README.md

metadata

license: apache-2.0
language:
  - en
tags:
  - code
  - c
  - cpp
  - pretraining
  - programming
  - tensorflow
  - ffmpeg
  - sqlite
  - vma
  - vulkan
size_categories:
  - 100K<n<1M
pretty_name: Chef

C, C++, and Docs Training Dataset

A massive, multi-format code and documentation corpus built from 30+ major open-source C/C++ repositories (including the Linux kernel, FFmpeg, SQLite, Git, Redis, and Vulkan/FreeType headers).

Dataset Structure

The dataset is processed using a sliding-window text chunking method (350-word chunks with a 50-word overlap) to preserve function boundaries, variable scopes, and multi-line logic blocks while maximizing long-range structural context.

Each record in the JSONL and Parquet shards contains:

• id: Unique identifier for the chunk.
• source: Originating source file path (C_data.txt, Cpp.txt, or text.txt).
• category: Content classification tag (c, cpp, or docs).
• chunk_index: Sequential index within the source file.
• content: Raw text block of source code or documentation.

Corpus Breakdown

• C Source Code (C_data.txt): ~5.5M lines of low-level systems code, headers, and core utilities.
• C++ Source Code (Cpp.txt): ~1.3M lines of modern C++ templates, wrappers, and library implementations.
• Documentation & Text (text.txt): ~8M lines of markdown files, specs, and configuration manuals.

License

Distributed under the Apache-2.0 open-source license.