Update README.md

README.md

@@ -93,6 +93,13 @@ dataset = load_dataset('CodeEff/ECCO', 'generate') # For nl-instructed generatio
 ```
 These are used to generate code by each model across the 2 paradigms. We use the `test` split for the evaluation/results and the `train` and `val` splits for finetuning and few-shot prompting.
 
+### Download the test cases 
+```sh
+mkdir data && cd data
+wget https://huggingface.co/datasets/CodeEff/ECCO/resolve/main/test_cases.zip
+unzip test_cases.zip
+```
+
 ### Evaluation dataset
 The dataset also consists of an additional 3rd subset `generate_eval` which consists of the runtime and memory of a spectrum of user solutions for each problem in the `test` split.     
 This is used for the percentile evaluation of the **NL-instructed generation** paradigm.
@@ -103,7 +110,7 @@ This is further filtered for efficiency and correctness as described in our pape
 
 
 ### Citation 
-```
+```bib
 @article{waghjale2024ecco,
   title={ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness?},
   author={Waghjale, Siddhant and Veerendranath, Vishruth and Wang, Zora Zhiruo and Fried, Daniel},