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[InCoder](https://huggingface.co/facebook/incoder-6B) was trained on trained on **216 GB** of data from Github and Stackoverflow from 28 programming languages. 52 GB is in Python, 107GB in other programming languages and 57GB is content from Stackoverflow that isn't code. |
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The Github data used the following filtering: |
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- Average line length < 100 |
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- Maximum line length < 3000 |
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- Alphanumeric characters fraction > 0.4 |
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- Remove auto-generated files (keyword search) |
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The second component of the data consists of questions, answers, and comments from StackOverflow, it includes: |
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- all questions that have at least one answer |
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- up to ten answers with a non-negative score (sorted by score) per question |
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- up to five comments per question/answer |
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Exact match deduplication was performed on code files. |
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For more details please refer to this [paper](https://arxiv.org/pdf/2204.05999.pdf). |