Update README.md

README.md

@@ -35,15 +35,25 @@ configs:
   - split: test
     path: OST_bench.json
 ---
-
 This page contains the data for the paper "OST-Bench: Evaluating the Capabilities of MLLMs in Online Spatio-temporal Scene Understanding." 
 
 [**🌐 Homepage**](https://rbler1234.github.io/OSTBench.github.io/)  | [**📑 Paper**](https://arxiv.org/pdf/2507.07984) | [**💻 Code**](https://github.com/OpenRobotLab/OST-Bench) | [**📖 arXiv**](https://arxiv.org/abs/2507.07984)
 
+## Introduction
+
+Download OST-Bench for evaluation only:
+```
+huggingface-cli download rbler/OST-Bench --include OST_bench.json,img.zip --repo-type dataset
+```
+Download OST-Bench for both training and evaluation:
+```
+huggingface-cli download rbler/OST-Bench --repo-type dataset
+```
+
 ## Dataset Description
-The `imgs` folder contains image data corresponding to 1,386 scenes. Each scene has its own subfolder, which stores the observations captured by the agent while exploring that scene.
+The `imgs`/`img_train` zipfile contains image data corresponding to 1.4k/7k scenes. Each scene has its own subfolder, which stores the observations captured by the agent while exploring that scene.
 
-ost-bench.json consists of 10k data samples, where each sample represents one round of Q&A (question and answer) and includes the new observations for that round. The structure of each sample (dictionary) is as follows:
+OST_bench.json/OST_bench_train.json consists of 10k/50k data samples, where each sample represents one round of Q&A (question and answer) and includes the new observations for that round. The structure of each sample (dictionary) is as follows:
 
 ```python
 {