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---
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/llvm-sys.rs
**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
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