Domain: Cooking / food_frying_flip

turn: 1
modality: image
input: Generate a top-down view of a frying pan. A raw piece of cod fillet has just been placed in the pan.
output: evaluation_points: 1. The image shows a frying pan containing a piece of cod fillet.

2. The cod fillet's surface texture matches a 'raw' state (bright color, no browning or sear marks).

3. The background is simple and clean, focusing attention on the pan and its contents.

turn: 2
modality: image
input: Based on the previous image, after a period of heating, the side of the food in contact with the pan has just become fully cooked. Now, flip all the food in the pan. Generate the scene in the pan immediately after flipping.
output: evaluation_points: 1. All food in the pan now shows the side that was just cooked (the original bottom), with clear cooked-food characteristics (e.g., golden-brown sear).

The background, pan, and unrelated elements are consistent with the output image from Turn 1.

The image is clearly a modification of the output image from Turn 1, not a completely new generation.

4. The type and quantity (or approximate mass) of food in the pan matches the previous image, with only its orientation/state changed.

turn: 3
modality: text
input: For the food in the pan, based on the image you just drew, which of the following should be the correct visual indicator to judge if it is cooked?
Options:
A. The surface is uniformly bright white and glossy.
B. The edges are slightly translucent and soft.
C. The surface in contact with the pan has turned a golden-brown color with visible sear marks.
D. The food has significantly shrunk in size and curled at the edges.
E. None of the above.
output: answer: C

turn: 4
modality: image
input: Based on the previous image, without altering the current cooked state of the original food, add a new raw slice of lemon to the same frying pan. Continue heating both items together. Generate the scene in the pan at this moment.
output: evaluation_points: 1. The cod fillet should maintain the cooked appearance (golden-brown sear) it had in the image generated for Turn 2.

The cod fillet should maintain the cooked appearance (golden-brown sear) it had in the output image from Turn 2.

3. Both food items (cod and lemon) are present in the pan, with a clear spatial relationship between them.

The background, pan, and unrelated elements are consistent with the output image from Turn 1.

The image is clearly a modification of the output image from Turn 2, not a completely new generation.

turn: 5
modality: image
input: Based on the previous image, continue heating the food in the pan until both the original item and the lemon slice are fully cooked. Generate the scene in the pan at this point.
output: evaluation_points: 1. The cod fillet should maintain its already-formed cooked appearance.

2. The lemon slice should clearly show a cooked state appearance (e.g., edges slightly caramelized/browned, possibly less vibrant).

3. The cooked appearance of the different ingredients should match their respective properties (e.g., cod is seared, lemon is lightly caramelized), not look identical.

4. The quantity, type, and relative positions of the two food items remain consistent with the previous turn, with only their cooked state changed.

The background, pan, and unrelated elements are consistent with the output image from Turn 1.

6. The image should clearly appear as a continuous evolution from the reference images.

turn: 6
modality: text
input: Based on the image you just drew, compared to cooking only the original ingredient, what flavor characteristic is the finished dish most likely to have gained from adding the lemon slice?
Options:
A. A deep, savory umami richness.
B. A smoky, charred bitterness.
C. A fresh, bright citrus acidity.
D. A heavy, creamy dairy note.
E. No significant change.
output: answer: C