{ "name": "mamaretrieval", "version": "v0.2.0", "release_date": "2026-05-24", "description": "Per-retriever evaluation of 6 retrievers on 3,185 midwifery / OBGYN queries against the rag-bundle-v0.2.0 corpus, graded by an LLM judge under a 4-dimension rubric (D1 topic, D2 meaningful, D3 actionable, D4 density; score = d1 \u00d7 (d2 + d3 + d4) \u2208 [0..6]).", "scope": "Tier 3: union of top-20 from 6 retrievers \u2014 230,964 judged (q, c) pairs. Top-3 union (Tier 2's scope) is a strict subset, recoverable from rankings.parquet with rank <= 3.", "previous_version": { "version": "v0.1.0", "scope": "Tier 2: union of top-3, 36,418 judged pairs.", "build_commit": "02127e3" }, "judge": { "model": "Qwen/Qwen3.5-397B-A17B-FP8", "prompt_hash": "9d2abdfb76b030ea", "schema_version": "v-88c09262", "prompt_file": "audit/judge_relevance_prompt.txt" }, "query_generator": { "model": "Qwen/Qwen3.6-27B-FP8", "prompt_hash": "1bf02ec4c75c580e", "schema_version": "v-c2419971", "prompt_file": "audit/query_generation_prompt.txt" }, "retrievers": [ { "name": "bm25", "model": "BM25 (lexical baseline)" }, { "name": "medcpt", "model": "ncbi/MedCPT (Query+Article Encoders)" }, { "name": "octen", "model": "Octen/Octen-Embedding-8B" }, { "name": "voyage", "model": "voyage-4-large" }, { "name": "lateon", "model": "lightonai/GTE-ModernColBERT-v1" }, { "name": "gecko", "model": "gecko-1024-quant-v0.2.0 (on-device TFLite)" } ], "top_k": 20, "corpus": { "bundle": "rag-bundle-v0.2.0", "producer_commit": "a1abe003cce742b46954375d17abb28a3e27110f" }, "configs": { "queries": { "rows": 3185 }, "rankings": { "rows": 382200, "depth": 20 }, "judgments": { "rows": 230964 }, "judgments_with_reasoning": { "rows": 230964, "extra_columns": [ "thinking" ] }, "chunks": { "rows": 41298 } } }