| --- |
| license: apache-2.0 |
| tags: |
| - code-similarity |
| - parallel-corpus |
| - competitive-programming |
| - code-retrieval |
| - C |
| - Rust |
| pretty_name: C-to-Rust Parallel Semantic Similarity Corpus |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # Dataset Card for C-to-Rust Parallel Semantic Similarity Corpus |
|
|
| ## Dataset Summary |
| The **C-to-Rust Parallel Semantic Similarity Corpus** is a curated dataset consisting of **1,886 aligned, function-level C and Rust code pairs**. It was developed to evaluate cross-language semantic similarity and functional equivalence between a traditional legacy language (C) and a modern memory-safe language (Rust). |
|
|
| The source code snippets are drawn from accepted competitive programming submissions across **Project CodeNet**, **xCodeEval**, and **The Algorithms**. Every pair shares identical algorithmic logic, has been validated to compile under modern environments (GCC C17 and Rust 1.94.0), and is filtered to ensure functional correctness. |
|
|
| ## Dataset Structure |
|
|
| The dataset is distributed as a single JSONL file where each row represents an aligned problem pair. |
|
|
| ### Data Fields |
| * `problem_id` (`string`): A zero-padded sequential identifier spanning `0001` to `1886`. |
| * `problem_description` (`string`): The full natural language problem statement provided by the source platform. |
| * `c_code` (`string`): The normalized, fully functional C implementation. |
| * `rust_code` (`string`): The normalized, fully functional Rust implementation. |
| * `difficulty` (`string`): The alignment difficulty tier assigned to the pair (`easy`, `medium`, or `hard`). |
|
|
| --- |
|
|
| ## Dataset Creation & Curation |
|
|
| ### Filtering and Preprocessing Pipeline |
| 1. **Functional Correctness:** Restricted exclusively to submissions marked as "Accepted" by online judges to guarantee true semantic alignment. |
| 2. **Compilation Validation:** Submissions were strictly compiled locally using GCC (C17 standard) and Rust 1.94.0 to eliminate syntax errors or compiler drift. |
| 3. **Code Normalization:** Dead code, redundant macros, comments, and explicit Rust `#[allow(...)]` attributes were systematically stripped. Code layouts were standardized using `clang-format` and `rustfmt`. |
| 4. **Function Inlining:** Core logic was restricted to a single function block, and all function identifiers were normalized to `solution` to eliminate superficial retrieval shortcuts. |
| 5. **Semantic Diversity:** The final corpus contains a diverse set of unique problems with no overlapping duplicates, providing a clean benchmark for cross-language evaluation. |
|
|
| ### Difficulty Categorization |
| Difficulty tiers were empirically mapped using zero-shot cosine similarity scores from the `SFR-Embedding-Code-400M_R` model. Quantile thresholds at the 25th and 75th percentiles partition the dataset: |
| * **Easy (25%):** Similarity $\ge 0.868$ |
| * **Medium (50%):** Similarity between $0.781$ and $0.868$ |
| * **Hard (25%):** Similarity $< 0.781$ (Representing heavy syntax/paradigm divergence) |
|
|
| --- |
| ## Associated Paper |
|
|
| The complete academic paper detailing the methodology, curation pipeline, and evaluation results for this dataset is available directly within this repository: |
|
|
| * 📄 **Read the Paper:** [`c-rust-parallel-corpus.pdf`](./c-rust-parallel-corpus.pdf) |
|
|
| Please refer to the paper for in-depth insights into the dataset's design choices and baseline benchmarks. |
| --- |
|
|
| ## Citation Information |
|
|
| ```bibtex |
| @proceedings{hejlek2026creating, |
| title={Creating a Parallel C to Rust Corpus for Semantic Similarity Evaluation}, |
| author={Hejlek, Vojtěch}, |
| year={2026}, |
| organization={Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo (ICMC/USP)}, |
| note={Advisor: Alneu de Andrade Lopes, Coadvisor: Leonardo Jesus Almeida} |
| } |
