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: 1,434 Bytes
6546ac3 | 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 | {
"source_dataset": "data/base/full.jsonl",
"dataset": "data/dynamic_dialogue/full.jsonl",
"n_dialogues": 100,
"n_turns": 300,
"turns_per_dialogue": 3,
"seed": 11,
"gold_patterns": {
"unknown|false|false": 50,
"unknown|false|unknown": 50
},
"dialogue_types": {
"persist_after_narrowing": 50,
"reopen": 50
},
"domains": {
"cloud_deployment": 8,
"finance_controls": 15,
"hospital_access": 13,
"library_services": 11,
"manufacturing_quality": 13,
"procurement_review": 12,
"robotics_operations": 15,
"university_registration": 13
},
"families": {
"closed_derived_missing_antecedent": 17,
"closed_missing_direct": 15,
"closed_missing_with_open_distractor": 18,
"open_derived_missing_antecedent": 16,
"open_missing_direct": 18,
"open_missing_with_closed_distractor": 16
},
"turn_update_sequence": [
"SET_COMPLETE_PREDICATES([])",
"ADD_COMPLETE_PREDICATES(vocabulary)",
"REPLACE_COMPLETE_PREDICATES(local_subset)"
],
"primary_metrics": [
"dialogue_all_answer_accuracy",
"revision_accuracy",
"persistence_accuracy",
"dialogue_all_turn_accuracy",
"completeness_addition_accuracy",
"reopening_accuracy",
"narrowing_persistence_accuracy",
"closure_inertia_rate",
"closure_retention_failure_rate",
"changed_flag_accuracy",
"applied_update_accuracy",
"anchoring_error_rate"
]
}
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