Add acknowledgements

lm_eval/tasks/tinyBenchmarks/README.md

@@ -10,6 +10,8 @@ The versatility of large language models (LLMs) led to the creation of diverse b
 
 Homepage: -
 
+All configs and utils mirror the ones from their original dataset!
+
 ### Groups and Tasks
 
 #### Groups
@@ -95,6 +97,7 @@ Estimating performance for each scenario all at once
     }
 ```
 
+Please also reference the respective original dataset that you are using!
 
 ### Checklist
 

lm_eval/tasks/tinyBenchmarks/utils_hellaswag.py

 import datasets
 import re
 
+''' This code mirrors the utils of the original hellaswag task '''
 
 def preprocess(text):
     text = text.strip()

lm_eval/tasks/tinyBenchmarks/utils_truthfulqa.py

@@ -4,6 +4,7 @@ import numpy as np
 
 from rouge_score import rouge_scorer, scoring
 
+''' This code mirrors the utils of the original truthful_qa task '''
 
 def process_results_mc2(doc, results):
     lls, is_greedy = zip(*results)

lm_eval/tasks/tinyBenchmarks/utils_winogrande.py

+''' This code mirrors the utils of the original winogrande task '''
+
 def doc_to_text(doc):
     answer_to_num = {"1": 0, "2": 1}
     return answer_to_num[doc["answer"]]