Update README.md (#2)

- Update README.md (3c2dbb7cac7372e155c058e6124f12392210a07f)


Co-authored-by: fengxuanzhao <[email protected]>

README.md

@@ -36,7 +36,7 @@ The dataset includes the following fields:
 ### 2. Expression Form 
 - **Pronoun Reference**: Contains pronoun references
 - **Negation**: Contains negative expressions
-- **consistency**: Requires consistent elements
+- **Consistency**: Requires consistent elements
 
 ### 3. Element Combination 
 - **Anti-Realism**: Anti-realistic combinations
@@ -44,16 +44,16 @@ The dataset includes the following fields:
 - **Layout & Typography**: Specific layout requirements
 
 ### 4. Entity Description 
-- **attribute** : Attribute descriptions
-- **relation** : Relationship descriptions
+- **Attribute** : Attribute descriptions
+- **Relation** : Relationship descriptions
 - **Action/State** : Action or state descriptions
-- **quantity** : Quantity specifications
+- **Quantity** : Quantity specifications
 
 ## 📁 Files
 
-- `magic_bench_dataset.csv`: Complete dataset with all annotations
-- `magic_bench_chinese.csv`: Chinese prompts with annotations
-- `magic_bench_english.csv`: English prompts with annotations
+- `magic_bench_dataset.csv`: Complete dataset
+- `magic_bench_chinese.csv`: Chinese prompts with labels
+- `magic_bench_english.csv`: English prompts with labels
 
 ## 🚀 Usage
 
@@ -69,11 +69,7 @@ df_cn = pd.read_csv('magic_bench_chinese.csv')
 # Load English version
 df_en = pd.read_csv('magic_bench_english.csv')
 
-# Example: Filter prompts with style requirements
-stylized_prompts = df[df['是否有风格'] == '是']
 
-# Example: Get aesthetic design prompts
-aesthetic_prompts = df[df['应用场景'] == '创意设计']
 ```
 
 ## 📈 Statistics