Update README.md

[Update] Remove NTU-RGB+D

README.md

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 - **Paper:** [2311.17005](https://arxiv.org/abs/2311.17005)
 - **Point of Contact:** mailto:[kunchang li]([email protected])
 
+<span style="color: red;">**Important Update**</span>
+Due to NTU RGB+D License, 320 videos from NTU RGB+D need to be downloaded manually. Please visit [ROSE Lab](https://rose1.ntu.edu.sg/dataset/actionRecognition/) to access the data. We also provide a list of the 320 videos used in MVBench for your reference.
+
 ![images](./assert/generation.png)
 
 We introduce a novel static-to-dynamic method for defining temporal-related tasks. By converting static tasks into dynamic ones, we facilitate systematic generation of video tasks necessitating a wide range of temporal abilities, from perception to cognition. Guided by task definitions, we then **automatically transform public video annotations into multiple-choice QA** for task evaluation. This unique paradigm enables efficient creation of MVBench with minimal manual intervention while ensuring evaluation fairness through ground-truth video annotations and avoiding biased LLM scoring. The **20** temporal task examples are as follows.