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queries/queries_conversational-ai.jsonl

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+{"id": "conversational-ai_T1_164", "domain": "conversational-ai", "type": "T1_entity", "query": "What is User Preferences?", "ground_truth": ["User Preferences", "CHAT"], "concept_id": 164, "hop_depth": 0}
+{"id": "conversational-ai_T1_29", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Euclidean Distance?", "ground_truth": ["Euclidean Distance", "SEARCH"], "concept_id": 29, "hop_depth": 0}
+{"id": "conversational-ai_T1_7", "domain": "conversational-ai", "type": "T1_entity", "query": "What is String Matching?", "ground_truth": ["String Matching", "FOUND"], "concept_id": 7, "hop_depth": 0}
+{"id": "conversational-ai_T1_190", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Chatbot Dashboard?", "ground_truth": ["Chatbot Dashboard", "EVAL"], "concept_id": 190, "hop_depth": 0}
+{"id": "conversational-ai_T1_71", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Dialog System?", "ground_truth": ["Dialog System", "CHAT"], "concept_id": 71, "hop_depth": 0}
+{"id": "conversational-ai_T1_63", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Vector Store?", "ground_truth": ["Vector Store", "EMBED"], "concept_id": 63, "hop_depth": 0}
+{"id": "conversational-ai_T1_58", "domain": "conversational-ai", "type": "T1_entity", "query": "What is GloVe?", "ground_truth": ["GloVe", "EMBED"], "concept_id": 58, "hop_depth": 0}
+{"id": "conversational-ai_T1_36", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Search Recall?", "ground_truth": ["Search Recall", "METRIC"], "concept_id": 36, "hop_depth": 0}
+{"id": "conversational-ai_T1_189", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Key Performance Indicator?", "ground_truth": ["Key Performance Indicator", "EVAL"], "concept_id": 189, "hop_depth": 0}
+{"id": "conversational-ai_T1_27", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Vector Similarity?", "ground_truth": ["Vector Similarity", "SEARCH"], "concept_id": 27, "hop_depth": 0}
+{"id": "conversational-ai_T1_174", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Data Privacy?", "ground_truth": ["Data Privacy", "SEC"], "concept_id": 174, "hop_depth": 0}
+{"id": "conversational-ai_T1_140", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Corporate Nervous System?", "ground_truth": ["Corporate Nervous System", "GRAPH"], "concept_id": 140, "hop_depth": 0}
+{"id": "conversational-ai_T1_23", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Metadata?", "ground_truth": ["Metadata", "SEARCH"], "concept_id": 23, "hop_depth": 0}
+{"id": "conversational-ai_T1_152", "domain": "conversational-ai", "type": "T1_entity", "query": "What is SQL Query?", "ground_truth": ["SQL Query", "QUERY"], "concept_id": 152, "hop_depth": 0}
+{"id": "conversational-ai_T1_109", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Chat Widget?", "ground_truth": ["Chat Widget", "CHAT"], "concept_id": 109, "hop_depth": 0}
+{"id": "conversational-ai_T1_9", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Grep Command?", "ground_truth": ["Grep Command", "FOUND"], "concept_id": 9, "hop_depth": 0}
+{"id": "conversational-ai_T1_8", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Regular Expressions?", "ground_truth": ["Regular Expressions", "FOUND"], "concept_id": 8, "hop_depth": 0}
+{"id": "conversational-ai_T1_24", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Metadata Tagging?", "ground_truth": ["Metadata Tagging", "SEARCH"], "concept_id": 24, "hop_depth": 0}
+{"id": "conversational-ai_T1_56", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Embedding Model?", "ground_truth": ["Embedding Model", "EMBED"], "concept_id": 56, "hop_depth": 0}
+{"id": "conversational-ai_T1_60", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Sentence Embedding?", "ground_truth": ["Sentence Embedding", "EMBED"], "concept_id": 60, "hop_depth": 0}
+{"id": "conversational-ai_T1_130", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Graph Database?", "ground_truth": ["Graph Database", "GRAPH"], "concept_id": 130, "hop_depth": 0}
+{"id": "conversational-ai_T1_155", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Query Template?", "ground_truth": ["Query Template", "QUERY"], "concept_id": 155, "hop_depth": 0}
+{"id": "conversational-ai_T1_198", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Team Project?", "ground_truth": ["Team Project", "TOOL"], "concept_id": 198, "hop_depth": 0}
+{"id": "conversational-ai_T1_144", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Text Preprocessing?", "ground_truth": ["Text Preprocessing", "NLP"], "concept_id": 144, "hop_depth": 0}
+{"id": "conversational-ai_T1_51", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Byte Pair Encoding?", "ground_truth": ["Byte Pair Encoding", "LLM"], "concept_id": 51, "hop_depth": 0}
+{"id": "conversational-ai_T1_167", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Security?", "ground_truth": ["Security", "SEC"], "concept_id": 167, "hop_depth": 0}
+{"id": "conversational-ai_T1_192", "domain": "conversational-ai", "type": "T1_entity", "query": "What is User Satisfaction?", "ground_truth": ["User Satisfaction", "EVAL"], "concept_id": 192, "hop_depth": 0}
+{"id": "conversational-ai_T1_108", "domain": "conversational-ai", "type": "T1_entity", "query": "What is React Chatbot?", "ground_truth": ["React Chatbot", "CHAT"], "concept_id": 108, "hop_depth": 0}
+{"id": "conversational-ai_T1_57", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Word2Vec?", "ground_truth": ["Word2Vec", "EMBED"], "concept_id": 57, "hop_depth": 0}
+{"id": "conversational-ai_T1_115", "domain": "conversational-ai", "type": "T1_entity", "query": "What is RAG Pattern?", "ground_truth": ["RAG Pattern", "RAG"], "concept_id": 115, "hop_depth": 0}
+{"id": "conversational-ai_T1_151", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Database Query?", "ground_truth": ["Database Query", "QUERY"], "concept_id": 151, "hop_depth": 0}
+{"id": "conversational-ai_T1_72", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Intent Recognition?", "ground_truth": ["Intent Recognition", "CHAT"], "concept_id": 72, "hop_depth": 0}
+{"id": "conversational-ai_T1_2", "domain": "conversational-ai", "type": "T1_entity", "query": "What is AI Timeline?", "ground_truth": ["AI Timeline", "FOUND"], "concept_id": 2, "hop_depth": 0}
+{"id": "conversational-ai_T1_41", "domain": "conversational-ai", "type": "T1_entity", "query": "What is False Positive?", "ground_truth": ["False Positive", "METRIC"], "concept_id": 41, "hop_depth": 0}
+{"id": "conversational-ai_T1_186", "domain": "conversational-ai", "type": "T1_entity", "query": "What is 80/20 Rule?", "ground_truth": ["80/20 Rule", "EVAL"], "concept_id": 186, "hop_depth": 0}
+{"id": "conversational-ai_T1_88", "domain": "conversational-ai", "type": "T1_entity", "query": "What is User Feedback?", "ground_truth": ["User Feedback", "CHAT"], "concept_id": 88, "hop_depth": 0}
+{"id": "conversational-ai_T1_169", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Authorization?", "ground_truth": ["Authorization", "SEC"], "concept_id": 169, "hop_depth": 0}
+{"id": "conversational-ai_T1_40", "domain": "conversational-ai", "type": "T1_entity", "query": "What is True Positive?", "ground_truth": ["True Positive", "METRIC"], "concept_id": 40, "hop_depth": 0}
+{"id": "conversational-ai_T1_182", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Log Analysis?", "ground_truth": ["Log Analysis", "SEC"], "concept_id": 182, "hop_depth": 0}
+{"id": "conversational-ai_T1_87", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Response Latency?", "ground_truth": ["Response Latency", "CHAT"], "concept_id": 87, "hop_depth": 0}
+{"id": "conversational-ai_T1_191", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Acceptance Rate?", "ground_truth": ["Acceptance Rate", "EVAL"], "concept_id": 191, "hop_depth": 0}
+{"id": "conversational-ai_T1_183", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Query Frequency?", "ground_truth": ["Query Frequency", "EVAL"], "concept_id": 183, "hop_depth": 0}
+{"id": "conversational-ai_T1_98", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Conversation Context?", "ground_truth": ["Conversation Context", "CHAT"], "concept_id": 98, "hop_depth": 0}
+{"id": "conversational-ai_T1_25", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Dublin Core?", "ground_truth": ["Dublin Core", "SEARCH"], "concept_id": 25, "hop_depth": 0}
+{"id": "conversational-ai_T1_92", "domain": "conversational-ai", "type": "T1_entity", "query": "What is AI Flywheel?", "ground_truth": ["AI Flywheel", "CHAT"], "concept_id": 92, "hop_depth": 0}
+{"id": "conversational-ai_T1_89", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Feedback Button?", "ground_truth": ["Feedback Button", "CHAT"], "concept_id": 89, "hop_depth": 0}
+{"id": "conversational-ai_T1_68", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Weaviate?", "ground_truth": ["Weaviate", "EMBED"], "concept_id": 68, "hop_depth": 0}
+{"id": "conversational-ai_T1_12", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Inverted Index?", "ground_truth": ["Inverted Index", "SEARCH"], "concept_id": 12, "hop_depth": 0}
+{"id": "conversational-ai_T1_118", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Augmentation Step?", "ground_truth": ["Augmentation Step", "RAG"], "concept_id": 118, "hop_depth": 0}
+{"id": "conversational-ai_T1_138", "domain": "conversational-ai", "type": "T1_entity", "query": "What is Cypher Query Language?", "ground_truth": ["Cypher Query Language", "GRAPH"], "concept_id": 138, "hop_depth": 0}
+{"id": "conversational-ai_T2_33", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Term Frequency?", "ground_truth": ["Keyword Search"], "concept_id": 33, "hop_depth": 1}
+{"id": "conversational-ai_T2_100", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Chatbot Framework?", "ground_truth": ["Chatbot"], "concept_id": 100, "hop_depth": 1}
+{"id": "conversational-ai_T2_22", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Controlled Vocabulary?", "ground_truth": ["Taxonomy"], "concept_id": 22, "hop_depth": 1}
+{"id": "conversational-ai_T2_148", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Part-of-Speech Tagging?", "ground_truth": ["NLP Pipeline"], "concept_id": 148, "hop_depth": 1}
+{"id": "conversational-ai_T2_78", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Entity Linking?", "ground_truth": ["Named Entity Recognition"], "concept_id": 78, "hop_depth": 1}
+{"id": "conversational-ai_T2_168", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Authentication?", "ground_truth": ["Security"], "concept_id": 168, "hop_depth": 1}
+{"id": "conversational-ai_T2_166", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Personalization?", "ground_truth": ["User Profile", "User Preferences"], "concept_id": 166, "hop_depth": 1}
+{"id": "conversational-ai_T2_96", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Message Bubble?", "ground_truth": ["Chat Interface"], "concept_id": 96, "hop_depth": 1}
+{"id": "conversational-ai_T2_155", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Query Template?", "ground_truth": ["SQL Query", "Query Parameter"], "concept_id": 155, "hop_depth": 1}
+{"id": "conversational-ai_T2_51", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Byte Pair Encoding?", "ground_truth": ["Subword Tokenization"], "concept_id": 51, "hop_depth": 1}
+{"id": "conversational-ai_T2_188", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for KPI?", "ground_truth": ["Chatbot Metrics"], "concept_id": 188, "hop_depth": 1}
+{"id": "conversational-ai_T2_19", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Thesaurus?", "ground_truth": ["Synonym Expansion"], "concept_id": 19, "hop_depth": 1}
+{"id": "conversational-ai_T2_13", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Reverse Index?", "ground_truth": ["Inverted Index"], "concept_id": 13, "hop_depth": 1}
+{"id": "conversational-ai_T2_177", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for GDPR?", "ground_truth": ["Data Privacy"], "concept_id": 177, "hop_depth": 1}
+{"id": "conversational-ai_T2_61", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Contextual Embedding?", "ground_truth": ["Sentence Embedding"], "concept_id": 61, "hop_depth": 1}
+{"id": "conversational-ai_T2_77", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Entity Type?", "ground_truth": ["Named Entity Recognition"], "concept_id": 77, "hop_depth": 1}
+{"id": "conversational-ai_T2_198", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Team Project?", "ground_truth": ["Chatbot"], "concept_id": 198, "hop_depth": 1}
+{"id": "conversational-ai_T2_62", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Vector Database?", "ground_truth": ["Embedding Vector"], "concept_id": 62, "hop_depth": 1}
+{"id": "conversational-ai_T2_27", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Vector Similarity?", "ground_truth": ["Embedding Vector"], "concept_id": 27, "hop_depth": 1}
+{"id": "conversational-ai_T2_101", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Rasa?", "ground_truth": ["Chatbot Framework"], "concept_id": 101, "hop_depth": 1}
+{"id": "conversational-ai_T2_74", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Intent Classification?", "ground_truth": ["Intent Modeling"], "concept_id": 74, "hop_depth": 1}
+{"id": "conversational-ai_T2_122", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for System Prompt?", "ground_truth": ["Prompt Engineering"], "concept_id": 122, "hop_depth": 1}
+{"id": "conversational-ai_T2_170", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for User Permission?", "ground_truth": ["Authorization"], "concept_id": 170, "hop_depth": 1}
+{"id": "conversational-ai_T2_97", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Chat History?", "ground_truth": ["Chat Interface"], "concept_id": 97, "hop_depth": 1}
+{"id": "conversational-ai_T2_43", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Query Optimization?", "ground_truth": ["Search Query", "Search Performance"], "concept_id": 43, "hop_depth": 1}
+{"id": "conversational-ai_T2_98", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Conversation Context?", "ground_truth": ["Chat History"], "concept_id": 98, "hop_depth": 1}
+{"id": "conversational-ai_T2_93", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Continuous Improvement?", "ground_truth": ["Feedback Loop"], "concept_id": 93, "hop_depth": 1}
+{"id": "conversational-ai_T2_56", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Embedding Model?", "ground_truth": ["Word Embedding"], "concept_id": 56, "hop_depth": 1}
+{"id": "conversational-ai_T2_71", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Dialog System?", "ground_truth": ["Conversational Agent"], "concept_id": 71, "hop_depth": 1}
+{"id": "conversational-ai_T2_20", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Ontology?", "ground_truth": ["Natural Language Processing", "Knowledge Graph"], "concept_id": 20, "hop_depth": 1}
+{"id": "conversational-ai_T2_163", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for User Profile?", "ground_truth": ["User Context"], "concept_id": 163, "hop_depth": 1}
+{"id": "conversational-ai_T2_45", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Large Language Model?", "ground_truth": ["Artificial Intelligence", "Natural Language Processing"], "concept_id": 45, "hop_depth": 1}
+{"id": "conversational-ai_T2_143", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for NLP Pipeline?", "ground_truth": ["Natural Language Processing"], "concept_id": 143, "hop_depth": 1}
+{"id": "conversational-ai_T2_65", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Approximate Nearest Neighbor?", "ground_truth": ["Vector Index"], "concept_id": 65, "hop_depth": 1}
+{"id": "conversational-ai_T2_176", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Personally Identifiable Info?", "ground_truth": ["PII"], "concept_id": 176, "hop_depth": 1}
+{"id": "conversational-ai_T2_124", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for RAG Limitations?", "ground_truth": ["RAG Pattern"], "concept_id": 124, "hop_depth": 1}
+{"id": "conversational-ai_T2_181", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Logging System?", "ground_truth": ["Log Storage"], "concept_id": 181, "hop_depth": 1}
+{"id": "conversational-ai_T2_72", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Intent Recognition?", "ground_truth": ["Natural Language Processing", "Chatbot"], "concept_id": 72, "hop_depth": 1}
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+{"id": "conversational-ai_T2_59", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for FastText?", "ground_truth": ["Embedding Model"], "concept_id": 59, "hop_depth": 1}
+{"id": "conversational-ai_T2_86", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Response Quality?", "ground_truth": ["Chatbot Response"], "concept_id": 86, "hop_depth": 1}
+{"id": "conversational-ai_T2_16", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Search Query?", "ground_truth": ["Keyword Search"], "concept_id": 16, "hop_depth": 1}
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+{"id": "conversational-ai_T2_10", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Keyword Search?", "ground_truth": ["Text Processing", "Search Index"], "concept_id": 10, "hop_depth": 1}
+{"id": "conversational-ai_T2_83", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for User Intent?", "ground_truth": ["Intent Recognition", "User Query"], "concept_id": 83, "hop_depth": 1}
+{"id": "conversational-ai_T2_107", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Node.js?", "ground_truth": ["JavaScript Library"], "concept_id": 107, "hop_depth": 1}
+{"id": "conversational-ai_T2_172", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for RBAC?", "ground_truth": ["Role-Based Access Control"], "concept_id": 172, "hop_depth": 1}
+{"id": "conversational-ai_T2_18", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Synonym Expansion?", "ground_truth": ["Keyword Search"], "concept_id": 18, "hop_depth": 1}
+{"id": "conversational-ai_T2_57", "domain": "conversational-ai", "type": "T2_dependency", "query": "What are the prerequisites for Word2Vec?", "ground_truth": ["Embedding Model"], "concept_id": 57, "hop_depth": 1}
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+{"id": "conversational-ai_T3_129_134", "domain": "conversational-ai", "type": "T3_path", "query": "What is the prerequisite chain from Knowledge Graph to Subject-Predicate-Object?", "ground_truth": ["Subject-Predicate-Object", "Triple", "Node", "Knowledge Graph"], "concept_id": 134, "hop_depth": 3, "path_ids": [134, 133, 131, 129]}
+{"id": "conversational-ai_T3_110_141", "domain": "conversational-ai", "type": "T3_path", "query": "What is the prerequisite chain from External Knowledge to Organizational Knowledge?", "ground_truth": ["Organizational Knowledge", "Corporate Nervous System", "Knowledge Management", "External Knowledge"], "concept_id": 141, "hop_depth": 3, "path_ids": [141, 140, 142, 110]}
+{"id": "conversational-ai_T3_1_19", "domain": "conversational-ai", "type": "T3_path", "query": "What is the prerequisite chain from Artificial Intelligence to Thesaurus?", "ground_truth": ["Thesaurus", "Synonym Expansion", "Keyword Search", "Text Processing", "Natural Language Processing", "Artificial Intelligence"], "concept_id": 19, "hop_depth": 5, "path_ids": [19, 18, 10, 6, 5, 1]}
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