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README.md

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 The BFCL-Hi (Hindi BFCL) dataset evaluates the function-calling capability of large language models (LLMs) when questions are asked in Hindi. This is the GCP-translated version of the English BFCL dataset, in which question-function-answer pairs across various domains and multiple languages are originally curated in English.
 
 This dataset is ready for commercial/non-commercial use.
-The evaluation steps are described [here](https://huggingface.co/datasets/nvidia/BFCL-Hi/blob/main/EVAL.md).
+The evaluation steps are described [here](https://huggingface.co/datasets/nvidia/BFCL-Hi/blob/main/EVAL.md). <br>
+Other benchmark datasets: [ [IFEval-Hi](https://huggingface.co/datasets/nvidia/IFEval-Hi) | [MT-Bench-Hi](https://huggingface.co/datasets/nvidia/MT-Bench-Hi) | [GSM8K-Hi](https://huggingface.co/datasets/nvidia/GSM8K-Hi) | [BFCL-Hi](https://huggingface.co/datasets/nvidia/BFCL-Hi) | [ChatRAG-Hi](https://huggingface.co/datasets/nvidia/ChatRAG-Hi) ]
 
 ## Dataset Owner:
 NVIDIA Corporation