Srivastava, VivekVivekSrivastavaSingh, MayankMayankSingh2025-08-312025-08-312021-01-01[9781954085459]10.26615/978-954-452-056-4_0022-s2.0-85110992076https://d8.irins.org/handle/IITG2025/25626Code-mixing is a frequent communication style among multilingual speakers where they mix words and phrases from two different languages in the same utterance of text or speech. Identifying and filtering code-mixed text is a challenging task due to its co-existence with monolingual and noisy text. Over the years, several code-mixing metrics have been extensively used to identify and validate code-mixed text quality. This paper demonstrates several inherent limitations of code-mixing metrics with examples from the already existing datasets that are popularly used across various experiments.trueConference Paperhttps://aclanthology.org/R19-10026-14202114cpConference Proceeding0