{"behavior":"degenerate_repetition","label_filter":null,"limit":10,"next_offset":9291,"offset":9281,"previous_offset":null,"rows":[{"assistant_initiates":false,"asst_text":"\ud83d\udcbc \u041c\u0435\u043d\u0435\u0434\u0436\u0435\u0440 \u043f\u043e \u0440\u0430\u0431\u043e\u0442\u0435 \u0441 \u043a\u043b\u0438\u0435\u043d\u0442\u0430\u043c\u0438  \n\ud83c\udfe2 \u041d\u0435 \u0443\u043a\u0430\u0437\u0430\u043d\u043e  \n\ud83d\udccd \u0423\u0434\u0430\u043b\u0435\u043d\u043d\u043e  \n\ud83d\udd39 \u041a\u043e\u043d\u0441\u0443\u043b\u044c\u0442\u0430\u0446\u0438\u044f \u043a\u043b\u0438\u0435\u043d\u0442\u043e\u0432 \u043f\u043e \u043e\u043d\u043b\u0430\u0439\u043d \u043a\u0443\u0440\u0441\u0443, \u043e\u0442\u0432\u0435\u0442\u044b \u043d\u0430 \u0432\u043e\u043f\u0440\u043e\u0441\u044b \u043f\u043e \u0446\u0435\u043d\u043d\u044b\u043c \u0431\u0443\u043c\u0430\u0433\u0430\u043c, \u043f\u0440\u043e\u0432\u0435\u0434\u0435\u043d\u0438\u0435 Zoom-\u0432\u0441\u0442\u0440\u0435\u0447 \u0438 \u0437\u0430\u043a\u043b\u044e\u0447\u0435\u043d\u0438\u0435 \u0441\u0434\u0435\u043b\u043e\u043a  \n\ud83d\udcb0 700 \u2013 2500 USD \u043d\u0430 \u0440\u0443\u043a\u0438  \n\ud83d\udcde +77023122992 (\u043f\u0438\u0441\u0430\u0442\u044c \u0432 \u0440\u0430\u0431\u043e\u0447\u0435\u0435 \u0432\u0440\u0435\u043c\u044f \u0441 10-19 \u043f\u043e \u041c\u0421\u041a)  \n\ud83d\udce7 zhazira.kenzhegaliyeva@gmail.com  ","behavior":"degenerate_repetition","conversation_hash":"87e00cb87ca1b2a1473e7d66e584a85f","conversation_redacted":false,"conversation_toxic":false,"country":"","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Russian","model":"gpt-4o-2024-08-06","n_chars":2179,"n_turns_in_conversation":1,"n_words":336,"source_row_offset":9281,"source_shard":"turns-00046.parquet","timestamp":"Wed, 06 Nov 2024 08:00:55 GMT","turn_id":"2283efad8dee021ea84ada31","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: #\u041c\u0435\u043d\u0435\u0434\u0436\u0435\u0440_\u043f\u043e_\u0440\u0430\u0431\u043e\u0442\u0435_\u0441_\u043a\u043b\u0438\u0435\u043d\u0442\u0430\u043c\u0438\n700 \u2013 2500 USD \u043d\u0430 \u0440\u0443\u043a\u0438\n\n\u041e\u0431\u044f\u0437\u0430\u043d\u043d\u043e\u0441\u0442\u0438:\n\u2022 \u041a\u043e\u043d\u0441\u0443\u043b\u044c\u0442\u0430\u0446\u0438\u044f \u043a\u043b\u0438\u0435\u043d\u0442\u043e\u0432, \u043e\u0431\u0443\u0447\u0430\u044e\u0449\u0438\u0445\u0441\u044f \u043d\u0430 \u043e\u043d\u043b\u0430\u0439\u043d \u043a\u0443\u0440\u0441\u0435 \u043f\u043e \u0418\u043d\u0432\u0435\u0441\u0442\u0438\u0446\u0438\u044f\u043c (\u0444\u043e\u043d\u0434\u043e\u0432\u044b\u0439 \u0440\u044b\u043d\u043e\u043a, \u0432\u0430\u043b\u044e\u0442\u043d\u044b\u0439);\n\u2022 \u041e\u0442\u0432\u0435\u0442\u044b \u043d\u0430 \u0432\u043e\u043f\u0440\u043e\u0441\u044b, \u0440\u0430\u0437\u044a\u044f\u0441\u043d\u0435\u043d\u0438\u0435 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438 \u043e\u0442\u043d\u043e\u0441\u0438\u0442\u0435\u043b\u044c\u043d\u043e \u043f\u043e\u043a\u0443\u043f\u043e\u043a \u0442\u0435\u0445 \u0438\u043b\u0438 \u0438\u043d\u044b\u0445 \u0446\u0435\u043d\u043d\u044b\u0445 \u0431\u0443\u043c\u0430\u0433, \u0432\u0430\u043b\u044e\u0442;\n\u2022 \u041a\u043e\u043d\u0441\u0443\u043b\u044c\u0442\u0430\u0446\u0438\u043e\u043d\u043d\u0430\u044f \u043f\u043e\u043c\u043e\u0449\u044c \u0432 \u0444\u043e\u0440\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0438 \u043a\u043b\u0438\u0435\u043d\u0442\u0441\u043a\u043e\u0433\u043e \u043f\u043e\u0440\u0442\u0444\u0435\u043b\u044f.\n\u2022 \u041f\u0440\u043e\u0432\u0435\u0434\u0435\u043d\u0438\u0435 \u0412\u0418\u0414\u0415\u041e Zoom-\u0432\u0441\u0442\u0440\u0435\u0447, \u043f\u0440\u0435\u0437\u0435\u043d\u0442\u0430\u0446\u0438\u044f \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0438 \u0438 \u0437\u0430\u043a\u043b\u044e\u0447\u0435\u043d\u0438\u0435 \u0441\u0434\u0435\u043b\u043e\u043a;\n\n\u0422\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f:\n\u2022 \u0413\u0440\u0430\u043c\u043e\u0442\u043d\u0430\u044f \u0440\u0435\u0447\u044c \u0438 \u0443\u043c\u0435\u043d\u0438\u0435 \u0447\u0435\u0442\u043a\u043e \u0434\u043e\u043d\u043e\u0441\u0438\u0442\u044c \u0441\u0432\u043e\u0438 \u043c\u044b\u0441\u043b\u0438;\n\u2022 \u0423\u0432\u0435\u0440\u0435\u043d\u043d\u043e\u0441\u0442\u044c \u0432 \u0441\u0435\u0431\u0435, \u0442\u0432\u0435\u0440\u0434\u043e\u0441\u0442\u044c \u043d\u0430\u043c\u0435\u0440\u0435\u043d\u0438\u0439;\n\u2022 \u041d\u0430\u043b\u0438\u0447\u0438\u0435 \u0441\u043e\u0431\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0433\u043e \u041f\u041a \u0441 \u043a\u0430\u043c\u0435\u0440\u043e\u0439, \u0433\u0430\u0440\u043d\u0438\u0442\u0443\u0440\u044b, \u0438 \u043f\u043e\u0441\u0442\u043e\u044f\u043d\u043d\u044b\u0439 \u0434\u043e\u0441\u0442\u0443\u043f \u043a \u0438\u043d\u0442\u0435\u0440\u043d\u0435\u0442\u0443;\n\u2022 \u0417\u043d\u0430\u043d\u0438\u0435 \u0440\u0430\u0437\u0433\u043e\u0432\u043e\u0440\u043d\u043e\u0433\u043e \u0430\u043d\u0433\u043b\u0438\u0439\u0441\u043a\u043e\u0433\u043e \u043e\u0442 B2.\n\n\u041c\u044b \u043f\u0440\u0435\u0434\u043b\u0430\u0433\u0430\u0435\u043c:\n\u2022 \u0420\u0430\u0431\u043e\u0442\u0443 \u0432 \u0443\u0434\u0430\u043b\u0435\u043d\u043d\u043e\u043c \u0444\u043e\u0440\u043c\u0430\u0442\u0435;\n\u2022 \u0413\u0440\u0430\u0444\u0438\u043a \u0440\u0430\u0431\u043e\u0442\u044b 5/2 \u0441 10:00 \u0434\u043e 19:00 \u043f\u043e \u043c\u043e\u0441\u043a\u043e\u0432\u0441\u043a\u043e\u043c\u0443 \u0432\u0440\u0435\u043c\u0435\u043d\u0438;\n\u2022 \u041a\u043e\u043d\u043a\u0443\u0440\u0435\u043d\u0442\u043d\u0443\u044e \u0437\u0430\u0440\u0430\u0431\u043e\u0442\u043d\u0443\u044e \u043f\u043b\u0430\u0442\u0443 \u043e\u043a\u043b\u0430\u0434 \u043e\u0442 400$ \u0434\u043e 700$ (\u043f\u043e \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0430\u043c \u0432\u0442\u043e\u0440\u043e\u0433\u043e \u044d\u0442\u0430\u043f\u0430 \u0441 \u0420\u041e\u041f\u043e\u043c + % \u043e\u0442 1 \u0434\u043e 5);\n\u2022 \u041e\u043f\u043b\u0430\u0447\u0438\u0432\u0430\u0435\u043c\u043e\u0435 \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u0435;\n\u2022 \u041a\u0430\u0440\u044c\u0435\u0440\u043d\u044b\u0439 \u0440\u043e\u0441\u0442 \u0434\u043e \u0420\u041e\u041f\u0430.\n\n\u041a\u043e\u043d\u0442\u0430\u043a\u0442\u044b:\n+77023122992 (\u041f\u0418\u0421\u0410\u0422\u042c \u0412 \u0420\u0410\u0411\u041e\u0427\u0415\u0415 \u0412\u0420\u0415\u041c\u042f \u0421 10-19 \u041f\u041e \u041c\u0421\u041a)\nzhazira.kenzhegaliyeva@gmail.com\n\n\ud83d\ude00\ud83d\ude03\ud83d\ude04 - 25 \u0432\u0430\u043a\u0430\u043d\u0441\u0438\u0439 \u043f\u043e \u0443\u0434\u0430\u043b\u0435\u043d\u043a\u0435 \u0435\u0436\u0435\u0434\u043d\u0435\u0432\u043d\u043e\nAssistant:"},{"assistant_initiates":false,"asst_text":"True","behavior":"degenerate_repetition","conversation_hash":"f51e4f5cbf236f25e667ed61a6b5d79a","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":1616,"n_turns_in_conversation":1,"n_words":253,"source_row_offset":9282,"source_shard":"turns-00046.parquet","timestamp":"Wed, 06 Nov 2024 08:00:56 GMT","turn_id":"9535fc3a9c39d1a9c24bf76d","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 Game Engineer | 5 year(s) | Senior\n\u25ab\ufe0f Game7 | Gaming\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: algorithms, performance_marketing, networks, data_science/data_engineering\nTags: #red #it #remote #game_dev\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 Game Engineer\n\ud83c\udfe2 Game7\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 Salary not mentioned\n\ud83d\udcde Contact details and full description not provided\n\nMain task: Develop algorithms for performance marketing, networks, data science/data engineering in the gaming industry.\n  \nAssistant:"},{"assistant_initiates":false,"asst_text":"True","behavior":"degenerate_repetition","conversation_hash":"918c3737e5b0d29fcccf410fe3012ed3","conversation_redacted":false,"conversation_toxic":false,"country":"Ecuador","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":1677,"n_turns_in_conversation":1,"n_words":265,"source_row_offset":9283,"source_shard":"turns-00046.parquet","timestamp":"Wed, 06 Nov 2024 08:00:56 GMT","turn_id":"1c0940c202e9bf13fe2b6069","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\udcbc SQL Developer \ud83d\udce1\n\ud83c\udfe2 Rashensoft\n\ud83d\udccd \u0443\u0434\u0430\u043b\u0435\u043d\u043a\u0430\n\ud83d\udd39 \u0414\u043e\u043b\u0436\u043d\u044b \u0437\u043d\u0430\u0442\u044c: Gradle, Java, Maven, MySQL, Oracle, Spring, Microservices, SQL Optimization, Relational Databases, REST API\n\ud83d\udcb0 \u041e\u0442 80k \u0434\u043e 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 \u043c\u043e\u0436\u043d\u043e \u043d\u0430\u0439\u0442\u0438 \u0432 \u0441\u0441\u044b\u043b\u043a\u0435 user \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u0438\u043b [--](#green #it #remote #java)\n  \nAssistant:"},{"assistant_initiates":false,"asst_text":"False","behavior":"degenerate_repetition","conversation_hash":"c394ac67b70e74210378b69ae97b8e23","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":1603,"n_turns_in_conversation":1,"n_words":252,"source_row_offset":9284,"source_shard":"turns-00046.parquet","timestamp":"Wed, 06 Nov 2024 08:00:57 GMT","turn_id":"04b70f6b9c35f41509525831","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 Product Manager | 3 year(s) | Senior\n\u25ab\ufe0f Enode | Energy\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: product_management, analytics\nTags: #red #other #remote #it_product_mgmt\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 Product Manager\n\n\ud83c\udfe2 Enode | Energy\n\n\ud83d\udccdStdString \ud83d\udce1\n\n\ud83d\udd39Responsibilities include managing product development, analyzing market trends, and ensuring product success.\n\n\ud83d\udcb0 Salary - Not mentioned\n\n\ud83d\udcdeContact information - Not mentioned\n\nNote: The language used in the text is Russian.\n  \nAssistant:"},{"assistant_initiates":false,"asst_text":"\ud83d\udcbc Senior Software Engineer  \n\ud83c\udfe2 SYBO  \n\ud83d\udccd Denmark | Copenhagen, Barcelona  \n\ud83d\udd39 \u0420\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0430 \u0438 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0430 \u0438\u0433\u0440\u043e\u0432\u043e\u0439 \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u044b \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c csharp, dotnet, unity, \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0437\u0430\u0446\u0438\u044f \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0432, \u0430\u043d\u0430\u043b\u0438\u0437 \u0434\u0430\u043d\u043d\u044b\u0445, \u043d\u0430\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u0441\u043a\u0440\u0438\u043f\u0442\u043e\u0432  \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 \u0434\u043e\u0441\u0442\u0443\u043f\u043d\u044b \u043f\u043e \u0437\u0430\u043f\u0440\u043e\u0441\u0443.","behavior":"degenerate_repetition","conversation_hash":"be42e4dbcd11b8eaf3174d4c6bc88196","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":1414,"n_turns_in_conversation":1,"n_words":224,"source_row_offset":9285,"source_shard":"turns-00046.parquet","timestamp":"Wed, 06 Nov 2024 08:00:57 GMT","turn_id":"8e0921b4dbe27f0a8096a34a","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 Software Engineer | 2 year(s) | Senior\n\u25ab\ufe0f SYBO | Gaming\n\u25ab\ufe0f Denmark | Copenhagen, Barcelona\n\n\u041e\u0444\u0438\u0441 \ud83c\udfe2 | \u0414\u043e\u0441\u0442\u0443\u043f\u043d\u0430 \u0440\u0435\u043b\u043e\u043a\u0430\u0446\u0438\u044f \u2708\ufe0f\n\u0422\u0440\u0435\u0431\u0443\u0435\u043c\u044b\u0435 \u044f\u0437\u044b\u043a\u0438: \ud83c\uddec\ud83c\udde7\n\nSkills: csharp, dotnet, unity, automation, analytics, scripting\nTags: #red #it #relocation #game_dev\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":"85c7ba41aeed76102682486ba5d4700a","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":1621,"n_turns_in_conversation":1,"n_words":258,"source_row_offset":9286,"source_shard":"turns-00046.parquet","timestamp":"Wed, 06 Nov 2024 08:01:01 GMT","turn_id":"298ba9b8ec38f6c65575fc79","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 Software Engineer | 2 year(s) | Senior\n\u25ab\ufe0f SYBO | Gaming\n\u25ab\ufe0f Denmark | Copenhagen, Barcelona\n\n\u041e\u0444\u0438\u0441 \ud83c\udfe2 | \u0414\u043e\u0441\u0442\u0443\u043f\u043d\u0430 \u0440\u0435\u043b\u043e\u043a\u0430\u0446\u0438\u044f \u2708\ufe0f\n\u0422\u0440\u0435\u0431\u0443\u0435\u043c\u044b\u0435 \u044f\u0437\u044b\u043a\u0438: \ud83c\uddec\ud83c\udde7\n\nSkills: csharp, dotnet, unity, automation, analytics, scripting\nTags: #red #it #relocation #game_dev\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\udd75\ufe0f\u200d\u2642\ufe0f Senior Software Engineer  \n\ud83c\udfe2 SYBO  \n\ud83d\udccd Denmark  \n\ud83d\udd27 Main tasks include working with C#, .NET, Unity, and automation in game development.  \n\ud83d\udcb0 Salary details not provided.  \n\ud83d\udcde Contact for full description.  \n  \nAssistant:"},{"assistant_initiates":false,"asst_text":"False","behavior":"degenerate_repetition","conversation_hash":"85c7ba41aeed76102682486ba5d4700a","conversation_redacted":false,"conversation_toxic":false,"country":"United Kingdom","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":1621,"n_turns_in_conversation":1,"n_words":258,"source_row_offset":9287,"source_shard":"turns-00046.parquet","timestamp":"Wed, 06 Nov 2024 08:01:04 GMT","turn_id":"298ba9b8ec38f6c65575fc79","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 Software Engineer | 2 year(s) | Senior\n\u25ab\ufe0f SYBO | Gaming\n\u25ab\ufe0f Denmark | Copenhagen, Barcelona\n\n\u041e\u0444\u0438\u0441 \ud83c\udfe2 | \u0414\u043e\u0441\u0442\u0443\u043f\u043d\u0430 \u0440\u0435\u043b\u043e\u043a\u0430\u0446\u0438\u044f \u2708\ufe0f\n\u0422\u0440\u0435\u0431\u0443\u0435\u043c\u044b\u0435 \u044f\u0437\u044b\u043a\u0438: \ud83c\uddec\ud83c\udde7\n\nSkills: csharp, dotnet, unity, automation, analytics, scripting\nTags: #red #it #relocation #game_dev\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\udd75\ufe0f\u200d\u2642\ufe0f Senior Software Engineer  \n\ud83c\udfe2 SYBO  \n\ud83d\udccd Denmark  \n\ud83d\udd27 Main tasks include working with C#, .NET, Unity, and automation in game development.  \n\ud83d\udcb0 Salary details not provided.  \n\ud83d\udcde Contact for full description.  \n  \nAssistant:"},{"assistant_initiates":false,"asst_text":"\ud83d\udcbc \u041c\u0435\u043d\u0435\u0434\u0436\u0435\u0440 \u043f\u043e \u0440\u0430\u0431\u043e\u0442\u0435 \u0441 \u043a\u043b\u0438\u0435\u043d\u0442\u0430\u043c\u0438  \n\ud83c\udfe2 \ud83d\ude00\ud83d\ude03\ud83d\ude04  \n\ud83d\udccd \u0423\u0434\u0430\u043b\u0435\u043d\u043d\u043e  \n\ud83d\udd39 \u041a\u043e\u043d\u0441\u0443\u043b\u044c\u0442\u0430\u0446\u0438\u044f \u043a\u043b\u0438\u0435\u043d\u0442\u043e\u0432 \u043e\u0431 \u0438\u043d\u0432\u0435\u0441\u0442\u0438\u0446\u0438\u044f\u0445, \u043f\u0440\u043e\u0432\u0435\u0434\u0435\u043d\u0438\u0435 Zoom-\u0432\u0441\u0442\u0440\u0435\u0447, \u043f\u0440\u0435\u0437\u0435\u043d\u0442\u0430\u0446\u0438\u044f \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0438 \u0438 \u0437\u0430\u043a\u043b\u044e\u0447\u0435\u043d\u0438\u0435 \u0441\u0434\u0435\u043b\u043e\u043a  \n\ud83d\udcb0 700 \u2013 2500 USD \u043d\u0430 \u0440\u0443\u043a\u0438  \n\ud83d\udcde +77023122992 (\u043f\u0438\u0441\u0430\u0442\u044c \u0432 \u0440\u0430\u0431\u043e\u0447\u0435\u0435 \u0432\u0440\u0435\u043c\u044f \u0441 10-19 \u043f\u043e \u041c\u0421\u041a), zhazira.kenzhegaliyeva@gmail.com  ","behavior":"degenerate_repetition","conversation_hash":"8dc70c442c29540e0f0c1a6c6e27af0f","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":2153,"n_turns_in_conversation":1,"n_words":329,"source_row_offset":9288,"source_shard":"turns-00046.parquet","timestamp":"Wed, 06 Nov 2024 08:01:05 GMT","turn_id":"608ec0f0003efe26253a82f6","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: #\u041c\u0435\u043d\u0435\u0434\u0436\u0435\u0440_\u043f\u043e_\u0440\u0430\u0431\u043e\u0442\u0435_\u0441_\u043a\u043b\u0438\u0435\u043d\u0442\u0430\u043c\u0438\n700 \u2013 2500 USD \u043d\u0430 \u0440\u0443\u043a\u0438\n\n\u041e\u0431\u044f\u0437\u0430\u043d\u043d\u043e\u0441\u0442\u0438:\n\u2022 \u041a\u043e\u043d\u0441\u0443\u043b\u044c\u0442\u0430\u0446\u0438\u044f \u043a\u043b\u0438\u0435\u043d\u0442\u043e\u0432, \u043e\u0431\u0443\u0447\u0430\u044e\u0449\u0438\u0445\u0441\u044f \u043d\u0430 \u043e\u043d\u043b\u0430\u0439\u043d \u043a\u0443\u0440\u0441\u0435 \u043f\u043e \u0418\u043d\u0432\u0435\u0441\u0442\u0438\u0446\u0438\u044f\u043c (\u0444\u043e\u043d\u0434\u043e\u0432\u044b\u0439 \u0440\u044b\u043d\u043e\u043a, \u0432\u0430\u043b\u044e\u0442\u043d\u044b\u0439);\n\u2022 \u041e\u0442\u0432\u0435\u0442\u044b \u043d\u0430 \u0432\u043e\u043f\u0440\u043e\u0441\u044b, \u0440\u0430\u0437\u044a\u044f\u0441\u043d\u0435\u043d\u0438\u0435 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438 \u043e\u0442\u043d\u043e\u0441\u0438\u0442\u0435\u043b\u044c\u043d\u043e \u043f\u043e\u043a\u0443\u043f\u043e\u043a \u0442\u0435\u0445 \u0438\u043b\u0438 \u0438\u043d\u044b\u0445 \u0446\u0435\u043d\u043d\u044b\u0445 \u0431\u0443\u043c\u0430\u0433, \u0432\u0430\u043b\u044e\u0442;\n\u2022 \u041a\u043e\u043d\u0441\u0443\u043b\u044c\u0442\u0430\u0446\u0438\u043e\u043d\u043d\u0430\u044f \u043f\u043e\u043c\u043e\u0449\u044c \u0432 \u0444\u043e\u0440\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0438 \u043a\u043b\u0438\u0435\u043d\u0442\u0441\u043a\u043e\u0433\u043e \u043f\u043e\u0440\u0442\u0444\u0435\u043b\u044f.\n\u2022 \u041f\u0440\u043e\u0432\u0435\u0434\u0435\u043d\u0438\u0435 \u0412\u0418\u0414\u0415\u041e Zoom-\u0432\u0441\u0442\u0440\u0435\u0447, \u043f\u0440\u0435\u0437\u0435\u043d\u0442\u0430\u0446\u0438\u044f \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0438 \u0438 \u0437\u0430\u043a\u043b\u044e\u0447\u0435\u043d\u0438\u0435 \u0441\u0434\u0435\u043b\u043e\u043a;\n\n\u0422\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f:\n\u2022 \u0413\u0440\u0430\u043c\u043e\u0442\u043d\u0430\u044f \u0440\u0435\u0447\u044c \u0438 \u0443\u043c\u0435\u043d\u0438\u0435 \u0447\u0435\u0442\u043a\u043e \u0434\u043e\u043d\u043e\u0441\u0438\u0442\u044c \u0441\u0432\u043e\u0438 \u043c\u044b\u0441\u043b\u0438;\n\u2022 \u0423\u0432\u0435\u0440\u0435\u043d\u043d\u043e\u0441\u0442\u044c \u0432 \u0441\u0435\u0431\u0435, \u0442\u0432\u0435\u0440\u0434\u043e\u0441\u0442\u044c \u043d\u0430\u043c\u0435\u0440\u0435\u043d\u0438\u0439;\n\u2022 \u041d\u0430\u043b\u0438\u0447\u0438\u0435 \u0441\u043e\u0431\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0433\u043e \u041f\u041a \u0441 \u043a\u0430\u043c\u0435\u0440\u043e\u0439, \u0433\u0430\u0440\u043d\u0438\u0442\u0443\u0440\u044b, \u0438 \u043f\u043e\u0441\u0442\u043e\u044f\u043d\u043d\u044b\u0439 \u0434\u043e\u0441\u0442\u0443\u043f \u043a \u0438\u043d\u0442\u0435\u0440\u043d\u0435\u0442\u0443;\n\u2022 \u0417\u043d\u0430\u043d\u0438\u0435 \u0440\u0430\u0437\u0433\u043e\u0432\u043e\u0440\u043d\u043e\u0433\u043e \u0430\u043d\u0433\u043b\u0438\u0439\u0441\u043a\u043e\u0433\u043e \u043e\u0442 B2.\n\n\u041c\u044b \u043f\u0440\u0435\u0434\u043b\u0430\u0433\u0430\u0435\u043c:\n\u2022 \u0420\u0430\u0431\u043e\u0442\u0443 \u0432 \u0443\u0434\u0430\u043b\u0435\u043d\u043d\u043e\u043c \u0444\u043e\u0440\u043c\u0430\u0442\u0435;\n\u2022 \u0413\u0440\u0430\u0444\u0438\u043a \u0440\u0430\u0431\u043e\u0442\u044b 5/2 \u0441 10:00 \u0434\u043e 19:00 \u043f\u043e \u043c\u043e\u0441\u043a\u043e\u0432\u0441\u043a\u043e\u043c\u0443 \u0432\u0440\u0435\u043c\u0435\u043d\u0438;\n\u2022 \u041a\u043e\u043d\u043a\u0443\u0440\u0435\u043d\u0442\u043d\u0443\u044e \u0437\u0430\u0440\u0430\u0431\u043e\u0442\u043d\u0443\u044e \u043f\u043b\u0430\u0442\u0443 \u043e\u043a\u043b\u0430\u0434 \u043e\u0442 400$ \u0434\u043e 700$ (\u043f\u043e \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0430\u043c \u0432\u0442\u043e\u0440\u043e\u0433\u043e \u044d\u0442\u0430\u043f\u0430 \u0441 \u0420\u041e\u041f\u043e\u043c + % \u043e\u0442 1 \u0434\u043e 5);\n\u2022 \u041e\u043f\u043b\u0430\u0447\u0438\u0432\u0430\u0435\u043c\u043e\u0435 \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u0435;\n\u2022 \u041a\u0430\u0440\u044c\u0435\u0440\u043d\u044b\u0439 \u0440\u043e\u0441\u0442 \u0434\u043e \u0420\u041e\u041f\u0430.\n\n\u041a\u043e\u043d\u0442\u0430\u043a\u0442\u044b:\n+77023122992 (\u041f\u0418\u0421\u0410\u0422\u042c \u0412 \u0420\u0410\u0411\u041e\u0427\u0415\u0415 \u0412\u0420\u0415\u041c\u042f \u0421 10-19 \u041f\u041e \u041c\u0421\u041a)\nzhazira.kenzhegaliyeva@gmail.com\n\n\ud83d\ude00\ud83d\ude03\ud83d\ude04 - 25 \u0432\u0430\u043a\u0430\u043d\u0441\u0438\u0439 \u043f\u043e \u0443\u0434\u0430\u043b\u0435\u043d\u043a\u0435 \u0435\u0436\u0435\u0434\u043d\u0435\u0432\u043d\u043e\nAssistant:"},{"assistant_initiates":false,"asst_text":"True","behavior":"degenerate_repetition","conversation_hash":"f36f987cbbaa4c88d15a4737948065c5","conversation_redacted":false,"conversation_toxic":false,"country":"Japan","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":1659,"n_turns_in_conversation":1,"n_words":267,"source_row_offset":9289,"source_shard":"turns-00046.parquet","timestamp":"Wed, 06 Nov 2024 08:01:08 GMT","turn_id":"782a27a3e44e489824e4d4d9","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 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\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 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 \u0420\u043e\u0441\u0441\u0438\u044f | \u041c\u043e\u0441\u043a\u0432\u0430\n\ud83d\udd39 \u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0435\u043d\u043d\u043e \u0440\u0430\u0431\u043e\u0442\u0430\u0442\u044c \u0441 \u0441\u043e\u0444\u0442\u043e\u043c, \u0442\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u0430\u044f \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u044f, qa\n\ud83d\udcb0 300k - 350k 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\nNote: The provided text was given in Russian language, so the response is also in Russian.\n  \nAssistant:"},{"assistant_initiates":false,"asst_text":"Winter Jigsaw \u2014 \u044d\u0442\u043e \u0443\u0432\u043b\u0435\u043a\u0430\u0442\u0435\u043b\u044c\u043d\u0430\u044f \u0438\u0433\u0440\u0430 \u0432 \u0436\u0430\u043d\u0440\u0435 \u043f\u0430\u0437\u043b\u043e\u0432, \u0438\u0434\u0435\u0430\u043b\u044c\u043d\u043e \u043f\u043e\u0434\u0445\u043e\u0434\u044f\u0449\u0430\u044f \u0434\u043b\u044f \u0437\u0438\u043c\u043d\u0435\u0433\u043e \u0432\u0440\u0435\u043c\u0435\u043d\u0438 \u0433\u043e\u0434\u0430. \u041e\u043d\u0430 \u043f\u0440\u0435\u0434\u043b\u0430\u0433\u0430\u0435\u0442 \u0437\u0430\u0445\u0432\u0430\u0442\u044b\u0432\u0430\u044e\u0449\u0435\u0435 \u0441\u0431\u043e\u0440\u0438\u0449\u0435 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439 \u0441 \u0437\u0438\u043c\u043d\u0438\u043c\u0438 \u0430\u043a\u0442\u0438\u0432\u043d\u043e\u0441\u0442\u044f\u043c\u0438 \u0438 \u043a\u0443\u043b\u044c\u0442\u043e\u0432\u044b\u043c\u0438 \u043f\u0435\u0440\u0441\u043e\u043d\u0430\u0436\u0430\u043c\u0438 \u043f\u0440\u0430\u0437\u0434\u043d\u0438\u0447\u043d\u043e\u0433\u043e \u0441\u0435\u0437\u043e\u043d\u0430. \n\n\u0418\u0433\u0440\u0430 \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0439 \u043e\u043f\u044b\u0442 \u0431\u0435\u0441\u043f\u043b\u0430\u0442\u043d\u043e\u0433\u043e \u0441\u043e\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u043f\u0430\u0437\u043b\u043e\u0432, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043e\u0434\u043d\u043e\u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e \u0440\u0430\u0441\u0441\u043b\u0430\u0431\u043b\u044f\u0435\u0442, \u0432\u043e\u0437\u043d\u0430\u0433\u0440\u0430\u0436\u0434\u0430\u0435\u0442 \u0438 \u043f\u043e\u043c\u043e\u0433\u0430\u0435\u0442 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u0442\u044c \u0443\u043c \u0432 \u0442\u043e\u043d\u0443\u0441\u0435. \u0412 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u0435 \u0438\u0433\u0440\u044b \u0432\u0430\u043c \u043d\u0435\u043e\u0431\u0445\u043e\u0434\u0438\u043c\u043e \u043d\u0430\u0447\u0430\u0442\u044c \u0441 \u043f\u0435\u0440\u0432\u043e\u0439 \u043a\u0430\u0440\u0442\u0438\u043d\u044b, \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0430\u044e\u0449\u0435\u0439 \u043c\u0438\u043b\u043e\u0433\u043e \u0441\u043d\u0435\u0433\u043e\u0432\u0438\u043a\u0430 \u0438 \u0438\u0433\u0440\u0438\u0432\u043e\u0433\u043e \u0420\u0443\u0434\u043e\u043b\u044c\u0444\u0430, \u0438 \u0437\u0430\u0440\u0430\u0431\u043e\u0442\u0430\u0442\u044c \u0441\u0432\u044b\u0448\u0435 $1,000, \u0447\u0442\u043e\u0431\u044b \u043e\u0442\u043a\u0440\u044b\u0442\u044c \u0434\u043e\u0441\u0442\u0443\u043f \u043a \u043f\u043e\u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f\u043c. \u0412\u0441\u0435\u0433\u043e \u0432 \u0438\u0433\u0440\u0435 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u043e 10 \u043a\u0430\u0440\u0442\u0438\u043d, \u043a\u0430\u0436\u0434\u0430\u044f \u0438\u0437 \u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u0441\u043e\u043f\u0440\u043e\u0432\u043e\u0436\u0434\u0430\u0435\u0442\u0441\u044f \u043d\u0430 \u0432\u044b\u0431\u043e\u0440 \u0442\u0440\u0435\u043c\u044f \u0443\u0440\u043e\u0432\u043d\u044f\u043c\u0438 \u0441\u043b\u043e\u0436\u043d\u043e\u0441\u0442\u0438: \u043e\u0442 \u0441\u0430\u043c\u043e\u0433\u043e \u043f\u0440\u043e\u0441\u0442\u043e\u0433\u043e \u0434\u043e \u0441\u0430\u043c\u043e\u0433\u043e \u0441\u043b\u043e\u0436\u043d\u043e\u0433\u043e, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043f\u0440\u0438\u043d\u043e\u0441\u0438\u0442 \u043d\u0430\u0438\u0431\u043e\u043b\u044c\u0448\u0435\u0435 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u0434\u0435\u043d\u0435\u0433.\n\n\u042d\u0442\u0430 \u0438\u0433\u0440\u0430 \u043e\u0441\u043e\u0431\u0435\u043d\u043d\u043e \u043f\u0440\u0438\u0432\u043b\u0435\u043a\u0430\u0435\u0442 \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435 \u0432 \u0445\u043e\u043b\u043e\u0434\u043d\u044b\u0435 \u0437\u0438\u043c\u043d\u0438\u0435 \u0434\u043d\u0438, \u043a\u0430\u043a \u043d\u0430\u0438\u0431\u043e\u043b\u0435\u0435 \u043f\u043e\u0434\u0445\u043e\u0434\u044f\u0449\u0435\u0435 \u0432\u0440\u0435\u043c\u044f \u0434\u043b\u044f \u043d\u0430\u0441\u0442\u043e\u043b\u044c\u043d\u044b\u0445 \u0438\u0433\u0440. Winter Jigsaw \u043d\u0435 \u0442\u043e\u043b\u044c\u043a\u043e \u0431\u0440\u043e\u0441\u0430\u0435\u0442 \u0432\u044b\u0437\u043e\u0432 \u0432\u0430\u0448\u0435\u043c\u0443 \u0443\u043c\u0443, \u043d\u043e \u0438 \u0434\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 \u0443\u0434\u043e\u0432\u043e\u043b\u044c\u0441\u0442\u0432\u0438\u0435, \u043f\u0440\u0435\u0434\u043b\u0430\u0433\u0430\u044f \u0440\u0430\u0437\u0432\u043b\u0435\u0447\u0435\u043d\u0438\u0435 \u043d\u0430 \u0441\u0430\u0439\u0442\u0435 dressupwho.com. \u041d\u0435\u0437\u0430\u0432\u0438\u0441\u0438\u043c\u043e \u043e\u0442 \u0432\u044b\u0431\u0440\u0430\u043d\u043d\u043e\u0433\u043e \u0443\u0440\u043e\u0432\u043d\u044f \u0441\u043b\u043e\u0436\u043d\u043e\u0441\u0442\u0438, \u0438\u0433\u0440\u0430 \u043e\u0431\u0435\u0449\u0430\u0435\u0442 \u0432\u0430\u043c \u043e\u0442\u043b\u0438\u0447\u043d\u043e \u043f\u0440\u043e\u0432\u0435\u0434\u0435\u043d\u043d\u043e\u0435 \u0432\u0440\u0435\u043c\u044f \u0432 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u0435 \u0440\u0435\u0448\u0435\u043d\u0438\u044f \u044d\u0442\u0438\u0445 \u043f\u0440\u0430\u0437\u0434\u043d\u0438\u0447\u043d\u044b\u0445 \u0433\u043e\u043b\u043e\u0432\u043e\u043b\u043e\u043c\u043e\u043a.\n\n\u0416\u0430\u043d\u0440\u044b \u0438\u0433\u0440\u044b \u0432\u043a\u043b\u044e\u0447\u0430\u044e\u0442 \u0432 \u0441\u0435\u0431\u044f \u043f\u0430\u0437\u043b\u044b, \u0441\u0435\u0437\u043e\u043d\u043d\u044b\u0435 \u0440\u0430\u0437\u0432\u043b\u0435\u0447\u0435\u043d\u0438\u044f \u0438 \u0442\u0435\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u0437\u0430\u0434\u0430\u0447\u0438, \u0441\u0432\u044f\u0437\u0430\u043d\u043d\u044b\u0435 \u0441 \u0437\u0438\u043c\u043d\u0438\u043c\u0438 \u0440\u0430\u0434\u043e\u0441\u0442\u044f\u043c\u0438, \u0447\u0442\u043e \u0434\u0435\u043b\u0430\u0435\u0442 Winter Jigsaw \u0438\u0434\u0435\u0430\u043b\u044c\u043d\u044b\u043c \u0432\u044b\u0431\u043e\u0440\u043e\u043c \u0434\u043b\u044f \u0432\u0441\u0435\u0445 \u043b\u044e\u0431\u0438\u0442\u0435\u043b\u0435\u0439 \u0433\u043e\u043b\u043e\u0432\u043e\u043b\u043e\u043c\u043e\u043a \u0432 \u044d\u0442\u043e \u0432\u043e\u043b\u0448\u0435\u0431\u043d\u043e\u0435 \u0432\u0440\u0435\u043c\u044f \u0433\u043e\u0434\u0430.","behavior":"degenerate_repetition","conversation_hash":"10af3047fecb86e60d4550aedfed9dd0","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":3183,"n_turns_in_conversation":1,"n_words":477,"source_row_offset":9290,"source_shard":"turns-00046.parquet","timestamp":"Wed, 06 Nov 2024 08:01:08 GMT","turn_id":"cbe3a1d78fdb266b25229fc3","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\":[\"winter jigsaw\"],\"description\":[\"christmas jigsaw that gives you the perfect free jigsaw puzzle experience. solving puzzles is relaxing, rewarding, and keeps your brain sharp. you must solve the first picture and win over $1,000 in order to be able to purchase one of the following pictures. you have three modes for each picture from which the hardest mode brings more money. you have a total of 10 pictures.\",\"the chilly days of winter are definitely the best ones for board games and today we at dressupwho want to challenge your brain with a challenging puzzle game. it\u2019s called winter jigsaw and it features an impressive selection of images with winter activities and icon characters of the holiday season and you get to solve all one by one. you have to solve the first given images which is with a cute snowman and playful rudolf, win as many points as possible and unlock the second picture. as always, you have three difficulty levels for each picture so feel free to pick the level you\u2019re more comfortable with. have a great time playing the winter jigsaw online at dressupwho.com!\",\"christmas jigsaw that gives you the perfect free jigsaw puzzle experience solving puzzles is relaxing rewarding and keeps your brain sharp you must solve the first picture and win over in order to be able to purchase one of the following pictures you have three modes for each picture from which the hardest mode brings more money you have a total of pictures\"],\"genre\":[\"puzzle\",\"seasonal\",\"winter jigsaw\"]}```"}],"shard":{"index":46,"name":"turns-00046.parquet","rows":42012}}