| # 📦 FreeBSD CVS Archive (C/C++) |
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| ## Dataset Summary |
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| **FreeBSD CVS Archive (C/C++)** is a large-scale dataset of source code extracted from the historical FreeBSD CVS repository. The dataset focuses on **C and C++ source files**, providing structured samples suitable for code modeling, analysis, and benchmarking. |
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| Each sample includes: |
| - the dataset source |
| - commit year |
| - extracted code content |
| - token count (computed using GPT tokenizer) |
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| This dataset is designed for: |
| - code language modeling |
| - software evolution analysis |
| - code understanding and generation |
| - benchmarking LLMs on real-world system code |
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| --- |
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| ## Dataset Structure |
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| Each record follows a simple JSONL format: |
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| ```jsonl |
| { |
| "Source": "freebsd-cvs-archive", |
| "Date": 2003, |
| "Text": "... C/C++ source code ...", |
| "Token_count": 512 |
| } |
| ``` |
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| ## Fields |
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| Source: Name of the dataset |
| Date: Year extracted from CVS revision metadata |
| Text: Raw C/C++ code snippet |
| Token_count: Number of tokens computed using tiktoken (cl100k_base) |
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| ## Source Data |
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| The dataset is derived from: |
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| FreeBSD CVS archive ([historical version control system](https://download.freebsd.org/development/CVS-archive/)) |
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| ## Processing |
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| Processing Pipeline |
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| The dataset was constructed using the following steps: |
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| Parse CVS revision files |
| Extract revision metadata (commit date → year) |
| Extract text blocks (code sections between CVS delimiters) |
| Filter samples (remove empty or short entries) |
| Keep only C/C++ code |
| Compute token counts using tiktoken |
| Split into fixed-size JSONL shards |
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