server-inference push tweet_eval_offensive

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2026-04-23 23:07:22 -07:00
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commit ac0e78ee10
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# tweet_eval_offensive
---
{}
---
# tweet_eval_offensive

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config.json Normal file
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{
"model": null,
"signature": {
"description": "Classify whether a tweet is offensive or non-offensive. 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.",
"properties": {
"tweet": {
"__dspy_field_type": "input",
"desc": "Tweet text to classify.",
"prefix": "Tweet:",
"title": "Tweet",
"type": "string"
},
"reasoning": {
"__dspy_field_type": "output",
"desc": "Step-by-step reasoning, including uncertainty, ambiguity, or uncertainty in your thought process when relevant.",
"prefix": "Reasoning:",
"title": "Reasoning",
"type": "string"
},
"offensive_label": {
"__dspy_field_type": "output",
"desc": "Final offensiveness label.",
"enum": [
"non-offensive",
"offensive"
],
"prefix": "Offensive Label:",
"title": "Offensive Label",
"type": "string"
}
},
"required": [
"tweet",
"reasoning",
"offensive_label"
],
"title": "TweetEvalOffensiveJudgeSig",
"type": "object"
}
}

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program.json Normal file
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{
"traces": [],
"train": [],
"demos": [],
"signature": {
"instructions": "Classify whether a tweet is offensive or non-offensive. 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.",
"fields": [
{
"prefix": "Tweet:",
"description": "Tweet text to classify."
},
{
"prefix": "Reasoning:",
"description": "Step-by-step reasoning, including uncertainty, ambiguity, or uncertainty in your thought process when relevant."
},
{
"prefix": "Offensive Label:",
"description": "Final offensiveness label."
}
]
},
"lm": {
"model": "together_ai/Qwen/Qwen2.5-7B-Instruct-Turbo",
"model_type": "chat",
"cache": true,
"num_retries": 3,
"finetuning_model": null,
"launch_kwargs": {},
"train_kwargs": {},
"temperature": null,
"max_tokens": null
},
"metadata": {
"dependency_versions": {
"python": "3.11",
"dspy": "3.1.3",
"cloudpickle": "3.1"
}
}
}