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by nielsr HF Staff - opened
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  1. README.md +112 -74
README.md CHANGED
@@ -1,90 +1,128 @@
1
  ---
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  license: apache-2.0
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-
 
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  dataset_info:
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  features:
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- - name: image
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- dtype: image
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- - name: internal_id
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- dtype: string
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- - name: prompt
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- dtype: string
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- - name: url
13
- dtype: string
14
- - name: annotation
15
- struct:
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- - name: symmetry
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- dtype: int64
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- range: [-1,1]
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- - name: richness
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- dtype: int64
21
- range: [-2,2]
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- - name: color aesthetic
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- dtype: int64
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- range: [-1,1]
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- - name: detail realism
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- dtype: int64
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- range: [-3,1]
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- - name: safety
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- dtype: int64
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- range: [-3,1]
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- - name: body
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- dtype: int64
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- range: [-4,1]
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- - name: lighting aesthetic
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- dtype: int64
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- range: [-1,2]
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- - name: lighting distinction
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- dtype: int64
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- range: [-1,2]
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- - name: background
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- dtype: int64
42
- range: [-1,2]
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- - name: emotion
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- dtype: int64
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- range: [-2,2]
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- - name: main object
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- dtype: int64
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- range: [-1,1]
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- - name: color brightness
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- dtype: int64
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- range: [-1,1]
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- - name: face
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- dtype: int64
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- range: [-3,2]
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- - name: hands
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- dtype: int64
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- range: [-4,1]
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- - name: clarity
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- dtype: int64
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- range: [-2,2]
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- - name: detail refinement
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- dtype: int64
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- range: [-4,2]
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- - name: unsafe type
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- dtype: int64
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- range: [0,3]
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- - name: object pairing
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- dtype: int64
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- range: [-1,1]
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- - name: meta_result
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- sequence:
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- dtype: int64
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- - name: meta_mask
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- sequence:
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- dtype: int64
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  config_name: default
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  splits:
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- - name: train
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- num_examples: 40743
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  ---
 
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  # VisionRewardDB-Image
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  ## Introduction
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  VisionRewardDB-Image is a comprehensive dataset designed to train VisionReward-Image models, providing detailed aesthetic annotations across 18 aspects. The dataset aims to enhance the assessment and understanding of visual aesthetics and quality. 🌟✨
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- For more detail, please refer to the [**Github Repository**](https://github.com/THUDM/VisionReward). πŸ”πŸ“š
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  ## Annotation Detail
 
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  ---
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  license: apache-2.0
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+ task_categories:
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+ - image-text-to-text
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  dataset_info:
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  features:
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+ - name: image
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+ dtype: image
9
+ - name: internal_id
10
+ dtype: string
11
+ - name: prompt
12
+ dtype: string
13
+ - name: url
14
+ dtype: string
15
+ - name: annotation
16
+ struct:
17
+ - name: symmetry
18
+ dtype: int64
19
+ range:
20
+ - -1
21
+ - 1
22
+ - name: richness
23
+ dtype: int64
24
+ range:
25
+ - -2
26
+ - 2
27
+ - name: color aesthetic
28
+ dtype: int64
29
+ range:
30
+ - -1
31
+ - 1
32
+ - name: detail realism
33
+ dtype: int64
34
+ range:
35
+ - -3
36
+ - 1
37
+ - name: safety
38
+ dtype: int64
39
+ range:
40
+ - -3
41
+ - 1
42
+ - name: body
43
+ dtype: int64
44
+ range:
45
+ - -4
46
+ - 1
47
+ - name: lighting aesthetic
48
+ dtype: int64
49
+ range:
50
+ - -1
51
+ - 2
52
+ - name: lighting distinction
53
+ dtype: int64
54
+ range:
55
+ - -1
56
+ - 2
57
+ - name: background
58
+ dtype: int64
59
+ range:
60
+ - -1
61
+ - 2
62
+ - name: emotion
63
+ dtype: int64
64
+ range:
65
+ - -2
66
+ - 2
67
+ - name: main object
68
+ dtype: int64
69
+ range:
70
+ - -1
71
+ - 1
72
+ - name: color brightness
73
+ dtype: int64
74
+ range:
75
+ - -1
76
+ - 1
77
+ - name: face
78
+ dtype: int64
79
+ range:
80
+ - -3
81
+ - 2
82
+ - name: hands
83
+ dtype: int64
84
+ range:
85
+ - -4
86
+ - 1
87
+ - name: clarity
88
+ dtype: int64
89
+ range:
90
+ - -2
91
+ - 2
92
+ - name: detail refinement
93
+ dtype: int64
94
+ range:
95
+ - -4
96
+ - 2
97
+ - name: unsafe type
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+ dtype: int64
99
+ range:
100
+ - 0
101
+ - 3
102
+ - name: object pairing
103
+ dtype: int64
104
+ range:
105
+ - -1
106
+ - 1
107
+ - name: meta_result
108
+ sequence:
109
+ dtype: int64
110
+ - name: meta_mask
111
+ sequence:
112
+ dtype: int64
113
  config_name: default
114
  splits:
115
+ - name: train
116
+ num_examples: 40743
117
  ---
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+
119
  # VisionRewardDB-Image
120
 
121
  ## Introduction
122
 
123
  VisionRewardDB-Image is a comprehensive dataset designed to train VisionReward-Image models, providing detailed aesthetic annotations across 18 aspects. The dataset aims to enhance the assessment and understanding of visual aesthetics and quality. 🌟✨
124
 
125
+ For more detail, please refer to the [**Github Repository**](https://github.com/THUDM/VisionReward) and the [**paper**](https://huggingface.co/papers/2412.21059). πŸ”πŸ“š
126
 
127
 
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  ## Annotation Detail