44 lines
1.3 KiB
JSON
44 lines
1.3 KiB
JSON
{
|
|
"traces": [],
|
|
"train": [],
|
|
"demos": [],
|
|
"signature": {
|
|
"instructions": "Classify an email as spam or not spam based on its subject and body.\n\nInstructions:\n1. Read the subject and body of the email carefully.\n2. Look for common spam indicators: urgency, suspicious links, unsolicited offers,\n misleading sender info, or requests for personal information.\n3. Output \"spam\" if the email is spam, or \"not spam\" if it is legitimate.",
|
|
"fields": [
|
|
{
|
|
"prefix": "Subject:",
|
|
"description": "The email subject line"
|
|
},
|
|
{
|
|
"prefix": "Body:",
|
|
"description": "The email body text"
|
|
},
|
|
{
|
|
"prefix": "Reasoning:",
|
|
"description": "Your reasoning for your answer. Inlude any uncertainties about your answer or ambiguity in the task."
|
|
},
|
|
{
|
|
"prefix": "Is Spam:",
|
|
"description": "Whether the email is spam: 'spam' or 'not spam'"
|
|
}
|
|
]
|
|
},
|
|
"lm": {
|
|
"model": "together_ai/openai/gpt-oss-120b",
|
|
"model_type": "chat",
|
|
"cache": true,
|
|
"num_retries": 3,
|
|
"finetuning_model": null,
|
|
"launch_kwargs": {},
|
|
"train_kwargs": {},
|
|
"temperature": null,
|
|
"max_tokens": null
|
|
},
|
|
"metadata": {
|
|
"dependency_versions": {
|
|
"python": "3.13",
|
|
"dspy": "3.1.3",
|
|
"cloudpickle": "3.1"
|
|
}
|
|
}
|
|
} |