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README.md
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@@ -45,3 +45,17 @@ We use [NeMo Curator](https://github.com/NVIDIA/NeMo-Curator) to curate the coll
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3. Quality Filtering:
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4. Heuristic Filtering: Applies rules-based filters to remove low-quality content.
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5. Classifier-Based Filtering: Uses machine learning to classify and filter documents based on quality.
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3. Quality Filtering:
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4. Heuristic Filtering: Applies rules-based filters to remove low-quality content.
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5. Classifier-Based Filtering: Uses machine learning to classify and filter documents based on quality.
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#### Dataset Statistics
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** Content diversity
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
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** Character based metrics
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
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** Token count distribution
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
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** Embedding visualization
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
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