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README.md
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@@ -87,7 +87,7 @@ This example shows a prompt for the Aesthetics sub-task, which includes detailed
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"prompt": "<image> \n**Visual Aesthetics Analysis Sub-Task (Aesthetics):** \nIn this sub-task, you are asked to assess the aesthetic appeal of the image based on elements such as visual harmony, composition, color, lighting, and emotional impact. Your goal is to provide a descriptive label that captures the overall aesthetic quality of the image, followed by a numerical score that reflects its aesthetic value.\n\nPlease first give a description label for the corresponding image, then predict the scores based on the following rules: \n- (0.0, 3.5, 'very low') \n- (3.5, 5.0, 'low') \n- (5.0, 6.5, 'medium') \n- (6.5, 8.0, 'high') \n- (8.0, 10.1, 'very high') \n\nThe score should be a number with exactly three decimal places (e.g., 7.234). \n\nPlease return only the label and the scores number, nothing else.",
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"score": 4.105
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}
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### 2. SFT Data (`original_cognition.json`)
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* **Filename:** `original_cognition.json`
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"prompt": "<image> \n**Visual Aesthetics Analysis Sub-Task (Aesthetics):** \nIn this sub-task, you are asked to assess the aesthetic appeal of the image based on elements such as visual harmony, composition, color, lighting, and emotional impact. Your goal is to provide a descriptive label that captures the overall aesthetic quality of the image, followed by a numerical score that reflects its aesthetic value.\n\nPlease first give a description label for the corresponding image, then predict the scores based on the following rules: \n- (0.0, 3.5, 'very low') \n- (3.5, 5.0, 'low') \n- (5.0, 6.5, 'medium') \n- (6.5, 8.0, 'high') \n- (8.0, 10.1, 'very high') \n\nThe score should be a number with exactly three decimal places (e.g., 7.234). \n\nPlease return only the label and the scores number, nothing else.",
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"score": 4.105
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}
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```
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### 2. SFT Data (`original_cognition.json`)
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* **Filename:** `original_cognition.json`
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