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fixing tasks order
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@@ -50,11 +50,12 @@ def test_evaluate_training_data(converter_mock):
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text="Assess the quality of the training data based on the llm output, human feedback , and llm "
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"output improved result.\n\nInitial Output:\nInitial output 1\n\nHuman Feedback:\nHuman feedback "
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"1\n\nImproved Output:\nImproved output 1\n\nInitial Output:\nInitial output 2\n\nHuman "
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"Feedback:\nHuman feedback 2\n\nImproved Output:\nImproved output 2\n\nPlease provide:\n- "
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"Based on the Human Feedbacks and the comparison between Initial Outputs and Improved outputs "
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"provide action items based on human_feedback for future tasks\n- A score from 0 to 10 evaluating "
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"on completion, quality, and overall performance from the improved output to the initial output "
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"based on the human feedback\n",
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"Feedback:\nHuman feedback 2\n\nImproved Output:\nImproved output 2\n\nPlease provide:\n- Provide "
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"a list of clear, actionable instructions derived from the Human Feedbacks to enhance the Agent's "
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"performance. Analyze the differences between Initial Outputs and Improved Outputs to generate specific "
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"action items for future tasks. Ensure all key and specificpoints from the human feedback are "
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"incorporated into these instructions.\n- A score from 0 to 10 evaluating on completion, quality, and "
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"overall performance from the improved output to the initial output based on the human feedback\n",
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model=TrainingTaskEvaluation,
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instructions="I'm gonna convert this raw text into valid JSON.\n\nThe json should have the "
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"following structure, with the following keys:\n{\n suggestions: List[str],\n quality: float,\n final_summary: str\n}",
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