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results-models-PixArt-XL-2-512x512-50-epochs-2025-05-30_0709.parquet
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prediction
# Image Judging Rubric You are an animator looking at an artists work. Judge the following image on a few different criteria. Be very critical. We are aiming for a movie quality character. ## Valid Values Each of judgements should be one of three values: * "bad" if the image does not match the criteria * "okay" if the image has elements of the criteria, but is not good yes * "good" if the image matches the criteria, but could be better * "perfect" if there is nothing that could be improved about the image ## Criteria Descriptions The criteria in which the image should be graded on are as follows: character: Is the character a 3D Pixar-style white furry ox? task: Is the character performing the task described? objects: Are all the necessary objects in the scene? Is there anything wrong with them? Do they look realistic? expression: Is the character's expression wide open and happy, with a visible spark of joy or engagement, conveying satisfaction in the activity? texture: The fur must show clear texture and depth, with soft lighting that avoids harsh shadows or bright highlights. coloring: The fur must NOT contain any yellow or sepia tones. It should be a shade of white with a tone as if it lives in the arctic or himalayas. background: The entire background must be pure white (#FFFFFF) with no visible gradient, vignette, or objects other than the ones specified in the prompt. ## Return Format Return the judgements in xml format. The xml should contain the criteria name in the tag. An example response looks like this: <reasoning>Your reasoning</reasoning> <character>good</character> <task>bad</task> <objects>bad</objects> <expression>perfect</expression> <texture>perfect</texture> <coloring>good</coloring> <background>perfect</background> Reason through your thoughts step by step before responding. Put your thoughts in the <reasoning></reasoning> tags. ## Inputs Prompt: {prompt} Image: {image}
May 30, 2025, 4:25 PM UTC
May 30, 2025, 4:27 PM UTC
50 rows
19205 tokens$ 0.1338
50 rows processed, 19205 tokens used ($0.1338)
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3 columns, 50 rows