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- **Swallow Code v0.1 stage 3**: 20B tokens, 24M documents containing Python scripts that are filtered with pylint score.
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- **Swallow Code v0.1 stage 4**: 16B tokens, 21M documents containing Python scripts that are filtered with code comments and literal language detection(English and Japanese).
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## Dataset Schema
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```python
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- **Swallow Code v0.1 stage 3**: 20B tokens, 24M documents containing Python scripts that are filtered with pylint score.
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- **Swallow Code v0.1 stage 4**: 16B tokens, 21M documents containing Python scripts that are filtered with code comments and literal language detection(English and Japanese).
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## Results and Performance
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Llama-3.1-8B Performance after Continual Pretraining on 50B tokens Japanese, English, and Code(= swallow-code-v0.1) datasets.
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## Dataset Schema
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```python
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