Publish Symgliph semantic routing gold Fabric seed

Gold collection root ecb156cfec7ce8c60eb1fda1819b7f9480be392ca58f1160d800a6493d5afe3f; structurally valid and publish-ready. Expert adjudication remains explicitly incomplete.

README.md

@@ -0,0 +1,60 @@
+---
+pretty_name: "Symgliph Semantic Routing Gold — Fabric Seed"
+license: mit
+language:
+- en
+task_categories:
+- text-retrieval
+- question-answering
+tags:
+- semantic-routing
+- tool-retrieval
+- provenance
+- mteb
+configs:
+- config_name: corpus
+  data_files:
+  - split: corpus
+    path: data/corpus.jsonl
+- config_name: queries
+  data_files:
+  - split: test_public
+    path: data/queries/test_public.jsonl
+- config_name: qrels
+  data_files:
+  - split: test_public
+    path: data/qrels/test_public.jsonl
+- config_name: evidence
+  data_files:
+  - split: test_public
+    path: data/evidence/test_public.jsonl
+- config_name: negatives
+  data_files:
+  - split: test_public
+    path: data/negatives/test_public.jsonl
+- config_name: provenance
+  data_files:
+  - split: sources
+    path: data/provenance.jsonl
+---
+
+# Symgliph Semantic Routing Gold — Fabric Seed
+
+Versioned linked tables for blind semantic routing, verified evidence recovery,
+constraint preservation, and token/cost evaluation.
+
+- Schema: `symgliph.semantic-routing-gold/v1`
+- Dataset root: `ecb156cfec7ce8c60eb1fda1819b7f9480be392ca58f1160d800a6493d5afe3f`
+- Collection tier: gold
+- Corpus records: 24
+- Queries: 6
+- Qrels: 6
+- Exact evidence records: 6
+- Hard negatives: 12
+- Publication-ready: true
+- Expert-gold-ready: false
+
+`collection_tier` is an intentional value and preservation designation.
+`publish_ready` covers redistribution metadata and structural validation.
+`gold_ready` independently requires expert review and adjudication.
+See `VALIDATION.json` and `manifest.json` before using or publishing the data.

VALIDATION.json

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+{
+  "schema": "symgliph.semantic-routing-gold/v1",
+  "valid": true,
+  "publish_ready": true,
+  "gold_ready": false,
+  "errors": [],
+  "warnings": [
+    "expert double-review and adjudication are not complete"
+  ]
+}

data/evidence/test_public.jsonl

@@ -0,0 +1,6 @@
+{"schema":"symgliph.semantic-routing-gold/v1","query_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:discovery:0001","artifact_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:prepare_7s_strategy","source_blake3":"dfe709325b06e0312129fc3234c0c5be703373262cc6a8aa87aa41a7c4dcd20f","byte_start":0,"byte_end":2359,"required_constraints":["output is clean Markdown","uses bullets for discrete facts","makes relationships explicit","focuses on stated facts rather than interpretation"],"reference_answer":null,"review_status":"cross_model_validated","split":"test_public"}
+{"schema":"symgliph.semantic-routing-gold/v1","query_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:discovery:0002","artifact_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:t_find_neglected_goals","source_blake3":"d762989d74fef061376b4f3f61e05cf1b95b82871d92361f7d26bafd4d182caf","byte_start":0,"byte_end":788,"required_constraints":["exactly five bullets","each bullet contains sixteen words","uses only basic Markdown","does not use italics or bold"],"reference_answer":null,"review_status":"cross_model_validated","split":"test_public"}
+{"schema":"symgliph.semantic-routing-gold/v1","query_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:discovery:0003","artifact_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:extract_recipe","source_blake3":"fe92a9a23661e04cb79e3b3d5c6300b31d512e395fbfaf66d853080f1ff42cd4","byte_start":0,"byte_end":1064,"required_constraints":["outputs only Markdown","uses bulleted rather than numbered lists","preserves supplied measurements","does not add warnings or notes","does not repeat ingredients"],"reference_answer":null,"review_status":"cross_model_validated","split":"test_public"}
+{"schema":"symgliph.semantic-routing-gold/v1","query_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:discovery:0004","artifact_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:rate_ai_result","source_blake3":"e0bb692c51b34be36d2f6bb93a138dfb3e6c7e6d0f54db187150961f4f2e01be","byte_start":0,"byte_end":5163,"required_constraints":["includes a SCORE section with a rating from 1 to 100","includes a LEVEL section","includes DEDUCTIONS, IMPROVEMENTS, and LEVEL JUSTIFICATIONS sections","improvements and justifications each contain ten fifteen-word bullets","uses plain Markdown without italics or bold"],"reference_answer":null,"review_status":"cross_model_validated","split":"test_public"}
+{"schema":"symgliph.semantic-routing-gold/v1","query_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:discovery:0005","artifact_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:write_micro_essay","source_blake3":"5c14303bdd93b3b99961b3c39bdf36c90286fe6be2767b5b307e224b0b84c5e6","byte_start":0,"byte_end":51636,"required_constraints":["outputs a publish-ready essay","contains no more than 250 words","avoids clichés, jargon, grandiose setup, warnings, and notes","uses a plain conversational voice"],"reference_answer":null,"review_status":"cross_model_validated","split":"test_public"}
+{"schema":"symgliph.semantic-routing-gold/v1","query_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:discovery:0006","artifact_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:extract_core_message","source_blake3":"1c2df678bfb545c5e0f790652a5af4cc158f260c6f1fe85c1eff2a01d1e51aec","byte_start":0,"byte_end":1279,"required_constraints":["outputs exactly one sentence","contains no more than sixteen words","contains only the core message","does not include setup, commentary, questions, or special formatting"],"reference_answer":null,"review_status":"cross_model_validated","split":"test_public"}

data/negatives/test_public.jsonl

@@ -0,0 +1,12 @@
+{"schema":"symgliph.semantic-routing-gold/v1","query_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:discovery:0001","artifact_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:t_find_neglected_goals","mined_rank":3,"mining_provenance":"openai/text-embedding-3-small via symgliph.openrouter-proof/v1","split":"test_public"}
+{"schema":"symgliph.semantic-routing-gold/v1","query_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:discovery:0001","artifact_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:t_red_team_thinking","mined_rank":2,"mining_provenance":"openai/text-embedding-3-small via symgliph.openrouter-proof/v1","split":"test_public"}
+{"schema":"symgliph.semantic-routing-gold/v1","query_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:discovery:0002","artifact_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:extract_insights","mined_rank":3,"mining_provenance":"openai/text-embedding-3-small via symgliph.openrouter-proof/v1","split":"test_public"}
+{"schema":"symgliph.semantic-routing-gold/v1","query_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:discovery:0002","artifact_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:prepare_7s_strategy","mined_rank":2,"mining_provenance":"openai/text-embedding-3-small via symgliph.openrouter-proof/v1","split":"test_public"}
+{"schema":"symgliph.semantic-routing-gold/v1","query_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:discovery:0003","artifact_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:explain_docs","mined_rank":2,"mining_provenance":"openai/text-embedding-3-small via symgliph.openrouter-proof/v1","split":"test_public"}
+{"schema":"symgliph.semantic-routing-gold/v1","query_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:discovery:0003","artifact_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:summarize_lecture","mined_rank":3,"mining_provenance":"openai/text-embedding-3-small via symgliph.openrouter-proof/v1","split":"test_public"}
+{"schema":"symgliph.semantic-routing-gold/v1","query_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:discovery:0004","artifact_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:analyze_paper","mined_rank":2,"mining_provenance":"openai/text-embedding-3-small via symgliph.openrouter-proof/v1","split":"test_public"}
+{"schema":"symgliph.semantic-routing-gold/v1","query_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:discovery:0004","artifact_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:analyze_prose","mined_rank":3,"mining_provenance":"openai/text-embedding-3-small via symgliph.openrouter-proof/v1","split":"test_public"}
+{"schema":"symgliph.semantic-routing-gold/v1","query_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:discovery:0005","artifact_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:analyze_prose","mined_rank":3,"mining_provenance":"openai/text-embedding-3-small via symgliph.openrouter-proof/v1","split":"test_public"}
+{"schema":"symgliph.semantic-routing-gold/v1","query_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:discovery:0005","artifact_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:create_story_explanation","mined_rank":2,"mining_provenance":"openai/text-embedding-3-small via symgliph.openrouter-proof/v1","split":"test_public"}
+{"schema":"symgliph.semantic-routing-gold/v1","query_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:discovery:0006","artifact_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:create_story_explanation","mined_rank":2,"mining_provenance":"openai/text-embedding-3-small via symgliph.openrouter-proof/v1","split":"test_public"}
+{"schema":"symgliph.semantic-routing-gold/v1","query_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:discovery:0006","artifact_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:write_micro_essay","mined_rank":3,"mining_provenance":"openai/text-embedding-3-small via symgliph.openrouter-proof/v1","split":"test_public"}

data/provenance.jsonl

@@ -0,0 +1 @@
+{"schema":"symgliph.semantic-routing-gold/v1","source_id":"danielmiessler/Fabric","source_uri":"https://github.com/danielmiessler/Fabric","source_revision":"befdfeefb2402db706f4b54165b8a47ef2cedbad","source_license":"MIT","license_status":"resolved","transformation":"Deterministic 24-pattern subset with six blind goals, exact source digests, and cross-model-mined negatives."}

data/qrels/test_public.jsonl

@@ -0,0 +1,6 @@
+{"schema":"symgliph.semantic-routing-gold/v1","query_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:discovery:0001","artifact_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:prepare_7s_strategy","relevance":1,"split":"test_public"}
+{"schema":"symgliph.semantic-routing-gold/v1","query_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:discovery:0002","artifact_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:t_find_neglected_goals","relevance":1,"split":"test_public"}
+{"schema":"symgliph.semantic-routing-gold/v1","query_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:discovery:0003","artifact_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:extract_recipe","relevance":1,"split":"test_public"}
+{"schema":"symgliph.semantic-routing-gold/v1","query_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:discovery:0004","artifact_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:rate_ai_result","relevance":1,"split":"test_public"}
+{"schema":"symgliph.semantic-routing-gold/v1","query_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:discovery:0005","artifact_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:write_micro_essay","relevance":1,"split":"test_public"}
+{"schema":"symgliph.semantic-routing-gold/v1","query_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:discovery:0006","artifact_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:extract_core_message","relevance":1,"split":"test_public"}

data/queries/test_public.jsonl

@@ -0,0 +1,6 @@
+{"schema":"symgliph.semantic-routing-gold/v1","query_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:discovery:0001","family_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad","goal":"Create an executive organizational-alignment briefing covering strategy, structure, systems, shared values, leadership style, staff, and skills. Surface gaps between those dimensions and give leaders questions for a working session.","instruction":"Retrieve the single pattern that best satisfies the user's goal.","goal_blake3":"15b90de51ac560e5fe284dabc30bc66af37d52acb27cd7c4f2cedf8239e2aa5b","split":"test_public","language":"en","blind":true,"ambiguity":"single_target","annotation_tier":"cross_model_validated"}
+{"schema":"symgliph.semantic-routing-gold/v1","query_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:discovery:0002","family_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad","goal":"Review a person's stated priorities, recurring activities, and current plans to uncover important objectives they are implicitly ignoring. Explain the evidence for each overlooked objective and suggest concrete next actions.","instruction":"Retrieve the single pattern that best satisfies the user's goal.","goal_blake3":"704c6af21bc6502da70e300ba4203e02543cd79b78e3f6a340c98e6d2c4d5ec7","split":"test_public","language":"en","blind":true,"ambiguity":"single_target","annotation_tier":"cross_model_validated"}
+{"schema":"symgliph.semantic-routing-gold/v1","query_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:discovery:0003","family_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad","goal":"Convert a cooking article or transcript into a usable kitchen reference with the dish name, ingredient quantities, ordered instructions, timing, serving information, and useful substitutions or tips.","instruction":"Retrieve the single pattern that best satisfies the user's goal.","goal_blake3":"36d97f4eb8f91674f0dd758c1183f86eb031de39f4223b077300db69d126abc3","split":"test_public","language":"en","blind":true,"ambiguity":"single_target","annotation_tier":"cross_model_validated"}
+{"schema":"symgliph.semantic-routing-gold/v1","query_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:discovery:0004","family_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad","goal":"Evaluate the quality of an AI or machine-learning work product against what a top human expert would produce. Return a rigorous multidimensional assessment, explicit score, weaknesses, and prioritized improvements.","instruction":"Retrieve the single pattern that best satisfies the user's goal.","goal_blake3":"5bebaee10a4ae7df8f2c5ad86cb89bb83d29c0839548062641704587d33deb28","split":"test_public","language":"en","blind":true,"ambiguity":"single_target","annotation_tier":"cross_model_validated"}
+{"schema":"symgliph.semantic-routing-gold/v1","query_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:discovery:0005","family_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad","goal":"Turn a supplied topic into a publish-ready essay of no more than 250 words in a plain, conversational, Paul Graham-like voice. Avoid clichés, jargon, grandiose setup, warnings, and notes.","instruction":"Retrieve the single pattern that best satisfies the user's goal.","goal_blake3":"b4e7af7ed01a91ad56cda0b0b53295e5dadf4a7404e905357122fade70605b4f","split":"test_public","language":"en","blind":true,"ambiguity":"single_target","annotation_tier":"cross_model_validated"}
+{"schema":"symgliph.semantic-routing-gold/v1","query_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad:discovery:0006","family_id":"fabric:befdfeefb2402db706f4b54165b8a47ef2cedbad","goal":"Reduce a long piece of content to its single essential message, preserving the central claim and the most important supporting idea while removing digressions and repetition.","instruction":"Retrieve the single pattern that best satisfies the user's goal.","goal_blake3":"4bfb80f55c512b77df4de7d6c5f49a7b6bb5a8d60100ec80f137210b7ae8eef5","split":"test_public","language":"en","blind":true,"ambiguity":"single_target","annotation_tier":"cross_model_validated"}

manifest.json

@@ -0,0 +1,13 @@
+{
+  "schema": "symgliph.semantic-routing-gold/v1",
+  "dataset_root": "ecb156cfec7ce8c60eb1fda1819b7f9480be392ca58f1160d800a6493d5afe3f",
+  "collection_tier": "gold",
+  "corpus_records": 24,
+  "query_records": 6,
+  "qrel_records": 6,
+  "evidence_records": 6,
+  "negative_records": 12,
+  "provenance_records": 1,
+  "publish_ready": true,
+  "gold_ready": false
+}