Datasets:
Modalities:
Text
Formats:
json
Languages:
English
Size:
1K - 10K
Tags:
benchmark
llm-evaluation
reasoning
knowledge-representation
open-world-assumption
closed-world-assumption
License:
File size: 2,211 Bytes
8eab1ca | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 | {
"dataset": "closurebench_base.jsonl",
"version": "closurebench-v1",
"num_items": 960,
"num_base_scenarios": 320,
"domains": {
"cloud_deployment": 120,
"hospital_access": 120,
"library_services": 120,
"university_registration": 120,
"finance_controls": 120,
"procurement_review": 120,
"manufacturing_quality": 120,
"robotics_operations": 120
},
"families": {
"entailed_open_conclusion": 96,
"explicit_negative_closed": 96,
"explicit_negative_open": 96,
"closed_missing_with_open_distractor": 96,
"open_missing_with_closed_distractor": 96,
"open_missing_direct": 96,
"entailed_closed_conclusion": 96,
"closed_missing_direct": 96,
"closed_derived_missing_antecedent": 96,
"open_derived_missing_antecedent": 96
},
"subsets": {
"control_entailed": 192,
"control_explicit_negative": 192,
"core_contrastive": 576
},
"splits": {
"dev": 93,
"train": 648,
"test": 219
},
"semantics": {
"owa": 320,
"cwa": 320,
"lcwa": 320
},
"gold_answers": {
"true": 192,
"false": 480,
"unknown": 288
},
"gold_reason_types": {
"entailed_by_fact_or_rule": 192,
"explicit_negative_fact": 192,
"global_closed_world_underivable": 192,
"local_open_world_underivable": 96,
"open_world_underivable": 192,
"local_closed_world_underivable": 96
},
"semantic_switch_patterns": {
"false|false|false": 64,
"true|true|true": 64,
"unknown|false|false": 96,
"unknown|false|unknown": 96
},
"primary_metrics": [
"semantic_switch_accuracy",
"lcwa_closed_scope_accuracy",
"lcwa_open_scope_accuracy",
"cwa_accuracy",
"owa_accuracy"
],
"notes": [
"V3 preserves pilot v1/v2 files and should be treated as the publication candidate.",
"Each base scenario has OWA, CWA, and LCWA variants with identical facts, rules, and target atom.",
"Each item contains natural-language text plus symbolic atoms/rules and a gold reason type.",
"Closure is explicit: closed predicates make unstated and underivable atoms false after rule closure.",
"Controls are retained but marked separately from core contrastive cases."
]
} |