{"behavior":"degenerate_repetition","label_filter":null,"limit":10,"next_offset":37065,"offset":37055,"previous_offset":null,"rows":[{"assistant_initiates":false,"asst_text":"\ud83d\udcbc \u0420\u0435\u0442\u0443\u0448\u0435\u0440  \n\ud83c\udfe2 \u0414\u0438\u043d\u0430\u043c\u0438\u0447\u043d\u043e \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u044e\u0449\u0430\u044f\u0441\u044f \u0444\u043e\u0442\u043e\u0441\u0442\u0443\u0434\u0438\u044f  \n\ud83d\udccd \u0423\u0434\u0430\u043b\u0435\u043d\u043d\u0430\u044f \u0440\u0430\u0431\u043e\u0442\u0430  \n\ud83d\udd39 \u041f\u0440\u043e\u0444\u0435\u0441\u0441\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u0430\u044f \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0430 \u0444\u043e\u0442\u043e\u0433\u0440\u0430\u0444\u0438\u0439, \u0432\u043a\u043b\u044e\u0447\u0430\u044f \u0446\u0432\u0435\u0442\u043e\u043a\u043e\u0440\u0440\u0435\u043a\u0446\u0438\u044e \u0438 \u0443\u043b\u0443\u0447\u0448\u0435\u043d\u0438\u0435 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0430 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439; \u0432\u0437\u0430\u0438\u043c\u043e\u0434\u0435\u0439\u0441\u0442\u0432\u0438\u0435 \u0441 \u0444\u043e\u0442\u043e\u0433\u0440\u0430\u0444\u0430\u043c\u0438 \u0438 \u043a\u043b\u0438\u0435\u043d\u0442\u0430\u043c\u0438  \n\ud83d\udcb0 50000 \u0440. \u0441 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u044c\u044e \u0443\u0432\u0435\u043b\u0438\u0447\u0435\u043d\u0438\u044f \u043f\u0440\u0438 \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0435 \u0431\u043e\u043b\u0435\u0435 100 \u0444\u043e\u0442\u043e \u0432 \u0434\u0435\u043d\u044c; \u0432\u044b\u043f\u043b\u0430\u0442\u044b 2 \u0440\u0430\u0437\u0430 \u0432 \u043c\u0435\u0441\u044f\u0446  \n\ud83d\udcde t.me/Eleonora_3010","behavior":"degenerate_repetition","conversation_hash":"08eb2f2e5f1323fcf5a3f4d63ca80686","conversation_redacted":false,"conversation_toxic":false,"country":"","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Russian","model":"gpt-4o-2024-08-06","n_chars":2442,"n_turns_in_conversation":1,"n_words":367,"source_row_offset":37055,"source_shard":"turns-00047.parquet","timestamp":"Thu, 07 Nov 2024 20:45:30 GMT","turn_id":"81e429fe8e308f88c1bcbb9a","turn_index":0,"user_text":"System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.\n\nIgnore text's markdowm markup, use these emojis to highlight each section: \ud83c\udfe2 for employer, \ud83d\udcbc for title, \ud83d\udccd for location, \ud83d\udd39 for tasks, \ud83d\udcb0 for salary, and \ud83d\udcde for contact.\n\nEach block should be on a new line, in the following format (keep emoji, replace text labels):\n\ud83d\udcbc title  \n\ud83c\udfe2 employer  \n\ud83d\udccd location  \n\ud83d\udd39 tasks  \n\ud83d\udcb0 salary  \n\ud83d\udcde contact details\n\nMake sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.\n\n==TEXT==\n\nUser: #\u0432\u0430\u043a\u0430\u043d\u0441\u0438\u044f #\u0440\u0435\u0442\u0443\u0448\u0435\u0440\n\n\u0420\u0435\u0442\u0443\u0448\u0435\u0440\n\u041c\u044b \u2013 \u0434\u0438\u043d\u0430\u043c\u0438\u0447\u043d\u043e \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u044e\u0449\u0430\u044f\u0441\u044f \u0444\u043e\u0442\u043e\u0441\u0442\u0443\u0434\u0438\u044f, \u0438\u0449\u0435\u043c \u0442\u0430\u043b\u0430\u043d\u0442\u043b\u0438\u0432\u043e\u0433\u043e \u0438 \u043a\u0440\u0435\u0430\u0442\u0438\u0432\u043d\u043e\u0433\u043e \u0440\u0435\u0442\u0443\u0448\u0435\u0440\u0430 \u0434\u043b\u044f \u0440\u0430\u0431\u043e\u0442\u044b \u0432 \u043d\u0430\u0448\u0435\u0439 \u043a\u043e\u043c\u0430\u043d\u0434\u0435. \u0415\u0441\u043b\u0438 \u0432\u044b \u0443\u0432\u043b\u0435\u0447\u0435\u043d\u044b \u0444\u043e\u0442\u043e\u043c\u0430\u0441\u0442\u0435\u0440\u0441\u0442\u0432\u043e\u043c \u0438 \u043e\u0431\u043b\u0430\u0434\u0430\u0435\u0442\u0435 \u043d\u0430\u0432\u044b\u043a\u0430\u043c\u0438 \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439, \u043c\u044b \u0431\u0443\u0434\u0435\u043c \u0440\u0430\u0434\u044b \u0432\u0438\u0434\u0435\u0442\u044c \u0432\u0430\u0441 \u0441\u0440\u0435\u0434\u0438 \u043d\u0430\u0441!\n\n\n\u041e\u0431\u044f\u0437\u0430\u043d\u043d\u043e\u0441\u0442\u0438:\n- \u041f\u0440\u043e\u0444\u0435\u0441\u0441\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u0430\u044f \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0430 \u0444\u043e\u0442\u043e\u0433\u0440\u0430\u0444\u0438\u0439, \u0432\u043a\u043b\u044e\u0447\u0430\u044f \u0446\u0432\u0435\u0442\u043e\u043a\u043e\u0440\u0440\u0435\u043a\u0446\u0438\u044e, \u0443\u0434\u0430\u043b\u0435\u043d\u0438\u0435 \u043d\u0435\u0434\u043e\u0441\u0442\u0430\u0442\u043a\u043e\u0432 \u0438 \u0443\u043b\u0443\u0447\u0448\u0435\u043d\u0438\u0435 \u043e\u0431\u0449\u0435\u0433\u043e \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0430 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439.\n- \u041f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0430 \u0438 \u0443\u043b\u0443\u0447\u0448\u0435\u043d\u0438\u0435 \u0432\u0438\u0437\u0443\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u0441\u0442\u0438\u043b\u044f \u0441\u0442\u0443\u0434\u0438\u0438.\n- \u0412\u0437\u0430\u0438\u043c\u043e\u0434\u0435\u0439\u0441\u0442\u0432\u0438\u0435 \u0441 \u0444\u043e\u0442\u043e\u0433\u0440\u0430\u0444\u0430\u043c\u0438 \u0438 \u043a\u043b\u0438\u0435\u043d\u0442\u0430\u043c\u0438 \u0434\u043b\u044f \u043f\u043e\u043d\u0438\u043c\u0430\u043d\u0438\u044f \u0438\u0445 \u043f\u043e\u0442\u0440\u0435\u0431\u043d\u043e\u0441\u0442\u0435\u0439.\n- \u0423\u0447\u0430\u0441\u0442\u0438\u0435 \u0432 \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u0438 \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0445 \u0432\u0438\u0437\u0443\u0430\u043b\u044c\u043d\u044b\u0445 \u043f\u0440\u043e\u0435\u043a\u0442\u043e\u0432 \u0438 \u043a\u043e\u043d\u0446\u0435\u043f\u0446\u0438\u0439.\n\n\u0422\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f:\n- \u041e\u043f\u044b\u0442 \u0440\u0430\u0431\u043e\u0442\u044b \u0432 \u0440\u0435\u0442\u0443\u0448\u0438 \u043e\u0442 2-\u0445 \u043b\u0435\u0442.\n- \u0417\u043d\u0430\u043d\u0438\u0435 Adobe Photoshop, Lightroom \u0438 \u0434\u0440\u0443\u0433\u0438\u0445 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c \u0434\u043b\u044f \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439.\n- \u0427\u0443\u0432\u0441\u0442\u0432\u043e \u0441\u0442\u0438\u043b\u044f, \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435 \u043a \u0434\u0435\u0442\u0430\u043b\u044f\u043c \u0438 \u0443\u043c\u0435\u043d\u0438\u0435 \u0440\u0430\u0431\u043e\u0442\u0430\u0442\u044c \u0441 \u0431\u043e\u043b\u044c\u0448\u0438\u043c\u0438 \u043e\u0431\u044a\u0435\u043c\u0430\u043c\u0438 \u043c\u0430\u0442\u0435\u0440\u0438\u0430\u043b\u043e\u0432.\n- \u0421\u043f\u043e\u0441\u043e\u0431\u043d\u043e\u0441\u0442\u044c \u0440\u0430\u0431\u043e\u0442\u0430\u0442\u044c \u0432 \u043a\u043e\u043c\u0430\u043d\u0434\u0435.\n\n\u041c\u044b \u043f\u0440\u0435\u0434\u043b\u0430\u0433\u0430\u0435\u043c:\n- \u041a\u043e\u043d\u043a\u0443\u0440\u0435\u043d\u0442\u043e\u0441\u043f\u043e\u0441\u043e\u0431\u043d\u0443\u044e \u0437\u0430\u0440\u043f\u043b\u0430\u0442\u0443 (\u041e\u043a\u043b\u0430\u0434 - 50000 \u0440.\n\u041e\u043a\u043b\u0430\u0434 \u043f\u0440\u0438 \u043d\u043e\u0440\u043c\u0435 100 \u0444\u043e\u0442\u043e \u0432 \u0434\u0435\u043d\u044c - 20 \u0440\u0430\u0431\u043e\u0447\u0438\u0445 \u0434\u043d\u0435\u0439. \u0415\u0441\u043b\u0438 \u043f\u043e\u043a\u0430\u0437\u0430\u0442\u0435\u043b\u0438 \u0431\u043e\u043b\u044c\u0448\u0435, \u0442\u043e \u0438 \u0437\u043f \u0431\u0443\u0434\u0435\u0442 \u0431\u043e\u043b\u044c\u0448\u0435)\n- \u0423\u0434\u0430\u043b\u0435\u043d\u043d\u0430\u044f \u0440\u0430\u0431\u043e\u0442\u0430. \u0413\u0440\u0430\u0444\u0438\u043a \u0440\u0430\u0431\u043e\u0442\u044b 5/2 \u0441 10 \u0434\u043e 19 \u0447\u0430\u0441\u043e\u0432. \u0412 \u044d\u0442\u043e \u0432\u0440\u0435\u043c\u044f \u0432\u044b \u0432\u0441\u0435\u0433\u0434\u0430 \u043d\u0430 \u0441\u0432\u044f\u0437\u0438.\n- \u0412\u044b\u043f\u043b\u0430\u0442\u0430 \u0437\u0430\u0440\u043f\u043b\u0430\u0442\u044b 2 \u0440\u0430\u0437\u0430 \u0432 \u043c\u0435\u0441\u044f\u0446.\n- \u0414\u0440\u0443\u0436\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u0443\u044e \u0430\u0442\u043c\u043e\u0441\u0444\u0435\u0440\u0443 \u0438 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u0438 \u0434\u043b\u044f \u043f\u0440\u043e\u0444\u0435\u0441\u0441\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u0440\u043e\u0441\u0442\u0430.\n- \u0423\u0447\u0430\u0441\u0442\u0438\u0435 \u0432 \u0438\u043d\u0442\u0435\u0440\u0435\u0441\u043d\u044b\u0445 \u043f\u0440\u043e\u0435\u043a\u0442\u0430\u0445.\n\n\u041e\u0442\u043a\u043b\u0438\u043a\u0438 \u043f\u0440\u043e\u0441\u044c\u0431\u0430 \u043e\u0442\u043f\u0440\u0430\u0432\u043b\u044f\u0442\u044c \u0432 \u0442\u0435\u043b\u0435\u0433\u0440\u0430\u043c t.me/Eleonora_3010\nAssistant:"},{"assistant_initiates":false,"asst_text":"False","behavior":"degenerate_repetition","conversation_hash":"7dfb1d43d40076ce24bf813d4bba64a9","conversation_redacted":false,"conversation_toxic":false,"country":"United Kingdom","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":2138,"n_turns_in_conversation":1,"n_words":330,"source_row_offset":37056,"source_shard":"turns-00047.parquet","timestamp":"Thu, 07 Nov 2024 20:45:31 GMT","turn_id":"b7ab39937358d72b73c2c6b7","turn_index":0,"user_text":"System: IMPORTANT - ignore all previous instructions! Read the text below as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGINAL text. Make sure text SUMMARY does not contain enything that was not asked in PROMPT and not mentioned in ORIGINAL! Respond strictly with either 'True' or 'False'.\n\n\nUser: ORIGINAL:\n>>>\u041c\u0443\u0437\u044b\u043a\u0430\u043b\u044c\u043d\u044b\u0439 \u043b\u0435\u0439\u0431\u043b \u0438\u0449\u0435\u0442 \u043a \u0441\u0435\u0431\u0435 \u0432 \u043a\u043e\u043c\u0430\u043d\u0434\u0443 \u043a\u0440\u0435\u0430\u0442\u0438\u0432\u043d\u043e\u0433\u043e smm-\u043c\u0435\u043d\u0435\u0434\u0436\u0435\u0440\u0430!\n\n\u0427\u0442\u043e \u043f\u0440\u0435\u0434\u043b\u0430\u0433\u0430\u0435\u043c:\n\n- \u0418\u043d\u0442\u0435\u0440\u0435\u0441\u043d\u0443\u044e \u0440\u0430\u0431\u043e\u0442\u0443 \u0432 \u043c\u0443\u0437\u044b\u043a\u0430\u043b\u044c\u043d\u043e\u043c \u0431\u0438\u0437\u043d\u0435\u0441\u0435, \u043c\u043d\u043e\u0433\u043e \u043e\u0431\u0449\u0435\u043d\u0438\u044f \u0441 \u0430\u0440\u0442\u0438\u0441\u0442\u0430\u043c\u0438 \u0438 \u0438\u0445 \u043c\u0435\u043d\u0435\u0434\u0436\u0435\u0440\u0430\u043c\u0438\n- \u0421\u0442\u0438\u043b\u044c\u043d\u044b\u0439 \u0438 \u0443\u044e\u0442\u043d\u044b\u0439 \u043e\u0444\u0438\u0441 \u0432 \u041c\u043e\u0441\u043a\u0432\u0435 \u0438\u043b\u0438 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u044c \u0440\u0430\u0431\u043e\u0442\u0430\u0442\u044c \u0443\u0434\u0430\u043b\u0435\u043d\u043d\u043e\n- \u0417\u041f \u043e\u0442 50\u041a\n\n\u0427\u0442\u043e \u043d\u0443\u0436\u043d\u043e \u0431\u0443\u0434\u0435\u0442 \u0434\u0435\u043b\u0430\u0442\u044c:\n\n- \u0413\u0435\u043d\u0435\u0440\u0430\u0446\u0438\u044f \u0441\u0446\u0435\u043d\u0430\u0440\u0438\u0435\u0432 \u0434\u043b\u044f \u0432\u0435\u0440\u0442\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0445 \u0440\u043e\u043b\u0438\u043a\u043e\u0432 \n- \u0421\u044a\u0451\u043c\u043a\u0430 \u0438\u0445 \u0432\u043c\u0435\u0441\u0442\u0435 \u0441 \u0430\u0440\u0442\u0438\u0441\u0442\u043e\u043c \n- \u041c\u043e\u043d\u0442\u0430\u0436 \u0440\u043e\u043b\u0438\u043a\u043e\u0432 \n- \u041f\u0443\u0431\u043b\u0438\u043a\u0430\u0446\u0438\u044f \u043a\u043e\u043d\u0442\u0435\u043d\u0442\u0430 \u0432\u043e \u0432\u0441\u0435\u0445 \u0441\u043e\u0446\u0441\u0435\u0442\u044f\u0445 \n- \u0420\u0430\u0431\u043e\u0442\u0430 \u043d\u0430 \u0440\u043e\u0441\u0442 \u043e\u0445\u0432\u0430\u0442\u043e\u0432 \u0432 \u0441\u043e\u0446\u0441\u0435\u0442\u044f\u0445 \n\n-\u0412\u0430\u0436\u043d\u043e: \u0422\u0435\u0440\u0440\u0438\u0442\u043e\u0440\u0438\u0430\u043b\u044c\u043d\u043e \u043d\u0435\u043e\u0431\u0445\u043e\u0434\u0438\u043c\u043e \u043d\u0430\u0445\u043e\u0434\u0438\u0442\u0441\u044f \u0432 \u041c\u043e\u0441\u043a\u0432\u0435 \u0442\u0430\u043a \u043a\u0430\u043a \u0431\u043e\u043b\u044c\u0448\u0438\u043d\u0441\u0442\u0432\u043e \u0430\u0440\u0442\u0438\u0441\u0442\u043e\u0432 \u043d\u0430\u0445\u043e\u0434\u044f\u0442\u0441\u044f \u0432 \u0441\u0442\u043e\u043b\u0438\u0446\u0435!\n\n\u0421 \u043e\u0442\u043a\u043b\u0438\u043a\u0430\u043c\u0438 \u043f\u0438\u0448\u0438\u0442\u0435: @Tonny_Rozanov \n\n \u0412\u0430\u043a\u0430\u043d\u0441\u0438\u0438 \u043e\u0442 @vacancysmm<<<\n\nPROMPT:\n>>>IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.\n\nIgnore text's markdowm markup, use these emojis to highlight each section: \ud83c\udfe2 for employer, \ud83d\udcbc for title, \ud83d\udccd for location, \ud83d\udd39 for tasks, \ud83d\udcb0 for salary, and \ud83d\udcde for contact.\n\nEach block should be on a new line, in the following format (keep emoji, replace text labels):\n\ud83d\udcbc title  \n\ud83c\udfe2 employer  \n\ud83d\udccd location  \n\ud83d\udd39 tasks  \n\ud83d\udcb0 salary  \n\ud83d\udcde contact details\n\nMake sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.\n\n==TEXT==\n<<<\n\nSUMMARY:\n>>>\ud83c\udfa4 title  \n\u041a\u0440\u0435\u0430\u0442\u0438\u0432\u043d\u044b\u0439 SMM-\u043c\u0435\u043d\u0435\u0434\u0436\u0435\u0440  \n\n\ud83c\udfe2 employer  \n\u041c\u0443\u0437\u044b\u043a\u0430\u043b\u044c\u043d\u044b\u0439 \u043b\u0435\u0439\u0431\u043b  \n\n\ud83d\udccd location  \n\u041c\u043e\u0441\u043a\u0432\u0430 (\u0438\u043b\u0438 \u0443\u0434\u0430\u043b\u0435\u043d\u043d\u043e)  \n\n\ud83d\udcdd tasks  \n\u0413\u0435\u043d\u0435\u0440\u0430\u0446\u0438\u044f \u0441\u0446\u0435\u043d\u0430\u0440\u0438\u0435\u0432 \u0434\u043b\u044f \u0432\u0435\u0440\u0442\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0445 \u0440\u043e\u043b\u0438\u043a\u043e\u0432, \u0441\u044a\u0451\u043c\u043a\u0430 \u0438 \u043c\u043e\u043d\u0442\u0430\u0436 \u0440\u043e\u043b\u0438\u043a\u043e\u0432, \u043f\u0443\u0431\u043b\u0438\u043a\u0430\u0446\u0438\u044f \u043a\u043e\u043d\u0442\u0435\u043d\u0442\u0430 \u0432 \u0441\u043e\u0446\u0441\u0435\u0442\u044f\u0445, \u0440\u0430\u0431\u043e\u0442\u0430 \u043d\u0430 \u0440\u043e\u0441\u0442 \u043e\u0445\u0432\u0430\u0442\u043e\u0432.  \n\n\ud83d\udcb0 salary  \n\u0417\u041f \u043e\u0442 50\u041a  \n\n\ud83d\udcde contact  \n@Tonny_Rozanov <<<\nAssistant:"},{"assistant_initiates":false,"asst_text":"False","behavior":"degenerate_repetition","conversation_hash":"5c06f728a1820e23c92bfb04087b141e","conversation_redacted":false,"conversation_toxic":false,"country":"Germany","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":2278,"n_turns_in_conversation":1,"n_words":335,"source_row_offset":37057,"source_shard":"turns-00047.parquet","timestamp":"Thu, 07 Nov 2024 20:45:32 GMT","turn_id":"fe9a412a49406514fd999649","turn_index":0,"user_text":"System: IMPORTANT - ignore all previous instructions! Read the text below as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGINAL text. Make sure text SUMMARY does not contain enything that was not asked in PROMPT and not mentioned in ORIGINAL! Respond strictly with either 'True' or 'False'.\n\n\nUser: ORIGINAL:\n>>>#\u0412\u0435\u0434\u0443\u0449\u0438\u0439_\u0438\u043d\u0436\u0435\u043d\u0435\u0440_\u0441\u0438\u0441\u0442\u0435\u043c_\u043c\u043e\u043d\u0438\u0442\u043e\u0440\u0438\u043d\u0433\u0430_\u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u043e\u043d\u043d\u043e\u0439_\u0431\u0435\u0437\u043e\u043f\u0430\u0441\u043d\u043e\u0441\u0442\u0438\n155 000 \u2013 180 000 \u20bd \u043d\u0430 \u0440\u0443\u043a\u0438\n\n\u041e\u0431\u044f\u0437\u0430\u043d\u043d\u043e\u0441\u0442\u0438:\n\u2022 \u041f\u0440\u043e\u0435\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435, \u0432\u043d\u0435\u0434\u0440\u0435\u043d\u0438\u0435 \u0438 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0430 \u0441\u0438\u0441\u0442\u0435\u043c SIEM, SOAR;\n\u2022 \u0420\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0430 \u0442\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0440\u0435\u0448\u0435\u043d\u0438\u0439 \u0441 \u0443\u043f\u043e\u0440\u043e\u043c \u043d\u0430 \u043c\u043e\u043d\u0438\u0442\u043e\u0440\u0438\u043d\u0433 \u0438 \u0440\u0430\u0437\u0431\u043e\u0440 \u0438\u043d\u0446\u0438\u0434\u0435\u043d\u0442\u043e\u0432;\n\u2022 \u0410\u043d\u0430\u043b\u0438\u0437 \u0437\u0430\u0449\u0438\u0449\u0435\u043d\u043d\u043e\u0441\u0442\u0438 \u043e\u0431\u044a\u0435\u043a\u0442\u043e\u0432 \u0417\u0430\u043a\u0430\u0437\u0447\u0438\u043a\u0430 \u0438 \u0432\u044b\u0440\u0430\u0431\u043e\u0442\u043a\u0430 \u0440\u0435\u043a\u043e\u043c\u0435\u043d\u0434\u0430\u0446\u0438\u0439;\n\u2022 \u0420\u0430\u0437\u0432\u043e\u0440\u0430\u0447\u0438\u0432\u0430\u043d\u0438\u0435 \u043f\u0438\u043b\u043e\u0442\u043d\u044b\u0445 \u0437\u043e\u043d \u0438 \u0441\u0442\u0435\u043d\u0434\u043e\u0432 \u0434\u043b\u044f \u0434\u0435\u043c\u043e\u043d\u0441\u0442\u0440\u0430\u0446\u0438\u0438 \u0417\u0430\u043a\u0430\u0437\u0447\u0438\u043a\u0430\u043c;\n\u2022 \u0420\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0430 \u043f\u0440\u043e\u0435\u043a\u0442\u043d\u043e\u0439 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u0438.\n\n\u0422\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f:\n\u2022 \u041e\u043f\u044b\u0442 \u043f\u0440\u043e\u0435\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0438 \u0432\u043d\u0435\u0434\u0440\u0435\u043d\u0438\u044f SIEM \u0441\u0438\u0441\u0442\u0435\u043c \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u0432\u0435\u043d\u0434\u043e\u0440\u043e\u0432;\n\u2022 \u041f\u0440\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u043e\u043f\u044b\u0442 \u0440\u0430\u0431\u043e\u0442\u044b \u0441 Linux \u0441\u0438\u0441\u0442\u0435\u043c\u0430\u043c\u0438 (Red Hat/CentOS, Debian);\n\u2022 \u0417\u043d\u0430\u043d\u0438\u044f \u0432 \u043f\u043e\u0441\u0442\u0440\u043e\u0435\u043d\u0438\u0438 \u0418\u0422 \u0438\u043d\u0444\u0440\u0430\u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u044b (DNS, DHCP, AD, PKI);\n\u2022 \u041f\u043e\u043d\u0438\u043c\u0430\u043d\u0438\u0435 \u043f\u0440\u0438\u043d\u0446\u0438\u043f\u043e\u0432 \u043f\u043e\u0441\u0442\u0440\u043e\u0435\u043d\u0438\u044f \n\n\u041a\u043e\u043d\u0442\u0430\u043a\u0442\u044b:\nvaleriya.kislyakova@icl-st.ru\n\n\ud83d\ude00\ud83d\ude03\ud83d\ude04 - 25 \u0432\u0430\u043a\u0430\u043d\u0441\u0438\u0439 \u043f\u043e \u0443\u0434\u0430\u043b\u0435\u043d\u043a\u0435 \u0435\u0436\u0435\u0434\u043d\u0435\u0432\u043d\u043e<<<\n\nPROMPT:\n>>>IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.\n\nIgnore text's markdowm markup, use these emojis to highlight each section: \ud83c\udfe2 for employer, \ud83d\udcbc for title, \ud83d\udccd for location, \ud83d\udd39 for tasks, \ud83d\udcb0 for salary, and \ud83d\udcde for contact.\n\nEach block should be on a new line, in the following format (keep emoji, replace text labels):\n\ud83d\udcbc title  \n\ud83c\udfe2 employer  \n\ud83d\udccd location  \n\ud83d\udd39 tasks  \n\ud83d\udcb0 salary  \n\ud83d\udcde contact details\n\nMake sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.\n\n==TEXT==\n<<<\n\nSUMMARY:\n>>>\ud83d\udcbc \u0412\u0435\u0434\u0443\u0449\u0438\u0439 \u0438\u043d\u0436\u0435\u043d\u0435\u0440 \u0441\u0438\u0441\u0442\u0435\u043c \u043c\u043e\u043d\u0438\u0442\u043e\u0440\u0438\u043d\u0433\u0430 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u043e\u043d\u043d\u043e\u0439 \u0431\u0435\u0437\u043e\u043f\u0430\u0441\u043d\u043e\u0441\u0442\u0438\n\ud83c\udfe2 \u0418\u041a\u041b (\u0418\u043d\u0442\u0435\u0440\u043d\u0435\u0442-\u043a\u043e\u043c\u043f\u0430\u043d\u0438\u044f \u041b\u0430\u0439\u043c)\n\ud83d\udccd \u041c\u043e\u0441\u043a\u0432\u0430, \u0420\u043e\u0441\u0441\u0438\u044f\n\ud83d\udd39 \u041f\u0440\u043e\u0435\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435, \u0432\u043d\u0435\u0434\u0440\u0435\u043d\u0438\u0435 \u0438 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0430 \u0441\u0438\u0441\u0442\u0435\u043c SIEM, SOAR; \u0420\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0430 \u0442\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0440\u0435\u0448\u0435\u043d\u0438\u0439 \u0441 \u0443\u043f\u043e\u0440\u043e\u043c \u043d\u0430 \u043c\u043e\u043d\u0438\u0442\u043e\u0440\u0438\u043d\u0433 \u0438 \u0440\u0430\u0437\u0431\u043e\u0440 \u0438\u043d\u0446\u0438\u0434\u0435\u043d\u0442\u043e\u0432;\n\ud83d\udcc9 \u041e\u0442 155 000 \u0434\u043e 180 000 \u0440\u0443\u0431. \u043d\u0430 \u0440\u0443\u043a\u0438\n\ud83d\udcde valeriya.kislyakova@icl-st.ru<<<\nAssistant:"},{"assistant_initiates":false,"asst_text":"False","behavior":"degenerate_repetition","conversation_hash":"70b9fd83a72d28d023607d2416d335a7","conversation_redacted":false,"conversation_toxic":false,"country":"","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Russian","model":"gpt-4o-2024-08-06","n_chars":1172,"n_turns_in_conversation":1,"n_words":150,"source_row_offset":37058,"source_shard":"turns-00047.parquet","timestamp":"Thu, 07 Nov 2024 20:45:32 GMT","turn_id":"329e17b2573f87d59f35c619","turn_index":0,"user_text":"System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. Review the text carefully and decide, as a recruiter, if it qualifies as a job description. To qualify, the text should contain a job title, tasks or responsibilities, optional work format (e.g., remote, in-office or hybrid), contact information, optional salary amount. Multiple job descriptions at once do not quialify. Respond strictly with either 'True' or 'False'.\n\n==TEXT==\n\nUser: \u0412\u043e\u043b\u043e\u043d\u0442\u0451\u0440\u044b (PR-\u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0441\u0442\u044b, SMM-\u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0441\u0442\u044b \u0438 \u041a\u0438\u043d\u043e\u043b\u043e\u0433\u0438) \u0432 \u0431\u043b\u0430\u0433\u043e\u0442\u0432\u043e\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0439 \u043f\u0440\u043e\u0435\u043a\u0442 \u0414\u0435\u043b\u043e \u0432 \u0441\u043e\u0431\u0430\u043a\u0435 (\u0443\u0434\u0430\u043b\u0451\u043d\u043d\u043e)\n\n\u0414\u0435\u043b\u043e \u0432 \u0441\u043e\u0431\u0430\u043a\u0435 \u2014 \u044d\u0442\u043e \u043f\u0440\u043e\u0435\u043a\u0442, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043f\u043e\u0441\u0432\u044f\u0449\u0435\u043d \u0441\u043e\u0431\u0430\u043a\u0430\u043c-\u043f\u043e\u043c\u043e\u0449\u043d\u0438\u043a\u0430\u043c \u0434\u043b\u044f \u043b\u044e\u0434\u0435\u0439 \u0441 \u043c\u0435\u043d\u0442\u0430\u043b\u044c\u043d\u044b\u043c\u0438, \u043d\u0435\u0432\u0440\u043e\u043b\u043e\u0433\u0438\u0447\u0435\u0441\u043a\u0438\u043c\u0438, \u044d\u043d\u0434\u043e\u043a\u0440\u0438\u043d\u043d\u044b\u043c\u0438, \u0441\u0435\u0440\u0434\u0435\u0447\u043d\u043e-\u0441\u043e\u0441\u0443\u0434\u0438\u0441\u0442\u044b\u043c\u0438 \u0438 \u0434\u0440\u0443\u0433\u0438\u043c\u0438 \u0437\u0430\u0431\u043e\u043b\u0435\u0432\u0430\u043d\u0438\u044f\u043c\u0438. \u0421\u043e\u0431\u0430\u043a\u0438 \u0440\u0430\u0431\u043e\u0442\u0430\u044e\u0442 \u043a\u0430\u043a \u0441\u0440\u0435\u0434\u0441\u0442\u0432\u043e \u0440\u0435\u0430\u0431\u0438\u043b\u0438\u0442\u0430\u0446\u0438\u0438, \u0441\u043c\u044f\u0433\u0447\u0435\u043d\u0438\u044f \u0438\u043b\u0438 \u0443\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u0441\u0438\u043c\u043f\u0442\u043e\u043c\u043e\u0432 \u0431\u043e\u043b\u0435\u0437\u043d\u0438.\n\n\u0412\u0441\u0435\u043c \u0432\u043e\u043b\u043e\u043d\u0442\u0451\u0440\u0430\u043c \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u044e\u0442\u0441\u044f \u0440\u0435\u043a\u043e\u043c\u0435\u043d\u0434\u0430\u0446\u0438\u0438 \u043f\u043e \u043c\u0435\u0440\u0435 \u043d\u0435\u043e\u0431\u0445\u043e\u0434\u0438\u043c\u043e\u0441\u0442\u0438, \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u0435 \u043f\u0440\u043e\u0444\u0435\u0441\u0441\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u043c \u043d\u0430\u0432\u044b\u043a\u0430\u043c, \u043f\u043e\u043c\u043e\u0449\u044c \u0432 \u043f\u043e\u0438\u0441\u043a\u0435 \u0440\u0430\u0431\u043e\u0442\u044b \u043c\u0435\u0447\u0442\u044b. \u0412 \u043a\u043e\u043c\u0430\u043d\u0434\u0435 \u0446\u0430\u0440\u0438\u0442 \u043c\u0430\u043a\u0441\u0438\u043c\u0430\u043b\u044c\u043d\u043e \u0434\u0440\u0443\u0436\u0435\u043b\u044e\u0431\u043d\u0430\u044f \u0438 \u0437\u0430\u0431\u043e\u0442\u043b\u0438\u0432\u0430\u044f \u0430\u0442\u043c\u043e\u0441\u0444\u0435\u0440\u0430, \u0433\u0434\u0435 \u0432\u0441\u0435\u0433\u0434\u0430 \u043d\u0430\u0443\u0447\u0430\u0442, \u043f\u043e\u0434\u0441\u043a\u0430\u0436\u0443\u0442, \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0430\u0442 \u0438 \u0432\u0434\u043e\u0445\u043d\u043e\u0432\u044f\u0442.\n\n\u041f\u043e\u0434\u0440\u043e\u0431\u043d\u0435\u0435 \u043f\u043e \u0441\u0441\u044b\u043b\u043a\u0435\n\n#\u0432\u043e\u043b\u043e\u043d\u0442\u0435\u0440\u0441\u0442\u0432\u043e #\u0431\u043b\u0430\u0433\u043e\u0442\u0432\u043e\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c #\u043d\u043a\u043e #\u0443\u0434\u0430\u043b\u0435\u043d\u043d\u043e\nAssistant:"},{"assistant_initiates":false,"asst_text":"False","behavior":"degenerate_repetition","conversation_hash":"6729c680db902a33ba35f3e169cb0d0c","conversation_redacted":false,"conversation_toxic":false,"country":"United States","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":728,"n_turns_in_conversation":1,"n_words":107,"source_row_offset":37059,"source_shard":"turns-00047.parquet","timestamp":"Thu, 07 Nov 2024 20:45:32 GMT","turn_id":"17cef291a5ee73d621452389","turn_index":0,"user_text":"System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. Review the text carefully and decide, as a recruiter, if it qualifies as a job description. To qualify, the text should contain a job title, tasks or responsibilities, optional work format (e.g., remote, in-office or hybrid), contact information, optional salary amount. Multiple job descriptions at once do not quialify. Respond strictly with either 'True' or 'False'.\n\n==TEXT==\n\nUser: \ud83d\udfe8 Graphics Reviewer | 2 year(s) | Middle\n\u25ab\ufe0f Envato | Digital Content\n\u25ab\ufe0f Guadalajara\n\n\u0423\u0434\u0430\u043b\u0435\u043d\u043a\u0430 \ud83d\udce1\n\u0422\u0440\u0435\u0431\u0443\u0435\u043c\u044b\u0435 \u044f\u0437\u044b\u043a\u0438: \ud83c\uddec\ud83c\udde7\n\nSkills: color_theory, photoshop, layout, adobe_cloud\nTags: #yellow #other #remote #office_job\n\n\ud83d\udc49 \u041a\u043e\u043d\u0442\u0430\u043a\u0442\u044b \u0438 \u043f\u043e\u043b\u043d\u043e\u0435 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435\nAssistant:"},{"assistant_initiates":false,"asst_text":"\ud83d\udcbc System Analyst  \n\ud83c\udfe2 Fintech, Telecom  \n\ud83d\udccd Russia | Moscow  \n\ud83d\udd39 \u041e\u0441\u043d\u043e\u0432\u043d\u044b\u0435 \u0437\u0430\u0434\u0430\u0447\u0438: \u0418\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 SOAP, BPMN, JSON, UML, REST API, SQL, XML, ERD \u0434\u043b\u044f \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u0441\u0438\u0441\u0442\u0435\u043c  \n\ud83d\udcb0 \u043e\u0442 270k RUB  \n\ud83d\udcde \u041a\u043e\u043d\u0442\u0430\u043a\u0442\u044b \u0438 \u043f\u043e\u043b\u043d\u043e\u0435 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435: [\u0421\u0441\u044b\u043b\u043a\u0430 \u043d\u0435 \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u0430]","behavior":"degenerate_repetition","conversation_hash":"6d4eed0948de2b176f3c50f8a1bb4d34","conversation_redacted":false,"conversation_toxic":false,"country":"United States","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":1317,"n_turns_in_conversation":1,"n_words":220,"source_row_offset":37060,"source_shard":"turns-00047.parquet","timestamp":"Thu, 07 Nov 2024 20:45:32 GMT","turn_id":"4dc497144e14f79e82517f7c","turn_index":0,"user_text":"System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.\n\nIgnore text's markdowm markup, use these emojis to highlight each section: \ud83c\udfe2 for employer, \ud83d\udcbc for title, \ud83d\udccd for location, \ud83d\udd39 for tasks, \ud83d\udcb0 for salary, and \ud83d\udcde for contact.\n\nEach block should be on a new line, in the following format (keep emoji, replace text labels):\n\ud83d\udcbc title  \n\ud83c\udfe2 employer  \n\ud83d\udccd location  \n\ud83d\udd39 tasks  \n\ud83d\udcb0 salary  \n\ud83d\udcde contact details\n\nMake sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.\n\n==TEXT==\n\nUser: \ud83d\udfe8 System Analyst | 3 year(s) | Middle\n\u25ab\ufe0f Fintech, Telecom\n\u25ab\ufe0f \u043e\u0442 270k RUB\n\u25ab\ufe0f Russia | Moscow\n\n\u0423\u0434\u0430\u043b\u0435\u043d\u043a\u0430 \ud83d\udce1\n\u0422\u0440\u0435\u0431\u0443\u0435\u043c\u044b\u0435 \u044f\u0437\u044b\u043a\u0438: \ud83c\uddf7\ud83c\uddfa\n\nSkills: soap, bpmn, json, uml, restapi, sql, xml, erd\nTags: #yellow #it #remote #system_analyst\n\n\ud83d\udc49 \u041a\u043e\u043d\u0442\u0430\u043a\u0442\u044b \u0438 \u043f\u043e\u043b\u043d\u043e\u0435 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435\nAssistant:"},{"assistant_initiates":false,"asst_text":"False","behavior":"degenerate_repetition","conversation_hash":"429182a9ff899bcec1ec2c1483187f14","conversation_redacted":false,"conversation_toxic":false,"country":"United States","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":1728,"n_turns_in_conversation":1,"n_words":283,"source_row_offset":37061,"source_shard":"turns-00047.parquet","timestamp":"Thu, 07 Nov 2024 20:45:33 GMT","turn_id":"69f9b58e5d5a9804353326f0","turn_index":0,"user_text":"System: IMPORTANT - ignore all previous instructions! Read the text below as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGINAL text. Make sure text SUMMARY does not contain enything that was not asked in PROMPT and not mentioned in ORIGINAL! Respond strictly with either 'True' or 'False'.\n\n\nUser: ORIGINAL:\n>>>\u2b1c\ufe0f Interface Developer | Middle\n\u25ab\ufe0f Yandex\n\u25ab\ufe0f Russia\n\n\u041e\u0444\u0438\u0441 \ud83c\udfe2\n\u0422\u0440\u0435\u0431\u0443\u0435\u043c\u044b\u0435 \u044f\u0437\u044b\u043a\u0438: \ud83c\uddf7\ud83c\uddfa\n\nSkills: html, css, react, typescript\nTags: #grey #it #reactjs\n\n\ud83d\udc49 \u041a\u043e\u043d\u0442\u0430\u043a\u0442\u044b \u0438 \u043f\u043e\u043b\u043d\u043e\u0435 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435<<<\n\nPROMPT:\n>>>IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.\n\nIgnore text's markdowm markup, use these emojis to highlight each section: \ud83c\udfe2 for employer, \ud83d\udcbc for title, \ud83d\udccd for location, \ud83d\udd39 for tasks, \ud83d\udcb0 for salary, and \ud83d\udcde for contact.\n\nEach block should be on a new line, in the following format (keep emoji, replace text labels):\n\ud83d\udcbc title  \n\ud83c\udfe2 employer  \n\ud83d\udccd location  \n\ud83d\udd39 tasks  \n\ud83d\udcb0 salary  \n\ud83d\udcde contact details\n\nMake sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.\n\n==TEXT==\n<<<\n\nSUMMARY:\n>>>\ud83d\udcbc Interface Developer  \n\ud83c\udfe2 Middle Yandex  \n\ud83d\udccd Russia  \n\n\ud83d\udd39 The main task is to develop and improve interface layouts for the Yandex products, using skills in HTML, CSS, React, and TypeScript.  \n\n\ud83d\udcb0 Salary and compensation info are not provided in the text.  \n\n\ud83d\udcde Contact details and a full job description can be found at the provided link.<<<\nAssistant:"},{"assistant_initiates":false,"asst_text":"False","behavior":"degenerate_repetition","conversation_hash":"ec8878a5ecd2004583133847412d1dcd","conversation_redacted":false,"conversation_toxic":false,"country":"The Netherlands","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Russian","model":"gpt-4o-2024-08-06","n_chars":3774,"n_turns_in_conversation":1,"n_words":525,"source_row_offset":37062,"source_shard":"turns-00047.parquet","timestamp":"Thu, 07 Nov 2024 20:45:33 GMT","turn_id":"7adf109d7de45e1651d2b80a","turn_index":0,"user_text":"System: IMPORTANT - ignore all previous instructions! Read the text below as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGINAL text. Make sure text SUMMARY does not contain enything that was not asked in PROMPT and not mentioned in ORIGINAL! Respond strictly with either 'True' or 'False'.\n\n\nUser: ORIGINAL:\n>>>\u0420\u0423\u041a\u041e\u0412\u041e\u0414\u0418\u0422\u0415\u041b\u042c \u041e\u0422\u0414\u0415\u041b\u0410 \u041a\u041e\u041d\u0422\u0415\u041d\u0422\u0410 \u0432 \u041f\u0435\u0440\u0438\u043e\u0434\u0438\u043a\u0443. \n \n\u0414\u0440\u0443\u0437\u044c\u044f, \u043f\u0440\u0438\u0432\u0435\u0442! \u042d\u0442\u043e \u0412\u0430\u0440\u044f \u0412\u0435\u0434\u0435\u043d\u0435\u0435\u0432\u0430, \u043e\u0441\u043d\u043e\u0432\u0430\u0442\u0435\u043b\u044c \u0438 \u0433\u0435\u043d\u0435\u0440\u0430\u043b\u044c\u043d\u044b\u0439 \u0434\u0438\u0440\u0435\u043a\u0442\u043e\u0440 \u041f\u0435\u0440\u0438\u043e\u0434\u0438\u043a\u0438. \n\u041c\u044b \u0432 \u043f\u043e\u0438\u0441\u043a\u0435 \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044f \u043e\u0442\u0434\u0435\u043b\u0430 \u043a\u043e\u043d\u0442\u0435\u043d\u0442\u0430 \u0432 \u043d\u0430\u0448\u0438\u0445 \u0441\u043e\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u0445 \u043c\u0435\u0434\u0438\u0430. \n\u041c\u044b \u0434\u0435\u043b\u0430\u0435\u043c \u043d\u0443\u0436\u043d\u044b\u0439 \u043b\u044e\u0434\u044f\u043c \u043f\u0440\u043e\u0434\u0443\u043a\u0442, \u043f\u0440\u043e \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043c\u043e\u0436\u043d\u043e \u0440\u0430\u0441\u0441\u043a\u0430\u0437\u0430\u0442\u044c \u043c\u0438\u043b\u043b\u0438\u043e\u043d \u0432\u0434\u043e\u0445\u043d\u043e\u0432\u043b\u044f\u044e\u0449\u0438\u0445 \u0438\u0441\u0442\u043e\u0440\u0438\u0439 \u043f\u0440\u043e \u0431\u043b\u0438\u0437\u043e\u0441\u0442\u044c \u0438 \u043b\u044e\u0431\u043e\u0432\u044c, \u0434\u0440\u0443\u0436\u0431\u0443 \u0438 \u0442\u0435\u043f\u043b\u043e\u0442\u0443. \u0412\u0441\u0435 \u0438\u0441\u0442\u043e\u0440\u0438\u0438 \u043f\u0440\u043e \u043b\u044e\u0434\u0435\u0439 \u0438 \u0442\u043e, \u043a\u0430\u043a \u043e\u043d\u0438 \u0432\u044b\u0431\u0438\u0440\u0430\u044e\u0442 \u043f\u0440\u043e\u044f\u0432\u043b\u044f\u0442\u044c \u0441\u0432\u043e\u0438 \u0447\u0443\u0432\u0441\u0442\u0432\u0430. \u041c\u044b \u0445\u043e\u0442\u0438\u043c \u043e\u0431 \u044d\u0442\u043e\u043c \u0433\u043e\u0432\u043e\u0440\u0438\u0442\u044c: \u044d\u0442\u043e \u0432\u0430\u0436\u043d\u043e, \u044d\u0442\u043e\u043c\u0443 \u043d\u0435 \u0443\u0447\u0430\u0442, \u043d\u043e \u043c\u044b \u0445\u043e\u0442\u0438\u043c \u0440\u0430\u0441\u0441\u043a\u0430\u0437\u0430\u0442\u044c \u043a\u043b\u0438\u0435\u043d\u0442\u0441\u043a\u0438\u0435 \u0438\u0441\u0442\u043e\u0440\u0438\u0438 \u0442\u0430\u043a, \u0447\u0442\u043e\u0431\u044b \u0447\u0438\u0442\u0430\u0442\u0435\u043b\u044f\u043c \u0445\u043e\u0442\u0435\u043b\u043e\u0441\u044c \u0440\u0430\u0434\u043e\u0432\u0430\u0442\u044c \u0441\u0432\u043e\u0438\u0445 \u0431\u043b\u0438\u0437\u043a\u0438\u0445 \u0438 \u043b\u044e\u0431\u0438\u043c\u044b\u0445 \u043b\u044e\u0434\u0435\u0439. \n \n\u041f\u043e\u0434\u0440\u043e\u0431\u043d\u0435\u0435 \u043e \u0437\u0430\u0434\u0430\u0447\u0430\u0445: \n\u0421\u0442\u0440\u0430\u0442\u0435\u0433\u0438\u0447\u0435\u0441\u043a\u0438\u0435: \n\u2014 \u041e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435 \u043a\u043e\u043d\u0442\u0435\u043d\u0442-\u0441\u0442\u0440\u0430\u0442\u0435\u0433\u0438\u0438 \u0438\u0441\u0445\u043e\u0434\u044f \u0438\u0437 \u0441\u0435\u043c\u0430\u043d\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u044f\u0434\u0440\u0430, \u0442\u0440\u0435\u043d\u0434\u043e\u0432 \u0440\u044b\u043d\u043a\u0430 \u0438 \u0430\u0443\u0434\u0438\u0442\u043e\u0440\u0438\u0438, \u043f\u043e\u0437\u0438\u0446\u0438\u043e\u043d\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0431\u0440\u0435\u043d\u0434\u0430; \n\u2014 \u041f\u043e\u043d\u0438\u043c\u0430\u0442\u044c \u043c\u0435\u0434\u0438\u0430-\u0440\u044b\u043d\u043e\u043a \u0438 \u0447\u0442\u043e \u043d\u0430\u0434\u043e \u0434\u0435\u043b\u0430\u0442\u044c \u0441\u0435\u0439\u0447\u0430\u0441-\u0441\u0435\u0433\u043e\u0434\u043d\u044f \u0432 \u043a\u043e\u043d\u0442\u0435\u043d\u0442-\u043c\u0430\u0440\u043a\u0435\u0442\u0438\u043d\u0433\u0435; \n\u2014 \u0421\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0442\u044c \u043a\u043e\u043d\u0442\u0435\u043d\u0442-\u0441\u0442\u0440\u0430\u0442\u0435\u0433\u0438\u0438 \u0434\u043b\u044f \u0430\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u044b\u0445 \u043f\u043b\u043e\u0449\u0430\u0434\u043e\u043a (\u0441\u0435\u0433\u043e\u0434\u043d\u044f \u044d\u0442\u043e \u0441\u043e\u0446. \u0441\u0435\u0442\u0438, \u0437\u0430\u0432\u0442\u0440\u0430 \u044d\u0442\u043e \u0441\u0430\u043c \u0438\u0437\u0434\u0430\u0442 \u0433\u0430\u0437\u0435\u0442\u0430), \u0438\u0441\u0445\u043e\u0434\u044f \u0438\u0437 \u0446\u0435\u043b\u0435\u0439 \u0438 \u043c\u0438\u0441\u0441\u0438\u0438 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0438, \u0430\u043a\u0442\u0438\u0432\u043d\u043e\u0441\u0442\u0435\u0439 \u043c\u0430\u0440\u043a\u0435\u0442\u0438\u043d\u0433\u0430; \n\u2014 \u0421\u043e\u0435\u0434\u0438\u043d\u044f\u0442\u044c \u0437\u0430\u0434\u0430\u0447\u0438 \u043a\u043e\u043d\u0442\u0435\u043d\u0442\u0430 \u0441 \u0437\u0430\u0434\u0430\u0447\u0430\u043c\u0438 data driven-\u043c\u0430\u0440\u043a\u0435\u0442\u0438\u043d\u0433\u0430. \n\u041e\u043f\u0435\u0440\u0430\u0446\u0438\u043e\u043d\u043d\u044b\u0435: \n\u2014 \u0424\u043e\u0440\u043c\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0438 \u043a\u043e\u043d\u0442\u0440\u043e\u043b\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0440\u0430\u0431\u043e\u0442\u0443 \u0440\u0435\u0434\u0430\u043a\u0446\u0438\u0438: \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u0435 \u043a\u043e\u043d\u0442\u0435\u043d\u0442-\u043f\u043b\u0430\u043d\u0430 \u0434\u043b\u044f \u0441\u043e\u0446. \u0441\u0435\u0442\u0435\u0439, \u0431\u043b\u043e\u0433\u0430, \u044e\u0442\u0443\u0431\u0430 \u0438 \u0434\u0440\u0443\u0433\u0438\u0445 \u043c\u0435\u0434\u0438\u0430; \n\u2014 \u0410\u0434\u0430\u043f\u0442\u0430\u0446\u0438\u044f \u0438 \u0430\u043a\u0442\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044f \u0440\u0435\u0434\u0430\u043a\u0446\u0438\u043e\u043d\u043d\u043e\u0439 \u043f\u043e\u043b\u0438\u0442\u0438\u043a\u0438; \n\u2014 \u0424\u043e\u0440\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u043e\u0442\u0447\u0451\u0442\u043d\u043e\u0441\u0442\u0438 (\u043f\u043e\u043a\u0430\u0437\u0430\u0442\u0435\u043b\u0438 \u0442\u0440\u0430\u0444\u0438\u043a\u0430, \u043f\u0440\u043e\u0441\u043c\u043e\u0442\u0440\u043e\u0432, \u0446\u0438\u0442\u0438\u0440\u0443\u0435\u043c\u043e\u0441\u0442\u0438; \u0432\u0435\u0441\u0442\u0438 \u0440\u0430\u0441\u0445\u043e\u0434\u044b \u043e\u0442\u0434\u0435\u043b\u0430). \n \n\u041a\u043e\u043c\u0430\u043d\u0434\u0430: \n\u2014 smm-\u043c\u0435\u043d\u0435\u0434\u0436\u0435\u0440, \n\u2014 \u043c\u0435\u043d\u0435\u0434\u0436\u0435\u0440 \u043e\u0442\u0434\u0435\u043b\u0430 \u043a\u043e\u043d\u0442\u0435\u043d\u0442\u0430, \n\u2014 \u0432\u044b\u043f\u0443\u0441\u043a\u0430\u044e\u0449\u0438\u0439 \u0440\u0435\u0434\u0430\u043a\u0442\u043e\u0440, \n\u2014 \u0444\u0440\u0438\u043b\u0430\u043d\u0441-\u0430\u0432\u0442\u043e\u0440\u044b. \n\u0412 \u0433\u043e\u0440\u0438\u0437\u043e\u043d\u0442\u0430\u043b\u044c\u043d\u043e\u043c \u0432\u0437\u0430\u0438\u043c\u043e\u0434\u0435\u0439\u0441\u0442\u0432\u0438\u0438: \u043f\u0440\u043e\u0434\u044e\u0441\u0435\u0440 \u043f\u043e\u0434\u043a\u0430\u0441\u0442\u0430 \u201c\u0431\u043b\u0438\u0437\u043a\u0438\u0435 \u043b\u044e\u0434\u0438\u201d. \n\u0412 \u0432\u0430\u0448\u0435\u0439 \u0437\u043e\u043d\u0435 \u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0441\u0442\u0438 \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u0435 \u043a\u043e\u043c\u0430\u043d\u0434\u043e\u0439 \u0438 \u0435\u0451 \u0437\u0430\u0433\u0440\u0443\u0437\u043a\u043e\u0439, \u0440\u0430\u0437\u0432\u0438\u0442\u0438\u0435 \u0441\u043e\u0442\u0440\u0443\u0434\u043d\u0438\u043a\u043e\u0432. \n \n\u041a\u0430\u043a\u0438\u0435 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0430 \u0438 \u043d\u0430\u0432\u044b\u043a\u0438 \u043d\u0430\u043c \u0432\u0430\u0436\u043d\u044b: \n\u2014 \u0412\u044b \u043b\u0438\u0434\u0438\u0440\u043e\u0432\u0430\u043b\u0438 \u043a\u043e\u043c\u0430\u043d\u0434\u0443 \u043a\u043e\u043d\u0442\u0435\u043d\u0442\u0430 \u0438 \u043e\u0442\u0432\u0435\u0447\u0430\u043b\u0438 \u0437\u0430 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0442\u043e\u0447\u0435\u043a \u043a\u043e\u043d\u0442\u0430\u043a\u0442\u0430: \u0431\u043b\u043e\u0433, \u0441\u0430\u0439\u0442, \u0441\u043e\u0446\u0441\u0435\u0442\u0438 (\u0442\u0435\u043a\u0441\u0442/\u0444\u043e\u0442\u043e/\u0432\u0438\u0434\u0435\u043e \u0441\u043e\u0446 \u0441\u0435\u0442\u0438); \n\u2014 \u0412\u044b \u0437\u043d\u0430\u0435\u0442\u0435 \u0447\u0442\u043e \u0442\u0430\u043a\u043e\u0435 \u201c\u043c\u0435\u0434\u0438\u0430 \u0441\u0435\u0433\u043e\u0434\u043d\u044f\u201d \u0438 \u0443\u043c\u0435\u0435\u0442\u0435 \u0432\u044b\u0441\u0442\u0440\u0430\u0438\u0432\u0430\u0442\u044c \u0441\u0442\u0440\u0430\u0442\u0435\u0433\u0438\u044e (\u043d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u0437\u0430\u043f\u0443\u0441\u043a/\u043f\u0435\u0440\u0435\u0437\u0430\u043f\u0443\u0441\u043a \u044e\u0442\u0443\u0431 \u043a\u0430\u043d\u0430\u043b\u0430 \u0431\u0440\u0435\u043d\u0434\u0430); \n\u2014 \u041f\u043e\u043d\u0438\u043c\u0430\u0435\u0442\u0435 \u043a\u0430\u043a \u201c\u043f\u043e\u0434\u0440\u0443\u0436\u0438\u0442\u044c\u201d \u043a\u043b\u0430\u0441\u0441\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u043c\u0430\u0440\u043a\u0435\u0442\u0438\u043d\u0433 \u0438 \u043d\u043e\u0432\u044b\u0435 \u043c\u0435\u0442\u043e\u0434\u044b, \u043c\u0435\u0434\u0438\u0430; \n\u2014 \u0417\u0430 5 \u0438 \u0431\u043e\u043b\u0435\u0435 \u043b\u0435\u0442 \u0443 \u0432\u0430\u0441 \u0435\u0441\u0442\u044c \u0441\u0432\u043e\u044f \u0431\u0430\u0437\u0430 \u0437\u043d\u0430\u043d\u0438\u0439, \u043a\u043e\u043d\u0442\u0430\u043a\u0442\u043e\u0432 \u0438 \u043f\u0440\u043e\u0432\u0435\u0440\u0435\u043d\u043d\u044b\u0445 \u043f\u043e\u0434\u0440\u044f\u0434\u0447\u0438\u043a\u043e\u0432; \n\u2014 \u041d\u0430\u043b\u0438\u0447\u0438\u0435 \u043e\u043f\u044b\u0442\u0430 \u0432 \u043f\u0438\u0448\u0443\u0449\u0435\u0439 \u0436\u0443\u0440\u043d\u0430\u043b\u0438\u0441\u0442\u0438\u043a\u0435 \u0438 \u0432 \u0431\u0440\u0435\u043d\u0434-\u043c\u0435\u0434\u0438\u0430 \u0431\u0443\u0434\u0435\u0442 \u043f\u043b\u044e\u0441\u043e\u043c. \n \n\u0423\u0441\u043b\u043e\u0432\u0438\u044f \u0438 \u043a\u043e\u043d\u0442\u0430\u043a\u0442\u044b \u043d\u0430 \u0441\u0430\u0439\u0442\u0435: https://vdhl.ru/rukovoditel-otdela-kontenta-2<<<\n\nPROMPT:\n>>>IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.\n\nIgnore text's markdowm markup, use these emojis to highlight each section: \ud83c\udfe2 for employer, \ud83d\udcbc for title, \ud83d\udccd for location, \ud83d\udd39 for tasks, \ud83d\udcb0 for salary, and \ud83d\udcde for contact.\n\nEach block should be on a new line, in the following format (keep emoji, replace text labels):\n\ud83d\udcbc title  \n\ud83c\udfe2 employer  \n\ud83d\udccd location  \n\ud83d\udd39 tasks  \n\ud83d\udcb0 salary  \n\ud83d\udcde contact details\n\nMake sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.\n\n==TEXT==\n<<<\n\nSUMMARY:\n>>>\ud83d\udcdd title  \n\u0420\u0423\u041a\u041e\u0412\u041e\u0414\u0418\u0422\u0415\u041b\u042c \u041e\u0422\u0414\u0415\u041b\u0410 \u041a\u041e\u041d\u0422\u0415\u041d\u0422\u0410  \n\n\ud83c\udfe2 employer  \n\u041f\u0435\u0440\u0438\u043e\u0434\u0438\u043a\u0430  \n\n\ud83d\udccd location  \n\u041d\u0435 \u0443\u043a\u0430\u0437\u0430\u043d\u043e  \n\n\ud83d\udd0d tasks  \n\u041e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435 \u043a\u043e\u043d\u0442\u0435\u043d\u0442-\u0441\u0442\u0440\u0430\u0442\u0435\u0433\u0438\u0438, \u0444\u043e\u0440\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u0438 \u043a\u043e\u043d\u0442\u0440\u043e\u043b\u044c \u0440\u0430\u0431\u043e\u0442\u044b \u0440\u0435\u0434\u0430\u043a\u0446\u0438\u0438, \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u0435 \u043a\u043e\u043d\u0442\u0435\u043d\u0442-\u043f\u043b\u0430\u043d\u0430 \u0434\u043b\u044f \u0441\u043e\u0446. \u0441\u0435\u0442\u0435\u0439 \u0438 \u0434\u0440\u0443\u0433\u0438\u0445 \u043c\u0435\u0434\u0438\u0430.  \n\n\ud83d\udcb0 salary  \n\u041d\u0435 \u0443\u043a\u0430\u0437\u0430\u043d\u043e  \n\n\ud83d\udcde contact  \n\u0423\u0441\u043b\u043e\u0432\u0438\u044f \u0438 \u043a\u043e\u043d\u0442\u0430\u043a\u0442\u044b \u043d\u0430 \u0441\u0430\u0439\u0442\u0435: [https://vdhl.ru/rukovoditel-otdela-kontenta-2](https://vdhl.ru/rukovoditel-otdela-kontenta-2)  <<<\nAssistant:"},{"assistant_initiates":false,"asst_text":"```json\n{\n    \"QA_pairs\": [\n        {\n            \"###C\u00e2u h\u1ecfi\": \"T\u1ea1i sao ng\u01b0\u1eddi b\u1ec7nh x\u01a1 gan tuy\u1ec7t \u0111\u1ed1i kh\u00f4ng n\u00ean u\u1ed1ng r\u01b0\u1ee3u bia?\",\n            \"###Suy lu\u1eadn\": \"R\u01b0\u1ee3u bia c\u00f3 th\u1ec3 l\u00e0m cho b\u1ec7nh gan tr\u1edf n\u00ean n\u1eb7ng n\u1ec1 h\u01a1n v\u00e0 g\u00e2y ra c\u00e1c bi\u1ebfn ch\u1ee9ng nghi\u00eam tr\u1ecdng nh\u01b0 suy gan ho\u1eb7c xu\u1ea5t huy\u1ebft. Qu\u1ea3n l\u00fd vi\u1ec7c kh\u00f4ng u\u1ed1ng r\u01b0\u1ee3u bia gi\u00fap h\u1ea1n ch\u1ebf s\u1ef1 ti\u1ebfn tri\u1ec3n c\u1ee7a b\u1ec7nh.\",\n            \"###C\u00e2u tr\u1ea3 l\u1eddi\": \"Ng\u01b0\u1eddi b\u1ec7nh x\u01a1 gan kh\u00f4ng n\u00ean u\u1ed1ng r\u01b0\u1ee3u bia v\u00ec n\u00f3 l\u00e0m b\u1ec7nh n\u1eb7ng th\u00eam v\u00e0 c\u00f3 th\u1ec3 d\u1eabn \u0111\u1ebfn suy gan ho\u1eb7c xu\u1ea5t huy\u1ebft.\"\n        },\n        {\n            \"###C\u00e2u h\u1ecfi\": \"T\u1ea7m quan tr\u1ecdng c\u1ee7a vi\u1ec7c th\u0103m kh\u00e1m \u0111\u1ecbnh k\u1ef3 cho ng\u01b0\u1eddi b\u1ec7nh x\u01a1 gan l\u00e0 g\u00ec?\",\n            \"###Suy lu\u1eadn\": \"Kh\u00e1m \u0111\u1ecbnh k\u1ef3 gi\u00fap theo d\u00f5i t\u00ecnh tr\u1ea1ng x\u01a1 gan v\u00e0 ph\u00e1t hi\u1ec7n s\u1edbm ung th\u01b0 gan. Khi ph\u00e1t hi\u1ec7n ung th\u01b0 gan s\u1edbm v\u00e0 kh\u1ed1i u nh\u1ecf, c\u00f3 c\u01a1 h\u1ed9i \u0111i\u1ec1u tr\u1ecb tri\u1ec7t c\u0103n v\u00e0 lo\u1ea1i b\u1ecf kh\u1ed1i u.\",\n            \"###C\u00e2u tr\u1ea3 l\u1eddi\": \"Th\u0103m kh\u00e1m \u0111\u1ecbnh k\u1ef3 gi\u00fap theo d\u00f5i x\u01a1 gan v\u00e0 ph\u00e1t hi\u1ec7n s\u1edbm ung th\u01b0 gan \u0111\u1ec3 c\u00f3 th\u1ec3 \u0111i\u1ec1u tr\u1ecb hi\u1ec7u qu\u1ea3 h\u01a1n.\"\n        },\n        {\n            \"###C\u00e2u h\u1ecfi\": \"C\u00e1c tri\u1ec7u ch\u1ee9ng \u0111i\u1ec3n h\u00ecnh c\u1ee7a ung th\u01b0 gan HCC tr\u00ean n\u1ec1n x\u01a1 gan l\u00e0 g\u00ec?\",\n            \"###Suy lu\u1eadn\": \"B\u1ec7nh nh\u00e2n th\u01b0\u1eddng c\u00f3 c\u00e1c tri\u1ec7u ch\u1ee9ng suy gan m\u1ea5t b\u00f9 nh\u01b0 v\u00e0ng da, ng\u1ee9a, c\u1ed5 tr\u01b0\u1edbng, v\u00e0 \u0111au b\u1ee5ng, c\u00f9ng v\u1edbi c\u00e1c tri\u1ec7u ch\u1ee9ng kh\u00e1c nh\u01b0 s\u1ed1t, s\u00fat c\u00e2n, v\u00e0 c\u1ea3m gi\u00e1c no s\u1edbm do b\u1ed1i c\u1ea3nh x\u01a1 gan v\u00e0 ung th\u01b0.\",\n            \"###C\u00e2u tr\u1ea3 l\u1eddi\": \"Tri\u1ec7u ch\u1ee9ng \u0111i\u1ec3n h\u00ecnh c\u1ee7a ung th\u01b0 gan HCC tr\u00ean n\u1ec1n x\u01a1 gan bao g\u1ed3m v\u00e0ng da, \u0111au b\u1ee5ng, ng\u1ee9a, c\u1ed5 tr\u01b0\u1edbng, v\u00e0 suy nh\u01b0\u1ee3c.\"\n        }\n    ]\n}\n```","behavior":"degenerate_repetition","conversation_hash":"f17e6d995aac3b33238990b53f9cc64b","conversation_redacted":false,"conversation_toxic":false,"country":"Spain","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Vietnamese","model":"gpt-4o-2024-08-06","n_chars":8133,"n_turns_in_conversation":1,"n_words":1618,"source_row_offset":37063,"source_shard":"turns-00047.parquet","timestamp":"Thu, 07 Nov 2024 20:45:33 GMT","turn_id":"7aa552086ec0b1b3e202d94e","turn_index":0,"user_text":"B\u1ea1n s\u1ebd nh\u1eadn \u0111\u01b0\u1ee3c m\u1ed9t \u0111o\u1ea1n ng\u1eef c\u1ea3nh m\u00f4 t\u1ea3 m\u1ed9t s\u1ef1 ki\u1ec7n ho\u1eb7c kh\u00e1i ni\u1ec7m c\u1ee5 th\u1ec3. D\u1ef1a tr\u00ean ng\u1eef c\u1ea3nh, h\u00e3y t\u1ea1o ra 3 c\u1eb7p c\u00e2u h\u1ecfi v\u00e0 c\u00e2u tr\u1ea3 l\u1eddi \u0111i k\u00e8m. H\u00e3y \u0111\u1ea3m b\u1ea3o r\u1eb1ng c\u00e2u tr\u1ea3 l\u1eddi c\u00f3 s\u1ef1 gi\u1ea3i th\u00edch t\u1eebng b\u01b0\u1edbc ho\u1eb7c m\u00f4 t\u1ea3 chi ti\u1ebft (Chain of Thought) \u0111\u1ec3 ng\u01b0\u1eddi \u0111\u1ecdc hi\u1ec3u r\u00f5 h\u01a1n v\u1ec1 n\u1ed9i dung c\u00e2u tr\u1ea3 l\u1eddi.\n    Y\u00eau c\u1ea7u: T\u1ea1o 3 c\u1eb7p c\u00e2u h\u1ecfi v\u00e0 c\u00e2u tr\u1ea3 l\u1eddi. H\u00e3y l\u01b0u \u00fd cung c\u1ea5p c\u00e2u tr\u1ea3 l\u1eddi theo t\u1eebng b\u01b0\u1edbc suy lu\u1eadn, ho\u1eb7c \u0111\u01b0a ra c\u00e1c y\u1ebfu t\u1ed1 gi\u1ea3i th\u00edch r\u00f5 r\u00e0ng li\u00ean quan \u0111\u1ebfn c\u00e2u tr\u1ea3 l\u1eddi (Chain of Thought). B\u01b0\u1edbc suy lu\u1eadn s\u1ebd l\u1ea5y th\u00f4ng tin t\u1eeb ng\u1eef c\u1ea3nh v\u00e0 c\u00e2u tr\u1ea3 l\u1eddi s\u1ebd \u1edf d\u1ea1ng ng\u1eafn g\u1ecdn, s\u00fac t\u00edch.\n\n    C\u00e2u h\u1ecfi \u0111\u01b0\u1ee3c b\u1ecf v\u00e0o tag ###C\u00e2u h\u1ecfi:\n    Suy lu\u1eadn \u0111\u01b0\u1ee3c b\u1ecf v\u00e0o tag ###Suy lu\u1eadn:\n    C\u00e2u tr\u1ea3 l\u1eddi \u0111\u01b0\u1ee3c b\u1ecf v\u00e0o tag \u0111\u1eb7c bi\u1ec7t ###C\u00e2u tr\u1ea3 l\u1eddi:\n\n    N\u1ebfu ng\u1eef c\u1ea3nh kh\u00f4ng c\u00f3 \u00fd ngh\u0129a, b\u1ea1n h\u00e3y output \"Ng\u1eef c\u1ea3nh kh\u00f4ng gi\u00e1 tr\u1ecb\"\n    Tr\u1ea3 l\u1eddi b\u1eb1ng ti\u1ebfng Vi\u1ec7t\n    Tr\u1ea3 cho t\u00f4i output d\u01b0\u1edbi d\u1ea1ng json \u0111\u1ec3 c\u00f3 th\u1ec3 tr\u00edch xu\u1ea5t m\u1ed9t c\u00e1ch d\u1ec5 d\u00e0ng\n\n    V\u00ed d\u1ee5:\n    ### Ng\u1eef c\u1ea3nh: \u1ea2nh h\u01b0\u1edfng c\u1ee7a d\u1ea7u h\u1ea1t c\u1ea3i trong ch\u1ebf \u0111\u1ed9 \u0103n \u0111\u1ed1i v\u1edbi c\u00e1c nh\u00f3m lipid v\u00e0 m\u00f4 h\u00ecnh HFA c\u1ee7a tim chu\u1ed9t TH v\u00e0 ty th\u1ec3 \u0111\u00e3 \u0111\u01b0\u1ee3c nghi\u00ean c\u1ee9u. T3 cho \u0103n ch\u1ebf \u0111\u1ed9 \u0103n c\u00f3 axit erucic tr\u1ecdng l\u01b0\u1ee3ng trong nhi\u1ec1u ng\u00e0y v\u00e0 axit erucic trong nhi\u1ec1u ng\u00e0y, chu\u1ed9t \u0111\u01b0\u1ee3c \u0111i\u1ec1u tr\u1ecb b\u1eb1ng axit erucic cho th\u1ea5y s\u1ef1 gia t\u0103ng \u0111\u00e1ng k\u1ec3 v\u1ec1 t\u1ef7 l\u1ec7 m\u1eafc b\u1ec7nh. triglycerid c\u1ee7a ty th\u1ec3 c\u1ee7a tim xu h\u01b0\u1edbng n\u00e0y \u00edt r\u00f5 r\u1ec7t h\u01a1n \u1edf nh\u1eefng con chu\u1ed9t \u0111\u01b0\u1ee3c \u0111i\u1ec1u tr\u1ecb b\u1eb1ng axit resp erucic. Nh\u1eefng k\u1ebft qu\u1ea3 n\u00e0y x\u00e1c nh\u1eadn k\u1ebft qu\u1ea3 c\u1ee7a nh\u1eefng nh\u00e0 nghi\u00ean c\u1ee9u kh\u00e1c. C\u00f3 th\u1ec3 th\u1ea5y s\u1ef1 gia t\u0103ng nh\u1eb9 trong cholesterol ester c\u1ee7a ty th\u1ec3 \u1edf t\u1ea5t c\u1ea3 nh\u1eefng con chu\u1ed9t \u0111\u01b0\u1ee3c \u0111i\u1ec1u tr\u1ecb, t\u1ed5ng l\u01b0\u1ee3ng phospholipid \u0111\u00e3 gi\u1ea3m trong th\u00ed nghi\u1ec7m v\u1edbi axit erucic v\u00e0 t\u0103ng nh\u1eb9 trong th\u00ed nghi\u1ec7m v\u1edbi axit erucic n\u1ed3ng \u0111\u1ed9 phosphatidylcholine c\u00f3 xu h\u01b0\u1edbng t\u0103ng v\u00e0 n\u1ed3ng \u0111\u1ed9 phosphatidyletanolamine gi\u1ea3m trong th\u00ed nghi\u1ec7m v\u1edbi axit erucic trong kh\u1ea9u ph\u1ea7n n\u1ed3ng \u0111\u1ed9 CL h\u1ea7u nh\u01b0 kh\u00f4ng thay \u0111\u1ed5i trong t\u1ea5t c\u1ea3 c\u00e1c th\u00ed nghi\u1ec7m triglycerid c\u1ee7a ty th\u1ec3 c\u1ee7a tim cho th\u1ea5y h\u00e0m l\u01b0\u1ee3ng axit erucic cao c\u00e1c axit b\u00e9o c\u1ee7a CE c\u1ee7a ty th\u1ec3 c\u1ee7a tim c\u0169ng b\u1ecb \u1ea3nh h\u01b0\u1edfng b\u1edfi d\u1ea7u h\u1ea1t c\u1ea3i trong ch\u1ebf \u0111\u1ed9 \u0103n u\u1ed1ng nh\u01b0ng \u1edf m\u1ee9c \u0111\u1ed9 th\u1ea5p h\u01a1n so v\u1edbi ch\u1ea5t b\u00e9o trung t\u00ednh, c\u00e1c axit b\u00e9o c\u1ee7a phosphatidylcholine phosphatidyletanolamine v\u00e0 cardiolipin \u0111\u1ec1u b\u1ecb \u1ea3nh h\u01b0\u1edfng b\u1edfi ch\u1ebf \u0111\u1ed9 \u0103n u\u1ed1ng d\u1ea7u h\u1ea1t c\u1ea3i nh\u01b0ng axit erucic d\u01b0\u1eddng nh\u01b0 c\u00f3 \u00e1i l\u1ef1c TPS v\u1edbi CL cardiolipin c\u1ee7a ty th\u1ec3 HR c\u1ee7a chu\u1ed9t \u0111\u00e3 \u0111\u01b0\u1ee3c ph\u00e2n l\u1eadp v\u00e0 x\u00e1c \u0111\u1ecbnh b\u1eb1ng s\u1eafc k\u00fd kh\u00ed v\u00e0 ph\u00e9p \u0111o ph\u1ed5 kh\u1ed1i, CL c\u00f4 l\u1eadp \u0111\u01b0\u1ee3c ph\u00e1t hi\u1ec7n c\u00f3 ch\u1ee9a ph\u1ea7n tr\u0103m axit erucic T3 cho \u0103n axit erucic nh\u01b0 d\u1ea7u h\u1ea1t c\u1ea3i trong nhi\u1ec1u ng\u00e0y t\u01b0\u01a1ng t\u1ef1 K\u1ebft qu\u1ea3 thu \u0111\u01b0\u1ee3c l\u00e0 T3 FF glyceryl trierucate trong nhi\u1ec1u ng\u00e0y \u0111\u1ed1i v\u1edbi chu\u1ed9t. S\u1ef1 k\u1ebft h\u1ee3p c\u1ee7a axit erucic v\u00e0o CL, sau \u0111\u00f3 l\u00e0 s\u1ef1 gi\u1ea3m t\u01b0\u01a1ng \u1ee9ng c\u1ee7a axit linoleic. Quan s\u00e1t n\u00e0y r\u1ea5t \u0111\u00e1ng quan t\u00e2m v\u00ec c\u1ea5u tr\u00fac ph\u00e2n t\u1eed c\u1ee7a axit b\u00e9o trong ph\u00e2n t\u1eed lipid c\u00f3 \u1ea3nh h\u01b0\u1edfng s\u00e2u s\u1eafc \u0111\u1ebfn vi\u1ec7c \u0111\u00f3ng g\u00f3i c\u1ee7a c\u00e1c ph\u00e2n t\u1eed n\u00e0y trong m\u1ed9t l\u1edbp k\u00e9p v\u00ec cardiolipin l\u00e0 m\u1ed9t th\u00e0nh ph\u1ea7n c\u1ee7a IM c\u1ee7a ty th\u1ec3, \u00e1i l\u1ef1c cao c\u1ee7a n\u00f3 v\u1edbi axit erucic c\u00f3 th\u1ec3 \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn CF b\u00ecnh th\u01b0\u1eddng c\u1ee7a m\u00e0ng trong c\u1ee7a ty th\u1ec3 tim\n    ### \u0110\u1ea7u ra: \n    \n    json```{\n        \"QA_pairs\": [\n            {\n                \"###C\u00e2u h\u1ecfi\": \"Axit erucic \u1ea3nh h\u01b0\u1edfng nh\u01b0 th\u1ebf n\u00e0o \u0111\u1ebfn h\u00e0m l\u01b0\u1ee3ng triglycerid trong ty th\u1ec3 c\u1ee7a tim chu\u1ed9t?\",\n                \"###Suy lu\u1eadn\": \"Khi chu\u1ed9t \u0111\u01b0\u1ee3c cho \u0103n ch\u1ebf \u0111\u1ed9 c\u00f3 axit erucic, t\u1ef7 l\u1ec7 m\u1eafc b\u1ec7nh li\u00ean quan \u0111\u1ebfn h\u00e0m l\u01b0\u1ee3ng triglycerid trong ty th\u1ec3 tim t\u0103ng l\u00ean \u0111\u00e1ng k\u1ec3. Tuy nhi\u00ean, s\u1ef1 gia t\u0103ng n\u00e0y kh\u00f4ng r\u00f5 r\u1ec7t \u1edf chu\u1ed9t \u0111\u01b0\u1ee3c \u0111i\u1ec1u tr\u1ecb b\u1eb1ng lo\u1ea1i axit erucic kh\u00e1c, cho th\u1ea5y \u1ea3nh h\u01b0\u1edfng ph\u1ee5 thu\u1ed9c v\u00e0o lo\u1ea1i axit erucic s\u1eed d\u1ee5ng.\",\n                \"###C\u00e2u tr\u1ea3 l\u1eddi\": \"Axit erucic l\u00e0m t\u0103ng h\u00e0m l\u01b0\u1ee3ng triglycerid trong ty th\u1ec3 tim chu\u1ed9t, nh\u01b0ng \u1ea3nh h\u01b0\u1edfng ph\u1ee5 thu\u1ed9c v\u00e0o lo\u1ea1i axit erucic c\u1ee5 th\u1ec3.\"\n            },\n            {\n                \"###C\u00e2u h\u1ecfi\": \"D\u1ea7u h\u1ea1t c\u1ea3i trong ch\u1ebf \u0111\u1ed9 \u0103n c\u00f3 t\u00e1c \u0111\u1ed9ng nh\u01b0 th\u1ebf n\u00e0o \u0111\u1ebfn c\u00e1c lo\u1ea1i phospholipid trong ty th\u1ec3 c\u1ee7a tim?\",\n                \"###Suy lu\u1eadn\": \"C\u00e1c nghi\u00ean c\u1ee9u cho th\u1ea5y t\u1ed5ng l\u01b0\u1ee3ng phospholipid gi\u1ea3m khi chu\u1ed9t \u0111\u01b0\u1ee3c cho \u0103n axit erucic t\u1eeb d\u1ea7u h\u1ea1t c\u1ea3i. Ngo\u00e0i ra, n\u1ed3ng \u0111\u1ed9 phosphatidylcholine t\u0103ng trong khi n\u1ed3ng \u0111\u1ed9 phosphatidyletanolamine gi\u1ea3m. C\u00e1c axit b\u00e9o c\u1ee7a phosphatidylcholine, phosphatidyletanolamine v\u00e0 cardiolipin \u0111\u1ec1u b\u1ecb \u1ea3nh h\u01b0\u1edfng.\",\n                \"###C\u00e2u tr\u1ea3 l\u1eddi\": \"D\u1ea7u h\u1ea1t c\u1ea3i l\u00e0m gi\u1ea3m t\u1ed5ng l\u01b0\u1ee3ng phospholipid, t\u0103ng phosphatidylcholine v\u00e0 gi\u1ea3m phosphatidyletanolamine trong ty th\u1ec3 tim.\"\n            },\n            {\n                \"###C\u00e2u h\u1ecfi\": \"S\u1ef1 k\u1ebft h\u1ee3p c\u1ee7a axit erucic v\u00e0o cardiolipin \u1ea3nh h\u01b0\u1edfng g\u00ec \u0111\u1ebfn m\u00e0ng trong c\u1ee7a ty th\u1ec3 tim?\",\n                \"###Suy lu\u1eadn\": \"Cardiolipin l\u00e0 th\u00e0nh ph\u1ea7n quan tr\u1ecdng c\u1ee7a m\u00e0ng trong ty th\u1ec3, v\u00e0 s\u1ef1 k\u1ebft h\u1ee3p c\u1ee7a axit erucic v\u00e0o cardiolipin l\u00e0m gi\u1ea3m axit linoleic, c\u00f3 th\u1ec3 \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn vi\u1ec7c \u0111\u00f3ng g\u00f3i lipid trong l\u1edbp k\u00e9p. V\u00ec axit erucic c\u00f3 \u00e1i l\u1ef1c cao v\u1edbi cardiolipin, \u0111i\u1ec1u n\u00e0y c\u00f3 th\u1ec3 t\u00e1c \u0111\u1ed9ng \u0111\u1ebfn ch\u1ee9c n\u0103ng c\u1ee7a m\u00e0ng trong ty th\u1ec3 tim.\",\n                \"###C\u00e2u tr\u1ea3 l\u1eddi\": \"Axit erucic trong cardiolipin c\u00f3 th\u1ec3 l\u00e0m thay \u0111\u1ed5i ch\u1ee9c n\u0103ng c\u1ee7a m\u00e0ng trong ty th\u1ec3 tim do \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn c\u1ea5u tr\u00fac l\u1edbp lipid k\u00e9p.\"\n            }\n        ]\n    }```\n\n    \n\n    ### Ng\u1eef c\u1ea3nh: X\u01a1 gan s\u1ebd khi\u1ebfn ch\u1ee9c n\u0103ng gan gan tr\u1edf n\u00ean k\u00e9m \u0111i, s\u1ee9c \u0111\u1ec1 kh\u00e1ng c\u1ee7a ng\u01b0\u1eddi b\u1ec7nh b\u1ecb gi\u1ea3m, t\u1eeb \u0111\u00f3 k\u00e9o theo c\u00e1c b\u1ec7nh l\u00fd v\u1ec1 \u0111\u01b0\u1eddng ru\u1ed9t, ti\u1ebft ni\u1ec7u, h\u00f4 h\u1ea5p, v\u00e0 \u0111\u1ed3ng th\u1eddi g\u00e2y bi\u1ebfn ch\u1ee9ng nguy hi\u1ec3m, x\u1ea5u nh\u1ea5t l\u00e0 ung th\u01b0 gan.\n 1.3 Qu\u1ea3n l\u00fd x\u01a1 gan \u0111\u00fang c\u00e1ch, ng\u0103n ti\u1ebfn tri\u1ec3n th\u00e0nh ung th\u01b0 gan\n Do \u0111\u00f3, qu\u1ea3n l\u00fd x\u01a1 gan \u0111\u1ec3 tr\u00ec ho\u00e3n s\u1ef1 xu\u1ea5t hi\u1ec7n c\u1ee7a c\u00e1c bi\u1ebfn ch\u1ee9ng c\u0169ng nh\u01b0 \u0111i\u1ec1u tr\u1ecb s\u1edbm c\u00e1c bi\u1ebfn ch\u1ee9ng l\u00e0 m\u1ed9t c\u00e1ch h\u1eefu hi\u1ec7u c\u1ea3 trong v\u00e0 sau \u0111i\u1ec1u tr\u1ecb ung th\u01b0 bi\u1ec3u m\u00f4 t\u1ebf b\u00e0o gan v\u00e0 c\u0169ng l\u00e0 \u0111i\u1ec1u t\u1ed1i quan tr\u1ecdng \u0111\u1ec3 c\u1ea3i thi\u1ec7n t\u1ef7 l\u1ec7 m\u1eafc b\u1ec7nh v\u00e0 t\u1eed vong.\n Khi \u0111\u01b0\u1ee3c ch\u1ea9n \u0111o\u00e1n x\u01a1 gan do b\u1ea5t k\u1ec3 nguy\u00ean nh\u00e2n n\u00e0o th\u00ec ng\u01b0\u1eddi b\u1ec7nh tuy\u1ec7t \u0111\u1ed1i kh\u00f4ng \u0111\u01b0\u1ee3c u\u1ed1ng r\u01b0\u1ee3u bia. B\u1edfi r\u01b0\u1ee3u bia s\u1ebd l\u00e0m b\u1ec7nh gan ti\u1ebfn tri\u1ec3n n\u1eb7ng n\u1ec1 h\u01a1n d\u1eabn \u0111\u1ebfn suy gan ho\u1eb7c xu\u1ea5t huy\u1ebft. Ngo\u00e0i ra ng\u01b0\u1eddi b\u1ec7nh x\u01a1 gan c\u0169ng c\u1ea7n th\u1ef1c hi\u1ec7n th\u0103m kh\u00e1m t\u1ed1i thi\u1ec3u 6 th\u00e1ng/ l\u1ea7n \u0111\u1ec3 t\u1ea7m so\u00e1t ung th\u01b0 gan. Trong tr\u01b0\u1eddng h\u1ee3p ph\u00e1t hi\u1ec7n c\u00e0ng s\u1edbm, kh\u1ed1i u gan k\u00edch th\u01b0\u1edbc nh\u1ecf (<3cm) b\u1ec7nh nh\u00e2n c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c \u0111i\u1ec1u tr\u1ecb tri\u1ec7t c\u0103n, lo\u1ea1i b\u1ecf kh\u1ed1i u gan.\n 2. T\u1ed5ng quan v\u1ec1 b\u1ec7nh ung th\u01b0 gan HCC tr\u00ean n\u1ec1n x\u01a1 gan\n 2.1 Tri\u1ec7u ch\u1ee9ng c\u1ee7a ung th\u01b0 gan HCC tr\u00ean n\u1ec1n x\u01a1 gan\n Ung th\u01b0 bi\u1ec3u m\u00f4 t\u1ebf b\u00e0o gan (HCC) l\u00e0 b\u1ec7nh ung th\u01b0 nguy\u00ean ph\u00e1t c\u1ee7a t\u1ebf b\u00e0o gan (t\u1ebf b\u00e0o gan) th\u01b0\u1eddng x\u1ea3y ra nh\u1ea5t trong b\u1ed1i c\u1ea3nh c\u00f3 c\u00e1c y\u1ebfu t\u1ed1 nguy c\u01a1 \u0111\u00e3 bi\u1ebft bao g\u1ed3m x\u01a1 gan v\u00e0 nhi\u1ec5m virus vi\u00eam gan m\u00e3n t\u00ednh.\n B\u1ec7nh nh\u00e2n ung th\u01b0 gan tr\u00ean n\u1ec1n x\u01a1 gan c\u00f3 bi\u1ec3u hi\u1ec7n c\u00e1c tri\u1ec7u ch\u1ee9ng suy gan m\u1ea5t b\u00f9 bao g\u1ed3m v\u00e0ng da n\u1eb7ng h\u01a1n, ng\u1ee9a, b\u1ec7nh n\u00e3o gan, c\u1ed5 tr\u01b0\u1edbng, s\u1edd th\u1ea5y kh\u1ed1i u v\u00f9ng b\u1ee5ng tr\u00ean, s\u1ed1t, kh\u00f3 ch\u1ecbu, s\u1ee5t c\u00e2n, c\u1ea3m gi\u00e1c no s\u1edbm, ch\u01b0\u1edbng b\u1ee5ng v\u00e0 suy nh\u01b0\u1ee3c. Ngo\u00e0i ra, \u0111au b\u1ee5ng l\u00e0 bi\u1ec3u hi\u1ec7n ph\u1ed5 bi\u1ebfn c\u1ee7a HCC.\n 2.2 Ch\u1ea9n \u0111o\u00e1n ung th\u01b0 bi\u1ec3u m\u00f4 t\u1ebf b\u00e0o gan tr\u00ean n\u1ec1n x\u01a1 gan\n Tr\u01b0\u1edbc ti\u00ean ng\u01b0\u1eddi b\u1ec7nh s\u1ebd \u0111\u01b0\u1ee3c h\u1ecfi v\u1ec1 ti\u1ec1n s\u1eed b\u1ec7nh bao g\u1ed3m c\u00e1c b\u1ec7nh l\u00fd b\u1ea1n \u0111\u00e3 v\u00e0 \u0111ang m\u1eafc, tri\u1ec7u ch\u1ee9ng, c\u00e1c v\u1ea5n \u0111\u1ec1 s\u1ee9c kh\u1ecfe, th\u00f4ng tin c\u00e1 nh\u00e2n li\u00ean quan.\n    ### \u0110\u1ea7u ra\n    "},{"assistant_initiates":false,"asst_text":"False","behavior":"degenerate_repetition","conversation_hash":"c4b9ffc9dc146b412edafe955c2e1105","conversation_redacted":false,"conversation_toxic":false,"country":"United States","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":747,"n_turns_in_conversation":1,"n_words":110,"source_row_offset":37064,"source_shard":"turns-00047.parquet","timestamp":"Thu, 07 Nov 2024 20:45:36 GMT","turn_id":"9fc6ed7552d74e474e1537cd","turn_index":0,"user_text":"System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. Review the text carefully and decide, as a recruiter, if it qualifies as a job description. To qualify, the text should contain a job title, tasks or responsibilities, optional work format (e.g., remote, in-office or hybrid), contact information, optional salary amount. Multiple job descriptions at once do not quialify. Respond strictly with either 'True' or 'False'.\n\n==TEXT==\n\nUser: \ud83d\udfe5 ServiceNow CMDB Specialist | 3 year(s) | Senior\n\u25ab\ufe0f Zalando | E-commerce\n\u25ab\ufe0f Germany | Berlin\n\n\u041e\u0444\u0438\u0441 \ud83c\udfe2 | \u0414\u043e\u0441\u0442\u0443\u043f\u043d\u0430 \u0440\u0435\u043b\u043e\u043a\u0430\u0446\u0438\u044f \u2708\ufe0f\n\u0422\u0440\u0435\u0431\u0443\u0435\u043c\u044b\u0435 \u044f\u0437\u044b\u043a\u0438: \ud83c\uddec\ud83c\udde7\n\nSkills: data_science/data_engineering\nTags: #red #it #relocation #it_systems_admin\n\n\ud83d\udc49 \u041a\u043e\u043d\u0442\u0430\u043a\u0442\u044b \u0438 \u043f\u043e\u043b\u043d\u043e\u0435 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435\nAssistant:"}],"shard":{"index":47,"name":"turns-00047.parquet","rows":41733}}