2026-10-12T15:08:17Z https://data.mendeley.com/oai

oai:data.mendeley.com/9pz8ssmc49.2 2022-04-27T20:20:15Z

Rashid, Mamun Or ToxLex_bn: A Curated Dataset of Bangla Toxic Language Derived from Facebook Comment Mendeley Data ToxLex or Lexicon of toxic language is a dataset having the aggressive and abusive bad words used in social media, Specifically, this dataset contains utterances from the user-generated comments of Facebook. The texts cover the demographic and thematic distribution of Bangla's toxic language on social media. The data have been extracted from 8 publicly open Facebook pages. This dataset is a curated, de-duplicated, anonymized dataset that is derived from raw comments. The dataset contains 1959 rows with 08 columns and each row represents a toxic bigram with its corresponding features such as transcriptions, translation, spelling standards, and degree of toxicity. This dataset is single human-annotated and curated to define classifiers for toxic language detection systems. Apart from this, it is considered a wordlist having Bangla cyberbullying, hate speech, and slang. Warning: this dataset contains text content that may be distressing or upsetting. Bengali Language Bullying User-Generated Content Dataset doi:10.17632/9pz8ssmc49.2 oai:data.mendeley.com/9pz8ssmc49.2 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/9pz8ssmc49 2022-04-27T20:20:15Z