  The widespread presence of offensive language on social media motivated the
development of systems capable of recognizing such content automatically. Apart
from a few notable exceptions, most research on automatic offensive language
identification has dealt with English. To address this shortcoming, we
introduce MOLD, the Marathi Offensive Language Dataset. MOLD is the first
dataset of its kind compiled for Marathi, thus opening a new domain for
research in low-resource Indo-Aryan languages. We present results from several
machine learning experiments on this dataset, including zero-short and other
transfer learning experiments on state-of-the-art cross-lingual transformers
from existing data in Bengali, English, and Hindi.

Computation and Language;Artificial Intelligence;Machine Learning;Neural and Evolutionary Computing;Social and Information Networks