Domain: Cooking / food_frying_flip

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

2. The tofu's surface texture should match a 'raw' state (e.g., pale 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 heating for some time, the bottom side of the food in contact with the pan has become fully cooked. Now, flip over all the food in the pan. Please generate the scene in the pan immediately after flipping.
output: evaluation_points: 1. All tofu in the pan should now show the side that was just cooked (the former bottom), with clear cooked characteristics (e.g., golden-brown sear).

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

The image should be clearly a modified version of the output image from Turn 1, not a completely new generation.

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

turn: 3
modality: text
input: For the tofu 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 tofu has turned a deep, uniform golden-brown color on the side facing up.
B. The tofu has developed a firm, crispy crust on the side that was in contact with the pan.
C. The tofu has started to release a significant amount of water or steam.
D. The tofu's color has become slightly translucent.
E. None of the above.
output: answer: B

turn: 4
modality: image
input: Based on the previous image, without altering the current cooked state of the original tofu, add a new piece of raw garlic chive segments to the same frying pan to continue heating alongside the original food. Please generate the scene in the pan at this moment.
output: evaluation_points: 1. The original tofu must retain the cooked appearance (e.g., seared crust) it had in the image generated for Turn 2.

The original tofu must retain the cooked appearance (e.g., seared crust) it had in the output image from Turn 2.

3. Both ingredients (tofu and garlic chives) should be present in the pan with a clear spatial relationship.

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

The image should be clearly a modified version 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 ingredients in the pan until both the original tofu and the garlic chive segments are fully cooked. Please generate the scene in the pan at this final stage.
output: evaluation_points: 1. The original tofu should maintain its previously formed cooked appearance.

2. The garlic chive segments should clearly show a cooked state (e.g., slightly wilted, edges may be lightly browned or charred).

3. The cooked appearance of the different ingredients should conform to their respective properties (tofu: seared; chives: wilted/browned), not look identical.

4. The quantity, type, and relative positions of both ingredients should remain consistent with the previous turn, with only their cooked state changed.

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

6. The image should clearly appear to have evolved continuously from the reference images across turns.

turn: 6
modality: text
input: Based on the final image you just drew, compared to cooking only the original tofu, what flavor characteristic is the dish most likely to have gained by adding the garlic chive segments?
Options:
A. A rich, buttery and creamy note.
B. A bright, fresh, and slightly pungent garlicky aroma.
C. A deep, smoky and charred bitterness.
D. A sweet and caramelized onion-like flavor.
E. No significant change.
output: answer: B