electricsheepafrica/africa-senegal-production-de-viande-et-d-abats-par-an-en-tonnes-893385fc

Production de viande et d'abats par an (en tonnes) | Africa (Senegal official open data)

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

TL;DR

This dataset packages one official XLSX resource from Senegal 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: Production de viande et d'abats par an (en tonnes)
• Publisher: CEP/MEPA
• Resource: META DONNEES
• Format: XLSX
• License: Open Data Commons Open Database License
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
SEN	1	n/a	n/a	Senegal

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.	22cfa17b-8057-4ec2-8fbc-1207551beb3b:metadata:0
country_iso3	category	ISO3 country code.	SEN
country_name	category	Country name.	Senegal
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	METADATA
methode_de_collecte	string	Source column.	Enquête Données administratives
mode_de_calcul	string	Source column.	Somme Produit
frequence_de_production	string	Source column.	Annuelle
indicateur_diffuse	string	Source column.	Production de viande et d'abats
niveau_de_desagregation	string	Source column.	espèce animale département
statut_de_l_indicateur	string	Source column.	définitif
unite_echelle	string	Source column.	En tonnes
source	string	Source column.	DPES/MASAE
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.	CEP/MEPA
source_dataset	category	Source package title.	Production de viande et d'abats par an (en tonnes)
source_resource	category	Source resource title.	META DONNEES
source_package_id	category	CKAN package UUID.	fc180714-8387-42c5-bcd6-9d930c0eba8a
source_resource_id	category	CKAN resource UUID.	22cfa17b-8057-4ec2-8fbc-1207551beb3b
source_url	category	Original source resource URL.	https://agridata.ansd.sn/dataset/fc180714-8387-42c5-bcd6-9d930c0eba8a/re
license_id	category	Source license identifier.	odc-odbl
retrieved_at	category	UTC retrieval timestamp.	2026-07-27T11:04:43Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-senegal-production-de-viande-et-d-abats-par-an-en-tonnes-893385fc")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "SEN"]

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_senegal_production_de_viande_et_d_abats_par_an_en_tonnes_893385fc_2026,
  title        = {Production de viande et d'abats par an (en tonnes) | Africa (Senegal official open data)},
  author       = {CEP/MEPA},
  year         = {2026},
  url          = {https://agridata.ansd.sn/dataset/productiondeviandeetabats},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-senegal-production-de-viande-et-d-abats-par-an-en-tonnes-893385fc}}
}

License

Released under Open Data Commons Open Database License.

Original data (c) CEP/MEPA. 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 2026-07-27 via the Electric Sheep pipeline. Source URL: https://agridata.ansd.sn/dataset/fc180714-8387-42c5-bcd6-9d930c0eba8a/resource/22cfa17b-8057-4ec2-8fbc-1207551beb3b/download/metadonnees.xlsx