Dataset · Hugging Face

HausaNLP/NaijaSenti-Twitter

Name: NaijaSenti-Twitter
Creator: HausaNLP
License: cc-by-nc-sa-4.0
Keywords: task_categories:text-classification, task_ids:sentiment-analysis, task_ids:sentiment-classification, task_ids:sentiment-scoring, task_ids:semantic-similarity-classification, task_ids:semantic-similarity-scoring, multilinguality:monolingual, multilinguality:multilingual, language:hau, language:ibo, language:pcm, language:yor, license:cc-by-nc-sa-4.0, size_categories:10K<n<100K, modality:text

NaijaSenti is the first large-scale human-annotated Twitter sentiment dataset for the four most widely spoken languages in Nigeria — Hausa, Igbo, Nigerian-Pidgin, and Yorùbá — consisting of around 30,000 annotated tweets per language, including a significant fraction of code-mixed tweets.

View on Hugging FaceReport an issue

Author / organization	HausaNLP
License (as declared)	cc-by-nc-sa-4.0
Downloads	341 (as reported by Hugging Face)
Likes	8
Created	16 June 2023
Last updated at source	16 June 2023

sentiment analysis, Twitter, tweetssentiment

Embed this entry

<iframe src="https://silytics.si/embed/item/89cd23c0-6bfc-48fd-bd45-977d4838c744" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

341 now (+32 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

More from HausaNLP

HausaNLP/AfriSenti-TwitterDataset

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.