Update README.md

README.md

@@ -11,7 +11,7 @@ language:
 ## Model details
 
 **Model type:**
-TimeChat is an open-source chatbot trained by fine-tuning LLaMA-2 on time-sensitive video-centric instruction-following data (See [TimeIT](https://huggingface.co/datasets/ShuhuaiRen/TimeIT)).
+TimeChat is an open-source chatbot trained by fine-tuning LLaMA-2 on time-sensitive video-centric instruction-following data (See [TimeIT-Instruct-104k](https://huggingface.co/datasets/ShuhuaiRen/TimeIT)).
 It is an auto-regressive language model, based on the transformer architecture.
 
 **Model date:**
@@ -35,7 +35,7 @@ The primary use of TimeChat is research on large multimodal models and chatbots.
 The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
 
 ## Training dataset
-- 104K time-sensitive video-centric instruction-tuning data from [TimeIT](https://huggingface.co/datasets/ShuhuaiRen/TimeIT).
+- 104K time-sensitive video-centric instruction-tuning data from [TimeIT-Instruct-104k](https://huggingface.co/datasets/ShuhuaiRen/TimeIT).
 - 73K video instruction-tuning data from [Valley-Instruct-73k](https://huggingface.co/datasets/luoruipu1/Valley-Instruct-73k).
 
 ## Evaluation dataset