Update README.md

README.md

@@ -23,9 +23,15 @@ viewer: false
 
 Building upon on our original [**MMEB**](https://arxiv.org/abs/2410.05160), **MMEB-V2** expands the evaluation scope to include five new tasks: four video-based tasks — Video Retrieval, Moment Retrieval, Video Classification, and Video Question Answering — and one task focused on visual documents, Visual Document Retrieval. This comprehensive suite enables robust evaluation of multimodal embedding models across static, temporal, and structured visual data settings.
 
-**This Hugging Face repository contains only the image and video files used in MMEB-V2, which need to be downloaded in advance.**
-**For the video component, please note that this repository contains both sampled frames and raw videos. Typically, the sampled frames are sufficient for use with our evaluation suite. However, we’ve also included the raw videos to accommodate any specific needs from users. If you prefer not to download the large raw video files, please use ```git lfs``` carefully.**
-The test data for each task in MMEB-V2 is available [here](https://huggingface.co/VLM2Vec) and will be automatically downloaded and used by our code.
+**This Hugging Face repository contains the image and video frames used in MMEB-V2, which need to be downloaded in advance.**
+
+
+## Guide to All MMEB-V2 Data
+**Please review this section carefully for all MMEB-V2–related data.**
+
+- **Image/Video Frames** – Available in this repository.  
+- **Test File** – Loaded during evaluation from Hugging Face automatically. A comprehensive list of HF paths can be found [here](https://github.com/TIGER-AI-Lab/VLM2Vec/blob/main/src/data/dataset_hf_path.py).  
+- **Raw Video Files** – In most cases, the video frames are all you need for MMEB evaluation. However, we also provide the raw video files [here](https://huggingface.co/datasets/TIGER-Lab/MMEB_Raw_Video) in case they are needed for specific use cases. Since these files are very large, please download and use them only if necessary.  
 
 
 ## 🚀 What's New
@@ -42,7 +48,7 @@ We present an overview of the MMEB-V2 dataset below:
 ## Dataset Structure
 
 The directory structure of this Hugging Face repository is shown below. 
-For video tasks, we provide both sampled frames and raw videos (the latter will be released later). For image tasks, we provide the raw images.
+For video tasks, we provide sampled frames in this repo. For image tasks, we provide the raw images.
 Files from each meta-task are zipped together, resulting in six files. For example, ``video_cls.tar.gz`` contains the sampled frames for the video classification task.
 
 ```
@@ -53,7 +59,6 @@ Files from each meta-task are zipped together, resulting in six files. For examp
 │   ├── video_qa.tar.gz
 │   ├── video_ret.tar.gz
 │   └── video_mret.tar.gz
-├── raw videos/ (To be released)
 
 → image-tasks/
 ├── mmeb_v1.tar.gz