Update README.md

README.md

@@ -26,7 +26,7 @@ The current version of the dataset consists of three releases:
 - Second release is [here](https://huggingface.co/datasets/jiofidelus/SecuTable/tree/main) consists of 1554 tables. This release is being used to evaluate the capabilities of open source LLMs to solve semantic table interpretation tasks during the SemTab challenge [https://sem-tab-challenge.github.io/2025/](https://sem-tab-challenge.github.io/2025/) hosted by the 24th international semantic web conference (ISWC) 2025. It is composed of two folders. The first folder contains the ground truth, composed of 76 tables, corresponding to 8922 entities. This subset will allow people working with the secu-table dataset to see how the dataset annotation should be done.
 
 ## Dataset evaluation
-The evaluation was conducted by running several experiments using open  source LLMs (Mistral, Falcon) and  closed source LLM (GPT-4o mini) on the [ground truth consisting of 76 tables](https://huggingface.co/datasets/jiofidelus/SecuTable/tree/main/secutable_v2/ground_truth) by considering the three main tasks of semantic table interpretation: 
+The evaluation was conducted by running several experiments using open  source LLMs ([Mistral](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3), [Falcon](https://huggingface.co/tiiuae/Falcon3-7B-Instruct)) and  closed source LLM (GPT-4o mini) on the [ground truth consisting of 76 tables](https://huggingface.co/datasets/jiofidelus/SecuTable/tree/main/secutable_v2/ground_truth) by considering the three main tasks of semantic table interpretation: 
 - Cell Entity Annotation (CEA)
 - Column Type Annotation (CTA)
 - Column Property Annotation (CPA).