Update README.md


README.md

@@ -86,4 +86,22 @@ This example shows a prompt for the Aesthetics sub-task, which includes detailed
   "image": "images/Aesthetics/000800.jpg", 
   "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.", 
   "score": 4.105
-}
+}
+
+### 2. SFT Data (`original_cognition.json`)
+
+* **Filename:** `original_cognition.json`
+* **Purpose:** This is the original JSON file used for **Supervised Fine-Tuning (SFT)** on the MLLM. This file contains the data formatted for training the MLLM to output the structured response that includes both the label and the numerical score, thereby aligning its output with human cognitive judgments. This is the source file used to generate the structured `.jsonl` data.
+
+---
+
+## 🧠 Cognitive Dimensions
+
+The benchmark evaluates four distinct subjective properties, each with a specific scale and corresponding labels used in the `prompt`.
+
+| Dimension | Description | Typical Scale | Scoring Buckets |
+| :--- | :--- | :--- | :--- |
+| **Aesthetics** | Assesses visual appeal, harmony, and composition. | 0.0 to 10.0 | Very Low, Low, Medium, High, Very High |
+| **Funniness** | Measures the humorous or amusing quality of an image. | 0.0 to 10.0 | Dull, Mildly Amusing, Amusing, Very Funny, Hilarious |
+| **Emotional Valence** | Captures the emotional tone (positive to negative). | -3.0 to 3.0 (Mapped to 1-10) | Negative, Neutral, Positive, etc. |
+| **Memorability** | Reflects the likelihood of an image being remembered. | 0.0 to 1.0 (Mapped to 1-10) | Easily Forgotten, Noticeable, Unforgettable, etc. |