Synthetic C Code Mutation Dataset

Synthetic C Code Dataset for Source Code Authorship and Stylometric Analysis This dataset contains a structured collection of synthetically mutated C source code files generated from 20 C programs covering diverse algorithmic domains. The dataset was produced by an automated mutation pipeline developed as part of a bachelor's thesis at the Slovak University of Technology. The pipeline transforms each original C program into 100 semantically equivalent but syntactically distinct variants by applying randomized combinations of AST-level and text-level mutations. The goal of this dataset is to provide a reproducible corpus suitable for empirical research on: - source code authorship identification- programmer stylometry- plagiarism detection and code similarity analysis- machine learning on source code- evaluation of code analysis tools The 20 input programs cover the following algorithmic domains:arduino_simulator, binary_tree, compression, crypto_utils, expression_parser, fractal_generator, graph_alg, hash_table, image_processing, linked_list, matrix, network_simulator, physics_simulation, process_scheduler, signal_processing, sorting, stack_queue, strings, terminal_graphics, text_adventure The mutation pipeline applies combinations of the following transformations: AST-level mutations (applied via abstract syntax tree manipulation):- Variable renaming (var_0, var_1, ...)- Function renaming- Commutative expression swapping- Function definition reordering- Dead code insertion- Loop transformation (for <-> while)- Conditional transformation (if <-> switch) Text-level mutations (applied on generated source text):- Indentation style changes- Brace style changes- Identifier case conversion (snake_case <-> camelCase)- Comment stripping, preservation, or format conversion (// <-> /* */)- Removal of braces from single-statement if bodies Each variant is guaranteed to be syntactically valid C code (verified by GCC -fsyntax-only). Each mutation combination applied to a variant is unique within the dataset. The dataset structure is organized as follows: output_variants/ c_files/ id_01/ ... id_100/ <program_name>.c (one file per input program per variant) json_files/ id_01/ ... id_100/ id_XX.json (mutation metadata for each variant) Each JSON metadata file records:- variant id- list of mutations applied- mutation count The dataset contains:- 20 original C programs- 100 variants per program- 2000 total generated C files- 100 JSON metadata files All generated files compile without errors under GCC. The dataset is intended for research and educational use.