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Co-authored-by: Mikhail Evtikhiev <[email protected]>

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  # KStack-full models
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- KStack-full models is a collection of fine-tuned open-source generative text models fine-tuned on KStack dataset.
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  This is a repository for fine-tuned CodeLlama-7b model in the Hugging Face Transformers format.
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  # Model use
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  ```python
 
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  # KStack-full models
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+ KStack-full models is a collection of fine-tuned open-source generative text models fine-tuned on KStack dataset with rule-based filtering.
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  This is a repository for fine-tuned CodeLlama-7b model in the Hugging Face Transformers format.
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+ ## Rule-based filtering
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+ To increase the quality of the dataset and filter out statistical outliers such as homework assignments, we filter out the dataset entries according to the following rules:
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+ * We filter out files which belong to the low-popular repos (the sum of stars and forks is less than 6)
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+ * Next, we filter out files which belong to the repos with less than 5 Kotlin files
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+ * Finally, we remove files which have less than 20 SLOC
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+
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+ We clean the content of the remaining dataset entries according to the following rules:
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+ * We remove all non-ASCII entries
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+ * We remove all package lines such as _package kotlinx.coroutines.channels_
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+ * We remove half of the import lines.
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+
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  # Model use
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  ```python