electricsheepafrica/africa-senegal-production-coton-2b9ee354

Production Coton | 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 Coton
• 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.	7ee4c4df-5955-42c5-94f9-2f29e7591007:production-coton: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.	Production Coton
vi1999	int64	Source column.	23000
vi2005	int64	Source column.	45025
vi2006	float64	Source column.	47737.471000000005
vi2007	float64	Source column.	45137.50475
vi2008	float64	Source column.	38810.378
vi2009	float64	Source column.	22089.6955
vi2010	float64	Source column.	26044.912000000004
vi2011	float64	Source column.	25366.84
vi2012	int64	Source column.	32248
vi2013	int64	Source column.	28818
vi2014	float64	Source column.	26565.2635
vi2015	float64	Source column.	20295.29524
vi2016	float64	Source column.	15159.7515
vi2017	int64	Source column.	20000
vi2018	int64	Source column.	15121
vi2019	int64	Source column.	16511
vi2020	int64	Source column.	19571
vi2021	float64	Source column.	21380.64581
vi2022	float64	Source column.	15667.3
vi2023	float64	Source column.	12991.268000000002
methodedecollecteenquetera	string	Source column.	Enquete
modedecalcultauxproportio	string	Source column.	produit
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.	T
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.	Production Coton
source_resource	category	Source resource title.	META DONNEES
source_package_id	category	CKAN package UUID.	7a1d83ee-4c32-4045-a2d5-b675a0c857ae
source_resource_id	category	CKAN resource UUID.	7ee4c4df-5955-42c5-94f9-2f29e7591007
source_url	category	Original source resource URL.	https://agridata.ansd.sn/dataset/7a1d83ee-4c32-4045-a2d5-b675a0c857ae/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-production-coton-2b9ee354")
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_coton_2b9ee354_2026,
  title        = {Production Coton | Africa (Senegal official open data)},
  author       = {DAPSA},
  year         = {2026},
  url          = {https://agridata.ansd.sn/dataset/productioncoton},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-senegal-production-coton-2b9ee354}}
}

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/7a1d83ee-4c32-4045-a2d5-b675a0c857ae/resource/7ee4c4df-5955-42c5-94f9-2f29e7591007/download/dapsa_ind21.xlsx