Add reproducibility dataset artifacts

README.md

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+---
+pretty_name: Luxical Query Expansion Financial/ESG Dataset
+tags:
+- information-retrieval
+- query-expansion
+- finance
+- esg
+- benchmarking
+- reproducibility
+license: mit
+language:
+- en
+size_categories:
+- 100K<n<1M
+---
+
+# Luxical Query Expansion Financial/ESG Dataset (Preliminary)
+
+This dataset package is designed to reproduce the experiments in this repository.
+
+## Included Files
+- `finance_priors_v2.tsv`: Mined term priors from local financial corpus.
+- `queries_eval_finance_esg.json`: 12-query weak-label benchmark set.
+- `quality_benchmark.json`: Policy quality benchmark outputs.
+- `latency_benchmark_combined.json`: Combined-policy latency benchmark.
+- `latency_benchmark_conservative.json`: Conservative-policy latency benchmark.
+- `example_expansions_combined.txt`: Sample expansion outputs.
+
+## Notes
+This is a preliminary research artifact. Weak-label query benchmarks are provided for rapid iteration and should not be treated as a substitute for expert relevance judgments.

example_expansions_combined.txt

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+Policy: combined
+Queries: 4
+---
+Query: adjusted ebitda margin guidance
+  - adjusted ebit                raw=0.8432 sim=0.9984 prior=0.5394 lex=0.9200 final=0.9447 es_boost=4.779 bucket=profitability
+  - adjusted ebitda              raw=0.8936 sim=0.9994 prior=0.4736 lex=0.9200 final=0.9389 es_boost=4.755 bucket=profitability
+  - operating margin             raw=0.7557 sim=0.9915 prior=0.4431 lex=0.9200 final=0.9295 es_boost=4.718 bucket=profitability
+  - margin was                   raw=0.7434 sim=0.9893 prior=0.1249 lex=0.8200 final=0.8859 es_boost=4.544 bucket=profitability
+  - wide margin                  raw=0.7020 sim=0.9766 prior=0.1249 lex=0.9200 final=0.8858 es_boost=4.543 bucket=profitability
+  - operating within             raw=0.6677 sim=0.9558 prior=0.0000 lex=0.9200 final=0.8566 es_boost=4.427 bucket=profitability
+---
+Query: allowance for credit losses
+  - extra credit                 raw=0.7694 sim=0.9958 prior=0.0000 lex=0.9200 final=0.8886 es_boost=4.554 bucket=general
+  - financial losses             raw=0.7616 sim=0.9951 prior=0.0000 lex=0.9200 final=0.8881 es_boost=4.552 bucket=general
+  - full credit                  raw=0.7513 sim=0.9940 prior=0.0000 lex=0.9200 final=0.8872 es_boost=4.549 bucket=general
+  - much credit                  raw=0.7404 sim=0.9926 prior=0.0000 lex=0.9200 final=0.8861 es_boost=4.544 bucket=general
+  - losses were                  raw=0.7365 sim=0.9920 prior=0.0000 lex=0.9200 final=0.8856 es_boost=4.543 bucket=credit_risk
+  - credit where                 raw=0.7312 sim=0.9912 prior=0.0000 lex=0.9200 final=0.8850 es_boost=4.540 bucket=general
+---
+Query: scope 1 scope 2 emissions target
+  - scoped                       raw=0.8347 sim=0.9987 prior=0.0000 lex=1.0000 final=0.8989 es_boost=4.596 bucket=general
+  - full scope                   raw=0.8490 sim=0.9990 prior=0.0000 lex=0.9200 final=0.8912 es_boost=4.565 bucket=general
+  - target specific              raw=0.7333 sim=0.9900 prior=0.0000 lex=0.9200 final=0.8840 es_boost=4.536 bucket=guidance_outlook
+  - target date                  raw=0.7291 sim=0.9891 prior=0.0000 lex=0.9200 final=0.8833 es_boost=4.533 bucket=guidance_outlook
+  - easy target                  raw=0.6936 sim=0.9781 prior=0.0000 lex=0.9200 final=0.8745 es_boost=4.498 bucket=general
+  - target customers             raw=0.6833 sim=0.9733 prior=0.0000 lex=0.9200 final=0.8706 es_boost=4.483 bucket=guidance_outlook
+---
+Query: capital allocation buyback dividend
+  - capital investments          raw=0.6680 sim=0.9572 prior=0.1366 lex=0.9200 final=0.8715 es_boost=4.486 bucket=liquidity_leverage
+  - diluted share                raw=0.6658 sim=0.9555 prior=0.7190 lex=0.9200 final=0.8708 es_boost=4.483 bucket=profitability
+  - capital gain                 raw=0.6934 sim=0.9733 prior=0.0000 lex=0.9200 final=0.8706 es_boost=4.482 bucket=liquidity_leverage
+  - equity loans                 raw=0.6660 sim=0.9557 prior=0.6366 lex=0.9200 final=0.8693 es_boost=4.477 bucket=credit_risk
+  - cash management              raw=0.6823 sim=0.9671 prior=0.0000 lex=0.9200 final=0.8657 es_boost=4.463 bucket=liquidity_leverage
+  - term capital                 raw=0.6723 sim=0.9605 prior=0.0000 lex=0.9200 final=0.8604 es_boost=4.442 bucket=liquidity_leverage
+---

latency_benchmark_combined.json

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+{
+  "policy": "combined",
+  "num_queries": 12,
+  "cold_start_ms": 10472.679375001462,
+  "batch_ms": {
+    "mean": 188.35713339503855,
+    "p50": 184.52537499251775,
+    "p95": 202.6674750028178,
+    "min": 179.7784169903025,
+    "max": 206.5042500034906
+  },
+  "per_query_ms": {
+    "mean": 15.696427782919878,
+    "p50": 15.377114582709813,
+    "p95": 16.888956250234816,
+    "min": 14.981534749191875,
+    "max": 17.208687500290882
+  }
+}

latency_benchmark_conservative.json

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+{
+  "policy": "conservative",
+  "num_queries": 12,
+  "cold_start_ms": 10541.75195802236,
+  "batch_ms": {
+    "mean": 193.0920831975527,
+    "p50": 195.24554099189118,
+    "p95": 195.52931661019102,
+    "min": 188.8506670075003,
+    "max": 195.59312501223758
+  },
+  "per_query_ms": {
+    "mean": 16.091006933129393,
+    "p50": 16.270461749324266,
+    "p95": 16.294109717515916,
+    "min": 15.73755558395836,
+    "max": 16.29942708435313
+  }
+}

quality_benchmark.json

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+{
+  "baseline": {
+    "precision": 0.90625,
+    "hit_rate": 0.9166666666666666,
+    "avg_terms": 7.083333333333333,
+    "bad_top1": 0.16666666666666666
+  },
+  "agreement": {
+    "precision": 0.84375,
+    "hit_rate": 0.9166666666666666,
+    "avg_terms": 6.666666666666667,
+    "bad_top1": 0.25
+  },
+  "intent": {
+    "precision": 0.84375,
+    "hit_rate": 0.9166666666666666,
+    "avg_terms": 7.25,
+    "bad_top1": 0.16666666666666666
+  },
+  "combined": {
+    "precision": 0.8333333333333334,
+    "hit_rate": 0.9166666666666666,
+    "avg_terms": 6.666666666666667,
+    "bad_top1": 0.16666666666666666
+  },
+  "conservative": {
+    "precision": 0.8645833333333334,
+    "hit_rate": 0.9166666666666666,
+    "avg_terms": 3.4166666666666665,
+    "bad_top1": 0.16666666666666666
+  }
+}

queries_eval_finance_esg.json

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+[
+  {"query":"adjusted ebitda margin guidance","positives":["adjusted","ebitda","ebit","margin","guidance","operating","profit"],"negatives":["river","scope"]},
+  {"query":"net interest margin expansion","positives":["interest","margin","net","yield","nim","banking"],"negatives":["river","scope"]},
+  {"query":"allowance for credit losses","positives":["allowance","credit","losses","provision","chargeoff","delinquency"],"negatives":["river","scope"]},
+  {"query":"scope 1 scope 2 emissions target","positives":["scope","emissions","target","climate","carbon","decarbonization"],"negatives":["credit","loan","bank"]},
+  {"query":"sustainability linked bond","positives":["sustainability","linked","bond","green","esg","climate"],"negatives":["credit","loan","bank"]},
+  {"query":"free cash flow conversion","positives":["free","cash","flow","conversion","operating","fcf"],"negatives":["river","scope"]},
+  {"query":"same store sales growth","positives":["same","store","sales","growth","comparable","retail"],"negatives":["river","scope"]},
+  {"query":"capital allocation buyback dividend","positives":["capital","allocation","buyback","dividend","repurchase"],"negatives":["river","scope"]},
+  {"query":"decarbonization roadmap","positives":["decarbonization","roadmap","carbon","emissions","climate"],"negatives":["credit","loan","bank"]},
+  {"query":"material weakness internal controls","positives":["material","weakness","internal","controls","remediation","audit"],"negatives":["river","scope"]},
+  {"query":"working capital headwind","positives":["working","capital","headwind","cash","inventory"],"negatives":["river","scope"]},
+  {"query":"order backlog visibility","positives":["order","backlog","visibility","pipeline","demand"],"negatives":["river","scope"]}
+]