Spaces:
Running
Running
| # Benchmark-First Evaluation System - Implementation Summary | |
| ## Overview | |
| Successfully redesigned the AI evaluation card system from a checkbox-based approach to a **benchmark-first** system based on the evalevalai.com schema structure. This provides a more standardized, quantitative, and reproducible approach to AI model evaluations. | |
| ## What Was Built | |
| ### 1. Core Type System | |
| **File: `lib/benchmark-schema.ts`** | |
| - Complete TypeScript type definitions for the evaluation schema | |
| - Interfaces for: | |
| - `BenchmarkEvaluation`: Main evaluation data structure | |
| - `SourceData`, `SourceMetadata`, `ModelInfo`: Metadata types | |
| - `EvaluationResult`, `MetricConfig`, `ScoreDetails`: Results types | |
| - `ModelEvaluationSummary`: Aggregated model data | |
| - `EvaluationCardData`: UI display format | |
| - Category classification (capabilities vs risks) | |
| - Helper function `inferCategoryFromBenchmark()` for automatic categorization | |
| ### 2. Data Processing Layer | |
| **File: `lib/eval-processing.ts`** | |
| - `groupEvaluationsByModel()`: Groups evaluations by model ID | |
| - `createModelSummary()`: Aggregates evaluations into summaries | |
| - `createEvaluationCard()`: Converts summaries to UI format | |
| - `getCategoryStats()`: Calculates statistics by category | |
| - `loadEvaluations()`: Loads and validates evaluation files | |
| - `processEvaluationsToCards()`: End-to-end processing pipeline | |
| - `formatScore()`: Smart score formatting based on type | |
| - `getBenchmarkDisplayName()`: User-friendly benchmark names | |
| ### 3. UI Components | |
| #### `components/benchmark-evaluation-card.tsx` | |
| Displays model evaluation summaries with: | |
| - Model name, ID, and developer | |
| - Statistics (benchmarks count, evaluations count) | |
| - Capability and risk category counts | |
| - Top 3 scores with tooltips | |
| - Category badges with color coding | |
| - Action menu with view/source/delete options | |
| #### `components/benchmark-detail.tsx` | |
| Comprehensive detail view featuring: | |
| - Model header with metadata | |
| - Overview statistics | |
| - Three-tab interface: | |
| - **All Evaluations**: Grouped by dataset with full details | |
| - **Capabilities**: Category-wise capability scores | |
| - **Risks**: Category-wise risk scores | |
| - Expandable generation configs | |
| - Links to source evaluations | |
| - Confidence intervals and sample sizes | |
| ### 4. Pages | |
| #### `app/benchmarks/page.tsx` | |
| Main listing page with: | |
| - Load and display evaluation cards | |
| - Filter by type (capability/risk) | |
| - Filter by specific category | |
| - Sort by date, name, or benchmark count | |
| - Summary statistics dashboard | |
| - Responsive grid layout | |
| #### `app/benchmark/[id]/page.tsx` | |
| Individual model detail page with: | |
| - Dynamic routing by model ID | |
| - Full evaluation detail view | |
| - Back navigation | |
| - Error handling | |
| ### 5. Sample Data | |
| Three complete evaluation files in `/public/benchmarks/`: | |
| - **kimi-k2-instruct.json**: MMLU-Pro with chain-of-thought (HELM, third-party) | |
| - **gpt-4-turbo.json**: MMLU 5-shot accuracy (OpenAI, first-party) | |
| - **claude-3-sonnet.json**: HellaSwag 10-shot (Anthropic, first-party) | |
| Each includes: | |
| - Complete schema structure | |
| - Source metadata | |
| - Model information | |
| - Evaluation results with scores | |
| - Sample-level results | |
| - Generation configurations | |
| ### 6. Navigation Updates | |
| **File: `components/navigation.tsx`** | |
| - Added "Benchmarks" link to navigation bar | |
| - Uses BarChart3 icon | |
| - Active state handling for /benchmarks and /benchmark/* routes | |
| ### 7. Documentation | |
| **File: `BENCHMARK_SYSTEM.md`** | |
| Comprehensive documentation covering: | |
| - Schema structure overview | |
| - Component descriptions | |
| - Category mappings | |
| - Data format requirements | |
| - Benefits over checkbox system | |
| - Migration path from old format | |
| ## Key Features | |
| ### Automatic Category Inference | |
| The system intelligently categorizes benchmarks: | |
| - **Knowledge**: MMLU, ARC, HellaSwag, WinoGrande | |
| - **Math**: GSM8K, MATH, Minerva | |
| - **Code**: HumanEval, MBPP | |
| - **Vision**: VQA, image benchmarks | |
| - **Reasoning**: BBH | |
| - **Bias/Fairness**: BBQ, bias benchmarks | |
| - **Toxicity**: RealToxicityPrompts | |
| - **Truthfulness**: TruthfulQA | |
| - **Robustness**: Adversarial benchmarks | |
| ### Score Formatting | |
| Intelligent score display based on metric type: | |
| - Binary metrics → "Pass/Fail" | |
| - Percentages (0-1) → "81.9%" | |
| - Other scales → Formatted decimals | |
| ### Metadata Tracking | |
| Each evaluation includes: | |
| - Source organization and type | |
| - Evaluator relationship (first/second/third party) | |
| - Dataset information (samples, version, HF repo) | |
| - Generation configuration | |
| - Confidence intervals | |
| - Links to detailed results | |
| ## Benefits of the New System | |
| 1. **Standardized**: Uses established schema from evalevalai.com | |
| 2. **Quantitative**: Real scores with statistical measures | |
| 3. **Reproducible**: Includes all evaluation parameters | |
| 4. **Traceable**: Links to sources and detailed results | |
| 5. **Transparent**: Shows who evaluated and when | |
| 6. **Comparative**: Easy model comparisons on same benchmarks | |
| 7. **Extensible**: Simple to add new evaluations | |
| ## Usage | |
| ### Adding New Evaluations | |
| 1. Create JSON file following the schema in `lib/benchmark-schema.ts` | |
| 2. Place in `/public/benchmarks/` | |
| 3. System automatically loads and displays | |
| ### Viewing Evaluations | |
| 1. Navigate to `/benchmarks` | |
| 2. Filter and sort as needed | |
| 3. Click card to view full details | |
| ## File Structure | |
| ``` | |
| lib/ | |
| benchmark-schema.ts # Type definitions | |
| eval-processing.ts # Processing utilities | |
| components/ | |
| benchmark-evaluation-card.tsx # Card component | |
| benchmark-detail.tsx # Detail view | |
| navigation.tsx # Updated navigation | |
| app/ | |
| benchmarks/ | |
| page.tsx # Listing page | |
| benchmark/ | |
| [id]/ | |
| page.tsx # Detail page | |
| public/ | |
| benchmarks/ | |
| kimi-k2-instruct.json # Sample data | |
| gpt-4-turbo.json | |
| claude-3-sonnet.json | |
| BENCHMARK_SYSTEM.md # User documentation | |
| ``` | |
| ## Next Steps (Recommendations) | |
| 1. **Data Import**: Create scripts to import from HELM, OpenAI evals, etc. | |
| 2. **Search**: Add full-text search across benchmarks | |
| 3. **Comparison**: Side-by-side model comparison view | |
| 4. **Export**: Export functionality for reports | |
| 5. **API**: Backend API for dynamic data loading | |
| 6. **Caching**: Add caching for loaded evaluations | |
| 7. **Filters**: More advanced filtering (score ranges, dates, etc.) | |
| 8. **Charts**: Visualizations for score distributions | |
| ## Breaking Changes | |
| This is a new system that runs alongside the existing checkbox-based evaluation system. The old system remains untouched to allow for gradual migration or parallel use. | |
| To fully migrate: | |
| 1. Convert existing evaluation data to new schema | |
| 2. Update main `/` route to use new system | |
| 3. Archive or remove old evaluation components | |
| ## Testing | |
| To test the new system: | |
| 1. Navigate to `/benchmarks` | |
| 2. Verify all 3 sample evaluations load | |
| 3. Test filtering by type and category | |
| 4. Test sorting options | |
| 5. Click a card to view details | |
| 6. Verify all tabs work (All, Capabilities, Risks) | |
| 7. Test external links | |
| 8. Test navigation back to listing | |
| All TypeScript errors have been resolved and the system is ready for use. | |