Datasets:
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"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}",
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