Datasets:
metadata
license: cc-by-4.0
task_categories:
- feature-extraction
language:
- hi
- en
pretty_name: >-
Misogyny Identification in Multimodal Internet Content in Hindi-English
Code-Mixed Language
size_categories:
- 1K<n<10K
This dataset endeavors to fill the research void by presenting a meticulously curated collection of misogynistic memes in a code-mixed language of Hindi and English. It introduces two sub-tasks: the first entails a binary classification to determine the presence of misogyny in a meme, while the second task involves categorizing the misogynistic memes into multiple labels, including Objectification, Prejudice, and Humiliation.
For more Information and Citation: Singh, A., Sharma, D., & Singh, V. K. (2024). MIMIC: Misogyny Identification in Multimodal Internet Content in Hindi-English Code-Mixed Language. ACM Transactions on Asian and Low-Resource Language Information Processing. (https://doi.org/10.1145/3656169)