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  1. README.md +65 -66
README.md CHANGED
@@ -1,66 +1,66 @@
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- ---
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- dataset_info:
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- - config_name: default
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- features:
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- - name: LPimage
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- dtype: image
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- - name: image1
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- dtype: image
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- - name: image2
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- dtype: image
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- - name: image3
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- dtype: image
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- - name: image4
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- dtype: image
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- - name: image5
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- dtype: image
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- - name: annotator1_ranking
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- sequence: int32
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- length: 5
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- - name: annotator1_best
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- dtype: int32
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- - name: annotator1_worst
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- dtype: int32
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- - name: annotator2_ranking
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- sequence: int32
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- length: 5
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- - name: annotator2_best
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- dtype: int32
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- - name: annotator2_worst
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- dtype: int32
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- - name: annotator3_ranking
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- sequence: int32
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- length: 5
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- - name: annotator3_best
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- dtype: int32
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- - name: annotator3_worst
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- dtype: int32
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- - name: annotator4_ranking
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- sequence: int32
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- length: 5
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- - name: annotator4_best
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- dtype: int32
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- - name: annotator4_worst
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- dtype: int32
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- - name: annotator5_ranking
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- sequence: int32
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- length: 5
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- - name: annotator5_best
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- dtype: int32
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- - name: annotator5_worst
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- dtype: int32
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- - name: best_annotator
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- dtype: string
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- - name: average_rank_correlation
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- dtype: float32
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- license: cc-by-nc-sa-4.0
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- task_categories:
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- - visual-question-answering
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- language:
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- - ja
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- size_categories:
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- - n<1K
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- ---
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  # BannerBench: Benchmarking Vision Language Models for Multi-Ad Selection with Human Preferences
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@@ -155,10 +155,9 @@ AdTEC dataset is released under the [CreativeCommons Attribution-NonCommercial-S
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  ### Citation Information
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  To cite this work, please use the following format:
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  ```
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- {
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  author = {Hiroto Otake and Peinan Zhang and Yusuke Sakai and Masato Mita and Hiroki Ouchi and Taro Watanabe},
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  title = {BannerBench: Benchmarking Vision Language Models for Multi-Ad Selection with Human Preferences},
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- year = {2025},
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- url = {}
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  }
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  ```
 
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+ ---
2
+ dataset_info:
3
+ - config_name: default
4
+ features:
5
+ - name: LPimage
6
+ dtype: image
7
+ - name: image1
8
+ dtype: image
9
+ - name: image2
10
+ dtype: image
11
+ - name: image3
12
+ dtype: image
13
+ - name: image4
14
+ dtype: image
15
+ - name: image5
16
+ dtype: image
17
+ - name: annotator1_ranking
18
+ sequence: int32
19
+ length: 5
20
+ - name: annotator1_best
21
+ dtype: int32
22
+ - name: annotator1_worst
23
+ dtype: int32
24
+ - name: annotator2_ranking
25
+ sequence: int32
26
+ length: 5
27
+ - name: annotator2_best
28
+ dtype: int32
29
+ - name: annotator2_worst
30
+ dtype: int32
31
+ - name: annotator3_ranking
32
+ sequence: int32
33
+ length: 5
34
+ - name: annotator3_best
35
+ dtype: int32
36
+ - name: annotator3_worst
37
+ dtype: int32
38
+ - name: annotator4_ranking
39
+ sequence: int32
40
+ length: 5
41
+ - name: annotator4_best
42
+ dtype: int32
43
+ - name: annotator4_worst
44
+ dtype: int32
45
+ - name: annotator5_ranking
46
+ sequence: int32
47
+ length: 5
48
+ - name: annotator5_best
49
+ dtype: int32
50
+ - name: annotator5_worst
51
+ dtype: int32
52
+ - name: best_annotator
53
+ dtype: string
54
+ - name: average_rank_correlation
55
+ dtype: float32
56
+ license: cc-by-nc-sa-4.0
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+ task_categories:
58
+ - visual-question-answering
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+ language:
60
+ - ja
61
+ size_categories:
62
+ - n<1K
63
+ ---
64
 
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  # BannerBench: Benchmarking Vision Language Models for Multi-Ad Selection with Human Preferences
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  ### Citation Information
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  To cite this work, please use the following format:
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  ```
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+ @misc{otake2025banner,
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  author = {Hiroto Otake and Peinan Zhang and Yusuke Sakai and Masato Mita and Hiroki Ouchi and Taro Watanabe},
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  title = {BannerBench: Benchmarking Vision Language Models for Multi-Ad Selection with Human Preferences},
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+ year = {2025}
 
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  }
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  ```