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README.md
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@@ -134,27 +134,17 @@ print(clean_text) # "Dr. [FIRSTNAME_1] [LASTNAME_1] called from [PHONE_1] about
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| Metric | Score | Description |
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| Semantic Preservation | 10.9% | How well original meaning is preserved |
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| **Average Latency** | **
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###
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| **Medical Records** | 33 | 60.6% | Patient notes, clinical data |
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| **Legal Documents** | 6 | 50.0% | Depositions, contracts |
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| **HR Records** | 11 | 27.3% | Employee data, personnel files |
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| **Research Data** | 4 | 50.0% | Study participants, academic data |
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**Performance Insights:**
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**Excellent at customer service** (100% completeness)
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**Strong general-purpose performance** (75% completeness)
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**Good medical record handling** (60.6% completeness)
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- β οΈ **Challenging with structured HR data** (27.3% completeness)
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## ποΈ Technical Details
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| Metric | Score | Description |
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| **PII Detection Rate** | **100%** | **Perfect detection when PII is present in input** |
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| **Completeness Score** | **67.0%** | **Percentage of texts fully de-identified** |
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| Semantic Preservation | 10.9% | How well original meaning is preserved |
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| **Average Latency** | **484ms** | **Response time performance** |
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### Performance Insights
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**Perfect PII Detection**: 100% detection rate when PII is present in input
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**Strong Completeness**: 67% of texts fully de-identified
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**Fast Inference**: 484ms average response time
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**Unified Performance**: Consistent across all text types and domains
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## ποΈ Technical Details
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