Update README.md

README.md

@@ -272,7 +272,7 @@ Evaluation Code: [SalesforceAIResearch/SFR-RAG](https://github.com/SalesforceAIR
 
 ContextualBench is a powerful evaluation framework designed to assess the performance of Large Language Models (LLMs) on contextual datasets. It provides a flexible pipeline for evaluating various LLM families across different tasks, with a focus on handling large context inputs.
 
-> Each individual evaluation dataset in ContextualBench is licensed separately and must be adhered by a user.
+> Users need to make their own assessment regarding any obligations or responsibilities under the corresponding licenses or terms and conditions pertaining to the original datasets and data.
 
 
 ## Features
@@ -284,7 +284,7 @@ ContextualBench is a powerful evaluation framework designed to assess the perfor
 
 The dataset can be loaded using the command
 ```python
-task = "hotpotqa" # it can be any other option like triviaqa,popqa,2wiki, MuSiQue, NaturalQuestions etc.
+task = "hotpotqa" # it can be any other option
 load_dataset("Salesforce/ContextualBench", task, split="validation")
 ```