SigMap Benchmark Suite: 240-Repository Large-Scale AI Context Extraction Dataset
Description
The SigMap Benchmark Suite presents a comprehensive evaluation of AI context extraction across 240 diverse open-source repositories spanning 30+ programming languages. This dataset comprises 1,775 benchmark operations capturing token reduction metrics, execution performance, and code complexity analysis.
Key Features:
• 240 repositories across 30+ languages
• 1,775 benchmark operations (5 modes per repository)
• 50+ metadata fields per repository
• 96.2% average token reduction
• Complete reproducibility package
• 4 data export formats (CSV, JSON, JSONL, SQL)
The dataset enables analysis of language-specific context extraction patterns, monorepo complexity, domain-specific compression characteristics, and AI context optimization strategies.
Complete methodology, reproducibility materials, and scripts are included.
Files
Dataset_Paper.md
Files
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