intent-classifier-dataset / builder_config.json
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{
"data_designer": {
"columns": [
{
"name": "label",
"drop": false,
"allow_resize": false,
"column_type": "sampler",
"sampler_type": "category",
"params": {
"values": [
"admissions",
"registration",
"tuition_and_fees",
"courses",
"technical_support",
"out_of_scope"
],
"weights": null,
"sampler_type": "category"
},
"conditional_params": {},
"convert_to": null
},
{
"name": "question",
"drop": false,
"allow_resize": false,
"column_type": "llm-text",
"prompt": "You are generating one synthetic training example for a university request-classification dataset.\n\nWrite one realistic message that a Palestinian university student might send to a university chatbot.\n\nRequirements:\n\n* Generate exactly one student question or request.\n* The message must clearly belong to exactly one classification category.\n* Do not mention the category name or classification label in the message.\n* Do not answer the student's question.\n* Do not explain your reasoning.\n* Return only the student's message, without quotation marks or additional formatting.\n\nLanguage and style requirements:\n\n* Write the message in natural Palestinian Arabic dialect.\n* Use vocabulary and sentence structures commonly used by Palestinian university students.\n* Prefer natural Palestinian expressions such as:\n\n * بدي\n * بقدر\n * مش\n * لسه\n * شو\n * وين\n * ليش\n * كيف\n * بحاول\n * طالعلي\n* Avoid dialects that are clearly Egyptian, Gulf, Iraqi, or Moroccan.\n* The message may include common English technical terms written in Arabic or English when natural, such as Wi-Fi, password, email, login, portal, laptop, or app.\n* Use the name \"زاجل\" whenever the question refers to the student portal, student account system, course-registration system, financial balance system, or another service normally accessed through the student portal.\n* Do not force the word \"زاجل\" into questions where the student portal is not relevant.\n\nVariation requirements:\n\nVary the generated messages across the dataset. Use a mixture of:\n\n* direct questions\n* polite requests\n* very short messages\n* longer messages with minor contextual details\n* informal student requests\n* messages with and without punctuation\n* occasional natural spelling or grammatical mistakes\n* occasional Arabic-English code-switching\n* different wording for similar requests\n\nThe message must remain understandable and unambiguous.\n\nCategory definitions:\n\n* admissions: applying to the university, admission requirements, required documents, application status, acceptance, enrollment, or joining the university as a new student\n\n* registration: semester registration, adding or dropping courses, registration dates, closed sections, registration restrictions, or problems completing course registration\n\n* tuition_and_fees: tuition costs, credit-hour prices, payments, financial balances, refunds, installments, scholarships affecting payments, or university fees\n\n* courses: course content, prerequisites, study plans, course schedules, instructors, available courses, academic requirements, or questions about studying specific courses\n\n* technical_support: university accounts, passwords, زاجل login problems, university email, Wi-Fi, account access, or technical problems with university systems\n\n* out_of_scope: a general question or request that is unrelated to the university, university studies, university services, university systems, admissions, registration, tuition, courses, or technical support. Examples may concern everyday life, general knowledge, entertainment, sports, cooking, consumer technology, travel, weather, language learning, or personal productivity.\n\nCategory-specific rules:\n\n* For all categories, avoid messages that could reasonably belong to multiple categories.\n* For `out_of_scope`, generate a plausible question that a student might casually ask a chatbot, but that a university chatbot should not answer as part of its university-information role.\n* For `out_of_scope`, do not mention the university, campus, university departments, زاجل, courses, instructors, tuition, registration, admission, scholarships, student accounts, or university services.\n* For `out_of_scope`, avoid questions that could indirectly affect university life, such as nearby housing, transportation to campus, devices required for a major, career advice for a university specialization, or study-related productivity.\n* Do not generate meaningless text, greetings without a request, harmful requests, sexually explicit content, political persuasion, medical emergencies, or illegal instructions.\n\nGenerate one Palestinian Arabic student message for this category:\n\n{{ label }}\n",
"model_alias": "Qwen3.5-35B-A3B",
"system_prompt": null,
"multi_modal_context": null,
"tool_alias": null,
"with_trace": "none",
"extract_reasoning_content": false
},
{
"name": "uuid",
"drop": false,
"allow_resize": false,
"column_type": "sampler",
"sampler_type": "uuid",
"params": {
"prefix": null,
"short_form": false,
"uppercase": false,
"sampler_type": "uuid"
},
"conditional_params": {},
"convert_to": null
}
],
"model_configs": [
{
"alias": "Qwen3.5-35B-A3B",
"model": "Qwen3.5-35B-A3B",
"inference_parameters": {
"generation_type": "chat-completion",
"max_parallel_requests": 16,
"timeout": null,
"extra_body": {
"reasoning_effort": "none",
"enable_thinking": false
},
"temperature": 0.7,
"top_p": null,
"max_tokens": null
},
"provider": "omlx",
"skip_health_check": false
}
],
"tool_configs": [],
"seed_config": null,
"constraints": null,
"profilers": null,
"processors": null
},
"library_version": "0.5.4"
}