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Fix the typo

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  1. README.md +1 -1
README.md CHANGED
@@ -317,7 +317,7 @@ Existing cybersecurity solutions often rely on proprietary APIs or lack domain a
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  ### Data Processing & Filtering
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  1. **Classifier Training:** A binary classifier based on **ModernBERT-base** was trained on the "Cybersecurity Topic Classification" dataset (sourced from Reddit, StackExchange, and arXiv). It achieved 97.3% accuracy on validation.
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- 2. **Filtering:** This classifier was applied to FineWeb, identifying ~125M cybersecurity-relevant documents (~89.8B tokens).
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  3. **General Knowledge Replay:** To avoid catastrophic forgetting, the cybersecurity data was mixed with FineWeb-Edu samples at a **30% replay ratio**.
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  4. **Deduplication:** Global deduplication was performed using MinHash-LSH (via DataTrove), reducing the corpus size by ~47.9% in tokens.
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  5. **Chunking:** The final dataset comprises the latest 5 chronological chunks from the processed data to manage computational costs.
 
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  ### Data Processing & Filtering
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  1. **Classifier Training:** A binary classifier based on **ModernBERT-base** was trained on the "Cybersecurity Topic Classification" dataset (sourced from Reddit, StackExchange, and arXiv). It achieved 97.3% accuracy on validation.
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+ 2. **Filtering:** This classifier was applied to FineWeb, identifying \~125M cybersecurity-relevant documents (\~89.8B tokens).
321
  3. **General Knowledge Replay:** To avoid catastrophic forgetting, the cybersecurity data was mixed with FineWeb-Edu samples at a **30% replay ratio**.
322
  4. **Deduplication:** Global deduplication was performed using MinHash-LSH (via DataTrove), reducing the corpus size by ~47.9% in tokens.
323
  5. **Chunking:** The final dataset comprises the latest 5 chronological chunks from the processed data to manage computational costs.