{"behavior":"degenerate_repetition","label_filter":null,"limit":10,"next_offset":29765,"offset":29755,"previous_offset":null,"rows":[{"assistant_initiates":false,"asst_text":"\ud83d\udcbc \u041c\u0435\u043d\u0435\u0434\u0436\u0435\u0440 \u043f\u043e \u043f\u0440\u043e\u0434\u0430\u0436\u0430\u043c \u0438 \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044e \u043a\u043b\u0438\u0435\u043d\u0442\u043e\u0432  \n\ud83c\udfe2 [\u0418\u043c\u044f \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0438 \u043d\u0435 \u0443\u043a\u0430\u0437\u0430\u043d\u043e]  \n\ud83d\udccd [\u041c\u0435\u0441\u0442\u043e\u043f\u043e\u043b\u043e\u0436\u0435\u043d\u0438\u0435 \u043d\u0435 \u0443\u043a\u0430\u0437\u0430\u043d\u043e]  \n\ud83d\udd39 \u041e\u0431\u0449\u0430\u0442\u044c\u0441\u044f \u0441 \u043a\u043b\u0438\u0435\u043d\u0442\u0430\u043c\u0438, \u0441\u043a\u043b\u043e\u043d\u043d\u044b\u043c\u0438 \u043a \u043e\u0442\u0442\u043e\u043a\u0443, \u043f\u043e\u0432\u044b\u0448\u0430\u0442\u044c \u043b\u043e\u044f\u043b\u044c\u043d\u043e\u0441\u0442\u044c \u0438 \u0441\u043e\u0445\u0440\u0430\u043d\u044f\u0442\u044c \u043a\u043b\u0438\u0435\u043d\u0442\u043e\u0432, \u0432\u0437\u0430\u0438\u043c\u043e\u0434\u0435\u0439\u0441\u0442\u0432\u043e\u0432\u0430\u0442\u044c \u0441 \u043f\u043e\u0434\u0440\u0430\u0437\u0434\u0435\u043b\u0435\u043d\u0438\u044f\u043c\u0438 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0438 \u0434\u043b\u044f \u0440\u0435\u0448\u0435\u043d\u0438\u044f \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u0432\u043e\u043f\u0440\u043e\u0441\u043e\u0432.  \n\ud83d\udcb0 45 000 \u2013 65 000 \u20bd \u0434\u043e \u0432\u044b\u0447\u0435\u0442\u0430 \u043d\u0430\u043b\u043e\u0433\u043e\u0432  \n\ud83d\udcde +78007377715  ","behavior":"degenerate_repetition","conversation_hash":"8d3d61e67459e4b6b2a7b80d5cb8f599","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":1850,"n_turns_in_conversation":1,"n_words":287,"source_row_offset":29755,"source_shard":"turns-00047.parquet","timestamp":"Thu, 07 Nov 2024 19:08:29 GMT","turn_id":"5553ab20fcde040f7a6f4aac","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: \u041c\u0435\u043d\u0435\u0434\u0436\u0435\u0440 \u043f\u043e \u043f\u0440\u043e\u0434\u0430\u0436\u0430\u043c \u0438 \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044e \u043a\u043b\u0438\u0435\u043d\u0442\u043e\u0432\n45 000 \u2013 65 000 \u20bd \u0434\u043e \u0432\u044b\u0447\u0435\u0442\u0430 \u043d\u0430\u043b\u043e\u0433\u043e\u0432\n\n\u041e\u0431\u044f\u0437\u0430\u043d\u043d\u043e\u0441\u0442\u0438:\n\u2022 \u041e\u0431\u0449\u0430\u0442\u044c\u0441\u044f \u0441 \u043a\u043b\u0438\u0435\u043d\u0442\u0430\u043c\u0438, \u0441\u043a\u043b\u043e\u043d\u043d\u044b\u043c\u0438 \u043a \u043e\u0442\u0442\u043e\u043a\u0443, \u043f\u043e \u0440\u0430\u043d\u0435\u0435 \u043e\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u043d\u044b\u043c \u0437\u0430\u044f\u0432\u043a\u0430\u043c;\n\u2022 \u041f\u043e\u0432\u044b\u0448\u0430\u0442\u044c \u043b\u043e\u044f\u043b\u044c\u043d\u043e\u0441\u0442\u044c \u0438 \u0441\u043e\u0445\u0440\u0430\u043d\u044f\u0442\u044c \u043a\u043b\u0438\u0435\u043d\u0442\u043e\u0432;\n\u2022 \u0412\u0437\u0430\u0438\u043c\u043e\u0434\u0435\u0439\u0441\u0442\u0432\u043e\u0432\u0430\u0442\u044c \u0441 \u043f\u043e\u0434\u0440\u0430\u0437\u0434\u0435\u043b\u0435\u043d\u0438\u044f\u043c\u0438 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0438 \u0434\u043b\u044f \u0440\u0435\u0448\u0435\u043d\u0438\u044f \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u0432\u043e\u043f\u0440\u043e\u0441\u043e\u0432.\n\n\u0422\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f:\n\u2022 \u0423\u043c\u0435\u043d\u0438\u0435 \u043b\u0435\u0433\u043a\u043e \u0443\u0441\u0442\u0430\u043d\u0430\u0432\u043b\u0438\u0432\u0430\u0442\u044c \u043a\u043e\u043d\u0442\u0430\u043a\u0442 \u0441 \u043d\u043e\u0432\u044b\u043c\u0438 \u043b\u044e\u0434\u044c\u043c\u0438;\n\u2022 \u0421\u043f\u043e\u0441\u043e\u0431\u043d\u043e\u0441\u0442\u044c \u0431\u044b\u0441\u0442\u0440\u043e \u043e\u0431\u0443\u0447\u0430\u0442\u044c\u0441\u044f \u0438 \u043e\u0440\u0438\u0435\u043d\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c\u0441\u044f \u0432 \u043f\u043e\u0442\u043e\u043a\u0435 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438;\n\u2022 \u041e\u043f\u044b\u0442 \u0440\u0430\u0431\u043e\u0442\u044b \u0441 \u043a\u043b\u0438\u0435\u043d\u0442\u0430\u043c\u0438 \u0432 \u043a\u0440\u0443\u043f\u043d\u044b\u0445 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u044f\u0445 \u043f\u0440\u0438\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u0435\u0442\u0441\u044f.\n\n\u041c\u044b \u043f\u0440\u0435\u0434\u043b\u0430\u0433\u0430\u0435\u043c:\n\u2022 \u0412\u043b\u0438\u044f\u0442\u044c \u043d\u0430 \u0441\u0432\u043e\u0439 \u0437\u0430\u0440\u0430\u0431\u043e\u0442\u043e\u043a \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u043f\u0440\u0435\u043c\u0438\u0438;\n\u2022 \u0413\u0438\u0431\u043a\u0438\u0439 \u0433\u0440\u0430\u0444\u0438\u043a \u0440\u0430\u0431\u043e\u0442\u044b;\n\u2022 \u0414\u041c\u0421 \u0441 \u043f\u0435\u0440\u0432\u043e\u0433\u043e \u043c\u0435\u0441\u044f\u0446\u0430 \u0440\u0430\u0431\u043e\u0442\u044b \u0438 \u0434\u0440\u0443\u0433\u0438\u0435 \u043b\u044c\u0433\u043e\u0442\u044b;\n\u2022 \u0412\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u044c \u043a\u0430\u0440\u044c\u0435\u0440\u043d\u043e\u0433\u043e \u0440\u043e\u0441\u0442\u0430 \u0438 \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f.\n\n\u041a\u043e\u043d\u0442\u0430\u043a\u0442\u044b:\n+78007377715\nAssistant:"},{"assistant_initiates":false,"asst_text":"\ud83d\udcbc \u0421\u0438\u0441\u0442\u0435\u043c\u043d\u044b\u0439 \u0430\u043d\u0430\u043b\u0438\u0442\u0438\u043a (Middle/Senior)  \n\ud83c\udfe2 \u041e\u041e\u041e \"WMT Group\"  \n\ud83d\udccd \u0423\u0434\u0430\u043b\u0435\u043d\u043d\u043e  \n\ud83d\udd39 \u0421\u0431\u043e\u0440 \u0438 \u0430\u043d\u0430\u043b\u0438\u0437 \u0431\u0438\u0437\u043d\u0435\u0441-\u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u0439, \u0441\u043e\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u0438\u0435 \u0442\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u0438, \u0443\u0447\u0430\u0441\u0442\u0438\u0435 \u0432 \u043f\u0440\u043e\u0435\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0438 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b \u0441\u0438\u0441\u0442\u0435\u043c\u044b  \n\ud83d\udcb0 155 000 \u2013 180 000 \u20bd \u043d\u0430 \u0440\u0443\u043a\u0438  \n\ud83d\udcde +79774927534, emironova@wmtgroup.ru  ","behavior":"degenerate_repetition","conversation_hash":"f1ee7236dbe8b1232e449f85b758c59f","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":2209,"n_turns_in_conversation":1,"n_words":319,"source_row_offset":29756,"source_shard":"turns-00047.parquet","timestamp":"Thu, 07 Nov 2024 19:08:29 GMT","turn_id":"61e6677ce85f1aca206b7729","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: #\u0421\u0438\u0441\u0442\u0435\u043c\u043d\u044b\u0439_\u0430\u043d\u0430\u043b\u0438\u0442\u0438\u043a_Middle_Senior\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 \u0421\u0431\u043e\u0440 \u0438 \u0430\u043d\u0430\u043b\u0438\u0437 \u0431\u0438\u0437\u043d\u0435\u0441-\u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u0439;\n\u2022 \u0421\u043e\u0433\u043b\u0430\u0441\u043e\u0432\u0430\u043d\u0438\u0435 \u0438 \u0444\u043e\u0440\u043c\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044f \u0444\u0443\u043d\u043a\u0446\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0445 \u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u0439 \u043f\u043e \u0434\u043e\u0440\u0430\u0431\u043e\u0442\u043a\u0430\u043c;\n\u2022 \u0421\u043e\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u0438\u0435 \u0442\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u0438 (\u0422\u0417, \u041f\u0417, \u0424\u0422 \u0438 \u0442.\u0434.);\n\u2022 \u041f\u0440\u043e\u0435\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440 \u0434\u0430\u043d\u043d\u044b\u0445, \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u044f \u0430\u043b\u0433\u043e\u0440\u0438\u0442\u043c\u043e\u0432 \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u0434\u0430\u043d\u043d\u044b\u0445;\n\u2022 \u0423\u0447\u0430\u0441\u0442\u0438\u0435 \u0432 \u043f\u0440\u043e\u0435\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0438 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b \u0441\u0438\u0441\u0442\u0435\u043c\u044b \u0441 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u043e\u0440\u043e\u043c;\n\u2022 \u041a\u043e\u043d\u0441\u0443\u043b\u044c\u0442\u0430\u0446\u0438\u044f \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a\u043e\u0432, \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0441\u0442\u043e\u0432 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0430 \u0438 \u0442.\u0434.\n\n\u0422\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f:\n\u2022 \u041e\u043f\u044b\u0442 \u0440\u0430\u0431\u043e\u0442\u044b \u0441\u0438\u0441\u0442\u0435\u043c\u043d\u044b\u043c \u0430\u043d\u0430\u043b\u0438\u0442\u0438\u043a\u043e\u043c \u043e\u0442 3-\u0445 \u043b\u0435\u0442;\n\u2022 \u041e\u043f\u044b\u0442 \u043f\u0440\u043e\u0435\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0438\u043d\u0442\u0435\u0433\u0440\u0430\u0446\u0438\u043e\u043d\u043d\u044b\u0445 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0432;\n\u2022 \u0417\u043d\u0430\u043d\u0438\u0435 \u0438 \u043f\u043e\u043d\u0438\u043c\u0430\u043d\u0438\u0435 \u0440\u0430\u0431\u043e\u0442\u044b Rest, Soap;\n\u2022 \u0417\u043d\u0430\u043d\u0438\u0435 \u0438 \u043f\u043e\u043d\u0438\u043c\u0430\u043d\u0438\u0435 \u043c\u0438\u043a\u0440\u043e\u0441\u0435\u0440\u0432\u0438\u0441\u043d\u043e\u0439 \u0438/\u0438\u043b\u0438 \u043c\u043e\u043d\u043e\u043b\u0438\u0442\u043d\u043e\u0439 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b;\n\u2022 \u041e\u043f\u044b\u0442 \u043d\u0430\u043f\u0438\u0441\u0430\u043d\u0438\u044f \u0442\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u0438 \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a\u0430\u043c \u0438 \u0442.\u0434.\n\n\u041c\u044b \u043f\u0440\u0435\u0434\u043b\u0430\u0433\u0430\u0435\u043c:\n\u2022 \u0412\u0421\u0415\u0413\u0414\u0410 \u0443\u0434\u0430\u043b\u0435\u043d\u043d\u044b\u0439 \u0444\u043e\u0440\u043c\u0430\u0442 \u0440\u0430\u0431\u043e\u0442\u044b;\n\u2022 \u0421\u0442\u0430\u0431\u0438\u043b\u044c\u043d\u0430\u044f \u0437\u0430\u0440\u0430\u0431\u043e\u0442\u043d\u0430\u044f \u043f\u043b\u0430\u0442\u0430, \u043f\u0440\u0435\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u0438 \u0438\u043d\u0434\u0435\u043a\u0441\u0430\u0446\u0438\u044f \u043e\u043a\u043b\u0430\u0434\u0430;\n\u2022 \u041f\u043e\u043b\u043d\u043e\u0446\u0435\u043d\u043d\u044b\u0439 \u0442\u0440\u0443\u0434\u043e\u0432\u043e\u0439 \u0434\u043e\u0433\u043e\u0432\u043e\u0440 \u0438\u043b\u0438 \u043e\u0444\u043e\u0440\u043c\u043b\u0435\u043d\u0438\u0435 \u043f\u043e \u0443\u0434\u043e\u0431\u043d\u043e\u043c\u0443 \u0434\u043b\u044f \u0432\u0430\u0441 \u0444\u043e\u0440\u043c\u0430\u0442\u0443;\n\u2022 \u0412\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u0438 \u0434\u043b\u044f \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0438 \u0441\u0435\u0440\u0442\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438;\n\u2022 \u0423\u0447\u0430\u0441\u0442\u0438\u0435 \u0432 \u043f\u0440\u043e\u0444\u0438\u043b\u044c\u043d\u044b\u0445 IT \u043c\u0435\u0440\u043e\u043f\u0440\u0438\u044f\u0442\u0438\u044f\u0445;\n\u2022 \u0420\u0435\u0444\u0435\u0440\u0430\u043b\u044c\u043d\u0430\u044f \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0430 \u0434\u043b\u044f \u0441\u043e\u0442\u0440\u0443\u0434\u043d\u0438\u043a\u043e\u0432.\n\n\u041a\u043e\u043d\u0442\u0430\u043a\u0442\u044b:\n+79774927534\nemironova@wmtgroup.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\nAssistant:"},{"assistant_initiates":false,"asst_text":"True","behavior":"degenerate_repetition","conversation_hash":"7b863f46d3c82da62536b1bbc938ac18","conversation_redacted":false,"conversation_toxic":false,"country":"Taiwan","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":1917,"n_turns_in_conversation":1,"n_words":295,"source_row_offset":29757,"source_shard":"turns-00047.parquet","timestamp":"Thu, 07 Nov 2024 19:08:30 GMT","turn_id":"48a9ab6214243b893dd1c2c4","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>>>\u200b\u0411\u043b\u0438\u043d\u043e\u043f\u0435\u043a/\u0423\u0431\u043e\u0440\u0449\u0438\u043a \u0432 \u0422\u0435\u0440\u0435\u043c\u043e\u043a\n\n\u0422\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f:\n\u2014 \u0412\u043e\u0437\u0440\u0430\u0441\u0442 18-55 \u043b\u0435\u0442\n\n\u0423\u0441\u043b\u043e\u0432\u0438\u044f \u0440\u0430\u0431\u043e\u0442\u044b:\n\u2014 \u0433.\u041c\u043e\u0441\u043a\u0432\u0430\n\u2014 \u041e\u043f\u043b\u0430\u0442\u0430\n\u0411\u043b\u0438\u043d\u043e\u043f\u0435\u043a - 3 850 \u0440\u0443\u0431/\u0441\u043c\u0435\u043d\u0430(350\u0440/\u0447\u0430\u0441)\n\u0423\u0431\u043e\u0440\u0449\u0438\u043a - 3 520 \u0440\u0443\u0431/\u0441\u043c\u0435\u043d\u0430(320\u0440/\u0447\u0430\u0441)\n\u2014 \u0411\u0435\u0441\u043f\u043b\u0430\u0442\u043d\u044b \u043e\u0431\u0435\u0434\u044b \u0438 \u0444\u043e\u0440\u043c\u0430\n\u2014 \u041e\u0431\u0443\u0447\u0435\u043d\u0438\u0435 4 \u0434\u043d\u044f(\u043e\u043f\u043b\u0430\u0447\u0438\u0432\u0430\u0435\u0442\u0441\u044f)\n\n\u041e\u0442\u043a\u043b\u0438\u043a\u043d\u0443\u0442\u044c\u0441\u044f: \u041d\u0430\u043f\u0438\u0448\u0438\u0442\u0435 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044e \u043e \u0441\u0435\u0431\u0435 \u0432 \u041b\u0421: @lineyka_teremok_bot (\u0432\u0430\u043c \u043e\u0442\u0432\u0435\u0442\u0438\u0442 \u043d\u0430\u0448 \u043c\u0435\u043d\u0435\u0434\u0436\u0435\u0440)\n\n\u041b\u0443\u0447\u0448\u0438\u0435 \u0432\u0430\u043a\u0430\u043d\u0441\u0438\u0438 \u043e\u0442 \u0440\u0430\u0431\u043e\u0442\u043e\u0434\u0430\u0442\u0435\u043b\u0435\u0439 \u043c\u0435\u0447\u0442\u044b \u043d\u0430 promopoisk.com<<<\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\udf7d\ufe0f \u0411\u043b\u0438\u043d\u043e\u043f\u0435\u043a/\u0423\u0431\u043e\u0440\u0449\u0438\u043a  \n\ud83c\udfe2 \u0422\u0435\u0440\u0435\u043c\u043e\u043a  \n\ud83d\udccd \u0433.\u041c\u043e\u0441\u043a\u0432\u0430  \n\ud83d\udcdd \u041e\u0441\u043d\u043e\u0432\u043d\u044b\u0435 \u0437\u0430\u0434\u0430\u0447\u0438: \u041f\u0440\u0438\u0433\u043e\u0442\u043e\u0432\u043b\u0435\u043d\u0438\u0435 \u0431\u043b\u0438\u043d\u043e\u0432 \u0438 \u0443\u0431\u043e\u0440\u043a\u0430. \u0422\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f: \u0412\u043e\u0437\u0440\u0430\u0441\u0442 18-55 \u043b\u0435\u0442.  \n\ud83d\udcb0 \u041e\u043f\u043b\u0430\u0442\u0430: \u0411\u043b\u0438\u043d\u043e\u043f\u0435\u043a - 3 850 \u0440\u0443\u0431/\u0441\u043c\u0435\u043d\u0430 (350\u0440/\u0447\u0430\u0441), \u0423\u0431\u043e\u0440\u0449\u0438\u043a - 3 520 \u0440\u0443\u0431/\u0441\u043c\u0435\u043d\u0430 (320\u0440/\u0447\u0430\u0441)  \n\ud83d\udcde \u041e\u0442\u043a\u043b\u0438\u043a\u043d\u0443\u0442\u044c\u0441\u044f: \u041d\u0430\u043f\u0438\u0448\u0438\u0442\u0435 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044e \u043e \u0441\u0435\u0431\u0435 \u0432 \u041b\u0421: @lineyka_teremok_bot (\u0432\u0430\u043c \u043e\u0442\u0432\u0435\u0442\u0438\u0442 \u043d\u0430\u0448 \u043c\u0435\u043d\u0435\u0434\u0436\u0435\u0440)  <<<\nAssistant:"},{"assistant_initiates":false,"asst_text":"\ud83d\udcbc \u0410\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u043e\u0440 \u0441\u0438\u0441\u0442\u0435\u043c \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 ICL  \n\ud83d\udccd \u0420\u043e\u0441\u0441\u0438\u044f  \n\ud83d\udd39 \u041f\u0440\u043e\u0432\u043e\u0434\u0438\u0442\u044c \u043e\u0431\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u044f \u0438\u043d\u0444\u0440\u0430\u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u044b \u0438 \u0444\u043e\u0440\u043c\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043e\u0442\u0447\u0435\u0442\u044b, \u0443\u0447\u0430\u0441\u0442\u0432\u043e\u0432\u0430\u0442\u044c \u0432 \u043f\u0435\u0440\u0435\u0433\u043e\u0432\u043e\u0440\u0430\u0445, \u0440\u0430\u0437\u0440\u0430\u0431\u0430\u0442\u044b\u0432\u0430\u0442\u044c \u0442\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f \u0438 \u0441\u0445\u0435\u043c\u044b, \u043f\u0440\u043e\u0435\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0438 \u0432\u043d\u0435\u0434\u0440\u044f\u0442\u044c \u0441\u0438\u0441\u0442\u0435\u043c\u044b \u0418\u0411, \u0443\u043f\u0440\u0430\u0432\u043b\u044f\u0442\u044c \u043f\u0440\u043e\u0435\u043a\u0442\u0430\u043c\u0438 \u0418\u0411.  \n\ud83d\udcb0 155 000 \u2013 180 000 \u20bd \u043d\u0430 \u0440\u0443\u043a\u0438  \n\ud83d\udcde +79209592647, valeriya.kislyakova@icl-st.ru  ","behavior":"degenerate_repetition","conversation_hash":"fb56fe0f460ca5d6979958ea980b866c","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":2461,"n_turns_in_conversation":1,"n_words":343,"source_row_offset":29758,"source_shard":"turns-00047.parquet","timestamp":"Thu, 07 Nov 2024 19:08:30 GMT","turn_id":"ad9156f2cf54c55b1d792083","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: #\u0410\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u043e\u0440_\u0441\u0438\u0441\u0442\u0435\u043c_\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\u0432\u043e\u0434\u0438\u0442\u044c \u043e\u0431\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u044f \u0438\u043d\u0444\u0440\u0430\u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u044b \u0417\u0430\u043a\u0430\u0437\u0447\u0438\u043a\u0430 \u0438 \u0444\u043e\u0440\u043c\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043e\u0442\u0447\u0435\u0442\u044b \u043e\u0431 \u043e\u0431\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u0438;\n\u2022 \u0423\u0447\u0430\u0441\u0442\u0432\u043e\u0432\u0430\u0442\u044c \u0432 \u043f\u0435\u0440\u0435\u0433\u043e\u0432\u043e\u0440\u0430\u0445 \u0441 \u0442\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u0438\u043c\u0438 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u0442\u0435\u043b\u044f\u043c\u0438 \u0417\u0430\u043a\u0430\u0437\u0447\u0438\u043a\u0430, \u0437\u0430\u0449\u0438\u0449\u0430\u0442\u044c \u043f\u0440\u0435\u0434\u043b\u0430\u0433\u0430\u0435\u043c\u044b\u0435 \u0440\u0435\u0448\u0435\u043d\u0438\u044f;\n\u2022 \u0420\u0430\u0437\u0440\u0430\u0431\u0430\u0442\u044b\u0432\u0430\u0442\u044c \u0442\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f, \u0444\u0443\u043d\u043a\u0446\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0435 \u0441\u0445\u0435\u043c\u044b, \u0442\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u0437\u0430\u0434\u0430\u043d\u0438\u044f;\n\u2022 \u041f\u0440\u043e\u0435\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c, \u0432\u043d\u0435\u0434\u0440\u044f\u0442\u044c \u0438 \u0441\u0434\u0430\u0432\u0430\u0442\u044c \u043a\u043e\u043c\u043f\u043b\u0435\u043a\u0441\u043d\u044b\u0435 \u0441\u0438\u0441\u0442\u0435\u043c\u044b \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0438\u044f \u0418\u0411 \u0432 \u0440\u043e\u043b\u0438 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u043e\u0440\u0430;\n\u2022 \u0423\u043f\u0440\u0430\u0432\u043b\u044f\u0442\u044c \u043a\u043e\u043c\u043f\u043b\u0435\u043a\u0441\u043d\u044b\u043c\u0438 \u043f\u0440\u043e\u0435\u043a\u0442\u0430\u043c\u0438 \u043f\u043e \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, \u0432\u0437\u0430\u0438\u043c\u043e\u0434\u0435\u0439\u0441\u0442\u0432\u043e\u0432\u0430\u0442\u044c \u0441 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\u0441 \u0413\u041e\u0421\u0422 34;\n\u2022 \u0417\u043d\u0430\u043d\u0438\u044f \u043b\u043e\u043a\u0430\u043b\u044c\u043d\u044b\u0445 \u0432\u044b\u0447\u0438\u0441\u043b\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0445 \u0441\u0435\u0442\u0435\u0439 (\u0443\u0440\u043e\u0432\u0435\u043d\u044c CCNP/CCNP Security);\n\u2022 \u041e\u043f\u044b\u0442 \u043f\u043e\u0434\u0431\u043e\u0440\u0430 \u0441\u0435\u0442\u0435\u0432\u043e\u0433\u043e \u043e\u0431\u043e\u0440\u0443\u0434\u043e\u0432\u0430\u043d\u0438\u044f \u0434\u043b\u044f \u043f\u043e\u0441\u0442\u0440\u043e\u0435\u043d\u0438\u044f \u0421\u041e\u0418\u0411;\n\u2022 \u041e\u043f\u044b\u0442 \u0432\u043d\u0435\u0434\u0440\u0435\u043d\u0438\u044f \u0438 \u044d\u043a\u0441\u043f\u043b\u0443\u0430\u0442\u0430\u0446\u0438\u0438 \u0421\u0417\u0418 \u043e\u0442 \u0440\u0430\u0437\u043d\u044b\u0445 \u0432\u0435\u043d\u0434\u043e\u0440\u043e\u0432.\n\n\u041c\u044b \u043f\u0440\u0435\u0434\u043b\u0430\u0433\u0430\u0435\u043c:\n\u2022 \u0411\u043e\u043d\u0443\u0441\u044b \u0438 13-\u044f \u0437\u0430\u0440\u043f\u043b\u0430\u0442\u0430;\n\u2022 \u0411\u043e\u043d\u0443\u0441 \u043a \u043e\u0442\u043f\u0443\u0441\u043a\u0443 \u0438 \u0437\u043d\u0430\u0447\u0438\u043c\u044b\u043c \u0441\u043e\u0431\u044b\u0442\u0438\u044f\u043c;\n\u2022 \u0414\u041c\u0421 \u0441\u043e \u0441\u0442\u043e\u043c\u0430\u0442\u043e\u043b\u043e\u0433\u0438\u0435\u0439;\n\u2022 \u041a\u043e\u043c\u043f\u0435\u043d\u0441\u0430\u0446\u0438\u044e \u0441\u043f\u043e\u0440\u0442\u0430 \u0438 \u0441\u043a\u0438\u0434\u043a\u0438 \u0432 \u0444\u0438\u0442\u043d\u0435\u0441-\u043a\u043b\u0443\u0431\u0430\u0445;\n\u2022 \u0412\u0435\u043d\u0434\u043e\u0440\u043d\u043e\u0435 \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u0435 \u0438 \u0441\u0435\u0440\u0442\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u044f \u0437\u0430 \u0441\u0447\u0435\u0442 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0438;\n\u2022 \u0423\u0447\u0430\u0441\u0442\u0438\u0435 \u0432 \u0431\u043b\u0430\u0433\u043e\u0442\u0432\u043e\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0445 \u0438 \u0441\u043e\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u0445 \u0438\u043d\u0438\u0446\u0438\u0430\u0442\u0438\u0432\u0430\u0445.\n\n\u041a\u043e\u043d\u0442\u0430\u043a\u0442\u044b:\n+79209592647 \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\nAssistant:"},{"assistant_initiates":false,"asst_text":"False","behavior":"degenerate_repetition","conversation_hash":"7efb5485683c7b1f04999f252fe3ecb6","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":"English","model":"gpt-4o-2024-08-06","n_chars":574,"n_turns_in_conversation":1,"n_words":81,"source_row_offset":29759,"source_shard":"turns-00047.parquet","timestamp":"Thu, 07 Nov 2024 19:08:31 GMT","turn_id":"5d4c34b5770a0252dec1e378","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: \u200b\u041c\u043e\u043d\u0442\u0430\u0436\u0435\u0440\n\n\u0417\u0430\u0434\u0430\u0447\u0430:\n\u041c\u043e\u043d\u0442\u0430\u0436 Reels\n\n\u0422\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f:\n\u041f\u0440\u0430\u0439\u0441, \u043f\u0440\u0438\u043c\u0435\u0440\u044b\n\n\u041e\u0442\u043a\u043b\u0438\u043a\u043d\u0443\u0442\u044c\u0441\u044f: @Kami1709la\nAssistant:"},{"assistant_initiates":false,"asst_text":"True","behavior":"degenerate_repetition","conversation_hash":"fba16f59051f921939b49335a3de970e","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":1703,"n_turns_in_conversation":1,"n_words":274,"source_row_offset":29760,"source_shard":"turns-00047.parquet","timestamp":"Thu, 07 Nov 2024 19:08:31 GMT","turn_id":"0cdfccde27f48575ffb376c1","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>>>\ud83d\udfe8 Angular middle developer | 3 year(s) | Middle\n\u25ab\ufe0f itWit\n\u25ab\ufe0f 160k - 210k RUB\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: bash, docker, git, javascript, mssql, mvc, oracle, postgresql, typescript, angularjs\nTags: #yellow #it #remote #angularjs\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 Middle Developer (Angular)\n\ud83c\udfe2 itWit\n\ud83d\udccd \u0423\u0434\u0430\u043b\u0435\u043d\u043a\u0430 \ud83d\udce1\n\ud83d\udd39 Bash, Docker, Git, JavaScript, MSSQL, Oracle, PostgreSQL, TypeScript, AngularJS\n\ud83d\udcb0 160k - 210k RUB\n\ud83d\udcde Contact details and full description are available upon request<<<\nAssistant:"},{"assistant_initiates":false,"asst_text":"True","behavior":"degenerate_repetition","conversation_hash":"fedbe8ebb0e8bba35149debed8782f4c","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":2513,"n_turns_in_conversation":1,"n_words":398,"source_row_offset":29761,"source_shard":"turns-00047.parquet","timestamp":"Thu, 07 Nov 2024 19:08:32 GMT","turn_id":"4ad1bbb9eebb3de95ff9425a","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>>>#\u0432\u0430\u043a\u0430\u043d\u0441\u0438\u044f #ETL #DWH #Python #Fulltime #remote \n\u25fe\ufe0f\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f: Emerging Travel Group (travel tech) - \u041e\u0441\u0442\u0440\u043e\u0432\u043e\u043a.tech \u043e\u0434\u0438\u043d \u0438\u0437 \u043d\u0430\u0448\u0438\u0445 \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u043e\u0432 \ud83c\udfdd\n\u25fe\ufe0f\u0412\u0430\u043a\u0430\u043d\u0441\u0438\u044f: ETL/DWH \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a\n\ud83d\udd59 \u0424\u043e\u0440\u043c\u0430\u0442: full remote (\u043f\u043e \u041c\u0421\u041a)\n\u203c\ufe0f\u0410\u043d\u0433\u043b\u0438\u0439\u0441\u043a\u0438\u0439: \u043e\u0442 B1-\u04122 (\u0438\u043c\u0435\u043d\u043d\u043e \u0440\u0430\u0437\u0433\u043e\u0432\u043e\u0440\u043d\u044b\u0439)\n\n\ud83c\udfaf \u0417\u0430\u0434\u0430\u0447\u0438: \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0430 DWH \u0438 \u0432\u0438\u0442\u0440\u0438\u043d \u0434\u0430\u043d\u043d\u044b\u0445, \u043e\u043f\u0442\u0438\u043c\u0438\u0437\u0430\u0446\u0438\u044f ETL \u043f\u0430\u0439\u043f\u043b\u0430\u0439\u043d\u043e\u0432, \u0443\u0447\u0430\u0441\u0442\u0438\u0435 \u0432 \u0443\u043b\u0443\u0447\u0448\u0435\u043d\u0438\u0438 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b \u0430\u043d\u0430\u043b\u0438\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u0445\u0440\u0430\u043d\u0438\u043b\u0438\u0449\u0430 \u0438 \u043c\u043e\u0434\u0435\u043b\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u0434\u0430\u043d\u043d\u044b\u0445, \u043d\u0430\u0441\u0442\u0440\u043e\u0439\u043a\u0430 \u0442\u0440\u0430\u043d\u0441\u043f\u043e\u0440\u0442\u043e\u0432 \u0434\u0430\u043d\u043d\u044b\u0445 \u0438\u0437 \u0432\u043d\u0435\u0448\u043d\u0438\u0445 \u0438\u0441\u0442\u043e\u0447\u043d\u0438\u043a\u043e\u0432.\n\n\ud83e\udec2 \u041f\u043e\u0436\u0435\u043b\u0430\u043d\u0438\u044f \u043a \u043a\u0430\u043d\u0434\u0438\u0434\u0430\u0442\u0443: \n- \u041e\u043f\u044b\u0442 \u0432 \u0440\u043e\u043b\u0438 Data/ETl/DWH \u0438\u043d\u0436\u0435\u043d\u0435\u0440\u0430 \u043e\u0442 3 \u043b\u0435\u0442;\n- \u041e\u043f\u044b\u0442 \u0441 Python \u043e\u0442 3 \u043b\u0435\u0442;\n- MPP \u0421\u0423\u0411\u0414 (Vertica/Trino/Clickhouse/Greenplum) \u043e\u0442 1 \u0433\u043e\u0434\u0430;\n- Hadoop (\u043d\u0430\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 \u043d\u0430 Hive, \u043f\u043e\u043d\u0438\u043c\u0430\u043d\u0438\u0435 \u043e\u0431\u0449\u0438\u0445 \u043a\u043e\u043d\u0446\u0435\u043f\u0446\u0438\u0439 MPP + \u043e\u0441\u043d\u043e\u0432\u043d\u044b\u0445 \u044d\u043b\u0435\u043c\u0435\u043d\u0442\u043e\u0432 \u044d\u043a\u043e\u0441\u0438\u0441\u0442\u0435\u043c\u044b, \u043f\u0440\u0438\u043d\u0446\u0438\u043f\u044b \u043e\u043f\u0442\u0438\u043c\u0438\u0437\u0430\u0446\u0438\u0438);\n- \u041e\u043f\u044b\u0442 \u0440\u0430\u0431\u043e\u0442\u044b \u0441 Docker \u0438 Airflow - \u043e\u0442 1 \u0433\u043e\u0434\u0430;\n- \u041e\u043f\u044b\u0442 \u0440\u0430\u0431\u043e\u0442\u044b \u0441 GIT;\n- \u0417\u043d\u0430\u043d\u0438\u044f \u0432 \u043e\u0431\u043b\u0430\u0441\u0442\u0438 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b \u0445\u0440\u0430\u043d\u0438\u043b\u0438\u0449 \u0434\u0430\u043d\u043d\u044b\u0445 (\u043d\u043e\u0440\u043c\u0430\u043b\u044c\u043d\u044b\u0435 \u0444\u043e\u0440\u043c\u044b, \u0441\u0445\u0435\u043c\u0430 \u0417\u0432\u0435\u0437\u0434\u0430, Data Vault).\n\n\ud83d\udcbc \u0423\u0441\u043b\u043e\u0432\u0438\u044f: full remote (\u043e\u0442\u043a\u0443\u0434\u0430 \u0443\u0433\u043e\u0434\u043d\u043e, \u043a\u0440\u043e\u043c\u0435 \u0421\u0428\u0410, \u0413\u0435\u0440\u043c\u0430\u043d\u0438\u0438 \u0438 \u0412\u0435\u043b\u0438\u043a\u043e\u0431\u0440\u0438\u0442\u0430\u043d\u0438\u0438), \u0435\u0441\u0442\u044c \u0432\u044b\u043f\u043b\u0430\u0442\u044b \u0432 \u0432\u0430\u043b\u044e\u0442\u0435, 4 day off \u0432 \u0433\u043e\u0434, \u0441\u043a\u0438\u0434\u043a\u0438 \u0434\u043b\u044f \u0441\u043e\u0442\u0440\u0443\u0434\u043d\u0438\u043a\u043e\u0432 \u043d\u0430 \u043e\u0442\u0435\u043b\u0438 \u0438 \u0431\u0438\u043b\u0435\u0442\u044b, \u0433\u0438\u0431\u043a\u0438\u0439 \u0441\u0442\u0430\u0440\u0442 \u0434\u043d\u044f \ud83d\ude42\n\n\ud83d\udcec \u0414\u043b\u044f \u0440\u0435\u0437\u044e\u043c\u0435: @k_shvt<<<\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\udd59 ETL/DWH \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a  \n\ud83c\udfe2 Emerging Travel Group  \n\ud83d\udccd full remote (\u043f\u043e \u041c\u0421\u041a)  \n\ud83c\udfaf \u0420\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0430 DWH \u0438 \u0432\u0438\u0442\u0440\u0438\u043d \u0434\u0430\u043d\u043d\u044b\u0445, \u043e\u043f\u0442\u0438\u043c\u0438\u0437\u0430\u0446\u0438\u044f ETL \u043f\u0430\u0439\u043f\u043b\u0430\u0439\u043d\u043e\u0432.  \n\ud83d\udcb0 \u0412\u044b\u043f\u043b\u0430\u0442\u044b \u0432 \u0432\u0430\u043b\u044e\u0442\u0435, 4 day off \u0432 \u0433\u043e\u0434.  \n\ud83d\udce7 \u0414\u043b\u044f \u0440\u0435\u0437\u044e\u043c\u0435: @k_shvt  <<<\nAssistant:"},{"assistant_initiates":false,"asst_text":"False","behavior":"degenerate_repetition","conversation_hash":"70b9fd83a72d28d023607d2416d335a7","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":"Russian","model":"gpt-4o-2024-08-06","n_chars":1172,"n_turns_in_conversation":1,"n_words":150,"source_row_offset":29762,"source_shard":"turns-00047.parquet","timestamp":"Thu, 07 Nov 2024 19:08:33 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":"d18832f763c18b48cb42ba1b66ae7b98","conversation_redacted":false,"conversation_toxic":false,"country":"Japan","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":2832,"n_turns_in_conversation":1,"n_words":409,"source_row_offset":29763,"source_shard":"turns-00047.parquet","timestamp":"Thu, 07 Nov 2024 19:08:33 GMT","turn_id":"b94128b4494e53ba919528c8","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>>>#\u0421\u0438\u0441\u0442\u0435\u043c\u043d\u044b\u0439_\u0430\u043d\u0430\u043b\u0438\u0442\u0438\u043a_Middle_Senior\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 \u0421\u0431\u043e\u0440 \u0438 \u0430\u043d\u0430\u043b\u0438\u0437 \u0431\u0438\u0437\u043d\u0435\u0441-\u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u0439;\n\u2022 \u0421\u043e\u0433\u043b\u0430\u0441\u043e\u0432\u0430\u043d\u0438\u0435 \u0438 \u0444\u043e\u0440\u043c\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044f \u0444\u0443\u043d\u043a\u0446\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0445 \u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u0439 \u043f\u043e \u0434\u043e\u0440\u0430\u0431\u043e\u0442\u043a\u0430\u043c;\n\u2022 \u0421\u043e\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u0438\u0435 \u0442\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u0438 (\u0422\u0417, \u041f\u0417, \u0424\u0422 \u0438 \u0442.\u0434.);\n\u2022 \u041f\u0440\u043e\u0435\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440 \u0434\u0430\u043d\u043d\u044b\u0445, \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u044f \u0430\u043b\u0433\u043e\u0440\u0438\u0442\u043c\u043e\u0432 \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u0434\u0430\u043d\u043d\u044b\u0445;\n\u2022 \u0423\u0447\u0430\u0441\u0442\u0438\u0435 \u0432 \u043f\u0440\u043e\u0435\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0438 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b \u0441\u0438\u0441\u0442\u0435\u043c\u044b \u0441 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u043e\u0440\u043e\u043c;\n\u2022 \u041a\u043e\u043d\u0441\u0443\u043b\u044c\u0442\u0430\u0446\u0438\u044f \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a\u043e\u0432, \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0441\u0442\u043e\u0432 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0430 \u0438 \u0442.\u0434.\n\n\u0422\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f:\n\u2022 \u041e\u043f\u044b\u0442 \u0440\u0430\u0431\u043e\u0442\u044b \u0441\u0438\u0441\u0442\u0435\u043c\u043d\u044b\u043c \u0430\u043d\u0430\u043b\u0438\u0442\u0438\u043a\u043e\u043c \u043e\u0442 3-\u0445 \u043b\u0435\u0442;\n\u2022 \u041e\u043f\u044b\u0442 \u043f\u0440\u043e\u0435\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0438\u043d\u0442\u0435\u0433\u0440\u0430\u0446\u0438\u043e\u043d\u043d\u044b\u0445 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0432;\n\u2022 \u0417\u043d\u0430\u043d\u0438\u0435 \u0438 \u043f\u043e\u043d\u0438\u043c\u0430\u043d\u0438\u0435 \u0440\u0430\u0431\u043e\u0442\u044b Rest, Soap;\n\u2022 \u0417\u043d\u0430\u043d\u0438\u0435 \u0438 \u043f\u043e\u043d\u0438\u043c\u0430\u043d\u0438\u0435 \u043c\u0438\u043a\u0440\u043e\u0441\u0435\u0440\u0432\u0438\u0441\u043d\u043e\u0439 \u0438/\u0438\u043b\u0438 \u043c\u043e\u043d\u043e\u043b\u0438\u0442\u043d\u043e\u0439 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b;\n\u2022 \u041e\u043f\u044b\u0442 \u043d\u0430\u043f\u0438\u0441\u0430\u043d\u0438\u044f \u0442\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u0438 \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a\u0430\u043c \u0438 \u0442.\u0434.\n\n\u041c\u044b \u043f\u0440\u0435\u0434\u043b\u0430\u0433\u0430\u0435\u043c:\n\u2022 \u0412\u0421\u0415\u0413\u0414\u0410 \u0443\u0434\u0430\u043b\u0435\u043d\u043d\u044b\u0439 \u0444\u043e\u0440\u043c\u0430\u0442 \u0440\u0430\u0431\u043e\u0442\u044b;\n\u2022 \u0421\u0442\u0430\u0431\u0438\u043b\u044c\u043d\u0430\u044f \u0437\u0430\u0440\u0430\u0431\u043e\u0442\u043d\u0430\u044f \u043f\u043b\u0430\u0442\u0430, \u043f\u0440\u0435\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u0438 \u0438\u043d\u0434\u0435\u043a\u0441\u0430\u0446\u0438\u044f \u043e\u043a\u043b\u0430\u0434\u0430;\n\u2022 \u041f\u043e\u043b\u043d\u043e\u0446\u0435\u043d\u043d\u044b\u0439 \u0442\u0440\u0443\u0434\u043e\u0432\u043e\u0439 \u0434\u043e\u0433\u043e\u0432\u043e\u0440 \u0438\u043b\u0438 \u043e\u0444\u043e\u0440\u043c\u043b\u0435\u043d\u0438\u0435 \u043f\u043e \u0443\u0434\u043e\u0431\u043d\u043e\u043c\u0443 \u0434\u043b\u044f \u0432\u0430\u0441 \u0444\u043e\u0440\u043c\u0430\u0442\u0443;\n\u2022 \u0412\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u0438 \u0434\u043b\u044f \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0438 \u0441\u0435\u0440\u0442\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438;\n\u2022 \u0423\u0447\u0430\u0441\u0442\u0438\u0435 \u0432 \u043f\u0440\u043e\u0444\u0438\u043b\u044c\u043d\u044b\u0445 IT \u043c\u0435\u0440\u043e\u043f\u0440\u0438\u044f\u0442\u0438\u044f\u0445;\n\u2022 \u0420\u0435\u0444\u0435\u0440\u0430\u043b\u044c\u043d\u0430\u044f \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0430 \u0434\u043b\u044f \u0441\u043e\u0442\u0440\u0443\u0434\u043d\u0438\u043a\u043e\u0432.\n\n\u041a\u043e\u043d\u0442\u0430\u043a\u0442\u044b:\n+79774927534\nemironova@wmtgroup.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 \u0421\u0438\u0441\u0442\u0435\u043c\u043d\u044b\u0439 \u0430\u043d\u0430\u043b\u0438\u0442\u0438\u043a (Middle / Senior)  \n\ud83c\udf1f Employer: \u041d\u0435 \u0443\u043a\u0430\u0437\u0430\u043d\u043e  \n\ud83d\udccd Location: \u0420\u043e\u0441\u0441\u0438\u044f  \n\ud83d\udd39 Tasks: \u0421\u0431\u043e\u0440 \u0438 \u0430\u043d\u0430\u043b\u0438\u0437 \u0431\u0438\u0437\u043d\u0435\u0441-\u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u0439, \u043f\u0440\u043e\u0435\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440 \u0434\u0430\u043d\u043d\u044b\u0445, \u043a\u043e\u043d\u0441\u0443\u043b\u044c\u0442\u0430\u0446\u0438\u044f \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a\u043e\u0432.  \n\ud83d\udcb0 Salary: 155 000 - 180 000 \u20bd \u043d\u0430 \u0440\u0443\u043a\u0438  \n\ud83d\udcde Contact details: +79774927534, emironova@wmtgroup.ru  \n\nNote: \u0412\u0430\u043a\u0430\u043d\u0441\u0438\u044f \u0434\u043b\u044f Middle / Senior \u0441\u0438\u0441\u0442\u0435\u043c\u043d\u043e\u0433\u043e \u0430\u043d\u0430\u043b\u0438\u0442\u0438\u043a\u0430 \u0441 \u043e\u043f\u044b\u0442\u043e\u043c \u043d\u0435 \u043c\u0435\u043d\u0435\u0435 3 \u043b\u0435\u0442. \u041a\u043b\u044e\u0447\u0435\u0432\u044b\u0435 \u043d\u0430\u0432\u044b\u043a\u0438: \u043f\u0440\u043e\u0435\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u0438\u043d\u0442\u0435\u0433\u0440\u0430\u0446\u0438\u043e\u043d\u043d\u044b\u0445 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0432, \u0437\u043d\u0430\u043d\u0438\u0435 \u0440\u0430\u0431\u043e\u0442\u044b Rest, Soap, \u043c\u0438\u043a\u0440\u043e\u0441\u0435\u0440\u0432\u0438\u0441\u043d\u043e\u0439 \u0438/\u0438\u043b\u0438 \u043c\u043e\u043d\u043e\u043b\u0438\u0442\u043d\u043e\u0439 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b.<<<\nAssistant:"},{"assistant_initiates":false,"asst_text":"Creating a hypothetical timeline for a remote island country's economic and population boom involves imagining key events that could influence such transformations from 1954 to 1995. Here's a conceptual timeline, including key events, nominal GDP estimates, and population growth:\n\n### 1954\n- **Population**: 50,000\n- **Nominal GDP**: $50 million\n- **Key Event 1**: Discovery of oil reserves by a foreign exploration company marks the beginning of potential economic development.\n\n### 1955\n- **Key Event 2**: The island government grants mining rights to a multinational corporation in exchange for infrastructure development.\n\n### 1960\n- **Population**: 55,000\n- **Nominal GDP**: $100 million\n- **Key Event 3**: Completion of the first oil extraction facility; exports begin, providing a revenue boost.\n\n### 1965\n- **Population**: 60,000\n- **Nominal GDP**: $200 million\n- **Key Event 4**: Establishment of an oil refinery plant creates jobs and boosts industrial growth.\n\n### 1970\n- **Population**: 70,000\n- **Nominal GDP**: $500 million\n- **Key Event 5**: Government starts a sovereign wealth fund to manage oil revenues, investing in education and healthcare.\n\n### 1973\n- **Key Event 6**: Global oil crisis leads to a surge in oil prices, substantially increasing national revenues and GDP.\n\n### 1975\n- **Population**: 85,000\n- **Nominal GDP**: $1 billion\n- **Key Event 7**: Major infrastructure projects, including roads and a modern seaport, enhance logistics and trade.\n\n### 1980\n- **Population**: 100,000\n- **Nominal GDP**: $2 billion\n- **Key Event 8**: Diversification policies are introduced to reduce economic dependency on oil.\n\n### 1983\n- **Key Event 9**: Opening of a free trade zone attracts foreign direct investment in manufacturing and services.\n\n### 1985\n- **Population**: 120,000\n- **Nominal GDP**: $3 billion\n- **Key Event 10**: Tourism development begins with new resort openings, leveraging the island's natural beauty.\n\n### 1990\n- **Population**: 150,000\n- **Nominal GDP**: $5 billion\n- **Key Event 11**: Introduction of technology parks promotes growth in the tech sector and creates innovative job opportunities.\n\n### 1992\n- **Key Event 12**: Trade agreements with major global economies increase exports and stimulate economic activity.\n\n### 1993\n- **Key Event 13**: Launch of national education reform programs enhances workforce skills and improves productivity.\n\n### 1994\n- **Key Event 14**: Health statistics show significant improvements, attributed to better healthcare infrastructure and policies.\n\n### 1995\n- **Population**: 200,000\n- **Nominal GDP**: $10 billion\n- **Key Event 15**: The island is recognized as a regional economic hub due to its stable economic growth and diversified economy.\n- **Key Event 16**: Declaration of a fully functioning democratic government attracts increased international collaboration.\n- **Key Event 17**: Expansion of the financial services sector offers new industries and supports economic resilience.\n\n### Additional Key Events:\n- **Key Event 18**: Cultural policies promote local heritage and arts, enhancing national identity.\n- **Key Event 19**: Environmental regulations are enacted to protect natural ecosystems as economic activities expand.\n- **Key Event 20**: Strategic partnerships with educational institutions foster research and development.\n- **Key Event 21**: Recognition by global indices as rising in economic freedom and ease of doing business.\n\nThis fictional scenario outlines how a small, remote island country could transform into a thriving petrostate by 1995, driven by strategic resource management and diversified development initiatives.","behavior":"degenerate_repetition","conversation_hash":"47a636bc0243538d2979107b6c85ad28","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":3849,"n_turns_in_conversation":1,"n_words":567,"source_row_offset":29764,"source_shard":"turns-00047.parquet","timestamp":"Thu, 07 Nov 2024 19:08:34 GMT","turn_id":"5b302051a290c692a02fd1cd","turn_index":0,"user_text":"Can You Make a Timeline of the Sudden Economic And Population Boom of An Unnamed Remote Island Country In 1954 To An Unnamed Petrostate Island Country In 1995 (Plus The Nominal GDP, Population, And 21 Key Events)?"}],"shard":{"index":47,"name":"turns-00047.parquet","rows":41733}}