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Initial commit: Rust-Analyzer Semantic Analysis Dataset

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- 532,821 total records across 3 processing phases
- 440,096 parsing records (9 Parquet files)
- 43,696 name resolution records (1 Parquet file)
- 49,029 type inference records (1 Parquet file)
- All files under 10MB for Git LFS compatibility
- Generated from rust-analyzer codebase analysis
- Ready for HuggingFace Hub deployment

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README.md ADDED
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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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+
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+ # Rust-Analyzer Semantic Analysis Dataset
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+
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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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+
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+ ## Dataset Overview
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+
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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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+
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+ ### What's Included
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+
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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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+
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+ ### Dataset Statistics
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+
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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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+
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+ ## Dataset Structure
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+
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+ Each record contains:
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+
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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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+
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+ ## Use Cases
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+
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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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+
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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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+
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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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+
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+ ## Data Quality
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+
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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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+
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+ ## Technical Details
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+
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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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+
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+ ## Source
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+
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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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+
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+ **Source Project**: /home/mdupont/2025/06/27/rust-analyzer
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+ **Generated**: August 2025
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+ **Tool**: Custom rust-analyzer semantic extractor
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+
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+ ## Citation
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+
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+ If you use this dataset in your research, please cite:
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+
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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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+
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+ ## License
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+
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+ This dataset is released under the AGPL-3.0 license, consistent with the rust-analyzer project.
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+
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+ ## Acknowledgments
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+
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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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