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source_record_id
string
country_iso3
string
country_name
string
source_sheet
string
datesdr
int64
frequencedeproductionirregul
string
niveaudedesagregationagese
string
statutdelindicateurdefiniti
string
source
string
source_period_start_year
int64
source_period_end_year
int64
source_period_label
string
source_provider
string
source_dataset
string
source_resource
string
source_package_id
string
source_resource_id
string
source_url
string
license_id
string
retrieved_at
string
d8482164-015b-430b-80ff-c9f1732be979:nombre-de-cliniques:0
SEN
Senegal
Nombre de Cliniques
2,023
Décennale
Commune
Définitif
RGPH-5
null
null
null
DSDS/ANSD
Nombre de Cliniques vétérinaires
Nombre de Cliniques vétérinaires
893064e6-46bd-43e5-a7dc-7ff4c41d6f64
d8482164-015b-430b-80ff-c9f1732be979
https://agridata.ansd.sn/dataset/893064e6-46bd-43e5-a7dc-7ff4c41d6f64/resource/d8482164-015b-430b-80ff-c9f1732be979/download/dsds_ansd_ind9.xlsx
cc-by
2026-07-27T11:04:43Z

Nombre de Cliniques vétérinaires | Africa (Senegal official open data)

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

rows countries years indicators license

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

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. d8482164-015b-430b-80ff-c9f1732be979:nombre-de-cliniques: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. Nombre de Cliniques
datesdr int64 Source column. 2023
frequencedeproductionirregul string Source column. Décennale
niveaudedesagregationagese string Source column. Commune
statutdelindicateurdefiniti string Source column. Définitif
source string Source column. RGPH-5
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. DSDS/ANSD
source_dataset category Source package title. Nombre de Cliniques vétérinaires
source_resource category Source resource title. Nombre de Cliniques vétérinaires
source_package_id category CKAN package UUID. 893064e6-46bd-43e5-a7dc-7ff4c41d6f64
source_resource_id category CKAN resource UUID. d8482164-015b-430b-80ff-c9f1732be979
source_url category Original source resource URL. https://agridata.ansd.sn/dataset/893064e6-46bd-43e5-a7dc-7ff4c41d6f64/re
license_id category Source license identifier. cc-by
retrieved_at category UTC retrieval timestamp. 2026-07-27T11:04:43Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-senegal-nombre-de-cliniques-veterinaires-a23c24a7")
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_nombre_de_cliniques_veterinaires_a23c24a7_2026,
  title        = {Nombre de Cliniques vétérinaires | Africa (Senegal official open data)},
  author       = {DSDS/ANSD},
  year         = {2026},
  url          = {https://agridata.ansd.sn/dataset/nombredecliniquesveterinaires},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-senegal-nombre-de-cliniques-veterinaires-a23c24a7}}
}

License

Released under CC BY 4.0.

Original data (c) DSDS/ANSD. 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://agridata.ansd.sn/dataset/893064e6-46bd-43e5-a7dc-7ff4c41d6f64/resource/d8482164-015b-430b-80ff-c9f1732be979/download/dsds_ansd_ind9.xlsx

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