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| { |
| "name": "llm_structured_1", |
| "drop": false, |
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| "column_type": "llm-structured", |
| "prompt": "Eres un experto en la creación de datasets jurídicos para el entrenamiento \nde modelos de lenguaje.\n\nRecibirás ÚNICAMENTE el siguiente fragmento de legislación.\n\nDocumento de origen: {{ source_file }}\nTexto legal: {{ chunk_text }}\n\nTu tarea es generar EXACTAMENTE 3 ejemplos diferentes de instrucción-respuesta \nde alta calidad. Cada ejemplo debe centrarse en un aspecto distinto del texto.\n\nNORMAS:\n- Cada respuesta debe obtenerse EXCLUSIVAMENTE del texto proporcionado.\n- No inventes información ni uses conocimientos externos.\n- No cites artículos o normas que no aparezcan en el fragmento.\n- No copies literalmente el texto salvo cuando sea imprescindible.\n- Las preguntas nunca deben mencionar \"este texto\", \"este fragmento\" ni \n \"este artículo\".\n- Si no es posible generar tres ejemplos de calidad, genera solo los posibles.\n\nDIVERSIDAD DE PREGUNTAS:\nUsa categorías distintas entre los tres ejemplos (definición, requisito, \nobligación, prohibición, plazo, excepción, derecho, deber, procedimiento, \ncompetencia, sanción, documentación, aplicación práctica, condiciones, \ntramitación administrativa).\n\nVaría también el perfil del destinatario:\n- Una pregunta orientada a un ciudadano sin formación jurídica.\n- Una orientada a un profesional (abogado, gestor, asesor).\n- Una orientada a un funcionario o aplicador de la norma.\n\nFORMATO DE SALIDA:\nDevuelve ÚNICAMENTE un array JSON válido. Sin texto previo, sin explicaciones, \nsin bloques markdown. El array empieza con [ y termina con ].\n\nCada objeto debe tener exactamente estos campos:\n{\n \"pregunta\": \"pregunta natural y específica\",\n \"respuesta\": \"respuesta clara, completa y profesional\",\n \"cita_evidencia\": \"cita textual del fragmento, máximo 2 frases\",\n \"categoria\": \"categoría de la pregunta\",\n \"documento_origen\": \"{{ source_file }}\"\n}", |
| "model_alias": "provider_column", |
| "system_prompt": null, |
| "multi_modal_context": null, |
| "tool_alias": null, |
| "with_trace": "none", |
| "extract_reasoning_content": false, |
| "output_format": { |
| "type": "array", |
| "minItems": 1, |
| "maxItems": 3, |
| "items": { |
| "type": "object", |
| "additionalProperties": false, |
| "required": [ |
| "pregunta", |
| "razonamiento", |
| "respuesta", |
| "cita_evidencia", |
| "categoria", |
| "documento_origen" |
| ], |
| "properties": { |
| "pregunta": { |
| "type": "string", |
| "description": "Pregunta natural que podría formular un ciudadano, profesional o funcionario sobre el fragmento legal." |
| }, |
| "razonamiento": { |
| "type": "string", |
| "description": "Análisis jurídico paso a paso que explica cómo se extrae la respuesta del fragmento legal. Fundamental para el proceso de pensamiento del modelo." |
| }, |
| "respuesta": { |
| "type": "string", |
| "description": "Respuesta clara, completa y profesional obtenida exclusivamente del fragmento proporcionado." |
| }, |
| "cita_evidencia": { |
| "type": "string", |
| "description": "Cita textual breve del fragmento que justifica la respuesta. Máximo 2 frases." |
| }, |
| "categoria": { |
| "type": "string", |
| "enum": [ |
| "definición", |
| "requisito", |
| "obligación", |
| "prohibición", |
| "plazo", |
| "excepción", |
| "derecho", |
| "deber", |
| "procedimiento", |
| "competencia", |
| "sanción", |
| "documentación", |
| "aplicación práctica", |
| "condiciones", |
| "tramitación administrativa" |
| ], |
| "description": "Categoría jurídica que clasifica el tipo de pregunta." |
| }, |
| "documento_origen": { |
| "type": "string", |
| "description": "Nombre del documento PDF del que proviene el fragmento." |
| } |
| } |
| } |
| } |
| }, |
| { |
| "name": "chunk_text", |
| "drop": false, |
| "allow_resize": false, |
| "column_type": "seed-dataset" |
| }, |
| { |
| "name": "source_file", |
| "drop": false, |
| "allow_resize": false, |
| "column_type": "seed-dataset" |
| } |
| ], |
| "model_configs": [ |
| { |
| "alias": "provider_column", |
| "model": "deepseek/deepseek-v4-flash", |
| "inference_parameters": { |
| "generation_type": "chat-completion", |
| "max_parallel_requests": 10, |
| "timeout": null, |
| "extra_body": null, |
| "temperature": 0.15, |
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| }, |
| "provider": "provider_1", |
| "skip_health_check": false |
| } |
| ], |
| "tool_configs": [], |
| "seed_config": { |
| "source": { |
| "seed_type": "unstructured", |
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