Datasets
DATASETHugging Face
5/5

belebele

Wolof(wol)Textquestion-answering, zero-shot-classification, text-classification, multiple-choiceWest Africa
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Dataset Info

Language
Wolof (wol)
Modality
Text
Domain
NLP
Size
100K<n<1M n (samples)
Institution
whooray
Last Updated
27 Oct 2026

License & Access

SPDX identifiercc-by-sa-4.0

Open — attribution required; commercial use allowed.

RedistributionYes

PII RISK

Unknown risk

Full Record

25 of 46 fields stated

Every column the registry tracks. Values marked derivedwere filled by a rule or read from the source's text rather than stated in its metadata; the rule or the quoted sentence is shown under the value.

Registry columns (20/27)

iso code
wol
Dataset name
belebele
Modality
Text
Type
dataset
Link
https://huggingface.co/datasets/whooray/belebele
NLP Task
question-answering, zero-shot-classification, text-classification, multiple-choice
Domain
NLP
Data Format
json
Size Metric
n (samples)
Size Value
100K<n<1M n (samples)
License
cc-by-sa-4.0
Open Access
Open
Source Repository
Hugging Face
Year Published
2026
Creator/Author(s)
whooray
Funder/Partner
Meta
Dialect Coverage
Not stated
Gender Balance
Not stated
Speaker Count
Not stated
Annotation Type
Human
Status
Activederivedupdated or published within 3 years
Has Datasheet
Not stated
PII Risk
Not stated
Consent Verified
Not stated
Verified By
Not stated
Date Indexed
2026-10-27
Notes / Flags
Data format: json

Quality (DQI) (4/12)

Datasheet Fields Completed
Not stated
SPDX License ID
CC-BY-SA-4.0
Redistribution Allowed?
Yes
Content Hash
Not stated
Submitted By
hf_data pipeline (automated)
Fetch Date
2026-10-27
Last Updated Date
Not stated
Annotation Guidelines Available?
Not stated
IAA Score
Not stated
Cleaning Notes
Not stated
Benchmark Exists?
Not stated
Benchmark Citation
Not stated

Representativeness (DRI) (1/7)

Gender Distribution
Not stated
Region Coverage
Not stated
Region Distribution
Not stated
Age Range Coverage
Not stated
Register
Not stated
Marginalized Group Note
Not stated
Demographic Fields Reported Count
0

Readiness Score Breakdown

5/5
Data Coverage100%
Model Availability100%
Benchmarks100%
Documentation79%
Recency100%

Representativeness

Gender Balance
Regional Distribution
Dialect Coverage
Inclusivity

Provenance

Fetch Timestamp
27 Oct 2026
Content Hash
—

Audit Log

Record indexed from Hugging Face

27 Oct 2026

Source status: Active

27 Oct 2026

Other Copies

This is a copy of the resource below, which the platform counts and shows in search.

Also Available In

This is the same multilingual corpus, sliced for other languages the platform indexes it under.

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belebele

Data format: json

24 languages3 copiesAfrikaans(afr)Textquestion-answering, zero-shot-classification, text-classification, multiple-choice
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Belebele — Parallel Reading Comprehension Benchmark (Arabic variants)

900 QA items per language variant. Arabic variants: arb_Arab (MSA), acm_Arab, arz_Arab, ary_Arab, apc_Arab, arb_Latn. Multiple-choice reading comprehension b…

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belebele

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24 languages3 copiesBambara(bam)Textquestion-answering, zero-shot-classification, text-classification, multiple-choice
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Belebele - Nigerian Fulfulde

Multiple-choice reading comprehension benchmark; fuv_Latn configuration confirmed; exact licence is CC-BY-SA-4.0, which is not available in dropdown.

24 languages3 copiesNigerian Fulfulde(fuv)TextQA
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Belebele - West Central Oromo

Confirmed gaz_Latn configuration; multiple-choice reading comprehension benchmark based on FLORES passages.

24 languages3 copiesWest Central Oromo(gaz)TextQA
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belebele

Data format: json

24 languages3 copiesHausa(hau)Textquestion-answering, zero-shot-classification, text-classification, multiple-choice
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belebele

Data format: json

24 languages3 copiesIgbo(ibo)Textquestion-answering, zero-shot-classification, text-classification, multiple-choice
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Belebele - Kikuyu

QA · General domain · Meta AI / Belebele Authors

24 languages3 copiesGikuyu(kik)TextQA
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belebele

Data format: json

24 languages3 copiesKinyarwanda(kin)Textquestion-answering, zero-shot-classification, text-classification, multiple-choice
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Belebele - Kimbundu

Belebele is a multiple-choice reading comprehension dataset spanning 122 language variants; verify kmb_Latn split in viewer before final registry submission.

24 languages3 copiesKimbundu(kmb)TextQA
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belebele

Data format: json

24 languages3 copiesLingala(lin)Textquestion-answering, zero-shot-classification, text-classification, multiple-choice
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belebele

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24 languages3 copiesLuganda(lug)Textquestion-answering, zero-shot-classification, text-classification, multiple-choice
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belebele

Data format: json

24 languages3 copiesMalagasy(mlg)Textquestion-answering, zero-shot-classification, text-classification, multiple-choice
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Belebele (Chichewa)

Confirmed via web search: Belebele's 122-language-variant reading-comprehension benchmark includes Nyanja/Chichewa. Not tagged with language:nya in the Huggi…

24 languages3 copiesChewa(nya)TextQA
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belebele

Data format: json

24 languages3 copiesShona(sna)Textquestion-answering, zero-shot-classification, text-classification, multiple-choice
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belebele

Data format: json

24 languages3 copiesSwahili(swa)Textquestion-answering, zero-shot-classification, text-classification, multiple-choice
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belebele

Data format: json

24 languages3 copiesTigrinya(tir)Textquestion-answering, zero-shot-classification, text-classification, multiple-choice
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belebele

Data format: json

24 languages3 copiesTswana(tsn)Textquestion-answering, zero-shot-classification, text-classification, multiple-choice
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belebele

Data format: json

24 languages3 copiesTsonga(tso)Textquestion-answering, zero-shot-classification, text-classification, multiple-choice
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