1/datasets/budget-citoyen-2019/full`
`license_id`	`category`	Source license identifier.	`other-open`
`retrieved_at`	`category`	UTC retrieval timestamp.	`2026-07-27T10:23:33Z`

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-cote-d-ivoire-budget-citoyen-2019-529121f6")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "CIV"]

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_cote_d_ivoire_budget_citoyen_2019_529121f6_2019,
  title        = {Budget Citoyen 2019 | Africa (Côte d'Ivoire official open data)},
  author       = {DIRECTION GENERALE DU BUDGET ET DES FINANCES},
  year         = {2019},
  url          = {https://data.gouv.ci/datasets/budget-citoyen-2019},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-cote-d-ivoire-budget-citoyen-2019-529121f6}}
}

License

Released under Other open license.

Original data (c) DIRECTION GENERALE DU BUDGET ET DES FINANCES. 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 2026-07-27 via the Electric Sheep pipeline. Source URL: https://data.gouv.ci/data-fair/api/v1/datasets/budget-citoyen-2019/full