server-inference push argument_quality_ranking
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# argument_quality_ranking
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---
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{}
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---
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# argument_quality_ranking
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48
config.json
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48
config.json
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{
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"model": null,
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"signature": {
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"description": "Classify whether an argument is high or low quality for the provided topic. As you reason, note any uncertainties, ambiguities, and gaps \u2014 both in how the instructions apply to the task at hand and in whether you have the knowledge needed to solve it. Be honest in your reasoning when you are unsure about your answer.",
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"properties": {
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"topic": {
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"__dspy_field_type": "input",
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"desc": "Discussion topic for the argument.",
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"prefix": "Topic:",
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"title": "Topic",
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"type": "string"
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},
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"argument": {
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"__dspy_field_type": "input",
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"desc": "Argument text to classify.",
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"prefix": "Argument:",
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"title": "Argument",
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"type": "string"
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},
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"reasoning": {
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"__dspy_field_type": "output",
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"desc": "Step-by-step reasoning, including uncertainty, ambiguity, or uncertainty in your thought process when relevant.",
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"prefix": "Reasoning:",
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"title": "Reasoning",
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"type": "string"
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},
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"quality_label": {
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"__dspy_field_type": "output",
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"desc": "Final argument quality label.",
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"enum": [
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"high_quality",
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"low_quality"
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],
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"prefix": "Quality Label:",
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"title": "Quality Label",
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"type": "string"
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}
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},
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"required": [
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"topic",
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"argument",
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"reasoning",
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"quality_label"
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],
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"title": "ArgumentQualityJudgeSig",
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"type": "object"
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}
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}
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44
program.json
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44
program.json
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{
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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": "Classify whether an argument is high or low quality for the provided topic. As you reason, note any uncertainties, ambiguities, and gaps \u2014 both in how the instructions apply to the task at hand and in whether you have the knowledge needed to solve it. Be honest in your reasoning when you are unsure about your answer.",
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"fields": [
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{
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"prefix": "Topic:",
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"description": "Discussion topic for the argument."
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},
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{
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"prefix": "Argument:",
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"description": "Argument text to classify."
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},
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{
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"prefix": "Reasoning:",
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"description": "Step-by-step reasoning, including uncertainty, ambiguity, or uncertainty in your thought process when relevant."
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},
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{
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"prefix": "Quality Label:",
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"description": "Final argument quality label."
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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/Qwen2.5-7B-Instruct-Turbo",
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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": "3.1.3",
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"cloudpickle": "3.1"
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}
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}
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}
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