World Wide Web

Natural language

Biology

Identification (biology)

Language identification

Economics

Set (abstract data type)

Computer science

Botany

Code (set theory)

Natural language processing

Crawling

Task (project management)

Anatomy

Management

Social media

Offensive

Artificial intelligence

Medicine

Programming language

Sentiment analysis

Kannada

We introduce Kannada CodeMixed Dataset (KanCMD), a multi-task learning dataset for sentiment analysis and offensive language identification. The KanCMD dataset highlights two real-world issues from the social media text. First, it contains actual comments in code mixed text posted by users on YouTube social media, rather than in monolingual text from the textbook. Second, it has been annotated for two tasks, namely sentiment analysis and offensive language detection for under-resourced Kannada language. Hence, KanCMD is meant to stimulate research in under-resourced Kannada language on real-world code-mixed social media text and multi-task learning. KanCMD was obtained by crawling the YouTube, and a minimum of three annotators annotates each comment. We release KanCMD 7,671 comments for multitask learning research purpose.

KanCMD: Kannada CodeMixed Dataset for Sentiment Analysis and Offensive Language Detection