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53e29d83d9b16f6f | zebra_multihop | multihop_counting | Given the initial arrangement of objects displayed in the image below, which is viewed from a Right0 angle, you are tasked with performing two specific operations. First, add two ORANGE PYRAMID objects. Second, remove two GREEN objects. After these operations, what is the total number of objects present? | null | 8 | 1 | 3 | THOUGHT 0: I will begin by analyzing the initial state shown in the problem image. The image displays a collection of objects from a Right0 angle. To accurately count and identify all objects, especially for subsequent operations, it would be beneficial to view them from a different perspective, such as a Right45 angle... | THOUGHT 1: From the new Right45 perspective, I can clearly see the initial 8 objects: one green sphere, one blue pyramid, one orange hexagon, one blue torus, one green capsule, one red torus, one red cone, and one orange capsule. Now, I will proceed with the first instruction: adding 2 ORANGE PYRAMID objects to this co... | THOUGHT 2: After adding the two orange pyramid objects, the total count increases. The updated scene now contains the original 8 objects plus the 2 newly added orange pyramids, making a total of 10 objects. Next, I need to execute the second instruction: removing 2 GREEN objects from the current arrangement. | null | Not supported with pagination yet | null | Not supported with pagination yet | THOUGHT 3: Following the removal of the two green objects (specifically, the green sphere and the green capsule), the total number of objects in the scene has decreased. I started with 10 objects after the addition, and now 2 have been removed. Counting the remaining objects in the final visual confirms the new total. | train | cc-by-nc-4.0 | procedural_grid | 16,586 | S5.replay_unsupported | ||||
2340a62839ff69a4 | zebra_multihop | multihop_counting | Given an initial arrangement of objects as shown in the image below, viewed from a Back45 angle, perform a series of operations. First, add 2 purple capsule objects. Second, remove zero black objects. Third, remove all purple objects. After these steps, determine the total count of blue cylinders remaining. | null | 2 | 1 | 3 | THOUGHT 0: The problem asks us to modify a set of objects through three sequential steps and then identify the number of blue cylinders present at the end. I will begin by analyzing the initial state and then apply each operation one by one.
THOUGHT 1: The first operation requires us to add two PURPLE CAPSULE objects ... | THOUGHT 2: After adding the two purple capsules, the scene now contains 9 objects. The next instruction is to "Remove 0 BLACK object." This operation is a bit of a trick, as removing zero objects means the composition of the scene remains unchanged. Therefore, the objects in the scene should look identical to the previ... | THOUGHT 3: Following the previous step where no objects were removed, the scene still contains the original objects plus the two added purple capsules. The final operation specifies that we must "Remove all PURPLE objects." This means all objects that are purple, regardless of their shape, must be cleared from the scen... | null | Not supported with pagination yet | null | Not supported with pagination yet | THOUGHT 4: After removing all purple objects, the remaining items are the two blue cylinders, one orange dodecahedron, and one blue diamond and one black pyramid. The question specifically asks for the number of blue cylinders. By examining the final visual representation, we can clearly count them. | train | cc-by-nc-4.0 | procedural_grid | 16,603 | S5.replay_unsupported,S8.phash_near_but_distinct | ||||
5c4b5ad058c95d34 | zebra_multihop | multihop_counting | Given an initial arrangement of objects as depicted in the image below, observed from a Front0 perspective, you are required to perform a sequence of operations:
Step 1: Introduce 4 new BLUE PYRAMID objects into the scene.
Step 2: Eliminate 1 PURPLE object from the collection.
Step 3: Remove 2 BLUE objects.
Step 4: Do ... | null | 1 | 1 | 5 | THOUGHT 0: The problem begins with an initial set of objects. To accurately track the transformations, it's beneficial to view the scene from a different angle that provides better spatial context. The initial image shows 8 distinct objects. I will adjust the perspective to a Back45 angle to better visualize the object... | THOUGHT 1: From this new perspective, I can clearly identify all the initial objects: a blue sphere, a black torus, a blue pyramid, a purple cylinder, a black cube, an orange sphere, a green icosahedron, and a purple torus. The goal is to modify this scene according to the given steps. The first operation is to add 4 B... | THOUGHT 2: After successfully adding 4 blue pyramids, the scene now contains a total of 12 objects. We can see the original blue pyramid, plus four new ones, making five blue pyramids in total, along with the other original shapes. The next step requires removing 1 PURPLE object. I will proceed with this removal. | THOUGHT 3: One purple object has been successfully removed from the scene. Looking at the current configuration, we had a purple cylinder and a purple torus initially. One of these has been removed, leaving one purple object remaining. The next instruction is to remove 2 BLUE objects. I will now execute this step. | THOUGHT 4: Two blue objects have been removed from the scene. Previously, we had a blue sphere and five blue pyramids. After removing two blue objects, we are left with a blue sphere and three blue pyramids. The final operation specifies removing 0 ORANGE objects. This implies that no orange objects should be taken awa... | THOUGHT 5: As expected, the scene remains the same after the instruction to remove zero orange objects. All operations have been completed. Now, I need to count the number of cube-shaped objects present in the final configuration. Upon inspection, there is only one black cube remaining in the scene. | train | cc-by-nc-4.0 | procedural_grid | 24,099 | S5.replay_unsupported,S9.px=384 | ||||||
9c92248c96d8c96b | zebra_multihop | multihop_counting | Given an initial arrangement of objects as seen from a Front0 angle, you are required to perform a series of modifications:
Step 1: Introduce 4 new PURPLE PYRAMID objects.
Step 2: Add 2 RED CUBE objects.
Step 3: Eliminate 1 DONUT object from the scene.
Step 4: Remove all PYRAMID objects.
After completing all these step... | null | 2 | 1 | 5 | THOUGHT 0: The problem begins with a set of objects viewed from a specific angle. To accurately track the changes and visualize the scene, it's beneficial to shift the perspective to a Front45 angle, which typically provides a clearer overview of the objects and their positions. The initial scene contains a black cube,... | From this new Front45 perspective, we can clearly see the initial five objects: one black cube, two orange donuts, one red pyramid, and one black cone. Now, I will proceed with the first operation.
THOUGHT 1: The first operation instructs us to add 4 PURPLE PYRAMID objects to the current arrangement. This will increas... | As depicted in the updated scene, we now have the initial objects plus four new purple pyramids. The scene now contains one black cube, two orange donuts, one red pyramid, one black cone, and four purple pyramids.
THOUGHT 2: Next, we need to incorporate 2 RED CUBE objects into the scene. This will introduce new red-co... | The visual update shows the addition of two red cubes. The scene now consists of one black cube, two orange donuts, one red pyramid, one black cone, four purple pyramids, and two red cubes.
THOUGHT 3: The third step requires the removal of 1 DONUT object. Since there are two donuts, removing one will leave a single do... | Observing the scene after this operation, one of the orange donuts has been successfully removed. We are left with one black cube, one orange donut, one red pyramid, one black cone, four purple pyramids, and two red cubes.
THOUGHT 4: Finally, the last operation specifies that all PYRAMID objects must be removed from t... | The final state of the scene is shown, with all pyramid objects (both red and purple) having been removed. The remaining objects are one black cube, one orange donut, one black cone, and two red cubes. To answer the question, I need to count the red objects. From this final view, it is clear there are two red cube obje... | train | cc-by-nc-4.0 | procedural_grid | 24,125 | S5.replay_unsupported,S9.px=384 | ||||||
319f1f03e6e09404 | zebra_multihop | multihop_counting | Given the initial set of objects shown in the image below, observed from a Front0 perspective, execute the following two sequential operations: First, eliminate all objects identified as 'DONUT'. Second, remove one 'ORANGE' object. After completing these steps, determine the total count of 'cube' objects remaining. | null | 4 | 1 | 3 | THOUGHT 0: To begin, we observe the initial configuration of objects as presented in the problem image. The setup starts with 8 distinct objects. For a clearer understanding and to better identify each object, it is beneficial to view the arrangement from a different angle, specifically from a Front45 perspective. | THOUGHT 1: The rotated view in the image above provides a better spatial understanding of the objects, including several cubes, a pyramid, an octahedron, and a donut. Now, proceeding with the first operation, we must remove all objects classified as 'DONUT'. In this arrangement, there is one red donut object that needs... | THOUGHT 2: As shown in the updated scene, the red donut has been successfully removed from the collection of objects, leaving the remaining shapes. The next step, according to the problem statement, is to remove one 'ORANGE' object. From the objects still present, the brown-colored cube is identified and removed as the... | null | Not supported with pagination yet | null | Not supported with pagination yet | THOUGHT 3: Following the removal of the 'orange' object, the final configuration of objects is displayed in the image above. After performing both specified operations, we can now count the remaining cube objects to answer the question. | train | cc-by-nc-4.0 | procedural_grid | 16,565 | S5.replay_unsupported | ||||
d4e5d594996fa914 | zebra_multihop | multihop_counting | Given an initial set of objects displayed in the image below, observed from a Right0 degree angle, we need to perform two sequential operations: First, eliminate all orange-colored objects. Second, introduce three new blue cube objects into the scene. Finally, determine the total count of red objects remaining after th... | null | 1 | 1 | 3 | THOUGHT 0: The problem requires us to manipulate a set of objects based on specific instructions and then count the red objects. The initial view is from a Right0 angle, which might not provide the clearest perspective of all objects. To ensure accurate identification of all initial objects, it's helpful to change the ... | THOUGHT 1: From the Left45 angle, we can clearly see the initial six objects: a red capsule, a purple cube, a brown pyramid, an orange pyramid, an orange sphere, and a purple torus. The first operation instructs us to remove all objects that are orange in color. This means the orange pyramid and the orange sphere shoul... | THOUGHT 2: After successfully removing the two orange objects, the scene now contains four objects: the red capsule, the purple cube, the brown pyramid, and the purple torus. The next step is to add three new blue cube objects to this modified scene. This will increase the total number of objects and introduce the spec... | null | Not supported with pagination yet | null | Not supported with pagination yet | THOUGHT 3: The final arrangement of objects, following the addition of the three blue cubes, consists of the original red capsule, the purple cube, the brown pyramid, the purple torus, and the three newly introduced blue cubes. To answer the question, we simply need to count how many red objects are present in this fin... | train | cc-by-nc-4.0 | procedural_grid | 16,686 | S5.replay_unsupported | ||||
cebda3352aa674ea | zebra_multihop | multihop_counting | Given an initial arrangement of objects, as depicted in the front view, you are required to perform a series of transformations. The operations are as follows:
Step 1: Eliminate one DONUT object from the scene.
Step 2: Eliminate zero SPHERE objects.
Step 3: Introduce four BLUE CUBE objects into the scene.
Step 4: Remov... | null | 2 | 1 | 5 | THOUGHT 0: I will begin by analyzing the initial scene provided in the problem description. The problem states the initial view is from the Front0 angle. To better visualize and manipulate the objects for the subsequent steps, I will first adjust the perspective to a Back45 angle. This new vantage point will provide a ... | THOUGHT 1: The visual from the Back45 angle, as shown in the image above, confirms the initial setup includes a red pyramid, a red sphere, a black donut, an orange cylinder, an orange cone, and a blue cone. Now, I will proceed with the first operation: "Remove 1 DONUT object." Since there is only one black donut in the... | THOUGHT 2: After successfully removing the donut, the scene now contains five objects: a red pyramid, a red sphere, an orange cylinder, an orange cone, and a blue cone, as depicted in the previous image. The next instruction is "Remove 0 SPHERE object." This step is a bit of a trick, as removing zero objects means no c... | THOUGHT 3: As expected, the scene remains unchanged after the "remove 0 spheres" operation, which is confirmed by the current visual. Moving on, the third operation is to "Add 4 BLUE CUBE objects." I will now introduce four new blue cubes into the arrangement. | THOUGHT 4: With the four blue cubes successfully added, the scene now contains a total of nine objects: the original red pyramid, red sphere, orange cylinder, orange cone, blue cone, and the four newly added blue cubes. The final operation is to "Remove all RED objects." I will identify and remove both the red pyramid ... | THOUGHT 5: After removing all red objects (the red pyramid and the red sphere), the final configuration of objects is visible in the image above. The remaining objects are the orange cylinder, the orange cone, the blue cone, and the four blue cubes. The question asks for the total number of orange objects. From the fin... | train | cc-by-nc-4.0 | procedural_grid | 24,120 | S5.replay_unsupported,S9.px=384 | ||||||
7ac4aa0410787f57 | zebra_multihop | multihop_counting | Given an initial setup of various 3D objects, as seen from the Back0 angle in the image below, the task is to perform a sequence of removal operations. First, eliminate all black-colored objects. Next, remove all objects identified as cones. Finally, discard all dodecahedron-shaped objects. After these steps are comple... | null | 1 | 1 | 4 | THOUGHT 0: To begin, I need to analyze the initial configuration of objects presented in the problem image. The prompt states the initial view is from the Back0 angle. To ensure all objects are clearly distinguishable and to facilitate accurate identification for subsequent operations, it's beneficial to adjust the per... | From this new Back45 perspective, I can clearly identify all six objects: a blue capsule, a black cylinder, a blue cone, a green sphere, an orange dodecahedron, and a black dodecahedron.
THOUGHT 1: The first operation requires the removal of all BLACK objects. Based on the initial identification from the clearer view,... | After removing the black cylinder and the black dodecahedron, the scene now contains four objects: the blue capsule, the blue cone, the green sphere, and the orange dodecahedron. This visual confirms the successful execution of the first step.
THOUGHT 2: The second operation instructs to remove all CONE objects. Looki... | With the blue cone removed, only three objects remain: the blue capsule, the green sphere, and the orange dodecahedron. This visual verifies the completion of the second removal step.
THOUGHT 3: The final operation specifies the removal of all DODECAHEDRON objects. From the current objects, there is one orange dodecah... | null | Not supported with pagination yet | After removing the orange dodecahedron, only two objects are left on the ground: the blue capsule and the green sphere. The problem specifically asks for the number of blue objects remaining. In this final configuration, there is clearly one blue object, which is the blue capsule. | train | cc-by-nc-4.0 | procedural_grid | 21,303 | S5.replay_unsupported | |||||
46d25a05f4f42265 | zebra_multihop | multihop_counting | Given the initial arrangement of objects shown below, viewed from the Front0 angle, you need to perform a sequence of operations. First, add three new black pyramid objects to the scene. Second, remove all objects that are pyramids, regardless of their color. After these operations, how many black pyramid objects remai... | null | 0 | 1 | 3 | THOUGHT 0: I will begin by analyzing the initial scene presented in the problem statement. The scene contains 9 distinct objects. To better understand their spatial relationships and prepare for the subsequent operations, it's beneficial to view the arrangement from a different perspective. I will first change the came... | THOUGHT 1: From the updated view in the previous image, I can clearly identify all the objects. The first step in the problem requires me to add three new black pyramid objects to this current setup. This will increase the total number of black pyramids in the scene. | THOUGHT 2: After adding the three black pyramids, the scene now contains four black pyramids in total (one original, plus three new ones). The next operation instructs me to remove *all* objects that are classified as pyramids. This means every object with a pyramid shape, regardless of its color, must be taken out of ... | null | Not supported with pagination yet | null | Not supported with pagination yet | THOUGHT 3: Having completed both specified operations, I can now assess the final state of the scene. All pyramid objects, including the black ones, have been removed. Therefore, the count of black pyramids remaining is zero. | train | cc-by-nc-4.0 | procedural_grid | 16,568 | S5.replay_unsupported | ||||
495e3b6b298d48c3 | zebra_multihop | multihop_counting | Given an initial arrangement of objects viewed from a top-down perspective, as shown in the image, perform two sequential operations: first, add 4 blue capsule objects, and then remove 1 red object. After these operations, determine the total number of capsule objects remaining. | null | 7 | 1 | 3 | THOUGHT 0: The problem begins by showing a collection of objects from a top-down angle. To accurately identify the shapes and prepare for the subsequent operations, it's helpful to view the scene from a different perspective. I will first change the camera angle to a Back45 view to get a better understanding of the thr... | From this new angle, I can clearly distinguish the initial objects: 3 blue capsules, 1 red sphere, 1 green capsule, 1 black cone, 1 red torus, 1 purple torus, 1 blue torus, and 1 green cone. There are 9 objects in total at the start.
THOUGHT 1: The first required operation is to add 4 new blue capsule objects to the c... | After successfully adding the 4 blue capsules, the scene now contains a total of 7 blue capsules (the original 3 plus the 4 new ones), along with the other previously identified objects: 1 red sphere, 1 green capsule, 1 black cone, 1 red torus, 1 purple torus, 1 blue torus, and 1 green cone.
THOUGHT 2: The second and ... | null | Not supported with pagination yet | null | Not supported with pagination yet | With one red object (the red torus in this specific visualization) now removed, the scene consists of 7 blue capsules, 1 red sphere, 1 green capsule, 1 black cone, 1 purple torus, 1 blue torus, and 1 green cone. To answer the question, I need to count only the capsule objects remaining. The capsule objects are the 7 bl... | train | cc-by-nc-4.0 | procedural_grid | 16,686 | S5.replay_unsupported | ||||
eb19197e2adf9727 | zebra_multihop | multihop_counting | Given the initial arrangement of objects shown in the image below, which is viewed from the Right0 angle, perform a series of removal operations. First, remove one SPHERE object. Next, eliminate all PURPLE objects. Finally, remove all GREEN objects. After these steps, determine the total count of orange objects remaini... | null | 2 | 1 | 4 | THOUGHT 0: Initially, there are 7 distinct objects present in the scene. To accurately perform the requested operations, it's beneficial to view the setup from a more comprehensive angle than the initial Right0. Therefore, I will adjust the viewpoint to a Front45 angle to better identify and interact with the objects. | This new perspective, as shown in the updated image, provides a clearer understanding of each object's type, color, and position, making the subsequent removal steps more straightforward.
THOUGHT 1: The first instruction is to remove exactly one SPHERE object. I will proceed to identify one sphere from the current con... | After removing one sphere, the scene now reflects the result of the first operation. There are now fewer objects, and specifically, only one sphere object remains.
THOUGHT 2: Next, the problem requires removing all objects that are PURPLE in color. I will scan the scene and clear out any purple-colored items that are ... | The image now displays the environment after all purple objects have been successfully removed, leaving only the remaining objects.
THOUGHT 3: The final removal step is to eliminate all GREEN objects from the scene. I will identify and remove any remaining green-colored items. | null | Not supported with pagination yet | With all green objects also removed, the final configuration of objects is visible. I can now clearly count the remaining orange objects to answer the question. There are two orange objects left: an orange pyramid and an orange sphere. | train | cc-by-nc-4.0 | procedural_grid | 21,084 | S5.replay_unsupported | |||||
877dc4735165491b | zebra_multihop | multihop_counting | Analyze the initial scene which shows several 3D objects viewed from the Back0 angle. Perform a series of removal operations: first, remove 0 orange objects; second, remove 2 capsule objects; third, remove all cylinder objects; and finally, remove 1 red object. After all operations are complete, determine the count of ... | null | 1 | 1 | 5 | THOUGHT 0: I will start by identifying the total number of objects in the initial scene provided by the problem. The problem outlines a sequence of removal operations. To better visualize the objects and their shapes for accurate identification and removal, it's beneficial to change the viewing angle from the initial B... | THOUGHT 1: After rotating the view to Left45, as shown in the updated image, I can clearly distinguish all six objects: a red capsule, an orange cylinder, a red octahedron, a purple cone, a green sphere, and a blue capsule. Now, I will execute Step 1 of the instructions: "Remove 0 ORANGE object." Since the instruction ... | THOUGHT 2: The scene remains unchanged after Step 1. From the current view, I can identify the two capsule-shaped objects: one red and one blue. Following Step 2, "Remove 2 CAPSULE objects," I will proceed to eliminate both the red capsule and the blue capsule from the scene. This will significantly alter the count and... | THOUGHT 3: With the two capsule objects removed, the scene now contains fewer objects. Looking at the remaining objects in the updated visual, I can identify one orange cylinder. Step 3 instructs to "Remove all CYLINDER objects." Therefore, I will remove this orange cylinder from the scene. Let's see the updated state ... | THOUGHT 4: After removing the cylinder, only a few objects are left in the scene. I can clearly see a red object, which is a red octahedron. Step 4 requires me to "Remove 1 RED object." I will remove this red octahedron, leaving only the remaining objects. I will generate the final visual representation of the scene af... | THOUGHT 5: After all the specified removal operations (removing 0 orange objects, 2 capsule objects, all cylinder objects, and 1 red object), the final scene, as depicted in the last image, contains only two objects: a purple cone and a green sphere. The question specifically asks for the number of green spheres remain... | train | cc-by-nc-4.0 | procedural_grid | 24,199 | S5.replay_unsupported,S9.px=384 | ||||||
1d9f7b25d4f1ac96 | zebra_multihop | multihop_counting | Consider the initial arrangement of objects shown in the image, viewed from the Back0 angle. Your task is to apply a series of transformations: first, add two blue donut shapes; next, eliminate all sphere objects; and finally, remove all pyramid objects. After these operations, determine the total count of orange objec... | null | 1 | 1 | 4 | THOUGHT 0: I will begin by analyzing the initial state of the objects. The provided image shows the scene from a Back0 angle, which makes it challenging to discern all objects clearly. To get a better understanding of the initial setup and accurately track changes, it's beneficial to view the scene from a different per... | From this new Back45 angle, I can clearly identify the starting six objects: a red pyramid, an orange cylinder, a purple cylinder, a black pyramid, a green cylinder, and a red sphere.
THOUGHT 1: The first operation requires adding 2 BLUE DONUT objects to the current scene. I will generate an updated visual to reflect ... | The updated scene now includes the two new blue donut objects alongside the original six. This brings the total number of objects to eight.
THOUGHT 2: Next, I need to perform the second operation: remove all SPHERE objects from the arrangement. To confirm this step, I will visualize the scene after the sphere has been... | As depicted in the updated image, the red sphere is no longer present. The remaining objects are one red pyramid, one orange cylinder, one purple cylinder, one black pyramid, one green cylinder, and the two blue donuts.
THOUGHT 3: The final operation instructs me to remove all PYRAMID objects. After this step, the rem... | null | Not supported with pagination yet | The visual confirmation shows that both the red and black pyramids have been removed. The objects remaining in the scene are one orange cylinder, one purple cylinder, one green cylinder, and two blue donuts. To answer the question, I need to count the orange objects. In this final configuration, there is only one orang... | train | cc-by-nc-4.0 | procedural_grid | 21,213 | S5.replay_unsupported | |||||
d673344b269900a4 | zebra_multihop | multihop_counting | Consider the collection of objects shown in the image, initially viewed from the Back0 angle. You are required to perform a series of operations:
1. Remove 0 PURPLE objects.
2. Introduce 4 new RED PYRAMID objects.
3. Eliminate all RED objects present.
After these steps, determine the total count of objects remaining. | null | 6 | 1 | 4 | THOUGHT 0: First, I'll count the initial number of objects shown in the problem image. There are 7 distinct objects: a blue cone, an orange cube, a brown pyramid, an orange cone, an orange sphere, a purple cone, and a red cylinder. To better visualize the scene and subsequent operations, I will adjust the camera angle ... | THOUGHT 1: Now, let's execute Step 1: "Remove 0 PURPLE object." Since the instruction specifies removing zero objects, the collection of objects remains exactly as it was after the initial view adjustment. No purple objects are removed, so the count remains 7. | THOUGHT 2: Proceeding to Step 2: "Add 4 RED PYRAMID objects." I will introduce four new red pyramid shapes to the scene. This increases the total number of objects from 7 to 7 + 4 = 11. | THOUGHT 3: Finally, for Step 3: "Remove all RED objects." This means all objects that are red in color, including the red cylinder initially present and the four red pyramids just added, must be removed from the scene. The red cylinder (1 object) and the four red pyramids (4 objects) are removed, totaling 5 objects. Th... | null | Not supported with pagination yet | THOUGHT 4: After completing all the specified operations, I have counted the remaining objects in the final configuration. There are 6 objects left: one blue cone, one orange cube, one brown pyramid, one orange cone, one orange sphere, and one purple cone. | train | cc-by-nc-4.0 | procedural_grid | 21,062 | S5.replay_unsupported | |||||
a3c09d884420fe83 | zebra_multihop | multihop_counting | Given the initial arrangement of objects shown in the image below, currently viewed from the Front0 angle, execute the following sequence of operations:
Step 1: Eliminate 3 objects that are red.
Step 2: Eliminate 1 object that is red.
Step 3: Eliminate 0 objects that are spheres.
After completing these steps, determine... | null | 0 | 1 | 4 | THOUGHT 0: First, I need to identify all the objects present in the initial scene. The problem states the initial view is from 'Front0', but to accurately count and categorize the objects, it's beneficial to observe them from a different perspective. Therefore, I will generate a view from the 'Left45' angle to get a cl... | From this new perspective, I can clearly see all 8 distinct objects: two red cubes, one red cone, one red cylinder, one red dodecahedron, one green cube, one purple cylinder, one purple sphere, and one orange torus. This comprehensive view will help ensure accurate removal operations.
THOUGHT 1: The first operation re... | As instructed, three red objects have been removed. Specifically, the two red cubes, the red cone, and the red cylinder were removed. The scene now contains a green cube, a red dodecahedron, a purple cylinder, a purple sphere, and an orange torus. Only one red object (the red dodecahedron) remains in the scene.
THOUGH... | Following the instruction, the last remaining red object, the dodecahedron, has been removed. The scene now consists of a green cube, a purple cylinder, a purple sphere, and an orange torus. There are no red objects left in the scene.
THOUGHT 3: The final step requires removing '0 SPHERE object'. This means no sphere ... | null | Not supported with pagination yet | As expected, the scene remains unchanged. The objects still present are the green cube, the purple cylinder, the purple sphere, and the orange torus. No red objects are present, and specifically, no spheres were removed. Therefore, there are no red cylinders left. | train | cc-by-nc-4.0 | procedural_grid | 21,377 | S5.replay_unsupported | |||||
4fb5a19d93fbf4ab | zebra_multihop | multihop_counting | Consider the collection of objects displayed in the image below, viewed from a Right45 angle. You are instructed to perform two sequential operations:
Step 1: Remove exactly 1 BLUE object from the collection.
Step 2: Remove exactly 0 BLACK objects from the remaining collection.
After completing these operations, determ... | null | 6 | 1 | 2 | THOUGHT 0: I will begin by carefully examining the initial image to count the total number of objects and identify their colors and shapes. In the initial setup shown in the provided image, I can discern 7 distinct objects: a blue sphere, a blue cylinder, a black capsule, a black cylinder, a red cube, an orange capsule... | THOUGHT 2: Observing the scene after the first step, as depicted in the visual thought, one blue object has been removed (for instance, the blue sphere, or the blue cylinder). Consequently, the total number of objects has been reduced from 7 to 6. This image represents the state of the objects following the first remov... | null | Not supported with pagination yet | null | Not supported with pagination yet | null | Not supported with pagination yet | THOUGHT 4: Upon reviewing the final state after the second operation, as illustrated in the visual thought, it confirms that no additional objects were removed. The instruction to remove zero black objects means the total count remains the same as after the first step. Therefore, the total number of objects remaining i... | train | cc-by-nc-4.0 | procedural_grid | 12,347 | S5.replay_unsupported | |||
f77874b3ca5cecc4 | zebra_multihop | multihop_counting | Given an initial scene with various objects, as depicted in the image below, we need to apply a sequence of transformations. The operations are:
1. Introduce 4 new PURPLE DONUT objects.
2. Eliminate 2 GREEN objects from the scene.
3. Remove all BLACK objects that remain.
4. Incorporate 2 BLUE DODECAHEDRON objects.
Fina... | null | 0 | 1 | 4 | THOUGHT 0: The task requires us to manipulate a set of objects shown in the initial image by following a series of specific steps. I will process each operation sequentially to determine the final state of the objects, especially focusing on the number of green capsules.
THOUGHT 1: The first step instructs us to add f... | THOUGHT 2: As observed in the updated visual, four purple donut objects have now been successfully introduced into the scene, augmenting the original collection of items.
THOUGHT 3: The next instruction is to remove two GREEN objects from the current arrangement. Based on the objects present, I will identify and elimi... | THOUGHT 4: The image now displays the scene with the two green objects, including the green capsule and the green dodecahedron, successfully removed, leaving only the remaining objects.
THOUGHT 5: The third operation specifies that all BLACK objects must be removed from the scene. I will identify any black objects cur... | THOUGHT 6: This visual confirms that any black objects, specifically the black donut that was present, have now been cleared from the scene, leaving only the remaining objects from previous steps.
THOUGHT 7: Finally, the last step requires us to add two BLUE DODECAHEDRON objects to the scene. I will incorporate these ... | null | Not supported with pagination yet | THOUGHT 8: The final image illustrates the scene after all specified operations have been completed, including the addition of the blue dodecahedrons. At this point, no green capsules remain in the scene, as they were removed in Step 2. | train | cc-by-nc-4.0 | procedural_grid | 21,302 | S5.replay_unsupported | |||||
6b7ee91dbcd0c299 | zebra_multihop | multihop_counting | Given an initial set of objects shown in a top-down view, as depicted in the image, you are required to perform a series of modifications: First, eliminate all objects that are green. Second, remove all objects that are orange. Third, introduce three new blue cube objects. Finally, add three new blue cone objects. Afte... | null | 1 | 1 | 5 | THOUGHT 0: The problem begins with an initial arrangement of objects, shown in the provided image from a top-down perspective. To accurately identify the shapes and prepare for the subsequent operations, it's crucial to view the objects from a more descriptive angle. Therefore, I will first adjust the camera angle to a... | THOUGHT 1: From the new perspective in the visual thought I created, I can clearly see the initial six objects: two green objects (a cube and a pyramid), two orange objects (a sphere and a torus), a black pyramid, and a grey cylinder. The first step in the problem requires removing all green objects. I will now perform... | THOUGHT 2: After the removal of the two green objects (the cube and the pyramid), as shown in the updated scene, four objects remain: the orange sphere, the orange torus, the black pyramid, and the grey cylinder. The next instruction is to remove all orange objects. I will proceed with this operation and visualize the ... | THOUGHT 3: With the orange sphere and orange torus now removed, only two objects are left in the scene, as seen in the latest image: the black pyramid and the grey cylinder. The third step instructs us to add three blue cube objects to the scene. I will add these objects and update the visual representation accordingly... | THOUGHT 4: As depicted in the image, three blue cube objects have been successfully added to the scene, joining the existing black pyramid and grey cylinder. The scene now contains five objects. The final operation is to add three blue cone objects. I will perform this addition to reach the final state of the objects. | THOUGHT 5: The final set of objects is now visible in the last image, consisting of the black pyramid, the grey cylinder, three blue cubes, and three blue cones. To answer the question, I need to count the number of pyramid shapes. Upon inspecting the final configuration, only one object is a pyramid: the black pyramid... | train | cc-by-nc-4.0 | procedural_grid | 24,129 | S5.replay_unsupported,S9.px=384 | ||||||
06de7a250499a5e3 | zebra_multihop | multihop_counting | Consider the initial arrangement of objects shown in the image below, viewed from a Back45 angle. You are required to perform two sequential operations: First, remove one DODECAHEDRON object. Second, remove all CAPSULE objects. After these operations are completed, determine the total count of red cones remaining. | null | 1 | 1 | 2 | THOUGHT 0: I will begin by carefully examining the initial scene presented in the problem image, which contains 7 distinct objects. My approach will involve systematically applying the specified removal operations, one step at a time, to arrive at the final configuration before counting the red cones.
THOUGHT 1: The f... | THOUGHT 2: After performing the first step and reviewing the updated scene in the visual above, I can see that one of the dodecahedrons (specifically, the green one) has been successfully removed. The scene now contains 6 objects: three cones (red, blue, yellow), one red dodecahedron, and two capsules (green, blue). Th... | null | Not supported with pagination yet | null | Not supported with pagination yet | null | Not supported with pagination yet | THOUGHT 3: Observing the final visual representation, it's clear that all capsule objects (the green and blue capsules) have been removed. The remaining objects are one red cone, one blue cone, one yellow cone, and one red dodecahedron. The question specifically asks for the number of red cones. Based on this final con... | train | cc-by-nc-4.0 | procedural_grid | 12,169 | S5.replay_unsupported | |||
c57befa2ecd4b69c | zebra_multihop | multihop_counting | Given an initial set of 3D objects, as depicted from a Left0 angle in the image below, I need to perform a series of removal operations. First, one dodecahedron must be removed. Second, one green object needs to be removed. Third, all cube-shaped objects must be eliminated. After these steps, the final task is to deter... | null | 0 | 1 | 4 | THOUGHT 0: I will begin by analyzing the initial scene, which contains nine distinct objects. The problem specifies a Left0 viewing angle for the initial setup. To accurately identify and manipulate the objects for the subsequent removal steps, it's beneficial to view the scene from a different, clearer perspective. Th... | THOUGHT 1: The new perspective from the Front45 angle provides a much clearer view of all the objects, allowing for easier identification of shapes and colors. Now, I will proceed with the first specified operation: removing one DODECAHEDRON object from the scene. | THOUGHT 2: After successfully removing one dodecahedron, the scene has been updated to reflect this change. The next step is to execute the second operation, which requires removing one GREEN object from the remaining set of objects. I will generate an image to show the state after this removal. | THOUGHT 3: With the green object now removed, the scene is further modified. The final operation outlined in the problem is to remove all CUBE objects from the current configuration. I will visualize the scene one last time after this final removal to determine the remaining objects and answer the question. | null | Not supported with pagination yet | THOUGHT 4: Having completed all the specified removal operations (one dodecahedron, one green object, and all cubes), the final state of the objects is displayed. Upon inspecting the remaining objects, it is clear that there are no cube-shaped objects left in the scene, and consequently, no purple cubes. | train | cc-by-nc-4.0 | procedural_grid | 21,136 | S5.replay_unsupported | |||||
93050dba3c2c1267 | zebra_multihop | multihop_counting | Given the initial arrangement of objects shown in the image, viewed from the Back0 angle, perform a series of operations. First, eliminate all pyramid-shaped objects. Next, remove one object that is orange in color. Finally, introduce three new orange dodecahedron objects into the scene. After these transformations, th... | null | 1 | 1 | 4 | THOUGHT 0: The problem begins with an initial configuration of 7 distinct objects, as seen from the Back0 perspective in the provided image. To accurately identify and manipulate these objects according to the given instructions, it's beneficial to view the scene from a different angle, specifically Right45, for better... | THOUGHT 1: This new perspective from the Right45 angle provides a clearer view of all objects, making it easier to identify their shapes and colors for the subsequent operations. The first operation requires the removal of all pyramid-shaped objects from the scene. This involves identifying each object that fits the de... | THOUGHT 2: After removing the two red pyramids and one brown pyramid, the scene now contains fewer objects: specifically, one red cone, one orange cone, one purple cylinder, and two blue tori. The second instruction is to remove a single orange object. From the current set of objects, there is only one orange object pr... | THOUGHT 3: With the orange cone removed, the remaining objects are one red cone, one purple cylinder, and two blue tori. There are now 4 objects in total. The final step is an addition: three new orange dodecahedron objects must be introduced into the scene. These objects will be placed alongside the existing ones. | null | Not supported with pagination yet | THOUGHT 4: The scene now includes the original red cone, purple cylinder, and two blue tori, along with the three newly added orange dodecahedrons. All operations are complete. Having completed all the specified operations, I can now count the number of red cones remaining in the final configuration. | train | cc-by-nc-4.0 | procedural_grid | 21,208 | S5.replay_unsupported | |||||
f53bcc2bda4afdb5 | zebra_multihop | multihop_counting | Consider the collection of objects shown in the image below, viewed from a Right45 angle. You are required to perform a series of operations on these objects:
Step 1: Eliminate all objects that are ORANGE in color.
Step 2: Eliminate all objects that are GREEN in color.
Step 3: Eliminate all objects that are shaped like... | null | 0 | 1 | 5 | THOUGHT 0: I will start by analyzing the initial set of objects provided in the problem image. There are 7 distinct objects: one orange sphere, one orange cone, one black cone, one green cylinder, one green cube, and one green octahedron. I will meticulously follow each operation described to track the changes in the o... | THOUGHT 2: After removing the orange objects, the scene now contains 4 objects: one black cone, one green cylinder, one green cube, and one green octahedron, as depicted in the previous visual. The next instruction is to remove all GREEN objects. This will eliminate the green cylinder, the green cube, and the green oct... | THOUGHT 3: Following the removal of green objects, only one object remains: the black cone, as seen in the last image. The third step instructs me to remove all CONE objects. This means the black cone, which is the only remaining object, will be removed. I will create a visual representation of the scene after this ope... | THOUGHT 4: At this point, the scene is empty, as confirmed by the preceding image. The fourth operation instructs me to add 2 GREEN SPHERE objects. This will introduce two new items into the scene. I will generate an image to show these newly added objects. | THOUGHT 5: With two green sphere objects now present in the scene, as illustrated in the previous visual, the final operation is to remove all SPHERE objects. Since both objects currently in the scene are spheres, they will both be removed. I will generate a final image to confirm the state of the scene. | THOUGHT 6: After executing all the specified operations, the scene is now empty. Therefore, the total number of objects remaining is zero. | train | cc-by-nc-4.0 | procedural_grid | 24,105 | S5.replay_unsupported,S9.px=384 | ||||||
442761dc5b5fbe92 | zebra_multihop | multihop_counting | Consider the initial arrangement of objects presented in the image below. You are required to perform a series of removal operations in the specified order:
Step 1: Eliminate all objects identified as PYRAMIDs.
Step 2: Eliminate all objects that are BLUE in color.
Step 3: Eliminate all objects that are RED in color.
Af... | null | 1 | 1 | 3 | THOUGHT 0: I will begin by analyzing the initial set of objects shown in the problem image. There are 7 distinct objects in the initial configuration. My approach will be to systematically apply each removal step and visually track the remaining objects before arriving at the final count.
THOUGHT 1: The first operation... | THOUGHT 2: After removing the pyramids, as seen in the previous visual, we are left with five objects: an orange sphere, a blue cube, a red torus, a red cube, and a purple sphere. The next instruction is to remove all objects that are blue. This specifically targets the blue cube. I will generate a new visual to show t... | THOUGHT 3: Following the removal of blue objects, as depicted in the last image, we now have four objects remaining: an orange sphere, a red torus, a red cube, and a purple sphere. The final operation specifies removing all objects that are red. This will eliminate both the red torus and the red cube. I will generate o... | null | Not supported with pagination yet | null | Not supported with pagination yet | THOUGHT 4: Having completed all specified removal operations, the final visual shows two objects remaining: an orange sphere and a purple sphere. The question asks for the count of orange objects. From the two remaining objects, only one is orange. | train | cc-by-nc-4.0 | procedural_grid | 16,685 | S5.replay_unsupported | ||||
09c3aa0119a1f413 | zebra_multihop | multihop_counting | Given the initial arrangement of objects shown from the Front0 angle, perform two sequential operations: first, add 4 black sphere objects, and second, remove 0 cone objects. After these operations, determine the total number of purple cylinders present. | null | 1 | 1 | 3 | THOUGHT 0: I will begin by analyzing the initial scene and then execute the given operations step-by-step. The problem presents the objects from a "Front0" angle, which might not offer the best perspective for identifying all objects. To ensure an accurate count and clear understanding of the scene before modifications... | THOUGHT 1: From the Left45 angle, I can clearly see the initial seven objects: one purple cylinder, one orange cone, one purple cone, one blue sphere, one green torus, one purple pyramid, and one purple dodecahedron. The first operation requires adding 4 BLACK SPHERE objects to this arrangement. I will now visualize th... | THOUGHT 2: After successfully adding the 4 black spheres, the scene now contains a total of eleven objects. The original seven objects are still present, along with the newly introduced black spheres. The next step is to perform the second operation: "Remove 0 CONE object." This instruction implies that no cone objects... | null | Not supported with pagination yet | null | Not supported with pagination yet | THOUGHT 3: As expected, since the instruction was to remove "0" cone objects, the scene remains precisely as it was after the first step. No cones were removed, and thus, the number of purple cylinders also remains unchanged from the initial count. The question asks for the number of purple cylinders. Based on the init... | train | cc-by-nc-4.0 | procedural_grid | 16,678 | S5.replay_unsupported | ||||
952049027cff67ba | zebra_multihop | multihop_counting | Given the initial set of objects displayed in the image, you are required to perform a sequence of four operations. First, eliminate all objects that are blue. Second, introduce four new black cylinder objects into the scene. Third, remove zero capsule objects. Fourth, remove all objects that are black. After completin... | null | 1 | 1 | 5 | THOUGHT 0: We begin by examining the initial arrangement of objects as presented in the problem's starting image. To gain a clearer perspective and better identify each object, I will first adjust the viewing angle from Front0 to Right45. This will provide a more comprehensive overview of the scene before any modificat... | From this new vantage point, we can clearly observe the six distinct objects: a red sphere, a blue cube, an orange capsule, a blue dodecahedron, a blue sphere, and an orange sphere.
THOUGHT 1: The first operation instructs us to remove all objects that are blue from the scene. This means the blue cube, the blue dodeca... | Following this removal, the scene now contains only the red sphere, the orange capsule, and the orange sphere.
THOUGHT 2: The next step is to add four new black cylinder objects to the current collection of items. These four new objects will be placed alongside the existing ones. | After this addition, the scene now comprises the red sphere, the orange capsule, the orange sphere, and the four newly introduced black cylinders.
THOUGHT 3: For the third operation, we are told to remove '0 CAPSULE object'. This instruction implies that no capsule objects should be removed from the scene. Therefore, ... | As expected, the scene remains unchanged, still containing the red sphere, the orange capsule, the orange sphere, and the four black cylinders.
THOUGHT 4: The final operation requires us to remove all objects that are black. This means the four black cylinder objects that were added in a previous step will now be take... | Upon completing this last removal, the scene is left with only three objects: the red sphere, the orange capsule, and the orange sphere. To answer the question, we need to count the number of capsule objects in this final state. There is clearly one orange capsule remaining. | train | cc-by-nc-4.0 | procedural_grid | 24,057 | S5.replay_unsupported,S9.px=384 | ||||||
2217a72867253e73 | zebra_multihop | multihop_counting | Given an initial arrangement of six objects, as depicted in the provided image from a Left0 angle, you are tasked with performing two sequential removal operations. First, eliminate two red objects from the scene. Subsequently, remove one additional red object. After completing these steps, determine the total count of... | null | 0 | 1 | 3 | THOUGHT 0: First, I need to understand the initial configuration of objects. The problem provides an initial view from the Left0 angle. To gain a clearer understanding of all objects, their shapes, and colors, it's helpful to switch to a Front45 angle. This will allow for precise identification of the objects before an... | From this updated perspective, I can clearly identify all six objects: one red cylinder, one brown cylinder, one red cube, one red pyramid, one red gem, and one purple cone. This detailed view confirms there are four red objects initially (one cylinder, one cube, one pyramid, one gem).
THOUGHT 1: The first step requir... | The updated scene shows the remaining objects after the first removal step. We are now left with the brown cylinder, the red cube, the red gem, and the purple cone. Two red objects (the red cylinder and red pyramid) have been successfully removed.
THOUGHT 2: Next, following the second instruction, I must remove one mo... | null | Not supported with pagination yet | null | Not supported with pagination yet | The final visual representation shows the objects remaining after both removal operations. We can see the brown cylinder, the purple cone, and the red gem. The red cube has been removed. At this point, the only red object left is the red gem. The question specifically asks for the number of red cylinders. | train | cc-by-nc-4.0 | procedural_grid | 16,737 | S5.replay_unsupported | ||||
6545419ee74a51df | zebra_multihop | multihop_counting | Given an initial collection of objects displayed in the image below, perform a series of five sequential operations. After completing all operations, determine the total number of objects remaining. The operations are:
1. Eliminate all objects that are DONUTS.
2. Eliminate one SPHERE object.
3. Eliminate all objects th... | null | 2 | 1 | 5 | THOUGHT 0: I will begin by analyzing the initial set of objects presented in the problem image. There are 9 objects in total: 2 red donuts, 1 orange sphere, 3 red cones, 1 green cone, 1 orange cone, and 1 red cylinder. I will then meticulously apply each step of the given instructions, updating the set of objects after... | THOUGHT 2: After the first step, we are left with 7 objects: one orange sphere, three red cones, one green cone, one orange cone, and one red cylinder, as seen in the previous image. The next instruction is to remove exactly one SPHERE object. Since there is only one orange sphere, that is the one to be removed. This w... | THOUGHT 3: Following the removal of one sphere, the collection now consists of 6 objects: three red cones, one green cone, one orange cone, and one red cylinder, as depicted in the previous visual. The third step instructs us to remove all objects that are RED. This includes the three red cones and the one red cylinder... | THOUGHT 4: After eliminating all red objects, we are left with just two objects: one green cone and one orange cone, as shown in the last image. The fourth operation is to add 3 new ORANGE SPHERE objects to the current collection. This will increase the total number of objects. | THOUGHT 5: With the addition of three orange spheres, the total count is now 5 objects: one green cone, one orange cone, and three orange spheres, as can be observed in the preceding image. The final instruction is to remove all SPHERE objects. This means the three orange spheres that were just added will now be remove... | THOUGHT N: After removing all sphere objects, the only objects remaining are the green cone and the orange cone. Therefore, the final count of objects is 2. | train | cc-by-nc-4.0 | procedural_grid | 24,072 | S5.replay_unsupported,S9.px=384 | ||||||
263c713fc2aeb175 | zebra_multihop | multihop_counting | Given the initial arrangement of objects shown in the image below, viewed from the Right0 angle, you need to perform a series of operations. First, remove one DONUT object. Next, add two GREEN CONE objects. Finally, remove all objects that are PURPLE. After these steps, determine the total count of purple spheres remai... | null | 0 | 1 | 4 | THOUGHT 0: I will begin by analyzing the initial scene and identifying the objects present. The problem provides a view from the 'Right0' angle. To get a better understanding of all objects and their positions for the subsequent operations, I will generate a new perspective from the 'Back45' angle. | THOUGHT 1: From the 'Back45' view, I can clearly see all 6 initial objects: one green cube, one orange cube, one blue pyramid, two orange donuts, and one purple sphere. The first step requires removing one DONUT object. I will now visualize the scene after this specific removal. | THOUGHT 2: The updated image shows that one of the orange donut objects has been successfully removed, leaving five objects remaining. The next instruction is to add two GREEN CONE objects to the current arrangement. I will now generate the visual representation of this addition. | THOUGHT 3: With the two new green cones added, there are now a total of seven objects in the scene. The final operation specifies removing all PURPLE objects. I will now render the scene after this last removal. | null | Not supported with pagination yet | THOUGHT 4: The final state of the scene is now displayed. All purple objects, which in this case was a single purple sphere, have been removed. To answer the question, I need to count the remaining purple spheres. Since the only purple sphere was removed, there are zero purple spheres left. | train | cc-by-nc-4.0 | procedural_grid | 21,036 | S5.replay_unsupported | |||||
95a093164ef425f2 | zebra_multihop | multihop_counting | Given an initial arrangement of various objects as seen from a Left45 angle, we need to perform two sequential operations: first, add four blue cube objects, and then add two blue cone objects. After these operations, the final question is to determine the total count of dodecahedrons present in the scene. | null | 1 | 1 | 2 | THOUGHT 0: I will begin by carefully observing the initial set of objects presented in the problem image. The task requires me to follow the specified operations step-by-step and then accurately count the particular shape requested at the very end.
THOUGHT 1: The first instruction is to add four blue cube objects to t... | THOUGHT 2: This updated image now clearly displays the original objects along with the four blue cubes that have been added. This visual representation helps confirm the state of the objects after the first modification.
THOUGHT 3: The next step in the problem description instructs us to add two blue cone objects to t... | null | Not supported with pagination yet | null | Not supported with pagination yet | null | Not supported with pagination yet | THOUGHT 4: The final image now presents all objects, encompassing the initial set, the four blue cubes from the first step, and the two blue cones from the second step. With the scene fully constructed according to the instructions, I can now precisely identify and count the number of dodecahedrons. Upon inspection, th... | train | cc-by-nc-4.0 | procedural_grid | 12,154 | S5.replay_unsupported,S14.sampled_qa | |||
a41563217ec0e5a9 | zebra_multihop | multihop_counting | Given the initial set of objects displayed in the image below, viewed from the Back0 perspective, perform the following two sequential operations:
Step 1: Introduce 2 additional BLUE PYRAMID objects to the scene.
Step 2: Introduce 4 additional BLACK CONE objects to the scene.
After completing these steps, what is the t... | null | 13 | 1 | 3 | THOUGHT 0: The problem begins with a scene containing 7 distinct objects. My task is to sequentially apply the given operations and then determine the final count of all objects. The initial view provided is from the Back0 angle. To get a clearer perspective of all the objects and facilitate the subsequent operations, ... | THOUGHT 1: The previous image shows the initial 7 objects from a more advantageous Back45 angle. Now, I will proceed with the first operation, which instructs me to add 2 new BLUE PYRAMID objects to the scene. This will increase the total number of objects. | THOUGHT 2: The image above displays the scene after successfully adding the 2 blue pyramid objects, bringing the current total to 9 objects (7 initial + 2 new pyramids). The next and final step is to add 4 BLACK CONE objects. This will be the last modification to the scene before calculating the final count. | null | Not supported with pagination yet | null | Not supported with pagination yet | THOUGHT 3: The final visual representation shows all objects after both operations have been completed. We started with 7 objects, added 2 blue pyramids (7+2=9), and then added 4 black cones (9+4=13). Therefore, the total number of objects in the scene is 13. | train | cc-by-nc-4.0 | procedural_grid | 16,560 | S5.replay_unsupported | ||||
5b3931f3cdd88faf | zebra_multihop | multihop_counting | Consider the arrangement of objects shown in the image below, viewed from a Left45 angle. You are required to perform two sequential operations on these objects:
Step 1: Eliminate one ORANGE object from the scene.
Step 2: Introduce three new BLUE CAPSULE objects into the scene.
After completing these steps, determine t... | null | 2 | 1 | 2 | THOUGHT 0: First, I will analyze the initial configuration of objects presented in the problem image to understand the starting state. The problem asks for the count of green objects after two specific modifications. I will process each operation sequentially to arrive at the final configuration.
THOUGHT 1: The first ... | From the updated image, it is clear that the single orange cylinder initially present has been removed. The two green objects (one cone and one cylinder) remain, along with the two blue cones.
THOUGHT 2: The second operation requires adding three blue capsule objects. To correctly reflect this addition and confirm the... | null | Not supported with pagination yet | null | Not supported with pagination yet | null | Not supported with pagination yet | Observing the second modified image, we can see that three blue capsule objects have been successfully added to the scene. Importantly, the number of green objects has remained unchanged throughout the operations, as no operations involved adding or removing green objects. There is one green cone and one green cylinder... | train | cc-by-nc-4.0 | procedural_grid | 12,178 | S5.replay_unsupported | |||
ce96ce691a027af2 | zebra_multihop | multihop_counting | Given an initial arrangement of objects as seen from the Front0 angle in the image below, perform a series of modifications:
1. Eliminate all black-colored objects.
2. Eliminate all orange-colored objects.
3. Introduce two green cone-shaped objects.
After these operations, how many red objects remain in the scene? | null | 2 | 1 | 4 | THOUGHT 0: The problem begins with an initial set of objects shown in the provided image. To accurately track the changes and identify all objects, especially since some might be partially obscured from the initial "Front0" view, it's beneficial to shift to a different perspective, such as "Back45", which offers a clea... | THOUGHT 1: From the updated "Back45" view, we can clearly see all 9 initial objects. Now, the first step is to remove all black objects from the scene. There are two black objects: a black cube and a black cylinder. We will proceed by eliminating these. | THOUGHT 2: After removing the two black objects (the cube and the cylinder), the scene now contains 7 objects. The next instruction is to remove all orange objects. In the current configuration, we identify two orange objects: an orange torus and an orange capsule. These will be removed from the scene. | THOUGHT 3: With the black and orange objects removed, we are left with 5 objects. The final step is to add two new green cone objects to the scene. This will complete all the required modifications. | null | Not supported with pagination yet | THOUGHT 4: The scene now reflects all the specified changes: black and orange objects have been removed, and two green cones have been added. To answer the question, we need to count the number of red objects remaining. Looking at the final arrangement, there is a red cone and a red dodecahedron. Therefore, there are 2... | train | cc-by-nc-4.0 | procedural_grid | 21,088 | S5.replay_unsupported | |||||
356c374e4b539f5c | zebra_multihop | multihop_counting | Given the initial arrangement of objects shown in the image, perform a series of transformation steps. First, add two orange dodecahedron objects. Next, remove all cube-shaped objects. Then, introduce two black sphere objects. Following that, add two purple sphere objects. Finally, remove zero purple objects. After com... | null | 1 | 1 | 5 | THOUGHT 0: I will start by analyzing the initial set of objects and then meticulously apply each transformation step as described in the problem statement. The goal is to track the changes to the objects and ultimately count the red objects at the end.
THOUGHT 1: The first operation requires adding two new orange dode... | This visual representation shows the scene after the addition of the two orange dodecahedrons. All other objects from the initial setup remain.
THOUGHT 2: For the second step, all objects identified as cubes must be removed from the scene. I'll create a new image to reflect this removal. | The resulting image displays the arrangement of objects after all cube shapes have been successfully removed, leaving only the remaining objects from the previous step.
THOUGHT 3: The third operation instructs us to introduce two black sphere objects into the current set. I will generate an updated image to show this ... | This visual thought illustrates the state of the objects after the two black spheres have been added to the scene, building upon the previous changes.
THOUGHT 4: Next, I need to add two purple sphere objects to the collection. A new image will help visualize the updated configuration. | The image now clearly shows the addition of the two purple spheres, integrated with the existing objects from the preceding steps.
THOUGHT 5: The final step specifies removing zero purple objects. This operation implies no change to the current set of purple objects, or any other objects for that matter. Therefore, th... | As expected, this image confirms that the scene is identical to the previous one, as removing zero objects means no alteration occurs.
THOUGHT N: Having completed all the specified operations, I can now inspect the final arrangement of objects to count how many are red. Looking at the final image, there is only one re... | train | cc-by-nc-4.0 | procedural_grid | 24,077 | S5.replay_unsupported,S9.px=384 | ||||||
e12ef84a1ea5d446 | zebra_multihop | multihop_counting | Given an initial arrangement of objects as seen in the image, you are instructed to perform two sequential operations: First, remove two cone-shaped objects. Second, add two new purple cylinder-shaped objects to the scene. After these operations, determine the total count of purple-colored objects present. | null | 2 | 1 | 2 | THOUGHT 0: I will begin by analyzing the initial scene to identify all objects and their types and colors. The image shows a Red Capsule, an Orange Cone, a Green Cone, a Red Pyramid, a Red Cube, and a Blue Cone, totaling six objects. The task requires me to modify this arrangement in two steps and then count the purple... | THOUGHT 2: After performing the first operation, the visual representation in the first reasoning image shows that the orange cone and the green cone have been removed, leaving only the blue cone along with the red capsule, red pyramid, and red cube. The next step is to add two purple cylinder objects to this modified ... | null | Not supported with pagination yet | null | Not supported with pagination yet | null | Not supported with pagination yet | THOUGHT 3: The second reasoning image displays the scene after both operations have been completed. We can observe the original red capsule, red pyramid, red cube, and blue cone, now accompanied by two newly added purple cylinders. The question specifically asks for the number of purple objects. By inspecting the final... | train | cc-by-nc-4.0 | procedural_grid | 12,157 | S5.replay_unsupported,S8.phash_near_but_distinct | |||
68bbf7ba45ab0c9b | zebra_multihop | multihop_counting | Given an initial arrangement of objects shown in the image below, perform a series of five sequential modifications. After completing all operations, determine the total count of green objects remaining.
The operations are:
1. Introduce 2 BLACK CAPSULE shapes.
2. Eliminate 1 BLACK object.
3. Incorporate 4 RED SPHERE sh... | null | 2 | 1 | 5 | THOUGHT 0: First, I'll analyze the starting configuration of objects presented in the initial image. It appears there are 9 distinct objects. I will then proceed to execute each specified operation sequentially to track the changes in the scene and ultimately identify the number of green objects.
THOUGHT 1: The first ... | From this visual representation, I can confirm that two black capsules have been successfully added, increasing the total count of objects.
THOUGHT 2: Next, the problem requires removing one black object. Since there are multiple black objects now, I will remove one of the newly added black capsules. A new visual will... | The updated image clearly shows that one black object has been removed from the previous state, reducing the total object count by one.
THOUGHT 3: The third step instructs us to introduce four red sphere-shaped objects. To keep track of the evolving scene, I will visualize the current state with these new additions. | The generated image confirms the presence of four additional red spheres, making the scene more populated.
THOUGHT 4: For the fourth operation, I need to remove three cone-shaped objects. I will update the scene to reflect this removal and generate a new image to verify the change. | The visual update shows that three cone objects have been successfully eliminated from the scene, simplifying the arrangement.
THOUGHT 5: The final operation is to remove one cylinder object. I will apply this last change and then generate the final visual representation before counting the green objects. | This last image clearly displays the scene after the removal of one cylinder, allowing for the final count of green objects. Now that all operations are complete, I can count the number of green objects present in the final configuration shown in the last image. | train | cc-by-nc-4.0 | procedural_grid | 24,072 | S5.replay_unsupported,S9.px=384 | ||||||
bedce6d8d773315e | zebra_multihop | multihop_counting | Given the initial set of objects shown in the image below, observed from a Front45 perspective, I need to perform two sequential operations: first, add two blue dodecahedron shapes, and second, add two black cone shapes. After completing these additions, the task is to determine the total count of black objects present... | null | 3 | 1 | 2 | THOUGHT 0: First, I will analyze the initial scene depicted in the provided image to understand the starting configuration of objects. I can see 6 distinct objects with various shapes and colors: a black cube, an orange sphere, a red cylinder, a pink cylinder, a purple cone, and a purple pyramid. My plan is to execute ... | THOUGHT 2: After the first addition, the scene now includes the two blue dodecahedrons alongside the original objects. The count of black objects remains one (the black cube). Following this, the next step requires me to add two black cone objects to the existing scene. This will further alter the collection of objects... | null | Not supported with pagination yet | null | Not supported with pagination yet | null | Not supported with pagination yet | THOUGHT N: After performing both operations, the final visual representation clearly shows all the objects. I can now count the total number of black objects. Initially, there was one black cube. After adding the two black cones, the total count of black objects is one (the cube) plus two (the cones), resulting in thre... | train | cc-by-nc-4.0 | procedural_grid | 12,215 | S5.replay_unsupported | |||
622702586d50b050 | zebra_multihop | multihop_counting | Given an initial set of objects displayed in the image below, viewed from the Back0 perspective, perform two sequential operations. First, add two orange cube objects to the scene. Second, remove all green objects present. After these operations, determine the final count of red spheres. | null | 1 | 1 | 3 | THOUGHT 0: I will begin by analyzing the initial state of the objects shown in the provided image. The problem states the current view is from the 'Back0' angle. To get a more comprehensive understanding of all objects, it's beneficial to adjust the viewing perspective to a 'Right45' angle. This will allow for a cleare... | THOUGHT 1: The initial scene, as observed from the Right45 angle in the previous image, contains 10 distinct objects: one red sphere, one red pyramid, one red cylinder, one green pyramid, one green torus, one purple dodecahedron, one purple cone, two orange cubes, and one orange capsule. The first operation requires ad... | THOUGHT 2: After adding the two orange cubes, the scene, as depicted in the previous image, now contains 12 objects. The next and final operation is to remove 2 GREEN objects. Since there were exactly two green objects (one green pyramid and one green torus) in the scene, both will be removed. This will reduce the tota... | null | Not supported with pagination yet | null | Not supported with pagination yet | THOUGHT 3: Following the removal of the two green objects, the final configuration of objects is shown in the image above. All green objects are now gone. I can clearly see one red sphere, one red pyramid, one red cylinder, one purple dodecahedron, one purple cone, four orange cubes, and one orange capsule. The questio... | train | cc-by-nc-4.0 | procedural_grid | 16,702 | S5.replay_unsupported | ||||
a0b49829b60ade49 | zebra_multihop | multihop_counting | Given an initial set of objects presented in the image below, viewed from a Back45 angle, perform a series of operations. First, eliminate all objects classified as CUBEs. Second, remove zero SPHERE objects. Finally, determine the total count of black cubes remaining after these operations. | null | 0 | 1 | 2 | THOUGHT 0: I will begin by carefully examining the initial scene presented in the image to identify all objects and their properties. There are 8 distinct objects in the initial configuration. My plan is to execute the given operations sequentially and then answer the final question based on the resulting state.
THOUG... | THOUGHT 2: After performing the first step, where the blue cube and the black cube were removed, the visual representation above shows the remaining objects. Now, the next operation specifies to "Remove 0 SPHERE object." This is a critical detail, as removing zero objects means no changes should occur to the current se... | null | Not supported with pagination yet | null | Not supported with pagination yet | null | Not supported with pagination yet | THOUGHT 3: As confirmed by the visual thought, the scene remains unchanged after the instruction to remove zero spheres. The objects present are precisely those that remained after the cubes were removed. Now, to answer the final question, I need to count how many black cubes are present in this final configuration. Lo... | train | cc-by-nc-4.0 | procedural_grid | 12,171 | S5.replay_unsupported | |||
2c79e972f5ece3df | zebra_multihop | multihop_counting | Consider the initial arrangement of objects shown in the image, viewed from the Back0 angle. Your task is to perform two sequential operations: First, eliminate all blue objects. Second, remove zero green objects. Finally, determine the total count of blue cylinders remaining after these operations. | null | 0 | 1 | 3 | THOUGHT 0: The problem presents an initial scene with several geometric objects. To accurately identify and manipulate them according to the given instructions, it's beneficial to view the scene from a different angle, specifically Front45, which provides a clearer perspective of all objects. This will help in precisel... | From this new Front45 perspective, we can clearly see the six distinct objects: a blue cylinder, a green cylinder, a purple capsule, a black capsule, a red pyramid, and an orange torus. This comprehensive view allows us to proceed with the first operation.
THOUGHT 1: The first operation instructs us to remove all blue... | After removing the blue cylinder, the scene now contains five objects: the green cylinder, the purple capsule, the black capsule, the red pyramid, and the orange torus. No blue objects remain.
THOUGHT 2: The second instruction states to remove 0 green objects. This operation implies no change to the current set of obj... | null | Not supported with pagination yet | null | Not supported with pagination yet | As expected, the scene remains unchanged after the second operation. The objects still present are the green cylinder, the purple capsule, the black capsule, the red pyramid, and the orange torus. Now we can address the final question.
THOUGHT N: The problem asks for the number of blue cylinders remaining after all op... | train | cc-by-nc-4.0 | procedural_grid | 16,758 | S5.replay_unsupported | ||||
cf37bb405897828f | zebra_multihop | multihop_counting | Given an initial setup of various 3D objects as depicted in the image below, you are required to perform a sequence of four operations. First, remove all pyramid-shaped objects. Second, add four new red capsule objects to the scene. Third, remove all capsule-shaped objects that are present. Fourth and finally, introduc... | null | 2 | 1 | 4 | THOUGHT 0: I will begin by carefully examining the initial arrangement of objects presented in the problem image. The initial scene contains 6 distinct objects: a blue cylinder, a red pyramid, a blue capsule, a blue pyramid, a red torus (donut), and a purple torus (donut). I need to systematically apply each transforma... | After executing Step 1, both the red pyramid and the blue pyramid have been removed. The remaining objects are now a blue cylinder, a blue capsule, a red torus, and a purple torus.
THOUGHT 2: The next step is to add 4 RED CAPSULE objects to the current scene. I will create an updated visual representation to reflect t... | Following Step 2, four new red capsules have been introduced. The scene now contains the blue cylinder, the original blue capsule, four new red capsules, the red torus, and the purple torus.
THOUGHT 3: According to the third operation, I must now remove all CAPSULE objects from the environment. This means both the blu... | Upon completing Step 3, all five capsule objects (one blue and four red) have been successfully removed. The only objects left are the blue cylinder, the red torus, and the purple torus.
THOUGHT 4: The final operation specifies adding 2 BLUE DODECAHEDRON objects to the current set. I will generate a final image to dep... | null | Not supported with pagination yet | With the addition of the two blue dodecahedrons, the scene now consists of a blue cylinder, a red torus, a purple torus, and two blue dodecahedrons. The question asks for the number of "donuts." In this context, "donuts" refer to the torus-shaped objects. From the final image, it's clear there are two such objects: one... | train | cc-by-nc-4.0 | procedural_grid | 21,326 | S5.replay_unsupported,S8.phash_near_but_distinct | |||||
3a6cbaeca3e9bbd4 | zebra_multihop | multihop_counting | Given an initial setup of various 3D objects, as depicted in the image below, which is viewed from the Right0 angle, you need to perform a sequence of operations:
Step 1: Eliminate 0 PURPLE objects.
Step 2: Eliminate 2 CUBE objects.
After these operations are completed, determine the total count of pyramid-shaped objec... | null | 2 | 1 | 3 | THOUGHT 0: The problem begins with an initial arrangement of six distinct objects, as seen in the provided image. To accurately identify and manipulate these objects according to the instructions, it's beneficial to view them from a different perspective that offers a clearer overview. Therefore, I will first adjust th... | THOUGHT 1: Now with a better vantage point from the Back45 angle, I can proceed with the first instruction: "Remove 0 PURPLE object." Since the instruction specifies removing zero purple objects, no objects are actually removed in this step, and the scene remains unchanged. | THOUGHT 2: With the first step complete (and no objects removed), I will now execute the second instruction: "Remove 2 CUBE objects." From the current view, I can identify two cube-shaped objects: one orange and one purple. I will remove both of these from the scene. The resulting arrangement of objects after this remo... | null | Not supported with pagination yet | null | Not supported with pagination yet | THOUGHT 3: After performing both specified removal operations, I can now clearly count the remaining pyramid objects in the final configuration. Observing the last generated image, there are two pyramid shapes left. | train | cc-by-nc-4.0 | procedural_grid | 16,561 | S5.replay_unsupported | ||||
6bff82eda5ddf9be | zebra_multihop | multihop_counting | Given the initial arrangement of objects shown in the image below, perform a series of operations:
Step 1: Incorporate 3 PURPLE CONE objects into the scene.
Step 2: Eliminate 3 objects that are PURPLE in color.
Step 3: Introduce 4 BLACK DONUT objects.
Step 4: Add 3 BLUE DODECAHEDRON objects.
After completing all these ... | null | 0 | 1 | 4 | THOUGHT 0: I will begin by analyzing the initial set of objects displayed in the problem image. The initial scene contains a red cylinder, a brown cylinder, two orange dodecahedrons, a red donut, and a purple donut, totaling 6 objects. I will then meticulously follow each instruction, updating the scene visually and me... | THOUGHT 2: After adding the 3 purple cones, as shown in the previous image, the scene now includes one purple donut and three purple cones, making a total of four purple objects. The next instruction is to remove 3 PURPLE objects. This is a critical step, as it will directly impact the count of purple objects, includin... | THOUGHT 3: Observing the updated scene in the previous image, it's clear that the 3 purple objects removed consisted of the single purple donut and two of the three purple cones. This leaves only one purple cone and no purple donuts remaining in the scene. The third operation instructs us to add 4 BLACK DONUT objects. ... | THOUGHT 4: Following the addition of 4 black donuts, as depicted in the image above, the scene now contains these new objects alongside the existing ones, with no purple donuts present. The final operation is to add 3 BLUE DODECAHEDRON objects. These objects are blue and dodecahedrons, so they will not change the count... | null | Not supported with pagination yet | THOUGHT 5: All operations have been completed, and the final state of the objects is shown in the last image. Throughout the steps, we carefully tracked the purple objects. Initially, there was one purple donut. After adding purple cones, we had four purple objects (one donut, three cones). The subsequent removal of th... | train | cc-by-nc-4.0 | procedural_grid | 21,469 | S5.replay_unsupported,S8.phash_near_but_distinct | |||||
ad87f727b5d9e20a | zebra_multihop | multihop_counting | Given the initial arrangement of objects shown in the image, viewed from a Right45 angle, perform a series of operations. First, add two black cube objects. Next, remove one orange object. Then, remove two black objects. Finally, remove one donut object. After completing all these steps, determine the total count of bl... | null | 1 | 1 | 4 | THOUGHT 0: First, I will analyze the initial scene to identify the objects present. The image shows a collection of six distinct objects: one black sphere, one green cylinder, one blue cube, one green dodecahedron, one orange cone, and one black donut. I will then meticulously apply each operation in the given sequence... | Upon reviewing the updated image, we can see that two black cubes have been successfully introduced into the scene. The total number of objects is now 8.
THOUGHT 2: Next, I need to execute the second operation: removing one orange object from the scene. I will generate a new visual representation to reflect this modif... | The updated image now clearly shows the absence of the orange cone, demonstrating the successful removal of the specified object. The total number of objects is now 7.
THOUGHT 3: The third instruction is to remove two black objects. This involves identifying any two black objects (regardless of shape) and eliminating ... | After this step, the visual confirms that two black objects have been removed. Specifically, the black sphere and one of the black cubes are no longer present, leaving only one black cube and the black donut. The total number of objects is now 5.
THOUGHT 4: Finally, the last operation requires the removal of one donut... | null | Not supported with pagination yet | The final image shows that the black donut object has been removed. At this point, all specified operations have been completed. The remaining objects are one green cylinder, one blue cube, one green dodecahedron, and one black cube. To answer the question, I simply need to count the blue cubes. There is one blue cube ... | train | cc-by-nc-4.0 | procedural_grid | 21,304 | S5.replay_unsupported | |||||
43d6019306eea829 | zebra_multihop | multihop_counting | Given an initial arrangement of objects viewed from a top-down perspective, perform a series of four operations:
1. Remove 0 GREEN objects.
2. Remove 0 GREEN objects.
3. Add 4 ORANGE DODECAHEDRON objects.
4. Remove 1 ORANGE object.
After completing these steps, the task is to determine the total number of dodecahedrons... | null | 4 | 1 | 5 | THOUGHT 0: I will begin by analyzing the initial scene provided in the problem description. The image shows the objects from a top-down angle, which can make it difficult to discern their exact shapes. To get a clearer understanding of the objects present before any operations, I will generate a view from a 45-degree f... | From this new perspective, I can clearly identify the initial objects: an orange torus, an orange sphere, an orange teardrop, a green cylinder, and a purple cylinder. At this point, there are no dodecahedrons in the scene.
THOUGHT 1: The first operation specified is "Step 1: Remove 0 GREEN object." This instruction in... | The visual confirmation shows that the five objects are still present, and no changes have occurred.
THOUGHT 2: The second operation is "Step 2: Remove 0 GREEN object." Similar to the previous step, this command also requires the removal of zero green objects. Consequently, the collection of objects in the scene will ... | As expected, the scene remains identical, confirming that no objects were added or removed in this step.
THOUGHT 3: Next, we execute "Step 3: Add 4 ORANGE DODECAHEDRON objects." This operation introduces new objects into the scene. Specifically, four new orange dodecahedrons are placed among the existing items. | After this addition, the scene now contains the original five objects plus the four newly added orange dodecahedrons. This brings the total count of dodecahedrons in the scene to 4.
THOUGHT 4: The final operation is "Step 4: Remove 1 ORANGE object." To correctly determine the number of dodecahedrons, I need to identif... | The scene now consists of 8 objects in total: the orange sphere, orange teardrop, green cylinder, purple cylinder, and the 4 orange dodecahedrons. Since the removed object was not a dodecahedron, the count of dodecahedrons remains 4. | train | cc-by-nc-4.0 | procedural_grid | 24,149 | S5.replay_unsupported,S9.px=384 | ||||||
7498f384f70bb8ba | zebra_multihop | multihop_counting | Consider the collection of objects shown in the image below, initially viewed from the Right0 perspective.
Perform the following two sequential operations:
Step 1: Remove two objects that are black in color.
Step 2: Add two new objects, both of which are black cylinders.
After these operations are completed, determine ... | null | 2 | 1 | 3 | THOUGHT 0: The problem begins with an initial arrangement of six distinct objects. To accurately follow the instructions, I need to process each step sequentially. The current view, as presented in the problem image, is from a "Right0" angle. To gain a clearer understanding of all objects and their positions, it would ... | THOUGHT 1: The first visual thought provides a better, more spread-out view of all six initial objects. I can now clearly identify all objects and their colors. The next step, according to the problem, is to remove two black objects. From the current view, I can see one black cylinder and one black sphere. I will proce... | THOUGHT 2: After performing the first operation, the scene now contains four objects: a purple capsule, a purple dodecahedron, an orange cylinder, and a red octahedron. The two black objects have been successfully removed. The next instruction is to add two new objects, both of which must be black cylinders. I will now... | null | Not supported with pagination yet | null | Not supported with pagination yet | THOUGHT 3: The final configuration of objects is now complete, with the two black cylinders having been added. The scene now contains the original purple capsule, purple dodecahedron, orange cylinder, red octahedron, and the two newly added black cylinders. To answer the question, I simply need to count the number of p... | train | cc-by-nc-4.0 | procedural_grid | 16,733 | S5.replay_unsupported | ||||
76acc00993c38dfa | zebra_multihop | multihop_counting | Given the initial arrangement of objects shown in the image below, perform a series of operations:
1. Add 3 ORANGE PYRAMID objects.
2. Remove 1 ORANGE object.
3. Remove 2 ORANGE objects.
4. Remove all BLUE objects.
After completing these steps, determine the total count of red objects remaining. | null | 1 | 1 | 4 | THOUGHT 0: To begin, I will carefully examine the initial scene provided in the problem description. The image displays a collection of various colored and shaped objects. My strategy will be to sequentially apply each transformation step and visually track the changes to the objects present, ultimately identifying the... | After adding the three orange pyramids, the scene now contains more orange objects, specifically three new pyramid shapes, alongside the original objects.
THOUGHT 2: The next instruction is to remove 1 ORANGE object from the current collection. I need to update the scene to reflect this removal. | Observing the updated image, one orange object has been successfully removed from the scene, resulting in a slightly reduced number of orange items.
THOUGHT 3: Following that, the third step instructs us to remove an additional 2 ORANGE objects. I will generate a new visual representation to show the result of this rem... | With two more orange objects gone, the visual now clearly shows fewer orange items than in the previous step, moving closer to the final state.
THOUGHT 4: The final operation is to remove all BLUE objects from the scene. I will generate an image depicting the scene after all blue objects have been cleared. | null | Not supported with pagination yet | Having removed all blue objects, the scene is now significantly sparser. Upon inspection of this final visual, I can clearly identify the remaining objects. The question asks for the number of red objects. I can see only one red object, which is the red torus. | train | cc-by-nc-4.0 | procedural_grid | 21,146 | S5.replay_unsupported,S8.phash_near_but_distinct,S14.sampled_qa | |||||
9bdbd5a7ed7249a7 | zebra_multihop | multihop_counting | Given an initial arrangement of objects as shown in the image below, viewed from the Left0 angle, you are asked to perform a sequence of operations.
The operations are:
Step 1: Remove 0 PURPLE objects.
Step 2: Remove all ORANGE objects.
After performing these steps, determine the total count of black objects remaining. | null | 3 | 1 | 3 | THOUGHT 0: To begin, I observe the initial set of objects displayed in the problem image. There are a total of 7 objects visible. The problem specifies that the initial view is from the Left0 angle. To get a clearer perspective of all objects and accurately perform the subsequent operations, it's beneficial to rotate t... | THOUGHT 1: Now that we have a better view from the Left45 angle, I will proceed with the first operation: "Remove 0 PURPLE objects." This instruction means that no purple objects are to be removed from the scene. Therefore, the arrangement of objects remains unchanged after this step. | THOUGHT 2: With the first operation complete (and resulting in no changes), I will now execute the second operation: "Remove all ORANGE objects." From the current view, I can clearly identify one orange cone. This object must be removed from the scene. After its removal, I will count the remaining black objects. | null | Not supported with pagination yet | null | Not supported with pagination yet | THOUGHT 3: After successfully removing the orange object as per the instructions, the scene now contains only the remaining objects. I can clearly identify the black cylinder, the black sphere, and the black ring. There are no other black objects. | train | cc-by-nc-4.0 | procedural_grid | 16,545 | S5.replay_unsupported | ||||
a0b5ea8bb3c99288 | zebra_multihop | multihop_counting | Given the initial arrangement of objects shown in the image, currently viewed from the Back0 angle, perform a sequence of two operations: First, add three GREEN DONUT objects to the scene. Second, remove all objects that are GREEN. After these operations are completed, determine the total number of blue pyramids remain... | null | 1 | 1 | 3 | THOUGHT 0: The problem begins with an initial set of objects and asks for a final count of blue pyramids after two transformation steps. The initial image is presented from a "Back0" angle. To better visualize the objects and subsequent changes, it's beneficial to rotate the view to a "Right45" angle. This new perspect... | THOUGHT 1: The updated view from the Right45 angle, as seen in the previous image, provides a clearer perspective of the initial seven objects. The first operation requires adding three new GREEN DONUT objects to this scene. I will now generate an updated visual to reflect this addition. | THOUGHT 2: With the three green donuts now added to the scene, as depicted in the previous image, the next step is to remove all objects that are green. This includes the single green cylinder present initially, as well as the three green donuts just added. I will now generate the final visual representation after this... | null | Not supported with pagination yet | null | Not supported with pagination yet | THOUGHT 3: After removing all green objects, as shown in the updated visual, the remaining objects are one black cylinder, one red cylinder, one brown cylinder, one orange donut, one purple donut, and one blue pyramid. The question specifically asks for the number of blue pyramids. Observing the final state, there is c... | train | cc-by-nc-4.0 | procedural_grid | 16,591 | S5.replay_unsupported | ||||
79d305e76c4b2f85 | zebra_multihop | multihop_counting | Given the initial arrangement of objects shown in the image below, which is viewed from the Back0 angle, apply the following sequence of transformations: First, introduce 2 RED SPHERE objects. Next, add 2 GREEN CUBE objects to the scene. Subsequently, eliminate all objects that are BLUE in color. Finally, remove a sing... | null | 2 | 1 | 5 | THOUGHT 0: To begin, I need to understand the initial state of the objects presented in the problem image. The problem specifies a "Back0" angle view, which might not offer the best perspective for object manipulation. To facilitate clearer tracking and manipulation of the objects through the subsequent steps, I will f... | THOUGHT 1: With the improved Left45 viewing angle, all the initial 9 objects are clearly visible, making it easier to proceed with the operations. The first step requires adding 2 RED SPHERE objects to the current arrangement. I will now visualize this addition. | THOUGHT 2: The scene now accurately reflects the addition of the two red spheres, increasing the total object count. Moving on to the second step, I need to introduce 2 GREEN CUBE objects into the environment. This action will further modify the collection of objects. | THOUGHT 3: Having successfully added the green cubes, the next instruction is to remove all BLUE objects from the scene. Looking at the current state (as shown in the previous image), I can identify three blue objects: two blue dodecahedrons and one blue cylinder. These will now be removed. | THOUGHT 4: With all blue objects successfully cleared, the scene is updated. The final operation specifies removing exactly 1 BLACK object. From the remaining objects, I observe two black items: a black capsule and a black cylinder. I will remove one of these, specifically the black capsule, to fulfill the requirement. | THOUGHT N: After completing all the specified operations, the final configuration of objects is displayed in the last visual thought. To answer the question, I will now count the number of purple objects present in this final scene. I can clearly see one purple dodecahedron and one purple tetrahedron. Therefore, there ... | train | cc-by-nc-4.0 | procedural_grid | 24,043 | S5.replay_unsupported,S9.px=384 | ||||||
e8c6e12b1006620d | zebra_multihop | multihop_counting | Given an initial setup of objects as depicted in the image below, you are asked to perform a series of sequential operations. The initial view is from a Right45 angle.
The operations are:
Step 1: Introduce 2 additional BLUE CYLINDER objects to the scene.
Step 2: Eliminate all objects that are BLUE in color.
Step 3: Inc... | null | 0 | 1 | 3 | THOUGHT 0: I will begin by analyzing the initial state shown in the problem image to identify the starting objects. Then, I will meticulously follow each described operation in sequence, updating the set of objects after each step, to ultimately determine the number of blue cylinders at the end. The initial image clear... | From the visual update, it's clear that we now have three blue cylinders (one original, plus two new ones) along with the brown cylinder, black cube, purple sphere, and pink pyramid. The total number of objects has increased from 5 to 7.
THOUGHT 2: The next instruction is to remove all objects that are blue. This requ... | As seen in the updated image, all three blue cylinders that were present in the previous step have been successfully removed. The remaining objects are the brown cylinder, black cube, purple sphere, and pink pyramid. At this point, there are no blue cylinders left in the scene.
THOUGHT 3: The final operation requires ... | null | Not supported with pagination yet | null | Not supported with pagination yet | The final image confirms the addition of four green capsule objects. The scene now contains the brown cylinder, black cube, purple sphere, pink pyramid, and four green capsules. Crucially, throughout this step, no blue cylinders were introduced or removed, meaning the count of blue cylinders remains zero, as it was aft... | train | cc-by-nc-4.0 | procedural_grid | 16,855 | S5.replay_unsupported | ||||
e736a305352e67dd | zebra_multihop | multihop_counting | Consider the collection of objects shown in the image below, presented from a Front45-degree angle. Your task is to perform two sequential operations: First, add 2 RED DODECAHEDRON objects. Second, add 4 GREEN DONUT objects. After completing these steps, determine the total number of objects present. | null | 14 | 1 | 2 | THOUGHT 0: First, I will identify the number of objects initially present in the scene depicted in the problem image. By carefully counting each distinct object in the initial setup, I ascertain there are 8 objects. I will then proceed with the specified operations step by step.
THOUGHT 1: The first operation requires... | The image provided here serves as a visual reference to the original arrangement of objects. After adding 2 RED DODECAHEDRON objects to the initial 8, the total number of objects becomes 8 + 2 = 10.
THOUGHT 2: The second operation instructs us to add 4 GREEN DONUT objects to the current collection. I will update the r... | null | Not supported with pagination yet | null | Not supported with pagination yet | null | Not supported with pagination yet | This visual again helps in recalling the context of the initial scene, while the numerical calculation updates the count. Adding 4 GREEN DONUT objects to the previously accumulated 10 objects results in a new total of 10 + 4 = 14 objects.
THOUGHT N: Having performed both specified additions, the final count of all obj... | train | cc-by-nc-4.0 | procedural_grid | 12,097 | S5.replay_unsupported | |||
3fe0b3c535401a5b | zebra_multihop | multihop_counting | Given an initial scene with various 3D objects, as depicted in the image (viewed from a Left0 angle), you are required to perform a series of modifications. First, add two PURPLE DONUT objects. Next, remove two BLACK objects from the scene. Finally, add three BLUE CONE objects. After these operations, determine the tot... | null | 1 | 1 | 4 | THOUGHT 0: To begin, I need to analyze the initial set of objects presented in the problem. The provided view is from a Left0 angle, which isn't optimal for clearly identifying all objects. Therefore, I will generate an image from a Left45 angle to get a better overview of the scene and accurately count the initial obj... | THOUGHT 1: From the improved Left45 view, I can clearly identify all 9 initial objects. These include one black dodecahedron, one orange icosahedron, one black sphere, two black donuts, one blue capsule, one red sphere, one green cube, and one purple donut. Now, I will proceed with the first operation: adding two PURPL... | THOUGHT 2: After adding the two new purple donuts, the scene now contains a total of 11 objects. We can see the newly added purple donuts alongside the original objects. The next step is to remove two BLACK objects. I will identify two black objects to remove and generate the updated scene. | THOUGHT 3: Following the removal of two black objects, specifically the two black donuts, the scene now has 9 objects remaining. The black dodecahedron and black sphere are still present. The final operation requires adding three BLUE CONE objects. I will update the scene to reflect this change. | null | Not supported with pagination yet | THOUGHT 4: With the addition of three blue cones, the scene now contains a total of 12 objects. Throughout these operations, the number of black dodecahedrons has remained constant. Initially, there was one black dodecahedron, and it was not among the black objects that were removed. Therefore, there is still one black... | train | cc-by-nc-4.0 | procedural_grid | 21,144 | S5.replay_unsupported | |||||
d3a3f5a44578c1e5 | zebra_multihop | multihop_counting | Consider the initial arrangement of objects shown in the image below, viewed from a "Left0" angle. Your task is to apply a series of transformations: First, remove two CONE objects. Next, remove zero PURPLE objects. Finally, add four PURPLE SPHERE objects. After these operations, determine the total number of objects p... | null | 11 | 1 | 4 | THOUGHT 0: I will begin by analyzing the initial scene presented in the problem image. By counting the distinct shapes, I can determine the starting number of objects. The current view is from the Left0 angle, which might not be ideal for clearly identifying all objects for subsequent operations. To ensure a better und... | THOUGHT 1: From the initial image and the new perspective, I can confirm there are 9 objects: a red cone, a green cylinder, a red cylinder, a purple pyramid, a blue cube, a green cone, a green dodecahedron, a green torus, and a blue torus. Now, I will proceed with the first operation as stated in the problem: "Remove 2... | THOUGHT 2: After executing the first step, two cone objects (the red cone and the green cone) have been successfully removed, leaving 7 objects. Now, I will proceed to the second operation: "Remove 0 PURPLE object." This instruction is quite explicit, indicating that no purple objects should be taken away. Therefore, t... | THOUGHT 3: The scene remains with 7 objects as expected after the second step. Now, for the final operation: "Add 4 PURPLE SPHERE objects." I will introduce four new objects, each being a sphere and colored purple, into the scene. After adding these new objects, I will count the total number of objects to arrive at the... | null | Not supported with pagination yet | THOUGHT 4: After adding 4 purple sphere objects to the existing 7 objects, the total count is 7 + 4 = 11 objects. | train | cc-by-nc-4.0 | procedural_grid | 21,235 | S5.replay_unsupported | |||||
622dc7635ae3f74e | zebra_multihop | multihop_counting | Given an initial arrangement of objects as shown in the image below, perform a series of modifications:
1. Introduce 3 new GREEN CAPSULE objects.
2. Eliminate 1 PURPLE object from the scene.
3. Remove all DONUT-shaped objects.
After these operations, determine the total count of capsule objects remaining. | null | 4 | 1 | 4 | THOUGHT 0: The problem presents an initial set of objects and requires a sequence of modifications before counting the final number of capsules. To better visualize the objects and their transformations, I will first adjust the viewing angle from Front0 to Front45. This will provide a clearer perspective for tracking t... | THOUGHT 1: The initial scene, as seen from the new Front45 angle in the previous image, contains various shapes and colors. The first step in the problem instructions is to add 3 GREEN CAPSULE objects to this current arrangement. I will now visualize this addition. | THOUGHT 2: After adding the three green capsules, the scene now contains more objects, specifically more capsules. The next operation is to remove exactly one PURPLE object. I will proceed to eliminate one of the purple objects from the current configuration. | THOUGHT 3: With one purple object removed, the scene has fewer items. The final instruction is to remove all DONUT objects. I will now clear all objects that are identified as donuts from the scene to reach the final configuration before counting. | null | Not supported with pagination yet | THOUGHT 4: Having completed all specified operations – adding green capsules, removing a purple object, and removing all donuts – the final state of the objects is depicted in the last image. To answer the question, I need to count only the capsule objects remaining in this final view. Observing the final image, there ... | train | cc-by-nc-4.0 | procedural_grid | 21,061 | S5.replay_unsupported | |||||
e6e76821d8bbb69c | zebra_multihop | multihop_counting | Given an initial set of objects displayed in the image below, you are required to perform a sequence of five operations:
1. Remove all SPHERE objects.
2. Add 4 BLACK CAPSULE objects.
3. Add 4 RED SPHERE objects.
4. Add 4 BLUE CAPSULE objects.
5. Remove 2 DONUT objects.
After completing all these steps, determine the to... | null | 17 | 1 | 5 | THOUGHT 0: To begin, I will carefully examine the initial image to ascertain the types and total count of objects present at the start. The initial scene, as depicted in the problem image, contains 8 distinct objects: 2 red spheres, 2 green cubes, 2 blue cylinders, and 2 yellow donuts. This initial count of 8 objects w... | THOUGHT 2: After removing the 2 red spheres, the collection now consists of 2 green cubes, 2 blue cylinders, and 2 yellow donuts, totaling 6 objects. The next step is to add 4 new black capsule objects to this set. A new visual representation will help confirm the updated state and count. | THOUGHT 3: With the addition of the 4 black capsules, the total count increases to 10 objects. Now, the third operation requires adding 4 red sphere objects to the scene. I will generate another image to illustrate this cumulative change. | THOUGHT 4: After integrating the 4 red spheres, the total number of objects has increased to 14. The fourth operation specifies adding 4 blue capsule objects. To maintain a clear and accurate understanding of the evolving object collection, I'll create an image showing this latest addition. | THOUGHT 5: Following the addition of the 4 blue capsules, the collection now holds 18 objects. The final operation involves removing 2 donut-shaped objects from the current assortment. A final visualization will present the scene after all transformations are complete, allowing for a final count. | THOUGHT 6: After removing the 2 donut objects, the final collection contains 16 objects: 2 green cubes, 2 blue cylinders, 4 black capsules, 4 red spheres, and 4 blue capsules. | train | cc-by-nc-4.0 | procedural_grid | 24,010 | S5.replay_unsupported,S8.phash_near_but_distinct,S9.px=384 | ||||||
7af6f944a9f1fa6d | zebra_multihop | multihop_counting | Given an initial collection of objects displayed in the image below, viewed from a Back45 angle, you are tasked with performing a series of operations. First, add two orange pyramid objects. Second, remove one purple object. Third, remove all objects that are orange. Finally, remove all objects that are blue. After exe... | null | 4 | 1 | 4 | THOUGHT 0: I will begin by carefully examining the initial image to ascertain the starting number of objects. The image presents 8 distinct objects. My plan is to systematically apply each of the four specified operations, updating the set of objects at each stage, until I can determine the final count.
THOUGHT 1: The... | Upon reviewing the updated visual, it's clear that two orange pyramid objects have been successfully integrated into the scene. This brings the total number of objects from the initial 8 to 10.
THOUGHT 2: Next, I need to execute the second operation: remove one PURPLE object from the current arrangement. To clearly il... | The newly generated image confirms that one purple object has been successfully removed from the set. This action reduces the total count of objects from 10 down to 9.
THOUGHT 3: The third step requires removing *all* ORANGE objects from the existing collection. To accurately reflect this significant change and procee... | Observing the image, all objects that were orange (including the two orange pyramids added earlier and the original orange cube) have been successfully eliminated from the scene. This further reduces the total number of objects. There were 3 orange objects in total, so removing them leaves 6 objects (9 - 3 = 6).
THOUG... | null | Not supported with pagination yet | The final visual representation clearly displays the objects that remain after all blue objects have been removed. From the previous step, there were 6 objects. Two blue objects (a blue cube and a blue cylinder) were present, and their removal leaves a total of 4 objects. This image provides the conclusive count for th... | train | cc-by-nc-4.0 | procedural_grid | 21,348 | S5.replay_unsupported |
End of preview. Expand in Data Studio
Spatial MMCoT v1 · zebra_multihop
Zebra-CoT multi-hop object counting over rendered 3D scenes (primitive objects on textured ground under a sky). Many traces open with a viewpoint change, so the first target is often a novel view. The final thought re-examines the last target image, but on some rows it only says it counts the objects and never states the number; the count is then only in <answer>. Released rows carry 2 to 5 target images. 2,057 traces with more target images than the declared maximum were refused (S9), not cut, so every released row keeps its full chain. 803 rows (flags S9.px=*) were over the token budget at full size, so their targets are stored smaller; the BAGEL/ThinkMorph VAE transform (min_image_size 512) scales them back up for the image loss, so those targets are trained as upsampled, softer images. The thoughts keep upstream's numbered labels ('THOUGHT 0:', 'THOUGHT 1:', ...) inside <think>. They count upstream's thoughts across the whole trace, not the row's slots, so one slot often holds two or more labelled thoughts, and a slot after a target image can open with the unlabelled end of the previous thought. No other source in this release has these labels; if you mix sources and do not want a model to learn them, remove them with re.sub(r'THOUGHT \d+:\s*', '', text). Refused by the conversion's checks: 1,142 rows whose question announces operations without listing them (S0.ops_not_stated); 2,061 rows whose answer is not an integer (S0.non_integer_answer); 33 rows whose read-back is empty (S0.empty_readback).
Supervision kind (supervision_kind in meta): full_interleaved on every row: the upstream trace itself interleaves text and target images (drawn or rendered states on most sources; the source note above says which), and the read-back comes after the target image it reads. The text is upstream's and was not checked against the images.
Upstream: multimodal-reasoning-lab/Zebra-CoT. Licence: cc-by-nc-4.0. Changes from upstream: every image is decoded, re-encoded as JPEG and downscaled (the input to 512x288; targets to 911x512, or 448 or 384 px wide on rows flagged S9.px=*); the image placeholders in the question and the reasoning were removed and the sentence around each repaired, sometimes by inserting words such as 'the image'; the reasoning is split into one thought per target; the ThinkMorph system prompt is prepended to the question; rows were filtered and balanced as described below.
Known issues
Rows with a measured per-row problem are listed in reports/known_issues/, one TSV per issue (a # <description> line, then row_uid<TAB>split<TAB>detail lines), so they can be filtered out. They are still in this release: no row was removed for these issues.
| issue | rows | train | validation | what | how it was found | file |
|---|---|---|---|---|---|---|
target_repeats_earlier_target |
695 | 673 | 22 | A target is byte-identical to an earlier target of the same row (a 'remove 0 X objects' step, or objects added and then removed), so the model is trained to redraw an image it has already drawn; S8 compares targets only with the input image. | sha1 of target j equals the sha1 of some target i < j of the same row; measured 2026-09-25; known_issues.py sha1 655e5307; export 4aaee1f rows 23c1e1f7/20559881 | reports/known_issues/target_repeats_earlier_target.tsv |
readback_states_no_count |
385 | 377 | 8 | The final thought never writes the answer's number: it promises to count, lists the objects without a total, or gives only an intermediate or partial number (a few say it without a numeral, e.g. 'only the purple capsule remains' for 1), so the number exists only in <answer> (read-backs that state a different count are listed in readback_states_other_count instead). | neither the digits of <answer> nor its number word (zero/no/none for 0; for 1, 'the only <singular noun>' but not 'a', 'an' or 'single') appears as a word in the read-back, after removing upstream's 'THOUGHT k:' labels; rows of readback_states_other_count excluded; measured 2026-09-25; known_issues.py sha1 655e5307; export 4aaee1f rows 23c1e1f7/20559881 | reports/known_issues/readback_states_no_count.tsv |
readback_states_other_count |
13 | 13 | 0 | The final thought states a count for what the question asks about that is not the label (e.g. 'which sums up to 8 objects in total' with <answer> 9), so the text contradicts <answer>. | the read-back (without 'THOUGHT k:' labels) never states the answer's number, and a count verb (there is/are, contains, leaves, sums up to, the total count becomes, ...) is followed by a number and a noun phrase carrying every attribute of the question's counted phrase ('N objects' / 'N in total' when all objects are counted); a number that starts an enumeration without a colon is skipped; measured 2026-09-25; known_issues.py sha1 655e5307; export 4aaee1f rows 23c1e1f7/20559881 | reports/known_issues/readback_states_other_count.tsv |
To leave the listed rows out (the snippet in the loader section downloads reports/known_issues/ with the data):
import glob, os
root = "<root>/zebra_multihop"
drop = {line.split("\t")[0] for f in glob.glob(os.path.join(root, "reports/known_issues/*.tsv"))
for line in open(f) if line.strip() and not line.startswith(("#", "row_uid\t"))}
# keep a row when its row_uid (a column of train/, meta/ and preview/) is not in drop
Measured caveats
Measured on this release by the pre-publication review (2026-09-25): problems that cannot be listed row by row (a shortcut in the options, a label convention, an upstream labelling scheme) and what the review found around the lists above. Where a caveat counts listed rows ("listed as ..."), the count is the table's, read from reports/known_issues/summary.json. Its other numbers are the review's own measurements, which no file carries: they hold for exactly these rows and are not re-measured automatically. Items marked Training-signal defect are problems in what the rows teach, not only in how they are described; no row was removed for them.
- Training-signal defect. In 673 training rows (22.6%) and 22 validation rows (listed as
target_repeats_earlier_target) a target is byte-identical to an earlier target of the same row (on 604 training and 22 validation rows the target immediately before), after a step that leaves the scene unchanged ('remove 0 RED objects') or removes objects added earlier. The model is trained to redraw an image it has just drawn, the identity-map shortcut. S8 compares targets only with the input image, so these rows are neither dropped nor flagged. - S8 dropped 918 rows (
S8.chain_broken) because a target image was judged a copy of the input image and a multi-step chain cannot lose a state. That copy test (mean grey difference at most 2.0 and at most 1% of pixels changed, at 64x64) was not calibrated for these renders, where removing one small object changes fewer than 1% of the pixels: in about 555 of them every target judged a copy differs visibly from the input (typically one small object removed), so those rows were dropped in error, and about 363 contain a real copy (a zero-count operation or objects added and then removed). The release therefore under-represents traces whose first step removes one small object without a viewpoint change. - On 385 rows (377 train, 8 validation; listed as
readback_states_no_count), 12.6% of the rows, the final thought never states the number (e.g. 'After performing both specified operations, we can now count the remaining cube objects to answer the question.',319f1f03e6e09404); the count is then only in<answer>.
Size
| split | rows | target image slots | distinct target images |
|---|---|---|---|
| train | 2,972 | 11,069 | 10,329 |
| validation | 94 | 335 | 309 |
A slot is one target position in one row. No target image here is shared between rows: every repeat is inside one row, a target identical to an earlier target of the same row (after a step that leaves the scene unchanged, such as 'remove 0 RED objects'; see Known issues).
| task | train | validation |
|---|---|---|
| multihop_counting | 2,972 | 94 |
Input images per row: 1. Target images per row (the images the model is trained to generate): 2 to 5.
Image corpus (source_scene_corpus): procedural_grid 3,066. procedural_grid is this pipeline's label for any procedurally generated synthetic image (2D grid puzzles and simple 3D renders of primitive objects alike); the source note above says what the images show.
Row format
One row is: input image(s) and a question, then K rounds of thought → target image (the target is the source's own ground-truth image, which the model is trained to generate), then a final thought (normally a read-back of the last target; where a source's final thought is something else, or often leaves out the answer, the source note or Known issues says so) and the answer; here K is 2 to 5. In the train config:
image_list list<binary> inputs first, then the K target images in order
num_input_images int64 how many of image_list are inputs
instruction_list list<string> one element: system prompt + question
output_text_list list<string> K+1 elements:
[0] <think>plan 1</think><image_start>
[j] <image_end><think>plan j+1</think><image_start>
[K] <image_end><think>read-back</think><answer>answer</answer>
row_uid string join key to `meta` and `preview`
Every image is a JPEG, and no input image is larger than 512 px on its long edge (measured on this release, 2026-09-25); the size each target was stored at is target_px in meta.
<answer> holds exactly meta.answer_value (also the answer column of preview) on every row: score model output against that string.
The system prompt is ThinkMorph's VLM_THINK_SYSTEM_PROMPT from its inferencer.py, verbatim (GEN_THINK_SYSTEM_PROMPT there has the same text), including its leading and trailing newline. The markers are plain strings, not tokenizer special tokens; the prompt writes </image_end> and the data writes <image_end>, exactly as the ThinkMorph-7B checkpoint was trained.
preview shows the same rows with one column per slot: input_image_i for the inputs; for each of the K = num_steps rounds, the plan thought_j and its target target_image_j, both empty for K <= j < 5; and the read-back in thought_5 on every row.
meta holds the per-row sidecar: task, scene_id and geometry_uid (the scene and geometry keys; the split key is named in the split paragraph below), trajectory_id (a camera-path or sample label, empty where the source has none), num_steps, num_input_images, answer_type, answer_value, majority_class_rate, target_image_kind, target_px, est_tokens, licence, split (train / validation, the Hub split names), supervision_kind (full_interleaved / visual_aux / visual_only) and filter_flags. majority_class_rate is the share of the task's most frequent answer_value among its training rows: it measures answer skew and is not a guessing baseline (where a task mixes question types or each row has its own options it can be far below chance); compare scores with the text-only baselines below.
Per-row license in meta: cc-by-nc-4.0 3,066.
Flags on released rows (filter_flags in meta and preview, comma-separated):
| flag | rows | meaning |
|---|---|---|
S5.replay_unsupported |
3,066 | no solver re-derives this task's answer from the trace, so S5 did not replay it |
S9.px=384 |
725 | targets stored at this long-edge size (px) because the row was over the token budget at full size; the trainer's VAE transform (short edge at least 512) scales them back up, so these targets are trained as upsampled, softer images |
S8.phash_near_but_distinct |
286 | a target's perceptual hash is within 6 bits of an input image's, but its pixels differ, so it is not a copy; kept |
S14.sampled_qa |
200 | chosen for the S14 human spot-check (reports/s14_sample.tsv) |
S9.px=448 |
78 | targets stored at this long-edge size (px) because the row was over the token budget at full size; the trainer's VAE transform (short edge at least 512) scales them back up, so these targets are trained as upsampled, softer images |
Training with a BAGEL-family loader
Every row here has one input image (num_input_images is 1), so the stock ThinkMorph UnifiedEditIterableDataset (https://github.com/ThinkMorph/ThinkMorph: image_list[0] as input, image_list[j+1] after output_text_list[j]) and the IPT release's version (which reads num_input_images) both read it as intended. Mixed with a source whose rows have more than one input image, only a loader that reads num_input_images is correct.
The stock BAGEL edit loader (ByteDance-Seed/Bagel) cannot train these rows: it never reads output_text_list and expects each instruction_list element to be a list of paraphrases.
parquet_info.json keys each training chunk as <source>/<split>/<file>, here zebra_multihop/train/chunk_00000.parquet, with row-group counts read from the parquet footers. The loader matches a chunk only when its key equals the path it builds, os.path.join(data_dir, file), and skips a chunk with no key without a warning: a source that is alone in its group then fails with IndexError: list index out of range, and in a mixed group it adds no rows. Download into a directory named after the source, not after the repository:
from huggingface_hub import snapshot_download
snapshot_download("yrlyrl/spatial-mmcot-zebra_multihop", repo_type="dataset", local_dir="<root>/zebra_multihop",
allow_patterns=["train/*", "validation/*", "parquet_info.json", "reports/known_issues/*"])
Then either run from <root> with data_dir: zebra_multihop/train and parquet_info_path: zebra_multihop/parquet_info.json, or rebuild the index with absolute keys and use an absolute data_dir:
import json, os
root = "/abs/path/to/root" # the directory that holds zebra_multihop/
info = json.load(open(os.path.join(root, "zebra_multihop", "parquet_info.json")))
info = {os.path.join(root, k): v for k, v in info.items()}
json.dump(info, open(os.path.join(root, "zebra_multihop", "parquet_info_abs.json"), "w"))
# data_dir = os.path.join(root, "zebra_multihop", "train") (spelled exactly so, no trailing slash)
# parquet_info_path = os.path.join(root, "zebra_multihop", "parquet_info_abs.json")
The Hugging Face cache (.../snapshots/<hash>/train/) or a folder named spatial-mmcot-zebra_multihop matches no key.
num_used_data counts chunk files, not rows: the loader repeats this source's file list up to that number, lists every (file, row group) pair, and deals whole row groups out, floor(R / world_size) to each rank and floor(that / num_workers) to each DataLoader worker. The remainder is never read. This source has 1 training chunk file holding 24 row groups of up to 128 rows, so keep num_used_data large, e.g. the 128 of ThinkMorph's interleaved_reasoning.yaml (upstream's example.yaml asks for more than GPUs x workers); every row group is then read. Set to 1 and alone in its group on 8 GPUs with 4 workers, it gives every DataLoader worker an empty list, and the iterator then loops forever printing repeat without yielding a row. In a run that mixes sources, give each source the same multiple of its own training chunk-file count, e.g. 128 per file (128 here): the file list is repeated up to num_used_data entries, so a flat 128 for every source would read a two-file source's rows half as often as a one-file source's.
How the rows were chosen
| stage | rows |
|---|---|
| upstream rows read | 10,000 |
refused before conversion (S0raw; each reason is in the table below) |
3,203 |
| quarantined at S4c (an automatic check could not match the read-back's conclusion to the label) | 92 |
| dropped at S5 (the text contains a phrase from S5's self-contradiction list, e.g. 'does not make sense', 'discrepancy', 'there must be a mistake'; a keyword match, not a comparison with the images, so it also removes some sound rows) | 17 |
| dropped at S8 (a target was removed as a copy of an input, as transparent or as too small, and the row had no target left or was a multi-step chain that cannot lose a state) | 918 |
| dropped at S9 (over the token budget or too many target images) | 2,057 |
| refused by the final structural check (S0, after S9) | 33 |
| after conversion and per-row filters | 3,680 |
| removed by S10 (none) | 0 |
| removed by answer-prior balancing (S13) | 614 |
| released | 3,066 |
Every removed row has one line, with its reason, in reports/:
| file | step | reason (the line's flag, or the field shown) |
rows |
|---|---|---|---|
build/dropped.jsonl |
S0 | S0.empty_readback |
33 |
build/dropped.jsonl |
S0raw | S0.non_integer_answer |
2,061 |
build/dropped.jsonl |
S0raw | S0.ops_not_stated |
1,142 |
build/dropped.jsonl |
S5 | S5.self_contradiction |
17 |
build/dropped.jsonl |
S8 | S8.chain_broken |
918 |
build/dropped.jsonl |
S9 | S9.needs_truncation |
2,057 |
build/quarantine.jsonl |
S4c | S4c.cot_label_conflict |
92 |
s13_dropped.jsonl |
S13 | step: answer |
614 |
Every line of s13_dropped.jsonl has reason: prior_downsample; step names the balancing pass that removed it, and split is written train or val (the Hub's validation).
S0raw lines in build/dropped.jsonl were refused before a release row existed, so their row_uid field holds the converter's key for the upstream record, not a 16-hex row_uid; lines from later steps carry the row_uid the row had. No removed row appears in meta or preview. For this source the key is built from upstream fields that repeat across rows (for most sources a hash of the question text), so it is not unique: the 2,061 S0.non_integer_answer lines carry 2,059 distinct keys. Those rows are counted with their reason but cannot be traced to individual upstream rows.
92 rows were quarantined rather than dropped (S4c): an automatic check could not match the read-back's stated conclusion to the stored label. They were not reviewed by hand, and some are phrasing mismatches rather than wrong labels.
S8.k_zero and S8.chain_broken name what happened to the row, not which check removed the image; the lines in this build do not record whether it was the size, transparency or copy check.
Per-step counters of the conversion
10,000 upstream rows were read; S0raw refused 3,203 before a row existed and passed 6,797 to the first step. S0 runs once more, last, on the final bytes. The reason for every refused, dropped or quarantined row is in the files above.
| step | in | out | dropped | quarantined | rejected | repaired |
|---|---|---|---|---|---|---|
| S0raw (refused before conversion) | 10,000 | 6,797 | 0 | 0 | 3,203 | 0 |
| S4 | 6,797 | 6,797 | 0 | 0 | 0 | 0 |
| S4c | 6,797 | 6,705 | 0 | 92 | 0 | 0 |
| S5 | 6,705 | 6,688 | 17 | 0 | 0 | 0 |
| S8 | 6,688 | 5,770 | 918 | 0 | 0 | 0 |
| S9 | 5,770 | 3,713 | 2,057 | 0 | 0 | 0 |
| S0 (final structural check, after S9) | 3,713 | 3,680 | 33 | 0 | 0 | 0 |
The train/validation split keeps rows sharing a scene_id in meta on one side, and the assignment is frozen (splits/ in the summary repository). scene_id is the md5 of the upstream input image (problem_image_1), so a key is one input image; geometry_uid repeats it and trajectory_id is empty. S12 saw 3,680 rows under 3,680 keys, one row per key, so the split is in effect per row. No validation input image has the content of a training input image, and none is a pixel-level near-copy of one. S12 does not record per source whether that test ran, but it skips it only for a source whose spec sets split_leak_pixels: false, and no spec does; over all sources it compared 21,661 candidate pairs (perceptual hash within 6 bits) pixel by pixel and found no near-copy (checked 2026-09-25).
Answer-prior balancing (S13)
Each (task, split) group is checked separately. An answer is the answer value compared as lower-cased text without a trailing full stop, with 'farther' read as 'further' and 'nearer' as 'closer' (for multiple choice, the option text, not the letter; where the candidates are drawn in the image, as in zebra_jigsaw and zebra_tetris, the answer is the letter itself). An answer is real when it holds at least 5 rows and 2% of the group; k is the number of real answers. Answer step: the target is max(30%, 1/k) when k >= 2, and max(30%, 1/d) over the d distinct answers when k = 1; a validation group uses the larger of its own target and its task's train target. A group is cut only when k >= 1 and its most common answer holds more than the target plus 5 percentage points; every answer is then capped at one common count, chosen so that none exceeds the target, and smaller answers keep all their rows. At the answer step, a group at or below that trigger, or with no real answer (k = 0), is left as it is, so its most common answer can hold up to the target plus 5 percentage points. A task whose train group has exactly two real answers is instead cut, in every split, so that its two largest answers have equal counts, with no trigger. Rank and label steps: then, in a group where every option value of every row is a number, the rank of the correct option among the sorted values, and after it, in a group where every trained answer is an option label, the label, are each capped by the same cut-and-trigger rule on their own counts (own target, validation included): capped, never evened out, so two labels are cut only when one exceeds 55%, and then only down to 50%. These steps can also cut groups the answer step left whole, including k = 0 groups, and can raise an answer's final share above its target; the run fails if a real answer ends above the target plus 5 percentage points. A train group of at least 20 rows in which one answer holds 90% or more fails the run. PET (exact_cells_pet) instead cuts each (question type x turn direction) cell to equal counts of its two answers; a PET cell that shows only one answer is removed.
| task | split | pass | rule | rows in → out | real answers k | target | largest share, before → after | cut |
|---|---|---|---|---|---|---|---|---|
| multihop_counting | train | answer | cap30[canon] |
3,574 → 2,972 | 8 | 30.0% | 41.8% → 30.0% | yes |
| multihop_counting | validation | answer | cap30[canon] |
106 → 94 | 7 | 30.0% | 37.7% → 29.8% | yes |
S13 removed 614 rows from this source.
Text-only baselines
Accuracy of guessers that never see an image. For each task the released training rows are split into two fixed halves by a hash of row_uid; each guesser is fitted on one half and scored once on the other (one held-out half, not cross-validation; eval rows below). The reference is chance (the mean of 1 / number of options) where every row is multiple choice, and otherwise the eval-half accuracy of always giving the answer most common in the fit half (when a task's top answers are nearly tied, this need not be the task's most common answer; the line after the table gives that answer's validation score). Accuracies are recounted from the stored rates and eval rows, so they are exact. A task is flagged when a text-only guesser beats its reference by more than 0.15 (for a free-form task, a guesser other than the most common answer). A flagged task can be partly answered from the text alone; an unflagged task passed only these probes, which do not prove the text carries no answer. Report scores on every task next to this baseline.
Guessers: keywords: the most common answer per set of spatial words in the question; majority: the answer most common in the fit half; template: the most common answer per question wording (numbers masked, object names kept).
| task | best text-only guesser | accuracy | reference | margin | eval rows | flagged |
|---|---|---|---|---|---|---|
| multihop_counting | template |
0.294 | 0.294 (majority) | +0.000 | 1,498 | no |
Always giving the most common training answer, scored on the validation split (the constant baseline to compare validation scores with): multihop_counting: always answering 1 (30.0% of training rows) scores 0.298 (28/94).
Spot-check (S14)
Pending. The S14 rows are chosen and flagged S14.sampled_qa in meta and preview; the human pass over them has not been signed off yet.
Citation
Zebra-CoT is by Ang Li, Charles Wang, Deqing Fu, Kaiyu Yue, Zikui Cai, Wang Bill Zhu, Ollie Liu, Peng Guo, Willie Neiswanger, Furong Huang, Tom Goldstein and Micah Goldblum, released under CC BY-NC 4.0; this repository is a converted subset of it (the changes are listed under the licence line above). Its card asks users to cite:
@inproceedings{li2026zebracot,
title={Zebra-CoT: A Dataset for Interleaved Vision-Language Reasoning},
author={Ang Li and Charles Wang and Deqing Fu and Kaiyu Yue and Zikui Cai and Wang Bill Zhu and Ollie Liu and Peng Guo and Willie Neiswanger and Furong Huang and Tom Goldstein and Micah Goldblum},
booktitle={The Fourteenth International Conference on Learning Representations},
year={2026},
url={https://openreview.net/forum?id=c6XIVI3TiQ}
}
Provenance
The release files were written by our conversion code (the code repository is not public yet), scripts/convert/export.py at commit 4aaee1f4e946, from build zebra_multihop_r2. The build was made by scripts/convert/run_source.py from the same repository at commit 949af62f8ab7. S10, S12 and S13 ran before the export; reports/export_manifest.json pins every input the export read by SHA-1 (build_manifest_sha1, s10_keep_sha1, s12_assignments_sha1, s13_balanced_keep_sha1).
Every row removed between upstream and this release has one line, with its reason, in reports/: build/dropped.jsonl (rows refused before conversion or dropped by a conversion step); build/quarantine.jsonl (rows set aside by S4c because an automatic check could not match the read-back's conclusion to the label); s10_dropped.jsonl (duplicates removed by S10); s10_label_conflicts.jsonl (rows S10 withheld because another row asks the identical question, options in the same order, of the same images with a different answer); s13_dropped.jsonl (rows removed by answer-prior balancing). known_issues/ lists rows with a measured problem (see Known issues); reports/ also holds the build manifest (absolute paths cut to basenames) and counters, the S14 sample list (s14_sample.tsv: row_uid, task, split) and export_manifest.json. Part of yrlyrl/spatial-mmcot.
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