{"behavior":"degenerate_repetition","label_filter":null,"limit":10,"next_offset":31777,"offset":31767,"previous_offset":null,"rows":[{"assistant_initiates":false,"asst_text":"\u0418\u0437\u0432\u0438\u043d\u0438\u0442\u0435, \u043d\u043e \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u043d\u044b\u0439 \u0442\u0435\u043a\u0441\u0442 \u043d\u0435 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438 \u043e \u0432\u0430\u043a\u0430\u043d\u0441\u0438\u0438, \u0442\u0430\u043a\u043e\u0439 \u043a\u0430\u043a \u043d\u0430\u0437\u0432\u0430\u043d\u0438\u0435 \u0440\u0430\u0431\u043e\u0442\u044b, \u0440\u0430\u0431\u043e\u0442\u043e\u0434\u0430\u0442\u0435\u043b\u044c, \u043c\u0435\u0441\u0442\u043e\u043f\u043e\u043b\u043e\u0436\u0435\u043d\u0438\u0435, \u043e\u0441\u043d\u043e\u0432\u043d\u044b\u0435 \u0437\u0430\u0434\u0430\u0447\u0438, \u0437\u0430\u0440\u043f\u043b\u0430\u0442\u0430 \u0438\u043b\u0438 \u043a\u043e\u043d\u0442\u0430\u043a\u0442\u043d\u044b\u0435 \u0434\u0430\u043d\u043d\u044b\u0435. \u0415\u0441\u043b\u0438 \u0443 \u0432\u0430\u0441 \u0435\u0441\u0442\u044c \u0434\u0440\u0443\u0433\u043e\u0439 \u0442\u0435\u043a\u0441\u0442 \u0441 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0435\u0439 \u043e \u0432\u0430\u043a\u0430\u043d\u0441\u0438\u0438, \u043f\u043e\u0436\u0430\u043b\u0443\u0439\u0441\u0442\u0430, \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u044c\u0442\u0435 \u0435\u0433\u043e \u0434\u043b\u044f \u0430\u043d\u0430\u043b\u0438\u0437\u0430.","behavior":"degenerate_repetition","conversation_hash":"c2f2ba475a7ae0ae93d710c060e0e918","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":1526,"n_turns_in_conversation":1,"n_words":238,"source_row_offset":31767,"source_shard":"turns-00049.parquet","timestamp":"Sun, 10 Nov 2024 20:17:09 GMT","turn_id":"b991460ee1eda727eeec9ea7","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: \u042f \u0437\u043d\u0430\u044e, \u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0432\u0440\u0435\u043c\u0435\u043d\u0438 \u043c\u043e\u0436\u0435\u0442 \u0443\u0439\u0442\u0438 \u043d\u0430 \u043f\u043e\u0438\u0441\u043a \u043d\u0443\u0436\u043d\u043e\u0439 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438 \u0432 Telegram, \u043f\u043e\u044d\u0442\u043e\u043c\u0443 \u0440\u0435\u0433\u0443\u043b\u044f\u0440\u043d\u043e \u0434\u0435\u043b\u044e\u0441\u044c \u043f\u043e\u043b\u0435\u0437\u043d\u044b\u043c\u0438 \u0441\u0441\u044b\u043b\u043a\u0430\u043c\u0438. \n\n\u0421\u0435\u0433\u043e\u0434\u043d\u044f \u043f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u0438\u043b\u0438 \u0434\u043b\u044f \u0432\u0430\u0441 \u0446\u0435\u043b\u0443\u044e \u043f\u043e\u0434\u0431\u043e\u0440\u043a\u0443 \u043a\u0430\u043d\u0430\u043b\u043e\u0432 \u0432 \n\u0441\u0444\u0435\u0440\u0435  \u201c\u041a\u0430\u0440\u044c\u0435\u0440\u0430 \u0438 \u0424\u0440\u0438\u043b\u0430\u043d\u0441\u201d \ud83d\udd25\n\n\u0422\u0443\u0442 \u0432\u044b \u0442\u043e\u0447\u043d\u043e \u043d\u0430\u0439\u0434\u0435\u0442\u0435 \u043e\u0442\u0432\u0435\u0442\u044b \u043d\u0430 \u043c\u043d\u043e\u0433\u0438\u0435 \u0441\u0432\u043e\u0438 \u0432\u043e\u043f\u0440\u043e\u0441\u044b.  \u0410 \u0433\u043b\u0430\u0432\u043d\u043e\u0435 - \u0432\u0430\u043c \u043d\u0435 \u043f\u0440\u0438\u0434\u0435\u0442\u0441\u044f, \u0442\u0440\u0430\u0442\u0438\u0442\u044c \u043d\u0430 \u043f\u043e\u0438\u0441\u043a\u0438 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0447\u0430\u0441\u043e\u0432 \ud83d\ude0a \ud83d\udc47\n\n\u041f\u043e\u044d\u0442\u043e\u043c\u0443 \u043f\u0435\u0440\u0435\u0445\u043e\u0434\u0438\u0442\u0435, \u043f\u043e\u0434\u043f\u0438\u0441\u044b\u0432\u0430\u0439\u0442\u0435\u0441\u044c \u0438 \u043f\u043e\u043b\u044c\u0437\u0443\u0439\u0442\u0435\u0441\u044c \u043d\u0430 \u0437\u0434\u043e\u0440\u043e\u0432\u044c\u0435 \ud83d\udcc2\ud83d\ude09 \n\n\u0425\u043e\u0442\u0438\u0442\u0435 \u043f\u043e\u0434\u0431\u043e\u0440\u043a\u0443?\nAssistant:"},{"assistant_initiates":false,"asst_text":"False","behavior":"degenerate_repetition","conversation_hash":"8043820f574f16bdf74e9e38207d2218","conversation_redacted":false,"conversation_toxic":false,"country":"South Korea","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":907,"n_turns_in_conversation":1,"n_words":135,"source_row_offset":31768,"source_shard":"turns-00049.parquet","timestamp":"Sun, 10 Nov 2024 20:17:10 GMT","turn_id":"7ce2b2e2405373131fe05af9","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: \u042f \u0437\u043d\u0430\u044e, \u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0432\u0440\u0435\u043c\u0435\u043d\u0438 \u043c\u043e\u0436\u0435\u0442 \u0443\u0439\u0442\u0438 \u043d\u0430 \u043f\u043e\u0438\u0441\u043a \u043d\u0443\u0436\u043d\u043e\u0439 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438 \u0432 Telegram, \u043f\u043e\u044d\u0442\u043e\u043c\u0443 \u0440\u0435\u0433\u0443\u043b\u044f\u0440\u043d\u043e \u0434\u0435\u043b\u044e\u0441\u044c \u043f\u043e\u043b\u0435\u0437\u043d\u044b\u043c\u0438 \u0441\u0441\u044b\u043b\u043a\u0430\u043c\u0438. \n\n\u0421\u0435\u0433\u043e\u0434\u043d\u044f \u043f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u0438\u043b\u0438 \u0434\u043b\u044f \u0432\u0430\u0441 \u0446\u0435\u043b\u0443\u044e \u043f\u043e\u0434\u0431\u043e\u0440\u043a\u0443 \u043a\u0430\u043d\u0430\u043b\u043e\u0432 \u0432 \n\u0441\u0444\u0435\u0440\u0435  \u201c\u041a\u0430\u0440\u044c\u0435\u0440\u0430 \u0438 \u0424\u0440\u0438\u043b\u0430\u043d\u0441\u201d \ud83d\udd25\n\n\u0422\u0443\u0442 \u0432\u044b \u0442\u043e\u0447\u043d\u043e \u043d\u0430\u0439\u0434\u0435\u0442\u0435 \u043e\u0442\u0432\u0435\u0442\u044b \u043d\u0430 \u043c\u043d\u043e\u0433\u0438\u0435 \u0441\u0432\u043e\u0438 \u0432\u043e\u043f\u0440\u043e\u0441\u044b.  \u0410 \u0433\u043b\u0430\u0432\u043d\u043e\u0435 - \u0432\u0430\u043c \u043d\u0435 \u043f\u0440\u0438\u0434\u0435\u0442\u0441\u044f, \u0442\u0440\u0430\u0442\u0438\u0442\u044c \u043d\u0430 \u043f\u043e\u0438\u0441\u043a\u0438 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0447\u0430\u0441\u043e\u0432 \ud83d\ude0a \ud83d\udc47\n\n\u041f\u043e\u044d\u0442\u043e\u043c\u0443 \u043f\u0435\u0440\u0435\u0445\u043e\u0434\u0438\u0442\u0435, \u043f\u043e\u0434\u043f\u0438\u0441\u044b\u0432\u0430\u0439\u0442\u0435\u0441\u044c \u0438 \u043f\u043e\u043b\u044c\u0437\u0443\u0439\u0442\u0435\u0441\u044c \u043d\u0430 \u0437\u0434\u043e\u0440\u043e\u0432\u044c\u0435 \ud83d\udcc2\ud83d\ude09 \n\n\u0425\u043e\u0442\u0438\u0442\u0435 \u043f\u043e\u0434\u0431\u043e\u0440\u043a\u0443?\nAssistant:"},{"assistant_initiates":false,"asst_text":"False","behavior":"degenerate_repetition","conversation_hash":"8043820f574f16bdf74e9e38207d2218","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":907,"n_turns_in_conversation":1,"n_words":135,"source_row_offset":31769,"source_shard":"turns-00049.parquet","timestamp":"Sun, 10 Nov 2024 20:17:10 GMT","turn_id":"7ce2b2e2405373131fe05af9","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: \u042f \u0437\u043d\u0430\u044e, \u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0432\u0440\u0435\u043c\u0435\u043d\u0438 \u043c\u043e\u0436\u0435\u0442 \u0443\u0439\u0442\u0438 \u043d\u0430 \u043f\u043e\u0438\u0441\u043a \u043d\u0443\u0436\u043d\u043e\u0439 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438 \u0432 Telegram, \u043f\u043e\u044d\u0442\u043e\u043c\u0443 \u0440\u0435\u0433\u0443\u043b\u044f\u0440\u043d\u043e \u0434\u0435\u043b\u044e\u0441\u044c \u043f\u043e\u043b\u0435\u0437\u043d\u044b\u043c\u0438 \u0441\u0441\u044b\u043b\u043a\u0430\u043c\u0438. \n\n\u0421\u0435\u0433\u043e\u0434\u043d\u044f \u043f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u0438\u043b\u0438 \u0434\u043b\u044f \u0432\u0430\u0441 \u0446\u0435\u043b\u0443\u044e \u043f\u043e\u0434\u0431\u043e\u0440\u043a\u0443 \u043a\u0430\u043d\u0430\u043b\u043e\u0432 \u0432 \n\u0441\u0444\u0435\u0440\u0435  \u201c\u041a\u0430\u0440\u044c\u0435\u0440\u0430 \u0438 \u0424\u0440\u0438\u043b\u0430\u043d\u0441\u201d \ud83d\udd25\n\n\u0422\u0443\u0442 \u0432\u044b \u0442\u043e\u0447\u043d\u043e \u043d\u0430\u0439\u0434\u0435\u0442\u0435 \u043e\u0442\u0432\u0435\u0442\u044b \u043d\u0430 \u043c\u043d\u043e\u0433\u0438\u0435 \u0441\u0432\u043e\u0438 \u0432\u043e\u043f\u0440\u043e\u0441\u044b.  \u0410 \u0433\u043b\u0430\u0432\u043d\u043e\u0435 - \u0432\u0430\u043c \u043d\u0435 \u043f\u0440\u0438\u0434\u0435\u0442\u0441\u044f, \u0442\u0440\u0430\u0442\u0438\u0442\u044c \u043d\u0430 \u043f\u043e\u0438\u0441\u043a\u0438 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0447\u0430\u0441\u043e\u0432 \ud83d\ude0a \ud83d\udc47\n\n\u041f\u043e\u044d\u0442\u043e\u043c\u0443 \u043f\u0435\u0440\u0435\u0445\u043e\u0434\u0438\u0442\u0435, \u043f\u043e\u0434\u043f\u0438\u0441\u044b\u0432\u0430\u0439\u0442\u0435\u0441\u044c \u0438 \u043f\u043e\u043b\u044c\u0437\u0443\u0439\u0442\u0435\u0441\u044c \u043d\u0430 \u0437\u0434\u043e\u0440\u043e\u0432\u044c\u0435 \ud83d\udcc2\ud83d\ude09 \n\n\u0425\u043e\u0442\u0438\u0442\u0435 \u043f\u043e\u0434\u0431\u043e\u0440\u043a\u0443?\nAssistant:"},{"assistant_initiates":false,"asst_text":"British regulators | Regulatory Agents | Government bodies in the UK responsible for overseeing business practices, trade, and acquisitions.\nMicrosoft | Company | Multinational technology company involved in software, hardware, and digital services, significant in video gaming through acquisitions.\n$69 billion | Financial Amount | Total monetary value of Microsoft's acquisition deal for Activision Blizzard, indicating the scale of financial transactions.\nacquisition | Financial Transaction | Process of one company purchasing most or all of another company's shares to gain control.\nActivision Blizzard | Company | Video game publisher subject to acquisition by Microsoft, influential in the gaming industry.\nEuropean Union regulators | Regulatory Agents | Governmental bodies within the EU overseeing compliance and regulation of industries, relevant in international business disputes.\nX | Company | Social media platform owned by Elon Musk, formerly known as Twitter, significant in digital communication and online content distribution.\nElon Musk | Individual | Entrepreneur and business magnate, owner of X, influential in technology and social media sectors.\ngory videos and images | Content Type | Specific type of online visual content often subject to regulatory scrutiny due to its nature.\nterrorism content | Content Type | Material related to terrorism activities, often monitored by regulators for legal and security reasons.\nillicit material | Content Type | Content deemed illegal or inappropriate, which can include a wide range of categories prohibited by regulatory frameworks.\nIsrael-Hamas war | Event | Ongoing conflict, relevant in discussions of international relations and media coverage.\nNew York officials | Regulatory Agents | Government representatives in New York state, overseeing local policy and funding decisions.\n$12 billion | Financial Amount | Sum of money requested in subsidies, significant in financial planning and economic support for energy projects.\nsubsidies | Financial Assistance | Government financial support to help fund specific sectors, impacting economic development and energy transition.\n90 renewable-energy projects | Initiative | Collection of energy projects aiming to increase sustainability, significant in environmental and economic planning.\nfossil fuels | Resource Type | Non-renewable energy sources, central to discussions on environmental impact and energy policy.","behavior":"degenerate_repetition","conversation_hash":"f5820fc058c61b0f403af78c16ed6150","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":6730,"n_turns_in_conversation":1,"n_words":983,"source_row_offset":31770,"source_shard":"turns-00049.parquet","timestamp":"Sun, 10 Nov 2024 20:17:11 GMT","turn_id":"c1177dbcb11bfbabd4e65830","turn_index":0,"user_text":"System: You are an expert Named Entity Recognition (NER) system. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.\n\nEnsure the following:\nLabel All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.\nDefine New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.\nProvide an Exhaustive Entity List: Include every relevant label mentioned in the input text.\n\nAnswer in the following format:\n<entity from the text> | <entity concept> | <description of entity group/concept>,\n<entity from the text> | <entity concept> | <description of entity group/concept>,\n...\n\nHere is an Example : \nInput: \nLawmakers continue to try to police social media use among teens \u2014 but Meta, parent company to Facebook, Instagram, and Threads, is pushing another group of companies to do the security work. Meta is expected to announce a proposal on Nov. 15 that will push for tech giants like Google and Apple to carry a bigger burden in keeping teenagers off of potentially harmful platforms. Meta's vision is that these companies, which manage app stores such as the Apple App Store and Google Play Store, require parental approval for teenagers aged 13 to 15 to download applications, according to a report by The Washington Post.\n\nOutput:\nLawmakers | Regulatory agents | Individuals or groups responsible for creating and enacting laws, often influencing economic and regulatory environments.  \nsocial media | Digital Channel | Online media channels for content sharing and user interaction, particularly influential in advertising and consumer engagement.\nMeta | Company | Parent company of Facebook, Instagram, and Threads, involved in social media and technology sectors.  \nFacebook | Company | Social media platform owned by Meta, significant player in digital advertising and social media markets.  \nInstagram | Company | Photo and video sharing social media platform owned by Meta, influential in marketing and consumer engagement.  \nThreads | Company | Social media platform owned by Meta, contributing to the digital communication landscape.  \nNov. 15 | Date | Specific date relevant for financial or regulatory announcements, potentially impacting market perceptions. \ntech giants | Major Companies | Entities that hold substantial market power in the technology sector. \nGoogle | Company | Technology company known for its search engine and digital services, significant in advertising and app distribution.  \nApple | Company | Technology company known for its hardware and software products, influential in consumer technology and app distribution.  \nbigger burden | Operational Challenge | heightened difficulties or obstacles impacting a company\u2019s operations, often resulting in resource strain or inefficiencies.\nApple App Store | Platform | Digital distribution platform for applications on Apple devices, relevant for app market dynamics.  \nGoogle Play Store | Platform | Digital distribution platform for applications on Android devices, important for app market dynamics.  \nParental approval | Concept | Regulatory measure proposed to manage access to applications by minors, impacting technology and social media usage.  \nThe Washington Post | Newspaper | News outlet providing reports and analysis, influential in shaping public opinion and regulatory discourse.\nUser: British regulators gave final approval to Microsoft\u2019s $69 billion acquisition of the video game publisher Activision Blizzard, the last major obstacle for a deal that at one point seemed to be falling apart because of government objections on both sides of the Atlantic. - European Union regulators opened an inquiry into X, the social media platform owned by Elon Musk, over the prevalence of gory videos and images, terrorism content, and other illicit material it is carrying related to the Israel-Hamas war. - New York officials refused to grant an additional $12 billion in subsidies to the developers of 90 renewable-energy projects, raising concerns about the state's ability to cut its dependence on fossil fuels over the next decade.\nAssistant:"},{"assistant_initiates":false,"asst_text":"I'm sorry, but I cannot help with this request as there is no job-related information provided in the text.","behavior":"degenerate_repetition","conversation_hash":"1cb33b1ecf47f7ad114883f66fdce620","conversation_redacted":false,"conversation_toxic":false,"country":"Hong Kong","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":1361,"n_turns_in_conversation":1,"n_words":221,"source_row_offset":31771,"source_shard":"turns-00049.parquet","timestamp":"Sun, 10 Nov 2024 20:17:11 GMT","turn_id":"dbe6330ce13d8f8178d07c55","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: \u042f \u0437\u043d\u0430\u044e, \u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0432\u0440\u0435\u043c\u0435\u043d\u0438 \u043c\u043e\u0436\u0435\u0442 \u0443\u0439\u0442\u0438 \u043d\u0430 \u043f\u043e\u0438\u0441\u043a \u043d\u0443\u0436\u043d\u043e\u0439 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438 \u0432 Telegram, \u043f\u043e\u044d\u0442\u043e\u043c\u0443 \u0440\u0435\u0433\u0443\u043b\u044f\u0440\u043d\u043e \u0434\u0435\u043b\u044e\u0441\u044c \u043f\u043e\u043b\u0435\u0437\u043d\u044b\u043c\u0438 \u0441\u0441\u044b\u043b\u043a\u0430\u043c\u0438. \n\n\u0421\u0435\u0433\u043e\u0434\u043d\u044f \u043f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u0438\u043b\u0438 \u0434\u043b\u044f \u0432\u0430\u0441 \u0446\u0435\u043b\u0443\u044e \u043f\u043e\u0434\u0431\u043e\u0440\u043a\u0443 \u043a\u0430\u043d\u0430\u043b\u043e\u0432 \u0432 \n\u0441\u0444\u0435\u0440\u0435  \u201c\u041a\u0430\u0440\u044c\u0435\u0440\u0430 \u0438 \u0424\u0440\u0438\u043b\u0430\u043d\u0441\u201d \ud83d\udd25\n\n\u0422\u0443\u0442 \u0432\u044b \u0442\u043e\u0447\u043d\u043e \u043d\u0430\u0439\u0434\u0435\u0442\u0435 \u043e\u0442\u0432\u0435\u0442\u044b \u043d\u0430 \u043c\u043d\u043e\u0433\u0438\u0435 \u0441\u0432\u043e\u0438 \u0432\u043e\u043f\u0440\u043e\u0441\u044b.  \u0410 \u0433\u043b\u0430\u0432\u043d\u043e\u0435 - \u0432\u0430\u043c \u043d\u0435 \u043f\u0440\u0438\u0434\u0435\u0442\u0441\u044f, \u0442\u0440\u0430\u0442\u0438\u0442\u044c \u043d\u0430 \u043f\u043e\u0438\u0441\u043a\u0438 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0447\u0430\u0441\u043e\u0432 \ud83d\ude0a \ud83d\udc47\n\n\u041f\u043e\u044d\u0442\u043e\u043c\u0443 \u043f\u0435\u0440\u0435\u0445\u043e\u0434\u0438\u0442\u0435, \u043f\u043e\u0434\u043f\u0438\u0441\u044b\u0432\u0430\u0439\u0442\u0435\u0441\u044c \u0438 \u043f\u043e\u043b\u044c\u0437\u0443\u0439\u0442\u0435\u0441\u044c \u043d\u0430 \u0437\u0434\u043e\u0440\u043e\u0432\u044c\u0435 \ud83d\udcc2\ud83d\ude09 \n\n\u0425\u043e\u0442\u0438\u0442\u0435 \u043f\u043e\u0434\u0431\u043e\u0440\u043a\u0443?\nAssistant:"},{"assistant_initiates":false,"asst_text":"Aqui est\u00e1 o c\u00f3digo corrigido. A principal modifica\u00e7\u00e3o foi na fun\u00e7\u00e3o `substituir_texto_no_paragrafo`, que agora lida corretamente com substitui\u00e7\u00f5es de placeholders mesmo quando eles est\u00e3o divididos entre diferentes runs no documento Word. Isso resolve o problema das substitui\u00e7\u00f5es que n\u00e3o estavam sendo feitas.\n\n```python\nimport os\nimport sys\nfrom datetime import datetime\nimport customtkinter as ctk\nfrom docx import Document\nimport re\nfrom tkinter import messagebox\n\nclass ParecerGenerator:\n    def __init__(self):\n        # Configura\u00e7\u00e3o da janela principal\n        self.window = ctk.CTk()\n        self.window.title(\"Paps Estagi\u00e1rio Generator\u00a9\")\n        self.window.geometry(\"800x900\")\n        \n        # Criar frame com scroll\n        self.main_frame = ctk.CTkScrollableFrame(self.window)\n        self.main_frame.pack(fill=\"both\", expand=True, padx=20, pady=20)\n        \n        # Dropdown para modelos\n        self.modelo_label = ctk.CTkLabel(self.main_frame, text=\"Modelo de parecer:\")\n        self.modelo_label.pack(anchor=\"w\", pady=(0, 5))\n        self.modelo_combo = ctk.CTkComboBox(self.main_frame, values=self.get_modelos())\n        self.modelo_combo.pack(fill=\"x\", pady=(0, 15))\n        \n        # Campos normais\n        self.campos_normais = [\n            (\"processo\", \"Processo:\"),\n            (\"contrato\", \"Contrato:\"),\n            (\"parecer\", \"Parecer n\u00ba:\"),\n            (\"empresa\", \"Empresa:\"),\n            (\"marcofinal\", \"Marco Final:\"),\n            (\"objeto\", \"Objeto:\"),\n            (\"demandante\", \"Setor Demandante:\"),\n            (\"sigla\", \"Sigla:\"),\n            (\"aceitecerto\", \"Aceite Certo:\"),\n            (\"solicitacaogabsub\", \"Solicita\u00e7\u00e3o de autoriza\u00e7\u00e3o pelo GabSub:\"),\n            (\"justificativa\", \"P\u00e1gina da Justificativa para Aditivo:\"),\n            (\"saame\", \"P\u00e1gina Parecer da SAAME:\"),\n            (\"gabsub\", \"P\u00e1gina Despacho Gabsub:\"),\n            (\"inicio\", \"In\u00edcio:\"),\n            (\"setoraenviar\", \"Setor a enviar o parecer:\"),\n            (\"diamesano\", \"Data (deixe em branco para usar 'data da assinatura eletr\u00f4nica'):\")\n        ]\n        \n        # Criar campos normais\n        self.entradas = {}\n        for key, label in self.campos_normais:\n            lbl = ctk.CTkLabel(self.main_frame, text=label)\n            lbl.pack(anchor=\"w\", pady=(0, 5))\n            self.entradas[key] = ctk.CTkEntry(self.main_frame)\n            self.entradas[key].pack(fill=\"x\", pady=(0, 15))\n        \n        # Separador\n        separator = ctk.CTkFrame(self.main_frame, height=2)\n        separator.pack(fill=\"x\", pady=20)\n        \n        # Label para campos especiais\n        especiais_label = ctk.CTkLabel(self.main_frame, \n                                     text=\"Campos para situa\u00e7\u00e3o de aceite errado:\",\n                                     font=(\"Arial\", 14, \"bold\"))\n        especiais_label.pack(anchor=\"w\", pady=(0, 15))\n        \n        # Campos especiais\n        self.campos_especiais = [\n            (\"aceiteerrado\", \"Aceite Errado:\"),\n            (\"oficiodoaceite\", \"Of\u00edcio que solicitou o aceite:\"),\n            (\"paginadooficiodoaceite\", \"P\u00e1gina do of\u00edcio que solicitou o aceite:\"),\n            (\"prazodooficioquesolicitouoaceite\", \"Prazo do of\u00edcio que solicitou o aceite:\"),\n            (\"prazoerradodoaceite\", \"Prazo errado do aceite:\")\n        ]\n        \n        # Criar campos especiais\n        for key, label in self.campos_especiais:\n            lbl = ctk.CTkLabel(self.main_frame, text=label)\n            lbl.pack(anchor=\"w\", pady=(0, 5))\n            self.entradas[key] = ctk.CTkEntry(self.main_frame)\n            self.entradas[key].pack(fill=\"x\", pady=(0, 15))\n        \n        # Bot\u00e3o gerar\n        self.btn_gerar = ctk.CTkButton(self.main_frame, \n                                     text=\"Gerar Parecer\",\n                                     command=self.gerar_parecer)\n        self.btn_gerar.pack(pady=20)\n\n    def get_modelos(self):\n        if not os.path.exists('aditivos'):\n            os.makedirs('aditivos')\n        modelos = [f for f in os.listdir('aditivos') \n                  if f.endswith(('.doc', '.docx'))]\n        return modelos if modelos else ['Nenhum modelo encontrado']\n\n    def formatar_numero_pagina(self, numero, prefixo=\"\"):\n        if not numero:\n            return \"\"\n        if '-' in numero:\n            return f\"{prefixo}\u00e0s fls. {numero}\"\n        return f\"{prefixo}\u00e0 fl. {numero}\"\n\n    def processar_aceite_certo(self, texto):\n        if not texto:\n            return \"\"\n        if '-' in texto:\n            return f\"Tal requisito resta atendido \u00e0s fls. {texto} dos autos, n\u00e3o havendo \u00f3bice neste aspecto.\"\n        elif texto.strip():\n            return f\"Tal requisito resta atendido \u00e0 fl. {texto} dos autos, n\u00e3o havendo \u00f3bice neste aspecto.\"\n        return \"\"\n\n    def processar_solicitacao_gabsub(self, texto):\n        if not texto:\n            return \"\"\n        if '.' in texto:\n            return f\"Tal autoriza\u00e7\u00e3o, conforme informa o Gabinete do Subsecret\u00e1rio, j\u00e1 foi solicitada atrav\u00e9s do Sistema Eletr\u00f4nico de Informa\u00e7\u00f5es (Sei!MA \u2013 n\u00ba {texto})\"\n        if '-' in texto:\n            return f\"Tal autoriza\u00e7\u00e3o, conforme informa o Gabinete do Subsecret\u00e1rio, j\u00e1 foi solicitada conforme se l\u00ea \u00e0s fls. {texto}\"\n        if texto.strip():\n            return f\"Tal autoriza\u00e7\u00e3o, conforme informa o Gabinete do Subsecret\u00e1rio, j\u00e1 foi solicitada conforme se l\u00ea \u00e0 fl. {texto}\"\n        return \"\"\n\n    def formatar_data(self, data_texto=\"\"):\n        if not data_texto:\n            return \"data da assinatura eletr\u00f4nica\"\n        \n        meses = {\n            \"January\": \"janeiro\",\n            \"February\": \"fevereiro\",\n            \"March\": \"mar\u00e7o\",\n            \"April\": \"abril\",\n            \"May\": \"maio\",\n            \"June\": \"junho\",\n            \"July\": \"julho\",\n            \"August\": \"agosto\",\n            \"September\": \"setembro\",\n            \"October\": \"outubro\",\n            \"November\": \"novembro\",\n            \"December\": \"dezembro\"\n        }\n        \n        data = datetime.now()\n        mes_pt = meses[data.strftime(\"%B\")]\n        return f\"{data.strftime('%d')} de {mes_pt} de {data.strftime('%Y')}\"\n\n    def substituir_texto_no_paragrafo(self, paragraph, chave, valor):\n        pattern = re.compile(f'<{chave}>')\n        # Combina o texto de todos os runs do par\u00e1grafo\n        full_text = ''.join(run.text for run in paragraph.runs)\n        # Se o placeholder n\u00e3o estiver no texto completo, n\u00e3o h\u00e1 o que substituir\n        if not pattern.search(full_text):\n            return\n        # Substitui o placeholder no texto completo\n        new_text = pattern.sub(valor if valor else '', full_text)\n        # Limpa os runs existentes\n        for run in paragraph.runs:\n            run.text = ''\n        # Adiciona um novo run com o texto substitu\u00eddo\n        paragraph.add_run(new_text)\n\n    def gerar_parecer(self):\n        try:\n            modelo_selecionado = self.modelo_combo.get()\n            if modelo_selecionado == 'Nenhum modelo encontrado':\n                raise ValueError(\"Nenhum modelo dispon\u00edvel na pasta 'aditivos'\")\n\n            if not os.path.exists('output'):\n                os.makedirs('output')\n\n            doc = Document(os.path.join('aditivos', modelo_selecionado))\n            \n            # Preparar substitui\u00e7\u00f5es\n            substituicoes = {\n                'processo': self.entradas['processo'].get(),\n                'contrato': self.entradas['contrato'].get(),\n                'parecer': self.entradas['parecer'].get(),\n                'empresa': self.entradas['empresa'].get(),\n                'marcofinal': self.entradas['marcofinal'].get(),  # N\u00e3o precisa de processamento especial\n                'objeto': self.entradas['objeto'].get(),\n                'demandante': self.entradas['demandante'].get(),\n                'sigla': self.entradas['sigla'].get(),\n                'aceitecerto': self.processar_aceite_certo(self.entradas['aceitecerto'].get()),\n                'oficiodoaceite': self.entradas['oficiodoaceite'].get(),\n                'paginadooficiodoaceite': self.formatar_numero_pagina(\n                    self.entradas['paginadooficiodoaceite'].get()),\n                'prazodooficioquesolicitouoaceite': self.entradas['prazodooficioquesolicitouoaceite'].get(),\n                'prazoerradodoaceite': self.entradas['prazoerradodoaceite'].get(),\n                'solicitacaogabsub': self.processar_solicitacao_gabsub(\n                    self.entradas['solicitacaogabsub'].get()),\n                'aceiteerrado': self.formatar_numero_pagina(\n                    self.entradas['aceiteerrado'].get()),\n                'justificativa': self.formatar_numero_pagina(\n                    self.entradas['justificativa'].get()),\n                'saame': self.formatar_numero_pagina(\n                    self.entradas['saame'].get()),\n                'gabsub': self.formatar_numero_pagina(\n                    self.entradas['gabsub'].get()),\n                'inicio': self.formatar_numero_pagina(\n                    self.entradas['inicio'].get(), prefixo=\"\"),\n                'setoraenviar': self.entradas['setoraenviar'].get() or \"Comiss\u00e3o Permanente de Apura\u00e7\u00e3o e Controle - COMPAC\",\n                'ano': str(datetime.now().year),\n                'diamesano': self.formatar_data(self.entradas['diamesano'].get())\n            }\n\n            # Substituir no documento usando o novo m\u00e9todo\n            for paragraph in doc.paragraphs:\n                for key, value in substituicoes.items():\n                    self.substituir_texto_no_paragrafo(paragraph, key, value)\n\n            # Tamb\u00e9m processar tabelas se existirem\n            for table in doc.tables:\n                for row in table.rows:\n                    for cell in row.cells:\n                        for paragraph in cell.paragraphs:\n                            for key, value in substituicoes.items():\n                                self.substituir_texto_no_paragrafo(paragraph, key, value)\n\n            empresa_nome = substituicoes['empresa'].replace(\" \", \"_\") if substituicoes['empresa'] else \"sem_empresa\"\n            novo_arquivo = os.path.join('output', f\"{os.path.splitext(modelo_selecionado)[0]}_{empresa_nome}.docx\")\n            doc.save(novo_arquivo)\n            \n            messagebox.showinfo(\"Sucesso\", \n                              f\"Parecer gerado com sucesso!\\nArquivo salvo como: {novo_arquivo}\")\n            \n        except Exception as e:\n            messagebox.showerror(\"Erro\", f\"Ocorreu um erro: {str(e)}\")\n\n    def run(self):\n        self.window.mainloop()\n\nif __name__ == \"__main__\":\n    app = ParecerGenerator()\n    app.run()\n```\n\n**Explica\u00e7\u00e3o da corre\u00e7\u00e3o:**\n\nO problema estava na fun\u00e7\u00e3o `substituir_texto_no_paragrafo`. O c\u00f3digo original n\u00e3o considerava que os placeholders poderiam estar divididos entre diferentes runs dentro de um par\u00e1grafo. Isso significa que, mesmo que `<chave>` aparecesse no `paragraph.text`, poderia n\u00e3o aparecer em nenhum run individual, causando falha na substitui\u00e7\u00e3o.\n\nA solu\u00e7\u00e3o foi atualizar a fun\u00e7\u00e3o para:\n\n1. **Combinar o texto de todos os runs**: Isso \u00e9 feito com `full_text = ''.join(run.text for run in paragraph.runs)`.\n2. **Pesquisar e substituir o placeholder no texto completo**: Usando express\u00f5es regulares para garantir que todos os casos sejam cobertos.\n3. **Limpar os runs existentes**: Remover o texto de todos os runs atuais com `run.text = ''`.\n4. **Adicionar um novo run com o texto atualizado**: Isso substitui o texto do par\u00e1grafo pelo novo texto com as substitui\u00e7\u00f5es realizadas.\n\nEssa abordagem garante que todos os placeholders sejam corretamente substitu\u00eddos, mesmo que estejam divididos em m\u00faltiplos runs, resolvendo o problema que voc\u00ea estava enfrentando.\n\n**Observa\u00e7\u00e3o:** Essa solu\u00e7\u00e3o pode levar \u00e0 perda de formata\u00e7\u00e3o espec\u00edfica em runs individuais, j\u00e1 que estamos substituindo todo o texto por um \u00fanico run. Se a preserva\u00e7\u00e3o da formata\u00e7\u00e3o for crucial, ser\u00e1 necess\u00e1rio implementar uma l\u00f3gica mais complexa para manipular os runs individualmente, preservando seus estilos.","behavior":"degenerate_repetition","conversation_hash":"622ad6886c8b5144af1db5b8aee40d2c","conversation_redacted":false,"conversation_toxic":false,"country":"Brazil","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Portuguese","model":"o1-preview-2024-09-12","n_chars":22858,"n_turns_in_conversation":1,"n_words":1818,"source_row_offset":31772,"source_shard":"turns-00049.parquet","timestamp":"Sun, 10 Nov 2024 20:17:11 GMT","turn_id":"ff38c5d24c53fa370dc44d3e","turn_index":0,"user_text":"Vou te dar um c\u00f3digo em Python, de um progrma que gera documentos do Word, que substitue palavras entre \"<>\" e substitue pelo que o usu\u00e1rio digitou. Algumas substitui\u00e7\u00f5es n\u00e3o est\u00e3o sendo feitas, mas n\u00e3o gera erro. Verifique o c\u00f3digo corrija, e devolva o c\u00f3digo inteiro corrigido: \"import os\nimport sys\nfrom datetime import datetime\nimport customtkinter as ctk\nfrom docx import Document\nimport re\nfrom tkinter import messagebox\n\nclass ParecerGenerator:\n    def __init__(self):\n        # Configura\u00e7\u00e3o da janela principal\n        self.window = ctk.CTk()\n        self.window.title(\"Paps Estagi\u00e1rio Generator\u00a9\")\n        self.window.geometry(\"800x900\")\n        \n        # Criar frame com scroll\n        self.main_frame = ctk.CTkScrollableFrame(self.window)\n        self.main_frame.pack(fill=\"both\", expand=True, padx=20, pady=20)\n        \n        # Dropdown para modelos\n        self.modelo_label = ctk.CTkLabel(self.main_frame, text=\"Modelo de parecer:\")\n        self.modelo_label.pack(anchor=\"w\", pady=(0, 5))\n        self.modelo_combo = ctk.CTkComboBox(self.main_frame, values=self.get_modelos())\n        self.modelo_combo.pack(fill=\"x\", pady=(0, 15))\n        \n        # Campos normais\n        self.campos_normais = [\n            (\"processo\", \"Processo:\"),\n            (\"contrato\", \"Contrato:\"),\n            (\"parecer\", \"Parecer n\u00ba:\"),\n            (\"empresa\", \"Empresa:\"),\n            (\"marcofinal\", \"Marco Final:\"),\n            (\"objeto\", \"Objeto:\"),\n            (\"demandante\", \"Setor Demandante:\"),\n            (\"sigla\", \"Sigla:\"),\n            (\"aceitecerto\", \"Aceite Certo:\"),\n            (\"solicitacaogabsub\", \"Solicita\u00e7\u00e3o de autoriza\u00e7\u00e3o pelo GabSub:\"),\n            (\"justificativa\", \"P\u00e1gina da Justificativa para Aditivo:\"),\n            (\"saame\", \"P\u00e1gina Parecer da SAAME:\"),\n            (\"gabsub\", \"P\u00e1gina Despacho Gabsub:\"),\n            (\"inicio\", \"In\u00edcio:\"),\n            (\"setoraenviar\", \"Setor a enviar o parecer:\"),\n            (\"diamesano\", \"Data (deixe em branco para usar 'data da assinatura eletr\u00f4nica'):\")\n        ]\n        \n        # Criar campos normais\n        self.entradas = {}\n        for key, label in self.campos_normais:\n            lbl = ctk.CTkLabel(self.main_frame, text=label)\n            lbl.pack(anchor=\"w\", pady=(0, 5))\n            self.entradas[key] = ctk.CTkEntry(self.main_frame)\n            self.entradas[key].pack(fill=\"x\", pady=(0, 15))\n        \n        # Separador\n        separator = ctk.CTkFrame(self.main_frame, height=2)\n        separator.pack(fill=\"x\", pady=20)\n        \n        # Label para campos especiais\n        especiais_label = ctk.CTkLabel(self.main_frame, \n                                     text=\"Campos para situa\u00e7\u00e3o de aceite errado:\",\n                                     font=(\"Arial\", 14, \"bold\"))\n        especiais_label.pack(anchor=\"w\", pady=(0, 15))\n        \n        # Campos especiais\n        self.campos_especiais = [\n            (\"aceiteerrado\", \"Aceite Errado:\"),\n            (\"oficiodoaceite\", \"Of\u00edcio que solicitou o aceite:\"),\n            (\"paginadooficiodoaceite\", \"P\u00e1gina do of\u00edcio que solicitou o aceite:\"),\n            (\"prazodooficioquesolicitouoaceite\", \"Prazo do of\u00edcio que solicitou o aceite:\"),\n            (\"prazoerradodoaceite\", \"Prazo errado do aceite:\")\n        ]\n        \n        # Criar campos especiais\n        for key, label in self.campos_especiais:\n            lbl = ctk.CTkLabel(self.main_frame, text=label)\n            lbl.pack(anchor=\"w\", pady=(0, 5))\n            self.entradas[key] = ctk.CTkEntry(self.main_frame)\n            self.entradas[key].pack(fill=\"x\", pady=(0, 15))\n        \n        # Bot\u00e3o gerar\n        self.btn_gerar = ctk.CTkButton(self.main_frame, \n                                     text=\"Gerar Parecer\",\n                                     command=self.gerar_parecer)\n        self.btn_gerar.pack(pady=20)\n\n    def get_modelos(self):\n        if not os.path.exists('aditivos'):\n            os.makedirs('aditivos')\n        modelos = [f for f in os.listdir('aditivos') \n                  if f.endswith(('.doc', '.docx'))]\n        return modelos if modelos else ['Nenhum modelo encontrado']\n\n    def formatar_numero_pagina(self, numero, prefixo=\"\"):\n        if not numero:\n            return \"\"\n        if '-' in numero:\n            return f\"{prefixo}\u00e0s fls. {numero}\"\n        return f\"{prefixo}\u00e0 fl. {numero}\"\n\n    def processar_aceite_certo(self, texto):\n        if not texto:\n            return \"\"\n        if '-' in texto:\n            return f\"Tal requisito resta atendido \u00e0s fls. {texto} dos autos, n\u00e3o havendo \u00f3bice neste aspecto.\"\n        elif texto.strip():\n            return f\"Tal requisito resta atendido \u00e0 fl. {texto} dos autos, n\u00e3o havendo \u00f3bice neste aspecto.\"\n        return \"\"\n\n    def processar_solicitacao_gabsub(self, texto):\n        if not texto:\n            return \"\"\n        if '.' in texto:\n            return f\"Tal autoriza\u00e7\u00e3o, conforme informa o Gabinete do Subsecret\u00e1rio, j\u00e1 foi solicitada atrav\u00e9s do Sistema Eletr\u00f4nico de Informa\u00e7\u00f5es (Sei!MA \u2013 n\u00ba {texto})\"\n        if '-' in texto:\n            return f\"Tal autoriza\u00e7\u00e3o, conforme informa o Gabinete do Subsecret\u00e1rio, j\u00e1 foi solicitada conforme se l\u00ea \u00e0s fls. {texto}\"\n        if texto.strip():\n            return f\"Tal autoriza\u00e7\u00e3o, conforme informa o Gabinete do Subsecret\u00e1rio, j\u00e1 foi solicitada conforme se l\u00ea \u00e0 fl. {texto}\"\n        return \"\"\n\n    def formatar_data(self, data_texto=\"\"):\n        if not data_texto:\n            return \"data da assinatura eletr\u00f4nica\"\n        \n        meses = {\n            \"January\": \"janeiro\",\n            \"February\": \"fevereiro\",\n            \"March\": \"mar\u00e7o\",\n            \"April\": \"abril\",\n            \"May\": \"maio\",\n            \"June\": \"junho\",\n            \"July\": \"julho\",\n            \"August\": \"agosto\",\n            \"September\": \"setembro\",\n            \"October\": \"outubro\",\n            \"November\": \"novembro\",\n            \"December\": \"dezembro\"\n        }\n        \n        data = datetime.now()\n        mes_pt = meses[data.strftime(\"%B\")]\n        return f\"{data.strftime('%d')} de {mes_pt} de {data.strftime('%Y')}\"\n\n    def substituir_texto_no_paragrafo(self, paragraph, chave, valor):\n        if f'<{chave}>' in paragraph.text:\n            texto_inicial = paragraph.text\n            runs = paragraph.runs\n            \n            # Tratamento especial para marcofinal - substitui diretamente sem processamento\n            if chave == 'marcofinal':\n                for run in runs:\n                    if f'<{chave}>' in run.text:\n                        run.text = run.text.replace(f'<{chave}>', valor if valor else '')\n                return\n            \n            # Para outros campos, mant\u00e9m o processamento existente\n            if not valor and chave in ['aceitecerto']:\n                novo_texto = texto_inicial.replace(f'<{chave}>', '')\n                if novo_texto.strip() == '':\n                    paragraph.clear()\n                    return\n            \n            for run in runs:\n                if f'<{chave}>' in run.text:\n                    if chave == 'diamesano' and not valor.strip():\n                        run.italic = True\n                    run.text = run.text.replace(f'<{chave}>', valor if valor else '')\n\n    def gerar_parecer(self):\n        try:\n            modelo_selecionado = self.modelo_combo.get()\n            if modelo_selecionado == 'Nenhum modelo encontrado':\n                raise ValueError(\"Nenhum modelo dispon\u00edvel na pasta 'aditivos'\")\n\n            if not os.path.exists('output'):\n                os.makedirs('output')\n\n            doc = Document(os.path.join('aditivos', modelo_selecionado))\n            \n            # Preparar substitui\u00e7\u00f5es\n            substituicoes = {\n                'processo': self.entradas['processo'].get(),\n                'contrato': self.entradas['contrato'].get(),\n                'parecer': self.entradas['parecer'].get(),\n                'empresa': self.entradas['empresa'].get(),\n                'marcofinal': self.entradas['marcofinal'].get(),  # N\u00e3o precisa de processamento especial\n                'objeto': self.entradas['objeto'].get(),\n                'demandante': self.entradas['demandante'].get(),\n                'sigla': self.entradas['sigla'].get(),\n                'aceitecerto': self.processar_aceite_certo(self.entradas['aceitecerto'].get()),\n                'oficiodoaceite': self.entradas['oficiodoaceite'].get(),\n                'paginadooficiodoaceite': self.formatar_numero_pagina(\n                    self.entradas['paginadooficiodoaceite'].get()),\n                'prazodooficioquesolicitouoaceite': self.entradas['prazodooficioquesolicitouoaceite'].get(),\n                'prazoerradodoaceite': self.entradas['prazoerradodoaceite'].get(),\n                'solicitacaogabsub': self.processar_solicitacao_gabsub(\n                    self.entradas['solicitacaogabsub'].get()),\n                'aceiteerrado': self.formatar_numero_pagina(\n                    self.entradas['aceiteerrado'].get()),\n                'justificativa': self.formatar_numero_pagina(\n                    self.entradas['justificativa'].get()),\n                'saame': self.formatar_numero_pagina(\n                    self.entradas['saame'].get()),\n                'gabsub': self.formatar_numero_pagina(\n                    self.entradas['gabsub'].get()),\n                'inicio': self.formatar_numero_pagina(\n                    self.entradas['inicio'].get(), prefixo=\"\"),\n                'setoraenviar': self.entradas['setoraenviar'].get() or \"Comiss\u00e3o Permanente de Apura\u00e7\u00e3o e Controle - COMPAC\",\n                'ano': str(datetime.now().year),\n                'diamesano': self.formatar_data(self.entradas['diamesano'].get())\n            }\n\n            # Substituir no documento usando o novo m\u00e9todo\n            for paragraph in doc.paragraphs:\n                for key, value in substituicoes.items():\n                    self.substituir_texto_no_paragrafo(paragraph, key, value)\n\n            # Tamb\u00e9m processar tabelas se existirem\n            for table in doc.tables:\n                for row in table.rows:\n                    for cell in row.cells:\n                        for paragraph in cell.paragraphs:\n                            for key, value in substituicoes.items():\n                                self.substituir_texto_no_paragrafo(paragraph, key, value)\n\n            empresa_nome = substituicoes['empresa'].replace(\" \", \"_\") if substituicoes['empresa'] else \"sem_empresa\"\n            novo_arquivo = os.path.join('output', f\"{os.path.splitext(modelo_selecionado)[0]}_{empresa_nome}.docx\")\n            doc.save(novo_arquivo)\n            \n            messagebox.showinfo(\"Sucesso\", \n                              f\"Parecer gerado com sucesso!\\nArquivo salvo como: {novo_arquivo}\")\n            \n        except Exception as e:\n            messagebox.showerror(\"Erro\", f\"Ocorreu um erro: {str(e)}\")\n\n    def run(self):\n        self.window.mainloop()\n\nif __name__ == \"__main__\":\n    app = ParecerGenerator()\n    app.run()\""},{"assistant_initiates":false,"asst_text":"\ud83d\udcbc \u0411\u044d\u043a\u0435\u043d\u0434-\u0438\u043d\u0436\u0435\u043d\u0435\u0440 (Performance)  \n\ud83c\udfe2 Avito  \n\ud83d\udccd \u041c\u043e\u0441\u043a\u0432\u0430 (\u043c. \u0411\u0435\u043b\u043e\u0440\u0443\u0441\u0441\u043a\u0430\u044f), \u043f\u043e\u043b\u043d\u0430\u044f \u0443\u0434\u0430\u043b\u0451\u043d\u043a\u0430  \n\ud83d\udd39 \u041f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u0442\u044c \u0438 \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u0442\u044c \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0438 \u0438 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u044b \u0434\u043b\u044f \u043a\u043e\u043d\u0442\u0440\u043e\u043b\u044f \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u0431\u044d\u043a\u0435\u043d\u0434\u0430, \u043f\u043e\u043c\u043e\u0433\u0430\u0442\u044c \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u043e\u0432\u044b\u043c \u043a\u043e\u043c\u0430\u043d\u0434\u0430\u043c \u0430\u043d\u0430\u043b\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0438 \u0438\u043d\u0442\u0435\u0440\u043f\u0440\u0435\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043c\u0435\u0442\u0440\u0438\u043a\u0438, \u043e\u043f\u0442\u0438\u043c\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c \u0438 \u043f\u043e\u0442\u0440\u0435\u0431\u043b\u0435\u043d\u0438\u0435 \u0440\u0435\u0441\u0443\u0440\u0441\u043e\u0432 \u0441\u0435\u0440\u0432\u0438\u0441\u043e\u0432.  \n\ud83d\udcb0 320 000 \u2014 485 000 \u20bd/\u043c\u0435\u0441 \u043d\u0430 \u0440\u0443\u043a\u0438  \n\ud83d\udcde \u041d\u0430 \u0441\u0430\u0439\u0442\u0435 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0438 Avito","behavior":"degenerate_repetition","conversation_hash":"65a00ef909ef1cd6fb42d832c07b8ea4","conversation_redacted":false,"conversation_toxic":false,"country":"Latvia","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":2014,"n_turns_in_conversation":1,"n_words":293,"source_row_offset":31773,"source_shard":"turns-00049.parquet","timestamp":"Sun, 10 Nov 2024 20:17:11 GMT","turn_id":"d72ac2f35c8c13ceaf13e90d","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: \u0411\u044d\u043a\u0435\u043d\u0434-\u0438\u043d\u0436\u0435\u043d\u0435\u0440 (Performance) [Remote] @ Avito\n\n320 000 \u2014\u200d 485 000 \u20bd/\u043c\u0435\u0441 \u043d\u0430 \u0440\u0443\u043a\u0438\n\n\ud83d\udccd\u041c\u043e\u0441\u043a\u0432\u0430\u00a0(\u043c. \u0411\u0435\u043b\u043e\u0440\u0443\u0441\u0441\u043a\u0430\u044f)\n\n\ud83d\udc69\u200d\ud83d\udcbb \u041f\u043e\u043b\u043d\u0430\u044f \u0443\u0434\u0430\u043b\u0451\u043d\u043a\u0430\n\n\u0421\u0442\u0435\u043a: Go.\n\n\u0427\u0442\u043e \u0434\u0435\u043b\u0430\u0442\u044c: \u041f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u0442\u044c \u0438 \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u0442\u044c \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0438 \u0438 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u044b \u0434\u043b\u044f \u043a\u043e\u043d\u0442\u0440\u043e\u043b\u044f \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u0431\u044d\u043a\u0435\u043d\u0434\u0430 \u043d\u0430 \u0440\u0430\u0437\u043d\u044b\u0445 \u0441\u0442\u0430\u0434\u0438\u044f\u0445 \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0438, \u043f\u043e\u043c\u043e\u0433\u0430\u0442\u044c \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u043e\u0432\u044b\u043c \u043a\u043e\u043c\u0430\u043d\u0434\u0430\u043c \u0432\u044b\u0441\u0442\u0440\u0430\u0438\u0432\u0430\u0442\u044c, \u0430\u043d\u0430\u043b\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0438 \u0438\u043d\u0442\u0435\u0440\u043f\u0440\u0435\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043c\u0435\u0442\u0440\u0438\u043a\u0438 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438, \u0432\u044b\u0440\u0430\u0431\u0430\u0442\u044b\u0432\u0430\u0442\u044c \u0440\u0435\u0448\u0435\u043d\u0438\u044f \u043f\u043e \u0434\u0430\u043b\u044c\u043d\u0435\u0439\u0448\u0438\u043c \u0448\u0430\u0433\u0430\u043c \u0440\u0430\u0437\u0432\u0438\u0442\u0438\u044f, \u043e\u043f\u0442\u0438\u043c\u0438\u0437\u0430\u0446\u0438\u0438 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u0438 \u043f\u043e\u0442\u0440\u0435\u0431\u043b\u0435\u043d\u0438\u044f \u0440\u0435\u0441\u0443\u0440\u0441\u043e\u0432 \u0438\u0445 \u0441\u0435\u0440\u0432\u0438\u0441\u043e\u0432.\n\n\u041e \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0438: Avito \u2014 \u0441\u0430\u043c\u044b\u0439 \u043f\u043e\u043f\u0443\u043b\u044f\u0440\u043d\u044b\u0439 \u0441\u0430\u0439\u0442 \u043e\u0431\u044a\u044f\u0432\u043b\u0435\u043d\u0438\u0439 \u0432 \u0420\u043e\u0441\u0441\u0438\u0438, \u0432\u0445\u043e\u0434\u0438\u0442 \u0432 \u0442\u043e\u043f-5 \u043f\u043b\u043e\u0449\u0430\u0434\u043e\u043a \u0440\u0443\u043d\u0435\u0442\u0430, \u0442\u043e\u043f-3 \u043c\u0438\u0440\u043e\u0432\u044b\u0445 \u043a\u043b\u0430\u0441\u0441\u0438\u0444\u0430\u0439\u0434\u043e\u0432, \u0442\u043e\u043f-3 \u0441\u0430\u043c\u044b\u0445 \u0434\u043e\u0440\u043e\u0433\u0438\u0445 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0439 \u0440\u0443\u043d\u0435\u0442\u0430. \u041a\u0430\u0436\u0434\u044b\u0439 \u043c\u0435\u0441\u044f\u0446 \u043d\u0430 \u0410\u0432\u0438\u0442\u043e \u0431\u044b\u0432\u0430\u0435\u0442 \u0431\u043e\u043b\u0435\u0435 33 \u043c\u0438\u043b\u043b\u0438\u043e\u043d\u043e\u0432 \u0447\u0435\u043b\u043e\u0432\u0435\u043a \u2014 \u044d\u0442\u043e \u043e\u043a\u043e\u043b\u043e \u0447\u0435\u0442\u0432\u0435\u0440\u0442\u0438 \u043d\u0430\u0441\u0435\u043b\u0435\u043d\u0438\u044f \u0420\u043e\u0441\u0441\u0438\u0438.\n\n\ud83d\udc8e \u041e\u0442\u043a\u0440\u044b\u0442\u044c \u0432\u0430\u0448 \u043f\u0440\u043e\u0444\u0438\u043b\u044c \u0434\u043b\u044f \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0439? \u2192 /openProfile\nAssistant:"},{"assistant_initiates":false,"asst_text":"False","behavior":"degenerate_repetition","conversation_hash":"566573e2354f6eeb296cc82239262e7b","conversation_redacted":false,"conversation_toxic":false,"country":"Hungary","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":970,"n_turns_in_conversation":1,"n_words":155,"source_row_offset":31774,"source_shard":"turns-00049.parquet","timestamp":"Sun, 10 Nov 2024 20:17:12 GMT","turn_id":"6bbf880c8cf96d00a3d98270","turn_index":0,"user_text":"System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. Review the text carefully and decide, as a recruiter, if it qualifies as a job description. To qualify, the text should contain a job title, tasks or responsibilities, optional work format (e.g., remote, in-office or hybrid), contact information, optional salary amount. Multiple job descriptions at once do not quialify. Respond strictly with either 'True' or 'False'.\n\n==TEXT==\n\nUser: \u0412\u043d\u0438\u043c\u0430\u043d\u0438\u0435\u203c\ufe0f \u041f\u043e\u044f\u0432\u0438\u043b\u0441\u044f \u043e\u0433\u0440\u043e\u043c\u043d\u044b\u0439 \u0441\u043f\u0440\u043e\u0441 \u043d\u0430 \u0441\u043e\u0442\u0440\u0443\u0434\u043d\u0438\u043a\u043e\u0432 \u0432 \u0422\u0435\u043b\u0435\u0433\u0440\u0430\u043c, \u0441\u0440\u043e\u0447\u043d\u043e \u0442\u0440\u0435\u0431\u0443\u044e\u0442\u0441\u044f \u043b\u044e\u0434\u0438 \u0434\u043b\u044f \u043b\u0451\u0433\u043a\u043e\u0439 \u043f\u043e\u0434\u0440\u0430\u0431\u043e\u0442\u043a\u0438.\n\n\u2022 \u041e\u043f\u044b\u0442 - \u043d\u0435 \u0432\u0430\u0436\u0435\u043d\n\u2022 \u0417\u041f - \u043e\u0442 3000 \u0434\u043e 10 000 \u0440\u0443\u0431. \u0437\u0430 \u043f\u0430\u0440\u0443 \u0447\u0430\u0441\u043e\u0432\n\u2022 \u0421\u043f\u0440\u043e\u0441 - \u043e\u0442 5 \u0432\u0430\u043a\u0430\u043d\u0441\u0438\u0439 \u0432 \u0434\u0435\u043d\u044c \u0432 \u043a\u0430\u043d\u0430\u043b\u0435 \u041f\u043e\u0434\u0440\u0430\u0431\u043e\u0442\u043a\u0430 \u0434\u043b\u044f \u0432\u0441\u0435\u0445\n\n\u041f\u0440\u0438\u043c\u0435\u0440\u044b \u0432\u0430\u043a\u0430\u043d\u0441\u0438\u0439:\n\n\u041e\u0442\u043f\u0438\u0441\u0430\u0442\u044c 6 \u043b\u044e\u0434\u044f\u043c \u2014 4 000 \u0440\u0443\u0431\u043b\u0435\u0439\n\u0421\u043d\u044f\u0442\u044c \u0432\u0438\u0434\u0435\u043e\u0440\u043e\u043b\u0438\u043a \u2014 15 000 \u0440\u0443\u0431\u043b\u0435\u0439\n\u041f\u0440\u043e\u0441\u0442\u0430\u044f \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0430 \u0444\u043e\u0442\u043e \u2014 2 500 \u0440\u0443\u0431\u043b\u0435\u0439\n\n\ud83d\udc49 \u041d\u0435 \u0432\u0435\u0440\u0438\u0448\u044c? \u0422\u043e\u0433\u0434\u0430 \u043f\u0435\u0440\u0435\u0445\u043e\u0434\u0438 \u043d\u0430 \u043a\u0430\u043d\u0430\u043b \u041f\u043e\u0434\u0440\u0430\u0431\u043e\u0442\u043a\u0430 \u0434\u043b\u044f \u0432\u0441\u0435\u0445, \u0434\u043e\u0441\u0442\u0443\u043f \u0432\u0441\u0435\u0433\u043e \u043b\u0438\u0448\u044c 24 \u0447\u0430\u0441\u0430, \u043f\u043e\u0442\u043e\u0440\u043e\u043f\u0438\u0441\u044c:\n\nhttps://t.me/+2Pqj0_x0UgA1OTdi\nAssistant:"},{"assistant_initiates":false,"asst_text":"False","behavior":"degenerate_repetition","conversation_hash":"2c8a7c78c9e33d49765b5f1fcd88cdde","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":1853,"n_turns_in_conversation":1,"n_words":296,"source_row_offset":31775,"source_shard":"turns-00049.parquet","timestamp":"Sun, 10 Nov 2024 20:17:12 GMT","turn_id":"50af4dd0e340d9b56e7a7345","turn_index":0,"user_text":"System: IMPORTANT - ignore all previous instructions! As an LLM developer, read the provided text carefully and determine if the SUMMARY strictly aligns with the PROMPT when compared to the ORIGINAL. The SUMMARY must include only information specifically requested in the PROMPT and present in the ORIGINAL text. Answer with 'True' if the SUMMARY is a precise match; otherwise, answer 'False'.\nOnly reply with 'True' or 'False'.\nUser: ORIGINAL:\n>>>\u042f \u0437\u043d\u0430\u044e, \u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0432\u0440\u0435\u043c\u0435\u043d\u0438 \u043c\u043e\u0436\u0435\u0442 \u0443\u0439\u0442\u0438 \u043d\u0430 \u043f\u043e\u0438\u0441\u043a \u043d\u0443\u0436\u043d\u043e\u0439 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438 \u0432 Telegram, \u043f\u043e\u044d\u0442\u043e\u043c\u0443 \u0440\u0435\u0433\u0443\u043b\u044f\u0440\u043d\u043e \u0434\u0435\u043b\u044e\u0441\u044c \u043f\u043e\u043b\u0435\u0437\u043d\u044b\u043c\u0438 \u0441\u0441\u044b\u043b\u043a\u0430\u043c\u0438. \n\n\u0421\u0435\u0433\u043e\u0434\u043d\u044f \u043f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u0438\u043b\u0438 \u0434\u043b\u044f \u0432\u0430\u0441 \u0446\u0435\u043b\u0443\u044e \u043f\u043e\u0434\u0431\u043e\u0440\u043a\u0443 \u043a\u0430\u043d\u0430\u043b\u043e\u0432 \u0432 \n\u0441\u0444\u0435\u0440\u0435  \u201c\u041a\u0430\u0440\u044c\u0435\u0440\u0430 \u0438 \u0424\u0440\u0438\u043b\u0430\u043d\u0441\u201d \ud83d\udd25\n\n\u0422\u0443\u0442 \u0432\u044b \u0442\u043e\u0447\u043d\u043e \u043d\u0430\u0439\u0434\u0435\u0442\u0435 \u043e\u0442\u0432\u0435\u0442\u044b \u043d\u0430 \u043c\u043d\u043e\u0433\u0438\u0435 \u0441\u0432\u043e\u0438 \u0432\u043e\u043f\u0440\u043e\u0441\u044b.  \u0410 \u0433\u043b\u0430\u0432\u043d\u043e\u0435 - \u0432\u0430\u043c \u043d\u0435 \u043f\u0440\u0438\u0434\u0435\u0442\u0441\u044f, \u0442\u0440\u0430\u0442\u0438\u0442\u044c \u043d\u0430 \u043f\u043e\u0438\u0441\u043a\u0438 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0447\u0430\u0441\u043e\u0432 \ud83d\ude0a \ud83d\udc47\n\n\u041f\u043e\u044d\u0442\u043e\u043c\u0443 \u043f\u0435\u0440\u0435\u0445\u043e\u0434\u0438\u0442\u0435, \u043f\u043e\u0434\u043f\u0438\u0441\u044b\u0432\u0430\u0439\u0442\u0435\u0441\u044c \u0438 \u043f\u043e\u043b\u044c\u0437\u0443\u0439\u0442\u0435\u0441\u044c \u043d\u0430 \u0437\u0434\u043e\u0440\u043e\u0432\u044c\u0435 \ud83d\udcc2\ud83d\ude09 \n\n\u0425\u043e\u0442\u0438\u0442\u0435 \u043f\u043e\u0434\u0431\u043e\u0440\u043a\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>>>\u041a\u043e\u043d\u0435\u0447\u043d\u043e! \u0415\u0441\u043b\u0438 \u0432\u0430\u043c \u043d\u0443\u0436\u043d\u0430 \u043f\u043e\u0434\u0431\u043e\u0440\u043a\u0430 \u043a\u0430\u043d\u0430\u043b\u043e\u0432 \u0432 \u0441\u0444\u0435\u0440\u0435 \"\u041a\u0430\u0440\u044c\u0435\u0440\u0430 \u0438 \u0424\u0440\u0438\u043b\u0430\u043d\u0441\", \u043f\u0440\u043e\u0441\u0442\u043e \u0434\u0430\u0439\u0442\u0435 \u0437\u043d\u0430\u0442\u044c, \u0438 \u044f \u0441 \u0440\u0430\u0434\u043e\u0441\u0442\u044c\u044e \u043f\u043e\u043c\u043e\u0433\u0443 \u0432\u0430\u043c \u0441 \u044d\u0442\u0438\u043c! \ud83d\ude0a<<<\nAssistant:"},{"assistant_initiates":false,"asst_text":"False","behavior":"degenerate_repetition","conversation_hash":"8043820f574f16bdf74e9e38207d2218","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":907,"n_turns_in_conversation":1,"n_words":135,"source_row_offset":31776,"source_shard":"turns-00049.parquet","timestamp":"Sun, 10 Nov 2024 20:17:12 GMT","turn_id":"7ce2b2e2405373131fe05af9","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: \u042f \u0437\u043d\u0430\u044e, \u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0432\u0440\u0435\u043c\u0435\u043d\u0438 \u043c\u043e\u0436\u0435\u0442 \u0443\u0439\u0442\u0438 \u043d\u0430 \u043f\u043e\u0438\u0441\u043a \u043d\u0443\u0436\u043d\u043e\u0439 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438 \u0432 Telegram, \u043f\u043e\u044d\u0442\u043e\u043c\u0443 \u0440\u0435\u0433\u0443\u043b\u044f\u0440\u043d\u043e \u0434\u0435\u043b\u044e\u0441\u044c \u043f\u043e\u043b\u0435\u0437\u043d\u044b\u043c\u0438 \u0441\u0441\u044b\u043b\u043a\u0430\u043c\u0438. \n\n\u0421\u0435\u0433\u043e\u0434\u043d\u044f \u043f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u0438\u043b\u0438 \u0434\u043b\u044f \u0432\u0430\u0441 \u0446\u0435\u043b\u0443\u044e \u043f\u043e\u0434\u0431\u043e\u0440\u043a\u0443 \u043a\u0430\u043d\u0430\u043b\u043e\u0432 \u0432 \n\u0441\u0444\u0435\u0440\u0435  \u201c\u041a\u0430\u0440\u044c\u0435\u0440\u0430 \u0438 \u0424\u0440\u0438\u043b\u0430\u043d\u0441\u201d \ud83d\udd25\n\n\u0422\u0443\u0442 \u0432\u044b \u0442\u043e\u0447\u043d\u043e \u043d\u0430\u0439\u0434\u0435\u0442\u0435 \u043e\u0442\u0432\u0435\u0442\u044b \u043d\u0430 \u043c\u043d\u043e\u0433\u0438\u0435 \u0441\u0432\u043e\u0438 \u0432\u043e\u043f\u0440\u043e\u0441\u044b.  \u0410 \u0433\u043b\u0430\u0432\u043d\u043e\u0435 - \u0432\u0430\u043c \u043d\u0435 \u043f\u0440\u0438\u0434\u0435\u0442\u0441\u044f, \u0442\u0440\u0430\u0442\u0438\u0442\u044c \u043d\u0430 \u043f\u043e\u0438\u0441\u043a\u0438 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0447\u0430\u0441\u043e\u0432 \ud83d\ude0a \ud83d\udc47\n\n\u041f\u043e\u044d\u0442\u043e\u043c\u0443 \u043f\u0435\u0440\u0435\u0445\u043e\u0434\u0438\u0442\u0435, \u043f\u043e\u0434\u043f\u0438\u0441\u044b\u0432\u0430\u0439\u0442\u0435\u0441\u044c \u0438 \u043f\u043e\u043b\u044c\u0437\u0443\u0439\u0442\u0435\u0441\u044c \u043d\u0430 \u0437\u0434\u043e\u0440\u043e\u0432\u044c\u0435 \ud83d\udcc2\ud83d\ude09 \n\n\u0425\u043e\u0442\u0438\u0442\u0435 \u043f\u043e\u0434\u0431\u043e\u0440\u043a\u0443?\nAssistant:"}],"shard":{"index":49,"name":"turns-00049.parquet","rows":41885}}