AfriSenti SemEval Dataset (Krio)

Krio(kri)TextSentimentWest Africa

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Dataset Info

Language

Krio (kri)

Modality

Text

Domain

Social Media

Size

100K<n<1M

Institution

"Masakhane Research Foundation"

Last Updated

9 Jul 2026

License & Access

SPDX identifierCC-BY-4.0

Open — attribution required; commercial use allowed.

RedistributionYes

PII RISK

Low risk

Full Record

31 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 (24/27)

iso code: kri
Dataset name: AfriSenti SemEval Dataset (Krio)
Modality: Text
Type: dataset
Link: https://huggingface.co/datasets/masakhane/afrisenti
NLP Task: Sentiment
Domain: Social Media
Data Format: tsv, txtderivedHugging Face card: file formats
Size Metric: Sentences
Size Value: 100K<n<1MderivedHugging Face card: size_categories
License: CC-BY-4.0
Open Access: Open
Source Repository: Hugging Face
Year Published: 2023
Creator/Author(s): "Masakhane Research Foundation"
Funder/Partner: "Deep Learning Indaba"
Dialect Coverage: Standard
Gender Balance: Not stated
Speaker Count: Not stated
Annotation Type: Human
Status: Active
Has Datasheet: Yes
PII Risk: Low
Consent Verified: Not stated
Verified By: Ronke
Date Indexed: 2026-07-09
Notes / Flags: Verified Krio sentiment analysis dataset.

Quality (DQI) (5/12)

Datasheet Fields Completed: Not stated
SPDX License ID: CC-BY-4.0
Redistribution Allowed?: Yes
Content Hash: eb42667d2e83d0081864767b47681fbaf00144fbderivedHugging Face card: commit sha
Submitted By: Not stated
Fetch Date: 2026-07-09
Last Updated Date: 2024-09-18derivedHugging Face card: lastModified
Annotation Guidelines Available?: Not stated
IAA Score: Not stated
Cleaning Notes: Not stated
Benchmark Exists?: Not stated
Benchmark Citation: Not stated

Representativeness (DRI) (2/7)

Gender Distribution: Not stated
Region Coverage: Not stated
Region Distribution: Not stated
Age Range Coverage: Not stated
Register: Not stated
Marginalized Group Note: Yes: AfriSenti is the largest sentiment analysis dataset for under-represented African languages, covering 110,000+ annotated tweets in 14 African languages (Am…derivedHugging Face card: "AfriSenti is the largest sentiment analysis dataset for under-represented African languages, covering 110,000+ annotated tweets in 14 African languages (Amharic, Algerian Arabic, Hausa, Igbo, Kinyarw…"
Demographic Fields Reported Count: 0