Update README.md

README.md

@@ -11,14 +11,14 @@ pipeline_tag: visual-question-answering
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-[📃Paper] | [🌐Website](https://tiger-ai-lab.github.io/MantisScore/) | [💻Github](https://github.com/TIGER-AI-Lab/MantisScore) | [🛢️Datasets](https://huggingface.co/datasets/TIGER-Lab/VideoEval) | [🤗Model](https://huggingface.co/TIGER-Lab/MantisScore) | [🤗Demo](https://huggingface.co/spaces/Mantis-VL/MantisScore)
+[📃Paper] | [🌐Website](https://tiger-ai-lab.github.io/MantisScore/) | [💻Github](https://github.com/TIGER-AI-Lab/MantisScore) | [🛢️Datasets](https://huggingface.co/datasets/TIGER-Lab/VideoFeedback) | [🤗Model](https://huggingface.co/TIGER-Lab/MantisScore) | [🤗Demo](https://huggingface.co/spaces/Mantis-VL/MantisScore)
 
 
 ![MantisScore](https://tiger-ai-lab.github.io/MantisScore/static/images/teaser.png)
 
 ## Introduction
 - MantisScore is a video quality evaluation model, taking [Mantis-8B-Idefics2](https://huggingface.co/TIGER-Lab/Mantis-8B-Idefics2) as base-model
-and trained on [VideoEval](https://huggingface.co/datasets/TIGER-Lab/VideoEval),
+and trained on [VideoFeedback](https://huggingface.co/datasets/TIGER-Lab/VideoFeedback),
 a large video evaluation dataset with multi-aspect human scores. 
 
 - MantisScore can reach 75+ Spearman correlation with humans on VideoEval-test, surpassing all the MLLM-prompting methods and feature-based metrics.