Download eval_queries.json from Mahrufa/clinical-rag-evaluation-framework: direct link, hf CLI and curl.
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https://huggingface.co/spaces/Mahrufa/clinical-rag-evaluation-framework/resolve/main/eval_queries.json
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8.92 kB
| [ | |
| { | |
| "query": "What is MIMIC-IV?", | |
| "expected_source": "MIMIC-IV.pdf", | |
| "expected_keywords": [ | |
| "electronic health record", | |
| "publicly available", | |
| "clinical data" | |
| ], | |
| "expected_evidence_phrases": [ | |
| "MIMIC-IV, a publicly available database", | |
| "electronic health record dataset", | |
| "sourced from the electronic health record" | |
| ] | |
| }, | |
| { | |
| "query": "What hospital is MIMIC-IV sourced from?", | |
| "expected_source": "MIMIC-IV.pdf", | |
| "expected_keywords": [ | |
| "Beth Israel Deaconess Medical Center", | |
| "BIDMC", | |
| "routine clinical care" | |
| ], | |
| "expected_evidence_phrases": [ | |
| "Beth Israel Deaconess Medical Center", | |
| "BIDMC", | |
| "Data collected at BIDMC" | |
| ] | |
| }, | |
| { | |
| "query": "What years of admissions does MIMIC-IV cover?", | |
| "expected_source": "MIMIC-IV.pdf", | |
| "expected_keywords": [ | |
| "2008", | |
| "2019", | |
| "admissions" | |
| ], | |
| "expected_evidence_phrases": [ | |
| "between 2008–2019", | |
| "between 2008-2019", | |
| "between 2008 and 2019", | |
| "information from 2008" | |
| ] | |
| }, | |
| { | |
| "query": "What are the main creation steps for MIMIC-IV?", | |
| "expected_source": "MIMIC-IV.pdf", | |
| "expected_keywords": [ | |
| "acquisition", | |
| "transformation", | |
| "deidentification" | |
| ], | |
| "expected_evidence_phrases": [ | |
| "three distinct steps", | |
| "acquisition, transformation, and deidentification", | |
| "data acquisition" | |
| ] | |
| }, | |
| { | |
| "query": "How was MIMIC-IV deidentified?", | |
| "expected_source": "MIMIC-IV.pdf", | |
| "expected_keywords": [ | |
| "deidentified", | |
| "HIPAA", | |
| "identifiers" | |
| ], | |
| "expected_evidence_phrases": [ | |
| "remove HIPAA identifiers", | |
| "deidentification pipeline", | |
| "dataset to be considered deidentified" | |
| ] | |
| }, | |
| { | |
| "query": "What does the HIPAA Safe Harbor provision require for deidentification?", | |
| "expected_source": "MIMIC-IV.pdf", | |
| "expected_keywords": [ | |
| "HIPAA", | |
| "Safe Harbor", | |
| "18 identifiers" | |
| ], | |
| "expected_evidence_phrases": [ | |
| "HIPAA Safe Harbor", | |
| "18 identifiers", | |
| "must be removed" | |
| ] | |
| }, | |
| { | |
| "query": "Who can access MIMIC-IV data?", | |
| "expected_source": "MIMIC-IV.pdf", | |
| "expected_keywords": [ | |
| "researchers", | |
| "training", | |
| "data use agreement" | |
| ], | |
| "expected_evidence_phrases": [ | |
| "made available to researchers", | |
| "completed training", | |
| "signed a data use agreement" | |
| ] | |
| }, | |
| { | |
| "query": "What modules are included in MIMIC-IV?", | |
| "expected_source": "MIMIC-IV.pdf", | |
| "expected_keywords": [ | |
| "hosp", | |
| "icu", | |
| "note" | |
| ], | |
| "expected_evidence_phrases": [ | |
| "Modules in MIMIC-IV include hosp, icu, and note", | |
| "include hosp, icu, and note", | |
| "modular structure" | |
| ] | |
| }, | |
| { | |
| "query": "What does the ICU module in MIMIC-IV contain?", | |
| "expected_source": "MIMIC-IV.pdf", | |
| "expected_keywords": [ | |
| "intravenous infusions", | |
| "patient outputs", | |
| "charted observations" | |
| ], | |
| "expected_evidence_phrases": [ | |
| "icu module comprises data", | |
| "intravenous infusions", | |
| "charted observations" | |
| ] | |
| }, | |
| { | |
| "query": "What does the note module in MIMIC-IV contain?", | |
| "expected_source": "MIMIC-IV.pdf", | |
| "expected_keywords": [ | |
| "discharge summaries", | |
| "radiology reports", | |
| "free-text" | |
| ], | |
| "expected_evidence_phrases": [ | |
| "note module comprises", | |
| "discharge summaries", | |
| "radiology reports" | |
| ] | |
| }, | |
| { | |
| "query": "Why is MIMIC-IV useful for clinical research?", | |
| "expected_source": "MIMIC-IV.pdf", | |
| "expected_keywords": [ | |
| "research", | |
| "educational material", | |
| "clinical research" | |
| ], | |
| "expected_evidence_phrases": [ | |
| "support a wide array of research studies", | |
| "educational material", | |
| "reduce barriers" | |
| ] | |
| }, | |
| { | |
| "query": "Why does MIMIC-IV use a modular organization?", | |
| "expected_source": "MIMIC-IV.pdf", | |
| "expected_keywords": [ | |
| "modular", | |
| "linkage", | |
| "modalities" | |
| ], | |
| "expected_evidence_phrases": [ | |
| "modular organization", | |
| "future linkage", | |
| "varying modalities" | |
| ] | |
| }, | |
| { | |
| "query": "What is retrieval augmented generation?", | |
| "expected_source": "retrieval_augmented_generation.pdf", | |
| "expected_keywords": [ | |
| "external databases", | |
| "knowledge-intensive tasks", | |
| "continuous knowledge updates" | |
| ], | |
| "expected_evidence_phrases": [ | |
| "incorporating knowledge from external databases", | |
| "knowledge-intensive tasks", | |
| "continuous knowledge updates" | |
| ] | |
| }, | |
| { | |
| "query": "What problems does RAG address for large language models?", | |
| "expected_source": "retrieval_augmented_generation.pdf", | |
| "expected_keywords": [ | |
| "hallucination", | |
| "outdated knowledge", | |
| "untraceable" | |
| ], | |
| "expected_evidence_phrases": [ | |
| "hallucination", | |
| "outdated knowledge", | |
| "untraceable reasoning" | |
| ] | |
| }, | |
| { | |
| "query": "What are the main components of RAG?", | |
| "expected_source": "retrieval_augmented_generation.pdf", | |
| "expected_keywords": [ | |
| "Retrieval", | |
| "Generation", | |
| "Augmentation" | |
| ], | |
| "expected_evidence_phrases": [ | |
| "core stages", | |
| "Retrieval", | |
| "Generation", | |
| "Augmentation" | |
| ] | |
| }, | |
| { | |
| "query": "What are the three paradigms of RAG research?", | |
| "expected_source": "retrieval_augmented_generation.pdf", | |
| "expected_keywords": [ | |
| "Naive RAG", | |
| "Advanced RAG", | |
| "Modular RAG" | |
| ], | |
| "expected_evidence_phrases": [ | |
| "Naive RAG, Advanced RAG, and Modular RAG", | |
| "three stages", | |
| "three paradigms" | |
| ] | |
| }, | |
| { | |
| "query": "How does the naive RAG process work?", | |
| "expected_source": "retrieval_augmented_generation.pdf", | |
| "expected_keywords": [ | |
| "indexing", | |
| "retrieval", | |
| "generation" | |
| ], | |
| "expected_evidence_phrases": [ | |
| "indexing, retrieval, and generation", | |
| "Retrieve-Read", | |
| "traditional process" | |
| ] | |
| }, | |
| { | |
| "query": "How are documents stored for retrieval in RAG?", | |
| "expected_source": "retrieval_augmented_generation.pdf", | |
| "expected_keywords": [ | |
| "chunks", | |
| "vectors", | |
| "vector database" | |
| ], | |
| "expected_evidence_phrases": [ | |
| "split into chunks", | |
| "encoded into vectors", | |
| "stored in a vector database" | |
| ] | |
| }, | |
| { | |
| "query": "What happens during the retrieval step in RAG?", | |
| "expected_source": "retrieval_augmented_generation.pdf", | |
| "expected_keywords": [ | |
| "query", | |
| "chunks", | |
| "semantic similarity" | |
| ], | |
| "expected_evidence_phrases": [ | |
| "Retrieve the Top k chunks", | |
| "relevant to the question", | |
| "semantic similarity" | |
| ] | |
| }, | |
| { | |
| "query": "What is pre-retrieval optimization in advanced RAG?", | |
| "expected_source": "retrieval_augmented_generation.pdf", | |
| "expected_keywords": [ | |
| "pre-retrieval", | |
| "indexing", | |
| "query optimization" | |
| ], | |
| "expected_evidence_phrases": [ | |
| "Pre-retrieval process", | |
| "optimizing the indexing structure", | |
| "query optimization" | |
| ] | |
| }, | |
| { | |
| "query": "What is iterative retrieval in RAG?", | |
| "expected_source": "retrieval_augmented_generation.pdf", | |
| "expected_keywords": [ | |
| "iterative retrieval", | |
| "retrieval", | |
| "generation" | |
| ], | |
| "expected_evidence_phrases": [ | |
| "Iterative retrieval", | |
| "alternating between retrieval and generation", | |
| "multiple retrieval iterations" | |
| ] | |
| }, | |
| { | |
| "query": "What is recursive retrieval in RAG?", | |
| "expected_source": "retrieval_augmented_generation.pdf", | |
| "expected_keywords": [ | |
| "recursive retrieval", | |
| "sub-problems", | |
| "refining" | |
| ], | |
| "expected_evidence_phrases": [ | |
| "Recursive retrieval", | |
| "breaking down the problem", | |
| "sub-problems" | |
| ] | |
| }, | |
| { | |
| "query": "What is adaptive retrieval in RAG?", | |
| "expected_source": "retrieval_augmented_generation.pdf", | |
| "expected_keywords": [ | |
| "adaptive retrieval", | |
| "external knowledge", | |
| "autonomously determine" | |
| ], | |
| "expected_evidence_phrases": [ | |
| "Adaptive retrieval", | |
| "autonomously determine", | |
| "external knowledge retrieval" | |
| ] | |
| }, | |
| { | |
| "query": "What tools or benchmarks are used to evaluate RAG?", | |
| "expected_source": "retrieval_augmented_generation.pdf", | |
| "expected_keywords": [ | |
| "RAGAS", | |
| "ARES", | |
| "TruLens" | |
| ], | |
| "expected_evidence_phrases": [ | |
| "RAGAS", | |
| "ARES", | |
| "TruLens" | |
| ] | |
| }, | |
| { | |
| "query": "What metrics are used for RAG evaluation?", | |
| "expected_source": "retrieval_augmented_generation.pdf", | |
| "expected_keywords": [ | |
| "Accuracy", | |
| "Recall", | |
| "MRR" | |
| ], | |
| "expected_evidence_phrases": [ | |
| "metrics applicable for evaluation", | |
| "Accuracy", | |
| "MRR" | |
| ] | |
| } | |
| ] | |