electricsheepafrica/africa-senegal-superficie-sorgho-767ff8c6

Superficie Sorgho | 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 Sorgho
• Publisher: DAPSA
• Resource: META DONNEES
• 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.	5174b2b4-432b-4433-b0b6-08b753536e00:superficie-sorgho: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 Sorgho
vi1999	int64	Source column.	230196
vi2005	int64	Source column.	149173
vi2006	int64	Source column.	159063
vi2007	int64	Source column.	155919
vi2008	int64	Source column.	249297
vi2009	float64	Source column.	235820.75404532516
vi2010	int64	Source column.	174264
vi2011	float64	Source column.	98479.11129711184
vi2012	float64	Source column.	143271.3125196428
vi2013	int64	Source column.	108803
vi2014	float64	Source column.	125005.98
vi2015	float64	Source column.	200737.3731548015
vi2016	float64	Source column.	220811.1104702816
vi2017	float64	Source column.	221328.5317322422
vi2018	float64	Source column.	247678.2538712609
vi2019	float64	Source column.	238832.5
vi2020	float64	Source column.	278100.5644871782
vi2021	float64	Source column.	265387.446881672
vi2022	float64	Source column.	270167.5170298652
vi2023	float64	Source column.	276412.54718231503
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 Sorgho
source_resource	category	Source resource title.	META DONNEES
source_package_id	category	CKAN package UUID.	6e3d3b98-0a54-4bf0-81b8-2a6a12fedf2d
source_resource_id	category	CKAN resource UUID.	5174b2b4-432b-4433-b0b6-08b753536e00
source_url	category	Original source resource URL.	https://agridata.ansd.sn/dataset/6e3d3b98-0a54-4bf0-81b8-2a6a12fedf2d/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-sorgho-767ff8c6")
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_sorgho_767ff8c6_2026,
  title        = {Superficie Sorgho | Africa (Senegal official open data)},
  author       = {DAPSA},
  year         = {2026},
  url          = {https://agridata.ansd.sn/dataset/superficiesorgho},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-senegal-superficie-sorgho-767ff8c6}}
}

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/6e3d3b98-0a54-4bf0-81b8-2a6a12fedf2d/resource/5174b2b4-432b-4433-b0b6-08b753536e00/download/dapsa_ind4.xlsx