Update README.md

README.md

@@ -42,6 +42,8 @@ configs:
 ### **UniIR: Training and Benchmarking Universal Multimodal Information Retrievers**
 [**🌐 Homepage**](https://tiger-ai-lab.github.io/UniIR/) | [**🤗 Paper**](https://huggingface.co/papers/2311.17136) | [**📖 arXiv**](https://arxiv.org/pdf/2311.17136.pdf)  | [**GitHub**](https://github.com/TIGER-AI-Lab/UniIR)
 
+<a href="#install-git-lfs" style="color: red;">How to download the M-BEIR Dataset</a>
+
 ## 🔔News
 
 - **🔥[2023-12-21]: Our M-BEIR Benchmark is now available for use.**
@@ -152,8 +154,23 @@ Within the `qrels` directory, you will find qrels for both the validation and te
 
 ## **How to Use**
 ### Downloading the M-BEIR Dataset
-Clone the M-BEIR repo from the current Page. 
-Ensure that Git LFS (Large File Storage) is installed on your system, as it will download the required data files.
+<a name="install-git-lfs"></a>
+#### Step 1: Install Git Large File Storage (LFS)
+Before you begin, ensure that **Git LFS** is installed on your system. Git LFS is essential for handling large data files. If you do not have Git LFS installed, follow these steps:
+
+Download and install Git LFS from the official website.
+After installation, run the following command in your terminal to initialize Git LFS:
+```
+git lfs install
+```
+
+#### Step 2: Clone the M-BEIR Dataset Repository
+Once Git LFS is set up, you can clone the M-BEIR repo from the current Page. Open your terminal and execute the following command:
+```
+git clone https://huggingface.co/datasets/TIGER-Lab/M-BEIR
+```
+Please note that the M-BEIR dataset is quite large, and downloading it can take several hours, depending on your internet connection. 
+During this time, your terminal may not show much activity. The terminal might appear stuck, but if there's no error message, the download process is still ongoing.
 
 ### Decompressing M-BEIR Images
 After downloading, you will need to decompress the image files. Follow these steps in your terminal: