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Update README.md

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  1. README.md +4 -7
README.md CHANGED
@@ -128,7 +128,10 @@ print(clean_text) # "This product is really amazing, no kidding!"
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  | Metric | Score | Description |
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  |--------|-------|-------------|
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- | **Toxicity Reduction** | 0.032 (3.2%) | Average reduction in toxicity scores |
 
 
 
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  | **Semantic to Expected** | 0.471 (47.1%) | Similarity to human expert rewrites |
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  | **Semantic to Original** | 0.625 (62.5%) | How much original meaning is preserved |
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  | **Fluency** | 0.919 (91.9%) | Quality of generated text structure |
@@ -138,15 +141,9 @@ print(clean_text) # "This product is really amazing, no kidding!"
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  ### Dataset Breakdown
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  #### General Toxic Content (1,000 samples)
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- - **Toxicity Reduction**: 3.1%
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  - **Semantic Preservation**: 62.7%
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  - **Fluency**: 91.9%
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- #### High-Toxicity Content (8 samples)
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- - **Toxicity Reduction**: 25.0% ⭐ *Strong performance*
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- - **Semantic Preservation**: 36.6%
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- - **Fluency**: 96.3%
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-
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  ### Comparison with Baselines
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  | Model | Semantic Similarity | Toxicity Reduction | Fluency |
 
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  | Metric | Score | Description |
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  |--------|-------|-------------|
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+ Original Toxicity: 0.051 (5.1%)
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+ • Final Toxicity: 0.020 (2.0%)
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+
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+ | **Toxicity Reduction** | 0.051 (ParaDetox) --> 0.020 | Reduced toxicity scores by more than 50% |
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  | **Semantic to Expected** | 0.471 (47.1%) | Similarity to human expert rewrites |
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  | **Semantic to Original** | 0.625 (62.5%) | How much original meaning is preserved |
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  | **Fluency** | 0.919 (91.9%) | Quality of generated text structure |
 
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  ### Dataset Breakdown
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  #### General Toxic Content (1,000 samples)
 
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  - **Semantic Preservation**: 62.7%
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  - **Fluency**: 91.9%
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  ### Comparison with Baselines
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  | Model | Semantic Similarity | Toxicity Reduction | Fluency |