Update README.md

README.md

@@ -5,24 +5,32 @@ license: mit
 # Visual Haystacks Dataset Card
 
 ## Dataset details
-Dataset type: Visual Haystacks (VHs) is a benchmark dataset specifically designed to evaluate Large Multimodal Model's (LMM's) capability to handle long-context visual information. It can also be viewed as the first visual-centric Needle-In-A-Haystack (NIAH) benchmark dataset. Please also download COCO-2017's training set validation set.
-
-```
-dataset/
-└── coco
-    ├── annotations
-    ├── test2017
-    ├── train2017
-    └── val2017
-```
-
-## Dataset date: VHs was collected in April 2024, directly derived from COCO's image and object annotations.
-
-## Paper or resources for more information: [TODO]
-
-## License: [TODO]
-
-Where to send questions or comments about the model: https://github.com/visual-haystacks/[TODO]/issues
+1. Dataset type: Visual Haystacks (VHs) is a benchmark dataset specifically designed to evaluate the Large Multimodal Model's (LMM's) capability to handle long-context visual information. It can also be viewed as the first visual-centric Needle-In-A-Haystack (NIAH) benchmark dataset. Please also download COCO-2017's training set validation set.
+
+2. Data Preparation and Benchmarking
+  - Download the VQA questions:
+    ```
+    huggingface-cli download --repo-type dataset tsunghanwu/visual_haystacks --local-dir dataset/VHs_qa
+    ```
+  - Download the COCO 2017 dataset and organize it as follows, with the default root directory ./dataset/coco:
+    ```
+    dataset/
+    ├── coco
+    │   ├── annotations
+    │   ├── test2017
+    │   └── val2017
+    └── VHs_qa
+        ├── VHs_full
+        │   ├── multi_needle
+        │   └── single_needle
+        └── VHs_small
+            ├── multi_needle
+            └── single_needle
+    ```
+  - Follow the instructions in https://github.com/visual-haystacks/vhs_benchmark to run the evaluation
+
+
+3. Please check out our [project page](https://visual-haystacks.github.io) for more information. You can also send questions or comments about the model to [our github repo](https://github.com/visual-haystacks/vhs_benchmark/issues)
 
 ## Intended use
 Primary intended uses: The primary use of VHs is research on large multimodal models and chatbots.