Update README.md

README.md

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-# [M2Lingual](https://arxiv.org/pdf/2406.16783)
-A _**M**ulti-turn_ _**M**ultilingual_ dataset for Instruction Fine-tuning LLMs
+# M2Lingual
+A _**M**ulti-turn_ _**M**ultilingual_ dataset for Instruction Fine-tuning LLMs - [Link](https://arxiv.org/pdf/2406.16783)
 
 ## Dataset Summary
 The M2Lingual dataset is a comprehensive multi-turn multilingual resource designed to facilitate research and development in conversational AI. It encompasses a wide range of conversation scenarios across multiple languages, making it an invaluable asset for training, evaluating, and benchmarking conversational models. The dataset includes  diverse tasks such as question answering, task completion, summarization and more. Each entry is annotated with information about the conversation's evolution, including task Evol type, multi-turn Evol type, prompts, and the number of turns. The M2Lingual dataset aims to bridge the gap in multi-turn multilingual conversational data, providing a robust foundation for building more inclusive and effective AI systems that can understand and engage in human-like conversations across languages.