Update README.md

README.md

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 ## Introduction
-EcomMMMU comprises 7 tasks, including
-answerability prediction, category classification, product relation prediction, 
-product substitute identification, multiclass product classification, 
-sentiment analysis, and sequential recommendation. 
-MMECInstruct is split into training sets, validation sets, IND
-test sets, and OOD test sets.
-
 EcomMMMU is a large-scale multimodal multitask understanding dataset for e-commerce applications, 
 containing 406,190 samples and 8,989,510 product images across 34 product categories. 
 It is designed to systematically evaluate how multimodal large language models (MLLMs)