electricsheepafrica/africa-senegal-superficie-sesame-624dc411

Superficie Sesame | 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: Superficie Sesame
• Publisher: DAPSA
• Resource: Superficie Sesame
• Format: XLSX
• License: CC BY 4.0
• 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.	ece14cfb-45a3-421b-8adb-7b95d62784aa:superficie-sesame: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.	Superficie Sesame
vi1999	int64	Source column.	5486
vi2005	float64	Source column.	52419.5
vi2006	float64	Source column.	46342.8
vi2007	float64	Source column.	14380.2
vi2008	float64	Source column.	26111.2
vi2009	float64	Source column.	17261.865134226195
vi2010	int64	Source column.	12677
vi2011	float64	Source column.	8294.762890171234
vi2012	float64	Source column.	11319.208091976774
vi2013	float64	Source column.	7424.378943997493
vi2014	float64	Source column.	18190.249435415277
vi2015	float64	Source column.	20513.39533375354
vi2016	float64	Source column.	24123.27712759288
vi2017	float64	Source column.	25951.32292634864
vi2018	float64	Source column.	31413.06456768842
vi2019	float64	Source column.	41084.7
vi2020	float64	Source column.	44375.05849869115
vi2021	float64	Source column.	44090.05526801516
vi2022	float64	Source column.	45521.84654218287
vi2023	float64	Source column.	58717.183481266766
methodedecollecteenquetera	string	Source column.	Enquete
modedecalcultauxproportio	string	Source column.	Somme
frequencedeproductionirregul	string	Source column.	annuelle
delaidediffusion	string	Source column.	Novembre
lindicateurestildiffusepre	string	Source column.	dapsa.gouv.sn
niveaudedesagregationagese	string	Source column.	departement
statutdelindicateurdefiniti	string	Source column.	définitif
uniteechellemilliermi	string	Source column.	Ha
source	string	Source column.	DAPSA
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.	DAPSA
source_dataset	category	Source package title.	Superficie Sesame
source_resource	category	Source resource title.	Superficie Sesame
source_package_id	category	CKAN package UUID.	85260582-0430-448d-8f59-c82dde4c4744
source_resource_id	category	CKAN resource UUID.	ece14cfb-45a3-421b-8adb-7b95d62784aa
source_url	category	Original source resource URL.	https://agridata.ansd.sn/dataset/85260582-0430-448d-8f59-c82dde4c4744/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-superficie-sesame-624dc411")
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_superficie_sesame_624dc411_2026,
  title        = {Superficie Sesame | Africa (Senegal official open data)},
  author       = {DAPSA},
  year         = {2026},
  url          = {https://agridata.ansd.sn/dataset/superficiesesame},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-senegal-superficie-sesame-624dc411}}
}

License

Released under CC BY 4.0.

Original data (c) DAPSA. 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/85260582-0430-448d-8f59-c82dde4c4744/resource/ece14cfb-45a3-421b-8adb-7b95d62784aa/download/dapsa_ind31.xlsx