Domain: Cooking / food_frying_flip

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

2. The lamb chop's surface texture matches a 'raw' state (vibrant 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 side of the food touching the pan is now fully cooked. Flip all the food in the pan. Generate the scene in the pan immediately after flipping.
output: evaluation_points: 1. The lamb chop now shows its previously cooked side (the original bottom), with clear cooked-food characteristics (e.g., browning, sear marks).

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

3. The image is clearly a modification of the reference image, 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 is the correct visual indicator to judge if it is cooked?
Options:
A. The meat has turned from red to a pale pink color.
B. The surface is dry and has developed a golden-brown crust with visible sear marks.
C. The bone has changed color to a darker shade.
D. The fat has completely rendered out and disappeared.
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 food, add a new, raw ingredient—cumin seeds—to the same frying pan. Continue heating both items together. Generate the scene in the pan at this moment.
output: evaluation_points: 1. The lamb chop should maintain the cooked appearance (e.g., browned surface) it had in the image from turn 2.

2. The newly added cumin seeds should clearly appear in a raw state (dry, whole, un-toasted).

3. Both ingredients exist together in the pan, with a clear spatial relationship.

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

5. The image is clearly a modification of the turn 2 reference image, 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 ingredient and the cumin seeds are fully cooked. Generate the scene in the pan at this point.
output: evaluation_points: 1. The lamb chop maintains its previously established cooked appearance.

2. The cumin seeds clearly show a toasted/cooked state (darker color, possibly slightly oily sheen).

3. The cooked appearance of the different ingredients should match their respective properties (e.g., browned meat vs. toasted seeds), not be identical.

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

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

6. The image should clearly appear to have evolved continuously 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 dish most likely to have gained by adding cumin seeds?
Options:
A. A pronounced earthy and nutty aroma.
B. A sharp, vinegary acidity.
C. A deep, caramelized sweetness.
D. A briny, oceanic saltiness.
E. No significant change.
output: answer: A