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README.md

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 ## Dataset Description:
 The ChatRAG-Hi (Hindi ChatRAG Bench) dataset is based on the English version of the ChatRAG Bench, which comprises the following ten datasets: Doc2Dial, QuAC, QReCC, INSCIT, HybriDialogue, DoQA, and ConvFinQA. The dataset was translated using GCP, and approximately 500 samples were filtered from each of these sets based on backtranslation accuracy to eliminate poor translations.<br>
 The evaluation steps are described [here](https://huggingface.co/datasets/nvidia/ChatRAG-Hi/blob/main/evaluation/README.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) ]
+Other Hindi 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