electricsheepafrica/africa-tunisia-conseil-en-petits-ruminants-fournit-par-l-odesypano-pour-l-0e8eda45

conseil en petits ruminants fournit par l'ODESYPANO pour les producteurs en 2020 | Africa (Tunisia official open data)

54 rows - 1 Africa country - 2020 - 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: conseil en petits ruminants fournit par l'ODESYPANO pour les producteurs en 2020
• Publisher: Odesypano
• Resource: conseil en petit ruminant fournit par l'ODESYPANO pour les producteurs en 2020
• 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	54	2020	2020	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.	773e7490-63ce-49d1-b589-8eeca3091a88:0
country_iso3	string	ISO3 country code.	TUN
country_name	string	Country name.	Tunisia
year	Int64	Observation year.	2020
pk_ap_u_content_types_xml_t_oa0_7n	string	Source column.	²$AV»²±µ‚÷âåæ´%¶Î’‚öùõÕî•Z ñ›¦g]
d_5e1ag_i_kal_gexu2k_onds1i_ua_q_e_cya_oocae7e_eob4faw	string	Source column.	+0!ô[)YêדÊùC”¾–=ê#Ö$7iú ýÜò3Oq(øCy ¢ú˜ü¿·«ªFÓ³Ó Ùp!BrÚ8€(Ð×
di_id_b0_yt_ac_qez14_o_aoj_1_ar12_e6uou2_d_i_5u_tije	string	Source column.	``
t_xod_ka_y_1t12x_pao	string	Source column.	``
d_3_1_r_zeoe_e_naan_v_io_g_12d4_w5eh_eo_oc_o_yuaw6_a_w_i	string	Source column.	``
source_period_start_year	Int64	First year inferred from source resource metadata.	2020
source_period_end_year	Int64	Last year inferred from source resource metadata.	2020
source_period_label	string	Human-readable period inferred from source resource metadata.	2020
source_provider	string	Publishing organization.	Odesypano
source_dataset	string	Source package title.	conseil en petits ruminants fournit par l'ODESYPANO pour les producteurs
source_resource	string	Source resource title.	conseil en petit ruminant fournit par l'ODESYPANO pour les producteurs e
source_package_id	string	CKAN package UUID.	2934810a-e9fc-4656-921e-6a1569cc667a
source_resource_id	string	CKAN resource UUID.	773e7490-63ce-49d1-b589-8eeca3091a88
source_url	string	Original source resource URL.	https://catalog.agridata.tn/dataset/13356344-091b-492b-8cf2-d3a566c58392
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-conseil-en-petits-ruminants-fournit-par-l-odesypano-pour-l-0e8eda45")
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_conseil_en_petits_ruminants_fournit_par_l_odesypano_pour_l_0e8eda_2020,
  title        = {conseil en petits ruminants fournit par l'ODESYPANO pour les producteurs en 2020 | Africa (Tunisia official open data)},
  author       = {Odesypano},
  year         = {2020},
  url          = {https://catalog.data.gov.tn/dataset/conseil-en-petits-ruminants-fournit-par-l-odesypano-pour-les-producteurs-en-2020},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-conseil-en-petits-ruminants-fournit-par-l-odesypano-pour-l-0e8eda45}}
}

License

Released under Licence Nationale de Données Publiques Ouvertes.

Original data (c) Odesypano. 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/13356344-091b-492b-8cf2-d3a566c58392/resource/2045ead0-1b70-4904-a0ba-427f86ddce56/download/realisation-de-lodesypano-2020-en-matiere-dapproche-conseil-petit-ruminant.xlsx