Data · dataset · 2026
Toxicity Detection Dataset in Twi Language
Listed in Teesside University Research Data Repository
This dataset contains 2,001 text entries labeled for toxicity classification.
Description
Each entry represents a user-generated comment along with an assigned toxicity label. The dataset is structured into two columns: COMMENT– A text field containing comments written primarily in Akan (Twi).
These comments include expressions of gratitude, feedback, conversational messages, and general communication typical of social or online interactions. LABEL– A categorical variable indicating whether the comment is 'toxic' or 'non-toxic'. Current labels present in the dataset: 'non-toxic' (and any others present in the full file, if applicable).
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Key Features: • Total records: 2,001 • Language: Primarily Akan (Twi) • Classification type: Binary toxicity classification There are no missing values (both columns have 2,001 non-null entries) Data types: ‘COMMENT’: string and ‘LABEL’`: string This dataset can support research in: • Toxic language detection in low-resource languages • Natural Language Processing (NLP) for African languages • Machine learning model training for text classification • Sociolinguistic analysis of online conversational content The File Format is CSV file: Toxicity_dataset.csv It contains two columns: 'COMMENT' and ‘LABEL'
Links
Where it is published
- DOI doi.org/10.17632/pvrdx7hwhz.2 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Text 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/pvrdx7hwhz.2 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:text | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |