electricsheepafrica/africa-tunisia-la-production-d-olive-en-gouvernorat-medenine-a19e8991

La production d'olive en gouvernorat Medenine | Africa (Tunisia official open data)

9 rows - 1 Africa country - 2021-2022 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Tunisia 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: La production d'olive en gouvernorat Medenine
• Publisher: Ministère de l'Agriculture, des Ressources Hydrauliques et de la Pêche
• Resource: Estimation de la récolte d'olive compagne 2021-2022 en gouvernorat Medenine
• Format: CSV
• License: Licence Nationale de Données Publiques Ouvertes
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
TUN	9	2021	2022	Tunisia

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.	e49fa401-da4f-4082-a5bd-f8126036dfe6:0
country_iso3	string	ISO3 country code.	TUN
country_name	string	Country name.	Tunisia
delegation	string	Source column.	جرجيس
nb_oliviers_en_production	int64	Source column.	310000
production_en_tonne	int64	Source column.	4750
production_pluviale_en_tonne	int64	Source column.	4500
production_irriguee_en_tonne	int64	Source column.	250
production_huile_en_tonne	int64	Source column.	950
source_period_start_year	Int64	First year inferred from source resource metadata.	2021
source_period_end_year	Int64	Last year inferred from source resource metadata.	2022
source_period_label	string	Human-readable period inferred from source resource metadata.	2021-2022
source_provider	string	Publishing organization.	Ministère de l'Agriculture, des Ressources Hydrauliques et de la Pêche
source_dataset	string	Source package title.	La production d'olive en gouvernorat Medenine
source_resource	string	Source resource title.	Estimation de la récolte d'olive compagne 2021-2022 en gouvernorat Meden
source_package_id	string	CKAN package UUID.	c9b00c36-d87f-4084-8dec-584d4ad8b49d
source_resource_id	string	CKAN resource UUID.	e49fa401-da4f-4082-a5bd-f8126036dfe6
source_url	string	Original source resource URL.	https://catalog.agridata.tn/dataset/8bce22cf-ff0f-407b-86b7-ade704d10406
license_id	string	Source license identifier.	licence-nationale-de-données-publiques-ouvertes
retrieved_at	string	UTC retrieval timestamp.	2026-07-18T23:08:36Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-tunisia-la-production-d-olive-en-gouvernorat-medenine-a19e8991")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "TUN"]

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_tunisia_la_production_d_olive_en_gouvernorat_medenine_a19e8991_2022,
  title        = {La production d'olive en gouvernorat Medenine | Africa (Tunisia official open data)},
  author       = {Ministère de l'Agriculture, des Ressources Hydrauliques et de la Pêche},
  year         = {2022},
  url          = {https://catalog.data.gov.tn/dataset/la-recolte-d-olive-en-gouvernorat-medenine},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-la-production-d-olive-en-gouvernorat-medenine-a19e8991}}
}

License

Released under Licence Nationale de Données Publiques Ouvertes.

Original data (c) Ministère de l'Agriculture, des Ressources Hydrauliques et de la Pêche. 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 2026-07-19 via the Electric Sheep pipeline. Source URL: https://catalog.agridata.tn/dataset/8bce22cf-ff0f-407b-86b7-ade704d10406/resource/d3e9b4a5-d5bd-4354-9bce-734dfc4a8fe1/download/recolte-dolive-2021-2022-estime.csv