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@@ -43,67 +43,69 @@
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  {"id": "nvidia-clara_T1_37", "domain": "nvidia-clara", "type": "T1_entity", "query": "What is Holoscan Sdk?", "ground_truth": ["Holoscan Sdk", "SDK"], "concept_id": 37, "hop_depth": 0}
44
  {"id": "nvidia-clara_T1_22", "domain": "nvidia-clara", "type": "T1_entity", "query": "What is Nvidia Flare?", "ground_truth": ["Nvidia Flare", "SDK"], "concept_id": 22, "hop_depth": 0}
45
  {"id": "nvidia-clara_T1_19", "domain": "nvidia-clara", "type": "T1_entity", "query": "What is Monai Toolkit?", "ground_truth": ["Monai Toolkit", "SDK"], "concept_id": 19, "hop_depth": 0}
46
- {"id": "nvidia-clara_T2_38", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Isaac Healthcare?", "ground_truth": ["Cuda X Libraries"], "concept_id": 38, "hop_depth": 1}
47
- {"id": "nvidia-clara_T2_43", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Clinical Data Privacy?", "ground_truth": ["Federated Learning"], "concept_id": 43, "hop_depth": 1}
48
- {"id": "nvidia-clara_T2_12", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Closed Loop Discovery?", "ground_truth": ["Bionemo Agent Toolkit"], "concept_id": 12, "hop_depth": 1}
49
- {"id": "nvidia-clara_T2_33", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Rapids Singlecell?", "ground_truth": ["Cuda X Libraries"], "concept_id": 33, "hop_depth": 1}
50
- {"id": "nvidia-clara_T2_10", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Digital Health Skills?", "ground_truth": ["Agent Skills Framework"], "concept_id": 10, "hop_depth": 1}
51
- {"id": "nvidia-clara_T2_25", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Monai Pretrained Models?", "ground_truth": ["Monai Toolkit"], "concept_id": 25, "hop_depth": 1}
52
- {"id": "nvidia-clara_T2_15", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Variant Calling?", "ground_truth": ["Gatk4 Best Practices"], "concept_id": 15, "hop_depth": 1}
53
- {"id": "nvidia-clara_T2_35", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Dimensionality Reduction Sc?", "ground_truth": ["Rapids Singlecell"], "concept_id": 35, "hop_depth": 1}
54
- {"id": "nvidia-clara_T2_28", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Molecular Docking?", "ground_truth": ["Bionemo Training Framework"], "concept_id": 28, "hop_depth": 1}
55
- {"id": "nvidia-clara_T2_27", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Protein Structure Prediction?", "ground_truth": ["Bionemo Training Framework"], "concept_id": 27, "hop_depth": 1}
56
- {"id": "nvidia-clara_T2_17", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Long Read Sequencing?", "ground_truth": ["Parabricks"], "concept_id": 17, "hop_depth": 1}
57
- {"id": "nvidia-clara_T2_26", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Bionemo Training Framework?", "ground_truth": ["Cuda X Libraries", "Dgx Systems", "Base Command Platform"], "concept_id": 26, "hop_depth": 1}
58
  {"id": "nvidia-clara_T2_11", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Medtech Skills?", "ground_truth": ["Agent Skills Framework"], "concept_id": 11, "hop_depth": 1}
59
  {"id": "nvidia-clara_T2_30", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Generative Protein Design?", "ground_truth": ["Bionemo Training Framework"], "concept_id": 30, "hop_depth": 1}
60
- {"id": "nvidia-clara_T2_7", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Agent Skills Framework?", "ground_truth": ["Bionemo Agent Toolkit"], "concept_id": 7, "hop_depth": 1}
61
- {"id": "nvidia-clara_T2_6", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Bionemo Agent Toolkit?", "ground_truth": ["Cuda X Libraries"], "concept_id": 6, "hop_depth": 1}
62
- {"id": "nvidia-clara_T2_42", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Ambient Healthcare Agents?", "ground_truth": ["Bionemo Agent Toolkit"], "concept_id": 42, "hop_depth": 1}
63
- {"id": "nvidia-clara_T2_44", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Automated Documentation?", "ground_truth": ["Ambient Healthcare Agents"], "concept_id": 44, "hop_depth": 1}
64
- {"id": "nvidia-clara_T2_29", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Generative Chemistry?", "ground_truth": ["Bionemo Training Framework"], "concept_id": 29, "hop_depth": 1}
65
- {"id": "nvidia-clara_T2_37", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Holoscan Sdk?", "ground_truth": ["Cuda X Libraries"], "concept_id": 37, "hop_depth": 1}
66
- {"id": "nvidia-clara_T2_8", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Skill Cards?", "ground_truth": ["Agent Skills Framework"], "concept_id": 8, "hop_depth": 1}
67
- {"id": "nvidia-clara_T2_31", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Protein Binder Design?", "ground_truth": ["Protein Structure Prediction", "Generative Protein Design", "Molecular Docking"], "concept_id": 31, "hop_depth": 1}
68
  {"id": "nvidia-clara_T2_9", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Digital Biology Skills?", "ground_truth": ["Agent Skills Framework"], "concept_id": 9, "hop_depth": 1}
69
  {"id": "nvidia-clara_T2_24", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Clara Viz?", "ground_truth": ["Cuda X Libraries"], "concept_id": 24, "hop_depth": 1}
70
- {"id": "nvidia-clara_T2_16", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Short Read Sequencing?", "ground_truth": ["Parabricks"], "concept_id": 16, "hop_depth": 1}
71
- {"id": "nvidia-clara_T2_40", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Medical Device Streaming?", "ground_truth": ["Holoscan Sdk"], "concept_id": 40, "hop_depth": 1}
72
  {"id": "nvidia-clara_T2_39", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Surgical Robotics Policy?", "ground_truth": ["Isaac Healthcare"], "concept_id": 39, "hop_depth": 1}
73
- {"id": "nvidia-clara_T2_34", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Single Cell Transcriptomics?", "ground_truth": ["Rapids Singlecell"], "concept_id": 34, "hop_depth": 1}
74
- {"id": "nvidia-clara_T2_13", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Parabricks?", "ground_truth": ["Cuda X Libraries"], "concept_id": 13, "hop_depth": 1}
75
- {"id": "nvidia-clara_T2_36", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Gpu Clustering?", "ground_truth": ["Rapids Singlecell"], "concept_id": 36, "hop_depth": 1}
76
- {"id": "nvidia-clara_T2_18", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Gpu Seq Acceleration?", "ground_truth": ["Cuda X Libraries"], "concept_id": 18, "hop_depth": 1}
77
- {"id": "nvidia-clara_T2_41", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Biomedical Aiq Agent?", "ground_truth": ["Bionemo Agent Toolkit"], "concept_id": 41, "hop_depth": 1}
78
  {"id": "nvidia-clara_T2_5", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Base Command Platform?", "ground_truth": ["Dgx Systems"], "concept_id": 5, "hop_depth": 1}
79
- {"id": "nvidia-clara_T2_19", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Monai Toolkit?", "ground_truth": ["Cuda X Libraries", "Nvidia Ngc"], "concept_id": 19, "hop_depth": 1}
80
- {"id": "nvidia-clara_T2_23", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Federated Learning?", "ground_truth": ["Nvidia Flare"], "concept_id": 23, "hop_depth": 1}
 
 
 
 
 
 
 
 
 
81
  {"id": "nvidia-clara_T2_21", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Monai Label?", "ground_truth": ["Monai Core"], "concept_id": 21, "hop_depth": 1}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
82
  {"id": "nvidia-clara_T3_2_25", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Monai Pretrained Models?", "ground_truth": ["Monai Pretrained Models", "Monai Toolkit", "Cuda X Libraries"], "concept_id": 25, "hop_depth": 2, "path_ids": [25, 19, 2]}
83
- {"id": "nvidia-clara_T3_2_41", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Biomedical Aiq Agent?", "ground_truth": ["Biomedical Aiq Agent", "Bionemo Agent Toolkit", "Cuda X Libraries"], "concept_id": 41, "hop_depth": 2, "path_ids": [41, 6, 2]}
84
  {"id": "nvidia-clara_T3_2_40", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Medical Device Streaming?", "ground_truth": ["Medical Device Streaming", "Holoscan Sdk", "Cuda X Libraries"], "concept_id": 40, "hop_depth": 2, "path_ids": [40, 37, 2]}
85
- {"id": "nvidia-clara_T3_2_9", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Digital Biology Skills?", "ground_truth": ["Digital Biology Skills", "Agent Skills Framework", "Bionemo Agent Toolkit", "Cuda X Libraries"], "concept_id": 9, "hop_depth": 3, "path_ids": [9, 7, 6, 2]}
86
- {"id": "nvidia-clara_T3_2_16", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Short Read Sequencing?", "ground_truth": ["Short Read Sequencing", "Parabricks", "Cuda X Libraries"], "concept_id": 16, "hop_depth": 2, "path_ids": [16, 13, 2]}
87
- {"id": "nvidia-clara_T3_2_8", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Skill Cards?", "ground_truth": ["Skill Cards", "Agent Skills Framework", "Bionemo Agent Toolkit", "Cuda X Libraries"], "concept_id": 8, "hop_depth": 3, "path_ids": [8, 7, 6, 2]}
88
- {"id": "nvidia-clara_T3_2_41", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Biomedical Aiq Agent?", "ground_truth": ["Biomedical Aiq Agent", "Bionemo Agent Toolkit", "Cuda X Libraries"], "concept_id": 41, "hop_depth": 2, "path_ids": [41, 6, 2]}
89
- {"id": "nvidia-clara_T3_2_8", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Skill Cards?", "ground_truth": ["Skill Cards", "Agent Skills Framework", "Bionemo Agent Toolkit", "Cuda X Libraries"], "concept_id": 8, "hop_depth": 3, "path_ids": [8, 7, 6, 2]}
90
- {"id": "nvidia-clara_T3_2_8", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Skill Cards?", "ground_truth": ["Skill Cards", "Agent Skills Framework", "Bionemo Agent Toolkit", "Cuda X Libraries"], "concept_id": 8, "hop_depth": 3, "path_ids": [8, 7, 6, 2]}
91
- {"id": "nvidia-clara_T3_3_25", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Nvidia Ngc to Monai Pretrained Models?", "ground_truth": ["Monai Pretrained Models", "Monai Toolkit", "Nvidia Ngc"], "concept_id": 25, "hop_depth": 2, "path_ids": [25, 19, 3]}
92
- {"id": "nvidia-clara_T3_2_12", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Closed Loop Discovery?", "ground_truth": ["Closed Loop Discovery", "Bionemo Agent Toolkit", "Cuda X Libraries"], "concept_id": 12, "hop_depth": 2, "path_ids": [12, 6, 2]}
93
- {"id": "nvidia-clara_T3_2_39", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Surgical Robotics Policy?", "ground_truth": ["Surgical Robotics Policy", "Isaac Healthcare", "Cuda X Libraries"], "concept_id": 39, "hop_depth": 2, "path_ids": [39, 38, 2]}
94
  {"id": "nvidia-clara_T3_2_41", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Biomedical Aiq Agent?", "ground_truth": ["Biomedical Aiq Agent", "Bionemo Agent Toolkit", "Cuda X Libraries"], "concept_id": 41, "hop_depth": 2, "path_ids": [41, 6, 2]}
95
- {"id": "nvidia-clara_T3_2_36", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Gpu Clustering?", "ground_truth": ["Gpu Clustering", "Rapids Singlecell", "Cuda X Libraries"], "concept_id": 36, "hop_depth": 2, "path_ids": [36, 33, 2]}
96
- {"id": "nvidia-clara_T3_2_29", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Generative Chemistry?", "ground_truth": ["Generative Chemistry", "Bionemo Training Framework", "Cuda X Libraries"], "concept_id": 29, "hop_depth": 2, "path_ids": [29, 26, 2]}
97
  {"id": "nvidia-clara_T3_14_15", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Gatk4 Best Practices to Variant Calling?", "ground_truth": ["Variant Calling", "Gatk4 Best Practices"], "concept_id": 15, "hop_depth": 1, "path_ids": [15, 14]}
98
  {"id": "nvidia-clara_T3_2_9", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Digital Biology Skills?", "ground_truth": ["Digital Biology Skills", "Agent Skills Framework", "Bionemo Agent Toolkit", "Cuda X Libraries"], "concept_id": 9, "hop_depth": 3, "path_ids": [9, 7, 6, 2]}
99
- {"id": "nvidia-clara_T3_2_16", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Short Read Sequencing?", "ground_truth": ["Short Read Sequencing", "Parabricks", "Cuda X Libraries"], "concept_id": 16, "hop_depth": 2, "path_ids": [16, 13, 2]}
100
- {"id": "nvidia-clara_T3_2_11", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Medtech Skills?", "ground_truth": ["Medtech Skills", "Agent Skills Framework", "Bionemo Agent Toolkit", "Cuda X Libraries"], "concept_id": 11, "hop_depth": 3, "path_ids": [11, 7, 6, 2]}
101
  {"id": "nvidia-clara_T3_2_44", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Automated Documentation?", "ground_truth": ["Automated Documentation", "Ambient Healthcare Agents", "Bionemo Agent Toolkit", "Cuda X Libraries"], "concept_id": 44, "hop_depth": 3, "path_ids": [44, 42, 6, 2]}
102
- {"id": "nvidia-clara_T3_2_24", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Clara Viz?", "ground_truth": ["Clara Viz", "Cuda X Libraries"], "concept_id": 24, "hop_depth": 1, "path_ids": [24, 2]}
103
  {"id": "nvidia-clara_T3_2_25", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Monai Pretrained Models?", "ground_truth": ["Monai Pretrained Models", "Monai Toolkit", "Cuda X Libraries"], "concept_id": 25, "hop_depth": 2, "path_ids": [25, 19, 2]}
 
 
 
104
  {"id": "nvidia-clara_T3_2_39", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Surgical Robotics Policy?", "ground_truth": ["Surgical Robotics Policy", "Isaac Healthcare", "Cuda X Libraries"], "concept_id": 39, "hop_depth": 2, "path_ids": [39, 38, 2]}
105
  {"id": "nvidia-clara_T3_2_44", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Automated Documentation?", "ground_truth": ["Automated Documentation", "Ambient Healthcare Agents", "Bionemo Agent Toolkit", "Cuda X Libraries"], "concept_id": 44, "hop_depth": 3, "path_ids": [44, 42, 6, 2]}
106
- {"id": "nvidia-clara_T3_22_43", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Nvidia Flare to Clinical Data Privacy?", "ground_truth": ["Clinical Data Privacy", "Federated Learning", "Nvidia Flare"], "concept_id": 43, "hop_depth": 2, "path_ids": [43, 23, 22]}
107
  {"id": "nvidia-clara_T4_PLATFORM", "domain": "nvidia-clara", "type": "T4_aggregate", "query": "List all PLATFORM concepts in this knowledge graph", "ground_truth": ["Clara Platform", "Nvidia Ngc", "Dgx Systems", "Base Command Platform", "Bionemo Agent Toolkit", "Isaac Healthcare"], "taxonomy_id": "PLATFORM", "hop_depth": 0}
108
  {"id": "nvidia-clara_T4_SDK", "domain": "nvidia-clara", "type": "T4_aggregate", "query": "List all SDK concepts in this knowledge graph", "ground_truth": ["Cuda X Libraries", "Agent Skills Framework", "Parabricks", "Monai Toolkit", "Monai Core", "Nvidia Flare", "Clara Viz", "Bionemo Training Framework", "Rapids Singlecell", "Holoscan Sdk"], "taxonomy_id": "SDK", "hop_depth": 0}
109
  {"id": "nvidia-clara_T4_STANDARD", "domain": "nvidia-clara", "type": "T4_aggregate", "query": "List all STANDARD concepts in this knowledge graph", "ground_truth": ["Skill Cards", "Gatk4 Best Practices", "Biomolecular Formats"], "taxonomy_id": "STANDARD", "hop_depth": 0}
@@ -111,41 +113,41 @@
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  {"id": "nvidia-clara_T4_WORKFLOW", "domain": "nvidia-clara", "type": "T4_aggregate", "query": "List all WORKFLOW concepts in this knowledge graph", "ground_truth": ["Variant Calling", "Short Read Sequencing", "Long Read Sequencing", "Protein Binder Design", "Single Cell Transcriptomics", "Surgical Robotics Policy", "Medical Device Streaming", "Automated Documentation"], "taxonomy_id": "WORKFLOW", "hop_depth": 0}
112
  {"id": "nvidia-clara_T4_ALGORITH", "domain": "nvidia-clara", "type": "T4_aggregate", "query": "List all ALGORITH concepts in this knowledge graph", "ground_truth": ["Gpu Seq Acceleration", "Federated Learning", "Protein Structure Prediction", "Molecular Docking", "Generative Chemistry", "Generative Protein Design", "Dimensionality Reduction Sc", "Gpu Clustering"], "taxonomy_id": "ALGORITH", "hop_depth": 0}
113
  {"id": "nvidia-clara_T4_TOOL", "domain": "nvidia-clara", "type": "T4_aggregate", "query": "List all TOOL concepts in this knowledge graph", "ground_truth": ["Monai Label", "Biomedical Aiq Agent", "Ambient Healthcare Agents"], "taxonomy_id": "TOOL", "hop_depth": 0}
114
- {"id": "nvidia-clara_T5_25_19", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Monai Pretrained Models relate to Monai Toolkit?", "ground_truth": ["Monai Pretrained Models", "Monai Toolkit"], "concept_id_a": 25, "concept_id_b": 19, "hop_depth": 1}
115
- {"id": "nvidia-clara_T5_39_38", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Surgical Robotics Policy relate to Isaac Healthcare?", "ground_truth": ["Surgical Robotics Policy", "Isaac Healthcare"], "concept_id_a": 39, "concept_id_b": 38, "hop_depth": 1}
116
- {"id": "nvidia-clara_T5_13_2", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Parabricks relate to Cuda X Libraries?", "ground_truth": ["Parabricks", "Cuda X Libraries"], "concept_id_a": 13, "concept_id_b": 2, "hop_depth": 1}
 
 
 
 
117
  {"id": "nvidia-clara_T5_18_2", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Gpu Seq Acceleration relate to Cuda X Libraries?", "ground_truth": ["Gpu Seq Acceleration", "Cuda X Libraries"], "concept_id_a": 18, "concept_id_b": 2, "hop_depth": 1}
118
- {"id": "nvidia-clara_T5_31_27", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Protein Binder Design relate to Protein Structure Prediction?", "ground_truth": ["Protein Binder Design", "Protein Structure Prediction"], "concept_id_a": 31, "concept_id_b": 27, "hop_depth": 1}
 
 
 
119
  {"id": "nvidia-clara_T5_29_26", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Generative Chemistry relate to Bionemo Training Framework?", "ground_truth": ["Generative Chemistry", "Bionemo Training Framework"], "concept_id_a": 29, "concept_id_b": 26, "hop_depth": 1}
120
- {"id": "nvidia-clara_T5_17_13", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Long Read Sequencing relate to Parabricks?", "ground_truth": ["Long Read Sequencing", "Parabricks"], "concept_id_a": 17, "concept_id_b": 13, "hop_depth": 1}
121
- {"id": "nvidia-clara_T5_26_2", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Bionemo Training Framework relate to Cuda X Libraries?", "ground_truth": ["Bionemo Training Framework", "Cuda X Libraries"], "concept_id_a": 26, "concept_id_b": 2, "hop_depth": 1}
 
 
 
 
 
122
  {"id": "nvidia-clara_T5_30_26", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Generative Protein Design relate to Bionemo Training Framework?", "ground_truth": ["Generative Protein Design", "Bionemo Training Framework"], "concept_id_a": 30, "concept_id_b": 26, "hop_depth": 1}
123
- {"id": "nvidia-clara_T5_5_4", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Base Command Platform relate to Dgx Systems?", "ground_truth": ["Base Command Platform", "Dgx Systems"], "concept_id_a": 5, "concept_id_b": 4, "hop_depth": 1}
124
- {"id": "nvidia-clara_T5_15_14", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Variant Calling relate to Gatk4 Best Practices?", "ground_truth": ["Variant Calling", "Gatk4 Best Practices"], "concept_id_a": 15, "concept_id_b": 14, "hop_depth": 1}
125
- {"id": "nvidia-clara_T5_34_33", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Single Cell Transcriptomics relate to Rapids Singlecell?", "ground_truth": ["Single Cell Transcriptomics", "Rapids Singlecell"], "concept_id_a": 34, "concept_id_b": 33, "hop_depth": 1}
126
- {"id": "nvidia-clara_T5_11_7", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Medtech Skills relate to Agent Skills Framework?", "ground_truth": ["Medtech Skills", "Agent Skills Framework"], "concept_id_a": 11, "concept_id_b": 7, "hop_depth": 1}
127
- {"id": "nvidia-clara_T5_19_2", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Monai Toolkit relate to Cuda X Libraries?", "ground_truth": ["Monai Toolkit", "Cuda X Libraries"], "concept_id_a": 19, "concept_id_b": 2, "hop_depth": 1}
128
  {"id": "nvidia-clara_T5_36_33", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Gpu Clustering relate to Rapids Singlecell?", "ground_truth": ["Gpu Clustering", "Rapids Singlecell"], "concept_id_a": 36, "concept_id_b": 33, "hop_depth": 1}
 
 
 
 
 
 
 
 
129
  {"id": "nvidia-clara_T5_44_42", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Automated Documentation relate to Ambient Healthcare Agents?", "ground_truth": ["Automated Documentation", "Ambient Healthcare Agents"], "concept_id_a": 44, "concept_id_b": 42, "hop_depth": 1}
 
 
130
  {"id": "nvidia-clara_T5_37_2", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Holoscan Sdk relate to Cuda X Libraries?", "ground_truth": ["Holoscan Sdk", "Cuda X Libraries"], "concept_id_a": 37, "concept_id_b": 2, "hop_depth": 1}
131
- {"id": "nvidia-clara_T5_26_4", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Bionemo Training Framework relate to Dgx Systems?", "ground_truth": ["Bionemo Training Framework", "Dgx Systems"], "concept_id_a": 26, "concept_id_b": 4, "hop_depth": 1}
132
- {"id": "nvidia-clara_T5_16_13", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Short Read Sequencing relate to Parabricks?", "ground_truth": ["Short Read Sequencing", "Parabricks"], "concept_id_a": 16, "concept_id_b": 13, "hop_depth": 1}
133
  {"id": "nvidia-clara_T5_19_3", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Monai Toolkit relate to Nvidia Ngc?", "ground_truth": ["Monai Toolkit", "Nvidia Ngc"], "concept_id_a": 19, "concept_id_b": 3, "hop_depth": 1}
134
- {"id": "nvidia-clara_T5_26_5", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Bionemo Training Framework relate to Base Command Platform?", "ground_truth": ["Bionemo Training Framework", "Base Command Platform", "Dgx Systems"], "concept_id_a": 26, "concept_id_b": 5, "hop_depth": 1}
135
- {"id": "nvidia-clara_T5_28_26", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Molecular Docking relate to Bionemo Training Framework?", "ground_truth": ["Molecular Docking", "Bionemo Training Framework"], "concept_id_a": 28, "concept_id_b": 26, "hop_depth": 1}
136
  {"id": "nvidia-clara_T5_31_28", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Protein Binder Design relate to Molecular Docking?", "ground_truth": ["Protein Binder Design", "Molecular Docking"], "concept_id_a": 31, "concept_id_b": 28, "hop_depth": 1}
137
- {"id": "nvidia-clara_T5_23_22", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Federated Learning relate to Nvidia Flare?", "ground_truth": ["Federated Learning", "Nvidia Flare"], "concept_id_a": 23, "concept_id_b": 22, "hop_depth": 1}
138
- {"id": "nvidia-clara_T5_21_20", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Monai Label relate to Monai Core?", "ground_truth": ["Monai Label", "Monai Core"], "concept_id_a": 21, "concept_id_b": 20, "hop_depth": 1}
139
- {"id": "nvidia-clara_T5_10_7", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Digital Health Skills relate to Agent Skills Framework?", "ground_truth": ["Digital Health Skills", "Agent Skills Framework"], "concept_id_a": 10, "concept_id_b": 7, "hop_depth": 1}
140
- {"id": "nvidia-clara_T5_27_26", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Protein Structure Prediction relate to Bionemo Training Framework?", "ground_truth": ["Protein Structure Prediction", "Bionemo Training Framework"], "concept_id_a": 27, "concept_id_b": 26, "hop_depth": 1}
141
- {"id": "nvidia-clara_T5_6_2", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Bionemo Agent Toolkit relate to Cuda X Libraries?", "ground_truth": ["Bionemo Agent Toolkit", "Cuda X Libraries"], "concept_id_a": 6, "concept_id_b": 2, "hop_depth": 1}
142
- {"id": "nvidia-clara_T5_9_7", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Digital Biology Skills relate to Agent Skills Framework?", "ground_truth": ["Digital Biology Skills", "Agent Skills Framework"], "concept_id_a": 9, "concept_id_b": 7, "hop_depth": 1}
143
- {"id": "nvidia-clara_T5_42_6", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Ambient Healthcare Agents relate to Bionemo Agent Toolkit?", "ground_truth": ["Ambient Healthcare Agents", "Bionemo Agent Toolkit"], "concept_id_a": 42, "concept_id_b": 6, "hop_depth": 1}
144
- {"id": "nvidia-clara_T5_43_23", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Clinical Data Privacy relate to Federated Learning?", "ground_truth": ["Clinical Data Privacy", "Federated Learning"], "concept_id_a": 43, "concept_id_b": 23, "hop_depth": 1}
145
- {"id": "nvidia-clara_T5_33_2", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Rapids Singlecell relate to Cuda X Libraries?", "ground_truth": ["Rapids Singlecell", "Cuda X Libraries"], "concept_id_a": 33, "concept_id_b": 2, "hop_depth": 1}
146
- {"id": "nvidia-clara_T5_24_2", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Clara Viz relate to Cuda X Libraries?", "ground_truth": ["Clara Viz", "Cuda X Libraries"], "concept_id_a": 24, "concept_id_b": 2, "hop_depth": 1}
147
- {"id": "nvidia-clara_T5_31_30", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Protein Binder Design relate to Generative Protein Design?", "ground_truth": ["Protein Binder Design", "Generative Protein Design"], "concept_id_a": 31, "concept_id_b": 30, "hop_depth": 1}
148
- {"id": "nvidia-clara_T5_40_37", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Medical Device Streaming relate to Holoscan Sdk?", "ground_truth": ["Medical Device Streaming", "Holoscan Sdk"], "concept_id_a": 40, "concept_id_b": 37, "hop_depth": 1}
149
- {"id": "nvidia-clara_T5_12_6", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Closed Loop Discovery relate to Bionemo Agent Toolkit?", "ground_truth": ["Closed Loop Discovery", "Bionemo Agent Toolkit"], "concept_id_a": 12, "concept_id_b": 6, "hop_depth": 1}
150
- {"id": "nvidia-clara_T5_7_6", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Agent Skills Framework relate to Bionemo Agent Toolkit?", "ground_truth": ["Agent Skills Framework", "Bionemo Agent Toolkit"], "concept_id_a": 7, "concept_id_b": 6, "hop_depth": 1}
151
- {"id": "nvidia-clara_T5_38_2", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Isaac Healthcare relate to Cuda X Libraries?", "ground_truth": ["Isaac Healthcare", "Cuda X Libraries"], "concept_id_a": 38, "concept_id_b": 2, "hop_depth": 1}
 
43
  {"id": "nvidia-clara_T1_37", "domain": "nvidia-clara", "type": "T1_entity", "query": "What is Holoscan Sdk?", "ground_truth": ["Holoscan Sdk", "SDK"], "concept_id": 37, "hop_depth": 0}
44
  {"id": "nvidia-clara_T1_22", "domain": "nvidia-clara", "type": "T1_entity", "query": "What is Nvidia Flare?", "ground_truth": ["Nvidia Flare", "SDK"], "concept_id": 22, "hop_depth": 0}
45
  {"id": "nvidia-clara_T1_19", "domain": "nvidia-clara", "type": "T1_entity", "query": "What is Monai Toolkit?", "ground_truth": ["Monai Toolkit", "SDK"], "concept_id": 19, "hop_depth": 0}
46
+ {"id": "nvidia-clara_T2_36", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Gpu Clustering?", "ground_truth": ["Rapids Singlecell"], "concept_id": 36, "hop_depth": 1}
47
+ {"id": "nvidia-clara_T2_41", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Biomedical Aiq Agent?", "ground_truth": ["Real World Evidence", "Clara Platform", "Bionemo Agent Toolkit", "Clinical Data Privacy"], "concept_id": 41, "hop_depth": 1}
 
 
 
 
 
 
 
 
 
 
48
  {"id": "nvidia-clara_T2_11", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Medtech Skills?", "ground_truth": ["Agent Skills Framework"], "concept_id": 11, "hop_depth": 1}
49
  {"id": "nvidia-clara_T2_30", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Generative Protein Design?", "ground_truth": ["Bionemo Training Framework"], "concept_id": 30, "hop_depth": 1}
 
 
 
 
 
 
 
 
50
  {"id": "nvidia-clara_T2_9", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Digital Biology Skills?", "ground_truth": ["Agent Skills Framework"], "concept_id": 9, "hop_depth": 1}
51
  {"id": "nvidia-clara_T2_24", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Clara Viz?", "ground_truth": ["Cuda X Libraries"], "concept_id": 24, "hop_depth": 1}
52
+ {"id": "nvidia-clara_T2_29", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Generative Chemistry?", "ground_truth": ["Bionemo Training Framework"], "concept_id": 29, "hop_depth": 1}
 
53
  {"id": "nvidia-clara_T2_39", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Surgical Robotics Policy?", "ground_truth": ["Isaac Healthcare"], "concept_id": 39, "hop_depth": 1}
54
+ {"id": "nvidia-clara_T2_10", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Digital Health Skills?", "ground_truth": ["Agent Skills Framework"], "concept_id": 10, "hop_depth": 1}
55
+ {"id": "nvidia-clara_T2_28", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Molecular Docking?", "ground_truth": ["Bionemo Training Framework"], "concept_id": 28, "hop_depth": 1}
56
+ {"id": "nvidia-clara_T2_6", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Bionemo Agent Toolkit?", "ground_truth": ["Cuda X Libraries"], "concept_id": 6, "hop_depth": 1}
 
 
57
  {"id": "nvidia-clara_T2_5", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Base Command Platform?", "ground_truth": ["Dgx Systems"], "concept_id": 5, "hop_depth": 1}
58
+ {"id": "nvidia-clara_T2_27", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Protein Structure Prediction?", "ground_truth": ["Bionemo Training Framework"], "concept_id": 27, "hop_depth": 1}
59
+ {"id": "nvidia-clara_T2_42", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Ambient Healthcare Agents?", "ground_truth": ["Clara Platform", "Bionemo Agent Toolkit"], "concept_id": 42, "hop_depth": 1}
60
+ {"id": "nvidia-clara_T2_13", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Parabricks?", "ground_truth": ["Cuda X Libraries", "Clara Platform", "Gatk4 Best Practices"], "concept_id": 13, "hop_depth": 1}
61
+ {"id": "nvidia-clara_T2_34", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Single Cell Transcriptomics?", "ground_truth": ["Dimensionality Reduction Sc", "Rapids Singlecell", "Gpu Clustering"], "concept_id": 34, "hop_depth": 1}
62
+ {"id": "nvidia-clara_T2_43", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Clinical Data Privacy?", "ground_truth": ["Federated Learning"], "concept_id": 43, "hop_depth": 1}
63
+ {"id": "nvidia-clara_T2_7", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Agent Skills Framework?", "ground_truth": ["Bionemo Agent Toolkit"], "concept_id": 7, "hop_depth": 1}
64
+ {"id": "nvidia-clara_T2_17", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Long Read Sequencing?", "ground_truth": ["Parabricks"], "concept_id": 17, "hop_depth": 1}
65
+ {"id": "nvidia-clara_T2_12", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Closed Loop Discovery?", "ground_truth": ["Bionemo Agent Toolkit"], "concept_id": 12, "hop_depth": 1}
66
+ {"id": "nvidia-clara_T2_19", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Monai Toolkit?", "ground_truth": ["Monai Core", "Nvidia Flare", "Clara Platform", "Monai Label", "Nvidia Ngc", "Cuda X Libraries"], "concept_id": 19, "hop_depth": 1}
67
+ {"id": "nvidia-clara_T2_16", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Short Read Sequencing?", "ground_truth": ["Parabricks"], "concept_id": 16, "hop_depth": 1}
68
+ {"id": "nvidia-clara_T2_40", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Medical Device Streaming?", "ground_truth": ["Holoscan Sdk"], "concept_id": 40, "hop_depth": 1}
69
  {"id": "nvidia-clara_T2_21", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Monai Label?", "ground_truth": ["Monai Core"], "concept_id": 21, "hop_depth": 1}
70
+ {"id": "nvidia-clara_T2_23", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Federated Learning?", "ground_truth": ["Nvidia Flare"], "concept_id": 23, "hop_depth": 1}
71
+ {"id": "nvidia-clara_T2_26", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Bionemo Training Framework?", "ground_truth": ["Biomolecular Formats", "Base Command Platform", "Dgx Systems", "Clara Platform", "Cuda X Libraries"], "concept_id": 26, "hop_depth": 1}
72
+ {"id": "nvidia-clara_T2_15", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Variant Calling?", "ground_truth": ["Gatk4 Best Practices"], "concept_id": 15, "hop_depth": 1}
73
+ {"id": "nvidia-clara_T2_8", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Skill Cards?", "ground_truth": ["Agent Skills Framework"], "concept_id": 8, "hop_depth": 1}
74
+ {"id": "nvidia-clara_T2_33", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Rapids Singlecell?", "ground_truth": ["Cuda X Libraries", "Clara Platform", "Dimensionality Reduction Sc", "Gpu Clustering"], "concept_id": 33, "hop_depth": 1}
75
+ {"id": "nvidia-clara_T2_35", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Dimensionality Reduction Sc?", "ground_truth": ["Rapids Singlecell"], "concept_id": 35, "hop_depth": 1}
76
+ {"id": "nvidia-clara_T2_25", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Monai Pretrained Models?", "ground_truth": ["Monai Toolkit"], "concept_id": 25, "hop_depth": 1}
77
+ {"id": "nvidia-clara_T2_38", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Isaac Healthcare?", "ground_truth": ["Cuda X Libraries", "Clara Platform"], "concept_id": 38, "hop_depth": 1}
78
+ {"id": "nvidia-clara_T2_31", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Protein Binder Design?", "ground_truth": ["Generative Protein Design", "Molecular Docking", "Protein Structure Prediction"], "concept_id": 31, "hop_depth": 1}
79
+ {"id": "nvidia-clara_T2_18", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Gpu Seq Acceleration?", "ground_truth": ["Cuda X Libraries"], "concept_id": 18, "hop_depth": 1}
80
+ {"id": "nvidia-clara_T2_37", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Holoscan Sdk?", "ground_truth": ["Cuda X Libraries", "Clara Platform"], "concept_id": 37, "hop_depth": 1}
81
+ {"id": "nvidia-clara_T2_22", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Nvidia Flare?", "ground_truth": ["Federated Learning"], "concept_id": 22, "hop_depth": 1}
82
+ {"id": "nvidia-clara_T2_1", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Clara Platform?", "ground_truth": ["Bionemo Agent Toolkit"], "concept_id": 1, "hop_depth": 1}
83
+ {"id": "nvidia-clara_T2_44", "domain": "nvidia-clara", "type": "T2_dependency", "query": "What are the prerequisites for Automated Documentation?", "ground_truth": ["Ambient Healthcare Agents"], "concept_id": 44, "hop_depth": 1}
84
+ {"id": "nvidia-clara_T3_2_16", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Short Read Sequencing?", "ground_truth": ["Short Read Sequencing", "Parabricks", "Cuda X Libraries"], "concept_id": 16, "hop_depth": 2, "path_ids": [16, 13, 2]}
85
+ {"id": "nvidia-clara_T3_20_25", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Monai Core to Monai Pretrained Models?", "ground_truth": ["Monai Pretrained Models", "Monai Toolkit", "Monai Core"], "concept_id": 25, "hop_depth": 2, "path_ids": [25, 19, 20]}
86
+ {"id": "nvidia-clara_T3_2_24", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Clara Viz?", "ground_truth": ["Clara Viz", "Cuda X Libraries"], "concept_id": 24, "hop_depth": 1, "path_ids": [24, 2]}
87
+ {"id": "nvidia-clara_T3_14_15", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Gatk4 Best Practices to Variant Calling?", "ground_truth": ["Variant Calling", "Gatk4 Best Practices"], "concept_id": 15, "hop_depth": 1, "path_ids": [15, 14]}
88
+ {"id": "nvidia-clara_T3_45_41", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Real World Evidence to Biomedical Aiq Agent?", "ground_truth": ["Biomedical Aiq Agent", "Real World Evidence"], "concept_id": 41, "hop_depth": 1, "path_ids": [41, 45]}
89
  {"id": "nvidia-clara_T3_2_25", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Monai Pretrained Models?", "ground_truth": ["Monai Pretrained Models", "Monai Toolkit", "Cuda X Libraries"], "concept_id": 25, "hop_depth": 2, "path_ids": [25, 19, 2]}
90
+ {"id": "nvidia-clara_T3_2_29", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Generative Chemistry?", "ground_truth": ["Generative Chemistry", "Bionemo Training Framework", "Cuda X Libraries"], "concept_id": 29, "hop_depth": 2, "path_ids": [29, 26, 2]}
91
  {"id": "nvidia-clara_T3_2_40", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Medical Device Streaming?", "ground_truth": ["Medical Device Streaming", "Holoscan Sdk", "Cuda X Libraries"], "concept_id": 40, "hop_depth": 2, "path_ids": [40, 37, 2]}
92
+ {"id": "nvidia-clara_T3_2_25", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Monai Pretrained Models?", "ground_truth": ["Monai Pretrained Models", "Monai Toolkit", "Cuda X Libraries"], "concept_id": 25, "hop_depth": 2, "path_ids": [25, 19, 2]}
93
+ {"id": "nvidia-clara_T3_2_44", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Automated Documentation?", "ground_truth": ["Automated Documentation", "Ambient Healthcare Agents", "Bionemo Agent Toolkit", "Cuda X Libraries"], "concept_id": 44, "hop_depth": 3, "path_ids": [44, 42, 6, 2]}
94
+ {"id": "nvidia-clara_T3_2_10", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Digital Health Skills?", "ground_truth": ["Digital Health Skills", "Agent Skills Framework", "Bionemo Agent Toolkit", "Cuda X Libraries"], "concept_id": 10, "hop_depth": 3, "path_ids": [10, 7, 6, 2]}
95
+ {"id": "nvidia-clara_T3_2_25", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Monai Pretrained Models?", "ground_truth": ["Monai Pretrained Models", "Monai Toolkit", "Cuda X Libraries"], "concept_id": 25, "hop_depth": 2, "path_ids": [25, 19, 2]}
 
 
 
 
 
96
  {"id": "nvidia-clara_T3_2_41", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Biomedical Aiq Agent?", "ground_truth": ["Biomedical Aiq Agent", "Bionemo Agent Toolkit", "Cuda X Libraries"], "concept_id": 41, "hop_depth": 2, "path_ids": [41, 6, 2]}
97
+ {"id": "nvidia-clara_T3_2_34", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Single Cell Transcriptomics?", "ground_truth": ["Single Cell Transcriptomics", "Rapids Singlecell", "Cuda X Libraries"], "concept_id": 34, "hop_depth": 2, "path_ids": [34, 33, 2]}
98
+ {"id": "nvidia-clara_T3_2_31", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Protein Binder Design?", "ground_truth": ["Protein Binder Design", "Generative Protein Design", "Bionemo Training Framework", "Cuda X Libraries"], "concept_id": 31, "hop_depth": 3, "path_ids": [31, 30, 26, 2]}
99
  {"id": "nvidia-clara_T3_14_15", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Gatk4 Best Practices to Variant Calling?", "ground_truth": ["Variant Calling", "Gatk4 Best Practices"], "concept_id": 15, "hop_depth": 1, "path_ids": [15, 14]}
100
  {"id": "nvidia-clara_T3_2_9", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Digital Biology Skills?", "ground_truth": ["Digital Biology Skills", "Agent Skills Framework", "Bionemo Agent Toolkit", "Cuda X Libraries"], "concept_id": 9, "hop_depth": 3, "path_ids": [9, 7, 6, 2]}
101
+ {"id": "nvidia-clara_T3_2_17", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Long Read Sequencing?", "ground_truth": ["Long Read Sequencing", "Parabricks", "Cuda X Libraries"], "concept_id": 17, "hop_depth": 2, "path_ids": [17, 13, 2]}
 
102
  {"id": "nvidia-clara_T3_2_44", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Automated Documentation?", "ground_truth": ["Automated Documentation", "Ambient Healthcare Agents", "Bionemo Agent Toolkit", "Cuda X Libraries"], "concept_id": 44, "hop_depth": 3, "path_ids": [44, 42, 6, 2]}
 
103
  {"id": "nvidia-clara_T3_2_25", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Monai Pretrained Models?", "ground_truth": ["Monai Pretrained Models", "Monai Toolkit", "Cuda X Libraries"], "concept_id": 25, "hop_depth": 2, "path_ids": [25, 19, 2]}
104
+ {"id": "nvidia-clara_T3_2_9", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Digital Biology Skills?", "ground_truth": ["Digital Biology Skills", "Agent Skills Framework", "Bionemo Agent Toolkit", "Cuda X Libraries"], "concept_id": 9, "hop_depth": 3, "path_ids": [9, 7, 6, 2]}
105
+ {"id": "nvidia-clara_T3_2_10", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Digital Health Skills?", "ground_truth": ["Digital Health Skills", "Agent Skills Framework", "Bionemo Agent Toolkit", "Cuda X Libraries"], "concept_id": 10, "hop_depth": 3, "path_ids": [10, 7, 6, 2]}
106
+ {"id": "nvidia-clara_T3_3_25", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Nvidia Ngc to Monai Pretrained Models?", "ground_truth": ["Monai Pretrained Models", "Monai Toolkit", "Nvidia Ngc"], "concept_id": 25, "hop_depth": 2, "path_ids": [25, 19, 3]}
107
  {"id": "nvidia-clara_T3_2_39", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Surgical Robotics Policy?", "ground_truth": ["Surgical Robotics Policy", "Isaac Healthcare", "Cuda X Libraries"], "concept_id": 39, "hop_depth": 2, "path_ids": [39, 38, 2]}
108
  {"id": "nvidia-clara_T3_2_44", "domain": "nvidia-clara", "type": "T3_path", "query": "What is the prerequisite chain from Cuda X Libraries to Automated Documentation?", "ground_truth": ["Automated Documentation", "Ambient Healthcare Agents", "Bionemo Agent Toolkit", "Cuda X Libraries"], "concept_id": 44, "hop_depth": 3, "path_ids": [44, 42, 6, 2]}
 
109
  {"id": "nvidia-clara_T4_PLATFORM", "domain": "nvidia-clara", "type": "T4_aggregate", "query": "List all PLATFORM concepts in this knowledge graph", "ground_truth": ["Clara Platform", "Nvidia Ngc", "Dgx Systems", "Base Command Platform", "Bionemo Agent Toolkit", "Isaac Healthcare"], "taxonomy_id": "PLATFORM", "hop_depth": 0}
110
  {"id": "nvidia-clara_T4_SDK", "domain": "nvidia-clara", "type": "T4_aggregate", "query": "List all SDK concepts in this knowledge graph", "ground_truth": ["Cuda X Libraries", "Agent Skills Framework", "Parabricks", "Monai Toolkit", "Monai Core", "Nvidia Flare", "Clara Viz", "Bionemo Training Framework", "Rapids Singlecell", "Holoscan Sdk"], "taxonomy_id": "SDK", "hop_depth": 0}
111
  {"id": "nvidia-clara_T4_STANDARD", "domain": "nvidia-clara", "type": "T4_aggregate", "query": "List all STANDARD concepts in this knowledge graph", "ground_truth": ["Skill Cards", "Gatk4 Best Practices", "Biomolecular Formats"], "taxonomy_id": "STANDARD", "hop_depth": 0}
 
113
  {"id": "nvidia-clara_T4_WORKFLOW", "domain": "nvidia-clara", "type": "T4_aggregate", "query": "List all WORKFLOW concepts in this knowledge graph", "ground_truth": ["Variant Calling", "Short Read Sequencing", "Long Read Sequencing", "Protein Binder Design", "Single Cell Transcriptomics", "Surgical Robotics Policy", "Medical Device Streaming", "Automated Documentation"], "taxonomy_id": "WORKFLOW", "hop_depth": 0}
114
  {"id": "nvidia-clara_T4_ALGORITH", "domain": "nvidia-clara", "type": "T4_aggregate", "query": "List all ALGORITH concepts in this knowledge graph", "ground_truth": ["Gpu Seq Acceleration", "Federated Learning", "Protein Structure Prediction", "Molecular Docking", "Generative Chemistry", "Generative Protein Design", "Dimensionality Reduction Sc", "Gpu Clustering"], "taxonomy_id": "ALGORITH", "hop_depth": 0}
115
  {"id": "nvidia-clara_T4_TOOL", "domain": "nvidia-clara", "type": "T4_aggregate", "query": "List all TOOL concepts in this knowledge graph", "ground_truth": ["Monai Label", "Biomedical Aiq Agent", "Ambient Healthcare Agents"], "taxonomy_id": "TOOL", "hop_depth": 0}
116
+ {"id": "nvidia-clara_T5_16_13", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Short Read Sequencing relate to Parabricks?", "ground_truth": ["Short Read Sequencing", "Parabricks"], "concept_id_a": 16, "concept_id_b": 13, "hop_depth": 1}
117
+ {"id": "nvidia-clara_T5_27_26", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Protein Structure Prediction relate to Bionemo Training Framework?", "ground_truth": ["Protein Structure Prediction", "Bionemo Training Framework"], "concept_id_a": 27, "concept_id_b": 26, "hop_depth": 1}
118
+ {"id": "nvidia-clara_T5_19_20", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Monai Toolkit relate to Monai Core?", "ground_truth": ["Monai Toolkit", "Monai Core"], "concept_id_a": 19, "concept_id_b": 20, "hop_depth": 1}
119
+ {"id": "nvidia-clara_T5_12_6", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Closed Loop Discovery relate to Bionemo Agent Toolkit?", "ground_truth": ["Closed Loop Discovery", "Bionemo Agent Toolkit"], "concept_id_a": 12, "concept_id_b": 6, "hop_depth": 1}
120
+ {"id": "nvidia-clara_T5_21_20", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Monai Label relate to Monai Core?", "ground_truth": ["Monai Label", "Monai Core"], "concept_id_a": 21, "concept_id_b": 20, "hop_depth": 1}
121
+ {"id": "nvidia-clara_T5_41_6", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Biomedical Aiq Agent relate to Bionemo Agent Toolkit?", "ground_truth": ["Biomedical Aiq Agent", "Bionemo Agent Toolkit"], "concept_id_a": 41, "concept_id_b": 6, "hop_depth": 1}
122
+ {"id": "nvidia-clara_T5_8_7", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Skill Cards relate to Agent Skills Framework?", "ground_truth": ["Skill Cards", "Agent Skills Framework"], "concept_id_a": 8, "concept_id_b": 7, "hop_depth": 1}
123
  {"id": "nvidia-clara_T5_18_2", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Gpu Seq Acceleration relate to Cuda X Libraries?", "ground_truth": ["Gpu Seq Acceleration", "Cuda X Libraries"], "concept_id_a": 18, "concept_id_b": 2, "hop_depth": 1}
124
+ {"id": "nvidia-clara_T5_22_23", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Nvidia Flare relate to Federated Learning?", "ground_truth": ["Nvidia Flare", "Federated Learning"], "concept_id_a": 22, "concept_id_b": 23, "hop_depth": 1}
125
+ {"id": "nvidia-clara_T5_19_1", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Monai Toolkit relate to Clara Platform?", "ground_truth": ["Monai Toolkit", "Clara Platform"], "concept_id_a": 19, "concept_id_b": 1, "hop_depth": 1}
126
+ {"id": "nvidia-clara_T5_13_1", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Parabricks relate to Clara Platform?", "ground_truth": ["Parabricks", "Clara Platform"], "concept_id_a": 13, "concept_id_b": 1, "hop_depth": 1}
127
+ {"id": "nvidia-clara_T5_26_5", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Bionemo Training Framework relate to Base Command Platform?", "ground_truth": ["Bionemo Training Framework", "Base Command Platform", "Dgx Systems"], "concept_id_a": 26, "concept_id_b": 5, "hop_depth": 1}
128
  {"id": "nvidia-clara_T5_29_26", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Generative Chemistry relate to Bionemo Training Framework?", "ground_truth": ["Generative Chemistry", "Bionemo Training Framework"], "concept_id_a": 29, "concept_id_b": 26, "hop_depth": 1}
129
+ {"id": "nvidia-clara_T5_34_36", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Single Cell Transcriptomics relate to Gpu Clustering?", "ground_truth": ["Single Cell Transcriptomics", "Gpu Clustering", "Rapids Singlecell"], "concept_id_a": 34, "concept_id_b": 36, "hop_depth": 1}
130
+ {"id": "nvidia-clara_T5_19_21", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Monai Toolkit relate to Monai Label?", "ground_truth": ["Monai Toolkit", "Monai Label", "Monai Core"], "concept_id_a": 19, "concept_id_b": 21, "hop_depth": 1}
131
+ {"id": "nvidia-clara_T5_33_2", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Rapids Singlecell relate to Cuda X Libraries?", "ground_truth": ["Rapids Singlecell", "Cuda X Libraries"], "concept_id_a": 33, "concept_id_b": 2, "hop_depth": 1}
132
+ {"id": "nvidia-clara_T5_33_35", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Rapids Singlecell relate to Dimensionality Reduction Sc?", "ground_truth": ["Rapids Singlecell", "Dimensionality Reduction Sc"], "concept_id_a": 33, "concept_id_b": 35, "hop_depth": 1}
133
+ {"id": "nvidia-clara_T5_28_26", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Molecular Docking relate to Bionemo Training Framework?", "ground_truth": ["Molecular Docking", "Bionemo Training Framework"], "concept_id_a": 28, "concept_id_b": 26, "hop_depth": 1}
134
+ {"id": "nvidia-clara_T5_1_6", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Clara Platform relate to Bionemo Agent Toolkit?", "ground_truth": ["Clara Platform", "Bionemo Agent Toolkit"], "concept_id_a": 1, "concept_id_b": 6, "hop_depth": 1}
135
+ {"id": "nvidia-clara_T5_33_36", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Rapids Singlecell relate to Gpu Clustering?", "ground_truth": ["Rapids Singlecell", "Gpu Clustering"], "concept_id_a": 33, "concept_id_b": 36, "hop_depth": 1}
136
  {"id": "nvidia-clara_T5_30_26", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Generative Protein Design relate to Bionemo Training Framework?", "ground_truth": ["Generative Protein Design", "Bionemo Training Framework"], "concept_id_a": 30, "concept_id_b": 26, "hop_depth": 1}
 
 
 
 
 
137
  {"id": "nvidia-clara_T5_36_33", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Gpu Clustering relate to Rapids Singlecell?", "ground_truth": ["Gpu Clustering", "Rapids Singlecell"], "concept_id_a": 36, "concept_id_b": 33, "hop_depth": 1}
138
+ {"id": "nvidia-clara_T5_10_7", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Digital Health Skills relate to Agent Skills Framework?", "ground_truth": ["Digital Health Skills", "Agent Skills Framework"], "concept_id_a": 10, "concept_id_b": 7, "hop_depth": 1}
139
+ {"id": "nvidia-clara_T5_42_1", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Ambient Healthcare Agents relate to Clara Platform?", "ground_truth": ["Ambient Healthcare Agents", "Clara Platform", "Bionemo Agent Toolkit"], "concept_id_a": 42, "concept_id_b": 1, "hop_depth": 1}
140
+ {"id": "nvidia-clara_T5_42_6", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Ambient Healthcare Agents relate to Bionemo Agent Toolkit?", "ground_truth": ["Ambient Healthcare Agents", "Bionemo Agent Toolkit"], "concept_id_a": 42, "concept_id_b": 6, "hop_depth": 1}
141
+ {"id": "nvidia-clara_T5_11_7", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Medtech Skills relate to Agent Skills Framework?", "ground_truth": ["Medtech Skills", "Agent Skills Framework"], "concept_id_a": 11, "concept_id_b": 7, "hop_depth": 1}
142
+ {"id": "nvidia-clara_T5_35_33", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Dimensionality Reduction Sc relate to Rapids Singlecell?", "ground_truth": ["Dimensionality Reduction Sc", "Rapids Singlecell"], "concept_id_a": 35, "concept_id_b": 33, "hop_depth": 1}
143
+ {"id": "nvidia-clara_T5_13_2", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Parabricks relate to Cuda X Libraries?", "ground_truth": ["Parabricks", "Cuda X Libraries"], "concept_id_a": 13, "concept_id_b": 2, "hop_depth": 1}
144
+ {"id": "nvidia-clara_T5_19_22", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Monai Toolkit relate to Nvidia Flare?", "ground_truth": ["Monai Toolkit", "Nvidia Flare"], "concept_id_a": 19, "concept_id_b": 22, "hop_depth": 1}
145
+ {"id": "nvidia-clara_T5_39_38", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Surgical Robotics Policy relate to Isaac Healthcare?", "ground_truth": ["Surgical Robotics Policy", "Isaac Healthcare"], "concept_id_a": 39, "concept_id_b": 38, "hop_depth": 1}
146
  {"id": "nvidia-clara_T5_44_42", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Automated Documentation relate to Ambient Healthcare Agents?", "ground_truth": ["Automated Documentation", "Ambient Healthcare Agents"], "concept_id_a": 44, "concept_id_b": 42, "hop_depth": 1}
147
+ {"id": "nvidia-clara_T5_41_43", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Biomedical Aiq Agent relate to Clinical Data Privacy?", "ground_truth": ["Biomedical Aiq Agent", "Clinical Data Privacy"], "concept_id_a": 41, "concept_id_b": 43, "hop_depth": 1}
148
+ {"id": "nvidia-clara_T5_38_1", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Isaac Healthcare relate to Clara Platform?", "ground_truth": ["Isaac Healthcare", "Clara Platform"], "concept_id_a": 38, "concept_id_b": 1, "hop_depth": 1}
149
  {"id": "nvidia-clara_T5_37_2", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Holoscan Sdk relate to Cuda X Libraries?", "ground_truth": ["Holoscan Sdk", "Cuda X Libraries"], "concept_id_a": 37, "concept_id_b": 2, "hop_depth": 1}
150
+ {"id": "nvidia-clara_T5_19_2", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Monai Toolkit relate to Cuda X Libraries?", "ground_truth": ["Monai Toolkit", "Cuda X Libraries"], "concept_id_a": 19, "concept_id_b": 2, "hop_depth": 1}
 
151
  {"id": "nvidia-clara_T5_19_3", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Monai Toolkit relate to Nvidia Ngc?", "ground_truth": ["Monai Toolkit", "Nvidia Ngc"], "concept_id_a": 19, "concept_id_b": 3, "hop_depth": 1}
152
+ {"id": "nvidia-clara_T5_31_27", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Protein Binder Design relate to Protein Structure Prediction?", "ground_truth": ["Protein Binder Design", "Protein Structure Prediction"], "concept_id_a": 31, "concept_id_b": 27, "hop_depth": 1}
 
153
  {"id": "nvidia-clara_T5_31_28", "domain": "nvidia-clara", "type": "T5_cross_concept", "query": "How does Protein Binder Design relate to Molecular Docking?", "ground_truth": ["Protein Binder Design", "Molecular Docking"], "concept_id_a": 31, "concept_id_b": 28, "hop_depth": 1}