Update README.md

README.md

@@ -281,16 +281,9 @@ ContextualBench is a powerful evaluation framework designed to assess the perfor
 * Extensive Evaluation Dataset: Supports 7 contextual tasks, including: Question Answering (QA), Multi-Hop Question Answering, Classification tasks
 * Multi-LLM Family Support: Compatible with a wide range of LLM families, including: Hugging Face models, Gemma, Mistral, OpenAI, Cohere.
 
-
-The dataset can be loaded using the command
-```python
-task = "hotpotqa" # it can be any other option
-load_dataset("Salesforce/ContextualBench", task, split="validation")
-```
-
 ## Component Datasets of ContextualBench
 
-> 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.
 
 ### 2WikiHotpotQA