Burhan-Q commited on
Commit
2cfb47b
·
verified ·
1 Parent(s): 1a4c937

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +238 -0
README.md ADDED
@@ -0,0 +1,238 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ annotations_creators: []
3
+ language: en
4
+ license: cc-by-sa-4.0
5
+ size_categories:
6
+ - 1K<n<10K
7
+ task_categories: []
8
+ task_ids: []
9
+ pretty_name: VisualOverload
10
+ tags:
11
+ - fiftyone
12
+ - fiftyone
13
+ - image
14
+ - image
15
+ - visual-question-answering
16
+ - vqa
17
+ description: VisualOverload (CVPR 2026) is a visual question answering (VQA) benchmark
18
+ of 2,720 question-answer pairs over 150 high-resolution public-domain paintings
19
+ densely populated with figures, actions, and unfolding subplots. It probes whether
20
+ VLMs can perform simple, knowledge-free vision tasks in overloaded scenes. Ground-truth
21
+ answers are held privately; models are scored via the official evaluation server
22
+ using each question's question_id. This is a FiftyOne-format version of paulgavrikov/visualoverload.
23
+ dataset_summary: '
24
+
25
+
26
+
27
+ ![image/png](dataset_preview.jpg)
28
+
29
+
30
+
31
+ This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 2720 samples.
32
+
33
+
34
+ ## Installation
35
+
36
+
37
+ If you haven''t already, install FiftyOne:
38
+
39
+
40
+ ```bash
41
+
42
+ pip install -U fiftyone
43
+
44
+ ```
45
+
46
+
47
+ ## Usage
48
+
49
+
50
+ ```python
51
+
52
+ import fiftyone as fo
53
+
54
+ from fiftyone.utils.huggingface import load_from_hub
55
+
56
+
57
+ # Load the dataset
58
+
59
+ # Note: other available arguments include ''max_samples'', etc
60
+
61
+ dataset = load_from_hub("Voxel51/VisualOverload")
62
+
63
+
64
+ # Launch the App
65
+
66
+ session = fo.launch_app(dataset)
67
+
68
+ ```
69
+
70
+ '
71
+ ---
72
+
73
+ # Dataset Card for VisualOverload
74
+
75
+ <!-- Provide a quick summary of the dataset. -->
76
+
77
+
78
+
79
+
80
+ ![image/png](dataset_preview.jpg)
81
+
82
+
83
+ This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 2720 samples.
84
+
85
+ ## Installation
86
+
87
+ If you haven't already, install FiftyOne:
88
+
89
+ ```bash
90
+ pip install -U fiftyone
91
+ ```
92
+
93
+ ## Usage
94
+
95
+ ```python
96
+ import fiftyone as fo
97
+ from fiftyone.utils.huggingface import load_from_hub
98
+
99
+ # Load the dataset
100
+ # Note: other available arguments include 'max_samples', etc
101
+ dataset = load_from_hub("Voxel51/VisualOverload")
102
+
103
+ # Launch the App
104
+ session = fo.launch_app(dataset)
105
+ ```
106
+
107
+
108
+ ## Dataset Details
109
+
110
+ ### Dataset Description
111
+
112
+ <!-- Provide a longer summary of what this dataset is. -->
113
+
114
+
115
+
116
+ - **Curated by:** [More Information Needed]
117
+ - **Funded by [optional]:** [More Information Needed]
118
+ - **Shared by [optional]:** [More Information Needed]
119
+ - **Language(s) (NLP):** en
120
+ - **License:** cc-by-sa-4.0
121
+
122
+ ### Dataset Sources [optional]
123
+
124
+ <!-- Provide the basic links for the dataset. -->
125
+
126
+ - **Repository:** [More Information Needed]
127
+ - **Paper [optional]:** [More Information Needed]
128
+ - **Demo [optional]:** [More Information Needed]
129
+
130
+ ## Uses
131
+
132
+ <!-- Address questions around how the dataset is intended to be used. -->
133
+
134
+ ### Direct Use
135
+
136
+ <!-- This section describes suitable use cases for the dataset. -->
137
+
138
+ [More Information Needed]
139
+
140
+ ### Out-of-Scope Use
141
+
142
+ <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
143
+
144
+ [More Information Needed]
145
+
146
+ ## Dataset Structure
147
+
148
+ <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
149
+
150
+ [More Information Needed]
151
+
152
+ ## Dataset Creation
153
+
154
+ ### Curation Rationale
155
+
156
+ <!-- Motivation for the creation of this dataset. -->
157
+
158
+ [More Information Needed]
159
+
160
+ ### Source Data
161
+
162
+ <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
163
+
164
+ #### Data Collection and Processing
165
+
166
+ <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
167
+
168
+ [More Information Needed]
169
+
170
+ #### Who are the source data producers?
171
+
172
+ <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
173
+
174
+ [More Information Needed]
175
+
176
+ ### Annotations [optional]
177
+
178
+ <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
179
+
180
+ #### Annotation process
181
+
182
+ <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
183
+
184
+ [More Information Needed]
185
+
186
+ #### Who are the annotators?
187
+
188
+ <!-- This section describes the people or systems who created the annotations. -->
189
+
190
+ [More Information Needed]
191
+
192
+ #### Personal and Sensitive Information
193
+
194
+ <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
195
+
196
+ [More Information Needed]
197
+
198
+ ## Bias, Risks, and Limitations
199
+
200
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
201
+
202
+ [More Information Needed]
203
+
204
+ ### Recommendations
205
+
206
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
207
+
208
+ Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
209
+
210
+ ## Citation [optional]
211
+
212
+ <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
213
+
214
+ **BibTeX:**
215
+
216
+ [More Information Needed]
217
+
218
+ **APA:**
219
+
220
+ [More Information Needed]
221
+
222
+ ## Glossary [optional]
223
+
224
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
225
+
226
+ [More Information Needed]
227
+
228
+ ## More Information [optional]
229
+
230
+ [More Information Needed]
231
+
232
+ ## Dataset Card Authors [optional]
233
+
234
+ [More Information Needed]
235
+
236
+ ## Dataset Card Contact
237
+
238
+ [More Information Needed]