Update README.md

README.md

@@ -116,11 +116,10 @@ The ICE methodology provides metrics for Usefulness and Functional Correctness a
 * Functional Correctness: An LLM that has complex reasoning capabilities is utilized to conduct unit tests while considering the given question and the reference code.
 
 
-We utilized GPT4 to measure the above metrics and provide a score from 0-4. This is the [test dataset](https://drive.google.com/file/d/1R6DDyBhcR6TSUYFTgUosJxrvibkR1BHC/view) and [Jupyter notebook] (https://colab.research.google.com/drive/1USuNLFxLex-C5tLHYET_nQfpM4ALCbc5?usp=sharing#scrollTo=lNCZTBj1nBsJ) we used to perform the benchmark.
+We utilized GPT4 to measure the above metrics and provide a score from 0-4. This is the [test dataset](https://drive.google.com/file/d/1R6DDyBhcR6TSUYFTgUosJxrvibkR1BHC/view) and 
+[Jupyter notebook](https://colab.research.google.com/drive/1USuNLFxLex-C5tLHYET_nQfpM4ALCbc5?usp=sharing) we used to perform the benchmark.
 
-You can read more about the ICE methodology in this paper.
-
-[https://openreview.net/pdf?id=RoGZaCsGUW]
+You can read more about the ICE methodology in this [paper](https://openreview.net/pdf?id=RoGZaCsGUW)
 
 
 | Model Name | Usefulness (0 - 4) | Functional Correctness (0 - 4) |