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Data · dataset · 2022

ToxLex_bn: A Curated Dataset of Bangla Toxic Language Derived from Facebook Comment

Listed in Teesside University Research Data Repository

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.

Description

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.

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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.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Audio 65% · Text 75%
Provenance · 1 source records, 12 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/9pz8ssmc49.29 d agoJSON v1
FieldAssertionExtractorEvidence
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