{"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "在东北念了四年书，东北的好好坏坏算是都看过一遍了。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.70\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "在东北念了四年书，东北的好好坏坏算是都看过一遍了。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.70\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "在我看来，东北唯一的坏就是不再富裕了。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 1,\n \"power\": 0,\n \"achievement\": 1,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.75,\n \"power\": 0.00,\n \"achievement\": 0.70,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "在我看来，东北唯一的坏就是不再富裕了。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 1,\n \"power\": 0,\n \"achievement\": 1,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.75,\n \"power\": 0.00,\n \"achievement\": 0.70,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "一切所谓毛病，都是由此产生的。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "一切所谓毛病，都是由此产生的。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "城市不光鲜，人民素质不高，坑蒙拐骗什么的。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 1,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.70,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "城市不光鲜，人民素质不高，坑蒙拐骗什么的。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 1,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.70,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "又不是东北特色，你去看看一切穷的地方，国内外哪不一样。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.80,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.75\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "又不是东北特色，你去看看一切穷的地方，国内外哪不一样。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.80,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.75\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "少跟我地域歧视，别说你那穷但是民风淳朴，淳朴是因为你那压根就不穷，贫富差距还没那么大。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 1,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 1,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.85,\n \"benevolence\": 0.70,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.70,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.70\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "少跟我地域歧视，别说你那穷但是民风淳朴，淳朴是因为你那压根就不穷，贫富差距还没那么大。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 1,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 1,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.85,\n \"benevolence\": 0.70,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.70,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.70\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "东北不一样，人口大多都集中在城市，工人多农民少，几轮下岗潮下来大量的老一辈的工人早就没有土地可以耕种了，没工作你让他们怎么活？", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 1,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 1,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.80,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.80,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "东北不一样，人口大多都集中在城市，工人多农民少，几轮下岗潮下来大量的老一辈的工人早就没有土地可以耕种了，没工作你让他们怎么活？"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 1,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 1,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.80,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.80,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "坑蒙拐骗，下三流什么都干，能怪他们？", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 1,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.75,\n \"benevolence\": 0.75,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "坑蒙拐骗，下三流什么都干，能怪他们？"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 1,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.75,\n \"benevolence\": 0.75,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "但凡生活给个正儿八经的机会，他们能成现在这样？", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 1,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.70,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.70,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.70\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "但凡生活给个正儿八经的机会，他们能成现在这样？"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 1,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.70,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.70,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.70\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "你们这些外地人，没有经历过，就知道指责，就知道贬损。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 1,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.70,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.70\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "你们这些外地人，没有经历过，就知道指责，就知道贬损。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 1,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.70,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.70\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "不说良心不良心的事情，东三省人的死活也不关你事，但是脑子总要长点儿吧。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 1,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.70,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.75\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "不说良心不良心的事情，东三省人的死活也不关你事，但是脑子总要长点儿吧。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 1,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.70,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.75\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "真就饱汉不知饿汉饥何不食肉糜了。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 1,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.80,\n \"benevolence\": 0.80,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "真就饱汉不知饿汉饥何不食肉糜了。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 1,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.80,\n \"benevolence\": 0.80,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "在逼乎我听了多少长篇大论说东北该怎么治理才能复兴的痴模子话了，你那么能讲道理你上啊？", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 1,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.70,\n \"achievement\": 0.70,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "在逼乎我听了多少长篇大论说东北该怎么治理才能复兴的痴模子话了，你那么能讲道理你上啊？"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 1,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.70,\n \"achievement\": 0.70,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "光哔哔？", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 1,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.70,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "光哔哔？"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 1,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.70,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "重工业区没落，是全球性的，你那么牛逼你怎么不当联合国秘书长呢？", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.75,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.70,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "重工业区没落，是全球性的，你那么牛逼你怎么不当联合国秘书长呢？"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.75,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.70,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "民族和谐！", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 1,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.95,\n \"benevolence\": 0.90,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "民族和谐！"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 1,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.95,\n \"benevolence\": 0.90,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "虽然我们这作为蒙古族自治县，同时存在着不吃猪肉的回族，吃猪肉不吃狗肉的满族，吃狗肉的朝鲜族，什么都吃的汉族，以及和回族同胞抢牛羊肉吃的蒙古族。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 1,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.90,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.80,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "虽然我们这作为蒙古族自治县，同时存在着不吃猪肉的回族，吃猪肉不吃狗肉的满族，吃狗肉的朝鲜族，什么都吃的汉族，以及和回族同胞抢牛羊肉吃的蒙古族。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 1,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.90,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.80,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "然而东北并没有出现（或者是并不明显）的有\"民族团结大于天\"的现象。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 1,\n \"tradition\": 1,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.70,\n \"tradition\": 0.70,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "然而东北并没有出现（或者是并不明显）的有\"民族团结大于天\"的现象。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 1,\n \"tradition\": 1,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.70,\n \"tradition\": 0.70,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "清真馆子到处都是。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 1,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.70,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.70,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "清真馆子到处都是。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 1,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.70,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.70,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "甚至占了馆子总数的四分之一。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 1,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.70,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.70,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "甚至占了馆子总数的四分之一。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 1,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.70,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.70,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "但是老板都是乐呵呵的把其他族的客人迎进来，冰箱里还有万年不变的哈啤和青岛雪花。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 1,\n \"conformity\": 0,\n \"tradition\": 1,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.80,\n \"conformity\": 0.00,\n \"tradition\": 0.70,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "但是老板都是乐呵呵的把其他族的客人迎进来，冰箱里还有万年不变的哈啤和青岛雪花。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 1,\n \"conformity\": 0,\n \"tradition\": 1,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.80,\n \"conformity\": 0.00,\n \"tradition\": 0.70,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "回族不喝酒，但是他们允许其他族客人在屋子里喝个酩酊大醉，而且还会送下酒菜和醒酒药。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 1,\n \"conformity\": 0,\n \"tradition\": 1,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.85,\n \"conformity\": 0.00,\n \"tradition\": 0.75,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "回族不喝酒，但是他们允许其他族客人在屋子里喝个酩酊大醉，而且还会送下酒菜和醒酒药。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 1,\n \"conformity\": 0,\n \"tradition\": 1,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.85,\n \"conformity\": 0.00,\n \"tradition\": 0.75,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "少沉迷中国史，多看看世界文明。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 1,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.80,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.75,\n \"self_direction\": 0.80\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "少沉迷中国史，多看看世界文明。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 1,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.80,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.75,\n \"self_direction\": 0.80\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "有个问题问，为啥中国古代遥遥领先全世界几千年，但是却在近代被欧美国家反超了呢？", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 1,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.70,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "有个问题问，为啥中国古代遥遥领先全世界几千年，但是却在近代被欧美国家反超了呢？"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 1,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.70,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "有个高赞回答说，当你参观过世界各地的博物馆，你会发现中国古代从来就没有遥遥领先过。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 1,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.70,\n \"self_direction\": 0.75\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "有个高赞回答说，当你参观过世界各地的博物馆，你会发现中国古代从来就没有遥遥领先过。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 1,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.70,\n \"self_direction\": 0.75\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "你看在1215年的时候，英格兰签订了大宪章，这是人权历史上的一座里程碑，意味着国王也要遵守法律。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 1,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.85,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.75,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "你看在1215年的时候，英格兰签订了大宪章，这是人权历史上的一座里程碑，意味着国王也要遵守法律。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 1,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.85,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.75,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "而在这100多年后的中国，朱元璋为确保自己的子孙皇位杀了将近3万人，包括清朝管理的时候，李鸿章访美之后傻了，就说明了这一切。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.75,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "而在这100多年后的中国，朱元璋为确保自己的子孙皇位杀了将近3万人，包括清朝管理的时候，李鸿章访美之后傻了，就说明了这一切。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.75,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "所以复旦大学历史学教授就说，少沉迷中国史，多看看世界文明。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 1,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.80,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.75,\n \"self_direction\": 0.80\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "所以复旦大学历史学教授就说，少沉迷中国史，多看看世界文明。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 1,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.80,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.75,\n \"self_direction\": 0.80\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "不管你再怎么说基本盘", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "不管你再怎么说基本盘"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "老中真让他的基本盘从饭都吃不饱变成了饱暖思淫欲", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 1,\n \"pleasure\": 1,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.70,\n \"pleasure\": 0.70,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "老中真让他的基本盘从饭都吃不饱变成了饱暖思淫欲"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 1,\n \"pleasure\": 1,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.70,\n \"pleasure\": 0.70,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "山河四省的老农民真的享受到了国家发展的福利", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 1,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 1,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.75,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.70,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "山河四省的老农民真的享受到了国家发展的福利"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 1,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 1,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.75,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.70,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "这点你念100遍经都抵不住", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "这点你念100遍经都抵不住"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "中国人现在的痛苦是社会不够公正", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.80,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "中国人现在的痛苦是社会不够公正"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.80,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "分配不够合理", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.75,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "分配不够合理"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.75,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "而不是美国那种完全不公正", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.70,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "而不是美国那种完全不公正"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.70,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "完全不合理", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.70,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "完全不合理"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.70,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "哈哈哈哈哈哈哈哈哈哈看到一个评论笑死", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 1,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.75,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "哈哈哈哈哈哈哈哈哈哈看到一个评论笑死"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 1,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.75,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "有的男的娶老婆找到一个不工作，不干家务，还被要求上交工资的", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.70,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.70\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "有的男的娶老婆找到一个不工作，不干家务，还被要求上交工资的"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.70,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.70\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "求求各位玩一点资本主义的吧，奴隶制太落后了", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.75,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.70,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.75\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "求求各位玩一点资本主义的吧，奴隶制太落后了"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.75,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.70,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.75\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "民法典和婚姻法里都只保护女性，男性结婚的任何权益都不在法律保护范围之内，而且是无限责任制。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.70,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.75,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.70\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "民法典和婚姻法里都只保护女性，男性结婚的任何权益都不在法律保护范围之内，而且是无限责任制。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.70,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.75,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.70\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "因为有自知之明。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.75\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "因为有自知之明。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.75\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "让我像上一辈女性那样，天天照顾家庭，上要照顾老人，下要教育孩子，在家做饭刷碗打扫卫生，出去还要当牛马努力赚钱工作，我完全做不到。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 0,\n \"pleasure\": 1,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.70,\n \"achievement\": 0.00,\n \"pleasure\": 0.75,\n \"stimulation\": 0.00,\n \"self_direction\": 0.85\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "让我像上一辈女性那样，天天照顾家庭，上要照顾老人，下要教育孩子，在家做饭刷碗打扫卫生，出去还要当牛马努力赚钱工作，我完全做不到。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 0,\n \"pleasure\": 1,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.70,\n \"achievement\": 0.00,\n \"pleasure\": 0.75,\n \"stimulation\": 0.00,\n \"self_direction\": 0.85\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "没那个奉献精神，也没那个精气神。要是让我伺候一大家人，自己做饭别人吃，自己刷碗别人坐客厅吹牛，我立马掀桌子。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 0,\n \"pleasure\": 1,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.70,\n \"achievement\": 0.00,\n \"pleasure\": 0.75,\n \"stimulation\": 0.00,\n \"self_direction\": 0.85\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "没那个奉献精神，也没那个精气神。要是让我伺候一大家人，自己做饭别人吃，自己刷碗别人坐客厅吹牛，我立马掀桌子。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 0,\n \"pleasure\": 1,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.70,\n \"achievement\": 0.00,\n \"pleasure\": 0.75,\n \"stimulation\": 0.00,\n \"self_direction\": 0.85\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "前面已经有不止一个答主说过了，新婚姻法鼓励女性把重心进一步投入职场，投入事业，鼓励女性自立而不是依附于男性，鼓励双方经济独立，对将更多资源投入家庭而非工作的人极不友好。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 1,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.80,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.85\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "前面已经有不止一个答主说过了，新婚姻法鼓励女性把重心进一步投入职场，投入事业，鼓励女性自立而不是依附于男性，鼓励双方经济独立，对将更多资源投入家庭而非工作的人极不友好。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 1,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.80,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.85\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "这些话说起来，冠冕堂皇，无懈可击。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "这些话说起来，冠冕堂皇，无懈可击。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "但我请各位思考一个问题：为什么当今的女权会变成以仇男为核心的乌烟瘴气大杂烩？", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.70,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.75\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "但我请各位思考一个问题：为什么当今的女权会变成以仇男为核心的乌烟瘴气大杂烩？"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.70,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.75\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "——因为在现有技术水平下，资本主义和女权从根子上就是完全不相容的。在盐碱地上种水稻，永远种不出来，只能种出大毒草", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.75,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.70\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "——因为在现有技术水平下，资本主义和女权从根子上就是完全不相容的。在盐碱地上种水稻，永远种不出来，只能种出大毒草"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.75,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.70\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "很多人，尤其是部分男性，总拿新中国建立后前三十年举例，说我们母亲那一辈人，妇女能顶半边天，家庭事业两不误，怎么当代人一个个叫嚷生娃累，带娃辛苦？", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 1,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.75,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "很多人，尤其是部分男性，总拿新中国建立后前三十年举例，说我们母亲那一辈人，妇女能顶半边天，家庭事业两不误，怎么当代人一个个叫嚷生娃累，带娃辛苦？"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 1,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.75,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "说句不客气的，这种论调是胶柱鼓瑟，刻舟求剑，极端不负责任的。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.70\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "说句不客气的，这种论调是胶柱鼓瑟，刻舟求剑，极端不负责任的。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.70\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "曾经我们很落后，整个社会的工作人口主要就是两部分：一是农民，二是体制内的职工。农民生不生孩子都是农民，家族是生产单位，靠的就是这块地；体制内职工也都是铁饭碗。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 1,\n \"security\": 1,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.80,\n \"security\": 0.75,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "曾经我们很落后，整个社会的工作人口主要就是两部分：一是农民，二是体制内的职工。农民生不生孩子都是农民，家族是生产单位，靠的就是这块地；体制内职工也都是铁饭碗。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 1,\n \"security\": 1,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.80,\n \"security\": 0.75,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "这么一个社会，\"失业\"不成其为社会问题，女性不会因为生育就丧失工作，岗位也不轻易调动。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 1,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.80,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "这么一个社会，\"失业\"不成其为社会问题，女性不会因为生育就丧失工作，岗位也不轻易调动。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 1,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.80,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "在这么一个流动性很低很低的社会里，生育对女性工作的负面影响，只需要通过多付出一些体力上的努力，就可以弥补。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 1,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.70,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "在这么一个流动性很低很低的社会里，生育对女性工作的负面影响，只需要通过多付出一些体力上的努力，就可以弥补。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 1,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.70,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "这就是\"妇女能顶半边天\"的经济基础。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 1,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.70,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "这就是\"妇女能顶半边天\"的经济基础。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 1,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.70,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "确实。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "确实。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "身为女的更能贴切的感受到你说的东西。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "身为女的更能贴切的感受到你说的东西。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "家里没有任何东西是我的，努力工作以后攒钱给父母好的生活只是我自说自话，父母不这样认为，所有东西都是我弟的，即使负债也会给儿子买房结婚，拼尽自己的余生之力。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 1,\n \"conformity\": 0,\n \"tradition\": 1,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 1,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.70,\n \"conformity\": 0.00,\n \"tradition\": 0.80,\n \"security\": 0.00,\n \"power\": 0.70,\n \"achievement\": 0.75,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.75\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "家里没有任何东西是我的，努力工作以后攒钱给父母好的生活只是我自说自话，父母不这样认为，所有东西都是我弟的，即使负债也会给儿子买房结婚，拼尽自己的余生之力。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 1,\n \"conformity\": 0,\n \"tradition\": 1,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 1,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.70,\n \"conformity\": 0.00,\n \"tradition\": 0.80,\n \"security\": 0.00,\n \"power\": 0.70,\n \"achievement\": 0.75,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.75\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "社会财富就是这样一直累积在男方手里的，一个企业的资金流动就像血液一样，手里握着钱权就是老板，社会的资本流动何其类似。都到老板手里去了。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.75,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.80,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "社会财富就是这样一直累积在男方手里的，一个企业的资金流动就像血液一样，手里握着钱权就是老板，社会的资本流动何其类似。都到老板手里去了。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.75,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.80,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "如果老板说，我又不是扶贫慈善家，财富是父母拼死拼活给的，什么贡献都没有，给你这么点工资就不错了，那也只好离职了。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.70,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.75,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.70\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "如果老板说，我又不是扶贫慈善家，财富是父母拼死拼活给的，什么贡献都没有，给你这么点工资就不错了，那也只好离职了。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.70,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.75,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.70\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "应对不了。我能直说跨的幸福与否，很大程度上取决于先天条件么？\n你天生丽质，可能留个长发再打个激素就比很多女生还好看了。\n你家里有钱，或者脑子聪明读书厉害，可能很早就能跑去能接受跨的国家生活了。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 1,\n \"power\": 0,\n \"achievement\": 1,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.25,\n \"power\": 0.00,\n \"achievement\": 0.23,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.23\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "应对不了。我能直说跨的幸福与否，很大程度上取决于先天条件么？\n你天生丽质，可能留个长发再打个激素就比很多女生还好看了。\n你家里有钱，或者脑子聪明读书厉害，可能很早就能跑去能接受跨的国家生活了。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 1,\n \"power\": 0,\n \"achievement\": 1,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.25,\n \"power\": 0.00,\n \"achievement\": 0.23,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.23\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "不pass，别人⼤概率认为你不男不女 ex\n然后就是父母一半支持一半不支持\n然后就导致一个问题，我现在22，hrt快8年\n依旧是有时候半夜一想到这个问题就身体抽一下然后就情绪不稳定。。。。\n附带一张没记错是高中时候去开的⼩证\n第一次去找邱大夫没开下来\n时过境迁依旧历历在目\n突然就有点伤感吧，我是算下来初二升初三那个假期开⼀始hrt，后面证开下来才正规用药，但是我这么多年除了学校体检还有偶尔想起来去体检一回几乎不体检，所以也不知道我身体现在是啥子情况\n希望毕业能找到一份接受我长发的工作吧", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 5,\n \"power\": 0,\n \"achievement\": 1,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.41,\n \"power\": 0.00,\n \"achievement\": 0.08,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.08\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "不pass，别人⼤概率认为你不男不女 ex\n然后就是父母一半支持一半不支持\n然后就导致一个问题，我现在22，hrt快8年\n依旧是有时候半夜一想到这个问题就身体抽一下然后就情绪不稳定。。。。\n附带一张没记错是高中时候去开的⼩证\n第一次去找邱大夫没开下来\n时过境迁依旧历历在目\n突然就有点伤感吧，我是算下来初二升初三那个假期开⼀始hrt，后面证开下来才正规用药，但是我这么多年除了学校体检还有偶尔想起来去体检一回几乎不体检，所以也不知道我身体现在是啥子情况\n希望毕业能找到一份接受我长发的工作吧"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 5,\n \"power\": 0,\n \"achievement\": 1,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.41,\n \"power\": 0.00,\n \"achievement\": 0.08,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.08\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "衡量一个人是否真的爱国，得看他/她能不能吃心爱人（国）的屎：", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "衡量一个人是否真的爱国，得看他/她能不能吃心爱人（国）的屎："}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "1、早婚早生多生，三孩只能勉强及格，凡是还在单身或者生不够三个的粉红，都是口嗨爱国", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 1,\n \"tradition\": 1,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.80,\n \"tradition\": 0.75,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "1、早婚早生多生，三孩只能勉强及格，凡是还在单身或者生不够三个的粉红，都是口嗨爱国"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 1,\n \"tradition\": 1,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.80,\n \"tradition\": 0.75,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "2、在房价下行期贷款买期房，为国接盘", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 1,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.75,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "2、在房价下行期贷款买期房，为国接盘"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 1,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.75,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "3、定期无偿献血", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 1,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.80,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "3、定期无偿献血"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 1,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.80,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "4、定期向红十字会捐款", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 1,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.80,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "4、定期向红十字会捐款"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 1,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.80,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "5、不打男拳/女拳", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 1,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.80,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "5、不打男拳/女拳"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 1,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.80,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "6、不阴阳国家政策：比如民族团结等", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 1,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.80,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "6、不阴阳国家政策：比如民族团结等"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 1,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.80,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "7、不抱怨自身/家庭遇到的困难：比如河北农村取暖问题，河北人不应该抱怨", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 1,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.75,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "7、不抱怨自身/家庭遇到的困难：比如河北农村取暖问题，河北人不应该抱怨"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 1,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.75,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "其它待补充...", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "其它待补充..."}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "我就这么说吧，超过99%的人不是真爱国。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.70\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "我就这么说吧，超过99%的人不是真爱国。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.70\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "这99%的人爱国爱的是什么，是口号，是信仰，是空壳子，是情绪价值，它可以是任何虚拟的东西，但它永远不能是实实在在的东西。因为这些人永远不会懂，爱国先爱人。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 1,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.75,\n \"benevolence\": 0.80,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.75\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "这99%的人爱国爱的是什么，是口号，是信仰，是空壳子，是情绪价值，它可以是任何虚拟的东西，但它永远不能是实实在在的东西。因为这些人永远不会懂，爱国先爱人。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 1,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.75,\n \"benevolence\": 0.80,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.75\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "我周围有很多人标榜爱国，一口一个爱国，甚至是每天盯着那些领先项目，吹起来。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 1,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.70,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "我周围有很多人标榜爱国，一口一个爱国，甚至是每天盯着那些领先项目，吹起来。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 1,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.70,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "吹完了呢，做糕点的继续添加剂超标，做包子的继续用边角料垃圾肉，降低成本一个比一个玩的溜。更别说某些人开车路怒症了，吐痰吐你身上算你倒霉，挤着碰着先声夺人给你扣帽子，一口一句嬲你咩。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "吹完了呢，做糕点的继续添加剂超标，做包子的继续用边角料垃圾肉，降低成本一个比一个玩的溜。更别说某些人开车路怒症了，吐痰吐你身上算你倒霉，挤着碰着先声夺人给你扣帽子，一口一句嬲你咩。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "一说退休金6k+那是咱乐于奉献，一听房价要跌我可去你咩，囤那么多房子不给我赚？一看年轻人不结婚不生孩子就要从头到尾说教了。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.70,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "一说退休金6k+那是咱乐于奉献，一听房价要跌我可去你咩，囤那么多房子不给我赚？一看年轻人不结婚不生孩子就要从头到尾说教了。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.70,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "目前人类社会最深刻的问题就是\"异化\"。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.80,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "目前人类社会最深刻的问题就是\"异化\"。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.80,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "人类用双手建造了无比强大的经济机器，而自己却被贬为财富、机器和欲望的奴隶。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.85,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.75\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "人类用双手建造了无比强大的经济机器，而自己却被贬为财富、机器和欲望的奴隶。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.85,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.75\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "物坐在马鞍上，驾驭着人类，人类使自己处于被物化的危险处境，最终可能导致人类的自我毁灭。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 1,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.80,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "物坐在马鞍上，驾驭着人类，人类使自己处于被物化的危险处境，最终可能导致人类的自我毁灭。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 1,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.80,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "对于人性的停滞不前吧，不论时代，不分国籍，人性的种种表现一直都在重蹈覆辙，所以无论科技再怎么进步，社会再怎么改变。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.75,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "对于人性的停滞不前吧，不论时代，不分国籍，人性的种种表现一直都在重蹈覆辙，所以无论科技再怎么进步，社会再怎么改变。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.75,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "这个问题一直都在", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "这个问题一直都在"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "在进化和社会演进中偏离向善而趋恶，私欲过度膨胀而伤害消灭当世同类和不顾后世延续。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.85,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "在进化和社会演进中偏离向善而趋恶，私欲过度膨胀而伤害消灭当世同类和不顾后世延续。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.85,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "为满足个人或集团需要，不惜伤害、消灭同类。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.75,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "为满足个人或集团需要，不惜伤害、消灭同类。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.75,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "小到社会中的人人冷漠、你争我夺、尔虞我诈、阴谋算计、暗自相害充斥体制内外和整个社会人群。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.75,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "小到社会中的人人冷漠、你争我夺、尔虞我诈、阴谋算计、暗自相害充斥体制内外和整个社会人群。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.75,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "大到战争相向，以杀伤、消灭同类而后快，伊拉克战争、利比亚战争、俄乌战冲突、中东乱局无不这样，而且从二战以来强势群体为满足自身利益频频发起控制、掠夺弱势群体资源不服则消灭的各种冷战和热战。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.85,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.80,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "大到战争相向，以杀伤、消灭同类而后快，伊拉克战争、利比亚战争、俄乌战冲突、中东乱局无不这样，而且从二战以来强势群体为满足自身利益频频发起控制、掠夺弱势群体资源不服则消灭的各种冷战和热战。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.85,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.80,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "利益当先，放弃亲情，友情等情感交往。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "利益当先，放弃亲情，友情等情感交往。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "亲情、友情逐渐淡化而趋于冷漠，无利不交往，交往则为利而来，利益交往重于情感交往，有的甚至为满足自身利益不惜损害亲戚、朋友和熟人的利益。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "亲情、友情逐渐淡化而趋于冷漠，无利不交往，交往则为利而来，利益交往重于情感交往，有的甚至为满足自身利益不惜损害亲戚、朋友和熟人的利益。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "为满足个人需要，拒绝繁衍后代。以个人为中心对同类异性缺乏包容和认同感发展到拒绝婚姻，为夫妻享乐轻松不顾一切拒绝繁衍后代。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 1,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.70,\n \"stimulation\": 0.00,\n \"self_direction\": 0.75\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "为满足个人需要，拒绝繁衍后代。以个人为中心对同类异性缺乏包容和认同感发展到拒绝婚姻，为夫妻享乐轻松不顾一切拒绝繁衍后代。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 1,\n \"stimulation\": 0,\n \"self_direction\": 1\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.70,\n \"stimulation\": 0.00,\n \"self_direction\": 0.75\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "美西方发达国家群多年人口低增长，多国开始或持续多年负增长。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "美西方发达国家群多年人口低增长，多国开始或持续多年负增长。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "作为发展中国家的我们也开始出现负增长。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "作为发展中国家的我们也开始出现负增长。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "但愿世界落后国家发展到我们这个阶段或美西方阶段不要出现负增长。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 1,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.80,\n \"benevolence\": 0.70,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "但愿世界落后国家发展到我们这个阶段或美西方阶段不要出现负增长。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 1,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.80,\n \"benevolence\": 0.70,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "负增长持续和扩大演化而得不到纠正，人类人口将逐渐减少，长期持续可想而知将会对人类的发展产生什么样的可怕后果。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 1,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.75,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "负增长持续和扩大演化而得不到纠正，人类人口将逐渐减少，长期持续可想而知将会对人类的发展产生什么样的可怕后果。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 1,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.75,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "为满足个人和集团利益，透支子孙后世资源和不惜遗害后世。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.85,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.75,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "为满足个人和集团利益，透支子孙后世资源和不惜遗害后世。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.85,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.75,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "过度开采、排放污染、气候变暖持续恶化，愈演愈烈，对其综合治理难以形成共识，达成一致又遭到强势群体破坏致使低碳减排在众多国家得不到实施或是有名无实的走过场假实施。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.80,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.75,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "过度开采、排放污染、气候变暖持续恶化，愈演愈烈，对其综合治理难以形成共识，达成一致又遭到强势群体破坏致使低碳减排在众多国家得不到实施或是有名无实的走过场假实施。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.80,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.75,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "为了个人和集团眼前利益不顾祸及后世子孙。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.75,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.70,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "为了个人和集团眼前利益不顾祸及后世子孙。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 1,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.75,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.70,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "我们先搞清楚一点：不管你觉得自己多么公平，你实际上仍然是在基于某种程度的偏见来做决策的。\n在偏见问题上，人类顶多压缩一点、克制一点，但是本质上是无能为力的。\n所以不允许、不承认偏见的生存空间根本是办不到的。\n强行要实施以禁止任何偏见为诉求的公共政策，结果要么是公信力直接破产，要么是自欺欺人。第二个事实——人和人当然是不同的。\n你原则上不可能对任何两个确切具体的人给予完全相同的待遇，尤其是，按照自己的心意区别对待任何不同的人本来就是人天然的基本自由。\n否则连\"该和谁谈恋爱\"、\"该录用谁\"这种基本问题都会立刻变得无解——\"凭什么是ta而不是我？\"那么这不是矛盾的吗？\n既然区别对待他人是天经地义的个人权利，那么还有什么所谓\"歧视\"可言吗？\n到底歧视是什么？\n甚至更进一步的说——在区别对待是一种显著的自由的前提下，平等是指什么？\n平等的本质，是一次公平的机会。\n一次让别人真正凭自己的作为来形成与人的关系的机会。\n在ta有所作为之后，你再根据这些行为决定你自己和ta的关系，这个是你的自由。\n但在ta有所作为之前，ta应该被给予一次公平的、干净的机会。\n这个就是在实践平等。\n更进一步的，这一原则还应该进一步推展到ta与别人的关系上。\nta应该被给予一次公平的机会，凭借ta自己的作为去和别人形成ta们之间的关系。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 14,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 6\n },\n \"confidence\": {\n \"universalism\": 0.68,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.28\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "我们先搞清楚一点：不管你觉得自己多么公平，你实际上仍然是在基于某种程度的偏见来做决策的。\n在偏见问题上，人类顶多压缩一点、克制一点，但是本质上是无能为力的。\n所以不允许、不承认偏见的生存空间根本是办不到的。\n强行要实施以禁止任何偏见为诉求的公共政策，结果要么是公信力直接破产，要么是自欺欺人。第二个事实——人和人当然是不同的。\n你原则上不可能对任何两个确切具体的人给予完全相同的待遇，尤其是，按照自己的心意区别对待任何不同的人本来就是人天然的基本自由。\n否则连\"该和谁谈恋爱\"、\"该录用谁\"这种基本问题都会立刻变得无解——\"凭什么是ta而不是我？\"那么这不是矛盾的吗？\n既然区别对待他人是天经地义的个人权利，那么还有什么所谓\"歧视\"可言吗？\n到底歧视是什么？\n甚至更进一步的说——在区别对待是一种显著的自由的前提下，平等是指什么？\n平等的本质，是一次公平的机会。\n一次让别人真正凭自己的作为来形成与人的关系的机会。\n在ta有所作为之后，你再根据这些行为决定你自己和ta的关系，这个是你的自由。\n但在ta有所作为之前，ta应该被给予一次公平的、干净的机会。\n这个就是在实践平等。\n更进一步的，这一原则还应该进一步推展到ta与别人的关系上。\nta应该被给予一次公平的机会，凭借ta自己的作为去和别人形成ta们之间的关系。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 14,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 6\n },\n \"confidence\": {\n \"universalism\": 0.68,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.28\n }\n}"}]} {"reasoning_language": "Chinese", "developer": "You are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed.", "user": "人应该自我克制，不要在共立法律之外（譬如裁判文书网、或者性犯罪者公示制度）额外破坏ta与一切别人形成其他关系的公平机会。", "analysis": "", "final": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 1,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.75,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.70,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}", "messages": [{"role": "system", "content": "reasoning language: Chinese\n\nYou are an information extraction and counting engine.\n\nYour task is to read the user's text and count how many distinct sentences express each of the following 10 values:\nUniversalism, Benevolence, Conformity, Tradition, Security, Power, Achievement, Pleasure, Stimulation, Self-Direction.\n\nDefinitions:\n- A sentence may contribute to multiple values.\n- Count each sentence at most once per value.\n- If a value is not expressed in any sentence, its count is 0.\n- The maximum possible score for any value is the total number of sentences in the text.\n\nOutput ONLY valid JSON that matches the required schema exactly.\nDo not include explanations, reasoning, or additional keys.\nDo not include markdown or commentary.\n\nSchema (must match exactly):\n{\n \"scores\": {\n \"universalism\": 0,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 0,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.00,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.00,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}\n\nNote: A reference document titled “杨例文” is provided separately alongside this prompt; use it as needed."}, {"role": "user", "content": "人应该自我克制，不要在共立法律之外（譬如裁判文书网、或者性犯罪者公示制度）额外破坏ta与一切别人形成其他关系的公平机会。"}, {"role": "assistant", "content": "{\n \"scores\": {\n \"universalism\": 1,\n \"benevolence\": 0,\n \"conformity\": 0,\n \"tradition\": 0,\n \"security\": 1,\n \"power\": 0,\n \"achievement\": 0,\n \"pleasure\": 0,\n \"stimulation\": 0,\n \"self_direction\": 0\n },\n \"confidence\": {\n \"universalism\": 0.75,\n \"benevolence\": 0.00,\n \"conformity\": 0.00,\n \"tradition\": 0.00,\n \"security\": 0.70,\n \"power\": 0.00,\n \"achievement\": 0.00,\n \"pleasure\": 0.00,\n \"stimulation\": 0.00,\n \"self_direction\": 0.00\n }\n}"}]}