Update README.md

README.md

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 ## Dataset Description
-GlobeAudio is a multilingual, multicultural in-the-Wild benchmark for assessing compound audio understanding, comprising of 5,637 carefully constructed MCQs across six typologically diverse languages, namely English (United States), Chinese (China), Thai (Thailand), Russian (Russia), Bengali (India) and Singlish (Singapore). The dataset comprises of naturally occurring audio clips from online media that reflect real-life speech across diverse contexts, and are curated to rigorously examine the ability of multilingual systems to handle acoustic and sociolinguistic variability.
+GlobeAudio is a multilingual, multicultural benchmark for assessing naturalistic audio understanding, comprising 5,637 human-authored and rigorously verified MCQs across six typologically diverse languages, namely English (United States), Chinese (China), Thai (Thailand), Russian (Russia), Bengali (India) and Singlish (Singapore). The dataset comprises of naturally occurring audio clips from online media that reflect real-life speech across diverse contexts, and are curated to rigorously examine the ability of multilingual systems to handle acoustic and sociolinguistic variability.
 
 ## Language Selection
 The 6 carefully selected languages span multiple language families (Indo-European, Sino-Tibetan, Tai-Kadai and creole varieties), covers a wide range of geographic regions, and reflects substantial variation in resource availability and phonological characteristics. They also differ markedly in script systems and spoken characteristics -- the inclusion of Singlish enables the evaluation of naturally occuring code-mixing and multilingual speech within a single variety, capturing linguistic phenomena that are common in real-world audio but rarely represented in existing benchmarks.