44 lines
1.6 KiB
JSON
44 lines
1.6 KiB
JSON
{
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"traces": [],
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"train": [],
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"demos": [],
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"signature": {
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"instructions": "Given a review title and content, determine the overall sentiment.\n\nTask: Analyze the text to determine if the reviewer has a positive or negative\nopinion about the product/service.\n\n- positive: The review expresses satisfaction, appreciation, or a favorable view\n- negative: The review expresses dissatisfaction, criticism, or an unfavorable view\n\nConsider:\n1. Overall tone and emotional language\n2. Whether the reviewer recommends the product\n3. Specific praise or complaints mentioned\n\nFirst reason through your thought process in the `reasoning` field.\nBe sure to verbalize any uncertainty in your thought process.\nThen output your conclusion in the `label` field.",
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"fields": [
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{
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"prefix": "Title:",
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"description": "The title of the review"
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},
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{
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"prefix": "Content:",
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"description": "The full review text/content"
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},
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{
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"prefix": "Reasoning:",
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"description": "Your step by step reasoning for the sentiment classification. Verbalize uncertainty."
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},
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{
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"prefix": "Label:",
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"description": "The sentiment: 'positive' or 'negative'"
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}
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]
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},
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"lm": {
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"model": "together_ai/Qwen/Qwen3-VL-32B-Instruct",
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"model_type": "chat",
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"cache": true,
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"num_retries": 3,
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"finetuning_model": null,
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"launch_kwargs": {},
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"train_kwargs": {},
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"temperature": null,
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"max_tokens": null
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},
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"metadata": {
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"dependency_versions": {
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"python": "3.11",
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"dspy": "3.1.2",
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"cloudpickle": "3.1"
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}
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}
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} |