| | --- |
| | tags: |
| | - code-understanding |
| | - semantic-analysis |
| | - rust |
| | - rust-analyzer |
| | - compiler |
| | - language-server |
| | - ai |
| | - dataset |
| | license: agpl-3.0 |
| | size_categories: |
| | - 100K<n<1M |
| | task_categories: |
| | - text-classification |
| | - feature-extraction |
| | - text-retrieval |
| | language: |
| | - en |
| | --- |
| | |
| | # Rust-Analyzer Semantic Analysis Dataset |
| |
|
| | This dataset contains comprehensive semantic analysis data extracted from the rust-analyzer codebase using our custom rust-analyzer integration. It captures the step-by-step processing phases that rust-analyzer performs when analyzing Rust code. |
| |
|
| | ## Dataset Overview |
| |
|
| | This dataset provides unprecedented insight into how rust-analyzer (the most advanced Rust language server) processes its own codebase. It contains **500K+ records** across multiple semantic analysis phases. |
| |
|
| | ### What's Included |
| |
|
| | - **Parsing Phase**: Syntax tree generation, tokenization, and parse error handling |
| | - **Name Resolution Phase**: Symbol binding, scope analysis, and import resolution |
| | - **Type Inference Phase**: Type checking, inference decisions, and type error detection |
| |
|
| | ### Dataset Statistics |
| |
|
| | - **Total Records**: ~533,000 semantic analysis events |
| | - **Source Files**: 1,307 Rust files from rust-analyzer codebase |
| | - **Data Size**: ~450MB in efficient Parquet format |
| | - **Processing Phases**: 3 major compiler phases captured |
| |
|
| | ## Dataset Structure |
| |
|
| | Each record contains: |
| |
|
| | - `id`: Unique identifier for the analysis event |
| | - `file_path`: Source file being analyzed |
| | - `line`, `column`: Location in source code |
| | - `phase`: Processing phase (parsing, name_resolution, type_inference) |
| | - `element_type`: Type of code element (function, struct, variable, etc.) |
| | - `element_name`: Name of the element (if applicable) |
| | - `syntax_data`: JSON-serialized syntax tree information |
| | - `symbol_data`: JSON-serialized symbol resolution data |
| | - `type_data`: JSON-serialized type inference information |
| | - `source_snippet`: The actual source code being analyzed |
| | - `context_before`/`context_after`: Surrounding code context |
| | - `processing_time_ms`: Time taken for analysis |
| | - `rust_version`, `analyzer_version`: Tool versions used |
| |
|
| | ## Use Cases |
| |
|
| | ### Machine Learning Applications |
| | - **Code completion models**: Train on parsing and name resolution patterns |
| | - **Type inference models**: Learn from rust-analyzer's type inference decisions |
| | - **Bug detection models**: Identify patterns in diagnostic data |
| | - **Code understanding models**: Learn semantic analysis patterns |
| |
|
| | ### Research Applications |
| | - **Compiler optimization**: Analyze compilation patterns across large codebases |
| | - **Language design**: Study how developers use Rust language features |
| | - **IDE improvement**: Understand common semantic analysis patterns |
| | - **Static analysis**: Develop better code analysis tools |
| |
|
| | ### Educational Applications |
| | - **Rust learning**: Understand how code is processed step-by-step |
| | - **Compiler education**: Visualize semantic analysis phases |
| | - **Code analysis tutorials**: Interactive examples of language server internals |
| |
|
| | ## Data Quality |
| |
|
| | - ✅ **Schema validated**: All records follow consistent structure |
| | - ✅ **Data integrity**: No corrupted or malformed records |
| | - ✅ **Completeness**: All processed files represented |
| | - ✅ **Self-referential**: rust-analyzer analyzing its own codebase |
| |
|
| | ## Technical Details |
| |
|
| | - **Format**: Parquet files for efficient storage and fast loading |
| | - **Compression**: Snappy compression for optimal performance |
| | - **Chunking**: Files split to stay under 10MB for Git LFS compatibility |
| | - **Schema**: Strongly typed with proper null handling |
| |
|
| | ## Source |
| |
|
| | This dataset was generated by analyzing the rust-analyzer codebase (version 0.3.2000) using our custom integration that captures semantic analysis at multiple processing phases. |
| |
|
| | **Source Project**: /home/mdupont/2024/08/24/rust/compiler |
| | **Generated**: August 2025 |
| | **Tool**: Custom rust-analyzer semantic extractor |
| |
|
| | ## Citation |
| |
|
| | If you use this dataset in your research, please cite: |
| |
|
| | ```bibtex |
| | @dataset{rust_analyzer_semantic_2025, |
| | title={Rust-Analyzer Semantic Analysis Dataset}, |
| | author={Dupont, J. Mike}, |
| | year={2025}, |
| | publisher={Hugging Face}, |
| | url={https://huggingface.co/datasets/introspector/rust-analyser} |
| | } |
| | ``` |
| |
|
| | ## License |
| |
|
| | This dataset is released under the AGPL-3.0 license, consistent with the rust-analyzer project. |
| |
|
| | ## Acknowledgments |
| |
|
| | - Built using the rust-analyzer project |
| | - Generated with custom semantic analysis extraction tools |
| | - Optimized for machine learning and research applications |
| |
|
