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