Supastrikas-004/agentic-evaluation-framework

Agentic Evaluation Framework — Hugging Face Space

Upload a CSV/JSON/JSONL file with rows containing:

• —prompt (or instruction)
• —response
• —task (qa, summarization, reasoning, etc.)
• —agent
• —reference (optional — used for accuracy / hallucination checks)

Features:

• —Rule-based scoring (instruction-following, coherence, grammar).
• —Optional LLM-based hallucination detection (ComprehensiveHallucinationDetector) — toggleable in UI.
• —Per-task tabs with:
• —Per-example metrics table
• —Radar (spider) charts comparing agents
• —Horizontal leaderboard (downloadable)
• —Heatmap of metric correlations
• —Exportable CSV report.

Notes:

• —The LLM-judge uses transformer models and may be memory-heavy. Only enable when you have sufficient resources. The app will fall back if model loading fails.
• —No Java dependency: the grammar check uses LanguageToolPublicAPI, so it works on Hugging Face Spaces.