ccccEsion/IMUG-Bench huggingface dataset:
Domain: DIY / wax_seal_process

turn: 1
modality: image
input: Generate a close-up of the metal stamp head for a wax seal. The bottom face of the stamp should be engraved with the letter 'R'.
output: evaluation_points: 1. The stamp face clearly shows the letter 'R'.

2. The letter is mirrored (reversed), as is correct for a stamp.

3. The metal texture is clearly depicted.

turn: 2
modality: image
input: Generate a scene of a wax seal spoon being heated over a candle flame. The spoon contains deep blue wax pellets that are melting into liquid.
output: evaluation_points: 1. The wax in the spoon is shown in a molten, liquid state.

2. The wax color is deep blue.

3. A candle flame is visible below, providing the heat source.

turn: 3
modality: image
input: Generate the back of an envelope. A puddle of the molten wax from the previous step has just been poured onto the seal flap, but the stamp has not yet been pressed into it.
output: evaluation_points: 1. There is a puddle of liquid wax on the envelope's seal flap.

2. The wax surface is smooth and has no pattern.

3. The wax color is deep blue.

turn: 4
modality: image
input: Based on the previous image, generate the final result after pressing the stamp from Turn 1 into the wax and then lifting it away.
output: evaluation_points: 1. The wax now shows a clear, raised relief pattern.

2. The pattern is the letter 'R' and it is correctly oriented (not mirrored).

The background and other elements (e.g., the envelope) are consistent with the Turn 3 output image.

The image is clearly a modification of the Turn 3 output image, not a completely new generation.
Domain: DIY / wax_seal_process

turn: 1
modality: image
input: Please generate a close-up of the metal stamp head for a wax seal. The bottom surface of the head should be engraved with the number '7' in intaglio (recessed).
output: evaluation_points: 1. The stamp face clearly displays the number '7'.

2. The text content is in a mirrored (reversed) state, consistent with seal logic.

3. The metal texture is clearly depicted.

turn: 2
modality: image
input: Please generate a scene of a wax seal spoon being heated over a candle flame. The spoon contains emerald green wax pellets that are melting into a liquid.
output: evaluation_points: 1. The wax inside the spoon is shown in a molten, liquid state.

2. The wax color matches the specified emerald green.

3. A candle flame is depicted below, providing the heat source.

turn: 3
modality: image
input: Please generate the back of an envelope. A puddle of the molten wax from the previous step has just been dripped onto the seal flap, but the stamp has not yet been pressed into it.
output: evaluation_points: 1. There is a puddle of liquid wax on the envelope's seal flap.

2. The wax surface is smooth and lacks any pattern or impression.

3. The wax color is consistent with the emerald green mentioned in the previous step.

turn: 4
modality: image
input: Based on the previous image, please generate the final result after pressing the stamp from Turn 1 into the wax and then lifting it away.
output: evaluation_points: 1. The wax now shows a clear, three-dimensional embossed pattern.

2. The pattern is the number '7' and must be oriented correctly (readable, not mirrored).

The background (e.g., envelope, seal flap) and other non-essential elements are consistent with the Turn 3 output image.

The image is clearly a modified version of the Turn 3 output image (showing the same envelope and wax puddle location), not a completely new generation.
Domain: DIY / wax_seal_process

turn: 1
modality: image
input: Please generate a close-up of the metal stamp head for a wax seal. The bottom surface of the stamp head should be engraved with the letter 'H'.
output: evaluation_points: 1. The stamp face clearly shows the engraved letter 'H'.

2. The letter is mirrored (in reverse), consistent with seal logic.

3. The metal texture is clearly depicted.

turn: 2
modality: image
input: Please generate a scene of a wax seal spoon being heated over a candle flame. The spoon contains bronze-colored wax pellets that are melting into a liquid.
output: evaluation_points: 1. The wax in the spoon is shown in a molten, liquid state.

2. The wax color matches the specified bronze color.

3. A candle flame is depicted below, providing the heat source.

turn: 3
modality: image
input: Please generate the back of an envelope. A puddle of molten wax from the previous step has just been dripped onto the seal flap, but it has not been stamped yet.
output: evaluation_points: 1. There is a puddle of liquid wax on the envelope's seal flap.

2. The wax surface is smooth and has no pattern.

The wax color matches the bronze color specified in Turn 2's text input ("bronze-colored wax pellets").

turn: 4
modality: text
input: Based on the previous image, what will the final wax seal look like after the stamp from Turn 1 is pressed into the wax and removed?

Options:
A. A smooth, unmarked bronze puddle of wax.
B. A bronze wax seal with a clear, raised, and correctly oriented letter 'H'.
C. A bronze wax seal with a mirrored (backwards) letter 'H'.
D. A bronze wax seal with the number '8'.
E. None of the above.
output: answer: B
Domain: DIY / wax_seal_process

turn: 1
modality: image
input: Generate a close-up of the metal stamp head for a wax seal. The bottom face of the stamp head should be engraved with the letter 'W'.
output: evaluation_points: 1. The stamp face clearly shows the letter 'W'.

2. The letter is mirrored (reversed), consistent with seal logic.

3. The metal texture is clearly depicted.

turn: 2
modality: image
input: Generate a scene of a wax seal spoon being heated over a candle flame. The spoon contains violet-colored wax seal pellets that are melting into liquid.
output: evaluation_points: 1. The wax in the spoon is shown in a molten, liquid state.

2. The wax color is violet.

3. There is a candle flame heating the spoon from below.

turn: 3
modality: image
input: Generate the back of an envelope. A pool of molten wax has just been dripped onto the seal flap but has not yet been stamped.
output: evaluation_points: 1. There is a pool of liquid wax on the envelope's seal flap.

2. The wax surface is smooth, with no pattern.

3. The wax color is violet.

turn: 4
modality: image
input: Based on the previous image, generate the final result after pressing the stamp from Turn 1 onto the wax and then lifting it away.
output: evaluation_points: 1. The wax now shows a clear, three-dimensional raised pattern.

2. The pattern is the letter 'W' and must be oriented correctly (not mirrored).

The background (e.g., envelope) and unrelated elements are consistent with the Turn 3 output image.

The image is clearly a modification of the Turn 3 output image (featuring the envelope and the wax pool), not a completely new generation.
Domain: DIY / wax_seal_process

turn: 1
modality: image
input: Generate a close-up of the metal stamp head for a wax seal. The bottom surface of the head should be engraved with the letter 'O'.
output: evaluation_points: 1. The stamp face clearly displays the letter 'O'.

2. The letter is shown in a mirrored (reversed) state, consistent with seal logic.

3. The metal texture is clearly depicted.

turn: 2
modality: image
input: Generate a scene of a wax seal spoon being heated over a candle flame. The spoon contains silver-gray wax granules that are melting into a liquid.
output: evaluation_points: 1. The wax in the spoon is shown in a molten, liquid state.

2. The wax color is silver-gray.

3. A candle flame is shown heating the spoon from below.

turn: 3
modality: image
input: Generate the back of an envelope. A puddle of the previously melted wax has just been dripped onto the seal flap, but the stamp has not yet been pressed into it.
output: evaluation_points: 1. There is a puddle of liquid wax on the envelope's seal flap.

2. The wax surface is smooth and has no pattern.

3. The wax color is silver-gray.

turn: 4
modality: image
input: Based on the previous image, generate the final result after pressing the stamp from Turn 1 into the wax and then lifting it away.
output: evaluation_points: 1. The wax now shows a clear, three-dimensional raised pattern.

2. The pattern is the letter 'O' and must be oriented correctly (readable, not mirrored).

The background and unrelated elements (e.g., the envelope) are consistent with the Turn 3 output image (showing the wax puddle on the envelope).

The image is clearly a modification of the Turn 3 output image (showing the wax puddle on the envelope), not a completely new generation.
Domain: DIY / wax_seal_process

turn: 1
modality: image
input: Generate a close-up of a metal seal stamp head. The bottom surface of the head should be engraved with the letter 'S'.
output: evaluation_points: 1. The seal face clearly displays the letter 'S'.

2. The letter is shown in a mirrored (reversed) orientation, consistent with seal logic.

3. The metal texture of the stamp head is clearly depicted.

turn: 2
modality: image
input: Generate a scene of a sealing wax spoon being heated over a candle flame. The spoon contains amber-yellow wax granules that are melting into a liquid.
output: evaluation_points: 1. The wax inside the spoon is shown in a molten, liquid state.

2. The wax color is amber-yellow.

3. A candle flame is depicted below, providing the heat source.

turn: 3
modality: image
input: Generate the back of an envelope. A puddle of molten sealing wax, from the previous step, has just been dripped onto the seal flap but has not yet been stamped.
output: evaluation_points: 1. A puddle of liquid sealing wax is on the envelope's seal flap.

2. The wax surface is smooth and lacks any pattern.

3. The wax color is amber-yellow, consistent with the previous step.

turn: 4
modality: image
input: Based on the previous image, generate the final result after the stamp from Turn 1 has been pressed into the wax and lifted away.
output: evaluation_points: 1. The wax now shows a clear, three-dimensional embossed pattern.

2. The pattern is the letter 'S' and must be oriented correctly (non-mirrored, readable).

The background and other elements of the envelope are consistent with the Turn 3 output image.

The image should appear to be a modification of the Turn 3 output image, not a completely new generation.
Domain: Damage_Repair / disaster_analysis

turn: 1
modality: text
input: text: Observe the input image. Which of the following options correctly describes the features of the wreckage and the environment in the picture? A. A car is submerged in floodwater on a highway, with debris floating around. B. A building has collapsed due to an earthquake, with cracks on the ground. C. A tree has been uprooted by a tornado, lying across a road. D. A white car is engulfed in flames on a road, with thick black smoke rising and a stream of water being sprayed at it. E. None of the above.
output: answer: D

turn: 2
modality: text
input: Based on the above features, what type of natural disaster caused the damage to this scene? A. Flood B. Earthquake C. Tornado D. Fire E. None of the above.
output: answer: D

turn: 3
modality: image
input: Based on the input image, apply the 'time reversal' logic to generate the original, peaceful, and intact scene before the disaster occurred.
output: evaluation_points: All traces of the disaster (flames, thick black smoke, water spray) are completely removed from the scene.

The damaged white car is restored to an upright, intact state (no fire damage, windows intact).

The terrain and background elements (road, surrounding trees) remain consistent with the Turn 1 input image.

The restored image is clearly modified from the Turn 1 input image, not a completely new generating.
Domain: Damage_Repair / disaster_analysis

turn: 1
modality: text
input: text: Observe the input image. Which of the following options correctly describes the debris and environmental features in the picture? A. Widespread flooding with submerged fields and damaged roads. B. A large, curved scar on the hillside with cracked and displaced earth, surrounded by intact farmland. C. Collapsed buildings and cracked pavement from an earthquake. D. Twisted trees and debris from a tornado. E. None of the above.
output: answer: B

turn: 2
modality: text
input: Based on the above features, what type of natural disaster caused this scene's destruction? A. Flood B. Earthquake C. Landslide D. Tornado E. None of the above.
output: answer: C

turn: 3
modality: image
input: Please, based on the input image, apply the 'time reversal' logic to generate the original, intact scene before the disaster occurred.
output: evaluation_points: 1. All traces of the disaster (e.g., displaced soil, cracks, debris) are completely removed.

2. Collapsed or damaged structures and objects are restored to their upright, intact state.

The terrain of the scene (e.g., distant mountains, horizon) remains consistent with the Turn 1 input image.

The image clearly shows it is a modification of the Turn 1 input image, not a newly generated one.

turn: 4
modality: text
input: Observe the features of the restored scene in Step_3 and analyze: What is the most likely real-world reason for the disaster described in Step_2 to occur in this scene? A. Steep slopes and heavy rainfall, B. Underground mining activities, C. Strong earthquake shaking, D. Coastal erosion from waves, E. None of the above options are correct.
output: answer: A

turn: 5
modality: text
input: Observing the restored scene in Step_3 and the analysis of the disaster cause in Step_4, what is the most reasonable protective measure to reduce future losses caused by the disaster described in Step_2? A. Install sea walls along the coast, B. Construct retaining walls and improve drainage on slopes, C. Reinforce building foundations against earthquakes, D. Build flood barriers around the area, E. None of the above options are correct.
output: answer: B

turn: 6
modality: image
input: Based on the restored scene from Step_3 and incorporating the protective measures proposed in Step_5, please generate what the scene would look like with reasonable protective measures added.
output: evaluation_points: 1. The scene includes the correct protective measure option from Turn 5 (constructing retaining walls and improving drainage on slopes).

Buildings, roads, terrain, etc., remain consistent with the Turn 3 output image, and the protective measures are naturally integrated into the environment.

The image background and perspective remain consistent with the Turn 3 output image.

The image is clearly a modification based on the Turn 3 output image, not a completely new scene.

5. The layout of the protective measures is reasonable, able to intuitively demonstrate their function or effect, and their placement aligns with the practical application needs and deployment logic of the measure.
Domain: Damage_Repair / disaster_analysis

turn: 1
modality: text
input: text: Observe the input image. Which of the following options correctly describes the debris and environmental features in the picture? 
A. The scene shows widespread debris, including broken wood, metal, and household items, with two houses severely damaged and their roofs partially torn off. 
B. The area is covered in mud and standing water, with intact houses and no visible damage. 
C. There are large piles of snow and ice, with trees covered in frost, and no visible structural damage. 
D. The ground is covered in sand and dust, with a single house completely collapsed. 
E. None of the above.
output: answer: A

turn: 2
modality: text
input: Based on the above features, what type of natural disaster caused the destruction in this scene? 
A. Tornado 
B. Earthquake 
C. Flood 
D. Wildfire 
E. None of the above.
output: answer: A

turn: 3
modality: image
input: Based on the input image, apply the 'time reversal' logic to generate the original, peaceful, and intact scene before the disaster occurred.
output: evaluation_points: Disaster traces (e.g., debris, structural damage) are completely removed from the scene.

Collapsed or damaged buildings and objects are restored to an upright, intact state.

The scene's terrain outline (e.g., distant mountains, horizon) remains consistent with the Turn 1 input image.

The image is clearly modified from the Turn 1 input image, not a completely new generation.
Domain: Damage_Repair / disaster_analysis

turn: 1
modality: text
input: text: Observe the input image. Which of the following options correctly describes the debris and environmental features in the picture? A. A log cabin with a completely collapsed roof, surrounded by standing trees and a muddy field. B. A log cabin with a partially collapsed roof, numerous fallen and snapped trees, and scattered wooden debris on a grassy area. C. A brick house with a broken window, surrounded by waterlogged soil and uprooted trees. D. A log cabin with an intact roof, surrounded by fallen branches and a paved road. E. None of the above.
output: answer: B

turn: 2
modality: text
input: Based on the above features, what type of natural disaster caused the damage to this scene? A. Earthquake B. Flood C. Wildfire D. Tornado E. None of the above.
output: answer: D

turn: 3
modality: image
input: Please use the input image and apply the 'time rewind' logic to generate the original, peaceful, and intact scene before the disaster occurred.
output: evaluation_points: All traces of the disaster (e.g., fallen and snapped trees, scattered wooden debris, the log cabin's partially collapsed roof) as described in Turn 1's correct option B are completely removed.

The collapsed or damaged structures (e.g., the log cabin's roof) are restored to their original, intact state, consistent with the 'log cabin' described in Turn 1.

The terrain's overall outline (e.g., distant trees, horizon) remains consistent with the Turn 1 input image.

The restored image is clearly modified from the Turn 1 input image, not a completely new generation.
Domain: Damage_Repair / disaster_analysis

turn: 1
modality: text
input: text: Observe the input image. Which of the following options correctly describes the debris and environmental features in the image? A. The area is flooded with murky water, submerged buildings, and mud-covered debris. B. The scene shows intense flames consuming fallen logs, thick orange smoke filling the air, and charred tree trunks standing amidst the destruction. C. The ground is cracked with deep fissures, and buildings are collapsed into rubble. D. Uprooted trees and shredded vegetation are scattered across the landscape, with strong winds visible. E. None of the above.
output: answer: B

turn: 2
modality: text
input: Based on the above features, what type of natural disaster caused this scene's destruction? A. Wildfire B. Flood C. Earthquake D. Hurricane E. None of the above.
output: answer: A

turn: 3
modality: image
input: Please use the 'time rewind' logic to generate the original, undamaged scene of this location before the disaster occurred, based on the input image.
output: evaluation_points: All traces of the disaster (intense flames, thick orange smoke, charred tree trunks) are completely removed from the image.

Damaged or fallen objects (trees, logs) are restored to their upright, intact state.

The terrain's outline (e.g., distant mountains, horizon) remains consistent with the Turn 1 input image.

The restored image is clearly modified from the Turn 1 input image, not a completely new generating.
Domain: Damage_Repair / item_repair

turn: 1
modality: text
input: text: Please carefully observe the input image of the damaged item. Which of the following options correctly describes the features of this damaged item?
A. The object has a brown, grid-patterned cone with a white, melted substance spilled beside it.
B. The object is a solid, unbroken block of white material with no cone present.
C. The object has a smooth, blue surface with no visible damage.
D. The object is a broken piece of wood with splinters around it.
E. None of the above.
output: answer: A

turn: 2
modality: text
input: Based on the damage pattern of the item in the image, what is the most likely cause of this destruction?
A. The ice cream melted due to exposure to warm temperatures.
B. The ice cream was crushed by a heavy object.
C. The ice cream was cut with a knife.
D. The ice cream was burned by fire.
E. None of the above.
output: answer: A

turn: 3
modality: text
input: Despite the damage, infer what the item was before it was destroyed.
A. An ice cream cone.
B. A waffle bowl.
C. A chocolate bar.
D. A piece of bread.
E. None of the above.
output: answer: A

turn: 4
modality: image
input: Please generate the intact appearance of this item before it was damaged by the external force described in Turn 2.
output: evaluation_points: The item's physical structure is fully restored with no damage traces (e.g., the ice cream is intact on top of the cone, no spilled or melted portions).

The restored item's material texture, pattern, and color match the features described in Turn 1's correct option A: a brown, grid-patterned cone with a white substance (ice cream). The ice cream should be intact, with no spilled or melted portions.

The background, lighting, and irrelevant elements are consistent with the Turn 1 input image (e.g., the dark surface and blurred background remain unchanged).
Domain: Damage_Repair / item_repair

turn: 1
modality: text
input: text: Carefully observe the input image of the damaged item. Which of the following options correctly describes the features of this damaged item? A. It is a black object with a red eraser that has been crushed into powder. B. It is a yellow object with a green eraser that has been cleanly broken into two pieces. C. It is a yellow object with a green eraser that has been melted into a puddle. D. It is a yellow object with a green eraser that has been scratched with a knife. E. None of the above.
output: answer: B

turn: 2
modality: text
input: Based on the damage pattern of the item in the image, what is the most likely cause of this destruction? A. It was burned with a flame. B. It was cut with scissors. C. It was bent until it snapped. D. It was crushed under a heavy weight. E. None of the above.
output: answer: C

turn: 3
modality: text
input: Despite the damage, infer what the item was before it was destroyed based on the remaining features. What was this item originally? A. A pencil. B. A pen. C. A crayon. D. A marker. E. None of the above.
output: answer: A

turn: 4
modality: image
input: Based on the input image of the damaged item, generate what the item looked like before it was damaged by the force described in Turn 2, in its original, undamaged state.
output: evaluation_points: The item is fully intact with no damage, and its material (yellow wood), color, and texture (smooth surface) match the damaged item in the Turn 1 input image. Specifically, the item must be a yellow object with a green eraser, as described by the correct option in Turn 1.

The background, lighting, and overall scene are consistent with the Turn 1 input image.