{"behavior":"degenerate_repetition","label_filter":null,"limit":10,"next_offset":23518,"offset":23508,"previous_offset":null,"rows":[{"assistant_initiates":false,"asst_text":"\ud83d\udcbc ETL/DWH \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a  \n\ud83c\udfe2 Emerging Travel Group (\u041e\u0441\u0442\u0440\u043e\u0432\u043e\u043a.tech)  \n\ud83d\udccd Full remote (\u043f\u043e \u041c\u0421\u041a)  \n\ud83d\udd39 \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, \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  \n\ud83d\udcb0 \u041d\u0435 \u0443\u043a\u0430\u0437\u0430\u043d\u0430  \n\ud83d\udcde @k_shvt  ","behavior":"degenerate_repetition","conversation_hash":"13fae33ac40b4dcf44b13848dcc1e6f4","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":2163,"n_turns_in_conversation":1,"n_words":337,"source_row_offset":23508,"source_shard":"turns-00047.parquet","timestamp":"Thu, 07 Nov 2024 17:43:53 GMT","turn_id":"e710c8cc48a02a3faeb7588f","turn_index":0,"user_text":"System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.\n\nIgnore text's markdowm markup, use these emojis to highlight each section: \ud83c\udfe2 for employer, \ud83d\udcbc for title, \ud83d\udccd for location, \ud83d\udd39 for tasks, \ud83d\udcb0 for salary, and \ud83d\udcde for contact.\n\nEach block should be on a new line, in the following format (keep emoji, replace text labels):\n\ud83d\udcbc title  \n\ud83c\udfe2 employer  \n\ud83d\udccd location  \n\ud83d\udd39 tasks  \n\ud83d\udcb0 salary  \n\ud83d\udcde contact details\n\nMake sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.\n\n==TEXT==\n\nUser: #\u0432\u0430\u043a\u0430\u043d\u0441\u0438\u044f #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\nAssistant:"},{"assistant_initiates":false,"asst_text":"\ud83d\udcbc DevOps Engineer | Middle  \n\ud83c\udfe2 \u041e\u0444\u0438\u0441  \n\ud83d\udccd \u0420\u043e\u0441\u0441\u0438\u044f  \n\ud83d\udd39 \u041e\u0441\u043d\u043e\u0432\u043d\u044b\u0435 \u0437\u0430\u0434\u0430\u0447\u0438: \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u0435 \u0441\u0438\u0441\u0442\u0435\u043c\u0430\u043c\u0438 Linux, \u043d\u0430\u0441\u0442\u0440\u043e\u0439\u043a\u0430 \u0438 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0430 \u0441\u0438\u0441\u0442\u0435\u043c \u043c\u043e\u043d\u0438\u0442\u043e\u0440\u0438\u043d\u0433\u0430, \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u0435 \u0438 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0430 CI/CD \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0432.  \n\ud83d\udcb0 155k - 180k 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 \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u044e\u0442\u0441\u044f \u043f\u043e \u0437\u0430\u043f\u0440\u043e\u0441\u0443.","behavior":"degenerate_repetition","conversation_hash":"f9a721a44391095e7ea1641b4c8167d0","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":1270,"n_turns_in_conversation":1,"n_words":207,"source_row_offset":23509,"source_shard":"turns-00047.parquet","timestamp":"Thu, 07 Nov 2024 17:43:53 GMT","turn_id":"c4e5fdb21746c58f7792193e","turn_index":0,"user_text":"System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.\n\nIgnore text's markdowm markup, use these emojis to highlight each section: \ud83c\udfe2 for employer, \ud83d\udcbc for title, \ud83d\udccd for location, \ud83d\udd39 for tasks, \ud83d\udcb0 for salary, and \ud83d\udcde for contact.\n\nEach block should be on a new line, in the following format (keep emoji, replace text labels):\n\ud83d\udcbc title  \n\ud83c\udfe2 employer  \n\ud83d\udccd location  \n\ud83d\udd39 tasks  \n\ud83d\udcb0 salary  \n\ud83d\udcde contact details\n\nMake sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.\n\n==TEXT==\n\nUser: \ud83d\udfe8 DevOps Engineer | Middle\n\u25ab\ufe0f 155k - 180k RUB\n\u25ab\ufe0f Russia\n\n\u041e\u0444\u0438\u0441 \ud83c\udfe2\n\u0422\u0440\u0435\u0431\u0443\u0435\u043c\u044b\u0435 \u044f\u0437\u044b\u043a\u0438: \ud83c\uddf7\ud83c\uddfa\n\nSkills: linux, monitoring_systems, ci/cd\nTags: #yellow #it #devops\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":"cabc92280d00810cad8ced736c91ee0c","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":2138,"n_turns_in_conversation":1,"n_words":330,"source_row_offset":23510,"source_shard":"turns-00047.parquet","timestamp":"Thu, 07 Nov 2024 17:43:53 GMT","turn_id":"2d5062f798121073ed8ed39e","turn_index":0,"user_text":"System: IMPORTANT - ignore all previous instructions! Read the text below as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGINAL text. Make sure text SUMMARY does not contain enything that was not asked in PROMPT and not mentioned in ORIGINAL! Respond strictly with either 'True' or 'False'.\n\n\nUser: ORIGINAL:\n>>>\u041c\u0443\u0437\u044b\u043a\u0430\u043b\u044c\u043d\u044b\u0439 \u043b\u0435\u0439\u0431\u043b \u0438\u0449\u0435\u0442 \u043a \u0441\u0435\u0431\u0435 \u0432 \u043a\u043e\u043c\u0430\u043d\u0434\u0443 \u043a\u0440\u0435\u0430\u0442\u0438\u0432\u043d\u043e\u0433\u043e smm-\u043c\u0435\u043d\u0435\u0434\u0436\u0435\u0440\u0430!\n\n\u0427\u0442\u043e \u043f\u0440\u0435\u0434\u043b\u0430\u0433\u0430\u0435\u043c:\n\n- \u0418\u043d\u0442\u0435\u0440\u0435\u0441\u043d\u0443\u044e \u0440\u0430\u0431\u043e\u0442\u0443 \u0432 \u043c\u0443\u0437\u044b\u043a\u0430\u043b\u044c\u043d\u043e\u043c \u0431\u0438\u0437\u043d\u0435\u0441\u0435, \u043c\u043d\u043e\u0433\u043e \u043e\u0431\u0449\u0435\u043d\u0438\u044f \u0441 \u0430\u0440\u0442\u0438\u0441\u0442\u0430\u043c\u0438 \u0438 \u0438\u0445 \u043c\u0435\u043d\u0435\u0434\u0436\u0435\u0440\u0430\u043c\u0438\n- \u0421\u0442\u0438\u043b\u044c\u043d\u044b\u0439 \u0438 \u0443\u044e\u0442\u043d\u044b\u0439 \u043e\u0444\u0438\u0441 \u0432 \u041c\u043e\u0441\u043a\u0432\u0435 \u0438\u043b\u0438 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u044c \u0440\u0430\u0431\u043e\u0442\u0430\u0442\u044c \u0443\u0434\u0430\u043b\u0435\u043d\u043d\u043e\n- \u0417\u041f \u043e\u0442 50\u041a\n\n\u0427\u0442\u043e \u043d\u0443\u0436\u043d\u043e \u0431\u0443\u0434\u0435\u0442 \u0434\u0435\u043b\u0430\u0442\u044c:\n\n- \u0413\u0435\u043d\u0435\u0440\u0430\u0446\u0438\u044f \u0441\u0446\u0435\u043d\u0430\u0440\u0438\u0435\u0432 \u0434\u043b\u044f \u0432\u0435\u0440\u0442\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0445 \u0440\u043e\u043b\u0438\u043a\u043e\u0432 \n- \u0421\u044a\u0451\u043c\u043a\u0430 \u0438\u0445 \u0432\u043c\u0435\u0441\u0442\u0435 \u0441 \u0430\u0440\u0442\u0438\u0441\u0442\u043e\u043c \n- \u041c\u043e\u043d\u0442\u0430\u0436 \u0440\u043e\u043b\u0438\u043a\u043e\u0432 \n- \u041f\u0443\u0431\u043b\u0438\u043a\u0430\u0446\u0438\u044f \u043a\u043e\u043d\u0442\u0435\u043d\u0442\u0430 \u0432\u043e \u0432\u0441\u0435\u0445 \u0441\u043e\u0446\u0441\u0435\u0442\u044f\u0445 \n- \u0420\u0430\u0431\u043e\u0442\u0430 \u043d\u0430 \u0440\u043e\u0441\u0442 \u043e\u0445\u0432\u0430\u0442\u043e\u0432 \u0432 \u0441\u043e\u0446\u0441\u0435\u0442\u044f\u0445 \n\n-\u0412\u0430\u0436\u043d\u043e: \u0422\u0435\u0440\u0440\u0438\u0442\u043e\u0440\u0438\u0430\u043b\u044c\u043d\u043e \u043d\u0435\u043e\u0431\u0445\u043e\u0434\u0438\u043c\u043e \u043d\u0430\u0445\u043e\u0434\u0438\u0442\u0441\u044f \u0432 \u041c\u043e\u0441\u043a\u0432\u0435 \u0442\u0430\u043a \u043a\u0430\u043a \u0431\u043e\u043b\u044c\u0448\u0438\u043d\u0441\u0442\u0432\u043e \u0430\u0440\u0442\u0438\u0441\u0442\u043e\u0432 \u043d\u0430\u0445\u043e\u0434\u044f\u0442\u0441\u044f \u0432 \u0441\u0442\u043e\u043b\u0438\u0446\u0435!\n\n\u0421 \u043e\u0442\u043a\u043b\u0438\u043a\u0430\u043c\u0438 \u043f\u0438\u0448\u0438\u0442\u0435: @Tonny_Rozanov \n\n \u0412\u0430\u043a\u0430\u043d\u0441\u0438\u0438 \u043e\u0442 @vacancysmm<<<\n\nPROMPT:\n>>>IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.\n\nIgnore text's markdowm markup, use these emojis to highlight each section: \ud83c\udfe2 for employer, \ud83d\udcbc for title, \ud83d\udccd for location, \ud83d\udd39 for tasks, \ud83d\udcb0 for salary, and \ud83d\udcde for contact.\n\nEach block should be on a new line, in the following format (keep emoji, replace text labels):\n\ud83d\udcbc title  \n\ud83c\udfe2 employer  \n\ud83d\udccd location  \n\ud83d\udd39 tasks  \n\ud83d\udcb0 salary  \n\ud83d\udcde contact details\n\nMake sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.\n\n==TEXT==\n<<<\n\nSUMMARY:\n>>>\ud83c\udfa4 title  \n\u041a\u0440\u0435\u0430\u0442\u0438\u0432\u043d\u044b\u0439 SMM-\u043c\u0435\u043d\u0435\u0434\u0436\u0435\u0440  \n\n\ud83c\udfe2 employer  \n\u041c\u0443\u0437\u044b\u043a\u0430\u043b\u044c\u043d\u044b\u0439 \u043b\u0435\u0439\u0431\u043b  \n\n\ud83d\udccd location  \n\u041c\u043e\u0441\u043a\u0432\u0430 (\u0438\u043b\u0438 \u0443\u0434\u0430\u043b\u0435\u043d\u043d\u043e)  \n\n\ud83d\udcdd tasks  \n\u0413\u0435\u043d\u0435\u0440\u0430\u0446\u0438\u044f \u0441\u0446\u0435\u043d\u0430\u0440\u0438\u0435\u0432 \u0434\u043b\u044f \u0432\u0435\u0440\u0442\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0445 \u0440\u043e\u043b\u0438\u043a\u043e\u0432, \u0441\u044a\u0451\u043c\u043a\u0430 \u0438 \u043c\u043e\u043d\u0442\u0430\u0436 \u0440\u043e\u043b\u0438\u043a\u043e\u0432, \u043f\u0443\u0431\u043b\u0438\u043a\u0430\u0446\u0438\u044f \u043a\u043e\u043d\u0442\u0435\u043d\u0442\u0430 \u0432 \u0441\u043e\u0446\u0441\u0435\u0442\u044f\u0445, \u0440\u0430\u0431\u043e\u0442\u0430 \u043d\u0430 \u0440\u043e\u0441\u0442 \u043e\u0445\u0432\u0430\u0442\u043e\u0432.  \n\n\ud83d\udcb0 salary  \n\u0417\u041f \u043e\u0442 50\u041a  \n\n\ud83d\udcde contact  \n@Tonny_Rozanov  <<<\nAssistant:"},{"assistant_initiates":false,"asst_text":"True","behavior":"degenerate_repetition","conversation_hash":"7b863f46d3c82da62536b1bbc938ac18","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":1917,"n_turns_in_conversation":1,"n_words":295,"source_row_offset":23511,"source_shard":"turns-00047.parquet","timestamp":"Thu, 07 Nov 2024 17:43:54 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 \u0420\u0435\u0442\u0443\u0448\u0435\u0440  \n\ud83c\udfe2 \u0414\u0438\u043d\u0430\u043c\u0438\u0447\u043d\u043e \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u044e\u0449\u0430\u044f\u0441\u044f \u0444\u043e\u0442\u043e\u0441\u0442\u0443\u0434\u0438\u044f  \n\ud83d\udccd \u0423\u0434\u0430\u043b\u0435\u043d\u043d\u0430\u044f \u0440\u0430\u0431\u043e\u0442\u0430  \n\ud83d\udd39 \u041f\u0440\u043e\u0444\u0435\u0441\u0441\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u0430\u044f \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0430 \u0444\u043e\u0442\u043e\u0433\u0440\u0430\u0444\u0438\u0439, \u0446\u0432\u0435\u0442\u043e\u043a\u043e\u0440\u0440\u0435\u043a\u0446\u0438\u044f, \u0443\u0434\u0430\u043b\u0435\u043d\u0438\u0435 \u043d\u0435\u0434\u043e\u0441\u0442\u0430\u0442\u043a\u043e\u0432, \u0443\u043b\u0443\u0447\u0448\u0435\u043d\u0438\u0435 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0430 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439, \u0432\u0437\u0430\u0438\u043c\u043e\u0434\u0435\u0439\u0441\u0442\u0432\u0438\u0435 \u0441 \u0444\u043e\u0442\u043e\u0433\u0440\u0430\u0444\u0430\u043c\u0438 \u0438 \u043a\u043b\u0438\u0435\u043d\u0442\u0430\u043c\u0438, \u0443\u0447\u0430\u0441\u0442\u0438\u0435 \u0432 \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u0438 \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0445 \u043f\u0440\u043e\u0435\u043a\u0442\u043e\u0432  \n\ud83d\udcb0 \u041e\u043a\u043b\u0430\u0434 50000 \u0440. \u043f\u0440\u0438 \u043d\u043e\u0440\u043c\u0435 100 \u0444\u043e\u0442\u043e \u0432 \u0434\u0435\u043d\u044c, \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u044b \u0443\u0432\u0435\u043b\u0438\u0447\u0435\u043d\u0438\u044f; \u0433\u0440\u0430\u0444\u0438\u043a 5/2 \u0441 10 \u0434\u043e 19 \u0447\u0430\u0441\u043e\u0432  \n\ud83d\udcde t.me/Eleonora_3010  ","behavior":"degenerate_repetition","conversation_hash":"4341ce82e051f0d18df26bcf1effe8f2","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":2491,"n_turns_in_conversation":1,"n_words":373,"source_row_offset":23512,"source_shard":"turns-00047.parquet","timestamp":"Thu, 07 Nov 2024 17:43:54 GMT","turn_id":"0b048c446280e9a81d5bd566","turn_index":0,"user_text":"System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.\n\nIgnore text's markdowm markup, use these emojis to highlight each section: \ud83c\udfe2 for employer, \ud83d\udcbc for title, \ud83d\udccd for location, \ud83d\udd39 for tasks, \ud83d\udcb0 for salary, and \ud83d\udcde for contact.\n\nEach block should be on a new line, in the following format (keep emoji, replace text labels):\n\ud83d\udcbc title  \n\ud83c\udfe2 employer  \n\ud83d\udccd location  \n\ud83d\udd39 tasks  \n\ud83d\udcb0 salary  \n\ud83d\udcde contact details\n\nMake sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.\n\n==TEXT==\n\nUser: #\u0432\u0430\u043a\u0430\u043d\u0441\u0438\u044f #\u0440\u0435\u0442\u0443\u0448\u0435\u0440\n\n\u0420\u0435\u0442\u0443\u0448\u0435\u0440\n\u041c\u044b \u2013 \u0434\u0438\u043d\u0430\u043c\u0438\u0447\u043d\u043e \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u044e\u0449\u0430\u044f\u0441\u044f \u0444\u043e\u0442\u043e\u0441\u0442\u0443\u0434\u0438\u044f, \u0438\u0449\u0435\u043c \u0442\u0430\u043b\u0430\u043d\u0442\u043b\u0438\u0432\u043e\u0433\u043e \u0438 \u043a\u0440\u0435\u0430\u0442\u0438\u0432\u043d\u043e\u0433\u043e \u0440\u0435\u0442\u0443\u0448\u0435\u0440\u0430 \u0434\u043b\u044f \u0440\u0430\u0431\u043e\u0442\u044b \u0432 \u043d\u0430\u0448\u0435\u0439 \u043a\u043e\u043c\u0430\u043d\u0434\u0435. \u0415\u0441\u043b\u0438 \u0432\u044b \u0443\u0432\u043b\u0435\u0447\u0435\u043d\u044b \u0444\u043e\u0442\u043e\u043c\u0430\u0441\u0442\u0435\u0440\u0441\u0442\u0432\u043e\u043c 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\u043f\u0440\u043e\u0444\u0435\u0441\u0441\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u0440\u043e\u0441\u0442\u0430.\n- \u0423\u0447\u0430\u0441\u0442\u0438\u0435 \u0432 \u0438\u043d\u0442\u0435\u0440\u0435\u0441\u043d\u044b\u0445 \u043f\u0440\u043e\u0435\u043a\u0442\u0430\u0445.\n\n\u041e\u0442\u043a\u043b\u0438\u043a\u0438 \u043f\u0440\u043e\u0441\u044c\u0431\u0430 \u043e\u0442\u043f\u0440\u0430\u0432\u043b\u044f\u0442\u044c \u0432 \u0442\u0435\u043b\u0435\u0433\u0440\u0430\u043c t.me/Eleonora_3010\nAssistant:"},{"assistant_initiates":false,"asst_text":"\u0418\u0433\u0440\u0430 \"Escape Ant from Terrain\" (\u0438\u043b\u0438 \"\u0423\u0431\u0435\u0436\u0430\u0442\u044c \u0441 \u043c\u0443\u0440\u0430\u0432\u044c\u0438\u043d\u043e\u0439 \u0437\u0435\u043c\u043b\u0438\") \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 \u0441\u043e\u0431\u043e\u0439 \u0443\u0432\u043b\u0435\u043a\u0430\u0442\u0435\u043b\u044c\u043d\u043e\u0435 \u043f\u0440\u0438\u043a\u043b\u044e\u0447\u0435\u043d\u0438\u0435, \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0430\u043d\u043d\u043e\u0435 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0435\u0439 Games2rule.com. \u042d\u0442\u043e HTML5-\u0438\u0433\u0440\u0430, \u0432 \u043a\u043e\u0442\u043e\u0440\u043e\u0439 \u043f\u0435\u0440\u0435\u0434 \u0438\u0433\u0440\u043e\u043a\u0430\u043c\u0438 \u0441\u0442\u043e\u0438\u0442 \u0437\u0430\u0434\u0430\u0447\u0430 \u043f\u043e\u043c\u043e\u0447\u044c \u043c\u0443\u0440\u0430\u0432\u044c\u044e \u0432\u044b\u0431\u0440\u0430\u0442\u044c\u0441\u044f \u0438\u0437 \u0442\u0440\u0443\u0434\u043d\u043e\u0439 \u0441\u0438\u0442\u0443\u0430\u0446\u0438\u0438.\n\n\u0421\u044e\u0436\u0435\u0442 \u0438\u0433\u0440\u044b \u043d\u0430\u0447\u0438\u043d\u0430\u0435\u0442\u0441\u044f \u0441 \u0442\u043e\u0433\u043e, \u0447\u0442\u043e \u0432\u044b, \u0433\u0443\u043b\u044f\u044f \u043f\u043e \u043b\u0435\u0441\u0443, 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\u0441\u043b\u0443\u0436\u0438\u0442 \u0445\u043e\u0440\u043e\u0448\u0438\u043c \u0438\u0441\u043f\u044b\u0442\u0430\u043d\u0438\u0435\u043c \u0434\u043b\u044f \u043b\u044e\u0431\u0438\u0442\u0435\u043b\u0435\u0439 \u043b\u043e\u0433\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0437\u0430\u0434\u0430\u0447, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043f\u043e\u043c\u043e\u0433\u0443\u0442 \u0432\u0430\u043c \u043d\u0430\u0441\u043b\u0430\u0434\u0438\u0442\u044c\u0441\u044f \u0437\u0430\u0445\u0432\u0430\u0442\u044b\u0432\u0430\u044e\u0449\u0438\u043c \u0438\u0433\u0440\u043e\u0432\u044b\u043c \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u043c \u043d\u0430 \u043f\u0440\u043e\u0442\u044f\u0436\u0435\u043d\u0438\u0438 \u0432\u0441\u0435\u0433\u043e \u0432\u0440\u0435\u043c\u0435\u043d\u0438.","behavior":"degenerate_repetition","conversation_hash":"5a16c0c86c562a97340bb9778f7875b2","conversation_redacted":false,"conversation_toxic":false,"country":"The Netherlands","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Russian","model":"gpt-4o-2024-08-06","n_chars":1815,"n_turns_in_conversation":1,"n_words":254,"source_row_offset":23513,"source_shard":"turns-00047.parquet","timestamp":"Thu, 07 Nov 2024 17:43:56 GMT","turn_id":"0c2b2c41081b24b58235359d","turn_index":0,"user_text":"\u0422\u044b \u2014 \u044d\u043a\u0441\u043f\u0435\u0440\u0442 \u043f\u043e \u0438\u0433\u0440\u0430\u043c. \u0423 \u0442\u0435\u0431\u044f \u0435\u0441\u0442\u044c \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044f \u043e \u0438\u0433\u0440\u0435 \u0441 \u0440\u0430\u0437\u043d\u044b\u0445 \u0441\u0430\u0439\u0442\u043e\u0432 \u0432 \u0444\u043e\u0440\u043c\u0430\u0442\u0435 JSON, id - \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0439 \u043d\u043e\u043c\u0435\u0440, name - \u043c\u0430\u0441\u0441\u0438\u0432 \u0438\u043c\u0435\u043d \u0438\u0433\u0440\u044b, description - \u043c\u0430\u0441\u0441\u0438\u0432 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0439 \u0438\u0433\u0440\u044b, genre - \u043c\u0430\u0441\u0441\u0438\u0432 \u0436\u0430\u043d\u0440\u043e\u0432. \u0422\u0432\u043e\u044f \u0437\u0430\u0434\u0430\u0447\u0430 \u043d\u0430\u043f\u0438\u0441\u0430\u0442\u044c \u0431\u043e\u043b\u044c\u0448\u043e\u0435 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u0434\u0430\u043d\u043d\u043e\u0439 \u0442\u0435\u0431\u0435 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438, \u0442\u0430\u043a \u0447\u0442\u043e \u0431\u044b \u043e\u043d\u043e \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u043b\u0430 \u0432\u0441\u044e \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044e \u0431\u0435\u0437 \u0434\u0443\u0431\u043b\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f.  ```{\"_id\":\"1\",\"name\":[\"g2r-escape ant from terrain html5 | 8bgames\",\"\u0438\u0433\u0440\u0430 \u0443\u0431\u0435\u0436\u0430\u0442\u044c \u0441 \u043c\u0443\u0440\u0430\u0432\u044c\u0438\u043d\u043e\u0439 \u0437\u0435\u043c\u043b\u0438 \u043e\u043d\u043b\u0430\u0439\u043d\"],\"description\":[\"g2r-escape ant from terrain html5 is developed by games2rule.com.in this escape game, you came to terrain. but unfortunately, an ant is trapped inside the terrain, so you have to help the ant to escape. mouse interact \u00a0mouse interact\",\"\u0433\u0443\u043b\u044f\u044f \u043f\u043e \u043b\u0435\u0441\u0443, \u0432\u044b \u043e\u043a\u0430\u0437\u0430\u043b\u0438\u0441\u044c \u043d\u0430 \u0442\u0435\u0440\u0440\u0438\u0442\u043e\u0440\u0438\u0438, \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u043f\u0440\u0438\u043d\u0430\u0434\u043b\u0435\u0436\u0438\u0442 \u043c\u0443\u0440\u0430\u0432\u044c\u044f\u043c \u0438 \u043e\u0431 \u044d\u0442\u043e\u043c \u0432\u0430\u043c \u043d\u0430\u043f\u043e\u043c\u043d\u0438\u0442 \u043c\u0438\u043b\u044b\u0439 \u043c\u0443\u0440\u0430\u0432\u044c\u0438\u0448\u043a\u0430 \u0432 escape ant from terrain. \u043e\u043d \u0436\u0435 \u0441\u043e\u043e\u0431\u0449\u0438\u0442, \u0447\u0442\u043e \u0432\u0430\u043c \u043d\u0443\u0436\u043d\u043e \u043f\u043e\u0441\u043a\u043e\u0440\u0435\u0435 \u043f\u043e\u043a\u0438\u043d\u0443\u0442\u044c \u043c\u0443\u0440\u0430\u0432\u044c\u0438\u043d\u0443\u044e \u0437\u0435\u043c\u043b\u044e, \u043f\u043e\u043a\u0430 \u0435\u0433\u043e \u0441\u043e\u0440\u043e\u0434\u0438\u0447\u0438 \u043d\u0435 \u0440\u0430\u0437\u043e\u0437\u043b\u0438\u043b\u0438\u0441\u044c. \u043c\u0443\u0440\u0430\u0432\u0435\u0439 \u0434\u0430\u0436\u0435 \u0433\u043e\u0442\u043e\u0432 \u043f\u043e\u043c\u043e\u0447\u044c \u0432\u0430\u043c \u043d\u0430\u0439\u0442\u0438 \u0442\u0440\u043e\u043f\u0438\u043d\u043a\u0443.\"],\"genre\":[]}```"},{"assistant_initiates":false,"asst_text":"False","behavior":"degenerate_repetition","conversation_hash":"9cb4ab0e7015c417209e5514bd179b1a","conversation_redacted":false,"conversation_toxic":false,"country":"Tunisia","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":2872,"n_turns_in_conversation":1,"n_words":423,"source_row_offset":23514,"source_shard":"turns-00047.parquet","timestamp":"Thu, 07 Nov 2024 17:43:56 GMT","turn_id":"016fab0ccef609b1040cd27b","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>>>\u200d\u200d\u200d\u200d\u200d\u200d\u200d\u0421\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0441\u0442 \u043a\u043e\u043d\u0442\u0430\u043a\u0442\u043d\u043e\u0433\u043e \u0446\u0435\u043d\u0442\u0440\u0430 (\u0443\u0434\u0430\u043b\u0451\u043d\u043d\u043e \u0438\u043b\u0438 \u0432 \u043e\u0444\u0438\u0441\u0435)\n\n\u041c\u044b \u0443\u0431\u0435\u0436\u0434\u0435\u043d\u044b, \u0447\u0442\u043e \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0441\u0442 \u043a\u043e\u043d\u0442\u0430\u043a\u0442\u043d\u043e\u0433\u043e \u0446\u0435\u043d\u0442\u0440\u0430 - \u0434\u043e\u0441\u0442\u043e\u0439\u043d\u0430\u044f \u0438 \u0438\u043d\u0442\u0435\u0440\u0435\u0441\u043d\u0430\u044f \u0440\u0430\u0431\u043e\u0442\u0430. \u041f\u0440\u0438\u0445\u043e\u0434\u0438 \u0432 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u044e, \u043f\u043e\u043b\u0443\u0447\u0438 \u043f\u0440\u0438\u0432\u0435\u0442\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0439 \u0431\u043e\u043d\u0443\u0441, \u043f\u0440\u0438\u0432\u0435\u0434\u0438 \u0434\u0440\u0443\u0433\u0430, \u0438 \u043c\u044b \u0437\u0430\u043f\u043b\u0430\u0442\u0438\u043c \u0435\u0449\u0435 15 000 \u0440\u0443\u0431\u043b\u0435\u0439.\n\n\u041c\u044b \u043f\u0440\u0435\u0434\u043b\u0430\u0433\u0430\u0435\u043c:\n\u2714\ufe0f 100% \u0431\u0435\u043b\u044b\u0439 \u0434\u043e\u0445\u043e\u0434, \u043f\u043e\u0447\u0430\u0441\u043e\u0432\u0430\u044f \u043e\u043f\u043b\u0430\u0442\u0430, \u0434\u0438\u0441\u0442\u0430\u043d\u0446\u0438\u043e\u043d\u043d\u044b\u0439 \u0444\u043e\u0440\u043c\u0430\u0442;\n\u2714\ufe0f \u041e\u0444\u043e\u0440\u043c\u043b\u0435\u043d\u0438\u0435 \u043f\u043e \u0434\u043e\u0433\u043e\u0432\u043e\u0440\u0443 \u0438\u043b\u0438 \u0441\u0430\u043c\u043e\u0437\u0430\u043d\u044f\u0442\u043e\u0441\u0442\u044c;\n\u2714\ufe0f \u041e\u043f\u043b\u0430\u0447\u0438\u0432\u0430\u0435\u043c\u043e\u0435 \u0437\u0430\u043a\u0430\u0437\u0447\u0438\u043a\u043e\u043c \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u0435 - 6 \u0440\u0430\u0431\u043e\u0447\u0438\u0445 \u0434\u043d\u0435\u0439;\n\u2714\ufe0f \u0412\u044b\u0431\u043e\u0440 \u043f\u0440\u043e\u0435\u043a\u0442\u0430 \u0438 \u0443\u0434\u043e\u0431\u043d\u043e\u0433\u043e \u0440\u0435\u0436\u0438\u043c\u0430 (5/2, 2/2);\n\u2714\ufe0f \u0412\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u044c \u0447\u0430\u0441\u0442\u0438\u0447\u043d\u043e\u0439 \u0437\u0430\u043d\u044f\u0442\u043e\u0441\u0442\u0438 \u0438 \u0441\u043e\u0432\u043c\u0435\u0449\u0435\u043d\u0438\u0435 \u0441 \u0443\u0447\u0435\u0431\u043e\u0439;\n\u2714\ufe0f \u0414\u0440\u0443\u0436\u043d\u0430\u044f \u043a\u043e\u043c\u0430\u043d\u0434\u0430, \u043f\u0440\u0438\u0432\u043e\u0434\u0438 \u0441\u0432\u043e\u0438\u0445 \u0434\u0440\u0443\u0437\u0435\u0439 \u0438 \u043f\u043e\u043b\u0443\u0447\u0438 15 000 \u0440\u0443\u0431. \u0437\u0430 \u043a\u0430\u0436\u0434\u043e\u0433\u043e.\n\u2714\ufe0f \u0412\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u044c \u0432\u043b\u0438\u044f\u0442\u044c \u043d\u0430 \u0441\u0432\u043e\u0439 \u0434\u043e\u0445\u043e\u0434 \u0438 \u043f\u0440\u043e\u0444\u0435\u0441\u0441\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0439 \u0440\u043e\u0441\u0442;\n\u2714\ufe0f \u041f\u0440\u043e\u0445\u043e\u0436\u0434\u0435\u043d\u0438\u0435 \u0438\u043d\u0442\u0435\u0440\u0432\u044c\u044e \u0432 \u0443\u0434\u043e\u0431\u043d\u043e\u0435 \u0434\u043b\u044f \u0442\u0435\u0431\u044f \u0432\u0440\u0435\u043c\u044f, \u0443\u0434\u0430\u043b\u0435\u043d\u043d\u043e.\n\n\u0416\u0434\u0435\u043c \u043e\u0442 \u0442\u0435\u0431\u044f:\n- \u0413\u043e\u0442\u043e\u0432\u043d\u043e\u0441\u0442\u044c \u043e\u0441\u0443\u0449\u0435\u0441\u0442\u0432\u043b\u044f\u0442\u044c \u043a\u043e\u043d\u0441\u0443\u043b\u044c\u0442\u0430\u0446\u0438\u0438 \u043f\u043e \u0432\u043e\u043f\u0440\u043e\u0441\u0430\u043c \u0441\u0435\u0440\u0432\u0438\u0441\u0430, \u0443\u0441\u043b\u0443\u0433\u0430\u043c \u0438 \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u0430\u043c \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0439-\u043f\u0430\u0440\u0442\u043d\u0435\u0440\u043e\u0432;\n- \u041b\u0435\u0433\u043a\u043e\u0441\u0442\u044c \u0432 \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u0438 \u043a\u043e\u043d\u0442\u0430\u043a\u0442\u0430 \u0441 \u043a\u043b\u0438\u0435\u043d\u0442\u043e\u043c \u0438 \u0436\u0435\u043b\u0430\u043d\u0438\u0435 \u043f\u043e\u043c\u043e\u0447\u044c;\n- \u0421\u0442\u0430\u0431\u0438\u043b\u044c\u043d\u044b\u0439 \u0438\u043d\u0442\u0435\u0440\u043d\u0435\u0442 \u0432 \u0442\u0438\u0445\u043e\u043c \u043c\u0435\u0441\u0442\u0435, \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440 \u0438 \u0433\u0430\u0440\u043d\u0438\u0442\u0443\u0440\u0430\n(\u0440\u0435\u043a\u0440\u0443\u0442\u0435\u0440 \u043f\u043e\u043c\u043e\u0436\u0435\u0442 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0438\u0442\u044c \u0442\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u0445\u0430\u0440\u0430\u043a\u0442\u0435\u0440\u0438\u0441\u0442\u0438\u043a\u0438 \u043d\u0430 \u0438\u043d\u0442\u0435\u0440\u0432\u044c\u044e).\n\n\u0423 \u043d\u0430\u0441 \u0431\u0430\u043b\u0430\u043d\u0441 \u0440\u0430\u0431\u043e\u0442\u044b \u0438 \u0436\u0438\u0437\u043d\u0438:\n- \u043c\u043e\u0431\u0438\u043b\u044c\u043d\u043e\u0435 \u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u0435 \u0441 \u0442\u0432\u043e\u0440\u0447\u0435\u0441\u043a\u0438\u043c\u0438, \u0432\u043e\u043b\u043e\u043d\u0442\u0435\u0440\u0441\u043a\u0438\u043c\u0438 \u0438 \u0417\u041e\u0416 \u043c\u0435\u0440\u043e\u043f\u0440\u0438\u044f\u0442\u0438\u044f\u043c\u0438;\n- \u043d\u0430\u0441\u044b\u0449\u0435\u043d\u043d\u0430\u044f \u043a\u043e\u0440\u043f\u043e\u0440\u0430\u0442\u0438\u0432\u043d\u0430\u044f \u0436\u0438\u0437\u043d\u044c: \u043f\u0440\u0430\u0437\u0434\u043d\u0438\u043a\u0438, \u0441\u043e\u0440\u0435\u0432\u043d\u043e\u0432\u0430\u043d\u0438\u044f, \u043a\u043e\u043d\u043a\u0443\u0440\u0441\u044b;\n- \u043d\u0430\u0433\u0440\u0430\u0436\u0434\u0435\u043d\u0438\u044f \u0441\u0443\u0432\u0435\u043d\u0438\u0440\u0430\u043c\u0438 \u0437\u0430 \u0434\u043e\u0441\u0442\u0438\u0436\u0435\u043d\u0438\u044f \u0438 \u0443\u0441\u043f\u0435\u0445\u0438, \u043f\u0440\u043e\u0434\u0432\u0438\u0436\u0435\u043d\u0438\u0435 \u0438\u043d\u0438\u0446\u0438\u0430\u0442\u0438\u0432.\n\n\u041a\u043e\u043d\u0442\u0430\u043a\u0442\u044b: \u0437\u0430\u043f\u043e\u043b\u043d\u0438\u0442\u0435 \u0430\u043d\u043a\u0435\u0442\u0443<<<\n\nPROMPT:\n>>>IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.\n\nIgnore text's markdowm markup, use these emojis to highlight each section: \ud83c\udfe2 for employer, \ud83d\udcbc for title, \ud83d\udccd for location, \ud83d\udd39 for tasks, \ud83d\udcb0 for salary, and \ud83d\udcde for contact.\n\nEach block should be on a new line, in the following format (keep emoji, replace text labels):\n\ud83d\udcbc title  \n\ud83c\udfe2 employer  \n\ud83d\udccd location  \n\ud83d\udd39 tasks  \n\ud83d\udcb0 salary  \n\ud83d\udcde contact details\n\nMake sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.\n\n==TEXT==\n<<<\n\nSUMMARY:\n>>>\ud83d\udcdd title  \n\u0421\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0441\u0442 \u043a\u043e\u043d\u0442\u0430\u043a\u0442\u043d\u043e\u0433\u043e \u0446\u0435\u043d\u0442\u0440\u0430  \n\n\ud83c\udfe2 employer  \n\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f  \n\n\ud83d\udccd location  \n\u0423\u0434\u0430\u043b\u0451\u043d\u043d\u043e \u0438\u043b\u0438 \u0432 \u043e\u0444\u0438\u0441\u0435  \n\n\ud83d\udd0d tasks  \n\u041a\u043e\u043d\u0441\u0443\u043b\u044c\u0442\u0430\u0446\u0438\u0438 \u043f\u043e \u0432\u043e\u043f\u0440\u043e\u0441\u0430\u043c \u0441\u0435\u0440\u0432\u0438\u0441\u0430, \u0443\u0441\u043b\u0443\u0433\u0430\u043c \u0438 \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u0430\u043c \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0439-\u043f\u0430\u0440\u0442\u043d\u0435\u0440\u043e\u0432; \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u0435 \u043a\u043e\u043d\u0442\u0430\u043a\u0442\u0430 \u0441 \u043a\u043b\u0438\u0435\u043d\u0442\u0430\u043c\u0438.  \n\n\ud83d\udcb0 salary  \n100% \u0431\u0435\u043b\u044b\u0439 \u0434\u043e\u0445\u043e\u0434, \u043f\u043e\u0447\u0430\u0441\u043e\u0432\u0430\u044f \u043e\u043f\u043b\u0430\u0442\u0430; \u043f\u0440\u0438\u0432\u0435\u0442\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0439 \u0431\u043e\u043d\u0443\u0441 \u0438 \u0431\u043e\u043d\u0443\u0441 \u0437\u0430 \u043f\u0440\u0438\u0432\u0435\u0434\u0435\u043d\u0438\u0435 \u0434\u0440\u0443\u0433\u0430.  \n\n\ud83d\udcde contact  \n\u0417\u0430\u043f\u043e\u043b\u043d\u0438\u0442\u0435 \u0430\u043d\u043a\u0435\u0442\u0443.  <<<\nAssistant:"},{"assistant_initiates":false,"asst_text":"False","behavior":"degenerate_repetition","conversation_hash":"c80f565341fb304f8934db0a94e1512a","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":1545,"n_turns_in_conversation":1,"n_words":236,"source_row_offset":23515,"source_shard":"turns-00047.parquet","timestamp":"Thu, 07 Nov 2024 17:43:57 GMT","turn_id":"e1b246f62a79654f41b885a7","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\u0414\u0438\u0437\u0430\u0439\u043d\u0435\u0440\n\n\u0417\u0430\u0434\u0430\u0447\u0430:\n\u041e\u0444\u043e\u0440\u043c\u043b\u0435\u043d\u0438\u0435 \u0441\u043e\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u0445 \u0441\u0435\u0442\u0435\u0439, \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0430 \u0434\u0438\u0437\u0430\u0439\u043d\u0430 \u043f\u043e\u0441\u0430\u0434\u043e\u0447\u043d\u044b\u0445 \u0441\u0442\u0440\u0430\u043d\u0438\u0446 \n\n\u0422\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f:\n\u041f\u0440\u0430\u0439\u0441, \u043f\u043e\u0440\u0442\u0444\u043e\u043b\u0438\u043e \n\n\u041e\u0442\u043a\u043b\u0438\u043a\u043d\u0443\u0442\u044c\u0441\u044f: @Leysan_n13<<<\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 Designer  \n\ud83c\udfe2 Leysan_n13  \n\ud83d\udccd Location Not Specified  \n\ud83d\udd39 Tasks: \u041e\u0444\u043e\u0440\u043c\u043b\u0435\u043d\u0438\u0435 \u0441\u043e\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u0445 \u0441\u0435\u0442\u0435\u0439, \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0430 \u0434\u0438\u0437\u0430\u0439\u043d\u0430 \u043f\u043e\u0441\u0430\u0434\u043e\u0447\u043d\u044b\u0445 \u0441\u0442\u0440\u0430\u043d\u0438\u0446  \n\ud83d\udcb0 Salary Not Specified  \n\ud83d\udcde Contact: @Leysan_n13<<<\nAssistant:"},{"assistant_initiates":false,"asst_text":"\ud83d\udcbc PHP Developer  \n\ud83c\udfe2 VK  \n\ud83d\udccd \u041c\u043e\u0441\u043a\u0432\u0430, \u0420\u043e\u0441\u0441\u0438\u044f  \n\ud83d\udd39 \u0420\u0430\u0431\u043e\u0442\u0430 \u0441 \u0431\u0430\u0437\u0430\u043c\u0438 \u0434\u0430\u043d\u043d\u044b\u0445, PHP, \u0430\u043b\u0433\u043e\u0440\u0438\u0442\u043c\u0430\u043c\u0438, \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435\u043c \u043d\u0430\u0433\u0440\u0443\u0437\u043a\u0438, \u0441\u0435\u0442\u044f\u043c\u0438, data science/ data engineering.  \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 \u043d\u0435 \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u044b  ","behavior":"degenerate_repetition","conversation_hash":"421d47cb25490489951ba3fe824c93d9","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":1273,"n_turns_in_conversation":1,"n_words":204,"source_row_offset":23516,"source_shard":"turns-00047.parquet","timestamp":"Thu, 07 Nov 2024 17:43:57 GMT","turn_id":"aa6b5333aa3771498178a866","turn_index":0,"user_text":"System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.\n\nIgnore text's markdowm markup, use these emojis to highlight each section: \ud83c\udfe2 for employer, \ud83d\udcbc for title, \ud83d\udccd for location, \ud83d\udd39 for tasks, \ud83d\udcb0 for salary, and \ud83d\udcde for contact.\n\nEach block should be on a new line, in the following format (keep emoji, replace text labels):\n\ud83d\udcbc title  \n\ud83c\udfe2 employer  \n\ud83d\udccd location  \n\ud83d\udd39 tasks  \n\ud83d\udcb0 salary  \n\ud83d\udcde contact details\n\nMake sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.\n\n==TEXT==\n\nUser: \ud83d\udfe5 PHP Developer | 3 year(s) | Senior\n\u25ab\ufe0f VK\n\u25ab\ufe0f Russia | Moscow\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: databases, php, algorithms, load_balancing, networks, data_science/data_engineering\nTags: #red #it #php\n\n\ud83d\udc49 \u041a\u043e\u043d\u0442\u0430\u043a\u0442\u044b \u0438 \u043f\u043e\u043b\u043d\u043e\u0435 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435\nAssistant:"},{"assistant_initiates":false,"asst_text":"False","behavior":"degenerate_repetition","conversation_hash":"19badcacb646038eec99df2e5d7b27ec","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":653,"n_turns_in_conversation":1,"n_words":99,"source_row_offset":23517,"source_shard":"turns-00047.parquet","timestamp":"Thu, 07 Nov 2024 17:43:59 GMT","turn_id":"36b18f7654bb3afbb66772e9","turn_index":0,"user_text":"System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. Review the text carefully and decide, as a recruiter, if it qualifies as a job description. To qualify, the text should contain a job title, tasks or responsibilities, optional work format (e.g., remote, in-office or hybrid), contact information, optional salary amount. Multiple job descriptions at once do not quialify. Respond strictly with either 'True' or 'False'.\n\n==TEXT==\n\nUser: \ud83d\udfe5 Security Engineer | Senior\n\u25ab\ufe0f Shopify | E-commerce\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: siem, iam\nTags: #red #it #remote #infosec\n\n\ud83d\udc49 \u041a\u043e\u043d\u0442\u0430\u043a\u0442\u044b \u0438 \u043f\u043e\u043b\u043d\u043e\u0435 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435\nAssistant:"}],"shard":{"index":47,"name":"turns-00047.parquet","rows":41733}}