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Link to public predictions dataset

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  license: apache-2.0
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  datasets:
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  - pangram/editlens_iclr
 
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  base_model: TrustSafeAI/RADAR-Vicuna-7B
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  metrics:
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  - accuracy
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  - **Prototype weight**: 0.3, Neural weight: 0.7
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  - **Training time**: ~6 minutes on CPU
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  ## Limitations
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  - Binary only (human vs AI) — does not distinguish AI-edited from AI-generated
 
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  license: apache-2.0
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  datasets:
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  - pangram/editlens_iclr
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+ - adaptive-classifier/ai-detector-data
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  base_model: TrustSafeAI/RADAR-Vicuna-7B
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  metrics:
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  - accuracy
 
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  - **Prototype weight**: 0.3, Neural weight: 0.7
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  - **Training time**: ~6 minutes on CPU
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+ ## Live Predictions Dataset
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+
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+ Predictions made through the [hosted Space](https://huggingface.co/spaces/adaptive-classifier/ai-detector) are continuously logged to [adaptive-classifier/ai-detector-data](https://huggingface.co/datasets/adaptive-classifier/ai-detector-data) — a public dataset of real-world predictions with optional user feedback (Correct / Incorrect). This dataset grows over time and can be used to track model performance, find failure cases, and drive future retraining.
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  ## Limitations
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  - Binary only (human vs AI) — does not distinguish AI-edited from AI-generated