electricsheepafrica/africa-senegal-rendement-niebe-a527acea

Rendement Niebe | 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: Rendement Niebe
• 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.	88eee927-1f95-48f6-80f3-a52f7f4bbc81:rendement-niebe: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.	Rendement NIEBE
vi1999	int64	Source column.	400
vi2005	int64	Source column.	419
vi2006	int64	Source column.	274
vi2007	float64	Source column.	240.6782541337703
vi2008	float64	Source column.	464.6111805290135
vi2009	float64	Source column.	401.4458099344122
vi2010	float64	Source column.	381.14651757587103
vi2011	float64	Source column.	297.3651424419893
vi2012	float64	Source column.	425.7964523268871
vi2013	float64	Source column.	330.49931197973206
vi2014	float64	Source column.	405.0620713464442
vi2015	float64	Source column.	508.4644968221617
vi2016	float64	Source column.	540.2560144492143
vi2017	float64	Source column.	535.1252314364369
vi2018	float64	Source column.	593.8706406418623
vi2019	float64	Source column.	633.473925226999
vi2020	float64	Source column.	875.8238681680057
vi2021	float64	Source column.	827.980688774989
vi2022	float64	Source column.	517.9794701635759
vi2023	float64	Source column.	736.610427764105
methodedecollecteenquetera	string	Source column.	Enquete
modedecalcultauxproportio	string	Source column.	Moyen
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.	kg/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.	Rendement Niebe
source_resource	category	Source resource title.	META DONNEES
source_package_id	category	CKAN package UUID.	03863858-dd89-4a82-856e-3d23e22935e7
source_resource_id	category	CKAN resource UUID.	88eee927-1f95-48f6-80f3-a52f7f4bbc81
source_url	category	Original source resource URL.	https://agridata.ansd.sn/dataset/03863858-dd89-4a82-856e-3d23e22935e7/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-rendement-niebe-a527acea")
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_rendement_niebe_a527acea_2026,
  title        = {Rendement Niebe | Africa (Senegal official open data)},
  author       = {DAPSA},
  year         = {2026},
  url          = {https://agridata.ansd.sn/dataset/rendementniebe},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-senegal-rendement-niebe-a527acea}}
}

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/03863858-dd89-4a82-856e-3d23e22935e7/resource/88eee927-1f95-48f6-80f3-a52f7f4bbc81/download/dapsa_ind23.xlsx