Add dataset card with description, tasks, and link to code

This PR adds a dataset card based on the information in the Github repository to provide more context on this legal RAG evaluation tool.

README.md

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+---
+task_categories:
+- question-answering
+- text-generation
+language:
+- en
+license: mit
+tags:
+- legal
+- rag
+- evaluation
+- retrieval-augmented-generation
+---
+
+# LRAGE: Legal Retrieval Augmented Generation Evaluation Tool
+
+LRAGE (Legal Retrieval Augmented Generation Evaluation) is an open-source toolkit designed to evaluate Large Language Models (LLMs) in a Retrieval-Augmented Generation (RAG) setting, specifically tailored for the legal domain.  
+
+This repository facilitates evaluating LLM performance on legal tasks without cumbersome engineering overhead.
+
+Code: https://github.com/hoorangyee/LRAGE
+
+For more details, please refer to the [LRAGE GitHub repository](https://github.com/hoorangyee/LRAGE).