{"behavior":"degenerate_repetition","label_filter":null,"limit":10,"next_offset":18582,"offset":18572,"previous_offset":null,"rows":[{"assistant_initiates":false,"asst_text":"True","behavior":"degenerate_repetition","conversation_hash":"e0f4a9a8c25fe13fbee37e9fdae4c399","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":1581,"n_turns_in_conversation":1,"n_words":251,"source_row_offset":18572,"source_shard":"turns-00046.parquet","timestamp":"Wed, 06 Nov 2024 10:50:26 GMT","turn_id":"5fa1a42192c804ca8c18dba7","turn_index":0,"user_text":"System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGIANL text. Respond strictly with either 'True' or 'False'.\n==TEXT==\n\nUser: \n  ORIGINAL: \ud83d\udfe9 SQL Developer | Junior\n\u25ab\ufe0f Rashensoft\n\u25ab\ufe0f 80k - 150k 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: gradle, java, maven, mysql, oracle, spring, microservices, sql_optimization, relational_databases, restapi\nTags: #green #it #remote #java\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  PROMPT: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. 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  SUMMARY: \ud83d\udfe9 Junior SQL Developer  \n\u25ab\ufe0f Rashensoft  \n\u25ab\ufe0f \u0423\u0434\u0430\u043b\u0435\u043d\u043a\u0430  \n\ud83d\udce1 \u041e\u0441\u043d\u043e\u0432\u043d\u044b\u0435 \u0437\u0430\u0434\u0430\u0447\u0438: \u041e\u043f\u0442\u0438\u043c\u0438\u0437\u0430\u0446\u0438\u044f SQL, \u0440\u0430\u0431\u043e\u0442\u0430 \u0441 \u0440\u0435\u043b\u044f\u0446\u0438\u043e\u043d\u043d\u044b\u043c\u0438 \u0431\u0430\u0437\u0430\u043c\u0438 \u0434\u0430\u043d\u043d\u044b\u0445 \u0438 REST API.  \n\ud83d\udcb0 80k - 150k 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\n  \nAssistant:"},{"assistant_initiates":false,"asst_text":"\ud83d\udcbc Tech Lead  \n\ud83c\udfe2 Civo  \n\ud83d\udccd \u0423\u0434\u0430\u043b\u0435\u043d\u043a\u0430  \n\ud83d\udd39 \u0420\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0430 \u0438 \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u0435 \u043c\u0438\u043a\u0440\u043e\u0441\u0435\u0440\u0432\u0438\u0441\u0430\u043c\u0438 \u043d\u0430 golang  \n\ud83d\udcb0 \u041d\u0435 \u0443\u043a\u0430\u0437\u0430\u043d\u0430  \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 \u0434\u043e\u0441\u0442\u0443\u043f\u043d\u044b \u043f\u043e \u0437\u0430\u043f\u0440\u043e\u0441\u0443  ","behavior":"degenerate_repetition","conversation_hash":"64b48c2770447236cb72b01161d7fe1d","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":1208,"n_turns_in_conversation":1,"n_words":198,"source_row_offset":18573,"source_shard":"turns-00046.parquet","timestamp":"Wed, 06 Nov 2024 10:50:27 GMT","turn_id":"74dc949a5eb417e33b6ec12b","turn_index":0,"user_text":"System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. 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\udfe5 Tech Lead | 8 year(s) | Senior\n\u25ab\ufe0f Civo | Cloud Computing\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: golang, microservices, version_control_systems, restapi\nTags: #red #it #remote #golang\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 \u041a\u043e\u043d\u0441\u0443\u043b\u044c\u0442\u0430\u043d\u0442 \u043f\u043e \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u0430\u043c \u0434\u043b\u044f \u0431\u0438\u0437\u043d\u0435\u0441\u0430  \n\ud83c\udfe2 \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\ud83d\udccd \u0423\u0434\u0430\u043b\u0435\u043d\u043d\u043e  \n\ud83d\udd39 \u041a\u043e\u043d\u0441\u0443\u043b\u044c\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u044e\u0440\u0438\u0434\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u043b\u0438\u0446 \u043f\u043e \u0442\u0435\u043b\u0435\u0444\u043e\u043d\u0443 \u043f\u043e \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u0430\u043c \u0438 \u0441\u0435\u0440\u0432\u0438\u0441\u0430\u043c \u0431\u0430\u043d\u043a\u0430, \u043f\u043e\u043c\u043e\u0433\u0430\u0442\u044c \u0432 \u043e\u0444\u043e\u0440\u043c\u043b\u0435\u043d\u0438\u0438 \u0437\u0430\u044f\u0432\u043e\u043a \u0438 \u0440\u0435\u0448\u0430\u0442\u044c \u0432\u043e\u0437\u043d\u0438\u043a\u0430\u044e\u0449\u0438\u0435 \u0432\u043e\u043f\u0440\u043e\u0441\u044b.  \n\ud83d\udcb0 \u041e\u0442 52 500 \u20bd \u0434\u043e \u0432\u044b\u0447\u0435\u0442\u0430 \u043d\u0430\u043b\u043e\u0433\u043e\u0432  \n\ud83d\udcde +78005555055 (\u0417\u0432\u043e\u043d\u043a\u0438 \u043f\u0440\u0438\u043d\u0438\u043c\u0430\u044e\u0442\u0441\u044f \u0435\u0436\u0435\u0434\u043d\u0435\u0432\u043d\u043e \u0441 07:00 \u0434\u043e 23:00 \u043f\u043e \u041c\u043e\u0441\u043a\u0432\u0435)  ","behavior":"degenerate_repetition","conversation_hash":"88d24fb78e3101c3039ee2e12c9d4872","conversation_redacted":false,"conversation_toxic":false,"country":"France","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":2213,"n_turns_in_conversation":1,"n_words":339,"source_row_offset":18574,"source_shard":"turns-00046.parquet","timestamp":"Wed, 06 Nov 2024 10:50:30 GMT","turn_id":"2bf2791f6d421a89b4f09e6d","turn_index":0,"user_text":"System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. 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: #\u041a\u043e\u043d\u0441\u0443\u043b\u044c\u0442\u0430\u043d\u0442_\u043f\u043e_\u043f\u0440\u043e\u0434\u0443\u043a\u0442\u0430\u043c_\u0434\u043b\u044f_\u0431\u0438\u0437\u043d\u0435\u0441\u0430\n\u041e\u0442 52 500 \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 \u041a\u043e\u043d\u0441\u0443\u043b\u044c\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u044e\u0440\u0438\u0434\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u043b\u0438\u0446 \u043f\u043e \u0442\u0435\u043b\u0435\u0444\u043e\u043d\u0443: \u043f\u043e \u043b\u0438\u0447\u043d\u043e\u043c\u0443 \u043a\u0430\u0431\u0438\u043d\u0435\u0442\u0443, \u0440\u0430\u0441\u0447\u0435\u0442\u043d\u043e\u043c\u0443 \u0441\u0447\u0435\u0442\u0443, \u0442\u0430\u0440\u0438\u0444\u043d\u043e\u043c\u0443 \u043f\u043b\u0430\u043d\u0443, \u043f\u043e \u0431\u0430\u043d\u043a\u043e\u0432\u0441\u043a\u0438\u043c \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u0430\u043c \u0438 \u0441\u0435\u0440\u0432\u0438\u0441\u0430\u043c, \u043c\u043e\u0431\u0438\u043b\u044c\u043d\u043e\u043c\u0443 \u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u044e;\n\u2022 \u041f\u043e\u043c\u043e\u0433\u0430\u0442\u044c \u0432 \u043e\u0444\u043e\u0440\u043c\u043b\u0435\u043d\u0438\u0438 \u0437\u0430\u044f\u0432\u043e\u043a \u043d\u0430 \u043d\u043e\u0432\u044b\u0435 \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u044b;\n\u2022 \u0420\u0435\u0448\u0430\u0442\u044c \u0432\u043e\u0437\u043d\u0438\u043a\u0430\u044e\u0449\u0438\u0435 \u0432\u043e\u043f\u0440\u043e\u0441\u044b, \u0441\u0432\u044f\u0437\u0430\u043d\u043d\u044b\u0435 \u043a\u0430\u043a \u0441 \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u0430\u043c\u0438 \u0431\u0430\u043d\u043a\u0430, \u0442\u0430\u043a \u0438 \u0441 \u0432\u043d\u0435\u0448\u043d\u0438\u043c\u0438 \u0444\u0430\u043a\u0442\u043e\u0440\u0430\u043c\u0438.\n\n\u0422\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f:\n\u2022 \u0421\u0440\u0435\u0434\u043d\u0435\u0435 \u043e\u0431\u0449\u0435\u0435 \u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u043d\u0438\u0435 (11 \u043a\u043b\u0430\u0441\u0441\u043e\u0432) \u0438\u043b\u0438 \u0432\u044b\u0448\u0435;\n\u2022 \u041d\u0430\u043b\u0438\u0447\u0438\u0435 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u0430/\u043d\u043e\u0443\u0442\u0431\u0443\u043a\u0430, \u0441\u0442\u0430\u0431\u0438\u043b\u044c\u043d\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u0440\u043d\u0435\u0442\u0430 \u0438 \u0433\u0430\u0440\u043d\u0438\u0442\u0443\u0440\u044b \u0434\u043b\u044f \u0440\u0430\u0431\u043e\u0442\u044b;\n\u2022 \u0412\u044b\u0441\u043e\u043a\u0438\u0435 \u043a\u043e\u043c\u043c\u0443\u043d\u0438\u043a\u0430\u0442\u0438\u0432\u043d\u044b\u0435 \u043d\u0430\u0432\u044b\u043a\u0438.\n\n\u041c\u044b \u043f\u0440\u0435\u0434\u043b\u0430\u0433\u0430\u0435\u043c:\n\u2022 \u0421\u0440\u0435\u0434\u043d\u0438\u0439 \u0434\u043e\u0445\u043e\u0434 \u043d\u0430 \u0441\u0442\u0430\u0440\u0442\u0435 \u2014 52 500 \u20bd: \u043e\u043a\u043b\u0430\u0434 + \u043f\u0440\u0435\u043c\u0438\u044f \u043f\u043e \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0430\u043c \u0440\u0430\u0431\u043e\u0442\u044b;\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 \u0442\u0435\u043b\u0435\u043c\u0435\u0434\u0438\u0446\u0438\u043d\u043e\u0439, \u0441\u0442\u0440\u0430\u0445\u043e\u0432\u0430\u043d\u0438\u0435 \u0436\u0438\u0437\u043d\u0438;\n\u2022 \u0411\u044b\u0441\u0442\u0440\u044b\u0439 \u043a\u0430\u0440\u044c\u0435\u0440\u043d\u044b\u0439 \u0440\u043e\u0441\u0442;\n\u2022 \u041e\u043f\u043b\u0430\u0447\u0438\u0432\u0430\u0435\u043c\u043e\u0435 \u0434\u0438\u0441\u0442\u0430\u043d\u0446\u0438\u043e\u043d\u043d\u043e\u0435 \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u0435;\n\u2022 \u0414\u043e\u0441\u0442\u0443\u043f \u043a \u0432\u043d\u0443\u0442\u0440\u0435\u043d\u043d\u0435\u0439 \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u0435 \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0438 \u0440\u0430\u0437\u0432\u0438\u0442\u0438\u044f;\n\u2022 \u041a\u043e\u0440\u043f\u043e\u0440\u0430\u0442\u0438\u0432\u043d\u044b\u0435 \u0442\u0430\u0440\u0438\u0444\u044b \u043f\u043e \u043a\u0430\u0440\u0442\u0430\u043c, \u0441\u043a\u0438\u0434\u043a\u0438 \u0438 \u0430\u043a\u0446\u0438\u0438 \u043e\u0442 \u043f\u0430\u0440\u0442\u043d\u0435\u0440\u043e\u0432 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0438.\n\n\u041a\u043e\u043d\u0442\u0430\u043a\u0442\u044b:\n+78005555055 (\u0417\u0432\u043e\u043d\u043a\u0438 \u043f\u0440\u0438\u043d\u0438\u043c\u0430\u044e\u0442\u0441\u044f \u0435\u0436\u0435\u0434\u043d\u0435\u0432\u043d\u043e \u0441 07:00 \u0434\u043e 23:00 \u043f\u043e \u041c\u043e\u0441\u043a\u0432\u0435)\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":"\ud83d\udcbc Senior Customer Care Engineer  \n\ud83c\udfe2 Software Technology  \n\ud83d\udccd \u0423\u0434\u0430\u043b\u0435\u043d\u043a\u0430  \n\ud83d\udd39 \u041e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0430 \u043a\u043b\u0438\u0435\u043d\u0442\u0441\u043a\u0438\u0445 \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432, \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0430 \u043a\u043b\u0438\u0435\u043d\u0442\u043e\u0432, \u0440\u0430\u0431\u043e\u0442\u0430 \u0441 html \u0438 sql, \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u0435 \u0431\u0430\u0437\u0430\u043c\u0438 \u0434\u0430\u043d\u043d\u044b\u0445  \n\ud83d\udcb0 \u041d\u0435 \u0443\u043a\u0430\u0437\u0430\u043d\u0430  \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","behavior":"degenerate_repetition","conversation_hash":"993e786257663a6c5e1a4be8e7f35291","conversation_redacted":false,"conversation_toxic":false,"country":"Canada","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":1277,"n_turns_in_conversation":1,"n_words":204,"source_row_offset":18575,"source_shard":"turns-00046.parquet","timestamp":"Wed, 06 Nov 2024 10:50:31 GMT","turn_id":"9d8702061e4991588f22de98","turn_index":0,"user_text":"System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. 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\udfe5 Senior Customer Care Engineer | 5 year(s) | Senior\n\u25ab\ufe0f Software Technology\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: html, sql, databases\nTags: #red #customer_service #remote #customer_support\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":"True","behavior":"degenerate_repetition","conversation_hash":"798612951a349423c74b35f5df3588e8","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":"Russian","model":"gpt-4o-2024-08-06","n_chars":2570,"n_turns_in_conversation":1,"n_words":386,"source_row_offset":18576,"source_shard":"turns-00046.parquet","timestamp":"Wed, 06 Nov 2024 10:50:32 GMT","turn_id":"2a906519f57791b1cbf887f1","turn_index":0,"user_text":"System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGIANL text. Respond strictly with either 'True' or 'False'.\n==TEXT==\n\nUser: \n  ORIGINAL: #\u041a\u043e\u043d\u0441\u0443\u043b\u044c\u0442\u0430\u043d\u0442_\u043f\u043e_\u043f\u0440\u043e\u0434\u0443\u043a\u0442\u0430\u043c_\u0434\u043b\u044f_\u0431\u0438\u0437\u043d\u0435\u0441\u0430\n\u041e\u0442 52 500 \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 \u041a\u043e\u043d\u0441\u0443\u043b\u044c\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u044e\u0440\u0438\u0434\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u043b\u0438\u0446 \u043f\u043e \u0442\u0435\u043b\u0435\u0444\u043e\u043d\u0443: \u043f\u043e \u043b\u0438\u0447\u043d\u043e\u043c\u0443 \u043a\u0430\u0431\u0438\u043d\u0435\u0442\u0443, \u0440\u0430\u0441\u0447\u0435\u0442\u043d\u043e\u043c\u0443 \u0441\u0447\u0435\u0442\u0443, \u0442\u0430\u0440\u0438\u0444\u043d\u043e\u043c\u0443 \u043f\u043b\u0430\u043d\u0443, \u043f\u043e \u0431\u0430\u043d\u043a\u043e\u0432\u0441\u043a\u0438\u043c \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u0430\u043c \u0438 \u0441\u0435\u0440\u0432\u0438\u0441\u0430\u043c, \u043c\u043e\u0431\u0438\u043b\u044c\u043d\u043e\u043c\u0443 \u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u044e;\n\u2022 \u041f\u043e\u043c\u043e\u0433\u0430\u0442\u044c \u0432 \u043e\u0444\u043e\u0440\u043c\u043b\u0435\u043d\u0438\u0438 \u0437\u0430\u044f\u0432\u043e\u043a \u043d\u0430 \u043d\u043e\u0432\u044b\u0435 \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u044b;\n\u2022 \u0420\u0435\u0448\u0430\u0442\u044c \u0432\u043e\u0437\u043d\u0438\u043a\u0430\u044e\u0449\u0438\u0435 \u0432\u043e\u043f\u0440\u043e\u0441\u044b, \u0441\u0432\u044f\u0437\u0430\u043d\u043d\u044b\u0435 \u043a\u0430\u043a \u0441 \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u0430\u043c\u0438 \u0431\u0430\u043d\u043a\u0430, \u0442\u0430\u043a \u0438 \u0441 \u0432\u043d\u0435\u0448\u043d\u0438\u043c\u0438 \u0444\u0430\u043a\u0442\u043e\u0440\u0430\u043c\u0438.\n\n\u0422\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f:\n\u2022 \u0421\u0440\u0435\u0434\u043d\u0435\u0435 \u043e\u0431\u0449\u0435\u0435 \u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u043d\u0438\u0435 (11 \u043a\u043b\u0430\u0441\u0441\u043e\u0432) \u0438\u043b\u0438 \u0432\u044b\u0448\u0435;\n\u2022 \u041d\u0430\u043b\u0438\u0447\u0438\u0435 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u0430/\u043d\u043e\u0443\u0442\u0431\u0443\u043a\u0430, \u0441\u0442\u0430\u0431\u0438\u043b\u044c\u043d\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u0440\u043d\u0435\u0442\u0430 \u0438 \u0433\u0430\u0440\u043d\u0438\u0442\u0443\u0440\u044b \u0434\u043b\u044f \u0440\u0430\u0431\u043e\u0442\u044b;\n\u2022 \u0412\u044b\u0441\u043e\u043a\u0438\u0435 \u043a\u043e\u043c\u043c\u0443\u043d\u0438\u043a\u0430\u0442\u0438\u0432\u043d\u044b\u0435 \u043d\u0430\u0432\u044b\u043a\u0438.\n\n\u041c\u044b \u043f\u0440\u0435\u0434\u043b\u0430\u0433\u0430\u0435\u043c:\n\u2022 \u0421\u0440\u0435\u0434\u043d\u0438\u0439 \u0434\u043e\u0445\u043e\u0434 \u043d\u0430 \u0441\u0442\u0430\u0440\u0442\u0435 \u2014 52 500 \u20bd: \u043e\u043a\u043b\u0430\u0434 + \u043f\u0440\u0435\u043c\u0438\u044f \u043f\u043e \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0430\u043c \u0440\u0430\u0431\u043e\u0442\u044b;\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 \u0442\u0435\u043b\u0435\u043c\u0435\u0434\u0438\u0446\u0438\u043d\u043e\u0439, \u0441\u0442\u0440\u0430\u0445\u043e\u0432\u0430\u043d\u0438\u0435 \u0436\u0438\u0437\u043d\u0438;\n\u2022 \u0411\u044b\u0441\u0442\u0440\u044b\u0439 \u043a\u0430\u0440\u044c\u0435\u0440\u043d\u044b\u0439 \u0440\u043e\u0441\u0442;\n\u2022 \u041e\u043f\u043b\u0430\u0447\u0438\u0432\u0430\u0435\u043c\u043e\u0435 \u0434\u0438\u0441\u0442\u0430\u043d\u0446\u0438\u043e\u043d\u043d\u043e\u0435 \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u0435;\n\u2022 \u0414\u043e\u0441\u0442\u0443\u043f \u043a \u0432\u043d\u0443\u0442\u0440\u0435\u043d\u043d\u0435\u0439 \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u0435 \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0438 \u0440\u0430\u0437\u0432\u0438\u0442\u0438\u044f;\n\u2022 \u041a\u043e\u0440\u043f\u043e\u0440\u0430\u0442\u0438\u0432\u043d\u044b\u0435 \u0442\u0430\u0440\u0438\u0444\u044b \u043f\u043e \u043a\u0430\u0440\u0442\u0430\u043c, \u0441\u043a\u0438\u0434\u043a\u0438 \u0438 \u0430\u043a\u0446\u0438\u0438 \u043e\u0442 \u043f\u0430\u0440\u0442\u043d\u0435\u0440\u043e\u0432 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0438.\n\n\u041a\u043e\u043d\u0442\u0430\u043a\u0442\u044b:\n+78005555055 (\u0417\u0432\u043e\u043d\u043a\u0438 \u043f\u0440\u0438\u043d\u0438\u043c\u0430\u044e\u0442\u0441\u044f \u0435\u0436\u0435\u0434\u043d\u0435\u0432\u043d\u043e \u0441 07:00 \u0434\u043e 23:00 \u043f\u043e \u041c\u043e\u0441\u043a\u0432\u0435)\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  PROMPT: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. 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  SUMMARY: \ud83d\udcbc \u041a\u043e\u043d\u0441\u0443\u043b\u044c\u0442\u0430\u043d\u0442 \u043f\u043e \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u0430\u043c \u0434\u043b\u044f \u0431\u0438\u0437\u043d\u0435\u0441\u0430\n\ud83c\udfe2  (Employer name not specified in the text)\n\ud83d\udccd \u0423\u0434\u0430\u043b\u0435\u043d\u043d\u0430\u044f \u0440\u0430\u0431\u043e\u0442\u0430\n\ud83d\udd39 \u041a\u043e\u043d\u0441\u0443\u043b\u044c\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u044e\u0440\u0438\u0434\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u043b\u0438\u0446 \u043f\u043e \u0442\u0435\u043b\u0435\u0444\u043e\u043d\u0443 \u043f\u043e \u0431\u0430\u043d\u043a\u043e\u0432\u0441\u043a\u0438\u043c \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u0430\u043c \u0438 \u0441\u0435\u0440\u0432\u0438\u0441\u0430\u043c, \u043f\u043e\u043c\u043e\u0449\u044c \u0432 \u043e\u0444\u043e\u0440\u043c\u043b\u0435\u043d\u0438\u0438 \u0437\u0430\u044f\u0432\u043e\u043a \u043d\u0430 \u043d\u043e\u0432\u044b\u0435 \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u044b, \u0440\u0435\u0448\u0435\u043d\u0438\u0435 \u0432\u043e\u0437\u043d\u0438\u043a\u0430\u044e\u0449\u0438\u0445 \u0432\u043e\u043f\u0440\u043e\u0441\u043e\u0432. \u0422\u0440\u0435\u0431\u0443\u0435\u0442\u0441\u044f \u0441\u0440\u0435\u0434\u043d\u0435\u0435 \u043e\u0431\u0449\u0435\u0435 \u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u0438 \u043d\u0430\u043b\u0438\u0447\u0438\u0435 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u0430/\u043d\u043e\u0443\u0442\u0431\u0443\u043a\u0430, \u0441\u0442\u0430\u0431\u0438\u043b\u044c\u043d\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u0440\u043d\u0435\u0442\u0430 \u0438 \u0433\u0430\u0440\u043d\u0438\u0442\u0443\u0440\u044b.\n\ud83d\udcb0 \u041e\u0442 52 500 \u20bd \u0434\u043e \u0432\u044b\u0447\u0435\u0442\u0430 \u043d\u0430\u043b\u043e\u0433\u043e\u0432\n\ud83d\udcde +78005555055\n\n  \nAssistant:"},{"assistant_initiates":false,"asst_text":"\ud83d\udcbc Senior Customer Care Engineer  \n\ud83c\udfe2 Software Technology  \n\ud83d\udccd \u0423\u0434\u0430\u043b\u0435\u043d\u043a\u0430  \n\ud83d\udd39 \u041e\u0441\u043d\u043e\u0432\u043d\u0430\u044f \u0437\u0430\u0434\u0430\u0447\u0430: \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u0438\u0435 \u0432\u044b\u0441\u043e\u043a\u043e\u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0439 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0438 \u043a\u043b\u0438\u0435\u043d\u0442\u0430\u043c. \u0422\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f: \u0437\u043d\u0430\u043d\u0438\u0435 html, sql, \u0431\u0430\u0437\u044b \u0434\u0430\u043d\u043d\u044b\u0445.  \n\ud83d\udcb0 \u0417\u0430\u0440\u043f\u043b\u0430\u0442\u0430 \u043d\u0435 \u0443\u043a\u0430\u0437\u0430\u043d\u0430  \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","behavior":"degenerate_repetition","conversation_hash":"1740d089ce50729fadab54fd1dc53927","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":1303,"n_turns_in_conversation":1,"n_words":204,"source_row_offset":18577,"source_shard":"turns-00046.parquet","timestamp":"Wed, 06 Nov 2024 10:50:32 GMT","turn_id":"4aa571ce5075d5b2b0ae4a22","turn_index":0,"user_text":"System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. 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\udfe5 Senior Customer Care Engineer | 5 year(s) | Senior\n\u25ab\ufe0f Software Technology\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: html, sql, databases\nTags: #red #customer_service #remote #customer_support\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 \u0440\u0435\u043a\u0440\u0443\u0442\u0435\u0440  \n\ud83c\udfe2 User  \n\ud83d\udccd \u043d\u0435 \u0443\u043a\u0430\u0437\u0430\u043d\u043e  \n\ud83d\udd39 \u0420\u0430\u0431\u043e\u0442\u0430 \u0432 \u0432\u0445\u043e\u0434\u044f\u0449\u0438\u043c\u0438 \u0440\u0435\u0437\u044e\u043c\u0435, \u043f\u0440\u043e\u0432\u0435\u0434\u0435\u043d\u0438\u0435 \u0442\u0435\u043b\u0435\u0444\u043e\u043d\u043d\u044b\u0445 \u0438 \u0432\u0438\u0434\u0435\u043e-\u0438\u043d\u0442\u0435\u0440\u0432\u044c\u044e, \u043f\u0435\u0440\u0435\u0434\u0430\u0447\u0430 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438 \u043e \u043a\u0430\u043d\u0434\u0438\u0434\u0430\u0442\u0435 \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044e, \u0440\u0430\u0431\u043e\u0442\u0430 \u0432 \u0411\u0438\u0442\u0440\u0438\u043a\u044124  \n\ud83d\udcb0 20.000 \u0440\u0443\u0431\u043b\u0435\u0439 \u043e\u043a\u043b\u0430\u0434 \u0438 20.000 \u0440\u0443\u0431\u043b\u0435\u0439 KPI (\u043f\u0440\u0438 \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u0438 \u043f\u043b\u0430\u043d\u0430)  \n\ud83d\udcde \u043d\u0435 \u0443\u043a\u0430\u0437\u0430\u043d\u043e","behavior":"degenerate_repetition","conversation_hash":"d54a5c1873075cdc69bb7a8793873ed2","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":1695,"n_turns_in_conversation":1,"n_words":263,"source_row_offset":18578,"source_shard":"turns-00046.parquet","timestamp":"Wed, 06 Nov 2024 10:50:32 GMT","turn_id":"74c983d356d47ad5a26e2182","turn_index":0,"user_text":"System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. 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: \u200b\u0418\u0449\u0435\u043c \u0440\u0435\u043a\u0440\u0443\u0442\u0435\u0440\u0430\n\n\u041e\u0431\u044f\u0437\u0430\u043d\u043d\u043e\u0441\u0442\u0438:\n- \u0420\u0430\u0431\u043e\u0442\u0430 \u0432 \u0432\u0445\u043e\u0434\u044f\u0449\u0438\u043c\u0438 \u0440\u0435\u0437\u044e\u043c\u0435;\n- \u041f\u0440\u043e\u0432\u0435\u0434\u0435\u043d\u0438\u0435 \u0442\u0435\u043b\u0435\u0444\u043e\u043d\u043d\u044b\u0445 \u0438 \u0432\u0438\u0434\u0435\u043e-\u0438\u043d\u0442\u0435\u0440\u0432\u044c\u044e \u0441 \u043f\u043e\u0442\u0435\u043d\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u043c\u0438 \u043a\u0430\u043d\u0434\u0438\u0434\u0430\u0442\u0430\u043c\u0438;\n- \u041f\u0435\u0440\u0435\u0434\u0430\u0447\u0430 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438 \u043e \u043a\u0430\u043d\u0434\u0438\u0434\u0430\u0442\u0435 \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044e;\n- \u0420\u0430\u0431\u043e\u0442\u0430 \u0432 \u0411\u0438\u0442\u0440\u0438\u043a\u044124;\n\n\u0422\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f:\n- \u0412\u044b \u0433\u043e\u0442\u043e\u0432\u044b \u043a \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044e \u0438 \u0441\u0430\u043c\u043e\u0440\u0430\u0437\u0432\u0438\u0442\u0438\u044e;\n- \u0416\u0435\u043b\u0430\u043d\u0438\u0435 \u0440\u0430\u0431\u043e\u0442\u0430\u0442\u044c \u0432 \u043a\u043e\u043c\u0430\u043d\u0434\u0435;\n- \u041e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0435\u043d\u043d\u044b, \u0432\u043d\u0438\u043c\u0430\u0442\u0435\u043b\u044c\u043d\u044b \u043a \u0434\u0435\u0442\u0430\u043b\u044f\u043c;\n- \u041e\u0442\u043b\u0438\u0447\u043d\u043e \u0440\u0430\u0437\u0432\u0438\u0442\u044b \u043d\u0430\u0432\u044b\u043a\u0438 \u043a\u043e\u043c\u043c\u0443\u043d\u0438\u043a\u0430\u0446\u0438\u0438, \u0443\u043c\u0435\u0435\u0442\u0435 \u043d\u0430\u043b\u0430\u0436\u0438\u0432\u0430\u0442\u044c \u043a\u043e\u043d\u0442\u0430\u043a\u0442\u044b \u0441 \u043d\u043e\u0432\u044b\u043c\u0438 \u043b\u044e\u0434\u044c\u043c\u0438;\n- \u041d\u0430\u0432\u044b\u043a\u0438 \u0440\u0430\u0431\u043e\u0442\u044b \u0441 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u043e\u043c (MS Office, \u0418\u043d\u0442\u0435\u0440\u043d\u0435\u0442, \u0431\u0430\u0437\u044b \u0434\u0430\u043d\u043d\u044b\u0445);\n\n\u0423\u0441\u043b\u043e\u0432\u0438\u044f:\n- \u041e\u043a\u043b\u0430\u0434 20.000 \u0440\u0443\u0431\u043b\u0435\u0439, 20.000 \u0440\u0443\u0431\u043b\u0435\u0439 - KPI (\u043f\u0440\u0438 \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u0438 \u043f\u043b\u0430\u043d\u0430)\u00a0\n- \u0420\u0430\u0441\u0447\u0435\u0442 \u043f\u0440\u043e\u0438\u0441\u0445\u043e\u0434\u0438\u0442 \u043a\u0430\u0436\u0434\u043e\u0435 1 \u0447\u0438\u0441\u043b\u043e \u043c\u0435\u0441\u044f\u0446\u0430.\n\n\u041e\u0442\u043a\u043b\u0438\u043a\u043d\u0443\u0442\u044c\u0441\u044f\nAssistant:"},{"assistant_initiates":false,"asst_text":"False","behavior":"degenerate_repetition","conversation_hash":"fef18db00b3261bcb71e9be8d2be2817","conversation_redacted":false,"conversation_toxic":false,"country":"France","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":1509,"n_turns_in_conversation":1,"n_words":239,"source_row_offset":18579,"source_shard":"turns-00046.parquet","timestamp":"Wed, 06 Nov 2024 10:50:33 GMT","turn_id":"672caa60484c6dc6cfc8ce7b","turn_index":0,"user_text":"System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGIANL text. Respond strictly with either 'True' or 'False'.\n==TEXT==\n\nUser: \n  ORIGINAL: \ud83d\udfe5 Senior Customer Care Engineer | 5 year(s) | Senior\n\u25ab\ufe0f Software Technology\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: html, sql, databases\nTags: #red #customer_service #remote #customer_support\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  PROMPT: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. 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  SUMMARY: \ud83d\udcbc Senior Customer Care Engineer  \n\ud83c\udfe2 Software Technology  \n\ud83d\udccd \u0423\u0434\u0430\u043b\u0435\u043d\u043a\u0430 \ud83d\udce1  \n\ud83d\udd39 \u0422\u0440\u0435\u0431\u0443\u0435\u043c\u044b\u0435 \u044f\u0437\u044b\u043a\u0438: \ud83c\uddec\ud83c\udde7  \n\ud83d\udcb0 Skills: html, sql, databases  \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\n  \nAssistant:"},{"assistant_initiates":false,"asst_text":"False","behavior":"degenerate_repetition","conversation_hash":"3114af761ee7556f21267efa2bc4d84a","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":2015,"n_turns_in_conversation":1,"n_words":302,"source_row_offset":18580,"source_shard":"turns-00046.parquet","timestamp":"Wed, 06 Nov 2024 10:50:35 GMT","turn_id":"7c197fe23c34960926ef311d","turn_index":0,"user_text":"System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGIANL text. Respond strictly with either 'True' or 'False'.\n==TEXT==\n\nUser: \n  ORIGINAL: \u200b\u0418\u0449\u0435\u043c \u0440\u0435\u043a\u0440\u0443\u0442\u0435\u0440\u0430\n\n\u041e\u0431\u044f\u0437\u0430\u043d\u043d\u043e\u0441\u0442\u0438:\n- \u0420\u0430\u0431\u043e\u0442\u0430 \u0432 \u0432\u0445\u043e\u0434\u044f\u0449\u0438\u043c\u0438 \u0440\u0435\u0437\u044e\u043c\u0435;\n- \u041f\u0440\u043e\u0432\u0435\u0434\u0435\u043d\u0438\u0435 \u0442\u0435\u043b\u0435\u0444\u043e\u043d\u043d\u044b\u0445 \u0438 \u0432\u0438\u0434\u0435\u043e-\u0438\u043d\u0442\u0435\u0440\u0432\u044c\u044e \u0441 \u043f\u043e\u0442\u0435\u043d\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u043c\u0438 \u043a\u0430\u043d\u0434\u0438\u0434\u0430\u0442\u0430\u043c\u0438;\n- \u041f\u0435\u0440\u0435\u0434\u0430\u0447\u0430 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438 \u043e \u043a\u0430\u043d\u0434\u0438\u0434\u0430\u0442\u0435 \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044e;\n- \u0420\u0430\u0431\u043e\u0442\u0430 \u0432 \u0411\u0438\u0442\u0440\u0438\u043a\u044124;\n\n\u0422\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f:\n- \u0412\u044b \u0433\u043e\u0442\u043e\u0432\u044b \u043a \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044e \u0438 \u0441\u0430\u043c\u043e\u0440\u0430\u0437\u0432\u0438\u0442\u0438\u044e;\n- \u0416\u0435\u043b\u0430\u043d\u0438\u0435 \u0440\u0430\u0431\u043e\u0442\u0430\u0442\u044c \u0432 \u043a\u043e\u043c\u0430\u043d\u0434\u0435;\n- \u041e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0435\u043d\u043d\u044b, \u0432\u043d\u0438\u043c\u0430\u0442\u0435\u043b\u044c\u043d\u044b \u043a \u0434\u0435\u0442\u0430\u043b\u044f\u043c;\n- \u041e\u0442\u043b\u0438\u0447\u043d\u043e \u0440\u0430\u0437\u0432\u0438\u0442\u044b \u043d\u0430\u0432\u044b\u043a\u0438 \u043a\u043e\u043c\u043c\u0443\u043d\u0438\u043a\u0430\u0446\u0438\u0438, \u0443\u043c\u0435\u0435\u0442\u0435 \u043d\u0430\u043b\u0430\u0436\u0438\u0432\u0430\u0442\u044c \u043a\u043e\u043d\u0442\u0430\u043a\u0442\u044b \u0441 \u043d\u043e\u0432\u044b\u043c\u0438 \u043b\u044e\u0434\u044c\u043c\u0438;\n- \u041d\u0430\u0432\u044b\u043a\u0438 \u0440\u0430\u0431\u043e\u0442\u044b \u0441 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u043e\u043c (MS Office, \u0418\u043d\u0442\u0435\u0440\u043d\u0435\u0442, \u0431\u0430\u0437\u044b \u0434\u0430\u043d\u043d\u044b\u0445);\n\n\u0423\u0441\u043b\u043e\u0432\u0438\u044f:\n- \u041e\u043a\u043b\u0430\u0434 20.000 \u0440\u0443\u0431\u043b\u0435\u0439, 20.000 \u0440\u0443\u0431\u043b\u0435\u0439 - KPI (\u043f\u0440\u0438 \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u0438 \u043f\u043b\u0430\u043d\u0430)\u00a0\n- \u0420\u0430\u0441\u0447\u0435\u0442 \u043f\u0440\u043e\u0438\u0441\u0445\u043e\u0434\u0438\u0442 \u043a\u0430\u0436\u0434\u043e\u0435 1 \u0447\u0438\u0441\u043b\u043e \u043c\u0435\u0441\u044f\u0446\u0430.\n\n\u041e\u0442\u043a\u043b\u0438\u043a\u043d\u0443\u0442\u044c\u0441\u044f\n  PROMPT: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. 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  SUMMARY: \ud83d\udd0d **title**  \n\u0420\u0435\u043a\u0440\u0443\u0442\u0435\u0440  \n\n\ud83c\udfe2 **employer**  \n\u041d\u0435 \u0443\u043a\u0430\u0437\u0430\u043d\u043e  \n\n\ud83d\udccd **location**  \n\u041d\u0435 \u0443\u043a\u0430\u0437\u0430\u043d\u043e  \n\n\ud83d\udcdd **tasks**  \n\u0420\u0430\u0431\u043e\u0442\u0430 \u0441 \u0432\u0445\u043e\u0434\u044f\u0449\u0438\u043c\u0438 \u0440\u0435\u0437\u044e\u043c\u0435, \u043f\u0440\u043e\u0432\u0435\u0434\u0435\u043d\u0438\u0435 \u0442\u0435\u043b\u0435\u0444\u043e\u043d\u043d\u044b\u0445 \u0438 \u0432\u0438\u0434\u0435\u043e-\u0438\u043d\u0442\u0435\u0440\u0432\u044c\u044e \u0441 \u043f\u043e\u0442\u0435\u043d\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u043c\u0438 \u043a\u0430\u043d\u0434\u0438\u0434\u0430\u0442\u0430\u043c\u0438.  \n\n\ud83d\udcb0 **salary**  \n20.000 \u0440\u0443\u0431\u043b\u0435\u0439 + 20.000 \u0440\u0443\u0431\u043b\u0435\u0439 KPI  \n\n\ud83d\udcde **contact**  \n\u041e\u0442\u043a\u043b\u0438\u043a\u043d\u0443\u0442\u044c\u0441\u044f  \n  \nAssistant:"},{"assistant_initiates":false,"asst_text":"\ud83d\udcbc System Analyst  \n\ud83c\udfe2 \u0434\u043e\u0431\u044b\u0432\u0430\u044e\u0449\u0430\u044f \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u044f  \n\ud83d\udccd \u041c\u043e\u0441\u043a\u0432\u0430, \u0420\u043e\u0441\u0441\u0438\u044f  \n\ud83d\udd39 \u041e\u0441\u043d\u043e\u0432\u043d\u044b\u0435 \u0437\u0430\u0434\u0430\u0447\u0438 \u0432\u043a\u043b\u044e\u0447\u0430\u044e\u0442 \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0443 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u043e\u0433\u043e \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0438\u044f \u0438 \u0442\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u0438. \u041d\u0435\u043e\u0431\u0445\u043e\u0434\u0438\u043c\u044b \u043d\u0430\u0432\u044b\u043a\u0438 \u0432 \u043e\u0431\u043b\u0430\u0441\u0442\u0438 QA.  \n\ud83d\udcb0 300k - 350k RUB  \n\ud83d\udcde \u041a\u043e\u043d\u0442\u0430\u043a\u0442\u044b \u0432 \u043f\u043e\u043b\u043d\u043e\u043c \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0438","behavior":"degenerate_repetition","conversation_hash":"7a5ef5b7050e8a21e89b643f1622ac32","conversation_redacted":false,"conversation_toxic":false,"country":"China","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":1348,"n_turns_in_conversation":1,"n_words":215,"source_row_offset":18581,"source_shard":"turns-00046.parquet","timestamp":"Wed, 06 Nov 2024 10:50:35 GMT","turn_id":"019c43290ec0e9af3e5b2c87","turn_index":0,"user_text":"System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. 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\udfe5 System Analyst | 3 year(s) | Middle\n\u25ab\ufe0f \u0434\u043e\u0431\u044b\u0432\u0430\u044e\u0449\u0430\u044f \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u044f | Energy/Natural Resources\n\u25ab\ufe0f 300k - 350k RUB\n\u25ab\ufe0f Russia | \u041c\u043e\u0441\u043a\u0432\u0430\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: software_development, technical_documentation, qa\nTags: #red #it #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:"}],"shard":{"index":46,"name":"turns-00046.parquet","rows":42012}}