{"data":{"full_name":"sauravverma78/InterpretableRAGFactCheck","name":"InterpretableRAGFactCheck","description":"A modular, explainable Retrieval-Augmented Generation (RAG) pipeline for automated fact-checking on the FEVER dataset. Includes multi-model evaluation (Mistral, Qwen, GPT), PEFT & DPO fine-tuning, and token-level explainability with Captum, SHAP, and LIME","stars":0.0,"forks":0.0,"language":"Jupyter Notebook","license":"MIT","archived":0.0,"subcategory":"rag-educational-reference","last_pushed_at":"2025-10-13T22:04:34+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":6.0,"adoption_score":0.0,"maturity_score":9.0,"community_score":0.0,"quality_score":15.0,"quality_tier":"experimental","risk_flags":"['no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-09T12:06:33.726251+00:00"}}