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Upload training_data/processed/planner_train.jsonl with huggingface_hub

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training_data/processed/planner_train.jsonl ADDED
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1
+ {"instruction": "Explain key concepts and best practices for planner (scenario 1)", "response": "[Generated response for planner - scenario 1]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
2
+ {"instruction": "Solve problems related to planner domain expertise (scenario 2)", "response": "[Generated response for planner - scenario 2]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
3
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 3)", "response": "[Generated response for planner - scenario 3]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
4
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 4)", "response": "[Generated response for planner - scenario 4]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
5
+ {"instruction": "Explain key concepts and best practices for planner (scenario 5)", "response": "[Generated response for planner - scenario 5]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
6
+ {"instruction": "Solve problems related to planner domain expertise (scenario 6)", "response": "[Generated response for planner - scenario 6]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
7
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 7)", "response": "[Generated response for planner - scenario 7]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
8
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 8)", "response": "[Generated response for planner - scenario 8]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
9
+ {"instruction": "Explain key concepts and best practices for planner (scenario 9)", "response": "[Generated response for planner - scenario 9]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
10
+ {"instruction": "Solve problems related to planner domain expertise (scenario 10)", "response": "[Generated response for planner - scenario 10]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
11
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 11)", "response": "[Generated response for planner - scenario 11]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
12
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 12)", "response": "[Generated response for planner - scenario 12]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
13
+ {"instruction": "Explain key concepts and best practices for planner (scenario 13)", "response": "[Generated response for planner - scenario 13]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
14
+ {"instruction": "Solve problems related to planner domain expertise (scenario 14)", "response": "[Generated response for planner - scenario 14]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
15
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 15)", "response": "[Generated response for planner - scenario 15]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
16
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 16)", "response": "[Generated response for planner - scenario 16]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
17
+ {"instruction": "Explain key concepts and best practices for planner (scenario 17)", "response": "[Generated response for planner - scenario 17]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
18
+ {"instruction": "Solve problems related to planner domain expertise (scenario 18)", "response": "[Generated response for planner - scenario 18]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
19
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 19)", "response": "[Generated response for planner - scenario 19]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
20
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 20)", "response": "[Generated response for planner - scenario 20]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
21
+ {"instruction": "Explain key concepts and best practices for planner (scenario 21)", "response": "[Generated response for planner - scenario 21]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
22
+ {"instruction": "Solve problems related to planner domain expertise (scenario 22)", "response": "[Generated response for planner - scenario 22]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
23
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 23)", "response": "[Generated response for planner - scenario 23]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
24
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 24)", "response": "[Generated response for planner - scenario 24]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
25
+ {"instruction": "Explain key concepts and best practices for planner (scenario 25)", "response": "[Generated response for planner - scenario 25]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
26
+ {"instruction": "Solve problems related to planner domain expertise (scenario 26)", "response": "[Generated response for planner - scenario 26]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
27
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 27)", "response": "[Generated response for planner - scenario 27]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
28
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 28)", "response": "[Generated response for planner - scenario 28]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
29
+ {"instruction": "Explain key concepts and best practices for planner (scenario 29)", "response": "[Generated response for planner - scenario 29]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
30
+ {"instruction": "Solve problems related to planner domain expertise (scenario 30)", "response": "[Generated response for planner - scenario 30]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
31
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 31)", "response": "[Generated response for planner - scenario 31]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
32
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 32)", "response": "[Generated response for planner - scenario 32]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
33
+ {"instruction": "Explain key concepts and best practices for planner (scenario 33)", "response": "[Generated response for planner - scenario 33]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
34
+ {"instruction": "Solve problems related to planner domain expertise (scenario 34)", "response": "[Generated response for planner - scenario 34]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
35
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 35)", "response": "[Generated response for planner - scenario 35]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
36
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 36)", "response": "[Generated response for planner - scenario 36]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
37
+ {"instruction": "Explain key concepts and best practices for planner (scenario 37)", "response": "[Generated response for planner - scenario 37]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
38
+ {"instruction": "Solve problems related to planner domain expertise (scenario 38)", "response": "[Generated response for planner - scenario 38]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
39
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 39)", "response": "[Generated response for planner - scenario 39]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
40
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 40)", "response": "[Generated response for planner - scenario 40]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
41
+ {"instruction": "Explain key concepts and best practices for planner (scenario 41)", "response": "[Generated response for planner - scenario 41]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
42
+ {"instruction": "Solve problems related to planner domain expertise (scenario 42)", "response": "[Generated response for planner - scenario 42]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
43
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 43)", "response": "[Generated response for planner - scenario 43]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
44
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 44)", "response": "[Generated response for planner - scenario 44]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
45
+ {"instruction": "Explain key concepts and best practices for planner (scenario 45)", "response": "[Generated response for planner - scenario 45]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
46
+ {"instruction": "Solve problems related to planner domain expertise (scenario 46)", "response": "[Generated response for planner - scenario 46]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
47
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 47)", "response": "[Generated response for planner - scenario 47]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
48
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 48)", "response": "[Generated response for planner - scenario 48]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
49
+ {"instruction": "Explain key concepts and best practices for planner (scenario 49)", "response": "[Generated response for planner - scenario 49]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
50
+ {"instruction": "Solve problems related to planner domain expertise (scenario 50)", "response": "[Generated response for planner - scenario 50]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
51
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 51)", "response": "[Generated response for planner - scenario 51]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
52
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 52)", "response": "[Generated response for planner - scenario 52]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
53
+ {"instruction": "Explain key concepts and best practices for planner (scenario 53)", "response": "[Generated response for planner - scenario 53]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
54
+ {"instruction": "Solve problems related to planner domain expertise (scenario 54)", "response": "[Generated response for planner - scenario 54]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
55
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 55)", "response": "[Generated response for planner - scenario 55]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
56
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 56)", "response": "[Generated response for planner - scenario 56]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
57
+ {"instruction": "Explain key concepts and best practices for planner (scenario 57)", "response": "[Generated response for planner - scenario 57]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
58
+ {"instruction": "Solve problems related to planner domain expertise (scenario 58)", "response": "[Generated response for planner - scenario 58]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
59
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 59)", "response": "[Generated response for planner - scenario 59]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
60
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 60)", "response": "[Generated response for planner - scenario 60]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
61
+ {"instruction": "Explain key concepts and best practices for planner (scenario 61)", "response": "[Generated response for planner - scenario 61]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
62
+ {"instruction": "Solve problems related to planner domain expertise (scenario 62)", "response": "[Generated response for planner - scenario 62]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
63
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 63)", "response": "[Generated response for planner - scenario 63]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
64
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 64)", "response": "[Generated response for planner - scenario 64]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
65
+ {"instruction": "Explain key concepts and best practices for planner (scenario 65)", "response": "[Generated response for planner - scenario 65]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
66
+ {"instruction": "Solve problems related to planner domain expertise (scenario 66)", "response": "[Generated response for planner - scenario 66]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
67
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 67)", "response": "[Generated response for planner - scenario 67]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
68
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 68)", "response": "[Generated response for planner - scenario 68]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
69
+ {"instruction": "Explain key concepts and best practices for planner (scenario 69)", "response": "[Generated response for planner - scenario 69]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
70
+ {"instruction": "Solve problems related to planner domain expertise (scenario 70)", "response": "[Generated response for planner - scenario 70]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
71
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 71)", "response": "[Generated response for planner - scenario 71]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
72
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 72)", "response": "[Generated response for planner - scenario 72]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
73
+ {"instruction": "Explain key concepts and best practices for planner (scenario 73)", "response": "[Generated response for planner - scenario 73]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
74
+ {"instruction": "Solve problems related to planner domain expertise (scenario 74)", "response": "[Generated response for planner - scenario 74]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
75
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 75)", "response": "[Generated response for planner - scenario 75]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
76
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 76)", "response": "[Generated response for planner - scenario 76]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
77
+ {"instruction": "Explain key concepts and best practices for planner (scenario 77)", "response": "[Generated response for planner - scenario 77]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
78
+ {"instruction": "Solve problems related to planner domain expertise (scenario 78)", "response": "[Generated response for planner - scenario 78]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
79
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 79)", "response": "[Generated response for planner - scenario 79]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
80
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 80)", "response": "[Generated response for planner - scenario 80]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
81
+ {"instruction": "Explain key concepts and best practices for planner (scenario 81)", "response": "[Generated response for planner - scenario 81]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
82
+ {"instruction": "Solve problems related to planner domain expertise (scenario 82)", "response": "[Generated response for planner - scenario 82]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
83
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 83)", "response": "[Generated response for planner - scenario 83]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
84
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 84)", "response": "[Generated response for planner - scenario 84]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
85
+ {"instruction": "Explain key concepts and best practices for planner (scenario 85)", "response": "[Generated response for planner - scenario 85]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
86
+ {"instruction": "Solve problems related to planner domain expertise (scenario 86)", "response": "[Generated response for planner - scenario 86]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
87
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 87)", "response": "[Generated response for planner - scenario 87]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
88
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 88)", "response": "[Generated response for planner - scenario 88]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
89
+ {"instruction": "Explain key concepts and best practices for planner (scenario 89)", "response": "[Generated response for planner - scenario 89]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
90
+ {"instruction": "Solve problems related to planner domain expertise (scenario 90)", "response": "[Generated response for planner - scenario 90]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
91
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 91)", "response": "[Generated response for planner - scenario 91]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
92
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 92)", "response": "[Generated response for planner - scenario 92]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
93
+ {"instruction": "Explain key concepts and best practices for planner (scenario 93)", "response": "[Generated response for planner - scenario 93]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
94
+ {"instruction": "Solve problems related to planner domain expertise (scenario 94)", "response": "[Generated response for planner - scenario 94]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
95
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 95)", "response": "[Generated response for planner - scenario 95]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
96
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 96)", "response": "[Generated response for planner - scenario 96]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
97
+ {"instruction": "Explain key concepts and best practices for planner (scenario 97)", "response": "[Generated response for planner - scenario 97]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
98
+ {"instruction": "Solve problems related to planner domain expertise (scenario 98)", "response": "[Generated response for planner - scenario 98]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
99
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 99)", "response": "[Generated response for planner - scenario 99]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
100
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 100)", "response": "[Generated response for planner - scenario 100]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
101
+ {"instruction": "Explain key concepts and best practices for planner (scenario 101)", "response": "[Generated response for planner - scenario 101]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
102
+ {"instruction": "Solve problems related to planner domain expertise (scenario 102)", "response": "[Generated response for planner - scenario 102]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
103
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 103)", "response": "[Generated response for planner - scenario 103]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
104
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 104)", "response": "[Generated response for planner - scenario 104]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
105
+ {"instruction": "Explain key concepts and best practices for planner (scenario 105)", "response": "[Generated response for planner - scenario 105]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
106
+ {"instruction": "Solve problems related to planner domain expertise (scenario 106)", "response": "[Generated response for planner - scenario 106]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
107
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 107)", "response": "[Generated response for planner - scenario 107]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
108
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 108)", "response": "[Generated response for planner - scenario 108]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
109
+ {"instruction": "Explain key concepts and best practices for planner (scenario 109)", "response": "[Generated response for planner - scenario 109]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
110
+ {"instruction": "Solve problems related to planner domain expertise (scenario 110)", "response": "[Generated response for planner - scenario 110]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
111
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 111)", "response": "[Generated response for planner - scenario 111]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
112
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 112)", "response": "[Generated response for planner - scenario 112]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
113
+ {"instruction": "Explain key concepts and best practices for planner (scenario 113)", "response": "[Generated response for planner - scenario 113]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
114
+ {"instruction": "Solve problems related to planner domain expertise (scenario 114)", "response": "[Generated response for planner - scenario 114]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
115
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 115)", "response": "[Generated response for planner - scenario 115]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
116
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 116)", "response": "[Generated response for planner - scenario 116]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
117
+ {"instruction": "Explain key concepts and best practices for planner (scenario 117)", "response": "[Generated response for planner - scenario 117]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
118
+ {"instruction": "Solve problems related to planner domain expertise (scenario 118)", "response": "[Generated response for planner - scenario 118]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
119
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 119)", "response": "[Generated response for planner - scenario 119]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
120
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 120)", "response": "[Generated response for planner - scenario 120]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
121
+ {"instruction": "Explain key concepts and best practices for planner (scenario 121)", "response": "[Generated response for planner - scenario 121]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
122
+ {"instruction": "Solve problems related to planner domain expertise (scenario 122)", "response": "[Generated response for planner - scenario 122]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
123
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 123)", "response": "[Generated response for planner - scenario 123]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
124
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 124)", "response": "[Generated response for planner - scenario 124]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
125
+ {"instruction": "Explain key concepts and best practices for planner (scenario 125)", "response": "[Generated response for planner - scenario 125]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
126
+ {"instruction": "Solve problems related to planner domain expertise (scenario 126)", "response": "[Generated response for planner - scenario 126]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
127
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 127)", "response": "[Generated response for planner - scenario 127]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
128
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 128)", "response": "[Generated response for planner - scenario 128]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
129
+ {"instruction": "Explain key concepts and best practices for planner (scenario 129)", "response": "[Generated response for planner - scenario 129]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
130
+ {"instruction": "Solve problems related to planner domain expertise (scenario 130)", "response": "[Generated response for planner - scenario 130]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
131
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 131)", "response": "[Generated response for planner - scenario 131]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
132
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 132)", "response": "[Generated response for planner - scenario 132]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
133
+ {"instruction": "Explain key concepts and best practices for planner (scenario 133)", "response": "[Generated response for planner - scenario 133]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
134
+ {"instruction": "Solve problems related to planner domain expertise (scenario 134)", "response": "[Generated response for planner - scenario 134]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
135
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 135)", "response": "[Generated response for planner - scenario 135]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
136
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 136)", "response": "[Generated response for planner - scenario 136]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
137
+ {"instruction": "Explain key concepts and best practices for planner (scenario 137)", "response": "[Generated response for planner - scenario 137]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
138
+ {"instruction": "Solve problems related to planner domain expertise (scenario 138)", "response": "[Generated response for planner - scenario 138]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
139
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 139)", "response": "[Generated response for planner - scenario 139]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
140
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 140)", "response": "[Generated response for planner - scenario 140]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
141
+ {"instruction": "Explain key concepts and best practices for planner (scenario 141)", "response": "[Generated response for planner - scenario 141]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
142
+ {"instruction": "Solve problems related to planner domain expertise (scenario 142)", "response": "[Generated response for planner - scenario 142]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
143
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 143)", "response": "[Generated response for planner - scenario 143]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
144
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 144)", "response": "[Generated response for planner - scenario 144]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
145
+ {"instruction": "Explain key concepts and best practices for planner (scenario 145)", "response": "[Generated response for planner - scenario 145]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
146
+ {"instruction": "Solve problems related to planner domain expertise (scenario 146)", "response": "[Generated response for planner - scenario 146]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
147
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 147)", "response": "[Generated response for planner - scenario 147]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
148
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 148)", "response": "[Generated response for planner - scenario 148]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
149
+ {"instruction": "Explain key concepts and best practices for planner (scenario 149)", "response": "[Generated response for planner - scenario 149]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
150
+ {"instruction": "Solve problems related to planner domain expertise (scenario 150)", "response": "[Generated response for planner - scenario 150]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
151
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 151)", "response": "[Generated response for planner - scenario 151]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
152
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 152)", "response": "[Generated response for planner - scenario 152]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
153
+ {"instruction": "Explain key concepts and best practices for planner (scenario 153)", "response": "[Generated response for planner - scenario 153]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
154
+ {"instruction": "Solve problems related to planner domain expertise (scenario 154)", "response": "[Generated response for planner - scenario 154]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
155
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 155)", "response": "[Generated response for planner - scenario 155]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
156
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 156)", "response": "[Generated response for planner - scenario 156]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
157
+ {"instruction": "Explain key concepts and best practices for planner (scenario 157)", "response": "[Generated response for planner - scenario 157]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
158
+ {"instruction": "Solve problems related to planner domain expertise (scenario 158)", "response": "[Generated response for planner - scenario 158]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
159
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 159)", "response": "[Generated response for planner - scenario 159]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
160
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 160)", "response": "[Generated response for planner - scenario 160]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
161
+ {"instruction": "Explain key concepts and best practices for planner (scenario 161)", "response": "[Generated response for planner - scenario 161]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
162
+ {"instruction": "Solve problems related to planner domain expertise (scenario 162)", "response": "[Generated response for planner - scenario 162]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
163
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 163)", "response": "[Generated response for planner - scenario 163]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
164
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 164)", "response": "[Generated response for planner - scenario 164]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
165
+ {"instruction": "Explain key concepts and best practices for planner (scenario 165)", "response": "[Generated response for planner - scenario 165]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
166
+ {"instruction": "Solve problems related to planner domain expertise (scenario 166)", "response": "[Generated response for planner - scenario 166]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
167
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 167)", "response": "[Generated response for planner - scenario 167]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
168
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 168)", "response": "[Generated response for planner - scenario 168]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
169
+ {"instruction": "Explain key concepts and best practices for planner (scenario 169)", "response": "[Generated response for planner - scenario 169]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
170
+ {"instruction": "Solve problems related to planner domain expertise (scenario 170)", "response": "[Generated response for planner - scenario 170]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
171
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 171)", "response": "[Generated response for planner - scenario 171]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
172
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 172)", "response": "[Generated response for planner - scenario 172]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
173
+ {"instruction": "Explain key concepts and best practices for planner (scenario 173)", "response": "[Generated response for planner - scenario 173]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
174
+ {"instruction": "Solve problems related to planner domain expertise (scenario 174)", "response": "[Generated response for planner - scenario 174]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
175
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 175)", "response": "[Generated response for planner - scenario 175]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
176
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 176)", "response": "[Generated response for planner - scenario 176]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
177
+ {"instruction": "Explain key concepts and best practices for planner (scenario 177)", "response": "[Generated response for planner - scenario 177]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
178
+ {"instruction": "Solve problems related to planner domain expertise (scenario 178)", "response": "[Generated response for planner - scenario 178]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
179
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 179)", "response": "[Generated response for planner - scenario 179]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
180
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 180)", "response": "[Generated response for planner - scenario 180]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
181
+ {"instruction": "Explain key concepts and best practices for planner (scenario 181)", "response": "[Generated response for planner - scenario 181]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
182
+ {"instruction": "Solve problems related to planner domain expertise (scenario 182)", "response": "[Generated response for planner - scenario 182]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
183
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 183)", "response": "[Generated response for planner - scenario 183]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
184
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 184)", "response": "[Generated response for planner - scenario 184]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
185
+ {"instruction": "Explain key concepts and best practices for planner (scenario 185)", "response": "[Generated response for planner - scenario 185]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
186
+ {"instruction": "Solve problems related to planner domain expertise (scenario 186)", "response": "[Generated response for planner - scenario 186]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
187
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 187)", "response": "[Generated response for planner - scenario 187]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
188
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 188)", "response": "[Generated response for planner - scenario 188]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
189
+ {"instruction": "Explain key concepts and best practices for planner (scenario 189)", "response": "[Generated response for planner - scenario 189]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
190
+ {"instruction": "Solve problems related to planner domain expertise (scenario 190)", "response": "[Generated response for planner - scenario 190]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
191
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 191)", "response": "[Generated response for planner - scenario 191]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
192
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 192)", "response": "[Generated response for planner - scenario 192]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
193
+ {"instruction": "Explain key concepts and best practices for planner (scenario 193)", "response": "[Generated response for planner - scenario 193]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
194
+ {"instruction": "Solve problems related to planner domain expertise (scenario 194)", "response": "[Generated response for planner - scenario 194]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
195
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 195)", "response": "[Generated response for planner - scenario 195]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
196
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 196)", "response": "[Generated response for planner - scenario 196]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
197
+ {"instruction": "Explain key concepts and best practices for planner (scenario 197)", "response": "[Generated response for planner - scenario 197]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
198
+ {"instruction": "Solve problems related to planner domain expertise (scenario 198)", "response": "[Generated response for planner - scenario 198]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
199
+ {"instruction": "Provide guidance and recommendations for planner scenarios (scenario 199)", "response": "[Generated response for planner - scenario 199]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}
200
+ {"instruction": "Analyze and optimize planner processes and workflows (scenario 200)", "response": "[Generated response for planner - scenario 200]\n\nThis is a synthetic training example for the planner agent. In a real implementation, this would contain detailed domain-specific knowledge and expertise for expert_cells tasks.", "agent_type": "planner", "source": "synthetic_generation", "category": "expert_cells"}