images listlengths 1 5 | doc_id stringlengths 36 43 | problem stringlengths 8 1.07k | solution stringlengths 579 10.5k | data_source stringclasses 9
values | turncase stringclasses 2
values | prompt_category stringclasses 9
values | eval_focus stringclasses 5
values | original_id stringlengths 24 24 |
|---|---|---|---|---|---|---|---|---|
[
"VisualToolBench/data/engineering_singleturn_0023.png"
] | visualtoolbench_engineering_singleturn_0024 | <image>
In the processing flow diagram, the bottoms from the Atmospheric Distillation are converted to Naphtha at a certain point before being sent to the Gasoline Blending Pool. What is the final processing unit that handles the Naphtha before it reaches the Gasoline Blending Pool? Additionally, identify all processin... | ['{"b34284f6-399f-4562-b656-b42cb9a89b94": {"description": "The response correctly identifies the Hydrotreater as the processing unit where the Naphtha from the bottoms is processed before reaching the Gasoline Blending Pool.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category... | visualtoolbench_engineering | single-turn | engineering | region_switch_qa | 6870357d15624e798bfc83b8 |
[
"VisualToolBench/data/maths_multiturn_0010_turn0.png",
"VisualToolBench/data/maths_multiturn_0010_turn1.png"
] | visualtoolbench_maths_multiturn_0011 | <image>
<image>
| ['{"16b8f8ef-1f9e-481a-b933-0032e5a9e374": {"description": "The model identifies that the image shows a scale, with each side representing one side of an equation.", "weight": 2, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["visual understanding"], "critical": "yes", "final_answer"... | visualtoolbench_maths | multi-turn | maths | progressive_visual_reasoning | 68945807bca2ef544664fcb5 |
[
"VisualToolBench/data/sports_multiturn_0084_turn0.png"
] | visualtoolbench_sports_multiturn_0085 | <image>
| ['{"4df5040e-3757-4b78-984a-a4419994646d": {"description": "Correctly read the scoreboard as Kessy/Ross 11 vs May-Treanor/Walsh 12", "weight": 4, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["visual understanding"], "critical": "yes", "final_answer": "yes"}, "4df5040e-3757-4b78-984... | visualtoolbench_sports | multi-turn | sports | progressive_visual_reasoning | 68a751edb8f6dc01ae3eb74d |
[
"VisualToolBench/data/medical_multiturn_0111_turn0.png",
"VisualToolBench/data/medical_multiturn_0111_turn1.png"
] | visualtoolbench_medical_multiturn_0112 | <image>
<image>
| ['{"70be4015-5326-4fe4-995f-304328d07fe2": {"description": "Identify that knowing only the condition of the body\'s front area is insufficient to estimate total body surface area burned", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction following", "truthfulne... | visualtoolbench_medical | multi-turn | medical | follow_up_test | 68ae29bdbad629f62563bba5 |
[
"VisualToolBench/data/medical_multiturn_0102_turn0.png"
] | visualtoolbench_medical_multiturn_0103 | <image>
| ['{"bdbe344f-f6f3-493b-b17c-e807c91a431c": {"description": "Identify the oblique lucent line in the cortex of the upper tibial shaft that indicates a fracture.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["visual understanding", "truthfulness"], "critical": "yes", "f... | visualtoolbench_medical | multi-turn | medical | progressive_visual_reasoning | 68a751edb8f6dc01ae3eb74f |
[
"VisualToolBench/data/medical_multiturn_0105_turn0.png",
"VisualToolBench/data/medical_multiturn_0105_turn1.png",
"VisualToolBench/data/medical_multiturn_0105_turn2.png"
] | visualtoolbench_medical_multiturn_0106 | <image>
<image>
<image>
| ['{"84bf3514-bb6f-46b6-970a-be1b456c8661": {"description": "Identify the views in the image as the Coronal view and the Sagittal view of the ankle.", "weight": 4, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction following", "visual understanding", "truthfulness"], "critica... | visualtoolbench_medical | multi-turn | medical | temporal_sequential_reasoning | 68a7531b438412585cfffabc |
[
"VisualToolBench/data/finance_singleturn_0048.png"
] | visualtoolbench_finance_singleturn_0049 | <image>
If, for this same period the following year, the value for the rightmost profit was 5% less than the second-rightmost profit the previous year, how much profit did the company keep for every $1 of sales made? Also report the prior-year revenue shown in the chart and the resulting next-year net profit you comput... | ['{"b8dc2bfe-3e46-40e8-8bd3-f2dc084bde1a": {"description": "The response determines that the company keeps $0.277 for every $1 of sales or income.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction following", "reasoning", "truthfulness"], "critical": "yes", "... | visualtoolbench_finance | single-turn | finance | hybrid_tool_reasoning | 68757ac94c044bac23c9bdcb |
[
"VisualToolBench/data/medical_singleturn_0103.png"
] | visualtoolbench_medical_singleturn_0104 | <image>
A 44-year-old female patient presents with abdominal pain and is otherwise unremarkable. She has a history of appendectomy and cholecystectomy. A CT was performed for further investigation. Are there any visible abnormalities seen in the image? Also, can you identify if there are any incidental findings? | ['{"9e80ef86-0af9-474e-861b-d488ddb390e9": {"description": "The model identifies that in the CT images there are no visible significant abnormalities such as abnormal masses, obstruction, or inflammation.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction foll... | visualtoolbench_medical | single-turn | medical | hybrid_tool_reasoning | 6883f999d3f384b2a9a3e685 |
[
"VisualToolBench/data/finance_multiturn_0023_turn0.png",
"VisualToolBench/data/finance_multiturn_0023_turn1.png"
] | visualtoolbench_finance_multiturn_0024 | <image>
<image>
| ['{"def9ea37-8bf5-4c67-9685-3b94dd479a2f": {"description": "Correctly extracts Current Assets (7,675) and Current Liabilities (3,630) for 2008", "weight": 4, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["visual understanding"], "critical": "yes", "final_answer": "no"}, "def9ea37-8b... | visualtoolbench_finance | multi-turn | finance | temporal_sequential_reasoning | 68a4c61f4f77bfe458d153ba |
[
"VisualToolBench/data/physics_multiturn_0018_turn0.png",
"VisualToolBench/data/physics_multiturn_0018_turn1.png"
] | visualtoolbench_physics_multiturn_0019 | <image>
<image>
| ['{"889ff5cc-e115-4c0f-be6b-85f27193be2e": {"description": "Identifies that the circuit\'s topology is the essential missing information from the component value list", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction following", "truthfulness", "visual unders... | visualtoolbench_physics | multi-turn | physics | follow_up_test | 68acdfef325a5b1e77c7bf33 |
[
"VisualToolBench/data/medical_singleturn_0056.png"
] | visualtoolbench_medical_singleturn_0057 | <image>
ecently underwent genetic testing, as seen in the image attached. Based on these results and given my husband has no genetic abnormalities, what are the possible genetic diseases our children can inherit, and what are the chances they are carriers of any genetic diseases? | ['{"fb0b08df-a918-4eac-8cb8-122cf1db9363": {"description": "The response states that there is a 50% chance that the user\'s children will inherit the trait for hypertrophic cardiomyopathy and be affected by the disease since the user is heterozygous for the trait and it is an autosomal dominant disease.", "weight": 5, ... | visualtoolbench_medical | single-turn | medical | region_switch_qa | 68757ac94c044bac23c9be4c |
[
"VisualToolBench/data/finance_singleturn_0104.png"
] | visualtoolbench_finance_singleturn_0105 | <image>
How much did I spend on June 19, 2025 and June 28, 2025 on food and drinks, respectively? I also bought some clothes that spend me $249.73 on June 21, in what year the founder of that brand born? | ['{"4a412a35-9603-412e-bdff-2df95ec2f96a": {"description": "Correctly extract $122.57 as the user\'s spending on food and drinks on June 19, 2025", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["reasoning", "truthfulness"], "critical": "yes", "final_answer": "yes"}, "4a... | visualtoolbench_finance | single-turn | finance | hybrid_tool_reasoning | 6883f999d3f384b2a9a3e611 |
[
"VisualToolBench/data/sports_multiturn_0109_turn0.png",
"VisualToolBench/data/sports_multiturn_0109_turn1.png"
] | visualtoolbench_sports_multiturn_0110 | <image>
<image>
| ['{"b1b6764c-dc84-4569-9a05-89cd94acd683": {"description": "The model identifies that the number \'8\' in the partial image is ambiguous between race position and current gear.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["visual understanding", "reasoning"], "critic... | visualtoolbench_sports | multi-turn | sports | follow_up_test | 68ae29bdbad629f62563bb93 |
[
"VisualToolBench/data/medical_multiturn_0094_turn0.png",
"VisualToolBench/data/medical_multiturn_0094_turn1.png"
] | visualtoolbench_medical_multiturn_0095 | <image>
<image>
| ['{"84f7164e-3f49-42e2-a923-f8ff2dfa68c4": {"description": "Identify multiple foreign objects in the stomach", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["visual understanding"], "critical": "yes", "final_answer": "yes"}, "84f7164e-3f49-42e2-a923-f8ff2dfa68c4_75": {"... | visualtoolbench_medical | multi-turn | medical | follow_up_test | 68ae29bdbad629f62563bb9e |
[
"VisualToolBench/data/medical_multiturn_0060_turn0.png",
"VisualToolBench/data/medical_multiturn_0060_turn1.png"
] | visualtoolbench_medical_multiturn_0061 | <image>
<image>
| ['{"9ec33977-5295-41b8-b101-faf7ec5a1450": {"description": "Response mentions that the MM MC- condition generated the largest extracellular vesicles across all three Fonsecaea species.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction following", "truthfulnes... | visualtoolbench_medical | multi-turn | medical | temporal_sequential_reasoning | 68a4c61f4f77bfe458d153e8 |
[
"VisualToolBench/data/generalist_singleturn_0006.png"
] | visualtoolbench_generalist_singleturn_0007 | <image>
My friend is getting rid of his Nintendo Switch game collection. From the games shown in the image, which ones do not have Mario on the cover? And which of these, without Mario on the cover, were originally released for a previous console generation? I would like to ask him if he could gift me one of those for ... | ['{"3ac458ce-60dd-485c-a21d-77bb76712e0b": {"description": "The response explicitly lists the following games without Mario on the cover: Captain Toad: Treasure Tracker, Yoshi’s Crafted World, WarioWare: Get It Together!, Luigi’s Mansion 3, Donkey Kong Country: Tropical Freeze.", "weight": 5, "objective/subjective": "o... | visualtoolbench_generalist | single-turn | generalist | hybrid_tool_reasoning | 6883f999d3f384b2a9a3e605 |
[
"VisualToolBench/data/finance_multiturn_0076_turn0.png",
"VisualToolBench/data/finance_multiturn_0076_turn1.png"
] | visualtoolbench_finance_multiturn_0077 | <image>
<image>
| ['{"931ad9db-ebdb-49e3-a97f-09cc1976aa07": {"description": "The model identifies that the image does not contain all the necessary information to solve the task.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["visual understanding", "reasoning"], "critical": "yes", "fi... | visualtoolbench_finance | multi-turn | finance | follow_up_test | 68ae29bdbad629f62563bb72 |
[
"VisualToolBench/data/finance_singleturn_0016.png"
] | visualtoolbench_finance_singleturn_0017 | <image>
Identify the five most expensive items on the receipt, counting each item only once regardless of duplicates. Remove these items from the receipt and recalculate the total price, applying the same tax percentage. Round the results to non-integer values to two decimal places. | ['{"c2c3d597-af6c-4e52-a306-a6eb7f0a57b3": {"description": "Identify the five unique most expensive items in the receipt: TIDE, 18CT FLA HOT, NABISCO CKY, PED SB 3.5LB, DAWN", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction following", "truthfulness", "visual... | visualtoolbench_finance | single-turn | finance | hybrid_tool_reasoning | 6883f999d3f384b2a9a3e62f |
[
"VisualToolBench/data/sports_multiturn_0105_turn0.png",
"VisualToolBench/data/sports_multiturn_0105_turn1.png"
] | visualtoolbench_sports_multiturn_0106 | <image>
<image>
| ['{"a41fc864-c617-4ac4-8825-1d85d3e5646e": {"description": "The model states that the time elapsed since kickoff is 16:10", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["truthfulness"], "critical": "yes", "final_answer": "yes"}, "a41fc864-c617-4ac4-8825-1d85d3e5646e_19... | visualtoolbench_sports | multi-turn | sports | temporal_sequential_reasoning | 68a7531b438412585cfffaa4 |
[
"VisualToolBench/data/finance_singleturn_0011.png"
] | visualtoolbench_finance_singleturn_0012 | <image>
From the latest recorded date, what's the total current assets if you only consider amounts above 10,000 (million dollars)? How many percentage is the short term debt of the same date from the obtained total current assets that only considers the amount above 10,000 (million dollars)? | ['{"28619ee0-7fea-4040-b3f8-ec3cb2838e0f": {"description": "The model correctly identifies the amounts above 10,000 (million dollars) in the current assets category from the latest recorded date of 09/2015 as 21,120, 20,481, and 30,343.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "implicit"... | visualtoolbench_finance | single-turn | finance | hybrid_tool_reasoning | 68757ac94c044bac23c9bdad |
[
"VisualToolBench/data/medical_multiturn_0103_turn0.png",
"VisualToolBench/data/medical_multiturn_0103_turn1.png"
] | visualtoolbench_medical_multiturn_0104 | <image>
<image>
| ['{"7338b005-0fbe-4d0a-9a42-0a633b4640ee": {"description": "The response acknowledges from visual analysis that the required sagittal view is missing to describe the arbor vitae.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["visual understanding", "truthfulness"], "c... | visualtoolbench_medical | multi-turn | medical | follow_up_test | 68ae29bdbad629f62563bb9b |
[
"VisualToolBench/data/sports_multiturn_0029_turn0.png"
] | visualtoolbench_sports_multiturn_0030 | <image>
| ['{"fcebab29-3cad-4fd5-b7ac-87efb3b25949": {"description": "Extract and identify the two first-in-division (D1) teams in the Western Conference from the bracket as WPG (Winnipeg Jets) and VGK (Vegas Golden Knights).", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["truth... | visualtoolbench_sports | multi-turn | sports | progressive_visual_reasoning | 68945807bca2ef544664fc89 |
[
"VisualToolBench/data/medical_singleturn_0019.png"
] | visualtoolbench_medical_singleturn_0020 | <image>
Take a look at these four dental X-rays of tooth 26. Which one gives the best view of the area around the root tip (periapical area)? Which imaging technique was used here? And, Which is the specialist that treats the condition showed in the image? | ['{"1b9659b1-83bc-4a65-b1e4-253e3d71264b": {"description": "The response identifies image b as having the clearest view of the periapical area", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["visual understanding", "truthfulness", "instruction following"], "critical": "... | visualtoolbench_medical | single-turn | medical | hybrid_tool_reasoning | 68840c96f55c9fdcd3543e1f |
[
"VisualToolBench/data/sports_singleturn_0000.png"
] | visualtoolbench_sports_singleturn_0001 | <image>
In what year was the event held? The player in blue shirt is from India and she's doing a badminton smash. If the shuttlecock lands on the red circle, what will be the new match score? | ['{"40ded5c8-b740-4727-a2bc-880d4e5071fa": {"description": "Correctly identify the event as \'The 19th Asian Games\'.", "weight": 3, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction following", "truthfulness", "visual understanding"], "critical": "yes", "final_answer": "ye... | visualtoolbench_sports | single-turn | sports | region_switch_qa | 68757ac94c044bac23c9be28 |
[
"VisualToolBench/data/sports_multiturn_0118_turn0.png",
"VisualToolBench/data/sports_multiturn_0118_turn1.png"
] | visualtoolbench_sports_multiturn_0119 | <image>
<image>
| ['{"a0ed9c8a-30d4-4291-92c3-198ef1fb10f2": {"description": "Response correctly identifies the left-side player as Sébastien Patrice from FRA", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["visual understanding", "truthfulness"], "critical": "yes", "final_answer": "yes"... | visualtoolbench_sports | multi-turn | sports | temporal_sequential_reasoning | 688aae60280b9a5986c97ed0 |
[
"VisualToolBench/data/sports_singleturn_0092.png"
] | visualtoolbench_sports_singleturn_0093 | <image>
Can you look at this heatmap and tell me in which area Fiorentina was most active during the first half? And for Juventus, wich area did they spend most time in during second half? | ['{"3e43dc0a-ce3c-4d0c-90d3-1ed7e421cbba": {"description": "The response correctly identifies the area of the field where Fiorentina was most active in the first half and the area where Juventus spent the most time in the second half", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "... | visualtoolbench_sports | single-turn | sports | region_switch_qa | 68757ac94c044bac23c9be10 |
[
"VisualToolBench/data/medical_singleturn_0009.png"
] | visualtoolbench_medical_singleturn_0010 | <image>
Can you list all markers that show a significant (>10%) deviation between P1 and P2? Only include specific submarkers, avoiding the lines showing the parent population percentages. | ['{"7f431bed-bfc8-40a7-9d02-e51ff20f3fb8": {"description": "List only those specific submarkers whose difference between P1 and P2 percentages is greater than 10%", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction following", "reasoning", "truthfulness", "visu... | visualtoolbench_medical | single-turn | medical | hybrid_tool_reasoning | 68757ac94c044bac23c9be69 |
[
"VisualToolBench/data/sports_multiturn_0020_turn0.png",
"VisualToolBench/data/sports_multiturn_0020_turn1.png"
] | visualtoolbench_sports_multiturn_0021 | <image>
<image>
| ['{"7471c5df-0be9-4437-b2d1-4f28abb88066": {"description": "Extracts the exact timestamp indicated by the vertical line on the velocity vs. time graph.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction following", "visual understanding"], "critical": "yes", "... | visualtoolbench_sports | multi-turn | sports | temporal_sequential_reasoning | 68a4c61f4f77bfe458d153ce |
[
"VisualToolBench/data/sports_singleturn_0018.png"
] | visualtoolbench_sports_singleturn_0019 | <image>
Analyze the provided map of the main 'Le Race' route to identify the two high-altitude segments designated by the 'King & Queen of the Mountain' icons. Conduct a precise count of the 'First Aid' stations located strictly within the boundaries of these two climbs. Assuming each of these specific stations is staf... | ['{"1e703699-76d4-47ca-90ff-1d440cf0c81f": {"description": "Identifies exactly two \'First Aid\' stations located within the \'King & Queen of the Mountain\' climbs", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction following", "truthfulness", "visual understa... | visualtoolbench_sports | single-turn | sports | hybrid_tool_reasoning | 68757ac94c044bac23c9be17 |
[
"VisualToolBench/data/finance_singleturn_0096.png"
] | visualtoolbench_finance_singleturn_0097 | <image>
Based on the dashed line in the price chart shown, what was the highest price that the U.S. Dollar reached during the month of May? Then, research what the GBP peaked at against the EUR in this same month, and did this peak occur at the same point of the month, or earlier or later? | ['{"da84da50-e8ae-4cfe-a71d-e37b784ffcc7": {"description": "Identify the highest price of the USD in May 2025 from the chart, within a tolerance range of €0.9030 to €0.9040", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["visual understanding"], "critical": "yes", "fina... | visualtoolbench_finance | single-turn | finance | hybrid_tool_reasoning | 68757ac94c044bac23c9bde3 |
[
"VisualToolBench/data/physics_singleturn_0019.png"
] | visualtoolbench_physics_singleturn_0020 | <image>
Can you help me with the car problem shown in the image? It gives the initial conditions. What will be the final speed of the cars if they stick together after the perfectly inelastic collision with no friction? | ['{"2c8b79c1-7d9b-4c9b-9fa1-0bf1d7ab9fbe": {"description": "Identifies that the speed and mass of one of the cars are 4 m/s and 2 kg", "weight": 4, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["truthfulness", "visual understanding"], "critical": "yes", "final_answer": "no"}, "2c8b7... | visualtoolbench_physics | single-turn | physics | hybrid_tool_reasoning | 6870357d15624e798bfc83bf |
[
"VisualToolBench/data/sports_singleturn_0044.png"
] | visualtoolbench_sports_singleturn_0045 | <image>
How many missed and saved shots did the player make from outside the goal area and penalty arc? | ['{"a33a3cdd-c450-4537-ae1e-820a3c01f740": {"description": "The model recognizes that missed shots are represented by empty circles and saved shots by filled circles.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["reasoning", "truthfulness", "visual understanding"], "... | visualtoolbench_sports | single-turn | sports | hybrid_tool_reasoning | 68757ac94c044bac23c9be22 |
[
"VisualToolBench/data/finance_multiturn_0075_turn0.png",
"VisualToolBench/data/finance_multiturn_0075_turn1.png"
] | visualtoolbench_finance_multiturn_0076 | <image>
<image>
| ['{"0929c427-cefa-4ce1-be1c-bd73c3aba788": {"description": "The model asks for information about the size of each family.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["reasoning", "truthfulness", "visual understanding"], "critical": "yes", "final_answer": "no"}}'
'{... | visualtoolbench_finance | multi-turn | finance | follow_up_test | 68acdfef325a5b1e77c7bef9 |
[
"VisualToolBench/data/generalist_multiturn_0054_turn0.png",
"VisualToolBench/data/generalist_multiturn_0054_turn1.png"
] | visualtoolbench_generalist_multiturn_0055 | <image>
<image>
| ['{"f8559b7e-642d-46aa-96a7-8ca2385d2b57": {"description": "Recognizes that the image does not contain enough information to determine the properties owned by the player.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["reasoning", "visual understanding"], "critical": "... | visualtoolbench_generalist | multi-turn | generalist | follow_up_test | 68ae29bdbad629f62563bb68 |
[
"VisualToolBench/data/finance_multiturn_0038_turn0.png",
"VisualToolBench/data/finance_multiturn_0038_turn1.png",
"VisualToolBench/data/finance_multiturn_0038_turn2.png"
] | visualtoolbench_finance_multiturn_0039 | <image>
<image>
<image>
| ['{"abc81298-c055-4c13-af43-9d45ad42c0ee": {"description": "Identify the cash generated from operations for 2010 (389 million).", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["visual understanding"], "critical": "yes", "final_answer": "no"}, "76e01668-5a0d-4293-84a4-88... | visualtoolbench_finance | multi-turn | finance | progressive_visual_reasoning | 68945807bca2ef544664fc79 |
[
"VisualToolBench/data/generalist_multiturn_0102_turn0.png",
"VisualToolBench/data/generalist_multiturn_0102_turn1.png"
] | visualtoolbench_generalist_multiturn_0103 | <image>
<image>
| ['{"60ba26a5-09dd-421b-b830-05008c766824": {"description": "Response identifies that flight BA6752 is delayed because the departure time has been updated from 8:55am to 9:55am.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction following", "reasoning", "truthf... | visualtoolbench_generalist | multi-turn | generalist | temporal_sequential_reasoning | 68a751edb8f6dc01ae3eb720 |
[
"VisualToolBench/data/finance_multiturn_0013_turn0.png",
"VisualToolBench/data/finance_multiturn_0013_turn1.png"
] | visualtoolbench_finance_multiturn_0014 | <image>
<image>
| ['{"b3f26c8a-5826-42f1-bcf4-a99416ee76de": {"description": "The response identifies that on August 5 at 1 a.m., the cryptocurrency price is approximately $114,985, and at 4 a.m., it is approximately $114,207.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["visual under... | visualtoolbench_finance | multi-turn | finance | temporal_sequential_reasoning | 68945807bca2ef544664fc6c |
[
"VisualToolBench/data/sports_singleturn_0077.png"
] | visualtoolbench_sports_singleturn_0078 | <image>
I'm studying soccer tactics for edge-case scenarios, and I found this picture interesting. Let's start with a quick analysis. How many players does the defending team have outside of the image, ready for a possible counter-attack scenario? And how many players does the attacking team have outside of the image t... | ['{"4186f05e-7d42-4ffd-9946-5811a10e8024": {"description": "The model correctly identifies that the defending team has 0 players outside the image.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction following", "reasoning", "truthfulness", "visual understandin... | visualtoolbench_sports | single-turn | sports | region_switch_qa | 68757ac94c044bac23c9be34 |
[
"VisualToolBench/data/finance_singleturn_0089.png"
] | visualtoolbench_finance_singleturn_0090 | <image>
According to the graph, what was the approximate value of the index at 11.30AM? Then, calculate the percentage difference between this value and the high value from the 'Year Range' data. | ['{"257b57f6-066a-4b14-b632-0bff011afe0f": {"description": "Extract the approximate value of the index at 11:30 AM from the graph (acceptable range 81,700–81,750)", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["visual understanding"], "critical": "yes", "final_answer":... | visualtoolbench_finance | single-turn | finance | hybrid_tool_reasoning | 68757ac94c044bac23c9bdd9 |
[
"VisualToolBench/data/generalist_multiturn_0046_turn0.png",
"VisualToolBench/data/generalist_multiturn_0046_turn1.png"
] | visualtoolbench_generalist_multiturn_0047 | <image>
<image>
| ['{"6e40abe6-4cb8-4d5e-8cb7-4a56eff15df3": {"description": "The model asks for a clarifying question about which soda the user is referring to.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["reasoning", "visual understanding"], "critical": "yes", "final_answer": "yes"... | visualtoolbench_generalist | multi-turn | generalist | follow_up_test | 68acdfef325a5b1e77c7beef |
[
"VisualToolBench/data/biology_multiturn_0020_turn0.png",
"VisualToolBench/data/biology_multiturn_0020_turn1.png"
] | visualtoolbench_biology_multiturn_0021 | <image>
<image>
| ['{"07d70c61-13e7-45ab-bfb5-266b444cd61e": {"description": "The model recognizes that the image provides the molecular weight of the protein", "weight": 3, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["visual understanding", "reasoning"], "critical": "yes", "final_answer": "yes"}, ... | visualtoolbench_biology | multi-turn | biology | follow_up_test | 68acdfef325a5b1e77c7bf40 |
[
"VisualToolBench/data/sports_singleturn_0060.png"
] | visualtoolbench_sports_singleturn_0061 | <image>
How many shots were attempted in this game? Of those shots, how many 2 and 3-point shots went in the yellow basket, assuming no free-throws were made? how many successful shots were made inside the circular area having the free-throw line as the diameter? | ['{"34a81c56-685c-474e-a46d-680b98017aa1": {"description": "Model correctly states that there were 23 shot attempts.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["truthfulness", "visual understanding"], "critical": "yes", "final_answer": "yes"}, "34a81c56-685c-474e-a... | visualtoolbench_sports | single-turn | sports | region_switch_qa | 6883f999d3f384b2a9a3e651 |
[
"VisualToolBench/data/sports_multiturn_0087_turn0.png",
"VisualToolBench/data/sports_multiturn_0087_turn1.png"
] | visualtoolbench_sports_multiturn_0088 | <image>
<image>
| ['{"9530e3ca-07a4-49e1-b857-af35a9581592": {"description": "Identifies missing current lap, estimated lap for fuel depletion, and tire status and lifespan from the image", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["reasoning", "visual understanding", "truthfulness"]... | visualtoolbench_sports | multi-turn | sports | follow_up_test | 68ae29bdbad629f62563bb86 |
[
"VisualToolBench/data/biology_singleturn_0009.png"
] | visualtoolbench_biology_singleturn_0010 | <image>
Scientists genetically engineered mice using osteoblast (OB)-specific Col1a1-Cre and a green fluorescent protein (GFP) construct containing a mitochondrial targeting sequence, resulting in selective GFP expression in the mitochondrial matrix of OBs. OBs were isolated, and osteogenesis was induced at day 0. At d... | ['{"ee8fc32f-6177-422b-9cc0-8c5e119369e4": {"description": "The response correctly identifies that the process highlighted by the yellow arrows and boxes in panel I is mitochondrial-derived vesicle (MDV) secretion and does not suggest any other processes.", "weight": 5, "objective/subjective": "objective", "explicit/im... | visualtoolbench_biology | single-turn | biology | region_switch_qa | 68757ac94c044bac23c9bec0 |
[
"VisualToolBench/data/sports_singleturn_0045.png"
] | visualtoolbench_sports_singleturn_0046 | <image>
Use my season stats to tell me which of my outfielders has the best batting average. | ['{"6a210816-450e-43c7-90ad-08b5dc3420ec": {"description": "Identify the three outfielders and their correct hits and at-bats values", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["truthfulness"], "critical": "yes", "final_answer": "no"}, "6a210816-450e-43c7-90ad-08b5d... | visualtoolbench_sports | single-turn | sports | hybrid_tool_reasoning | 6883f999d3f384b2a9a3e63c |
[
"VisualToolBench/data/finance_singleturn_0030.png"
] | visualtoolbench_finance_singleturn_0031 | <image>
For this chart, I need your help to define the result of my earnings, as I am practicing the use of the head-and-shoulders pattern. What I want is: identify the month in which each event occurs (shoulder, head, shoulder) and then, considering the nearest multiple of 4,000 to each event, carry out the following ... | ['{"cc95abd1-bb30-43cd-b18c-06089be03041": {"description": "The response identifies the head-and-shoulders pattern events (first shoulder around 52,000 in September, head around 68,000 in November, and second shoulder around 52,000 in December).", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "... | visualtoolbench_finance | single-turn | finance | hybrid_tool_reasoning | 68757ac94c044bac23c9bdbf |
[
"VisualToolBench/data/medical_multiturn_0083_turn0.png"
] | visualtoolbench_medical_multiturn_0084 | <image>
| ['{"6e7908da-5054-451e-8633-e0b0869dbc89": {"description": "The response correctly identifies the middle image in panel A as a sagittal T2-weighted MRI of the brain.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["visual understanding"], "critical": "yes", "final_answe... | visualtoolbench_medical | multi-turn | medical | progressive_visual_reasoning | 68a4c61f4f77bfe458d153e3 |
[
"VisualToolBench/data/biology_singleturn_0005.png"
] | visualtoolbench_biology_singleturn_0006 | <image>
Using the image, list the action potential phases in order. For each phase, quote the exact phrase(s) from the image and state which ion moves in/out, the state of Na$^+$ and K$^+$ channels, and the sign and relative size of the Na$^+$ driving force. Cite text from ≥3 labelled regions. Then, say whether a secon... | ['{"e7a2148c-6e6f-4843-b4d4-92f571a430f2": {"description": "List the action potential phases in the correct sequence: rest → depolarisation → peak → repolarisation → after hyperpolarisation → recovery.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction followi... | visualtoolbench_biology | single-turn | biology | hybrid_tool_reasoning | 6883f999d3f384b2a9a3e6aa |
[
"VisualToolBench/data/generalist_multiturn_0111_turn0.png",
"VisualToolBench/data/generalist_multiturn_0111_turn1.png"
] | visualtoolbench_generalist_multiturn_0112 | <image>
<image>
| ['{"d50a7998-3f72-4b00-b394-2f9f7ffab6a3": {"description": "Identifies the largest animal in the image", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction following", "visual understanding"], "critical": "yes", "final_answer": "yes"}, "d50a7998-3f72-4b00-b394-2... | visualtoolbench_generalist | multi-turn | generalist | temporal_sequential_reasoning | 68945807bca2ef544664fc66 |
[
"VisualToolBench/data/sports_singleturn_0095.png"
] | visualtoolbench_sports_singleturn_0096 | <image>
The image showed the Badminton World Championship Mixed Doubles final. This is the final rally. Could you identify which player is serving by mentioning the gender and color of jersey? Who is to receive the serve, in order to be a legitimate serve? Based on the scoreboard, who was leading and how far were they ... | ['{"f5fcc6ab-b5e0-4727-8624-e515897614b0": {"description": "Identify that the male player in white jersey was serving the shuttlecock", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction following", "visual understanding"], "critical": "yes", "final_answer": "ye... | visualtoolbench_sports | single-turn | sports | hybrid_tool_reasoning | 68757ac94c044bac23c9be15 |
[
"VisualToolBench/data/medical_singleturn_0030.png"
] | visualtoolbench_medical_singleturn_0031 | <image>
Based on the mean night-time intragastric pH-time profiles shown, compare the onset time and duration of acid suppression efficacy for each drug. Which drug reaches and maintains intragastric pH above 4 most effectively during the 12-hour night period? What is its dosage and mechanism of action? | ['{"9fddf0d7-b4c4-45ef-9363-31860413e22e": {"description": "The response correctly identifies Tegoprazan as the drug that most effectively reaches and maintains intragastric pH above 4 during the 12-hour night period.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["tru... | visualtoolbench_medical | single-turn | medical | hybrid_tool_reasoning | 68757ac94c044bac23c9be77 |
[
"VisualToolBench/data/biology_singleturn_0018.png"
] | visualtoolbench_biology_singleturn_0019 | <image>
I recently ran this experiment, which can be seen in the attached image, but I have been noticing some unexpected findings at the lower molecular weight region (arrow). Can you tell me what does these represent in my experiment? Also, can these be avoided by any means without changing the reagents and concentra... | ['{"b04e7592-1c9d-459a-b3f4-5387900912f2": {"description": "Identify the bands pointed with an arrow in the agarose gel electrophoresis image as primer-dimers.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction following", "reasoning", "truthfulness", "visual ... | visualtoolbench_biology | single-turn | biology | hybrid_tool_reasoning | 68757ac94c044bac23c9bec1 |
[
"VisualToolBench/data/finance_multiturn_0009_turn0.png",
"VisualToolBench/data/finance_multiturn_0009_turn1.png"
] | visualtoolbench_finance_multiturn_0010 | <image>
<image>
| ['{"e495dcc8-6187-4ceb-b415-f62b3b2c722f": {"description": "The response identifies that November and December data are missing and requests the missing values to proceed.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["reasoning", "truthfulness", "visual understanding... | visualtoolbench_finance | multi-turn | finance | follow_up_test | 68ae29bdbad629f62563bb71 |
[
"VisualToolBench/data/generalist_multiturn_0024_turn0.png"
] | visualtoolbench_generalist_multiturn_0025 | <image>
| ['{"ffc27606-324f-4b48-865f-3bab4d3ec0dd": {"description": "Recognize the poker hands: Player A has King of Hearts and Queen of Hearts; Player B has Queen of Clubs and 8 of Spades; Player C has 7 of Spades and 8 of Diamonds; and the community cards are 3 of Diamonds, 5 of Diamonds, 9 of Spades, 10 of Hearts, and Jack o... | visualtoolbench_generalist | multi-turn | generalist | progressive_visual_reasoning | 68a751edb8f6dc01ae3eb725 |
[
"VisualToolBench/data/sports_singleturn_0039.png"
] | visualtoolbench_sports_singleturn_0040 | <image>
In this image from the 2024-2025 NBA Finals, the player has just taken a jump shot. What percentage of his total points scored during the 2024-2025 regular season came from three-pointers (round the answer to whole percentage point)? | ['{"a75d8505-a7f5-4581-9206-928f0efbdf59": {"description": "The response correctly extracts the player\'s jersey number and team from the image", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["visual understanding"], "critical": "yes", "final_answer": "no"}, "a75d8505-a... | visualtoolbench_sports | single-turn | sports | hybrid_tool_reasoning | 6883f999d3f384b2a9a3e650 |
[
"VisualToolBench/data/generalist_singleturn_0008.png"
] | visualtoolbench_generalist_singleturn_0009 | <image>
Can you find the owner's manual for this item? I keep getting an overload message on the display. What does it mean and what do I need to do to fix this issue? And just in case, find contact information for customer support. | ['{"9777ff8c-d353-425e-83fe-6366340ecc0c": {"description": "Identify the item in the photo as the GE Profile Smart Mixer with Auto Sense.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["truthfulness", "visual understanding"], "critical": "yes", "final_answer": "no"}, "... | visualtoolbench_generalist | single-turn | generalist | hybrid_tool_reasoning | 68757ac94c044bac23c9bd77 |
[
"VisualToolBench/data/sports_multiturn_0095_turn0.png"
] | visualtoolbench_sports_multiturn_0096 | <image>
| ['{"b27e5972-181f-4b6f-b306-602b03887c1b": {"description": "The model correctly calculates Barnes\'s running total score in frame seven as 178+10+8+2=198", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["reasoning", "truthfulness"], "critical": "yes", "final_answer": "ye... | visualtoolbench_sports | multi-turn | sports | progressive_visual_reasoning | 68a7531b438412585cfffaab |
[
"VisualToolBench/data/medical_multiturn_0017_turn0.png",
"VisualToolBench/data/medical_multiturn_0017_turn1.png"
] | visualtoolbench_medical_multiturn_0018 | <image>
<image>
| ['{"43dc2c89-8f8c-48fd-ad65-29043c8a0001": {"description": "The model recognizes that the maximum reference value for glucose is not present in the image and reports that it cannot extract it.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["visual understanding"], "cri... | visualtoolbench_medical | multi-turn | medical | follow_up_test | 68ae29bdbad629f62563bbac |
[
"VisualToolBench/data/physics_singleturn_0000.png"
] | visualtoolbench_physics_singleturn_0001 | <image>
Consider the worked example in the bottom-right corner of the notes. Using the two initial photoelectric effect equations and the relationship between the two wavelengths used in the derivation, derive a final formula for the work function (W) of the metal in terms of only the kinetic energies of the ejected el... | ['{"34574995-d1e2-44ce-bd9f-84eb50115427": {"description": "Identify the two initial equations from the worked example: hc/λ1 = W + KE1 and hc/λ2 = W + KE2", "weight": 4, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction following", "visual understanding"], "critical": "yes... | visualtoolbench_physics | single-turn | physics | hybrid_tool_reasoning | 68658a711603983919432624 |
[
"VisualToolBench/data/maths_singleturn_0010.png"
] | visualtoolbench_maths_singleturn_0011 | <image>
What is the measure of angle CAB in the triangle shown in the image? | ['{"d021b41e-a98d-4e2b-a3f2-551893004332": {"description": "Correctly identifies the given angles m∠ABC = 42° and m∠ACB = 20.1° from the provided triangle image", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["instruction following", "truthfulness", "visual understandin... | visualtoolbench_maths | single-turn | maths | hybrid_tool_reasoning | 68757ac94c044bac23c9beb7 |
[
"VisualToolBench/data/finance_multiturn_0039_turn0.png",
"VisualToolBench/data/finance_multiturn_0039_turn1.png",
"VisualToolBench/data/finance_multiturn_0039_turn2.png"
] | visualtoolbench_finance_multiturn_0040 | <image>
<image>
<image>
| ['{"3e4a13d3-1ddc-408f-800b-6e160541c5cb": {"description": "Identifies the Gross Profit Margin values for 2025, 2026, and 2027 as -1%, 38%, and 54%, respectively.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["visual understanding"], "critical": "yes", "final_answer":... | visualtoolbench_finance | multi-turn | finance | progressive_visual_reasoning | 68945807bca2ef544664fc6d |
[
"VisualToolBench/data/generalist_multiturn_0098_turn0.png",
"VisualToolBench/data/generalist_multiturn_0098_turn1.png"
] | visualtoolbench_generalist_multiturn_0099 | <image>
<image>
| ['{"f7c468b9-5f5c-442f-b12a-bb0fe6381e64": {"description": "The model identifies that the line numbers corresponding to each color are not provided in the image and are necessary to solve the problem.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["reasoning", "visual ... | visualtoolbench_generalist | multi-turn | generalist | follow_up_test | 68ae29bdbad629f62563bb62 |
[
"VisualToolBench/data/maths_multiturn_0020_turn0.png"
] | visualtoolbench_maths_multiturn_0021 | <image>
| ['{"b39e7f9a-7743-4945-bebf-499ad2513d74": {"description": "The response identifies that the graph labeled \\"a\\" is the one that best represents the regression line for the four blue points.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction following", "tru... | visualtoolbench_maths | multi-turn | maths | progressive_visual_reasoning | 68a751edb8f6dc01ae3eb76f |
[
"VisualToolBench/data/maths_multiturn_0015_turn0.png"
] | visualtoolbench_maths_multiturn_0016 | <image>
| ['{"2c614ed0-d215-436f-b6b3-34222569a0b2": {"description": "Identify the coordinates of the five points shown in the image: 1. (5,3); 2. (-5,2); 3. (-1,-3); 4. (4,-2); 5. (0,-3)", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["visual understanding"], "critical": "yes", ... | visualtoolbench_maths | multi-turn | maths | progressive_visual_reasoning | 68945807bca2ef544664fcb3 |
[
"VisualToolBench/data/biology_multiturn_0002_turn0.png"
] | visualtoolbench_biology_multiturn_0003 | <image>
| ['{"76d99089-9840-4abb-bcd1-d24a64e3b7a1": {"description": "The model explains that lower PRNT50 levels indicate higher antiviral potency", "weight": 4, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["reasoning", "truthfulness"], "critical": "no", "final_answer": "no"}, "76d99089-984... | visualtoolbench_biology | multi-turn | biology | progressive_visual_reasoning | 68a7531b438412585cfffadd |
[
"VisualToolBench/data/sports_singleturn_0035.png"
] | visualtoolbench_sports_singleturn_0036 | <image>
A routine fair grounder is hit directly to the third baseman positioned on/near the bag. Using these timing assumptions: tagging a base takes 0.25 s, throw release 0.55 s, catch 0.20 s, throw speed 85 mph, distances 3B→2B = 90 ft and 3B→1B = 127.3 ft. Compute which option ends the inning fastest: step on 3B, th... | ['{"aa0ac146-58be-4355-9bd2-bca9b2ca8c06": {"description": "For the fair grounder scenario, correctly identify that stepping on third base unassisted is the fastest single action to end the inning with the given timing assumptions", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "cat... | visualtoolbench_sports | single-turn | sports | hybrid_tool_reasoning | 68757ac94c044bac23c9be1d |
[
"VisualToolBench/data/biology_multiturn_0017_turn0.png",
"VisualToolBench/data/biology_multiturn_0017_turn1.png"
] | visualtoolbench_biology_multiturn_0018 | <image>
<image>
| ['{"ffe23037-916b-43d5-9717-2e2a72d756f7": {"description": "The response should ask for clarification as to the mother\'s gene carrier status (homozygous carrier, heterozygous carrier, or not a carrier).", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["instruction follo... | visualtoolbench_biology | multi-turn | biology | follow_up_test | 68acdfef325a5b1e77c7bf3d |
[
"VisualToolBench/data/finance_singleturn_0074.png"
] | visualtoolbench_finance_singleturn_0075 | <image>
Were the Brownite Bites that I bought VAT-able based on the information in the receipt? What's the most expensive item that I bought here? Also, can you tell me what specific mode of payment, as exactly written on the receipt, did I use paying for the stuff I bought at SM? | ['{"c868c28d-6940-4ed7-a659-86e01228e7de": {"description": "The response states that the most expensive item that the user bought is \\"STIK-OCHOC380G\\".", "weight": 4, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["visual understanding", "reasoning", "truthfulness"], "critical": "... | visualtoolbench_finance | single-turn | finance | region_switch_qa | 68757ac94c044bac23c9bdb0 |
[
"VisualToolBench/data/finance_multiturn_0091_turn0.png",
"VisualToolBench/data/finance_multiturn_0091_turn1.png"
] | visualtoolbench_finance_multiturn_0092 | <image>
<image>
| ['{"bf38c44c-267e-486f-877f-87c58a3ce655": {"description": "Identify that the amount due if paid on time is $1,754.18 and if paid late is $1,812.01.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["visual understanding"], "critical": "yes", "final_answer": "no"}, "c47ab... | visualtoolbench_finance | multi-turn | finance | progressive_visual_reasoning | 68a4c61f4f77bfe458d153cb |
[
"VisualToolBench/data/finance_singleturn_0109.png"
] | visualtoolbench_finance_singleturn_0110 | <image>
I want to compare the cost of brewing 2 cups of coffee daily at home versus buying from each coffee shop. Use the following amounts per cup: 5g sugar, 20g coffee, 1 filter paper, and 1 fl oz of creamer. Filter Paper should be a recurring cost. Based on the given prices, calculate in how many days the home-brewi... | ['{"7e7f69eb-629f-42e0-b2f9-89a32a6cac64": {"description": "Correctly use or explicitly state all recurring home-brew prices: Coffee beans 12 oz → $13.99; Sugar 64 oz → $3.99; Creamer 32 fl oz → $3.89; Filter paper (100 ct, recurring) → $2.00.", "weight": 4, "objective/subjective": "objective", "explicit/implicit": "im... | visualtoolbench_finance | single-turn | finance | region_switch_qa | 68757ac94c044bac23c9bdac |
[
"VisualToolBench/data/finance_singleturn_0001.png"
] | visualtoolbench_finance_singleturn_0002 | <image>
Please tell me address of this place that I ate. I remember that the water was expensive, please remove it from the receipt and tell the new total and the total + tip, excluding the tax in both cases. Also, tell me how much I would have spent if I had only purchased the water (including tax and tip). Adapt the ... | ['{"a83a5f77-046b-4723-ae50-d996b7cfb867": {"description": "The model identifies the address as 7800 Airport Blvd, Houston, TX 77061.", "weight": 2, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction following"], "critical": "yes", "final_answer": "yes"}, "a83a5f77-046b-4723... | visualtoolbench_finance | single-turn | finance | region_switch_qa | 68757ac94c044bac23c9bdb4 |
[
"VisualToolBench/data/sports_multiturn_0074_turn0.png",
"VisualToolBench/data/sports_multiturn_0074_turn1.png"
] | visualtoolbench_sports_multiturn_0075 | <image>
<image>
| ['{"1b3d9d4c-5db5-4d82-9579-1c84cdbfb7a2": {"description": "The response must recognize that it is not possible to confirm whether this play finished with a goal, and ask for more information.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["reasoning", "truthfulness", ... | visualtoolbench_sports | multi-turn | sports | follow_up_test | 68ae29bdbad629f62563bb98 |
[
"VisualToolBench/data/sports_singleturn_0057.png"
] | visualtoolbench_sports_singleturn_0058 | <image>
The shaded circles indicate where successful shots were made in the basketball court. If no free-throws were made, what's the score of the red team? Is the total scores of blue and red team less than, equal, or greater than the total points in the Detroit Falcons vs. Washington Capitols game on November 2, 1946... | ['{"d4c36849-7bd9-4437-8069-6c5e03bcfff4": {"description": "Identify that the red team made 4 two-pointer shots and 9 three-pointer shots.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["reasoning", "visual understanding"], "critical": "yes", "final_answer": "no"}, "d4... | visualtoolbench_sports | single-turn | sports | hybrid_tool_reasoning | 68757ac94c044bac23c9be07 |
[
"VisualToolBench/data/generalist_multiturn_0052_turn0.png",
"VisualToolBench/data/generalist_multiturn_0052_turn1.png"
] | visualtoolbench_generalist_multiturn_0053 | <image>
<image>
| ['{"875ab944-4571-465f-a01d-2174734b1f9e": {"description": "Response names the players as Mallory Pugh (22) from the USA and Laura De Neve (18) from Belgium.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["visual understanding", "truthfulness"], "critical": "yes", "fin... | visualtoolbench_generalist | multi-turn | generalist | temporal_sequential_reasoning | 68a7531b438412585cfffa88 |
[
"VisualToolBench/data/generalist_multiturn_0001_turn0.png"
] | visualtoolbench_generalist_multiturn_0002 | <image>
| ['{"09dd28b6-a056-4c59-ac95-4e8466fb84db": {"description": "List exactly the Jane Austen books on the topmost shelf on the left: Sense & Sensibility, Pride & Prejudice, Mansfield Park, Persuasion, and Emma", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction fol... | visualtoolbench_generalist | multi-turn | generalist | progressive_visual_reasoning | 68a751edb8f6dc01ae3eb717 |
[
"VisualToolBench/data/generalist_multiturn_0120_turn0.png",
"VisualToolBench/data/generalist_multiturn_0120_turn1.png"
] | visualtoolbench_generalist_multiturn_0121 | <image>
<image>
| ['{"e3541830-9d12-4582-8f03-2a47a8633b21": {"description": "The model asks for clarification regarding the prompt.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction following"], "critical": "yes", "final_answer": "yes"}, "87a88bba-c8a5-456a-814f-cc5c2db80bea"... | visualtoolbench_generalist | multi-turn | generalist | follow_up_test | 68acdfef325a5b1e77c7bedd |
[
"VisualToolBench/data/finance_multiturn_0115_turn0.png",
"VisualToolBench/data/finance_multiturn_0115_turn1.png"
] | visualtoolbench_finance_multiturn_0116 | <image>
<image>
| ['{"7df25b84-5923-4ddf-853d-f86963dd37f7": {"description": "Correctly extract the monetary values from the image (e.g., identify two rolls of quarters, two rolls of pennies, one roll of dimes, two rolls of nickels)", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["visual... | visualtoolbench_finance | multi-turn | finance | temporal_sequential_reasoning | 68a4c61f4f77bfe458d153c2 |
[
"VisualToolBench/data/medical_multiturn_0108_turn0.png",
"VisualToolBench/data/medical_multiturn_0108_turn1.png",
"VisualToolBench/data/medical_multiturn_0108_turn2.png"
] | visualtoolbench_medical_multiturn_0109 | <image>
<image>
<image>
| ['{"17a82543-7f14-45b7-866e-2571e8e85a5d": {"description": "The response describes that both lungs are fully expanded and the pulmonary fields are clear based on the visual evidence from the X-ray", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction following", ... | visualtoolbench_medical | multi-turn | medical | temporal_sequential_reasoning | 68a751edb8f6dc01ae3eb758 |
[
"VisualToolBench/data/medical_singleturn_0055.png"
] | visualtoolbench_medical_singleturn_0056 | <image>
Using the results from the NuSwab specimen, what is the likely diagnosis, given the patient has no symptoms? | ['{"ac278692-5df1-4eac-a701-336185c267fa": {"description": "Identifies the positive results for the NuSwab specimen: Atopobium vaginae, BVAB 2, and Megasphaera 1.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["reasoning", "truthfulness"], "critical": "yes", "final_ans... | visualtoolbench_medical | single-turn | medical | hybrid_tool_reasoning | 68757ac94c044bac23c9be75 |
[
"VisualToolBench/data/medical_singleturn_0004.png"
] | visualtoolbench_medical_singleturn_0005 | <image>
In the image, I have a complete blood count that I had done a couple of months ago, but I never reviewed it and honestly, I don’t know how to interpret it. Which values are below the reference range? Also, could you give me a list of the full names of the first five tests that appear from top to bottom, without... | ['{"be73cdea-3bc5-444c-9e3c-b1d6dcb11d81": {"description": "Identify that the lymphocyte percentage value is 3.8%, state its reference range (20.0% to 45.0%), and indicate that this value is below the reference range.", "weight": 3, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["ins... | visualtoolbench_medical | single-turn | medical | region_switch_qa | 68757ac94c044bac23c9be7e |
[
"VisualToolBench/data/maths_singleturn_0017.png"
] | visualtoolbench_maths_singleturn_0018 | <image>
Which colored line on the graph most likely corresponds to function #3 from my paper? Also, which function from my list is definitely not depicted on the graph? Please ignore any functions that are crossed out and base the answer only on shapes and y-intercepts without doing calculations. | ['{"99427751-c8e5-4aa5-8674-03d7ebf5b107": {"description": "Identify that function #3 on the notepad is y=-2x+5.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction following"], "critical": "yes", "final_answer": "yes"}, "99427751-c8e5-4aa5-8674-03d7ebf5b107_84... | visualtoolbench_maths | single-turn | maths | region_switch_qa | 6883f999d3f384b2a9a3e6a4 |
[
"VisualToolBench/data/generalist_multiturn_0063_turn0.png",
"VisualToolBench/data/generalist_multiturn_0063_turn1.png"
] | visualtoolbench_generalist_multiturn_0064 | <image>
<image>
| ['{"9be5d0e7-58b2-44ef-aa06-88f7d01402c4": {"description": "Identify that the user\'s light-squared bishop is on the b1 square and the dark-squared bishop is on the a5 square.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction following", "visual understanding... | visualtoolbench_generalist | multi-turn | generalist | temporal_sequential_reasoning | 68a751edb8f6dc01ae3eb714 |
[
"VisualToolBench/data/finance_multiturn_0042_turn0.png",
"VisualToolBench/data/finance_multiturn_0042_turn1.png"
] | visualtoolbench_finance_multiturn_0043 | <image>
<image>
| ['{"3aaf02fe-a1a8-4408-986e-58b0cfddbab5": {"description": "The model identifies correctly the average price of the stock at the moment the user invested was $520.59", "weight": 3, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["truthfulness", "visual understanding"], "critical": "ye... | visualtoolbench_finance | multi-turn | finance | temporal_sequential_reasoning | 68a751edb8f6dc01ae3eb734 |
[
"VisualToolBench/data/finance_multiturn_0045_turn0.png",
"VisualToolBench/data/finance_multiturn_0045_turn1.png"
] | visualtoolbench_finance_multiturn_0046 | <image>
<image>
| ['{"c40e8d21-b3e4-412f-85d0-6e6346e51f31": {"description": "The response explicitly states that the image alone does not allow a full conclusion about systematic differences in long-run housing returns.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["instruction follow... | visualtoolbench_finance | multi-turn | finance | follow_up_test | 68ae29bdbad629f62563bb81 |
[
"VisualToolBench/data/medical_singleturn_0036.png"
] | visualtoolbench_medical_singleturn_0037 | <image>
I would like to know the value of abdominal cross-section area and the circularity index calculated from the fetal measurements in the image. Also, can you tell me what are the two structures visible in the image at the right of the fetal abdomen? | ['{"b193ee98-ec7d-48d9-9aff-6d93b1a73509": {"description": "Correctly identify the values of APAD (5.97 cm) and TAD (6.13 cm)", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["truthfulness", "visual understanding"], "critical": "yes", "final_answer": "yes"}, "b193ee98-ec... | visualtoolbench_medical | single-turn | medical | region_switch_qa | 68757ac94c044bac23c9be72 |
[
"VisualToolBench/data/engineering_multiturn_0021_turn0.png",
"VisualToolBench/data/engineering_multiturn_0021_turn1.png"
] | visualtoolbench_engineering_multiturn_0022 | <image>
<image>
| ['{"fe96409a-37e6-477c-b911-7b7a0c2bf565": {"description": "The response correctly perceives that the position vector from A to C (r_AC) is used instead of the vector from A to B (r_AB) for the moment calculation.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["visual ... | visualtoolbench_engineering | multi-turn | engineering | progressive_visual_reasoning | 68a4c61f4f77bfe458d153f7 |
[
"VisualToolBench/data/medical_singleturn_0076.png"
] | visualtoolbench_medical_singleturn_0077 | <image>
For the results that were released on June 18, 2025, which tests have shown high results? How much greater (in %) is the Cholesterol result compared to the ceiling value for the Cholesterol test based solely on the contents of the image? | ['{"f63781b5-deb9-45f1-ae29-554896f230c6": {"description": "The response lists the tests released on June 18, 2025 showing high results as FBS (HEXOKINASE), Cholesterol, LDL, CHOL/HDL Ratio, Creatinine (ENZYMATIC), Uric Acid (ENZYMATIC), and SGPT/ALT (KINETIC).", "weight": 5, "objective/subjective": "objective", "expli... | visualtoolbench_medical | single-turn | medical | hybrid_tool_reasoning | 68757ac94c044bac23c9be59 |
[
"VisualToolBench/data/generalist_singleturn_0061.png"
] | visualtoolbench_generalist_singleturn_0062 | <image>
My grandfather likes to read classics; he suggested I read Great Expectations, which I know I have in my bookshelf. Can you also find any other books by that author on my bookshelf? Also, do let me know if I have books by someone named Woolf; if I do, please list them. | ['{"a570e347-75c2-4876-9306-444fa6991e89": {"description": "The model must identify that Charles Dickens wrote Great Expectations.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction following", "reasoning", "truthfulness", "visual understanding"], "critical": ... | visualtoolbench_generalist | single-turn | generalist | region_switch_qa | 6883f999d3f384b2a9a3e602 |
[
"VisualToolBench/data/physics_singleturn_0010.png"
] | visualtoolbench_physics_singleturn_0011 | <image>
If the plane in the diagram releases a projectile that hits the ground after 9 seconds, what would be the horizontal distance travelled by the projectile? And what was its initial speed? | ['{"f32889ab-66df-41fb-94f4-dc37d19ba125": {"description": "The response correctly calculates the horizontal distance the projectile has travelled as approximately 558.6 m.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["reasoning"], "critical": "yes", "final_answer": ... | visualtoolbench_physics | single-turn | physics | hybrid_tool_reasoning | 6883f999d3f384b2a9a3e693 |
[
"VisualToolBench/data/physics_singleturn_0003.png"
] | visualtoolbench_physics_singleturn_0004 | <image>
Calculate the equivalent Thevenin voltage and resistance of the circuit on the left between points A and B. Also, tell me how to calculate, and the value, of the duty cycle in the astable 555 timer IC on the right. | ['{"f5e70975-3c57-4f00-9ed2-96e80e8f1cee": {"description": "Identifies the component values and their arrangement for the Thevenin circuit: a 100 V source, a 20 Ω and 5 Ω resistor in a voltage divider, and a 10 Ω resistor in series at the output", "weight": 3, "objective/subjective": "objective", "explicit/implicit": "... | visualtoolbench_physics | single-turn | physics | hybrid_tool_reasoning | 6883f999d3f384b2a9a3e691 |
[
"VisualToolBench/data/generalist_singleturn_0030.png"
] | visualtoolbench_generalist_singleturn_0031 | <image>
How many blocks should I walk from the green dot to Smith St, and how many blocks should I drive from the blue dot to Court St? | ['{"150bedfe-4b0f-4615-a9be-05852d0ca809": {"description": "The model identifies 11 blocks to walk from the green dot to Smith St.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction following"], "critical": "yes", "final_answer": "yes"}, "150bedfe-4b0f-4615-a9... | visualtoolbench_generalist | single-turn | generalist | region_switch_qa | 68757ac94c044bac23c9bd86 |
[
"VisualToolBench/data/generalist_multiturn_0079_turn0.png"
] | visualtoolbench_generalist_multiturn_0080 | <image>
| ['{"a1612596-6332-4af0-8c00-5e35584347fb": {"description": "The response uses grid names to refer to the positions of pieces.", "weight": 4, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction following"], "critical": "yes", "final_answer": "yes"}, "a1612596-6332-4af0-8c00-5e... | visualtoolbench_generalist | multi-turn | generalist | progressive_visual_reasoning | 68945807bca2ef544664fc69 |
[
"VisualToolBench/data/generalist_multiturn_0086_turn0.png",
"VisualToolBench/data/generalist_multiturn_0086_turn1.png"
] | visualtoolbench_generalist_multiturn_0087 | <image>
<image>
| ['{"0cc2e34a-4e42-4410-be0b-208bd3ccbee9": {"description": "Identify the three words as \'GARDENS\', \'MENDS\', and \'MAKE\'.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction following", "truthfulness", "visual understanding"], "critical": "yes", "final_answ... | visualtoolbench_generalist | multi-turn | generalist | temporal_sequential_reasoning | 68945807bca2ef544664fc5c |
[
"VisualToolBench/data/finance_singleturn_0059.png"
] | visualtoolbench_finance_singleturn_0060 | <image>
I want to see if I can squeeze in a new category for my kids’ allowances. Just considering the categories shown on the screen, what’s the max I can allocate to this category if I combine the leftover money I didn’t spend on the three categories where I have the most of it? How much is this amount compared to wh... | ['{"af01b5a3-e3cf-4224-be62-27be15287295": {"description": "Recognize the three categories with the highest positive values in the \\"AVAILABLE\\" column under \\"EXPENSE\\": \\"Eating out\\", \\"Clothing\\", and \\"Travel\\".", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "implicit", "categor... | visualtoolbench_finance | single-turn | finance | region_switch_qa | 68757ac94c044bac23c9bdb6 |
[
"VisualToolBench/data/generalist_multiturn_0105_turn0.png",
"VisualToolBench/data/generalist_multiturn_0105_turn1.png"
] | visualtoolbench_generalist_multiturn_0106 | <image>
<image>
| ['{"5aa92991-7911-4e8b-92cb-8966a82dd521": {"description": "Identifies the three items that maximize pre-tax savings and provides their names and individual prices", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction following", "reasoning", "truthfulness", "vis... | visualtoolbench_generalist | multi-turn | generalist | temporal_sequential_reasoning | 68a7531b438412585cfffa80 |
[
"VisualToolBench/data/medical_multiturn_0035_turn0.png",
"VisualToolBench/data/medical_multiturn_0035_turn1.png",
"VisualToolBench/data/medical_multiturn_0035_turn2.png"
] | visualtoolbench_medical_multiturn_0036 | <image>
<image>
<image>
| ['{"5da57a83-b5e9-46bd-b611-a847b9daeeb0": {"description": "The response correctly identifies the three anatomical planes as Axial, Coronal, and Sagittal.", "weight": 3, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction following", "reasoning", "truthfulness", "visual under... | visualtoolbench_medical | multi-turn | medical | temporal_sequential_reasoning | 68a751edb8f6dc01ae3eb75c |
[
"VisualToolBench/data/engineering_multiturn_0008_turn0.png",
"VisualToolBench/data/engineering_multiturn_0008_turn1.png"
] | visualtoolbench_engineering_multiturn_0009 | <image>
<image>
| ['{"894f2e16-9aa5-4850-8a42-190185fa7ede": {"description": "The response correctly identifies the point horizontally aligned with p6 as p7.", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["instruction following", "visual understanding"], "critical": "yes", "final_answer... | visualtoolbench_engineering | multi-turn | engineering | temporal_sequential_reasoning | 68a7531b438412585cfffacc |
[
"VisualToolBench/data/biology_multiturn_0012_turn0.png",
"VisualToolBench/data/biology_multiturn_0012_turn1.png"
] | visualtoolbench_biology_multiturn_0013 | <image>
<image>
| ['{"ecc5e225-1724-432a-940e-c0eab98ea17f": {"description": "Identify that the prompt is ambiguous", "weight": 5, "objective/subjective": "objective", "explicit/implicit": "implicit", "category": ["reasoning"], "critical": "yes", "final_answer": "yes"}, "ecc5e225-1724-432a-940e-c0eab98ea17f_82": {"description": "Identif... | visualtoolbench_biology | multi-turn | biology | follow_up_test | 68ae29bdbad629f62563bbc0 |
[
"VisualToolBench/data/finance_singleturn_0108.png"
] | visualtoolbench_finance_singleturn_0109 | <image>
What is the amount of the payment to Juliette Nicols, and how many branch, debit card, and online transactions are visible in the statement? | ['{"c7ba229c-a650-4b7c-9a8b-a6a7863b3c5d": {"description": "The model correctly identifies the relevant monetary values in the statement: $370.02 (start balance), $126.02 (balance before the $800.00 deposit), $50 (first money out), and $100 (third money out)", "weight": 5, "objective/subjective": "objective", "explicit... | visualtoolbench_finance | single-turn | finance | region_switch_qa | 68757ac94c044bac23c9bdf0 |
[
"VisualToolBench/data/medical_singleturn_0110.png"
] | visualtoolbench_medical_singleturn_0111 | <image>
Using the image, which specific lung lobe contains the consolidation? Describe the visible anatomical landmarks in each that supports the identification, and explain why the lobe next to it can be ruled out. What's the most common bacterial cause of pneumonia affecting this lobe in adults according to current c... | ['{"142744fd-b3f2-4b32-af7c-47addd9bc14a": {"description": "The response states that the consolidation is in the left lower lobe.", "weight": 3, "objective/subjective": "objective", "explicit/implicit": "explicit", "category": ["visual understanding"], "critical": "yes", "final_answer": "yes"}, "142744fd-b3f2-4b32-af7c... | visualtoolbench_medical | single-turn | medical | hybrid_tool_reasoning | 6883f999d3f384b2a9a3e67b |
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