{"behavior":"degenerate_repetition","label_filter":null,"limit":10,"next_offset":7959,"offset":7949,"previous_offset":null,"rows":[{"assistant_initiates":false,"asst_text":"False","behavior":"degenerate_repetition","conversation_hash":"1c17c3d6e48f559dd9fca149d6447626","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":1838,"n_turns_in_conversation":1,"n_words":287,"source_row_offset":7949,"source_shard":"turns-00045.parquet","timestamp":"Tue, 05 Nov 2024 22:50:36 GMT","turn_id":"386b2fc248bd08669019f148","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\udfea Principal Engineer | 8 year(s) | Senior\n\u25ab\ufe0f Ecosia | Technology\n\u25ab\ufe0f 85k - 110k EUR\n\u25ab\ufe0f Berlin\n\n\u0423\u0434\u0430\u043b\u0435\u043d\u043a\u0430 \ud83d\udce1 | \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: typescript, golang, iam, python, javascript\nTags: #purple #it #remote #relocation #sre\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 Principal Engineer  \n\ud83c\udfe2 Ecosia  \n\ud83d\udccd Berlin \ud83c\udde9\ud83c\uddea  \n\ud83d\udd39 Responsibilities include leading cross-functional teams, developing critical features, and driving continuous improvement initiatives using TypeScript, Golang, IAM, Python, and JavaScript.  \n\ud83d\udcb0 Salary: 85k - 110k EUR  \n\ud83d\udcde Contact details and full job description available at the provided link.  \n\nNote: The position is remote and relocation is available. Required languages: English \ud83c\uddec\ud83c\udde7.\n  \nAssistant:"},{"assistant_initiates":false,"asst_text":"False","behavior":"degenerate_repetition","conversation_hash":"8b94d06c5fcec6777b3b850db6f464ee","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":1561,"n_turns_in_conversation":1,"n_words":254,"source_row_offset":7950,"source_shard":"turns-00045.parquet","timestamp":"Tue, 05 Nov 2024 22:50:36 GMT","turn_id":"537dfaed1c4da10981addad7","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 Service Developer | Junior\n\u25ab\ufe0f \u043e\u0442 50k 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: html, css, javascript, json, xml, groovy, excel, xsd\nTags: #green #it #non_office_job\n\n\ud83d\udc49 \u041a\u043e\u043d\u0442\u0430\u043a\u0442\u044b \u0438 \u043f\u043e\u043b\u043d\u043e\u0435 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435\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\udda5\ufe0f Service Developer | Junior  \n\ud83c\udfe2 \u043e\u0442 50k RUB  \n\ud83d\udccd Russia \u041e\u0444\u0438\u0441  \n\ud83d\udd27 \u041e\u0441\u043d\u043e\u0432\u043d\u044b\u0435 \u0437\u0430\u0434\u0430\u0447\u0438: \u0420\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0430 \u0438 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0430 \u0441\u0435\u0440\u0432\u0438\u0441\u043e\u0432, \u0437\u043d\u0430\u043d\u0438\u0435 \u044f\u0437\u044b\u043a\u043e\u0432 html, css, javascript, json, xml, groovy, excel, xsd  \n\ud83d\udcb0 \u043e\u0442 50k RUB  \n\ud83d\udcde \u041a\u043e\u043d\u0442\u0430\u043a\u0442\u044b \u0438 \u043f\u043e\u043b\u043d\u043e\u0435 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435\n  \nAssistant:"},{"assistant_initiates":false,"asst_text":"True","behavior":"degenerate_repetition","conversation_hash":"3a05286ea5f7a9ee4543c50528bac1e9","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":1573,"n_turns_in_conversation":1,"n_words":256,"source_row_offset":7951,"source_shard":"turns-00045.parquet","timestamp":"Tue, 05 Nov 2024 22:50:37 GMT","turn_id":"4ba73a59dbc111e8142bc014","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\udfe8 System Analyst | 2 year(s) | Middle\n\u25ab\ufe0f \u0410\u041e \"Beelab\" | Fintech\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: kafka, soap, rabbitmq, bpmn, graphql, uml, restapi, sql\nTags: #yellow #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 \u0410\u041e \"Beelab\"  \n\ud83d\udccd Russia  \n\ud83d\udd39 Kafka, SOAP, RabbitMQ, BPMN, GraphQL, UML, REST API, SQL  \n\ud83d\udcb0 155k - 180k RUB  \n\ud83d\udcde Contact details and full description available [here](your-link.com)\n  \nAssistant:"},{"assistant_initiates":false,"asst_text":"\ud83d\udcbc Business Analyst  \n\ud83c\udfe2 null  \n\ud83d\udccd \u0420\u043e\u0441\u0441\u0438\u044f, \u041f\u0435\u0440\u043c\u044c  \n\ud83d\udd39 \u0417\u0430\u0434\u0430\u0447\u0438 \u0432\u043a\u043b\u044e\u0447\u0430\u044e\u0442 \u0432 \u0441\u0435\u0431\u044f \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u0435 \u043e\u0441\u043d\u043e\u0432 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0438 \u043c\u0435\u0442\u043e\u0434\u043e\u043b\u043e\u0433\u0438\u0439 scrum \u0438 agile.  \n\ud83d\udcb0 155k - 180k RUB  \n\ud83d\udcde null  ","behavior":"degenerate_repetition","conversation_hash":"ad15af3db48689f5e6e6a265c18fd130","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":1219,"n_turns_in_conversation":1,"n_words":204,"source_row_offset":7952,"source_shard":"turns-00045.parquet","timestamp":"Tue, 05 Nov 2024 22:50:38 GMT","turn_id":"61f5b21d805b0996e7cc85f1","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\udfe8 Business Analyst | Middle\n\u25ab\ufe0f null | null\n\u25ab\ufe0f 155k - 180k RUB\n\u25ab\ufe0f Russia | P\u0435\u0440\u043c\u044c\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: programming_basics, scrum, agile\nTags: #yellow #it #business_analyst\n\n\ud83d\udc49 \u041a\u043e\u043d\u0442\u0430\u043a\u0442\u044b \u0438 \u043f\u043e\u043b\u043d\u043e\u0435 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435\nAssistant:"},{"assistant_initiates":false,"asst_text":"\ud83d\udcbc Business Analyst  \n\ud83c\udfe2 null   \n\ud83d\udccd \u0420\u043e\u0441\u0441\u0438\u044f, \u041f\u0435\u0440\u043c\u044c  \n\ud83d\udd39 \u041e\u0441\u043d\u043e\u0432\u043d\u044b\u0435 \u0437\u0430\u0434\u0430\u0447\u0438: \u0418\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u043e\u0441\u043d\u043e\u0432 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f, \u0440\u0430\u0431\u043e\u0442\u0430 \u043f\u043e \u043c\u0435\u0442\u043e\u0434\u043e\u043b\u043e\u0433\u0438\u044f\u043c SCRUM \u0438 Agile.  \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: null  ","behavior":"degenerate_repetition","conversation_hash":"1db003947846ed9c09fd7f4acc045e20","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":1255,"n_turns_in_conversation":1,"n_words":207,"source_row_offset":7953,"source_shard":"turns-00045.parquet","timestamp":"Tue, 05 Nov 2024 22:50:39 GMT","turn_id":"51c44a22884c1e28dbcc36d7","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\udfe8 Business Analyst | Middle\n\u25ab\ufe0f null | null\n\u25ab\ufe0f 155k - 180k RUB\n\u25ab\ufe0f Russia | P\u0435\u0440\u043c\u044c\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: programming_basics, scrum, agile\nTags: #yellow #it #business_analyst\n\n\ud83d\udc49 \u041a\u043e\u043d\u0442\u0430\u043a\u0442\u044b \u0438 \u043f\u043e\u043b\u043d\u043e\u0435 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435\nAssistant:"},{"assistant_initiates":false,"asst_text":"\ud83d\udcbc Business Analyst  \n\ud83c\udfe2 null  \n\ud83d\udccd \u0420\u043e\u0441\u0441\u0438\u044f, \u041f\u0435\u0440\u043c\u044c  \n\ud83d\udd39 \u0420\u0430\u0431\u043e\u0442\u0430 \u0432 \u043e\u0444\u0438\u0441\u0435, \u0442\u0440\u0435\u0431\u0443\u0435\u0442\u0441\u044f \u0437\u043d\u0430\u043d\u0438\u0435 \u043e\u0441\u043d\u043e\u0432 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0438 \u043e\u043f\u044b\u0442 \u0440\u0430\u0431\u043e\u0442\u044b \u043f\u043e \u043c\u0435\u0442\u043e\u0434\u043e\u043b\u043e\u0433\u0438\u044f\u043c scrum \u0438 agile  \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","behavior":"degenerate_repetition","conversation_hash":"055adb18c62831c51278785065906cd3","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":1255,"n_turns_in_conversation":1,"n_words":210,"source_row_offset":7954,"source_shard":"turns-00045.parquet","timestamp":"Tue, 05 Nov 2024 22:50:39 GMT","turn_id":"96ff9f8ae7515316037e83d2","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\udfe8 Business Analyst | Middle\n\u25ab\ufe0f null | null\n\u25ab\ufe0f 155k - 180k RUB\n\u25ab\ufe0f Russia | P\u0435\u0440\u043c\u044c\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: programming_basics, scrum, agile\nTags: #yellow #it #business_analyst\n\n\ud83d\udc49 \u041a\u043e\u043d\u0442\u0430\u043a\u0442\u044b \u0438 \u043f\u043e\u043b\u043d\u043e\u0435 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435\nAssistant:"},{"assistant_initiates":false,"asst_text":"\ud83d\udcbc Data Engineer  \n\ud83c\udfe2 Office  \n\ud83d\udccd USA, Charlotte  \n\ud83d\udd39 Main tasks include working with AWS, managing SQL databases, and developing applications using Java and Python.  \n\ud83d\udcb0 100 - 100 USD  \n\ud83d\udcde Contacts and Full Description  ","behavior":"degenerate_repetition","conversation_hash":"9615d99562d8090d0e41a2b135f3a141","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":1314,"n_turns_in_conversation":1,"n_words":219,"source_row_offset":7955,"source_shard":"turns-00045.parquet","timestamp":"Tue, 05 Nov 2024 22:50:39 GMT","turn_id":"c74a540f0f61405d7adadabb","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\udfea Data Engineer | 5 year(s) | Senior\n\u25ab\ufe0f 100 - 100 USD\n\u25ab\ufe0f USA | Charlotte\n\nOffice \ud83c\udfe2\nRequired languages: \ud83c\uddec\ud83c\udde7\n\nSkills: aws, git, java, postgresql, python, s3, sql, terraform, eks, lambda, rds, iam\nTags: #purple #it #data_engineering\n\n\ud83d\udc49 Contacts and Full Description\nAssistant:"},{"assistant_initiates":false,"asst_text":"\ud83d\udcbc Application Integration Developer  \n\ud83c\udfe2 Extreme Networks  \n\ud83d\udccd Remote, USA  \n\ud83d\udd39 Developing and integrating IT applications, using skills in Java, NoSQL, Oracle, Python, SQL, Salesforce, Agile, and Scrum.  \n\ud83d\udcb0 Not specified  \n\ud83d\udcde Contact through company's official careers page or HR email.","behavior":"degenerate_repetition","conversation_hash":"9e61ccfb07b46c06585de1220168b4ac","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":1386,"n_turns_in_conversation":1,"n_words":221,"source_row_offset":7956,"source_shard":"turns-00045.parquet","timestamp":"Tue, 05 Nov 2024 22:50:39 GMT","turn_id":"e3466ff3bfafd39114433114","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 Application Integration Developer | 12 year(s) | Senior\n\u25ab\ufe0f Extreme Networks | IT\n\u25ab\ufe0f USA\n\nRemote \ud83d\udce1\nRequired languages: \ud83c\uddec\ud83c\udde7\n\nSkills: java, nosql, oracle, python, sql, salesforce, agile, scrum\nTags: #red #it #remote #it_project_mgmt\n\n\ud83d\udc49 Contacts and Full Description\nAssistant:"},{"assistant_initiates":false,"asst_text":"False","behavior":"degenerate_repetition","conversation_hash":"b5dc5f983c1c08887d95b66ddf0970cf","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":1601,"n_turns_in_conversation":1,"n_words":261,"source_row_offset":7957,"source_shard":"turns-00045.parquet","timestamp":"Tue, 05 Nov 2024 22:50:40 GMT","turn_id":"8dececd21416d53a56a07b2d","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\udfea Data Engineer | 5 year(s) | Senior\n\u25ab\ufe0f 100 - 100 USD\n\u25ab\ufe0f USA | Charlotte\n\nOffice \ud83c\udfe2\nRequired languages: \ud83c\uddec\ud83c\udde7\n\nSkills: aws, git, java, postgresql, python, s3, sql, terraform, eks, lambda, rds, iam\nTags: #purple #it #data_engineering\n\n\ud83d\udc49 Contacts and Full Description\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\udfea Data Engineer  \n\ud83c\udfe2 5 year(s)  \n\ud83d\udccd USA | Charlotte Office  \n\ud83d\udd39 Main tasks include working with AWS services, managing databases, and developing data pipelines.  \n\ud83d\udcb0 100 - 100 USD  \n\ud83d\udcde Contacts and Full Description  \n  \nAssistant:"},{"assistant_initiates":false,"asst_text":"\ud83d\udcbc Senior Project Manager  \n\ud83c\udfe2 Strategic Staffing Solutions  \n\ud83d\udccd Livonia, USA  \n\ud83d\udd39 Project management, including risk management, team management, and budgeting in the IT healthcare sector.  \n\ud83d\udcb0 Not specified  \n\ud83d\udcde Contact through the company's official website or job listing.  ","behavior":"degenerate_repetition","conversation_hash":"3a9f006685b7cb255341a47d0f37029b","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":1388,"n_turns_in_conversation":1,"n_words":217,"source_row_offset":7958,"source_shard":"turns-00045.parquet","timestamp":"Tue, 05 Nov 2024 22:50:41 GMT","turn_id":"4319a9d5e1c8d881700d88e1","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 Project Manager | 3 year(s) | Senior\n\u25ab\ufe0f Strategic Staffing Solutions | Healthcare\n\u25ab\ufe0f USA | Livonia\n\nOffice \ud83c\udfe2\nRequired languages: \ud83c\uddec\ud83c\udde7\n\nSkills: risk_management, team_management, budgeting, project_management\nTags: #red #it #it_project_mgmt\n\n\ud83d\udc49 Contacts and Full Description\nAssistant:"}],"shard":{"index":45,"name":"turns-00045.parquet","rows":37951}}