Datasets:

tsunghanwu
/

visual_haystacks

@@ -62,3 +62,11 @@ VHs_full/single_needle/visual_haystack_500.json filter=lfs diff=lfs merge=lfs -t
 VHs_small/single_needle/visual_haystack_10000.json filter=lfs diff=lfs merge=lfs -text
 VHs_small/VHs_small_corrected/visual_haystack_10000.json filter=lfs diff=lfs merge=lfs -text
 VHs_small/multi_needle/visual_haystack_10000.json filter=lfs diff=lfs merge=lfs -text

 VHs_small/single_needle/visual_haystack_10000.json filter=lfs diff=lfs merge=lfs -text
 VHs_small/VHs_small_corrected/visual_haystack_10000.json filter=lfs diff=lfs merge=lfs -text
 VHs_small/multi_needle/visual_haystack_10000.json filter=lfs diff=lfs merge=lfs -text
+multi_needle/multi_needle_2/visual_haystack_1000.json filter=lfs diff=lfs merge=lfs -text
+multi_needle/multi_needle_2/visual_haystack_10000.json filter=lfs diff=lfs merge=lfs -text
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+multi_needle/multi_needle_3/visual_haystack_10000.json filter=lfs diff=lfs merge=lfs -text
+single_needle/VHs_large/visual_haystack_1000.json filter=lfs diff=lfs merge=lfs -text
+single_needle/VHs_large/visual_haystack_10000.json filter=lfs diff=lfs merge=lfs -text
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+single_needle/VHs_small/visual_haystack_10000.json filter=lfs diff=lfs merge=lfs -text

README.md CHANGED Viewed

@@ -5,7 +5,7 @@ license: mit
 # Visual Haystacks Dataset Card
 ## Dataset details
-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:
@@ -20,12 +20,12 @@ license: mit
     │   ├── 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

 # Visual Haystacks Dataset Card
 ## Dataset details
+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 vision-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:
     │   ├── test2017
     │   └── val2017
     └── VHs_qa
+        ├── single_needle
+        │   ├── VHs_large
+        │   └── VHs_small
+        └── multi_needle
+            ├── multi_needle_2
+            └── multi_needle_3
     ```
   - Follow the instructions in https://github.com/visual-haystacks/vhs_benchmark to run the evaluation

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