Update README.md

README.md

@@ -10,4 +10,9 @@ pretty_name: >-
   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: Sharma, D., Singh, A., & 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)