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electricsheepafrica
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africa-tunisia-station-climatique-kef-el-ksour-dgacta-6782e14c

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Time Series Forecasting
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africa
tunisia
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metadata 
license: other
language:
  - en
task_categories:
  - tabular-regression
  - time-series-forecasting
multilinguality: monolingual
size_categories:
  - n<1K
tags:
  - tabular
  - csv
  - africa
  - tunisia
  - official-statistics
  - open-data
pretty_name: >-
  Station Climatique [Kef - El Ksour] DGACTA | Africa (Tunisia official open
  data)

Station Climatique [Kef - El Ksour] DGACTA | Africa (Tunisia official open data)

3 rows - 1 Africa country - 2025 - Repackaged by Electric Sheep Africa

rows countries years indicators license

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

Geographic coverage

1 Africa country:

Country Rows First year Last year Name
TUN 3 2025 2025 Tunisia

Indicators or Resource Contents

  • station-climatique-kef-el-ksour-dgacta-e47ada9e - Station Climatique [Kef - El Ksour] DGACTA

Schema

Column Type Description Example
indicator_id string Stable indicator identifier. station-climatique-kef-el-ksour-dgacta-e47ada9e
indicator_name string Human-readable indicator name. Station Climatique [Kef - El Ksour] DGACTA
country_iso3 string ISO3 country code. TUN
country_name string Country name. Tunisia
year Int64 Observation year. 2025
value float64 Numeric observation value. 0.0
unit string Measurement unit, when available. source_units_unspecified
dimension_nom_ar string Source dimension. Intensité de Pluie
dimension_nom_fr string Source dimension. Intensité de Pluie
dimension_unite string Source dimension. mm/h
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 string Publishing organization. Ministère de l'Agriculture, des Ressources Hydrauliques et de la Pêche
source_dataset string Source package title. Station Climatique [Kef - El Ksour] DGACTA
source_resource string Source resource title. Capteur de pluviométrie dans la station climatique
source_package_id string CKAN package UUID. 884b8c5c-195e-487f-a70b-8109e57d93c5
source_resource_id string CKAN resource UUID. eb2063de-d9b0-4944-aed6-32f949b85910
source_url string Original source resource URL. https://catalog.agridata.tn/ar/dataset/86115924-776a-4a78-b79c-fb1e6f884
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-station-climatique-kef-el-ksour-dgacta-6782e14c")
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_station_climatique_kef_el_ksour_dgacta_6782e14c_2025,
  title        = {Station Climatique [Kef - El Ksour] DGACTA | Africa (Tunisia official open data)},
  author       = {Ministère de l'Agriculture, des Ressources Hydrauliques et de la Pêche},
  year         = {2025},
  url          = {https://catalog.data.gov.tn/dataset/station-climatique-kef-el-ksour-dgacta},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-station-climatique-kef-el-ksour-dgacta-6782e14c}}
}

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

Provenance: ingested 2026-07-19 via the Electric Sheep pipeline. Source URL: https://catalog.agridata.tn/ar/dataset/86115924-776a-4a78-b79c-fb1e6f884c7c/resource/aada9cae-cd80-4314-a0d3-3b573b0c6b01/download/ac_bba2df4_capteur-de-pluviometrie-dans-la-station-climatique.csv