Cyber-Aggression Bystander Roles 2026 (CABY26)

Cyber-Aggression Bystander Roles 2026 (CABY26) is a relabeled cyberbullying dataset built from Twitter conversation threads (main post + replies). Each thread and each reply was independently re-annotated by a panel of annotators, with majority-vote labels, per-item agreement scores, and a tie-break resolution path recorded. The original CyBy24 dataset’s labels are also carried over on each file for comparison against the new CABY26 labels. You can access CABY26 here:

Cyber-Bystander Role Labelled Dataset (CYBY24)

CYBY24 dataset is the continuation of CYBY23, it incorporates information about bystander roles to perform fine-grained cyberbullying classification. This dataset includes the reply ID along with the text of the tweet, following the structure of the thread. 2789 threads in total comprising of more than 13,000 tweets. Moreover, we conducted several experiments to investigate the effects of including bystander roles when classifying cyber-bullying. You can access CYBY24 here:

Cyber-Bystander Role Labelled Dataset (CYBY24)

Cyberbullying with Bystander Features (CYBY23)

CYBY23 is a pilot cyberbullying dataset, that includes Twitter threads containing both the main posts and the replies from bystanders. The dataset is organized based on conver- sation ID and consists of 112 threads, totaling around 639 tweets. The unique aspect of this dataset is the inclusion of labels for bystanders’ roles, which pro- vides a comprehensive understanding of the bullying incident and helps identify the level of aggressiveness in cyberbullying.

Nigerian Pidgin English Dataset with 5 Emotion

An Informal Nigerian English (Pidgin English) emotions dataset is constructed, pre-processed, and annotated. The dataset is then used to classify five emotion classes (anger, sadness, joy, fear, and disgust) on the COVID-19 palliatives and relief aid distribution in Nigeria using standard machine learning (ML) algorithms. Thanks to Hassan Adamu, one of my Nigerian students who graduated in 2021. You can access the Nigerian-Pidgin English Corpus here:

Nigerian Pidgin-English Corpus for Emotion Classfication & Information