Data · dataset · 2026
A Multi-Platform Cyberbullying and Toxic Span Detection Dataset for Advanced NLP
Listed in Teesside University Research Data Repository
This dataset features 75,000 carefully curated and fully balanced social media textual records designed for cyberbullying classification and sequence-labeling toxic span detection.
Description
Collected and mapped across four distinct digital ecosystems—Facebook (FB), Instagram (IG), Reddit, and online News Portals—the corpus spans seven operational categories: Racism/Xenophobia, Misogyny/Sexism, Homophobia/LGBTQphobia, Religious Hate, Harassment/Stalking, Profanity/Insult, and a baseline of Non-Toxic control samples.
A standout feature of this dataset is the precise character-level localization tags (toxic_span_start and toxic_span_end), which mark the exact spans of offensive words within toxic strings. This structural architecture makes it ideal for training multi-task learning models, sequence tagging frameworks, and deep learning models (such as BERT, RoBERTa, and BiLSTM-CRF) aimed at explainable AI and targeted content moderation.
Links
Where it is published
- DOI doi.org/10.17632/x5rpmydktp.1 ↗
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
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/x5rpmydktp.1 | 17 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:460208 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Natural Language Processing'] |
| concepts[field].anzsrc:field:470403 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Computational Linguistics'] |
| concepts[field].anzsrc:group:4602 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Artificial Intelligence'] |
| concepts[field].local:field:computer-science-ai | mapping · 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:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | 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 | |
| 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 |