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value |
|---|---|---|---|
af04ef54cf4048c680707577d87ffc5b | Can you write codes to load this 3d objects? | English |
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e5733cbe61b8465d9115dbf17cf20465 | Write me the codes which load an image editing model from hugging face and change the image's style. | English |
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7c2cfc22486541a08a5390a3d15735e7 | Please write me the code to reproduce the charts using python. | English |
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1907c6ec3ccd4c679d24c6881b55385d | Please write a interesting tweet with this image if you are an astronomy enthusiast. | English |
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5028e3222d7147068a7b40656eade189 | My guitar was broken as shown, how can I fix it? Please give me detail steps like materials to buy and usage guidlines. | English |
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95c73ead2092456484fec622912e73d2 | Can you solve the 3 questions in image? | English |
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04a46fcd5ea74fd694f14b1ce7b0adbd | How many leaves are there in the image? | English |
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051ffe37303b41a4a85c713e3bd6c55b | Which section's ticket would you recommend I purchase? | English |
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0b58ab50dec84391b85d40049827c99d | tell me some interesting conclusions about the figure | English |
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14b36525e43843ef8d7fe04741bd4c84 | Is the mug under the table? Answer in one word, yes or no. | English |
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a251e3068f97456aa028a4bb62d59f46 | what's in the image | English |
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626ca12681f2473b845dd240b2788f97 | Describe the image | English |
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5cfa05ba423a4beab5815ed93015ab5e | What is this site about? | English |
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57615b0d79fc4cefbe05d367a37d533b | write a social media post with the provided image, saying that I am ready for the new challange. | English |
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88f16e08782841e28fa7ae11e06e0edb | Write a blog post with the provided image, sharing my feeling. | English |
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710bc021aec342b3bebcc109f8e32721 | What is shown | English |
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9f80e6932d3f4950b844999c5a1a94b9 | transcribe the text | English |
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8ccb113019074e9c8e49cfa89fee934c | Describe this image | English |
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858c55bbf6fa4c97aae70ffc8bc33ebe | please solve this math puzzle | English |
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8a4e02a85eff4aadbb79fdcb804c15e2 | this is my app template describe me the design to give a webdev to code them i want information about disposition of element element name type of app color margin,font name ,font size ,border color ....and others css property | English |
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b84f879e797c4e4b8db24d54fb3063c6 | describe the scene and objects | English |
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b1fc9619fe18416bbf107ef0a6a393f2 | What’s this? Tell me as much as possible what you can see | English |
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2f48738cc201434394b048a098af1812 | how to create code for implementing that visualization | English |
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424d11aa4f894706be745c20d330d1c6 | What you can see in this image? | English |
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3e581023d1c340498c004403371dd571 | Why is this image funny? | English |
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892948e123984a58a1b6900b874f6d6c | Analyze the provided images, each featuring an individual. Identify and describe the individual's gender, facial features (excluding hair), haircut, and specific garments like shirts, hats, pants, shoes, dresses, skirts, scarves, etc. Return the results in a dictionary format as follows: {"gender": gender, "face": facial description, "haircut": hair description, "shirt": shirt description, "dress": dress description, "skirt": skirt description, "pants": pants description, "eyeglasses": eyeglasses description, "shoes": shoes description, ...}. The "description" should be one or two noun/adj words that describe the topological or geometric features, such as length (short/long), shape or style, without referencing color or texture pattern. Exclude accessories like belts, watch, badges, and etc. Remove the key if the garment does not appear, or the value string is empty (""), only keep the visible garments, do not describe colors, and ensure no garment is described within the description of another (e.g., {"pants": "long dress"}). All strings should be enclosed in double quotes. The response should only contain the dictionary, without additional sentences, explanations, or markdowns. | English |
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4224005f291344fe8e75923ecb28b2d3 | What is this | English |
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a9f0f0784ae44b0293bd1046421abe78 | What does this picture depict and why is it funny? | English |
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1a65ca111f724fd8abeb2786fa0db145 | What is in this picture? | English |
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6d1eb5b9343e40ae9aa229d03cbbcfe6 | which button should I click to control orientation? | English |
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785bdde892bf4516a8abdd4c86c799bd | which is corgi? | English |
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18e2444a96294f7f8bfb807d5b0a5759 | answer the questions provided | English |
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16135d89eea549e38f3bf64b88f7e57f | Could you describe the art style of this picture for me? | English |
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0665f58a3a7146d1a1ab36adf29bc12e | Could you describe the style of this concept art picture for me? | English |
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f3cf647662064c8fb3ef0906c5b3a9bf | Solve the questions in the image | English |
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2e7e25073ccb4fea9814b927731ad079 | What does this image reprensent? | English |
|
b2852c878ac94ca285cabec622ba74e9 | what is the number in the image? | English |
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ba2dd290d635485ab8030208b9b41487 | Where was this image taken and what can I do there? | English |
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6e7c3fa27ea94a718e4e9cfac95dc780 | How many people are in the image? | English |
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0b63d4ab857d47eab2d3d69552e963bf | What type of ID is this, and what is the important number on it? | English |
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c3f1cf1a363a4fb89280238d739b1729 | explain the scene including if there are people, what they look like and what they are doing, explain the environment they are in and other notable objects in the picture and note time of day and weather | English |
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b66f265d6fb84816aebaa5b0614d8c9c | Explain this image in detail | English |
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1ff82b6a87ad4a3d865873e8c1e5fc68 | Describe this message | English |
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0a8d812dfb90448099628a01649522e5 | What style of vanity base is this? | English |
|
87da9a65635b4e01810752ccbf3dc49c | what is this | English |
|
fa03d9b6c6904cc68d7a75569dd9b3ba | Describe this image so that a painter could recreate it | English |
|
e9aad6f2eab849dd8d9a275ba624c7c0 | give me the exact coordinates to click to stop the server | English |
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a9995599ee734dd5a9cf6a4758fbf8c9 | Do the OCR for the table in the provided image and return the output in JSON format | English |
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0c12374fa1d243fe9c425c23443120eb | get all the data from image in json format | English |
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94901b039ba449869a45b32ef66f440a | explain | English |
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14afdee4ab894de88be9f6a05ad25f2d | What could be a possible neural network for this classifier? | English |
|
1ecefa59005842579a90e7ad319fac79 | What is the product in this image? {product_name: <product_name>, product_size: <product_size>} | English |
|
76e9ca4130be4e29a456035f9f307d19 | Please, describe this image for me | English |
|
802a20449c7c43de9c0a25849d935ef1 | Summarize the image! | English |
|
6b5ffee2a86847ed96d8c6507a0430d4 | Is this image completely real, partially AI-generated, or completely AI-generated? | English |
|
c0160bf818f64599a6371eccb53a47fe | How would you describe the interior design style for this kitchen? | English |
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1d649ed3d6334a8dbe841f4dd3ae4453 | What color are the cabinets in this photograph? Please be as precise as possible, down to the shade. | English |
|
6a91649f76014bd892982fc9ffd155df | What is he doing? | English |
|
77286f0d02194fd5903a9faca21884c2 | What time of year does it appear to be in the photograph? | English |
|
84ece674e3a7422888e82a58e887cd9f | What room is represented in this image? What is unusual about it, if anything? | English |
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48e6318ceebd4f9198123f2e5c4baf87 | Write a list of the 9 characters that are depicted in this alignment chart, and the alignments this chart gives them | English |
|
3d34836adb7a45db97025ce5b8884726 | what is this? | English |
|
7fb7192391ff40f7955ed63b251250ba | Which game does the character come from and what is they doing | English |
|
69e76d6b01c84dbc815117d2dbc07de0 | please describe the picture with details of shape and color | English |
|
00f0157b167141f283c0370747c9ce54 | describe the image in details with color and shape | English |
|
e3377ac53021458aabff38b9354f5b76 | describe the image in details with shape and color | English |
|
1566738ee0cd4ab8855b6ec551f9cc67 | Can you derive Equation 6 from the image? | English |
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14fa146faf5c4adfa7d8bf32d03a7857 | This is a monitor with a game running on it.
Identify the text on the cards, make sure you identify them all.
You should only respond with the name and overall rating and nothing else.
Example:
Player name - Overall rating
Player name - Overall rating
Player name - Overall rating
Player name - Overall rating
Player name - Overall rating | English |
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4c79ac89437e48cf8bdeeb22acba053d | Please describe. | English |
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ea713fbc162b4d04b2719ce2b04dec3d | how many rabbits are in the image? | English |
|
973ffe184105404781bed9b26cb7be7a | Please give back the text in the image as json {found:[{text:"abc", x:35, y:35},]} | English |
|
481007bc95f54546a1850726839ffb1f | What type of game is the screenshot from? Describe what you see, propose your genre, settings | English |
|
daf6fd551b5340d0ae1c9565edfdb1bd | What's in the image | English |
|
7e2f45d477c34c0cac9fa509f6d81498 | what is the resistence value? | English |
|
bcc2a58d39df42d3a925cedc65f6ecd5 | what is teh resistence in image? | English |
|
60c74e00a7d547a0b64c203cf1afcfbf | defect ? | English |
|
39bb2cfb264c45ba91437dd4688561e8 | who is it ? | English |
|
a46b0c215d6d4aa88d52e1e25139f2c4 | List the victors, in order, as a JSON list containing the values "name" and "points" | English |
|
0ce8d3129175450b8fb8e3dea55dddd2 | Write exactly one sentence about every color in this pen, in order from left to right. | English |
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00313c298bc3403fbb379d0d10ec34b8 | Determine whether or not this photo was edited. | English |
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cafdec3f5435468b940b03134f5a28d9 | what this N? | English |
|
f57f5389bc744a08bc59c28671d7e399 | how would you describe the style of this image? | English |
|
0769366453c2498d86fd28f46d1118f7 | What is in this picture | English |
|
b4991e822d7d4f3d91e7642e5e9dab25 | what is this explain in much details and also say what year it was made | English |
|
907dbeb791fc4308a8cb4d0929db8df0 | What is portrayed on this image? | English |
|
1e1475f490704b84a93fb3601f34acb1 | What is depicted on this image? | English |
|
7f08d09e0f7c4c65b89cc1cb04cc32c0 | who is this ?? | English |
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b6f2a239ddf346c6936d1c8cb1489585 | What are the products bought? | English |
|
782ae1acca6e42599f1ee0a8846b4811 | Who is portrayed on this photo? | English |
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52831971fd1648b7b1a3bfaccd34e3fe | Write a caption with keywords | English |
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694ce04ba92b4c8e9978e9cd1921376d | Estimate the length of this bathroom vanity. | English |
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4df035a75f6f494089d180b81ba24fe5 | This is a panoramic photo taken of a local business. What type of business is it? | English |
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c63efe4c59c7493b940b1ccf9c234437 | What is in the image? | English |
|
db6eee26cb36474b816d7e54880384a3 | Make a guess as to where this panoramic picture was taken-- i.e., what kind of building is it? On what do you base your guess? | English |
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194c960acda94514b454e40c83f3ebc9 | Write a meme for this image. | English |
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34a245fa32ae46f0af3ae2225a91bb1c | What is this movie about? | English |
|
334c3e4ee2d94f278c794e121fd2ef6e | Who is this person? | English |
|
ebf1fb65419849e7b068e1175b7898e3 | What is the artistic style of this image? | English |
|
fa96b391eaf9449b96138c8224002a4c | what is the case for complete the capcha ? | English |
|
2d885e35661c482f9b0a7452f4c206b0 | Suggest an interesting and imaginative backstory for this character. | English |
End of preview. Expand
in Dataset Viewer.
WildVision-Bench
Evaluation
Please refer to our Github for evaluation
Leaderboard
| Model | Score | 95% CI | Win Rate | Reward | Much Better | Better | Tie | Worse | Much Worse | Avg Tokens |
|---|---|---|---|---|---|---|---|---|---|---|
| gpt-4o | 89.15 | (-1.9, 1.5) | 80.6% | 56.4 | 255.0 | 148.0 | 14.0 | 72.0 | 11.0 | 142 |
| gpt-4-vision-preview | 79.78 | (-2.9, 2.2) | 71.8% | 39.4 | 182.0 | 177.0 | 22.0 | 91.0 | 28.0 | 138 |
| Reka-Flash | 64.65 | (-2.6, 2.7) | 58.8% | 18.9 | 135.0 | 159.0 | 28.0 | 116.0 | 62.0 | 168 |
| claude-3-opus-20240229 | 62.03 | (-3.7, 2.8) | 53.0% | 13.5 | 103.0 | 162.0 | 48.0 | 141.0 | 46.0 | 105 |
| yi-vl-plus | 55.05 | (-3.4, 2.3) | 52.8% | 7.2 | 98.0 | 166.0 | 29.0 | 124.0 | 83.0 | 140 |
| liuhaotian/llava-v1.6-34b | 51.89 | (-3.4, 3.8) | 49.2% | 2.5 | 90.0 | 156.0 | 26.0 | 145.0 | 83.0 | 153 |
| claude-3-sonnet-20240229 | 50.0 | (0.0, 0.0) | 0.2% | 0.1 | 0.0 | 1.0 | 499.0 | 0.0 | 0.0 | 114 |
| claude-3-haiku-20240307 | 37.83 | (-2.6, 2.8) | 30.6% | -16.5 | 54.0 | 99.0 | 47.0 | 228.0 | 72.0 | 89 |
| gemini-pro-vision | 35.57 | (-3.0, 3.2) | 32.6% | -21.0 | 80.0 | 83.0 | 27.0 | 167.0 | 143.0 | 68 |
| liuhaotian/llava-v1.6-vicuna-13b | 33.87 | (-2.9, 3.3) | 33.8% | -21.4 | 62.0 | 107.0 | 25.0 | 167.0 | 139.0 | 136 |
| deepseek-ai/deepseek-vl-7b-chat | 33.61 | (-3.3, 3.0) | 35.6% | -21.2 | 59.0 | 119.0 | 17.0 | 161.0 | 144.0 | 116 |
| THUDM/cogvlm-chat-hf | 32.01 | (-2.2, 3.0) | 30.6% | -26.4 | 75.0 | 78.0 | 15.0 | 172.0 | 160.0 | 61 |
| liuhaotian/llava-v1.6-vicuna-7b | 26.41 | (-3.3, 3.1) | 27.0% | -31.4 | 45.0 | 90.0 | 36.0 | 164.0 | 165.0 | 130 |
| idefics2-8b-chatty | 23.96 | (-2.2, 2.4) | 26.4% | -35.8 | 44.0 | 88.0 | 19.0 | 164.0 | 185.0 | 135 |
| Qwen/Qwen-VL-Chat | 18.08 | (-1.9, 2.2) | 19.6% | -47.9 | 42.0 | 56.0 | 15.0 | 155.0 | 232.0 | 69 |
| llava-1.5-7b-hf | 15.5 | (-2.4, 2.4) | 18.0% | -47.8 | 28.0 | 62.0 | 25.0 | 174.0 | 211.0 | 185 |
| liuhaotian/llava-v1.5-13b | 14.43 | (-1.7, 1.6) | 16.8% | -52.5 | 28.0 | 56.0 | 19.0 | 157.0 | 240.0 | 91 |
| BAAI/Bunny-v1_0-3B | 12.98 | (-2.0, 2.1) | 16.6% | -54.4 | 23.0 | 60.0 | 10.0 | 164.0 | 243.0 | 72 |
| openbmb/MiniCPM-V | 11.95 | (-2.4, 2.1) | 13.6% | -57.5 | 25.0 | 43.0 | 16.0 | 164.0 | 252.0 | 86 |
| bczhou/tiny-llava-v1-hf | 8.3 | (-1.6, 1.2) | 11.0% | -66.2 | 16.0 | 39.0 | 15.0 | 127.0 | 303.0 | 72 |
| unum-cloud/uform-gen2-qwen-500m | 7.81 | (-1.3, 1.7) | 10.8% | -68.5 | 16.0 | 38.0 | 11.0 | 115.0 | 320.0 | 92 |
Citation
@article{lu2024wildvision,
title={WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences},
author={Lu, Yujie and Jiang, Dongfu and Chen, Wenhu and Wang, William Yang and Choi, Yejin and Lin, Bill Yuchen},
journal={arXiv preprint arXiv:2406.11069},
year={2024}
}
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