eval-harness

metric

llm_parsed

better
neutral: a description
kind
descriptive: says what the output was, never whether it was good
decides
no goal
weighed by
no goal
recorded on
scifact_200

01what it measures, and how

1 when the reranking LLM's reply was a readable ordering. The pipeline always ranks (BM25's order stands when the LLM fails), so this says whether the LLM contributed.

A project explains its own metric at length with METRIC_DESCRIPTIONS = {"llm_parsed": {"summary": "…", "details": "…"}}.

02on scifact_200

gold/scifact_200sf_deepseek_s_n200_v1: 1sf_gemma_l_n200_v1: 1sf_gemma_s_n200_v1: 1sf_llama_m_n200_v1: 1sf_glm_s_bm25first_n200_v1 · pair: 1sf_glm_s_e5first_n200_v1 · pair: 1sf_deepseek_m_n200_v1: 0.995sf_glm_m_n200_v1: 0.995sf_glm_s_n200_v1: 0.995sf_llama_s_n200_v1 · repeats: 0.995sf_gemma_m_n200_v1: 0.99sf_llama_s_n200_v1: 0.98sf_mistral_s_n200_v1: 0.98sf_llama_l_n200_v1: 0.89sf_llama_l_n200_v1 · repeats: 0.865sf_qwen_s_e5first_n200_v1 · pair: 0.78sf_qwen_s_bm25first_n200_v1 · pair: 0.765sf_qwen_s_n200_v1: 0.75sf_qwen_s_n200_v1 · repeats: 0.740.74better · 1

scored against silverscored by a judgewrote the reference it is scored againstscored against a label set, not a reference setunmarked rows are scored against gold