Toxicity Detection Dataset in Twi Language

This dataset contains 2,001 text entries labeled for toxicity classification. 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).Key Features:• Total records: 2,001• Language: Primarily Akan (Twi)• Classification type: Binary toxicity classificationThere are no missing values (both columns have 2,001 non-null entries)Data types: ‘COMMENT’: string and ‘LABEL’`: stringThis 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 contentThe File Format is CSV file: Toxicity_dataset.csvIt contains two columns: 'COMMENT' and ‘LABEL'