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@@ -85,3 +85,4 @@ gpt-image-2/gpt-image-2_judge.xlsx filter=lfs diff=lfs merge=lfs -text
 qwen-image-edit-2509/qwen-image-edit-2509_judge.xlsx filter=lfs diff=lfs merge=lfs -text
 qwen-image-edit-2511/qwen-image-edit-2511_judge.xlsx filter=lfs diff=lfs merge=lfs -text
 wan2_2/wan2_2_judge.xlsx filter=lfs diff=lfs merge=lfs -text
+BAGEL_with_cot/bagel_judge.xlsx filter=lfs diff=lfs merge=lfs -text

BAGEL_with_cot/bagel.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d45892f582461020b941061b221dd4a9ef79d21848aff1c921ad757c862f92be
+size 994401

BAGEL_with_cot/bagel_judge.csv

@@ -0,0 +1,36 @@
+-,Score-Origin,Score-Percentage,Accuracy
+Overall,2.971944444444444,49.2986111111111,0.15833333333333333
+Temporal,3.315294117647059,57.88235294117647,0.11764705882352941
+Causal,3.813333333333333,70.33333333333333,0.2777777777777778
+Spatial,3.4900000000000007,62.250000000000014,0.21
+Logical,1.1282352941176468,3.2058823529411695,0.011764705882352941
+Overall_Reasoning,2.9055555555555554,47.638888888888886,
+Overall_ApprConsistency,4.025495750708215,75.63739376770538,
+Overall_VisualPlausibility_total,4.2690909090909095,81.72727272727273,
+Temporal_Reasoning,3.235294117647059,55.88235294117647,
+Temporal_Consistency,4.2625,81.5625,
+Temporal_Quality,4.152941176470589,78.82352941176471,
+Causal_Reasoning,3.7777777777777777,69.44444444444444,
+Causal_Consistency,4.556818181818182,88.92045454545455,
+Causal_Quality,4.322222222222222,83.05555555555554,
+Spatial_Reasoning,3.38,59.5,
+Spatial_Consistency,4.26,81.5,
+Spatial_Quality,4.32,83.0,
+Logical_Reasoning,1.0941176470588236,2.352941176470591,
+Logical_Consistency,2.976470588235294,49.411764705882355,
+Temp-Life Progression,3.4631578947368418,61.57894736842104,0.05263157894736842
+Temp-Material Progression,3.21304347826087,55.32608695652175,0.10869565217391304
+Temp-Environmental Cycles,3.569230769230769,64.23076923076923,0.15384615384615385
+Temp-Societal Transformation,3.1142857142857143,52.85714285714286,0.2857142857142857
+Causal-Structural Deformation,3.9722222222222223,74.30555555555556,0.3055555555555556
+Causal-State Transition,3.88,72.0,0.32
+Causal-Chemical and Biological Transformation,3.8625000000000003,71.5625,0.3125
+Causal-Physics Manifestation,3.1846153846153844,54.61538461538461,0.07692307692307693
+Spa-Component Assembly,3.347826086956522,58.69565217391305,0.2608695652173913
+Spa-Object Arrangement,2.6,40.0,0.08333333333333333
+Spa-Viewpoint Generation,3.8222222222222224,70.55555555555556,0.18518518518518517
+Spa-Structural Inference,3.8133333333333335,70.33333333333334,0.2
+Spa-Layout Reasoning,3.4956521739130437,62.39130434782609,0.2608695652173913
+Logic-Pattern Prediction,1.064516129032258,1.6129032258064502,0.0
+Logic-Mathematical Derivation,1.3285714285714287,8.214285714285719,0.07142857142857142
+Logic-Puzzle Solving,1.1075000000000002,2.6875000000000036,0.0

BAGEL_with_cot/bagel_judge.xlsx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2f96749619ab3713a0310a2601b71c3386d519731b171841e92a42d331495e5f
+size 273001

BAGEL_with_cot/image/causal_reasoning/causal_reasoning_1.txt

@@ -0,0 +1,7 @@
+<think>
+To address the question, I first observe the question_image, which depicts a whole, unblemished apple with a stem and leaf. The question_text asks for a depiction of the apple after being bitten by people, implying a transformation from its pristine state to a more dynamic and interactive scenario.
+
+To create the answer image, I would conceptualize the apple being partially eaten, with visible marks and textures on its surface to suggest the action of biting. The stem and leaf should remain intact, as they are not typically affected by biting. Additionally, the apple could be placed on a surface with crumbs or small pieces scattered around to enhance the realism of the scene.
+
+The answer image would likely include a few bites taken out of the apple, with the remaining flesh showing signs of texture and color variation due to the bite marks. The background might remain neutral, keeping the focus on the apple and its altered state. This approach aligns with the user's request for a depiction of the apple after being bitten by people.
+</think>

BAGEL_with_cot/image/causal_reasoning/causal_reasoning_10.txt

@@ -0,0 +1,9 @@
+<think>
+To address the question, I first observe the original shirt in the question_image, which features a rust-like pattern with splatters of red and brown tones. The user wants to visualize how the shirt would look after being washed with a small amount of water but without detergent. 
+
+The reasoning involves understanding the effects of rinsing on the pattern. Without detergent, the rust-like appearance might fade slightly, and the red and brown tones could appear less saturated or washed out. The shirt would likely retain some of its original color and texture but show a subtle change due to the water rinsing.
+
+For the answer_image, I would depict the shirt with a slightly lighter and more muted color palette, especially in the areas where the rust-like pattern is most prominent. The splatters would appear less intense, and the overall fabric might look a bit smoother, as if it has been rinsed. The shirt should still maintain its general shape and design, but the visual impact of the pattern would be reduced due to the water rinsing effect.
+
+This approach ensures the user's request is met by showing the shirt's transformation after rinsing without detergent.
+</think>

BAGEL_with_cot/image/causal_reasoning/causal_reasoning_11.txt

@@ -0,0 +1,9 @@
+<think>
+To address the question, I first observe the question_image, which shows a soccer ball resting on grass. The question_text asks for a depiction of the ball three seconds after being punctured. This implies a dynamic change in the ball's state, such as air escaping or deformation.
+
+To reason through this, I would consider the physical properties of a soccer ball, including its material (likely leather or synthetic leather) and the pressure it holds. After being punctured, the ball would likely lose air, causing it to deflate and possibly deform slightly. The surface might appear slightly wrinkled or uneven due to the loss of tension.
+
+For the answer_image, I would visualize the soccer ball deflating, with visible signs of air loss such as a bulge or uneven surface where the puncture occurred. The grassy background would remain consistent, but the ball would appear slightly smaller and less taut. The deformation would emphasize the ball's loss of shape and air pressure.
+
+This reasoning ensures the final image and description accurately represent the ball's state three seconds after being punctured.
+</think>

BAGEL_with_cot/image/causal_reasoning/causal_reasoning_12.txt

@@ -0,0 +1,3 @@
+<think>
+The user wants to visualize the glass after half of the liquid has been poured out. The original image shows a full glass of Coca-Cola with ice and a lemon slice. To create the answer, I would remove half of the liquid, leaving only half the beverage in the glass. The ice and lemon slice should remain untouched to preserve the original presentation. The glass should still appear chilled, with condensation visible on the surface. The background and lighting should remain consistent with the original image to maintain realism.
+</think>

BAGEL_with_cot/image/causal_reasoning/causal_reasoning_13.txt

@@ -0,0 +1,7 @@
+<think>
+The question_image shows a row of deflated balloons in various colors, and the question_text asks to visualize them fully inflated. This indicates the user wants a transformation of the balloons from their current state to a fully inflated, round shape.  
+
+To address this, I focus on the balloon shapes and colors. Each balloon in the original image is stretched and deflated, so I imagine them expanded to their full round form. The colors should remain consistent with the original image, maintaining the vibrant hues of red, yellow, green, blue, and purple.  
+
+For the answer_image, I would depict each balloon fully inflated, maintaining their original shapes but now appearing round and smooth. The inflated balloons should retain the same relative positions and colors as in the original image, ensuring continuity and clarity. This transformation visually fulfills the user's request while keeping the image cohesive and visually appealing.
+</think>

BAGEL_with_cot/image/causal_reasoning/causal_reasoning_14.txt

@@ -0,0 +1,9 @@
+<think>
+The question_image shows a sponge with a scrubbing surface on top and a spongy base. The question_text asks to visualize what it will look like after absorbing water, implying the sponge will swell and become wet.  
+
+To reason through this, I consider the sponge's structure: the scrubbing surface is likely denser and more absorbent, while the base is softer and more porous. After absorbing water, the sponge will expand, with the scrubbing surface becoming visibly wet and the base swelling significantly.  
+
+The answer_image would depict the sponge fully saturated with water, with the scrubbing surface appearing darker and shinier due to the wetness, and the base looking plumper and more textured. The overall appearance should convey the sponge’s increased size and the water’s presence.  
+
+This reasoning ensures the final image aligns with the user's request for a depiction of the sponge after absorbing water.
+</think>

BAGEL_with_cot/image/causal_reasoning/causal_reasoning_15.txt

@@ -0,0 +1,7 @@
+<think>
+The question asks for a depiction of what the glass would look like after falling from a height to the ground. The question_image shows a clean, intact glass, suggesting it is made of clear, unbreakable material. The user likely wants to visualize the consequences of the glass breaking upon impact.
+
+To create the answer_image, I would focus on showing the glass shattered into multiple pieces, with sharp edges and cracks. The glass fragments should be scattered across the surface below, emphasizing the impact. The background should remain consistent with the original image to maintain continuity, but the focus should shift to the broken glass.
+
+The answer_text would describe the glass as shattered, with pieces scattered around, and mention the sharpness of the edges to convey the aftermath of the fall. This aligns with the user's request to visualize the result of the glass breaking.
+</think>

BAGEL_with_cot/image/causal_reasoning/causal_reasoning_16.txt

@@ -0,0 +1,9 @@
+<think>
+To address the question, I first observe the question_image, which shows a tightly knotted rope. The user likely wants to visualize the rope after the knot is untied, focusing on the transformation from a compact, knotted form to a straight, untangled rope.  
+
+The question_text explicitly asks for the appearance of the rope after it is untied, so the final answer should depict the rope in its fully extended and untangled state. This involves showing the rope as a continuous, unbroken strand with no knots or twists, emphasizing its smooth, linear structure.  
+
+In forming the answer_image, I would ensure the rope is displayed in a way that highlights its length and uniform texture. The image should show the rope lying flat, uncoiled, and possibly arranged in a simple, symmetrical manner to emphasize its untangled state. The lighting and background should remain consistent with the original image for clarity and continuity.  
+
+This approach ensures the user's request is fulfilled by providing a clear visual representation of the untangled rope, aligning with the question's intent.
+</think>

BAGEL_with_cot/image/causal_reasoning/causal_reasoning_17.txt

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+<think>
+The question involves visualizing the outcome of a cardboard box left outside in the rain for a whole day. The question_image shows an open cardboard box in a clean, dry state, while the question_text asks for a depiction of how the box would look after exposure to rain.  
+
+To reason through this, I consider the effects of prolonged rain on cardboard. The box would likely become wet, with water pooling inside and possibly dripping from the flaps. The cardboard could warp or bend from the moisture, and the edges might appear softened or frayed due to the water's impact.  
+
+The answer_image would need to show these effects: the box would appear damp and possibly waterlogged, with visible water droplets or puddles inside. The flaps might droop or sag, and the overall structure could look slightly misshapen. The background would likely remain neutral to keep the focus on the box itself.  
+
+In forming the answer_text, I would describe the box's wet and weathered appearance, emphasizing the effects of rain exposure. This reasoning aligns with the user's request for a visualization of the box in its post-rain state.
+</think>

BAGEL_with_cot/image/causal_reasoning/causal_reasoning_18.txt

@@ -0,0 +1,9 @@
+<think>
+To address the question, I first observe the vase in the question_image, noting its delicate design, the intricate tree pattern, and its glossy white surface. The user wants to visualize the vase after it has been shattered by a hammer, which implies a dramatic transformation from a whole, intact object to a broken, fragmented state.
+
+Considering the material and structure of the vase, I imagine it breaking into multiple sharp shards, with jagged edges and a scattering of pieces around it. The shattered fragments should maintain some semblance of the original design, such as the tree pattern, but with portions of the design disrupted or obscured by the cracks and breaks.
+
+In the answer_image, I would expect to see the vase in pieces, with the broken shards spread across a surface, possibly with some pieces still partially intact. The sharp edges and uneven surfaces of the shards should be clearly visible, emphasizing the force of the breakage. The scattered arrangement of the shards should convey the randomness and intensity of the impact.
+
+This reasoning ensures the final image aligns with the user's request to depict the vase in its shattered state, focusing on the contrast between its original elegance and the chaotic aftermath.
+</think>

BAGEL_with_cot/image/causal_reasoning/causal_reasoning_19.txt

@@ -0,0 +1,9 @@
+<think>
+To address the question, I first observe the question_image, which depicts a deflated object resembling a basketball. The question_text asks to visualize how it would look once inflated with air. This implies the user is curious about the transformation of the object's shape and texture when filled with air.
+
+From the question_image, the object has a smooth, curved surface with black lines resembling basketball seams. When inflated, the object would likely lose its deflated, flattened appearance and instead take on a more rounded and inflated form. The black lines would remain intact but might appear less pronounced due to the inflation.
+
+The answer_image would need to show the object fully inflated, with a more spherical or rounded shape. The surface texture would appear smoother and more taut, with the black lines still visible but less emphasized. The color and material would remain consistent with the original deflated state.
+
+In forming the answer_text, I would describe the object in its inflated state, noting the change in shape and texture. The answer_image would visually confirm this transformation, showing the object fully inflated and rounded, with the black lines still present but less prominent due to the inflation.
+</think>

BAGEL_with_cot/image/causal_reasoning/causal_reasoning_2.txt

@@ -0,0 +1,7 @@
+<think>
+The user wants to visualize the transformation of the raw meat in the question image into a roasted state. The question image shows a fresh, uncooked piece of meat with herbs and eggs in the background, indicating preparation for cooking.  
+
+To generate the answer, I would consider the visual cues of roasted meat, such as a browned, caramelized exterior with possible charring or grill marks. The texture should appear crispy and slightly dry, with a darker coloration compared to the raw state. The herbs and eggs from the original image should remain in the background to maintain continuity.  
+
+The answer image would depict the meat with a roasted appearance, emphasizing the contrast between the original raw look and the cooked result. The background elements, such as the eggs and herbs, should remain consistent to ensure the scene feels cohesive.
+</think>

BAGEL_with_cot/image/causal_reasoning/causal_reasoning_20.txt

@@ -0,0 +1,7 @@
+<think>
+The question_image shows a wooden chair, and the question_text asks to visualize how it would look after being dropped into fire. This implies a transformation from a solid wooden object to a charred, burnt state.  
+
+To create the answer image, I would focus on the chair's structure being engulfed in flames, with visible signs of burning. The wood should appear blackened and partially melted, with smoke rising around it. The fire could be depicted as bright orange and yellow, with flickering tongues of flame consuming the chair.  
+
+The final image should emphasize the destruction caused by fire, with the chair's original shape still recognizable despite the damage. The surroundings might include a smoky background to enhance the fiery effect. This approach captures the transformation and destruction process effectively.
+</think>

BAGEL_with_cot/image/causal_reasoning/causal_reasoning_21.txt

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+<think>
+The question involves visualizing the tennis ball after it has been chewed by a dog. The question_image shows a tennis ball with a fuzzy texture and distinct stitching. The user likely wants to see how the ball would look after being chewed, with signs of wear and damage.
+
+To reason through this, I consider the typical effects of chewing on a tennis ball. The ball would likely have visible tears, frayed edges, and uneven surfaces where the dog's teeth have bitten into it. The texture might appear rougher, with some areas flattened or misshapen due to the chewing action.
+
+The answer_image should depict these characteristics: a tennis ball with visible damage, such as torn sections, uneven stitching, and a worn-out appearance. The frayed texture and uneven surface should be prominent, showing the aftermath of the dog's chewing. This aligns with the user's request to visualize the ball in its chewed state.
+</think>

BAGEL_with_cot/image/causal_reasoning/causal_reasoning_22.txt

@@ -0,0 +1,5 @@
+<think>
+The user wants the bicycle in the question image to be transformed into red while maintaining its structure and layout. The original image shows a sleek, modern road bike with a neutral gray color. The transformation involves changing the frame, handlebars, and other visible components to a vibrant red tone while preserving the details like the wheels, chain, and water bottle.
+
+To achieve this, I would focus on ensuring the red color is consistent across all parts of the bike, including the frame, seat, and handlebars, while keeping the shadows and highlights natural to maintain realism. The background and lighting should remain unchanged to keep the focus on the painted bike. The final answer image would depict the bike in a bold red hue, emphasizing its sleek design and modern aesthetic.
+</think>

BAGEL_with_cot/image/causal_reasoning/causal_reasoning_23.txt

@@ -0,0 +1,3 @@
+<think>
+The user wants to visualize the aftermath of a baseball hitting the window shown in the question image. The question image depicts a window with plants and curtains inside, set into a beige wall. To create the answer image, I would imagine the window being damaged by the impact of a baseball. This would involve showing cracks or breaks in the glass, possibly with shattered pieces scattered around. The plants and curtains inside might also be slightly disrupted or disheveled due to the force of the impact. The window frame might appear slightly bent or damaged, and the wall could show minor marks or discoloration from the force. The answer image should emphasize the destruction caused by the baseball while maintaining the original context of the window and its surroundings.
+</think>

BAGEL_with_cot/image/causal_reasoning/causal_reasoning_24.txt

@@ -0,0 +1,7 @@
+<think>
+The question involves transforming the appearance of the shrimp from their current state (cooked and raw) into a deep-fried version. Observing the question_image, the shrimp are presented in a clean and raw state, with a glossy texture and natural color. The user likely wants to visualize the shrimp after undergoing the deep-frying process, which typically results in a golden-brown, crispy exterior.
+
+To create the answer_image, I would imagine the shrimp coated in batter or batter-like batter, with a golden-brown color indicating they have been fried. The texture should appear slightly uneven and crunchy, with some areas darker to suggest a well-cooked exterior. The background and plate should remain consistent with the original image, ensuring the focus stays on the transformation of the shrimp.
+
+The answer_text would describe the shrimp as being deep-fried, emphasizing their golden-brown, crispy appearance, which contrasts with their raw state in the question_image. This reasoning ensures the user's request is met effectively.
+</think>

BAGEL_with_cot/image/causal_reasoning/causal_reasoning_25.txt

@@ -0,0 +1,7 @@
+<think>
+The question involves visualizing the state of the bean bag chair after someone has been sitting on it for a long time. The question_image shows a green bean bag chair in its relaxed, inflated state. The question_text asks for a depiction of the chair immediately after someone stands up, implying the chair will lose its shape and sag due to the weight being removed.
+
+To create the answer, I would consider the physical effects of weight on the bean bag. The chair would likely appear deflated and lose its rounded shape, with the fabric sagging downward and forming creases where the person was sitting. The answer_image should depict this deflated state, showing the fabric sagging and the chair losing its original form. The color and texture of the fabric should remain consistent with the original image, but the overall structure would appear flattened and less inflated.
+
+This approach ensures the user's request is met by accurately representing the immediate post-usage state of the bean bag chair.
+</think>

BAGEL_with_cot/image/causal_reasoning/causal_reasoning_26.txt

@@ -0,0 +1,7 @@
+<think>
+The question_image shows a pristine white sneaker with a clean and modern design, while the question_text asks for a depiction of the sneaker after it gets stuck in mud. This implies the user wants to visualize the contrast between the shoe's original state and its altered condition in a muddy environment.  
+
+To create the answer_image, I would imagine the sneaker partially embedded in mud, with visible dirt and stains on its surface. The mud could appear unevenly distributed, with some areas more saturated than others, reflecting the sneaker being stuck in a natural, messy scenario. The shoe's clean white design would likely show signs of wear, such as smudges or patches of dirt, to emphasize the transformation from pristine to muddy.  
+
+The final answer_image would likely show the sneaker in a natural setting, such as a muddy path or outdoor terrain, with mud splattered on the shoe's surface to highlight the scenario. The visual should focus on the contrast between the original clean shoe and the muddy, dirty state, fulfilling the user's request effectively.
+</think>

BAGEL_with_cot/image/causal_reasoning/causal_reasoning_27.txt

@@ -0,0 +1,7 @@
+<think>
+The question_image shows a clear plastic water bottle filled with liquid, placed on a marble surface. The question_text asks to visualize what the bottle would look like after being frozen. This implies the bottle would transform into a solid block of ice, retaining the bottle's shape but with a transparent, icy texture.
+
+To create the answer image, I would imagine the bottle encased entirely in ice, with intricate details of the bottle's contours visible through the transparent ice. The ice block would likely have a crystalline texture, with sharp edges and a slightly frosty surface. The marble background should remain consistent, providing a contrast to the icy block.
+
+The answer text would describe the transformation, emphasizing the solidified state and the clarity of the ice. The final image should focus on the frozen bottle, ensuring the ice block's structure and transparency are highlighted.
+</think>

BAGEL_with_cot/image/causal_reasoning/causal_reasoning_28.txt

@@ -0,0 +1,7 @@
+<think>
+The question_image shows a healthy green leaf with distinct veins and a smooth texture. The question_text asks to visualize the leaf after being eaten by a caterpillar, implying the need to depict the damage caused by the caterpillar's feeding activity.  
+
+To reason through this, I would consider the typical effects of caterpillar feeding: the leaf would likely have holes, irregular edges, or torn sections. The veins and structure of the leaf would remain recognizable, but portions of the surface would be missing or damaged. The answer_image would need to reflect this damage, showing a leaf with clear signs of consumption, such as jagged edges or missing patches.  
+
+The final image should maintain the leaf's overall shape but display visible evidence of the caterpillar's activity, like torn sections or irregular patterns. This aligns with the user's request to show the leaf after being eaten.
+</think>

BAGEL_with_cot/image/causal_reasoning/causal_reasoning_29.txt

@@ -0,0 +1,7 @@
+<think>
+The question asks for a transformation of the blank wall into a child's artwork. The initial image shows a clean, empty wall with a wooden floor, suggesting a blank canvas ready for creativity. The child's scribbles would introduce vibrant colors and chaotic patterns, reflecting typical childlike art.  
+
+In the answer image, I would expect the wall to be covered with colorful scribbles, possibly including lines, dots, and abstract shapes. The colors would likely be bright and varied, such as reds, blues, yellows, and greens, creating a lively and playful scene. The wooden floor remains unchanged, providing a contrast to the colorful wall.  
+
+The final image should convey a sense of fun and creativity, capturing the essence of a child's spontaneous and imaginative expression.
+</think>

BAGEL_with_cot/image/causal_reasoning/causal_reasoning_3.txt

@@ -0,0 +1,3 @@
+<think>
+The question involves depicting the car after it has hit an obstacle. The question image shows a sleek black sports car parked on a suburban road during sunset, with clear surroundings and no visible damage. To address the request, I would imagine the car after an impact, incorporating realistic damage such as dents, scratches, and possibly a damaged front bumper or hood. The environment should remain consistent, retaining the suburban setting and sunset lighting. The answer image would show the car with visible damage while maintaining the same perspective and lighting conditions to ensure continuity.
+</think>