{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"hf-space-dontplantoend--ugi-leaderboard","slug":"dontplantoend--ugi-leaderboard","name":"UGI-Leaderboard","type":"benchmark","url":"https://huggingface.co/spaces/DontPlanToEnd/UGI-Leaderboard","page_url":"https://unfragile.ai/dontplantoend--ugi-leaderboard","categories":["automation"],"tags":["docker","leaderboard","submission:manual","test:private","modality:text","eval:generation","eval:safety","eval:math","language:English","region:us"],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"hf-space-dontplantoend--ugi-leaderboard__cap_0","uri":"capability://data.processing.analysis.multi.model.generation.evaluation.and.ranking","name":"multi-model generation evaluation and ranking","description":"Orchestrates parallel evaluation of text generation outputs from multiple AI models against standardized benchmarks, computing comparative metrics and maintaining a ranked leaderboard. Uses a submission pipeline that accepts model outputs, routes them through evaluation workers (likely containerized via Docker), and aggregates results into a persistent ranking table with historical tracking.","intents":["Compare generation quality across different LLM architectures and providers on the same benchmark","Track model performance improvements over time as new versions are submitted","Identify which models excel at specific task categories (math, safety, general generation)","Establish reproducible baselines for research papers and model releases"],"best_for":["ML researchers benchmarking proprietary or open-source models","Model developers validating improvements before production release","Teams evaluating vendor LLMs (OpenAI, Anthropic, open-source) for deployment decisions"],"limitations":["Manual submission workflow creates evaluation latency — no real-time continuous integration","Private test set prevents external validation of leaderboard integrity","English-only evaluation limits applicability to multilingual model assessment","No public API for programmatic submission — requires manual HuggingFace Spaces interface interaction"],"requires":["HuggingFace account for submission access","Model outputs formatted as text (generation samples or structured predictions)","Docker runtime for containerized evaluation workers (internal infrastructure)"],"input_types":["text (model-generated outputs)","structured metadata (model name, version, provider)"],"output_types":["numeric scores (generation quality metrics)","ranked leaderboard table (JSON or HTML)","comparative analytics (model-vs-model performance deltas)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hf-space-dontplantoend--ugi-leaderboard__cap_1","uri":"capability://safety.moderation.safety.aligned.generation.evaluation","name":"safety-aligned generation evaluation","description":"Evaluates model outputs against safety criteria (likely measuring refusal rates, harmful content generation, jailbreak susceptibility) using private test cases. Integrates safety scoring as a distinct evaluation dimension alongside generation quality and mathematical correctness, enabling safety-aware model comparison.","intents":["Assess which models are most resistant to adversarial prompts and jailbreak attempts","Compare safety alignment across different model families and training approaches","Identify safety regressions when new model versions are submitted","Validate that safety improvements don't degrade general generation capability"],"best_for":["Safety researchers evaluating alignment techniques across models","Teams selecting models for production with safety-critical requirements","Model developers validating RLHF or constitutional AI improvements"],"limitations":["Private test set prevents external auditing of safety evaluation methodology","Single safety score obscures nuanced failure modes (e.g., subtle bias vs explicit refusal)","No breakdown of safety performance by attack category (jailbreak type, harm domain)","English-only evaluation misses cross-lingual safety vulnerabilities"],"requires":["Model capable of text generation (any LLM architecture)","HuggingFace Spaces submission interface access"],"input_types":["text (model responses to safety-testing prompts)"],"output_types":["safety score (numeric, likely 0-100 scale)","pass/fail indicators per safety test case"],"categories":["safety-moderation","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hf-space-dontplantoend--ugi-leaderboard__cap_2","uri":"capability://data.processing.analysis.mathematical.reasoning.evaluation","name":"mathematical reasoning evaluation","description":"Evaluates model performance on mathematical problem-solving tasks (likely including arithmetic, algebra, geometry, or formal reasoning) using private test cases with ground-truth answers. Computes accuracy or correctness metrics and surfaces math-specific performance as a distinct leaderboard dimension.","intents":["Benchmark models on quantitative reasoning to identify which architectures excel at math","Track improvements in mathematical capability as models are updated or retrained","Compare math performance across different model sizes and training data compositions","Validate that instruction-tuning or RLHF doesn't degrade mathematical reasoning"],"best_for":["Researchers studying mathematical reasoning in LLMs","Teams selecting models for STEM applications (tutoring, code generation, scientific computing)","Model developers optimizing for quantitative task performance"],"limitations":["Private test set prevents reproduction and external validation of math evaluation","No visibility into problem difficulty distribution or category breakdown (algebra vs geometry vs formal logic)","Single accuracy metric obscures partial credit or reasoning quality","English-only problem statements limit evaluation of multilingual math reasoning"],"requires":["Model capable of text generation with mathematical reasoning","HuggingFace Spaces submission interface"],"input_types":["text (model-generated mathematical solutions or answers)"],"output_types":["accuracy score (percentage correct)","per-problem correctness indicators"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hf-space-dontplantoend--ugi-leaderboard__cap_3","uri":"capability://data.processing.analysis.leaderboard.ranking.and.historical.tracking","name":"leaderboard ranking and historical tracking","description":"Maintains a persistent, time-indexed ranking of models based on aggregated evaluation scores across multiple dimensions (generation, safety, math). Implements a submission history log that tracks model performance over time, enabling trend analysis and version comparison. Likely uses a database backend (HuggingFace Spaces dataset or external store) to persist rankings and enable sorting/filtering.","intents":["View current top-performing models across all evaluation dimensions","Compare a specific model's performance across multiple submissions or versions","Identify performance trends (improving, degrading, stable) for a model over time","Filter and sort models by specific metrics (e.g., top 10 by safety score)"],"best_for":["Model developers tracking their own submission history and improvements","Researchers identifying state-of-the-art models for a specific task","Teams making model selection decisions based on historical performance stability"],"limitations":["No API for programmatic leaderboard access — requires scraping or manual HuggingFace Spaces interaction","Ranking aggregation method (weighted average, Pareto frontier, etc.) not transparent","No confidence intervals or statistical significance testing for score differences","Historical data retention policy unclear — old submissions may be pruned"],"requires":["HuggingFace Spaces infrastructure (hosting and data persistence)","Web browser for leaderboard viewing"],"input_types":["evaluation scores (numeric, from generation/safety/math evaluators)"],"output_types":["ranked table (HTML/JSON with model names, scores, timestamps)","historical trend data (scores over time per model)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hf-space-dontplantoend--ugi-leaderboard__cap_4","uri":"capability://automation.workflow.containerized.evaluation.worker.orchestration","name":"containerized evaluation worker orchestration","description":"Deploys evaluation logic in Docker containers that process submitted model outputs in parallel, isolating evaluation environments and enabling scalable metric computation. The architecture likely routes submissions to worker pools, collects results, and aggregates them into leaderboard scores. Docker containerization ensures reproducibility and prevents evaluation code drift.","intents":["Scale evaluation throughput by running multiple evaluation workers in parallel","Ensure evaluation reproducibility by pinning dependencies in Docker images","Isolate evaluation environments to prevent cross-contamination between test runs","Update evaluation metrics without recomputing historical submissions"],"best_for":["Benchmark maintainers managing high-volume model submissions","Teams requiring reproducible evaluation across multiple machines or cloud regions","Researchers validating that evaluation code hasn't drifted between benchmark versions"],"limitations":["Docker overhead adds latency (~1-5 seconds per submission) compared to in-process evaluation","No visibility into evaluation worker logs or debugging information for failed submissions","Scaling is limited by HuggingFace Spaces compute resources — no auto-scaling to external cloud","Container image updates require manual rebuild and redeployment"],"requires":["Docker runtime (internal to HuggingFace Spaces infrastructure)","Model outputs in text format compatible with evaluation scripts"],"input_types":["text (model outputs)","evaluation configuration (metrics to compute)"],"output_types":["evaluation scores (numeric)","evaluation logs (for debugging)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hf-space-dontplantoend--ugi-leaderboard__cap_5","uri":"capability://automation.workflow.manual.submission.workflow.and.validation","name":"manual submission workflow and validation","description":"Implements a manual submission interface (likely a HuggingFace Spaces form) where users upload or paste model outputs, specify model metadata (name, version, provider), and trigger evaluation. Includes basic validation (format checking, size limits) before routing to evaluation workers. No automated CI/CD integration — submissions are entirely user-initiated.","intents":["Submit model outputs for evaluation without setting up local evaluation infrastructure","Specify model metadata (name, version, organization) for leaderboard attribution","Receive feedback on submission status (pending, evaluating, completed, failed)","Correct and resubmit if initial submission fails validation"],"best_for":["Individual researchers or small teams without CI/CD infrastructure","Model developers wanting to benchmark without local setup","Non-technical users who want to participate in benchmarking"],"limitations":["Manual workflow creates friction — no batch submission or API for automated pipelines","No integration with model registries (HuggingFace Model Hub, etc.) for automatic output generation","Validation is basic (format/size) — no semantic validation of model outputs","No webhook or notification system for submission status updates"],"requires":["HuggingFace account","Web browser","Model outputs in text format (pre-generated, not generated on-demand)"],"input_types":["text (model outputs, pasted or uploaded)","metadata (model name, version, provider)"],"output_types":["submission confirmation (ID, status)","evaluation results (scores, leaderboard position)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":25,"verified":false,"data_access_risk":"high","permissions":["HuggingFace account for submission access","Model outputs formatted as text (generation samples or structured predictions)","Docker runtime for containerized evaluation workers (internal infrastructure)","Model capable of text generation (any LLM architecture)","HuggingFace Spaces submission interface access","Model capable of text generation with mathematical reasoning","HuggingFace Spaces submission interface","HuggingFace Spaces infrastructure (hosting and data persistence)","Web browser for leaderboard viewing","Docker runtime (internal to HuggingFace Spaces infrastructure)"],"failure_modes":["Manual submission workflow creates evaluation latency — no real-time continuous integration","Private test set prevents external validation of leaderboard integrity","English-only evaluation limits applicability to multilingual model assessment","No public API for programmatic submission — requires manual HuggingFace Spaces interface interaction","Private test set prevents external auditing of safety evaluation methodology","Single safety score obscures nuanced failure modes (e.g., subtle bias vs explicit refusal)","No breakdown of safety performance by attack category (jailbreak type, harm domain)","English-only evaluation misses cross-lingual safety vulnerabilities","Private test set prevents reproduction and external validation of math evaluation","No visibility into problem difficulty distribution or category breakdown (algebra vs geometry vs formal logic)","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.22,"ecosystem":0.5000000000000001,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.35,"ecosystem":0.15,"match_graph":0.2,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:22.766Z","last_scraped_at":"2026-05-03T14:22:48.012Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=dontplantoend--ugi-leaderboard","compare_url":"https://unfragile.ai/compare?artifact=dontplantoend--ugi-leaderboard"}},"signature":"6PKEwSTNZGIvHeqgOfTTxPdBeKGdGiMXqGuiPeGf0LUng7sw8p41StR9z5n8cMAS+5lsk3+Az0RmATTh3jwxAA==","signedAt":"2026-06-20T09:39:41.853Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/dontplantoend--ugi-leaderboard","artifact":"https://unfragile.ai/dontplantoend--ugi-leaderboard","verify":"https://unfragile.ai/api/v1/verify?slug=dontplantoend--ugi-leaderboard","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}