{"behavior":"degenerate_repetition","label_filter":null,"limit":10,"next_offset":5104,"offset":5094,"previous_offset":null,"rows":[{"assistant_initiates":false,"asst_text":"\u6458\u8981\u2014\u2014\u8fd1\u5e74\u6765\uff0c\u6210\u50cf\u9006\u95ee\u9898\u4e2d\u7684\u4e0d\u786e\u5b9a\u6027\u91cf\u5316\u5f15\u8d77\u4e86\u5e7f\u6cdb\u5173\u6ce8\u3002\u73b0\u6709\u7684\u65b9\u6cd5\u5728\u8fd9\u9879\u4efb\u52a1\u4e2d\u5f80\u5f80\u662f\u57fa\u4e8e\u6bcf\u4e2a\u50cf\u7d20\u7684\u53ef\u80fd\u503c\u6765\u5b9a\u4e49\u4e0d\u786e\u5b9a\u6027\u533a\u57df\uff0c\u800c\u5ffd\u7565\u4e86\u56fe\u50cf\u4e2d\u7684\u7a7a\u95f4\u76f8\u5173\u6027\uff0c\u5bfc\u81f4\u4e0d\u786e\u5b9a\u6027\u533a\u57df\u7684\u4f53\u79ef\u88ab\u5938\u5927\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u63d0\u51fa\u4e86PUQ\uff08Principal Uncertainty Quantification\uff09\u2014\u2014\u4e00\u79cd\u65b0\u7684\u5b9a\u4e49\u548c\u5bf9\u5e94\u7684\u4e0d\u786e\u5b9a\u6027\u533a\u57df\u5206\u6790\uff0c\u8003\u8651\u4e86\u56fe\u50cf\u5185\u7684\u7a7a\u95f4\u5173\u7cfb\uff0c\u4ece\u800c\u63d0\u4f9b\u4f53\u79ef\u8f83\u5c0f\u7684\u533a\u57df\u3002\u5229\u7528\u968f\u673a\u751f\u6210\u6a21\u578b\u7684\u6700\u65b0\u8fdb\u5c55\uff0c\u6211\u4eec\u5728\u7ecf\u9a8c\u540e\u9a8c\u5206\u5e03\u7684\u4e3b\u6210\u5206\u5468\u56f4\u63a8\u5bfc\u51fa\u4e0d\u786e\u5b9a\u6027\u533a\u95f4\uff0c\u5f62\u6210\u4e00\u4e2a\u6a21\u7cca\u533a\uff0c\u4fdd\u8bc1\u4ee5\u7528\u6237\u7684\u7f6e\u4fe1\u6982\u7387\u5305\u542b\u771f\u5b9e\u7684\u672a\u89c1\u503c\u3002\u4e3a\u4e86\u63d0\u9ad8\u8ba1\u7b97\u6548\u7387\u548c\u53ef\u89e3\u91ca\u6027\uff0c\u6211\u4eec\u8fd8\u4fdd\u8bc1\u4ec5\u4f7f\u7528\u5c11\u6570\u4e3b\u65b9\u5411\u6765\u6062\u590d\u771f\u5b9e\u7684\u672a\u89c1\u503c\uff0c\u4ece\u800c\u6700\u7ec8\u5f97\u5230\u66f4\u5177\u4fe1\u606f\u7684\u4e0d\u786e\u5b9a\u6027\u533a\u57df\u3002\u6211\u4eec\u7684\u65b9\u6cd5\u901a\u8fc7\u56fe\u50cf\u4e0a\u8272\u3001\u8d85\u5206\u8fa8\u7387\u548c\u56fe\u50cf\u4fee\u590d\u5b9e\u9a8c\u8fdb\u884c\u9a8c\u8bc1\uff0c\u5176\u6709\u6548\u6027\u901a\u8fc7\u4e0e\u57fa\u7ebf\u65b9\u6cd5\u7684\u6bd4\u8f83\u5f97\u5230\u4e86\u8bc1\u660e\uff0c\u663e\u793a\u51fa\u663e\u8457\u66f4\u7d27\u51d1\u7684\u4e0d\u786e\u5b9a\u6027\u533a\u57df\u3002\n\n\u5173\u952e\u8bcd\u2014\u2014\u4e0d\u786e\u5b9a\u6027\u4e0e\u6982\u7387\u63a8\u7406\uff0c\u6982\u7387\u4e0e\u7edf\u8ba1\uff0c\u56fe\u50cf\u6062\u590d\uff0c\u9006\u95ee\u9898\uff0c\u968f\u673a\u8fc7\u7a0b\uff0c\u76f8\u5173\u6027\u4e0e\u56de\u5f52\u5206\u6790\u3002\n\nVI. \u7ed3\u8bba\n\u672c\u6587\u63d0\u51fa\u4e86\u201c\u4e3b\u4e0d\u786e\u5b9a\u6027\u91cf\u5316\u201d\uff08PUQ\uff09\uff0c\u8fd9\u662f\u4e00\u79cd\u65b0\u9896\u4e14\u6709\u6548\u7684\u91cf\u5316\u56fe\u50cf\u4efb\u52a1\u4e2d\u4e0d\u786e\u5b9a\u6027\u7684\u65b9\u6cd5\u3002PUQ\u8003\u8651\u4e86\u50cf\u7d20\u4e4b\u95f4\u7684\u7a7a\u95f4\u4f9d\u8d56\u6027\uff0c\u4ee5\u5b9e\u73b0\u663e\u8457\u66f4\u7d27\u51d1\u7684\u4e0d\u786e\u5b9a\u6027\u533a\u57df\u3002\u6211\u4eec\u5f15\u5165\u4e86\u4e24\u79cd\u4e0d\u786e\u5b9a\u6027\u8bc4\u4f30\u7a0b\u5e8f\uff0c\u7528\u6237\u53ef\u4ee5\u6839\u636e\u504f\u597d\u5728\u7cbe\u5ea6\u548c\u590d\u6742\u6027\u4e4b\u95f4\u8fdb\u884c\u9009\u62e9\u3002\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u5728\u56fe\u50cf\u4e0a\u8272\u3001\u8d85\u5206\u8fa8\u7387\u548c\u56fe\u50cf\u4fee\u590d\u4e2d\uff0cPUQ\u901a\u8fc7\u6539\u5584\u4e0d\u786e\u5b9a\u6027\u4f53\u79ef\u4f18\u4e8e\u73b0\u6709\u65b9\u6cd5\u3002\u6b64\u5916\uff0c\u901a\u8fc7\u5141\u8bb8\u5728\u6062\u590d\u771f\u5b9e\u56fe\u50cf\u65f6\u6709\u5c0f\u7684\u91cd\u5efa\u8bef\u5dee\uff0cPUQ\u4ee5\u5c11\u6570\u8f74\u4ea7\u751f\u7d27\u51d1\u7684\u4e0d\u786e\u5b9a\u6027\u533a\u57df\uff0c\u4ece\u800c\u6539\u5584\u4e86\u63a8\u7406\u65f6\u7684\u8ba1\u7b97\u590d\u6742\u6027\u548c\u53ef\u89e3\u91ca\u6027\u3002\u56e0\u6b64\uff0cPUQ\u5728\u56fe\u50cf\u5230\u56fe\u50cf\u95ee\u9898\u4e2d\u7684\u4e0d\u786e\u5b9a\u6027\u91cf\u5316\u4e2d\u5b9e\u73b0\u4e86\u6700\u5148\u8fdb\u7684\u6027\u80fd\u3002\n\n\u5173\u4e8e\u672a\u6765\u7684\u7814\u7a76\uff0c\u53ef\u4ee5\u63a2\u7d22\u4f9d\u8d56\u4e8e\u968f\u673a\u56fe\u50cf\u56de\u5f52\u6a21\u578b\u7684\u6700\u65b0\u8fdb\u5c55\u7684\u66f4\u590d\u6742\u9009\u62e9\uff0c\u4ee5\u6539\u8fdb\u6211\u4eec\u63d0\u51fa\u7684\u8fd1\u4f3c\u9636\u6bb5\u7684\u590d\u6742\u6027\u3002\u6b64\u5916\uff0c\u7814\u7a76\u4e0d\u786e\u5b9a\u6027\u533a\u57df\u7684\u66ff\u4ee3\u51e0\u4f55\u5f62\u72b6\u53ef\u80fd\u4f1a\u6709\u8da3\uff0c\u4ee5\u8fdb\u4e00\u6b65\u7f29\u5c0f\u63d0\u4f9b\u7684\u4e0d\u786e\u5b9a\u6027\u533a\u57df\u4e0e\u771f\u5b9e\u540e\u9a8c\u5206\u5e03\u7684\u9ad8\u5bc6\u5ea6\u533a\u57df\u4e4b\u95f4\u7684\u5dee\u8ddd\u3002\u8fd9\u5305\u62ec\u5c06\u7a7a\u95f4\u57df\u5212\u5206\u4e3a\u6709\u610f\u4e49\u7684\u7247\u6bb5\uff0c\u540c\u65f6\u6700\u5c0f\u5316\u4e0d\u786e\u5b9a\u6027\u4f53\u79ef\uff0c\u6216\u8003\u8651\u4f30\u8ba1\u540e\u9a8c\u5206\u5e03\u6837\u672c\u7684\u9ad8\u65af\u6df7\u5408\u5efa\u6a21\u3002","behavior":"degenerate_repetition","conversation_hash":"7d9e2061861aa9a456a3a498c94279c8","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":4111,"n_turns_in_conversation":3,"n_words":430,"source_row_offset":5094,"source_shard":"turns-00051.parquet","timestamp":"Wed, 13 Nov 2024 06:52:52 GMT","turn_id":"1ca02a903c169cfd7b9f0610","turn_index":2,"user_text":"Abstract\u2014Uncertainty quantification for inverse problems in imaging has drawn much attention lately. Existing approaches to wards this task define uncertainty regions based on probable val ues per pixel, while ignoring spatial correlations within the image, resulting in an exaggerated volume of uncertainty. In this paper, we propose PUQ (Principal Uncertainty Quantification)\u2013 a novel definition and corresponding analysis of uncertainty regions that takes into account spatial relationships within the image, thus providing reduced volume regions. Using recent advancements in stochastic generative models, we derive uncertainty intervals around principal components of the empirical posterior distribu tion, forming an ambiguity region that guarantees the inclusion of true unseen values with a user confidence probability. To improve computational efficiency and interpretability, we also guarantee the recovery of true unseen values using only a few principal directions, resulting in ultimately more informative uncertainty regions. Our approach is verified through experiments on image colorization, super-resolution, and inpainting; its effectiveness is shown through comparison to baseline methods, demonstrating significantly tighter uncertainty regions. Index Terms\u2014Uncertainty and probabilistic reasoning, Prob ability and Statistics, Restoration, Inverse problems, Stochastic processes, Correlation and regression analysis.\n\nIndex Terms\u2014Uncertainty and probabilistic reasoning, Prob ability and Statistics, Restoration, Inverse problems, Stochastic processes, Correlation and regression analysis.\n\nVI. CONCLUDING REMARKS \nThis paper presents \u201cPrincipal Uncertainty Quantification\u201d (PUQ), a novel and effective approach for quantifying un certainty in any image-to-image task. PUQ takes into account the spatial dependencies between pixels in order to achieve significantly tighter uncertainty regions. We introduced two different procedures for uncertainty assessment, which are selected based on the user\u2019s preference for balancing precision and complexity. The experimental results demonstrate that PUQ outperforms existing methods in image colorization, super-resolution and inpainting, by improving the uncertainty volume. Additionally, by allowing for a small reconstruction error when recovering ground-truth images, PUQ produces tight uncertainty regions with a few axes and thus improves computational complexity and interpretability at inference. As a result, PUQ achieves state-of-the-art performance in uncertainty quantification for image-to-image problems. \n\nReferring to future research, more sophisticated choices that rely on recent advancements in stochastic image regression models could be explored, so as to improve the complexity of our proposed approximation phase. Additionally, investigating alternative geometries for uncertainty regions could be inter esting in order to further reduce the gap between the provided region of uncertainty and the high-density areas of the true posterior distribution. This includes an option to divide the spatial domain into meaningful segments, while minimizing the uncertainty volume, or consider a mixture of Gaussians modeling of the samples of the estimated posterior distribution.\n\u8bf7\u7ffb\u8bd1\u4e3a\u4e2d\u6587\u3002"},{"assistant_initiates":false,"asst_text":"Monday - Friday | Timeframe | Days of the week relevant for financial market operations and corporate announcements.  \n6:00 - 7:00 PM ET | Timeframe | Specific time period, indicating when financial programs or announcements are made.  \nCNBC | Media Outlet | Financial news channel providing market analysis and commentary, influential among investors and market participants.  \nJim Cramer | Financial Analyst | TV host and financial analyst known for providing investment advice and market commentary.  \ncorporate earnings reports | Financial Reports | Periodic reports released by companies detailing financial performance, critical for investor analysis.  \n\"Mad Money\" | TV Show | Financial television program hosted by Jim Cramer, focusing on stock market investment advice.  \nnext week | Timeframe | Refers to the upcoming week, indicating future events or announcements impacting financial markets.  \nnegativity | Market Sentiment | Negative investor sentiment or market reaction, often influencing stock prices and investment decisions.  \nbuying opportunities | Investment Strategy | Opportunities to purchase assets at favorable prices, potentially leading to investment gains.  \nstock market | Financial Market | Platform for buying and selling stocks, influencing economic and investment activities.  \nearnings season | Financial Term | Period when a majority of public companies release quarterly earnings reports, impacting stock valuations.  \ninvestors | Stakeholders | Individuals or entities that allocate capital to assets with the expectation of financial return.  \nquarterly results | Financial Term | Results reported by companies every three months, providing insights into financial health and performance.  \nmarket players | Market Participants | Individuals or institutions actively participating in financial markets through trading or investment.","behavior":"degenerate_repetition","conversation_hash":"768ce5c4c29435174da41b5450eb0de2","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":6186,"n_turns_in_conversation":1,"n_words":908,"source_row_offset":5095,"source_shard":"turns-00051.parquet","timestamp":"Wed, 13 Nov 2024 06:52:53 GMT","turn_id":"0bbfe8170919a081986e5342","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: KEY POINTS: Monday - Friday, 6:00 - 7:00 PM ET CNBC's Jim Cramer previewed corporate earnings reports circled on his calendar next week. \"There will be reports next week that are met with negativity and not all of them will be genuinely bad, so I'm urging you to take advantage of that weakness,\" the \"Mad Money\" host said. \"As we head into the next five days of earnings, you need to think about what gets crushed as much as what is working because this market's creating some unbelievable buying opportunities,\" Cramer said. CNBC's Jim Cramer said Friday that investors should be ready to find buying opportunities in the stock market with earnings season in full swing. When companies report quarterly results, market players digest numbers quickly and Wall\nAssistant:"},{"assistant_initiates":false,"asst_text":"Citibank | Company | Major financial institution offering banking and financial services globally, involved in card reissuing due to a data breach.\ndebit cards | Financial Instrument | Payment cards linked to customers' bank accounts, used for transactions.\ndata breach | Security Incident | Unauthorized access to confidential data, often leading to financial and privacy risks.\nTarget | Company | Major retail corporation whose systems were hacked, causing a significant data breach incident.\nbank | Financial Institution | Organizations providing financial services and playing a critical role in the economy.\nholiday shopping season | Economic Period | Time of increased consumer spending, significant for retail and financial transactions.\nperson briefed on the company's decision | Informant | Source providing insider information on corporate decisions, often undisclosed.\nJPMorgan | Company | Large global financial services firm that imposed limits on debit card usage amid security concerns.\n40 million customers | Affected Group | Large number of individuals impacted by the Target data breach, illustrating the scale of the incident.\nin-store network | System | Retail infrastructure vulnerable to cyber-attacks, relevant in the context of the data breach.\npersonal data | Sensitive Information | Private customer information exposed during the data breach, increasing identity theft risks.\nsystems | Technical Infrastructure | Electronic or digital frameworks within an organization, critical in data breaches and security management.","behavior":"degenerate_repetition","conversation_hash":"56dc0e590613a25efa0c8d8399215292","conversation_redacted":false,"conversation_toxic":false,"country":"Malta","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":5866,"n_turns_in_conversation":1,"n_words":871,"source_row_offset":5096,"source_shard":"turns-00051.parquet","timestamp":"Wed, 13 Nov 2024 06:52:54 GMT","turn_id":"00ba28ca01eb576fe5336950","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: Citibank plans to reissue all customer debit cards involved in the data breach at Target , making it the second major bank to do so since the attack was disclosed last month. The bank did not replace the debit cards sooner because it wanted to minimize disruptions during the holiday shopping season, according to a person briefed on the company's decision who spoke on the condition of anonymity. It will begin sending out new cards soon. ( Read more : JPMorgan limits debit cards used at Target ) Target initially said that card information from 40 million customers was stolen between late November and mid-December when its in-store network was hacked. Last week, the company revised its damage estimate to include other systems, which stored the personal data\nAssistant:"},{"assistant_initiates":false,"asst_text":"```json\n{\n    \"QA_pairs\": [\n        {\n            \"###C\u00e2u h\u1ecfi:\": \"C\u00e1c virus n\u00e0o \u0111\u00e3 \u0111\u01b0\u1ee3c ki\u1ec3m tra tr\u00ean \u0111\u1ed9ng v\u1eadt t\u1ea1i c\u00e1c v\u01b0\u1eddn th\u00fa \u1edf Th\u1ed5 Nh\u0129 K\u1ef3?\",\n            \"###Suy lu\u1eadn:\": \"Theo ng\u1eef c\u1ea3nh, c\u00e1c virus \u0111\u01b0\u1ee3c ki\u1ec3m tra tr\u00ean \u0111\u1ed9ng v\u1eadt t\u1ea1i c\u00e1c v\u01b0\u1eddn th\u00fa g\u1ed3m virus BVD (bovine viral diarrhea virus), BHV (bovine herpesvirus), adenovirus b\u00f2 (bovine adenovirus), parainfluenza virus (PI), virus l\u01b0\u1ee1i xanh (BTV), v\u00e0 virus s\u1ed1t catarrhal \u00e1c t\u00ednh (MCF). ###begin_context###Kh\u00e1ng th\u1ec3 ch\u1ed1ng l\u1ea1i virus BVD bvdv BHV bhv bovine adenovirus bav v\u00e0 parainfluenzavirus pi v\u00e0 vi-r\u00fat l\u01b0\u1ee1i xanh btv v\u00e0 \u0111\u00e3 \u0111\u01b0\u1ee3c nghi\u00ean c\u1ee9u b\u1eb1ng c\u00e1ch s\u1eed d\u1ee5ng VNT v\u00e0 kh\u00e1ng th\u1ec3 mcf s\u1ed1t catarrhal \u00e1c t\u00ednh \u0111\u00e3 \u0111\u01b0\u1ee3c s\u00e0ng l\u1ecdc b\u1edfi elisa.###end_context###\",\n            \"###C\u00e2u tr\u1ea3 l\u1eddi:\": \"C\u00e1c virus \u0111\u01b0\u1ee3c ki\u1ec3m tra tr\u00ean \u0111\u1ed9ng v\u1eadt g\u1ed3m virus BVD, BHV, adenovirus b\u00f2, parainfluenza virus, virus l\u01b0\u1ee1i xanh (BTV), v\u00e0 virus s\u1ed1t catarrhal \u00e1c t\u00ednh (MCF).\"\n        },\n        {\n            \"###C\u00e2u h\u1ecfi:\": \"Lo\u1ea1i kh\u00e1ng th\u1ec3 n\u00e0o ph\u1ed5 bi\u1ebfn nh\u1ea5t \u1edf c\u1eebu v\u00e0 d\u00ea t\u1ea1i v\u01b0\u1eddn th\u00fa?\",\n            \"###Suy lu\u1eadn:\": \"Trong s\u1ed1 c\u00e1c lo\u00e0i \u0111\u01b0\u1ee3c kh\u1ea3o s\u00e1t, kh\u00e1ng th\u1ec3 MCF \u0111\u01b0\u1ee3c ph\u00e1t hi\u1ec7n l\u00e0 ph\u1ed5 bi\u1ebfn nh\u1ea5t \u1edf c\u1eebu v\u00e0 d\u00ea. Ngo\u00e0i ra, t\u1ef7 l\u1ec7 kh\u00e1ng th\u1ec3 \u0111\u1ed1i v\u1edbi BRSV v\u00e0 MCF \u1edf d\u00ea c\u00f2n cao h\u01a1n \u0111\u00e1ng k\u1ec3 so v\u1edbi c\u1eebu. ###begin_context###T\u1ef7 l\u1ec7 huy\u1ebft thanh c\u1ee7a bav bav pi brsv bt bt v\u00e0 mcf \u0111\u00e3 \u0111\u01b0\u1ee3c ph\u00e1t hi\u1ec7n nh\u01b0 sau v\u00e0 t\u1ef7 l\u1ec7 huy\u1ebft thanh t\u01b0\u01a1ng \u1ee9ng c\u1ee7a bavs v\u00e0 mcf ph\u1ed5 bi\u1ebfn h\u01a1n t\u1ea5t c\u1ea3 c\u00e1c lo\u1ea1i virus kh\u00e1c p 10 d\u00ea c\u1eebu v\u00e0 ilama l\u00e0 lo\u00e0i duy nh\u1ea5t d\u01b0\u01a1ng t\u00ednh v\u1edbi kh\u00e1ng th\u1ec3 mcf. T\u1ef7 l\u1ec7 kh\u00e1ng th\u1ec3 brsv v\u00e0 mcf \u1edf d\u00ea cao h\u01a1n \u0111\u00e1ng k\u1ec3 so v\u1edbi c\u1eebu.###end_context###\",\n            \"###C\u00e2u tr\u1ea3 l\u1eddi:\": \"Kh\u00e1ng th\u1ec3 MCF l\u00e0 ph\u1ed5 bi\u1ebfn nh\u1ea5t, v\u1edbi t\u1ef7 l\u1ec7 cao h\u01a1n \u0111\u00e1ng k\u1ec3 \u1edf d\u00ea so v\u1edbi c\u1eebu.\"\n        },\n        {\n            \"###C\u00e2u h\u1ecfi:\": \"C\u1eebu Cameroon v\u00e0 d\u00ea n\u00fai c\u00f3 nguy c\u01a1 m\u1eafc b\u1ec7nh n\u00e0o trong nh\u1eefng \u0111i\u1ec1u ki\u1ec7n t\u1ea1i v\u01b0\u1eddn th\u00fa?\",\n            \"###Suy lu\u1eadn:\": \"Kh\u00e1ng th\u1ec3 BTV \u0111\u00e3 \u0111\u01b0\u1ee3c ph\u00e1t hi\u1ec7n \u1edf c\u1ea3 c\u1eebu Cameroon v\u00e0 d\u00ea n\u00fai, \u0111i\u1ec1u n\u00e0y cho th\u1ea5y r\u1eb1ng nh\u1eefng lo\u00e0i n\u00e0y c\u00f3 nguy c\u01a1 m\u1eafc b\u1ec7nh li\u00ean quan \u0111\u1ebfn virus l\u01b0\u1ee1i xanh. ###begin_context###Kh\u00e1ng th\u1ec3 btv \u0111\u00e3 \u0111\u01b0\u1ee3c ph\u00e1t hi\u1ec7n \u1edf c\u1ea3 c\u1eebu Cameroon v\u00e0 d\u00ea n\u00fai v\u00e0 cho th\u1ea5y \u0111\u1ed9ng v\u1eadt trong v\u01b0\u1eddn th\u00fa c\u00f3 nguy c\u01a1 m\u1eafc b\u1ec7nh btv \u1edf c\u00e1c v\u00f9ng l\u01b0u h\u00e0nh b\u1ec7nh.###end_context###\",\n            \"###C\u00e2u tr\u1ea3 l\u1eddi:\": \"C\u1eebu Cameroon v\u00e0 d\u00ea n\u00fai c\u00f3 nguy c\u01a1 m\u1eafc b\u1ec7nh BTV (virus l\u01b0\u1ee1i xanh) trong \u0111i\u1ec1u ki\u1ec7n t\u1ea1i v\u01b0\u1eddn th\u00fa.\"\n        }\n    ]\n}\n```","behavior":"degenerate_repetition","conversation_hash":"4cee03085b27baee53e0578b0fb53bde","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":"Vietnamese","model":"gpt-4o-2024-08-06","n_chars":9794,"n_turns_in_conversation":1,"n_words":1998,"source_row_offset":5097,"source_shard":"turns-00051.parquet","timestamp":"Wed, 13 Nov 2024 06:52:54 GMT","turn_id":"932bad5e542afa5750d41fce","turn_index":0,"user_text":"B\u1ea1n s\u1ebd nh\u1eadn \u0111\u01b0\u1ee3c m\u1ed9t \u0111o\u1ea1n ng\u1eef c\u1ea3nh m\u00f4 t\u1ea3 m\u1ed9t s\u1ef1 ki\u1ec7n ho\u1eb7c kh\u00e1i ni\u1ec7m c\u1ee5 th\u1ec3. D\u1ef1a tr\u00ean ng\u1eef c\u1ea3nh, h\u00e3y t\u1ea1o ra 3 c\u1eb7p c\u00e2u h\u1ecfi v\u00e0 c\u00e2u tr\u1ea3 l\u1eddi \u0111i k\u00e8m. H\u00e3y \u0111\u1ea3m b\u1ea3o r\u1eb1ng c\u00e2u tr\u1ea3 l\u1eddi c\u00f3 s\u1ef1 gi\u1ea3i th\u00edch t\u1eebng b\u01b0\u1edbc ho\u1eb7c m\u00f4 t\u1ea3 chi ti\u1ebft (Chain of Thought) \u0111\u1ec3 ng\u01b0\u1eddi \u0111\u1ecdc hi\u1ec3u r\u00f5 h\u01a1n v\u1ec1 n\u1ed9i dung c\u00e2u tr\u1ea3 l\u1eddi.\n    Y\u00eau c\u1ea7u: T\u1ea1o 3 c\u1eb7p c\u00e2u h\u1ecfi v\u00e0 c\u00e2u tr\u1ea3 l\u1eddi. H\u00e3y l\u01b0u \u00fd cung c\u1ea5p c\u00e2u tr\u1ea3 l\u1eddi theo t\u1eebng b\u01b0\u1edbc suy lu\u1eadn, ho\u1eb7c \u0111\u01b0a ra c\u00e1c y\u1ebfu t\u1ed1 gi\u1ea3i th\u00edch r\u00f5 r\u00e0ng li\u00ean quan \u0111\u1ebfn c\u00e2u tr\u1ea3 l\u1eddi (Chain of Thought). B\u01b0\u1edbc suy lu\u1eadn s\u1ebd l\u1ea5y th\u00f4ng tin tr\u1ef1c ti\u1ebfp t\u1eeb ng\u1eef c\u1ea3nh, th\u00f4ng tin \u0111\u01b0\u1ee3c l\u1ea5y t\u1eeb ng\u1eef c\u1ea3nh s\u1ebd \u0111\u01b0\u1ee3c b\u1ecf v\u00e0o 2 tag \u0111\u1eb7c bi\u1ec7t ###begin_context### v\u00e0 ###end_context###. C\u00e2u tr\u1ea3 l\u1eddi s\u1ebd \u1edf d\u1ea1ng ng\u1eafn g\u1ecdn, s\u00fac t\u00edch.\n\n    C\u00e2u h\u1ecfi \u0111\u01b0\u1ee3c b\u1ecf v\u00e0o tag ###C\u00e2u h\u1ecfi:\n    Suy lu\u1eadn \u0111\u01b0\u1ee3c b\u1ecf v\u00e0o tag ###Suy lu\u1eadn:\n    C\u00e2u tr\u1ea3 l\u1eddi \u0111\u01b0\u1ee3c b\u1ecf v\u00e0o tag \u0111\u1eb7c bi\u1ec7t ###C\u00e2u tr\u1ea3 l\u1eddi:\n    Suy lu\u1eadn b\u1eaft bu\u1ed9c ph\u1ea3i tr\u00edch xu\u1ea5t th\u00f4ng tin t\u1eeb ng\u1eef c\u1ea3nh v\u00e0 d\u00f9ng ###begin_context### v\u00e0 ###end_context### \u0111\u1ec3 \u0111\u00e1nh d\u1ea5u th\u00f4ng tin \u0111\u01b0\u1ee3c tr\u00edch xu\u1ea5t.\n\n    N\u1ebfu ng\u1eef c\u1ea3nh kh\u00f4ng c\u00f3 \u00fd ngh\u0129a, b\u1ea1n h\u00e3y output \"Ng\u1eef c\u1ea3nh kh\u00f4ng gi\u00e1 tr\u1ecb\".\n    Tr\u1ea3 l\u1eddi b\u1eb1ng ti\u1ebfng Vi\u1ec7t.\n    Tr\u1ea3 cho t\u00f4i output d\u01b0\u1edbi d\u1ea1ng json \u0111\u1ec3 c\u00f3 th\u1ec3 tr\u00edch xu\u1ea5t m\u1ed9t c\u00e1ch d\u1ec5 d\u00e0ng.\n\n    V\u00ed d\u1ee5:\n    ###Ng\u1eef c\u1ea3nh: T\u00ecm hi\u1ec3u v\u1ec1 nguy\u00ean nh\u00e2n, tri\u1ec7u ch\u1ee9ng v\u00e0 c\u00e1c ph\u01b0\u01a1ng ph\u00e1p ch\u1eefa h\u1edf mi m\u1eaft\nKh\u00f4ng ch\u1ec9 mang t\u00ednh th\u1ea9m m\u1ef9, mi m\u1eaft c\u00f2n c\u00f3 t\u00e1c d\u1ee5ng b\u1ea3o v\u1ec7 \u0111\u00f4i m\u1eaft kh\u1ecfi c\u00e1c y\u1ebfu t\u1ed1 b\u00ean ngo\u00e0i. N\u1ebfu b\u1ed9 ph\u1eadn n\u00e0y kh\u00f4ng th\u1ec3 \u0111\u00f3ng k\u00edn ho\u00e0n to\u00e0n th\u00ec ho\u1ea1t \u0111\u1ed9ng c\u1ee7a m\u1eaft c\u00f3 th\u1ec3 b\u1ecb \u1ea3nh h\u01b0\u1edfng. V\u1eady, b\u1ea1n n\u00ean l\u00e0m g\u00ec \u0111\u1ec3 ch\u1eefa h\u1edf mi m\u1eaft? H\u00e3y c\u00f9ng ch\u00fang t\u00f4i theo d\u00f5i b\u00e0i vi\u1ebft d\u01b0\u1edbi \u0111\u00e2y \u0111\u1ec3 t\u00ecm hi\u1ec3u m\u1ed9t c\u00e1ch chi ti\u1ebft v\u1ec1 nguy\u00ean nh\u00e2n, tri\u1ec7u ch\u1ee9ng v\u00e0 c\u00e1c gi\u1ea3i ph\u00e1p kh\u1eafc ph\u1ee5c t\u00ecnh tr\u1ea1ng n\u00e0y nh\u00e9!\n1. H\u1edf mi m\u1eaft l\u00e0 g\u00ec?\n\u0110\u00f4i m\u1eaft l\u00e0 c\u1eeda s\u1ed5 t\u00e2m h\u1ed3n, l\u00e0 c\u01a1 quan ti\u1ebfp nh\u1eadn \u00e1nh s\u00e1ng gi\u00fap con ng\u01b0\u1eddi nh\u00ecn th\u1ea5y m\u1ecdi v\u1eadt xung quanh. Tuy nhi\u00ean, c\u01a1 quan n\u00e0y r\u1ea5t nh\u1ea1y c\u1ea3m v\u00e0 d\u1ec5 b\u1ecb t\u1ed5n th\u01b0\u01a1ng b\u1edfi c\u00e1c t\u00e1c \u0111\u1ed9ng c\u1ee7a m\u00f4i tr\u01b0\u1eddng. Do \u0111\u00f3, c\u00e1c th\u00e0nh ph\u1ea7n b\u00ean trong m\u1eaft nh\u1ea5t l\u00e0 gi\u00e1c m\u1ea1c c\u1ea7n \u0111\u01b0\u1ee3c b\u1ea3o v\u1ec7 v\u00e0 che ch\u1edf b\u1edfi c\u00e1c b\u1ed9 ph\u1eadn kh\u00e1c nh\u01b0: l\u00f4ng m\u00e0y, l\u00f4ng mi,\u2026\n\u0110\u1eb7c bi\u1ec7t, mi m\u1eaft c\u00f3 th\u1ec3 t\u1ef1 \u0111\u1ed9ng \u0111\u00f3ng k\u00edn nh\u1eb1m ng\u0103n ch\u1eb7n b\u1ee5i b\u1ea9n, c\u00e1c v\u1eadt l\u1ea1 bay v\u00e0o. \u0110\u1ed3ng th\u1eddi th\u00f4ng qua ph\u1ea3n x\u1ea1 ch\u1edbp mi li\u00ean t\u1ee5c, tuy\u1ebfn l\u1ec7 s\u1ebd \u0111i\u1ec1u ti\u1ebft n\u01b0\u1edbc m\u1eaft v\u00e0 d\u00e0n \u0111\u1ec1u kh\u1eafp l\u00f2ng \u0111en v\u00e0 l\u00f2ng tr\u1eafng. Do \u0111\u00f3, m\u1eaft \u0111\u01b0\u1ee3c cung c\u1ea5p \u0111\u1ea7y \u0111\u1ee7 \u0111\u1ed9 \u1ea9m n\u00ean lu\u00f4n tr\u01a1n \u01b0\u1edbt, kh\u00f4ng b\u1ecb kh\u00f4 v\u00e0 nh\u00ecn ng\u1eafm m\u1ecdi v\u1eadt m\u1ed9t c\u00e1ch r\u00f5 r\u00e0ng.\nTrong tr\u01b0\u1eddng h\u1ee3p b\u1ecb h\u1edf, mi m\u1eaft s\u1ebd kh\u00f4ng th\u1ec3 kh\u00e9p k\u00edn ho\u00e0n to\u00e0n nh\u01b0 b\u00ecnh th\u01b0\u1eddng. L\u00fac n\u00e0y ch\u1ee9c n\u0103ng b\u1ea3o v\u1ec7 gi\u1ea3m s\u00fat, d\u1ecb v\u1eadt, b\u1ee5i b\u1ea9n,\u2026 b\u00ean ngo\u00e0i c\u00f3 th\u1ec3 x\u00e2m nh\u1eadp v\u00e0o m\u1eaft g\u00e2y t\u1ed5n th\u01b0\u01a1ng v\u00e0 nhi\u1ec5m tr\u00f9ng, t\u1eeb \u0111\u00f3 \u1ea3nh h\u01b0\u1edfng nghi\u00eam tr\u1ecdng \u0111\u1ebfn th\u1ecb l\u1ef1c.\nNguy\u00ean nh\u00e2n:\nNguy\u00ean nh\u00e2n g\u00e2y h\u1edf mi m\u1eaft r\u1ea5t ph\u1ee9c t\u1ea1p, \u0111\u1ec3 c\u00f3 bi\u1ec7n ph\u00e1p kh\u1eafc ph\u1ee5c hi\u1ec7u qu\u1ea3 b\u1ea1n n\u00ean t\u00ecm hi\u1ec3u l\u00fd do t\u1ea1i sao mi m\u1eaft c\u1ee7a m\u00ecnh kh\u00f4ng th\u1ec3 kh\u00e9p k\u00edn ho\u00e0n to\u00e0n.\nD\u00e2y th\u1ea7n kinh v\u1eadn \u0111\u1ed9ng c\u1ee7a mi m\u1eaft b\u1ecb li\u1ec7t, g\u00e2y \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn ph\u1ea3n x\u1ea1 \u0111\u00f3ng, m\u1edf t\u1ef1 nhi\u00ean.\nCh\u1ea5n th\u01b0\u01a1ng m\u1ea1nh l\u00e0m t\u1ed5n th\u01b0\u01a1ng c\u01a1 m\u1eb7t, c\u1ea5u tr\u00fac t\u1ea1i v\u00f9ng m\u1eaft,\u2026\nR\u1ed1i lo\u1ea1n gi\u1ea5c ng\u1ee7, thi\u1ebfu ng\u1ee7, m\u1ea5t ng\u1ee7 c\u0169ng \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn ph\u1ea3n x\u1ea1 kh\u00e9p m\u1edf mi m\u1eaft.\nM\u1eafc ph\u1ea3i c\u00e1c b\u1ec7nh v\u1ec1 m\u1eaft nh\u01b0: l\u1ed3i ho\u1eb7c l\u00f5m m\u1eaft, c\u00f3 s\u1eb9o, kh\u1ed1i u trong m\u1eaft,\u2026\nTh\u1ef1c hi\u1ec7n ph\u1eabu thu\u1eadt th\u1ea9m m\u1ef9 c\u1eaft da th\u1eeba, l\u1ea5y m\u1ee1 m\u1eaft nh\u01b0ng g\u1eb7p bi\u1ebfn ch\u1ee9ng ngay sau \u0111\u00f3.\n    ###\u0110\u1ea7u ra: json```{\n    \"QA_pairs\": [\n        {\n        \"###C\u00e2u h\u1ecfi:\": \"H\u1edf mi m\u1eaft l\u00e0 g\u00ec v\u00e0 n\u00f3 \u1ea3nh h\u01b0\u1edfng nh\u01b0 th\u1ebf n\u00e0o \u0111\u1ebfn m\u1eaft?\",\n        \"###Suy lu\u1eadn:\": \"Theo ng\u1eef c\u1ea3nh, h\u1edf mi m\u1eaft l\u00e0 khi mi m\u1eaft kh\u00f4ng th\u1ec3 kh\u00e9p k\u00edn ho\u00e0n to\u00e0n. ###begin_context###Trong tr\u01b0\u1eddng h\u1ee3p b\u1ecb h\u1edf, mi m\u1eaft s\u1ebd kh\u00f4ng th\u1ec3 kh\u00e9p k\u00edn ho\u00e0n to\u00e0n nh\u01b0 b\u00ecnh th\u01b0\u1eddng. L\u00fac n\u00e0y ch\u1ee9c n\u0103ng b\u1ea3o v\u1ec7 gi\u1ea3m s\u00fat, d\u1ecb v\u1eadt, b\u1ee5i b\u1ea9n,\u2026 b\u00ean ngo\u00e0i c\u00f3 th\u1ec3 x\u00e2m nh\u1eadp v\u00e0o m\u1eaft g\u00e2y t\u1ed5n th\u01b0\u01a1ng v\u00e0 nhi\u1ec5m tr\u00f9ng, t\u1eeb \u0111\u00f3 \u1ea3nh h\u01b0\u1edfng nghi\u00eam tr\u1ecdng \u0111\u1ebfn th\u1ecb l\u1ef1c.###end_context### ch\u1ec9 ra r\u1eb1ng h\u1edf mi m\u1eaft \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn m\u1eaft b\u1eb1ng c\u00e1ch gi\u1ea3m kh\u1ea3 n\u0103ng b\u1ea3o v\u1ec7 v\u00e0 t\u0103ng nguy c\u01a1 t\u1ed5n th\u01b0\u01a1ng, nhi\u1ec5m tr\u00f9ng.\",\n        \"###C\u00e2u tr\u1ea3 l\u1eddi:\": \"H\u1edf mi m\u1eaft l\u00e0 t\u00ecnh tr\u1ea1ng mi m\u1eaft kh\u00f4ng th\u1ec3 kh\u00e9p k\u00edn ho\u00e0n to\u00e0n, l\u00e0m gi\u1ea3m ch\u1ee9c n\u0103ng b\u1ea3o v\u1ec7 c\u1ee7a m\u1eaft, d\u1eabn \u0111\u1ebfn nguy c\u01a1 d\u1ecb v\u1eadt, b\u1ee5i b\u1ea9n x\u00e2m nh\u1eadp, g\u00e2y t\u1ed5n th\u01b0\u01a1ng v\u00e0 nhi\u1ec5m tr\u00f9ng, \u1ea3nh h\u01b0\u1edfng nghi\u00eam tr\u1ecdng \u0111\u1ebfn th\u1ecb l\u1ef1c.\"\n        },\n        {\n        \"###C\u00e2u h\u1ecfi:\": \"Nh\u1eefng nguy\u00ean nh\u00e2n n\u00e0o g\u00e2y ra h\u1edf mi m\u1eaft?\",\n        \"###Suy lu\u1eadn:\": \"###begin_context###Nguy\u00ean nh\u00e2n g\u00e2y h\u1edf mi m\u1eaft r\u1ea5t ph\u1ee9c t\u1ea1p, \u0111\u1ec3 c\u00f3 bi\u1ec7n ph\u00e1p kh\u1eafc ph\u1ee5c hi\u1ec7u qu\u1ea3 b\u1ea1n n\u00ean t\u00ecm hi\u1ec3u l\u00fd do t\u1ea1i sao mi m\u1eaft c\u1ee7a m\u00ecnh kh\u00f4ng th\u1ec3 kh\u00e9p k\u00edn ho\u00e0n to\u00e0n.\nD\u00e2y th\u1ea7n kinh v\u1eadn \u0111\u1ed9ng c\u1ee7a mi m\u1eaft b\u1ecb li\u1ec7t, g\u00e2y \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn ph\u1ea3n x\u1ea1 \u0111\u00f3ng, m\u1edf t\u1ef1 nhi\u00ean.\nCh\u1ea5n th\u01b0\u01a1ng m\u1ea1nh l\u00e0m t\u1ed5n th\u01b0\u01a1ng c\u01a1 m\u1eb7t, c\u1ea5u tr\u00fac t\u1ea1i v\u00f9ng m\u1eaft,\u2026\nR\u1ed1i lo\u1ea1n gi\u1ea5c ng\u1ee7, thi\u1ebfu ng\u1ee7, m\u1ea5t ng\u1ee7 c\u0169ng \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn ph\u1ea3n x\u1ea1 kh\u00e9p m\u1edf mi m\u1eaft.\nM\u1eafc ph\u1ea3i c\u00e1c b\u1ec7nh v\u1ec1 m\u1eaft nh\u01b0: l\u1ed3i ho\u1eb7c l\u00f5m m\u1eaft, c\u00f3 s\u1eb9o, kh\u1ed1i u trong m\u1eaft,\u2026\nTh\u1ef1c hi\u1ec7n ph\u1eabu thu\u1eadt th\u1ea9m m\u1ef9 c\u1eaft da th\u1eeba, l\u1ea5y m\u1ee1 m\u1eaft nh\u01b0ng g\u1eb7p bi\u1ebfn ch\u1ee9ng ngay sau \u0111\u00f3.###end_context### ch\u1ec9 ra r\u1eb1ng nh\u1eefng nguy\u00ean nh\u00e2n ch\u00ednh g\u00e2y ra h\u1edf mi m\u1eaft bao g\u1ed3m d\u00e2y th\u1ea7n kinh v\u1eadn \u0111\u1ed9ng c\u1ee7a mi m\u1eaft b\u1ecb li\u1ec7t; ch\u1ea5n th\u01b0\u01a1ng m\u1ea1nh l\u00e0m t\u1ed5n th\u01b0\u01a1ng c\u01a1 m\u1eb7t, c\u1ea5u tr\u00fac t\u1ea1i v\u00f9ng m\u1eaft; r\u1ed1i lo\u1ea1n gi\u1ea5c ng\u1ee7, thi\u1ebfu ng\u1ee7, m\u1ea5t ng\u1ee7; m\u1eafc ph\u1ea3i c\u00e1c b\u1ec7nh v\u1ec1 m\u1eaft nh\u01b0: l\u1ed3i ho\u1eb7c l\u00f5m m\u1eaft, c\u00f3 s\u1eb9o, kh\u1ed1i u trong m\u1eaft.\",\n        \"###C\u00e2u tr\u1ea3 l\u1eddi:\": \"Nh\u1eefng nguy\u00ean nh\u00e2n g\u00e2y h\u1edf mi m\u1eaft bao g\u1ed3m: li\u1ec7t d\u00e2y th\u1ea7n kinh v\u1eadn \u0111\u1ed9ng c\u1ee7a mi m\u1eaft, ch\u1ea5n th\u01b0\u01a1ng m\u1ea1nh l\u00e0m t\u1ed5n th\u01b0\u01a1ng c\u01a1 m\u1eb7t ho\u1eb7c c\u1ea5u tr\u00fac v\u00f9ng m\u1eaft, r\u1ed1i lo\u1ea1n gi\u1ea5c ng\u1ee7 nh\u01b0 thi\u1ebfu ng\u1ee7 ho\u1eb7c m\u1ea5t ng\u1ee7, m\u1eafc c\u00e1c b\u1ec7nh v\u1ec1 m\u1eaft nh\u01b0 l\u1ed3i ho\u1eb7c l\u00f5m m\u1eaft, c\u00f3 s\u1eb9o, kh\u1ed1i u trong m\u1eaft, v\u00e0 bi\u1ebfn ch\u1ee9ng sau ph\u1eabu thu\u1eadt th\u1ea9m m\u1ef9 v\u00f9ng m\u1eaft.\"\n        },\n        {\n        \"###C\u00e2u h\u1ecfi:\": \"Mi m\u1eaft \u0111\u00f3ng k\u00edn c\u00f3 vai tr\u00f2 g\u00ec trong vi\u1ec7c b\u1ea3o v\u1ec7 m\u1eaft?\",\n        \"###Suy lu\u1eadn:\": \"Mi m\u1eaft \u0111\u00f3ng k\u00edn gi\u00fap ng\u0103n ch\u1eb7n b\u1ee5i b\u1ea9n v\u00e0 d\u1ecb v\u1eadt bay v\u00e0o m\u1eaft. ###begin_context###\u0110\u1eb7c bi\u1ec7t, mi m\u1eaft c\u00f3 th\u1ec3 t\u1ef1 \u0111\u1ed9ng \u0111\u00f3ng k\u00edn nh\u1eb1m ng\u0103n ch\u1eb7n b\u1ee5i b\u1ea9n, c\u00e1c v\u1eadt l\u1ea1 bay v\u00e0o. \u0110\u1ed3ng th\u1eddi th\u00f4ng qua ph\u1ea3n x\u1ea1 ch\u1edbp mi li\u00ean t\u1ee5c, tuy\u1ebfn l\u1ec7 s\u1ebd \u0111i\u1ec1u ti\u1ebft n\u01b0\u1edbc m\u1eaft v\u00e0 d\u00e0n \u0111\u1ec1u kh\u1eafp l\u00f2ng \u0111en v\u00e0 l\u00f2ng tr\u1eafng. Do \u0111\u00f3, m\u1eaft \u0111\u01b0\u1ee3c cung c\u1ea5p \u0111\u1ea7y \u0111\u1ee7 \u0111\u1ed9 \u1ea9m n\u00ean lu\u00f4n tr\u01a1n \u01b0\u1edbt, kh\u00f4ng b\u1ecb kh\u00f4 v\u00e0 nh\u00ecn ng\u1eafm m\u1ecdi v\u1eadt m\u1ed9t c\u00e1ch r\u00f5 r\u00e0ng.###end_context### ch\u1ec9 ra r\u1eb1ng mi m\u1eaft \u0111\u00f3ng k\u00edn b\u1ea3o v\u1ec7 m\u1eaft kh\u1ecfi c\u00e1c y\u1ebfu t\u1ed1 b\u00ean ngo\u00e0i v\u00e0 gi\u1eef \u1ea9m cho m\u1eaft.\",\n        \"###C\u00e2u tr\u1ea3 l\u1eddi:\": \"Mi m\u1eaft \u0111\u00f3ng k\u00edn c\u00f3 vai tr\u00f2 ng\u0103n ch\u1eb7n b\u1ee5i b\u1ea9n v\u00e0 d\u1ecb v\u1eadt x\u00e2m nh\u1eadp v\u00e0o m\u1eaft, \u0111\u1ed3ng th\u1eddi gi\u00fap tuy\u1ebfn l\u1ec7 \u0111i\u1ec1u ti\u1ebft n\u01b0\u1edbc m\u1eaft, gi\u1eef \u1ea9m cho m\u1eaft v\u00e0 duy tr\u00ec th\u1ecb l\u1ef1c r\u00f5 r\u00e0ng.\"\n        }\n    ]\n}\n```\n\n\n    \u0110\u1ebfn l\u01b0\u1ee3t b\u1ea1n:\n    ###Ng\u1eef c\u1ea3nh: c\u00e1c v\u01b0\u1eddn th\u00fa v\u00e0 v\u01b0\u1eddn \u0111\u1ed9ng v\u1eadt t\u1ea1o ra m\u00f4i tr\u01b0\u1eddng t\u1ed1i \u01b0u cho s\u1ef1 l\u00e2y truy\u1ec1n virus gi\u1eefa c\u00e1c lo\u00e0i c\u00f3 b\u1ea3y v\u01b0\u1eddn th\u00fa v\u00e0 m\u1ed9t s\u1ed1 b\u1ed9 s\u01b0u t\u1eadp \u0111\u1ed9ng v\u1eadt h\u1ecdc nh\u1ecf \u1edf Th\u1ed5 Nh\u0129 K\u1ef3. Nghi\u00ean c\u1ee9u n\u00e0y nh\u1eb1m x\u00e1c \u0111\u1ecbnh t\u00ecnh tr\u1ea1ng nhi\u1ec5m virus hi\u1ec7n t\u1ea1i \u1edf c\u00e1c lo\u00e0i \u0111\u1ed9ng v\u1eadt m\u00f3ng gu\u1ed1c nu\u00f4i nh\u1ed1t s\u1ed1ng trong c\u00e1c m\u00f4i tr\u01b0\u1eddng n\u00e0y. C\u00e1c m\u1eabu m\u00e1u \u0111\u01b0\u1ee3c l\u1ea5y t\u1eeb \u0111\u1ed9ng v\u1eadt nu\u00f4i nh\u1ed1t t\u1eeb hai s\u1edf th\u00fa \u1edf \u0111\u00f3 l\u00e0 c\u1eebu cameroon ovis ammon faries c\u1eebu man r\u1ee3 ammotragus lervia d\u00ea l\u00f9n capra hircus angora d\u00ea capra hircus d\u00ea n\u00fai capra aegagrusaegagrus l\u1ea1c \u0111\u00e0 kh\u00f4ng b\u01b0\u1edbu lama glama linh d\u01b0\u01a1ng b\u01b0\u1edbu c\u1ed5 ba t\u01b0 linh d\u01b0\u01a1ng subgutturosa subgutturosa caspian h\u01b0\u01a1u \u0111\u1ecf cervus elaphus maral h\u01b0\u01a1u hoang dama dama v\u00e0 l\u1ea1c \u0111\u00e0 Camelus dromedarius kh\u00e1ng th\u1ec3 ch\u1ed1ng l\u1ea1i vi-r\u00fat BVD bvdv BHV bhv bovine adenovirus bav v\u00e0 parainfluenzavirus pi v\u00e0 vi-r\u00fat l\u01b0\u1ee1i xanh btv v\u00e0 \u0111\u00e3 \u0111\u01b0\u1ee3c nghi\u00ean c\u1ee9u b\u1eb1ng c\u00e1ch s\u1eed d\u1ee5ng VNT v\u00e0 kh\u00e1ng th\u1ec3 mcf s\u1ed1t catarrhal \u00e1c t\u00ednh \u0111\u00e3 \u0111\u01b0\u1ee3c s\u00e0ng l\u1ecdc b\u1edfi elisa t\u1ea5t c\u1ea3 c\u00e1c \u0111\u1ed9ng v\u1eadt \u0111\u1ec1u \u00e2m t\u00ednh v\u1edbi kh\u00e1ng th\u1ec3 bvdv v\u00e0 bhv. T\u1ef7 l\u1ec7 huy\u1ebft thanh c\u1ee7a bav bav pi brsv bt bt v\u00e0 mcf \u0111\u00e3 \u0111\u01b0\u1ee3c ph\u00e1t hi\u1ec7n nh\u01b0 sau v\u00e0 t\u1ef7 l\u1ec7 huy\u1ebft thanh t\u01b0\u01a1ng \u1ee9ng c\u1ee7a bavs v\u00e0 mcf ph\u1ed5 bi\u1ebfn h\u01a1n t\u1ea5t c\u1ea3 c\u00e1c lo\u1ea1i virus kh\u00e1c p 10 d\u00ea c\u1eebu v\u00e0 ilama l\u00e0 lo\u00e0i duy nh\u1ea5t d\u01b0\u01a1ng t\u00ednh v\u1edbi kh\u00e1ng th\u1ec3 mcf. T\u1ef7 l\u1ec7 kh\u00e1ng th\u1ec3 brsv v\u00e0 mcf \u1edf d\u00ea cao h\u01a1n \u0111\u00e1ng k\u1ec3 so v\u1edbi c\u1eebu Kh\u00e1ng th\u1ec3 btv \u0111\u00e3 \u0111\u01b0\u1ee3c ph\u00e1t hi\u1ec7n \u1edf c\u1ea3 c\u1eebu Cameroon v\u00e0 d\u00ea n\u00fai v\u00e0 cho th\u1ea5y \u0111\u1ed9ng v\u1eadt trong v\u01b0\u1eddn th\u00fa c\u00f3 nguy c\u01a1 m\u1eafc b\u1ec7nh btv \u1edf c\u00e1c v\u00f9ng l\u01b0u h\u00e0nh b\u1ec7nh\n    ###\u0110\u1ea7u ra:\n    "},{"assistant_initiates":false,"asst_text":"```json\n{\n    \"QA_pairs\": [\n        {\n            \"###C\u00e2u h\u1ecfi:\": \"Ng\u00f4n ng\u1eef n\u00e0o \u0111\u01b0\u1ee3c n\u00f3i nhi\u1ec1u nh\u1ea5t t\u1ea1i Th\u1ee5y S\u1ef9?\",\n            \"###Suy lu\u1eadn:\": \"###begin_context###Th\u1ee5y S\u1ef9 c\u00f3 b\u1ed1n ng\u00f4n ng\u1eef ch\u00ednh th\u1ee9c: Ti\u1ebfng \u0110\u1ee9c chi\u1ebfm \u0111a s\u1ed1 (63,3% d\u00e2n s\u1ed1 n\u00f3i v\u00e0o n\u0103m 2014); ti\u1ebfng Ph\u00e1p (22,7%) t\u1ea1i mi\u1ec1n t\u00e2y; v\u00e0 ti\u1ebfng \u00dd (8,1%) t\u1ea1i mi\u1ec1n nam; Ng\u00f4n ng\u1eef th\u1ee9 t\u01b0 l\u00e0 ti\u1ebfng Romansh (0,5%).###end_context### ch\u1ec9 ra r\u1eb1ng trong c\u00e1c ng\u00f4n ng\u1eef ch\u00ednh th\u1ee9c t\u1ea1i Th\u1ee5y S\u1ef9, ti\u1ebfng \u0110\u1ee9c l\u00e0 ng\u00f4n ng\u1eef \u0111\u01b0\u1ee3c n\u00f3i nhi\u1ec1u nh\u1ea5t, chi\u1ebfm 63,3% d\u00e2n s\u1ed1.\",\n            \"###C\u00e2u tr\u1ea3 l\u1eddi:\": \"Ti\u1ebfng \u0110\u1ee9c l\u00e0 ng\u00f4n ng\u1eef \u0111\u01b0\u1ee3c n\u00f3i nhi\u1ec1u nh\u1ea5t t\u1ea1i Th\u1ee5y S\u1ef9, chi\u1ebfm 63,3% d\u00e2n s\u1ed1 v\u00e0o n\u0103m 2014.\"\n        },\n        {\n            \"###C\u00e2u h\u1ecfi:\": \"Ng\u01b0\u1eddi d\u00e2n Th\u1ee5y S\u1ef9 th\u01b0\u1eddng n\u00f3i nh\u1eefng ng\u00f4n ng\u1eef n\u00e0o t\u1ea1i nh\u00e0?\",\n            \"###Suy lu\u1eadn:\": \"###begin_context###N\u0103m 2013, c\u00e1c ng\u00f4n ng\u1eef \u0111\u01b0\u1ee3c n\u00f3i nhi\u1ec1u nh\u1ea5t t\u1ea1i nh\u00e0 trong s\u1ed1 c\u01b0 d\u00e2n th\u01b0\u1eddng tr\u00fa t\u1eeb 15 tu\u1ed5i tr\u1edf l\u00ean l\u00e0 ti\u1ebfng \u0110\u1ee9c-Th\u1ee5y S\u1ef9 (60,1%), ti\u1ebfng Ph\u00e1p (23,4%), ti\u1ebfng \u0110\u1ee9c ti\u00eau chu\u1ea9n (10,1%), v\u00e0 ti\u1ebfng \u00dd (8,4%).###end_context### ch\u1ec9 ra r\u1eb1ng c\u00e1c ng\u00f4n ng\u1eef n\u00f3i t\u1ea1i nh\u00e0 ph\u1ed5 bi\u1ebfn nh\u1ea5t b\u00e0o g\u1ed3m: ti\u1ebfng \u0110\u1ee9c-Th\u1ee5y S\u1ef9, ti\u1ebfng Ph\u00e1p, ti\u1ebfng \u0110\u1ee9c ti\u00eau chu\u1ea9n v\u00e0 ti\u1ebfng \u00dd.\",\n            \"###C\u00e2u tr\u1ea3 l\u1eddi:\": \"Ng\u01b0\u1eddi d\u00e2n Th\u1ee5y S\u1ef9 th\u01b0\u1eddng n\u00f3i ti\u1ebfng \u0110\u1ee9c-Th\u1ee5y S\u1ef9, ti\u1ebfng Ph\u00e1p, ti\u1ebfng \u0110\u1ee9c ti\u00eau chu\u1ea9n v\u00e0 ti\u1ebfng \u00dd t\u1ea1i nh\u00e0.\"\n        },\n        {\n            \"###C\u00e2u h\u1ecfi:\": \"Ch\u00ednh ph\u1ee7 li\u00ean bang Th\u1ee5y S\u1ef9 c\u00f3 ngh\u0129a v\u1ee5 giao thi\u1ec7p b\u1eb1ng nh\u1eefng ng\u00f4n ng\u1eef n\u00e0o?\",\n            \"###Suy lu\u1eadn:\": \"###begin_context###Ch\u00ednh ph\u1ee7 li\u00ean bang c\u00f3 ngh\u0129a v\u1ee5 giao thi\u1ec7p b\u1eb1ng c\u00e1c ng\u00f4n ng\u1eef ch\u00ednh th\u1ee9c, v\u00e0 trong ngh\u1ecb vi\u1ec7n li\u00ean bang c\u00e1c b\u1ea3n d\u1ecbch \u0111\u1ed3ng th\u1eddi \u0111\u01b0\u1ee3c cung c\u1ea5p gi\u1eefa ti\u1ebfng \u0110\u1ee9c, Ph\u00e1p v\u00e0 \u00dd.###end_context### ch\u1ec9 ra r\u1eb1ng c\u00e1c ng\u00f4n ng\u1eef ch\u00ednh th\u1ee9c m\u00e0 ch\u00ednh ph\u1ee7 li\u00ean bang Th\u1ee5y S\u1ef9 c\u00f3 ngh\u0129a v\u1ee5 s\u1eed d\u1ee5ng bao g\u1ed3m ti\u1ebfng \u0110\u1ee9c, ti\u1ebfng Ph\u00e1p v\u00e0 ti\u1ebfng \u00dd.\",\n            \"###C\u00e2u tr\u1ea3 l\u1eddi:\": \"Ch\u00ednh ph\u1ee7 li\u00ean bang Th\u1ee5y S\u1ef9 c\u00f3 ngh\u0129a v\u1ee5 giao thi\u1ec7p b\u1eb1ng ti\u1ebfng \u0110\u1ee9c, ti\u1ebfng Ph\u00e1p v\u00e0 ti\u1ebfng \u00dd.\"\n        }\n    ]\n}\n```","behavior":"degenerate_repetition","conversation_hash":"be56b1aae1102b92a43181373f5ebe5a","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":"Vietnamese","model":"gpt-4o-2024-08-06","n_chars":8409,"n_turns_in_conversation":1,"n_words":1609,"source_row_offset":5098,"source_shard":"turns-00051.parquet","timestamp":"Wed, 13 Nov 2024 06:53:01 GMT","turn_id":"aafb3dfbc86bb33f1bb0e8a4","turn_index":0,"user_text":"B\u1ea1n s\u1ebd nh\u1eadn \u0111\u01b0\u1ee3c m\u1ed9t \u0111o\u1ea1n ng\u1eef c\u1ea3nh m\u00f4 t\u1ea3 m\u1ed9t s\u1ef1 ki\u1ec7n ho\u1eb7c kh\u00e1i ni\u1ec7m c\u1ee5 th\u1ec3. D\u1ef1a tr\u00ean ng\u1eef c\u1ea3nh, h\u00e3y t\u1ea1o ra 3 c\u1eb7p c\u00e2u h\u1ecfi v\u00e0 c\u00e2u tr\u1ea3 l\u1eddi \u0111i k\u00e8m. H\u00e3y \u0111\u1ea3m b\u1ea3o r\u1eb1ng c\u00e2u tr\u1ea3 l\u1eddi c\u00f3 s\u1ef1 gi\u1ea3i th\u00edch t\u1eebng b\u01b0\u1edbc ho\u1eb7c m\u00f4 t\u1ea3 chi ti\u1ebft (Chain of Thought) \u0111\u1ec3 ng\u01b0\u1eddi \u0111\u1ecdc hi\u1ec3u r\u00f5 h\u01a1n v\u1ec1 n\u1ed9i dung c\u00e2u tr\u1ea3 l\u1eddi.\n    Y\u00eau c\u1ea7u: T\u1ea1o 3 c\u1eb7p c\u00e2u h\u1ecfi v\u00e0 c\u00e2u tr\u1ea3 l\u1eddi. H\u00e3y l\u01b0u \u00fd cung c\u1ea5p c\u00e2u tr\u1ea3 l\u1eddi theo t\u1eebng b\u01b0\u1edbc suy lu\u1eadn, ho\u1eb7c \u0111\u01b0a ra c\u00e1c y\u1ebfu t\u1ed1 gi\u1ea3i th\u00edch r\u00f5 r\u00e0ng li\u00ean quan \u0111\u1ebfn c\u00e2u tr\u1ea3 l\u1eddi (Chain of Thought). B\u01b0\u1edbc suy lu\u1eadn s\u1ebd l\u1ea5y th\u00f4ng tin tr\u1ef1c ti\u1ebfp t\u1eeb ng\u1eef c\u1ea3nh, th\u00f4ng tin \u0111\u01b0\u1ee3c l\u1ea5y t\u1eeb ng\u1eef c\u1ea3nh s\u1ebd \u0111\u01b0\u1ee3c b\u1ecf v\u00e0o 2 tag \u0111\u1eb7c bi\u1ec7t ###begin_context### v\u00e0 ###end_context###. C\u00e2u tr\u1ea3 l\u1eddi s\u1ebd \u1edf d\u1ea1ng ng\u1eafn g\u1ecdn, s\u00fac t\u00edch.\n\n    C\u00e2u h\u1ecfi \u0111\u01b0\u1ee3c b\u1ecf v\u00e0o tag ###C\u00e2u h\u1ecfi:\n    Suy lu\u1eadn \u0111\u01b0\u1ee3c b\u1ecf v\u00e0o tag ###Suy lu\u1eadn:\n    C\u00e2u tr\u1ea3 l\u1eddi \u0111\u01b0\u1ee3c b\u1ecf v\u00e0o tag \u0111\u1eb7c bi\u1ec7t ###C\u00e2u tr\u1ea3 l\u1eddi:\n    Suy lu\u1eadn b\u1eaft bu\u1ed9c ph\u1ea3i tr\u00edch xu\u1ea5t th\u00f4ng tin t\u1eeb ng\u1eef c\u1ea3nh v\u00e0 d\u00f9ng ###begin_context### v\u00e0 ###end_context### \u0111\u1ec3 \u0111\u00e1nh d\u1ea5u th\u00f4ng tin \u0111\u01b0\u1ee3c tr\u00edch xu\u1ea5t.\n\n    N\u1ebfu ng\u1eef c\u1ea3nh kh\u00f4ng c\u00f3 \u00fd ngh\u0129a, b\u1ea1n h\u00e3y output \"Ng\u1eef c\u1ea3nh kh\u00f4ng gi\u00e1 tr\u1ecb\".\n    Tr\u1ea3 l\u1eddi b\u1eb1ng ti\u1ebfng Vi\u1ec7t.\n    Tr\u1ea3 cho t\u00f4i output d\u01b0\u1edbi d\u1ea1ng json \u0111\u1ec3 c\u00f3 th\u1ec3 tr\u00edch xu\u1ea5t m\u1ed9t c\u00e1ch d\u1ec5 d\u00e0ng.\n\n    V\u00ed d\u1ee5:\n    ###Ng\u1eef c\u1ea3nh: Internet Society hay ISOC l\u00e0 m\u1ed9t t\u1ed5 ch\u1ee9c qu\u1ed1c t\u1ebf ho\u1ea1t \u0111\u1ed9ng phi l\u1ee3i nhu\u1eadn, phi ch\u00ednh ph\u1ee7 v\u00e0 bao g\u1ed3m c\u00e1c th\u00e0nh vi\u00ean c\u00f3 tr\u00ecnh \u0111\u1ed9 chuy\u00ean ng\u00e0nh. T\u1ed5 ch\u1ee9c n\u00e0y ch\u00fa tr\u1ecdng \u0111\u1ebfn: ti\u00eau chu\u1ea9n, gi\u00e1o d\u1ee5c v\u00e0 c\u00e1c v\u1ea5n \u0111\u1ec1 v\u1ec1 ch\u00ednh s\u00e1ch. V\u1edbi tr\u00ean 145 t\u1ed5 ch\u1ee9c th\u00e0nh vi\u00ean v\u00e0 65.000 th\u00e0nh vi\u00ean c\u00e1 nh\u00e2n, ISOC bao g\u1ed3m nh\u1eefng con ng\u01b0\u1eddi c\u1ee5 th\u1ec3 trong c\u1ed9ng \u0111\u1ed3ng Internet. M\u1ecdi chi ti\u1ebft c\u00f3 th\u1ec3 t\u00ecm th\u1ea5y t\u1ea1i website c\u1ee7a ISOC.\nInternet Society n\u1eb1m \u1edf g\u1ea7n th\u1ee7 \u0111\u00f4 Washington, DC, Hoa K\u1ef3 v\u00e0 Geneva, Th\u1ee5y S\u0129. S\u1ed1 h\u1ed9i vi\u00ean c\u1ee7a n\u00f3 bao g\u1ed3m h\u01a1n 145 t\u1ed5 ch\u1ee9c th\u00e0nh vi\u00ean v\u00e0 h\u01a1n 65.000 c\u00e1 nh\u00e2n. Th\u00e0nh vi\u00ean c\u00f2n c\u00f3 th\u1ec3 t\u1ef1 l\u1eadp m\u1ed9t chi nh\u00e1nh c\u1ee7a t\u1ed5 ch\u1ee9c t\u00f9y theo v\u1ecb tr\u00ed ho\u1eb7c s\u1edf th\u00edch. Hi\u1ec7n nay t\u1ed5 ch\u1ee9c c\u00f3 t\u1edbi 90 chi nh\u00e1nh tr\u00ean to\u00e0n th\u1ebf gi\u1edbi.\nNhi\u1ec7m v\u1ee5 v\u00e0 m\u1ee5c \u0111\u00edch ho\u1ea1t \u0111\u1ed9ng.\nB\u1ea3o \u0111\u1ea3m, c\u1ed5 v\u0169 cho s\u1ef1 ph\u00e1t tri\u1ec3n, m\u1edf r\u1ed9ng v\u00e0 s\u1eed d\u1ee5ng Internet \u0111\u01b0\u1ee3c thu\u1eadn l\u1ee3i nh\u1ea5t cho m\u1ecdi ng\u01b0\u1eddi tr\u00ean to\u00e0n th\u1ebf gi\u1edbi.\n    ###\u0110\u1ea7u ra: json```{\n    \"QA_pairs\": [\n        {\n            \"###C\u00e2u h\u1ecfi:\": \"Internet Society (ISOC) l\u00e0 t\u1ed5 ch\u1ee9c g\u00ec v\u00e0 m\u1ee5c ti\u00eau ch\u00ednh c\u1ee7a n\u00f3 l\u00e0 g\u00ec?\",\n            \"###Suy lu\u1eadn:\": \"###begin_context###Internet Society hay ISOC l\u00e0 m\u1ed9t t\u1ed5 ch\u1ee9c qu\u1ed1c t\u1ebf ho\u1ea1t \u0111\u1ed9ng phi l\u1ee3i nhu\u1eadn, phi ch\u00ednh ph\u1ee7 v\u00e0 bao g\u1ed3m c\u00e1c th\u00e0nh vi\u00ean c\u00f3 tr\u00ecnh \u0111\u1ed9 chuy\u00ean ng\u00e0nh. T\u1ed5 ch\u1ee9c n\u00e0y ch\u00fa tr\u1ecdng \u0111\u1ebfn: ti\u00eau chu\u1ea9n, gi\u00e1o d\u1ee5c v\u00e0 c\u00e1c v\u1ea5n \u0111\u1ec1 v\u1ec1 ch\u00ednh s\u00e1ch.###end_context### ch\u1ec9 ra r\u1eb1ng Internet Society l\u00e0 m\u1ed9t t\u1ed5 ch\u1ee9c qu\u1ed1c t\u1ebf, phi l\u1ee3i nhu\u1eadn v\u00e0 phi ch\u00ednh ph\u1ee7, t\u1eadp trung v\u00e0o ti\u00eau chu\u1ea9n, gi\u00e1o d\u1ee5c v\u00e0 c\u00e1c v\u1ea5n \u0111\u1ec1 ch\u00ednh s\u00e1ch. ###begin_context###Nhi\u1ec7m v\u1ee5 v\u00e0 m\u1ee5c \u0111\u00edch ho\u1ea1t \u0111\u1ed9ng: B\u1ea3o \u0111\u1ea3m, c\u1ed5 v\u0169 cho s\u1ef1 ph\u00e1t tri\u1ec3n, m\u1edf r\u1ed9ng v\u00e0 s\u1eed d\u1ee5ng Internet \u0111\u01b0\u1ee3c thu\u1eadn l\u1ee3i nh\u1ea5t cho m\u1ecdi ng\u01b0\u1eddi tr\u00ean to\u00e0n th\u1ebf gi\u1edbi.###end_context### ch\u1ec9 ra r\u1eb1ng m\u1ee5c ti\u00eau ch\u00ednh c\u1ee7a ISOC l\u00e0 b\u1ea3o \u0111\u1ea3m v\u00e0 c\u1ed5 v\u0169 cho s\u1ef1 ph\u00e1t tri\u1ec3n, m\u1edf r\u1ed9ng v\u00e0 s\u1eed d\u1ee5ng Internet thu\u1eadn l\u1ee3i nh\u1ea5t cho m\u1ecdi ng\u01b0\u1eddi tr\u00ean to\u00e0n th\u1ebf gi\u1edbi.\",\n            \"###C\u00e2u tr\u1ea3 l\u1eddi:\": \"Internet Society (ISOC) l\u00e0 m\u1ed9t t\u1ed5 ch\u1ee9c qu\u1ed1c t\u1ebf phi l\u1ee3i nhu\u1eadn v\u00e0 phi ch\u00ednh ph\u1ee7, nh\u1eb1m b\u1ea3o \u0111\u1ea3m v\u00e0 th\u00fac \u0111\u1ea9y s\u1ef1 ph\u00e1t tri\u1ec3n, m\u1edf r\u1ed9ng v\u00e0 s\u1eed d\u1ee5ng Internet m\u1ed9t c\u00e1ch thu\u1eadn l\u1ee3i cho m\u1ecdi ng\u01b0\u1eddi tr\u00ean to\u00e0n th\u1ebf gi\u1edbi.\"\n        },\n        {\n            \"###C\u00e2u h\u1ecfi:\": \"Internet Society (ISOC) c\u00f3 quy m\u00f4 th\u00e0nh vi\u00ean nh\u01b0 th\u1ebf n\u00e0o?\",\n            \"###Suy lu\u1eadn:\": \"###begin_context###Internet Society bao g\u1ed3m h\u01a1n 145 t\u1ed5 ch\u1ee9c th\u00e0nh vi\u00ean v\u00e0 h\u01a1n 65.000 c\u00e1 nh\u00e2n.###end_context### ch\u1ec9 ra r\u1eb1ng ISOC c\u00f3 h\u01a1n 145 t\u1ed5 ch\u1ee9c th\u00e0nh vi\u00ean v\u00e0 h\u01a1n 65.000 th\u00e0nh vi\u00ean c\u00e1 nh\u00e2n. ###begin_context###Th\u00e0nh vi\u00ean c\u00f2n c\u00f3 th\u1ec3 t\u1ef1 l\u1eadp m\u1ed9t chi nh\u00e1nh c\u1ee7a t\u1ed5 ch\u1ee9c t\u00f9y theo v\u1ecb tr\u00ed ho\u1eb7c s\u1edf th\u00edch. Hi\u1ec7n nay t\u1ed5 ch\u1ee9c c\u00f3 t\u1edbi 90 chi nh\u00e1nh tr\u00ean to\u00e0n th\u1ebf gi\u1edbi.###end_context### ch\u1ec9 ra r\u1eb1ng c\u00e1c th\u00e0nh vi\u00ean c\u00f2n c\u00f3 th\u1ec3 l\u1eadp chi nh\u00e1nh c\u1ee7a t\u1ed5 ch\u1ee9c t\u00f9y theo v\u1ecb tr\u00ed ho\u1eb7c s\u1edf th\u00edch, v\u1edbi t\u1ed5ng c\u1ed9ng 90 chi nh\u00e1nh tr\u00ean to\u00e0n c\u1ea7u.\",\n            \"###C\u00e2u tr\u1ea3 l\u1eddi:\": \"Internet Society (ISOC) c\u00f3 h\u01a1n 145 t\u1ed5 ch\u1ee9c th\u00e0nh vi\u00ean v\u00e0 h\u01a1n 65.000 th\u00e0nh vi\u00ean c\u00e1 nh\u00e2n, c\u00f9ng v\u1edbi 90 chi nh\u00e1nh tr\u00ean to\u00e0n c\u1ea7u \u0111\u01b0\u1ee3c th\u00e0nh l\u1eadp b\u1edfi c\u00e1c th\u00e0nh vi\u00ean theo v\u1ecb tr\u00ed ho\u1eb7c s\u1edf th\u00edch.\"\n        },\n        {\n            \"###C\u00e2u h\u1ecfi:\": \"Internet Society (ISOC) c\u00f3 tr\u1ee5 s\u1edf ch\u00ednh \u1edf \u0111\u00e2u?\",\n            \"###Suy lu\u1eadn:\": \"###begin_context###Internet Society n\u1eb1m \u1edf g\u1ea7n th\u1ee7 \u0111\u00f4 Washington, DC, Hoa K\u1ef3 v\u00e0 Geneva, Th\u1ee5y S\u0129.###end_context### ch\u1ec9 ra ra r\u1eb1ng ISOC c\u00f3 tr\u1ee5 s\u1edf t\u1ea1i hai \u0111\u1ecba \u0111i\u1ec3m g\u1ea7n th\u1ee7 \u0111\u00f4 Washington, DC (Hoa K\u1ef3) v\u00e0 Geneva (Th\u1ee5y S\u0129).\",\n            \"###C\u00e2u tr\u1ea3 l\u1eddi:\": \"Internet Society (ISOC) c\u00f3 tr\u1ee5 s\u1edf ch\u00ednh g\u1ea7n th\u1ee7 \u0111\u00f4 Washington, DC (Hoa K\u1ef3) v\u00e0 Geneva (Th\u1ee5y S\u0129).\"\n        }\n    ]\n}\n```\n\n\n    \u0110\u1ebfn l\u01b0\u1ee3t b\u1ea1n:\n    ###Ng\u1eef c\u1ea3nh: Ng\u00f4n ng\u1eef.\nTh\u1ee5y S\u1ef9 c\u00f3 b\u1ed1n ng\u00f4n ng\u1eef ch\u00ednh th\u1ee9c: Ti\u1ebfng \u0110\u1ee9c chi\u1ebfm \u0111a s\u1ed1 (63,3% d\u00e2n s\u1ed1 n\u00f3i v\u00e0o n\u0103m 2014); ti\u1ebfng Ph\u00e1p (22,7%) t\u1ea1i mi\u1ec1n t\u00e2y; v\u00e0 ti\u1ebfng \u00dd (8,1%) t\u1ea1i mi\u1ec1n nam. Ng\u00f4n ng\u1eef th\u1ee9 t\u01b0 l\u00e0 ti\u1ebfng Romansh (0,5%), \u0111\u00e2y l\u00e0 m\u1ed9t ng\u00f4n ng\u1eef thu\u1ed9c h\u1ec7 Latinh v\u00e0 \u0111\u01b0\u1ee3c n\u00f3i \u1edf quy m\u00f4 \u0111\u1ecba ph\u01b0\u01a1ng t\u1ea1i bang Graub\u00fcnden thu\u1ed9c mi\u1ec1n \u0111\u00f4ng nam. Tuy nhi\u00ean, ph\u00e1p lu\u1eadt li\u00ean bang v\u00e0 c\u00e1c \u0111\u1ea1o lu\u1eadt ch\u00ednh th\u1ee9c kh\u00e1c kh\u00f4ng c\u1ea7n thi\u1ebft \u0111\u01b0\u1ee3c ban h\u00e0nh b\u1eb1ng ti\u1ebfng Romansh.\nN\u0103m 2013, c\u00e1c ng\u00f4n ng\u1eef \u0111\u01b0\u1ee3c n\u00f3i nhi\u1ec1u nh\u1ea5t t\u1ea1i nh\u00e0 trong s\u1ed1 c\u01b0 d\u00e2n th\u01b0\u1eddng tr\u00fa t\u1eeb 15 tu\u1ed5i tr\u1edf l\u00ean l\u00e0 ti\u1ebfng \u0110\u1ee9c-Th\u1ee5y S\u1ef9 (60,1%), ti\u1ebfng Ph\u00e1p (23,4%), ti\u1ebfng \u0110\u1ee9c ti\u00eau chu\u1ea9n (10,1%), v\u00e0 ti\u1ebfng \u00dd (8,4%). Tr\u00ean hai ph\u1ea7n n\u0103m (42,6%) c\u01b0 d\u00e2n th\u01b0\u1eddng tr\u00fa bi\u1ec3u th\u1ecb th\u01b0\u1eddng xuy\u00ean n\u00f3i h\u01a1n m\u1ed9t ng\u00f4n ng\u1eef. C\u00e1c ng\u00f4n ng\u1eef kh\u00e1c \u0111\u01b0\u1ee3c n\u00f3i t\u1ea1i nh\u00e0 g\u1ed3m c\u00f3 ti\u1ebfng Anh (4,6%), ti\u1ebfng B\u1ed3 \u0110\u00e0o Nha (3,5%), ti\u1ebfng Albania (2.6%), ti\u1ebfng Serbia v\u00e0 Croatia (2,5%), ti\u1ebfng T\u00e2y Ban Nha (2,2%), v\u00e0 ti\u1ebfng Th\u1ed5 Nh\u0129 K\u1ef3 (1,3%).\nCh\u00ednh ph\u1ee7 li\u00ean bang c\u00f3 ngh\u0129a v\u1ee5 giao thi\u1ec7p b\u1eb1ng c\u00e1c ng\u00f4n ng\u1eef ch\u00ednh th\u1ee9c, v\u00e0 trong ngh\u1ecb vi\u1ec7n li\u00ean bang c\u00e1c b\u1ea3n d\u1ecbch \u0111\u1ed3ng th\u1eddi \u0111\u01b0\u1ee3c cung c\u1ea5p gi\u1eefa ti\u1ebfng \u0110\u1ee9c, Ph\u00e1p v\u00e0 \u00dd.\nNgo\u00e0i d\u1ea1ng ch\u00ednh th\u1ee9c, b\u1ed1n khu v\u1ef1c ng\u00f4n ng\u1eef c\u1ee7a Th\u1ee5y S\u1ef9 c\u0169ng c\u00f3 d\u1ea1ng ph\u01b0\u01a1ng ng\u1eef c\u1ee7a m\u00ecnh. Vai tr\u00f2 c\u1ee7a ph\u01b0\u01a1ng ng\u1eef trong m\u1ed7i khu v\u1ef1c ng\u00f4n ng\u1eef kh\u00e1c bi\u1ec7t \u0111\u00e1ng k\u1ec3: T\u1ea1i c\u00e1c khu v\u1ef1c n\u00f3i ti\u1ebfng \u0110\u1ee9c, ti\u1ebfng \u0110\u1ee9c-Th\u1ee5y S\u1ef9 ng\u00e0y c\u00e0ng tr\u1edf n\u00ean th\u1ecbnh h\u00e0nh h\u01a1n k\u1ec3 t\u1eeb n\u1eeda cu\u1ed1i th\u1ebf k\u1ef7 XX, \u0111\u1eb7c bi\u1ec7t l\u00e0 trong truy\u1ec1n th\u00f4ng, v\u00e0 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng l\u00e0m ng\u00f4n ng\u1eef th\u01b0\u1eddng nh\u1eadt, trong khi giao thi\u1ec7p b\u1eb1ng v\u0103n b\u1ea3n h\u1ea7u nh\u01b0 lu\u00f4n s\u1eed d\u1ee5ng d\u1ea1ng ti\u1ebfng \u0110\u1ee9c ti\u00eau chu\u1ea9n c\u1ee7a Th\u1ee5y S\u1ef9. T\u01b0\u01a1ng ph\u1ea3n, t\u1ea1i c\u00e1c khu v\u1ef1c n\u00f3i ti\u1ebfng Ph\u00e1p, ph\u01b0\u01a1ng ng\u1eef b\u1ea3n \u0111\u1ecba h\u1ea7u nh\u01b0 \u0111\u00e3 bi\u1ebfn m\u1ea5t, trong khi c\u00e1c ph\u01b0\u01a1ng ng\u1eef t\u1ea1i c\u00e1c khu v\u1ef1c n\u00f3i ti\u1ebfng \u00dd h\u1ea7u nh\u01b0 b\u1ecb h\u1ea1n ch\u1ebf trong b\u1ed1i c\u1ea3nh gia \u0111\u00ecnh v\u00e0 \u0111\u00e0m tho\u1ea1i b\u00ecnh th\u01b0\u1eddng.\nH\u1ecdc m\u1ed9t trong c\u00e1c ng\u00f4n ng\u1eef qu\u1ed1c gia kh\u00e1c t\u1ea1i tr\u01b0\u1eddng h\u1ecdc l\u00e0 \u0111i\u1ec1u b\u1eaft bu\u1ed9c \u0111\u1ed1i v\u1edbi to\u00e0n b\u1ed9 h\u1ecdc sinh Th\u1ee5y S\u1ef9, do \u0111\u00f3 nhi\u1ec1u ng\u01b0\u1eddi Th\u1ee5y S\u1ef9 \u0111\u01b0\u1ee3c gi\u1ea3 \u0111\u1ecbnh \u00edt nh\u1ea5t l\u00e0 song ng\u1eef, \u0111\u1eb7c bi\u1ec7t l\u00e0 nh\u1eefng ng\u01b0\u1eddi thu\u1ed9c c\u00e1c nh\u00f3m thi\u1ec3u s\u1ed1 ng\u00f4n ng\u1eef.\nY t\u1ebf.\n    ###\u0110\u1ea7u ra:\n    "},{"assistant_initiates":false,"asst_text":"SpaceX | Company | Private aerospace manufacturer and space transportation company founded by Elon Musk, involved in the lawsuit against the Air Force.  \nElon Musk | Person | Founder of SpaceX, influential entrepreneur in technology and aerospace sectors.  \nAir Force | Government Agency | United States military branch responsible for aerial and space warfare, involved in awarding rocket development contracts.  \nSpace and Missile Systems Center | Government Agency | Division of the U.S. Air Force responsible for acquiring space capabilities for the military, involved in the contract award process.  \nfunds | Financial Resource | Monetary allocations for specific projects or contracts, significant in funding rocket development.  \nthree unproven rockets | Product Concept | Rockets that have not yet demonstrated successful launches, described as part of the contract award controversy.  \nmetrics | Evaluation Criteria | Standards or measures used to assess performance or suitability, referenced as unclear in the contract awards.  \n$2.3 billion | Financial Amount | Total monetary value of the rocket development contracts awarded by the Air Force.  \nrocket development contracts | Contract Type | Agreements between the Air Force and companies for the creation and testing of rocket technology.  \nBlue Origin | Company | Aerospace manufacturer and sub-orbital spaceflight services company, competitor in the rocket development contracts.  \nNorthrop Grumman | Company | Global aerospace and defense technology company, awarded part of the rocket development contracts.  \nUnited Launch Alliance | Joint Venture | Aerospace company providing spacecraft launch services, joint venture between Boeing and Lockheed Martin.  \nBoeing | Company | Aerospace company involved in the United Launch Alliance, contributing to its operations and contracts.  \nLockheed Martin | Company | Aerospace and defense company involved in the United Launch Alliance, contributing to its operations and contracts.  \nStarship | Product | SpaceX's development launch vehicle referenced in the complaint as being assessed as high risk by the Air Force.  \nhigh risk | Risk Level | A classification indicating potential for failure or loss, used to describe SpaceX\u2019s portfolio in the Air Force assessment.  \nlawsuit | Legal Action | Formal legal complaint filed by SpaceX challenging the Air Force\u2019s contract decisions.  \nWednesday | Date | Day of the week when the previously secret lawsuit was revealed.  \nFriday | Date | Day of the week when SpaceX filed the complaint.","behavior":"degenerate_repetition","conversation_hash":"d653e89b5b7bc4afcef832b1cc7327a2","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":6947,"n_turns_in_conversation":1,"n_words":1025,"source_row_offset":5099,"source_shard":"turns-00051.parquet","timestamp":"Wed, 13 Nov 2024 06:53:04 GMT","turn_id":"38bbfc3222542f8d6033cc1b","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: KEY POINTS: The full SpaceX complaint alleges that the Air Force's Space and Missile Systems Center \"wrongly awarded\" the funds \"to a portfolio of three unproven rockets based on unstated metrics.\" The Air Force awarded $2.3 billion in rocket development contracts last year to competitors Blue Origin, Northrop Grumman and United Launch Alliance. SpaceX alleges that the Air Force \"determined that SpaceX's one development launch vehicle,\" or Starship, \"rendered the entire SpaceX portfolio\" as \"high risk.\" Elon Musk's SpaceX, in a previously secret lawsuit revealed on Wednesday, challenged the Air Force awarding $2.3 billion in rocket development contracts last year to competitors Blue Origin, Northrop Grumman and United Launch Alliance, which is a joint venture of Boeing and Lockheed Martin . SpaceX filed the complaint on Friday but\nAssistant:"},{"assistant_initiates":false,"asst_text":"Boston | City | Capital and largest city of the state of Massachusetts, relevant in regional economic and political contexts.\nMichelle Wu | Person | Boston city councilwoman known for her political leadership and efforts in breaking demographic barriers in politics.\ncity councilwoman | Political Position | Elected official serving on the city council, involved in local governance and policy-making.\nAsian-American | Demographic Group | Ethnic and cultural group, significant in discussions related to minority representation in politics and economics.\n2013 | Year | Specific year marking significant political events or elections, relevant in historical and economic analyses.\ncouncil's first woman of color president | Title/Position | Leadership role highlighting increased diversity and representation within political institutions.\nmayor | Political Position | Elected official serving as the head of a city government, significant in urban policy and governance.\n2021 | Year | Specific year marking significant political events or elections, relevant in historical and economic analyses.\nWhite male | Demographic Group | Ethnic and gender group, often referenced in discussions of historic political representation.\nMartin Walsh | Person | Current mayor of Boston, relevant figure in local politics and governance.\nthird term | Political Concept | Extended period of holding a political office, significant in political career analyses and municipal governance.\nAndrea Campbell | Person | Boston city councilwoman and mayoral candidate, relevant in political and demographic representation discussions.","behavior":"degenerate_repetition","conversation_hash":"91bad28d81d751c8f4665621b646bff6","conversation_redacted":false,"conversation_toxic":false,"country":"Italy","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":5855,"n_turns_in_conversation":1,"n_words":877,"source_row_offset":5100,"source_shard":"turns-00051.parquet","timestamp":"Wed, 13 Nov 2024 06:53:08 GMT","turn_id":"0de815b393536d3e1f7f6e1a","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: Boston city councilwoman Michelle Wu is no stranger to breaking glass ceilings. In 2013, when Wu was first elected to her position, she was the first Asian-American woman to serve on the council, and from 2016 to January 2018 she served as the council's first woman of color president. Now Wu, 35, is running for mayor of the city . If she wins in 2021, she will be the first woman and person of color to lead Boston, as the city has never had a mayor who is not a White male. Boston's current mayor, Martin Walsh, has yet to announce if he will seek a third term. But Wu's colleague, city councilwoman Andrea Campbell, has recently announced her run for mayor as well, making her the first\nAssistant:"},{"assistant_initiates":false,"asst_text":"```json\n{\n    \"QA_pairs\": [\n        {\n            \"###C\u00e2u h\u1ecfi:\": \"Thu\u1ed1c \u0111i\u1ec1u tr\u1ecb b\u1eb1ng hormone tuy\u1ebfn gi\u00e1p th\u01b0\u1eddng \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng v\u1edbi m\u1ee5c \u0111\u00edch g\u00ec?\",\n            \"###Suy lu\u1eadn:\": \"Theo ng\u1eef c\u1ea3nh, thu\u1ed1c \u0111i\u1ec1u tr\u1ecb b\u1eb1ng hormone tuy\u1ebfn gi\u00e1p \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng v\u1edbi hai m\u1ee5c \u0111\u00edch ch\u00ednh.###begin_context### Thay th\u1ebf hormone tuy\u1ebfn gi\u00e1p sau ph\u1eabu thu\u1eadt: N\u1ebfu tuy\u1ebfn gi\u00e1p b\u1ecb c\u1eaft b\u1ecf ho\u00e0n to\u00e0n, b\u1ec7nh nh\u00e2n c\u1ea7n d\u00f9ng hormone tuy\u1ebfn gi\u00e1p su\u1ed1t \u0111\u1eddi \u0111\u1ec3 thay th\u1ebf l\u01b0\u1ee3ng hormone t\u1ef1 nhi\u00ean. \u0110\u1ed1i v\u1edbi tr\u01b0\u1eddng h\u1ee3p c\u1eaft b\u1ecf m\u1ed9t ph\u1ea7n, s\u1eed d\u1ee5ng hormone c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c xem x\u00e9t. \u1ee8c ch\u1ebf s\u1ef1 ph\u00e1t tri\u1ec3n c\u1ee7a t\u1ebf b\u00e0o tuy\u1ebfn gi\u00e1p \u00e1c t\u00ednh: Li\u1ec7u ph\u00e1p hormone li\u1ec1u cao ng\u0103n ch\u1eb7n s\u1ea3n xu\u1ea5t hormone k\u00edch th\u00edch tuy\u1ebfn gi\u00e1p (TSH), t\u1eeb \u0111\u00f3 ng\u0103n ch\u1eb7n s\u1ef1 ph\u00e1t tri\u1ec3n c\u1ee7a t\u1ebf b\u00e0o ung th\u01b0.###end_context###\",\n            \"###C\u00e2u tr\u1ea3 l\u1eddi:\": \"Thu\u1ed1c \u0111i\u1ec1u tr\u1ecb b\u1eb1ng hormone tuy\u1ebfn gi\u00e1p \u0111\u01b0\u1ee3c d\u00f9ng \u0111\u1ec3 thay th\u1ebf hormone sau ph\u1eabu thu\u1eadt c\u1eaft b\u1ecf tuy\u1ebfn gi\u00e1p v\u00e0 \u1ee9c ch\u1ebf s\u1ef1 ph\u00e1t tri\u1ec3n c\u1ee7a t\u1ebf b\u00e0o tuy\u1ebfn gi\u00e1p \u00e1c t\u00ednh b\u1eb1ng c\u00e1ch ng\u0103n ch\u1eb7n hormone TSH.\"\n        },\n        {\n            \"###C\u00e2u h\u1ecfi:\": \"Ph\u01b0\u01a1ng ph\u00e1p \u0111i\u1ec1u tr\u1ecb ung th\u01b0 tuy\u1ebfn gi\u00e1p b\u1eb1ng ph\u00f3ng x\u1ea1 i-\u1ed1t \u0111\u01b0\u1ee3c \u00e1p d\u1ee5ng trong tr\u01b0\u1eddng h\u1ee3p n\u00e0o?\",\n            \"###Suy lu\u1eadn:\": \"###begin_context### \u0110i\u1ec1u tr\u1ecb b\u1eb1ng i-\u1ed1t ph\u00f3ng x\u1ea1 ch\u1ee7 y\u1ebfu d\u00f9ng sau ph\u1eabu thu\u1eadt \u0111\u1ec3 ti\u00eau di\u1ec7t t\u1ebf b\u00e0o ung th\u01b0 c\u00f2n s\u00f3t l\u1ea1i ho\u1eb7c ng\u0103n ch\u1eb7n ung th\u01b0 quay tr\u1edf l\u1ea1i. ####end_context###. Ph\u01b0\u01a1ng ph\u00e1p n\u00e0y ph\u00f9 h\u1ee3p cho b\u1ec7nh nh\u00e2n c\u00f3 ung th\u01b0 tuy\u1ebfn gi\u00e1p v\u00e0 \u0111\u01b0\u1ee3c ch\u1ec9 \u0111\u1ecbnh sau ph\u1eabu thu\u1eadt.\",\n            \"###C\u00e2u tr\u1ea3 l\u1eddi:\": \"Ph\u00f3ng x\u1ea1 i-\u1ed1t \u0111\u01b0\u1ee3c \u00e1p d\u1ee5ng sau ph\u1eabu thu\u1eadt \u0111\u1ec3 ti\u00eau di\u1ec7t t\u1ebf b\u00e0o ung th\u01b0 c\u00f2n s\u00f3t l\u1ea1i ho\u1eb7c ng\u0103n ung th\u01b0 quay l\u1ea1i, d\u00f9ng cho b\u1ec7nh nh\u00e2n ung th\u01b0 tuy\u1ebfn gi\u00e1p.\"\n        },\n        {\n            \"###C\u00e2u h\u1ecfi:\": \"X\u1ea1 tr\u1ecb \u0111\u01b0\u1ee3c \u00e1p d\u1ee5ng khi n\u00e0o trong \u0111i\u1ec1u tr\u1ecb ung th\u01b0 tuy\u1ebfn gi\u00e1p?\",\n            \"###Suy lu\u1eadn:\": \"Theo ng\u1eef c\u1ea3nh, x\u1ea1 tr\u1ecb \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng khi ung th\u01b0 tuy\u1ebfn gi\u00e1p kh\u00f4ng th\u1ec3 lo\u1ea1i b\u1ecf b\u1eb1ng ph\u1eabu thu\u1eadt ho\u1eb7c \u0111\u00e3 lan sang c\u00e1c b\u1ed9 ph\u1eadn kh\u00e1c.###begin_context### X\u1ea1 tr\u1ecb \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng n\u1ebfu ung th\u01b0 kh\u00f4ng th\u1ec3 lo\u1ea1i b\u1ecf b\u1eb1ng ph\u1eabu thu\u1eadt ho\u1eb7c ung th\u01b0 \u0111\u00e3 lan sang c\u00e1c b\u1ed9 ph\u1eadn kh\u00e1c. ###end_context###\",\n            \"###C\u00e2u tr\u1ea3 l\u1eddi:\": \"X\u1ea1 tr\u1ecb \u0111\u01b0\u1ee3c \u00e1p d\u1ee5ng khi ung th\u01b0 tuy\u1ebfn gi\u00e1p kh\u00f4ng th\u1ec3 lo\u1ea1i b\u1ecf b\u1eb1ng ph\u1eabu thu\u1eadt ho\u1eb7c \u0111\u00e3 lan r\u1ed9ng ra c\u00e1c b\u1ed9 ph\u1eadn kh\u00e1c trong c\u01a1 th\u1ec3.\"\n        }\n    ]\n}\n```","behavior":"degenerate_repetition","conversation_hash":"2af498025f879a483105f70920eeb2b3","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":"Vietnamese","model":"gpt-4o-2024-08-06","n_chars":10324,"n_turns_in_conversation":1,"n_words":2115,"source_row_offset":5101,"source_shard":"turns-00051.parquet","timestamp":"Wed, 13 Nov 2024 06:53:10 GMT","turn_id":"923faed85be142ffb36800d6","turn_index":0,"user_text":"B\u1ea1n s\u1ebd nh\u1eadn \u0111\u01b0\u1ee3c m\u1ed9t \u0111o\u1ea1n ng\u1eef c\u1ea3nh m\u00f4 t\u1ea3 m\u1ed9t s\u1ef1 ki\u1ec7n ho\u1eb7c kh\u00e1i ni\u1ec7m c\u1ee5 th\u1ec3. D\u1ef1a tr\u00ean ng\u1eef c\u1ea3nh, h\u00e3y t\u1ea1o ra 3 c\u1eb7p c\u00e2u h\u1ecfi v\u00e0 c\u00e2u tr\u1ea3 l\u1eddi \u0111i k\u00e8m. H\u00e3y \u0111\u1ea3m b\u1ea3o r\u1eb1ng c\u00e2u tr\u1ea3 l\u1eddi c\u00f3 s\u1ef1 gi\u1ea3i th\u00edch t\u1eebng b\u01b0\u1edbc ho\u1eb7c m\u00f4 t\u1ea3 chi ti\u1ebft (Chain of Thought) \u0111\u1ec3 ng\u01b0\u1eddi \u0111\u1ecdc hi\u1ec3u r\u00f5 h\u01a1n v\u1ec1 n\u1ed9i dung c\u00e2u tr\u1ea3 l\u1eddi.\n    Y\u00eau c\u1ea7u: T\u1ea1o 3 c\u1eb7p c\u00e2u h\u1ecfi v\u00e0 c\u00e2u tr\u1ea3 l\u1eddi. H\u00e3y l\u01b0u \u00fd cung c\u1ea5p c\u00e2u tr\u1ea3 l\u1eddi theo t\u1eebng b\u01b0\u1edbc suy lu\u1eadn, ho\u1eb7c \u0111\u01b0a ra c\u00e1c y\u1ebfu t\u1ed1 gi\u1ea3i th\u00edch r\u00f5 r\u00e0ng li\u00ean quan \u0111\u1ebfn c\u00e2u tr\u1ea3 l\u1eddi (Chain of Thought). B\u01b0\u1edbc suy lu\u1eadn s\u1ebd l\u1ea5y th\u00f4ng tin tr\u1ef1c ti\u1ebfp t\u1eeb ng\u1eef c\u1ea3nh, th\u00f4ng tin \u0111\u01b0\u1ee3c l\u1ea5y t\u1eeb ng\u1eef c\u1ea3nh s\u1ebd \u0111\u01b0\u1ee3c b\u1ecf v\u00e0o 2 tag \u0111\u1eb7c bi\u1ec7t ###begin_context### v\u00e0 ###end_context###. C\u00e2u tr\u1ea3 l\u1eddi s\u1ebd \u1edf d\u1ea1ng ng\u1eafn g\u1ecdn, s\u00fac t\u00edch.\n\n    C\u00e2u h\u1ecfi \u0111\u01b0\u1ee3c b\u1ecf v\u00e0o tag ###C\u00e2u h\u1ecfi:\n    Suy lu\u1eadn \u0111\u01b0\u1ee3c b\u1ecf v\u00e0o tag ###Suy lu\u1eadn:\n    C\u00e2u tr\u1ea3 l\u1eddi \u0111\u01b0\u1ee3c b\u1ecf v\u00e0o tag \u0111\u1eb7c bi\u1ec7t ###C\u00e2u tr\u1ea3 l\u1eddi:\n    Suy lu\u1eadn b\u1eaft bu\u1ed9c ph\u1ea3i tr\u00edch xu\u1ea5t th\u00f4ng tin t\u1eeb ng\u1eef c\u1ea3nh v\u00e0 d\u00f9ng ###begin_context### v\u00e0 ###end_context### \u0111\u1ec3 \u0111\u00e1nh d\u1ea5u th\u00f4ng tin \u0111\u01b0\u1ee3c tr\u00edch xu\u1ea5t.\n\n    N\u1ebfu ng\u1eef c\u1ea3nh kh\u00f4ng c\u00f3 \u00fd ngh\u0129a, b\u1ea1n h\u00e3y output \"Ng\u1eef c\u1ea3nh kh\u00f4ng gi\u00e1 tr\u1ecb\".\n    Tr\u1ea3 l\u1eddi b\u1eb1ng ti\u1ebfng Vi\u1ec7t.\n    Tr\u1ea3 cho t\u00f4i output d\u01b0\u1edbi d\u1ea1ng json \u0111\u1ec3 c\u00f3 th\u1ec3 tr\u00edch xu\u1ea5t m\u1ed9t c\u00e1ch d\u1ec5 d\u00e0ng.\n\n    V\u00ed d\u1ee5:\n    ###Ng\u1eef c\u1ea3nh: T\u00ecm hi\u1ec3u v\u1ec1 nguy\u00ean nh\u00e2n, tri\u1ec7u ch\u1ee9ng v\u00e0 c\u00e1c ph\u01b0\u01a1ng ph\u00e1p ch\u1eefa h\u1edf mi m\u1eaft\nKh\u00f4ng ch\u1ec9 mang t\u00ednh th\u1ea9m m\u1ef9, mi m\u1eaft c\u00f2n c\u00f3 t\u00e1c d\u1ee5ng b\u1ea3o v\u1ec7 \u0111\u00f4i m\u1eaft kh\u1ecfi c\u00e1c y\u1ebfu t\u1ed1 b\u00ean ngo\u00e0i. N\u1ebfu b\u1ed9 ph\u1eadn n\u00e0y kh\u00f4ng th\u1ec3 \u0111\u00f3ng k\u00edn ho\u00e0n to\u00e0n th\u00ec ho\u1ea1t \u0111\u1ed9ng c\u1ee7a m\u1eaft c\u00f3 th\u1ec3 b\u1ecb \u1ea3nh h\u01b0\u1edfng. V\u1eady, b\u1ea1n n\u00ean l\u00e0m g\u00ec \u0111\u1ec3 ch\u1eefa h\u1edf mi m\u1eaft? H\u00e3y c\u00f9ng ch\u00fang t\u00f4i theo d\u00f5i b\u00e0i vi\u1ebft d\u01b0\u1edbi \u0111\u00e2y \u0111\u1ec3 t\u00ecm hi\u1ec3u m\u1ed9t c\u00e1ch chi ti\u1ebft v\u1ec1 nguy\u00ean nh\u00e2n, tri\u1ec7u ch\u1ee9ng v\u00e0 c\u00e1c gi\u1ea3i ph\u00e1p kh\u1eafc ph\u1ee5c t\u00ecnh tr\u1ea1ng n\u00e0y nh\u00e9!\n1. H\u1edf mi m\u1eaft l\u00e0 g\u00ec?\n\u0110\u00f4i m\u1eaft l\u00e0 c\u1eeda s\u1ed5 t\u00e2m h\u1ed3n, l\u00e0 c\u01a1 quan ti\u1ebfp nh\u1eadn \u00e1nh s\u00e1ng gi\u00fap con ng\u01b0\u1eddi nh\u00ecn th\u1ea5y m\u1ecdi v\u1eadt xung quanh. Tuy nhi\u00ean, c\u01a1 quan n\u00e0y r\u1ea5t nh\u1ea1y c\u1ea3m v\u00e0 d\u1ec5 b\u1ecb t\u1ed5n th\u01b0\u01a1ng b\u1edfi c\u00e1c t\u00e1c \u0111\u1ed9ng c\u1ee7a m\u00f4i tr\u01b0\u1eddng. Do \u0111\u00f3, c\u00e1c th\u00e0nh ph\u1ea7n b\u00ean trong m\u1eaft nh\u1ea5t l\u00e0 gi\u00e1c m\u1ea1c c\u1ea7n \u0111\u01b0\u1ee3c b\u1ea3o v\u1ec7 v\u00e0 che ch\u1edf b\u1edfi c\u00e1c b\u1ed9 ph\u1eadn kh\u00e1c nh\u01b0: l\u00f4ng m\u00e0y, l\u00f4ng mi,\u2026\n\u0110\u1eb7c bi\u1ec7t, mi m\u1eaft c\u00f3 th\u1ec3 t\u1ef1 \u0111\u1ed9ng \u0111\u00f3ng k\u00edn nh\u1eb1m ng\u0103n ch\u1eb7n b\u1ee5i b\u1ea9n, c\u00e1c v\u1eadt l\u1ea1 bay v\u00e0o. \u0110\u1ed3ng th\u1eddi th\u00f4ng qua ph\u1ea3n x\u1ea1 ch\u1edbp mi li\u00ean t\u1ee5c, tuy\u1ebfn l\u1ec7 s\u1ebd \u0111i\u1ec1u ti\u1ebft n\u01b0\u1edbc m\u1eaft v\u00e0 d\u00e0n \u0111\u1ec1u kh\u1eafp l\u00f2ng \u0111en v\u00e0 l\u00f2ng tr\u1eafng. Do \u0111\u00f3, m\u1eaft \u0111\u01b0\u1ee3c cung c\u1ea5p \u0111\u1ea7y \u0111\u1ee7 \u0111\u1ed9 \u1ea9m n\u00ean lu\u00f4n tr\u01a1n \u01b0\u1edbt, kh\u00f4ng b\u1ecb kh\u00f4 v\u00e0 nh\u00ecn ng\u1eafm m\u1ecdi v\u1eadt m\u1ed9t c\u00e1ch r\u00f5 r\u00e0ng.\nTrong tr\u01b0\u1eddng h\u1ee3p b\u1ecb h\u1edf, mi m\u1eaft s\u1ebd kh\u00f4ng th\u1ec3 kh\u00e9p k\u00edn ho\u00e0n to\u00e0n nh\u01b0 b\u00ecnh th\u01b0\u1eddng. L\u00fac n\u00e0y ch\u1ee9c n\u0103ng b\u1ea3o v\u1ec7 gi\u1ea3m s\u00fat, d\u1ecb v\u1eadt, b\u1ee5i b\u1ea9n,\u2026 b\u00ean ngo\u00e0i c\u00f3 th\u1ec3 x\u00e2m nh\u1eadp v\u00e0o m\u1eaft g\u00e2y t\u1ed5n th\u01b0\u01a1ng v\u00e0 nhi\u1ec5m tr\u00f9ng, t\u1eeb \u0111\u00f3 \u1ea3nh h\u01b0\u1edfng nghi\u00eam tr\u1ecdng \u0111\u1ebfn th\u1ecb l\u1ef1c.\nNguy\u00ean nh\u00e2n:\nNguy\u00ean nh\u00e2n g\u00e2y h\u1edf mi m\u1eaft r\u1ea5t ph\u1ee9c t\u1ea1p, \u0111\u1ec3 c\u00f3 bi\u1ec7n ph\u00e1p kh\u1eafc ph\u1ee5c hi\u1ec7u qu\u1ea3 b\u1ea1n n\u00ean t\u00ecm hi\u1ec3u l\u00fd do t\u1ea1i sao mi m\u1eaft c\u1ee7a m\u00ecnh kh\u00f4ng th\u1ec3 kh\u00e9p k\u00edn ho\u00e0n to\u00e0n.\nD\u00e2y th\u1ea7n kinh v\u1eadn \u0111\u1ed9ng c\u1ee7a mi m\u1eaft b\u1ecb li\u1ec7t, g\u00e2y \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn ph\u1ea3n x\u1ea1 \u0111\u00f3ng, m\u1edf t\u1ef1 nhi\u00ean.\nCh\u1ea5n th\u01b0\u01a1ng m\u1ea1nh l\u00e0m t\u1ed5n th\u01b0\u01a1ng c\u01a1 m\u1eb7t, c\u1ea5u tr\u00fac t\u1ea1i v\u00f9ng m\u1eaft,\u2026\nR\u1ed1i lo\u1ea1n gi\u1ea5c ng\u1ee7, thi\u1ebfu ng\u1ee7, m\u1ea5t ng\u1ee7 c\u0169ng \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn ph\u1ea3n x\u1ea1 kh\u00e9p m\u1edf mi m\u1eaft.\nM\u1eafc ph\u1ea3i c\u00e1c b\u1ec7nh v\u1ec1 m\u1eaft nh\u01b0: l\u1ed3i ho\u1eb7c l\u00f5m m\u1eaft, c\u00f3 s\u1eb9o, kh\u1ed1i u trong m\u1eaft,\u2026\nTh\u1ef1c hi\u1ec7n ph\u1eabu thu\u1eadt th\u1ea9m m\u1ef9 c\u1eaft da th\u1eeba, l\u1ea5y m\u1ee1 m\u1eaft nh\u01b0ng g\u1eb7p bi\u1ebfn ch\u1ee9ng ngay sau \u0111\u00f3.\n    ###\u0110\u1ea7u ra: json```{\n    \"QA_pairs\": [\n        {\n        \"###C\u00e2u h\u1ecfi:\": \"H\u1edf mi m\u1eaft l\u00e0 g\u00ec v\u00e0 n\u00f3 \u1ea3nh h\u01b0\u1edfng nh\u01b0 th\u1ebf n\u00e0o \u0111\u1ebfn m\u1eaft?\",\n        \"###Suy lu\u1eadn:\": \"Theo ng\u1eef c\u1ea3nh, h\u1edf mi m\u1eaft l\u00e0 khi mi m\u1eaft kh\u00f4ng th\u1ec3 kh\u00e9p k\u00edn ho\u00e0n to\u00e0n. ###begin_context###Trong tr\u01b0\u1eddng h\u1ee3p b\u1ecb h\u1edf, mi m\u1eaft s\u1ebd kh\u00f4ng th\u1ec3 kh\u00e9p k\u00edn ho\u00e0n to\u00e0n nh\u01b0 b\u00ecnh th\u01b0\u1eddng. L\u00fac n\u00e0y ch\u1ee9c n\u0103ng b\u1ea3o v\u1ec7 gi\u1ea3m s\u00fat, d\u1ecb v\u1eadt, b\u1ee5i b\u1ea9n,\u2026 b\u00ean ngo\u00e0i c\u00f3 th\u1ec3 x\u00e2m nh\u1eadp v\u00e0o m\u1eaft g\u00e2y t\u1ed5n th\u01b0\u01a1ng v\u00e0 nhi\u1ec5m tr\u00f9ng, t\u1eeb \u0111\u00f3 \u1ea3nh h\u01b0\u1edfng nghi\u00eam tr\u1ecdng \u0111\u1ebfn th\u1ecb l\u1ef1c.###end_context### ch\u1ec9 ra r\u1eb1ng h\u1edf mi m\u1eaft \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn m\u1eaft b\u1eb1ng c\u00e1ch gi\u1ea3m kh\u1ea3 n\u0103ng b\u1ea3o v\u1ec7 v\u00e0 t\u0103ng nguy c\u01a1 t\u1ed5n th\u01b0\u01a1ng, nhi\u1ec5m tr\u00f9ng.\",\n        \"###C\u00e2u tr\u1ea3 l\u1eddi:\": \"H\u1edf mi m\u1eaft l\u00e0 t\u00ecnh tr\u1ea1ng mi m\u1eaft kh\u00f4ng th\u1ec3 kh\u00e9p k\u00edn ho\u00e0n to\u00e0n, l\u00e0m gi\u1ea3m ch\u1ee9c n\u0103ng b\u1ea3o v\u1ec7 c\u1ee7a m\u1eaft, d\u1eabn \u0111\u1ebfn nguy c\u01a1 d\u1ecb v\u1eadt, b\u1ee5i b\u1ea9n x\u00e2m nh\u1eadp, g\u00e2y t\u1ed5n th\u01b0\u01a1ng v\u00e0 nhi\u1ec5m tr\u00f9ng, \u1ea3nh h\u01b0\u1edfng nghi\u00eam tr\u1ecdng \u0111\u1ebfn th\u1ecb l\u1ef1c.\"\n        },\n        {\n        \"###C\u00e2u h\u1ecfi:\": \"Nh\u1eefng nguy\u00ean nh\u00e2n n\u00e0o g\u00e2y ra h\u1edf mi m\u1eaft?\",\n        \"###Suy lu\u1eadn:\": \"###begin_context###Nguy\u00ean nh\u00e2n g\u00e2y h\u1edf mi m\u1eaft r\u1ea5t ph\u1ee9c t\u1ea1p, \u0111\u1ec3 c\u00f3 bi\u1ec7n ph\u00e1p kh\u1eafc ph\u1ee5c hi\u1ec7u qu\u1ea3 b\u1ea1n n\u00ean t\u00ecm hi\u1ec3u l\u00fd do t\u1ea1i sao mi m\u1eaft c\u1ee7a m\u00ecnh kh\u00f4ng th\u1ec3 kh\u00e9p k\u00edn ho\u00e0n to\u00e0n.\nD\u00e2y th\u1ea7n kinh v\u1eadn \u0111\u1ed9ng c\u1ee7a mi m\u1eaft b\u1ecb li\u1ec7t, g\u00e2y \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn ph\u1ea3n x\u1ea1 \u0111\u00f3ng, m\u1edf t\u1ef1 nhi\u00ean.\nCh\u1ea5n th\u01b0\u01a1ng m\u1ea1nh l\u00e0m t\u1ed5n th\u01b0\u01a1ng c\u01a1 m\u1eb7t, c\u1ea5u tr\u00fac t\u1ea1i v\u00f9ng m\u1eaft,\u2026\nR\u1ed1i lo\u1ea1n gi\u1ea5c ng\u1ee7, thi\u1ebfu ng\u1ee7, m\u1ea5t ng\u1ee7 c\u0169ng \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn ph\u1ea3n x\u1ea1 kh\u00e9p m\u1edf mi m\u1eaft.\nM\u1eafc ph\u1ea3i c\u00e1c b\u1ec7nh v\u1ec1 m\u1eaft nh\u01b0: l\u1ed3i ho\u1eb7c l\u00f5m m\u1eaft, c\u00f3 s\u1eb9o, kh\u1ed1i u trong m\u1eaft,\u2026\nTh\u1ef1c hi\u1ec7n ph\u1eabu thu\u1eadt th\u1ea9m m\u1ef9 c\u1eaft da th\u1eeba, l\u1ea5y m\u1ee1 m\u1eaft nh\u01b0ng g\u1eb7p bi\u1ebfn ch\u1ee9ng ngay sau \u0111\u00f3.###end_context### ch\u1ec9 ra r\u1eb1ng nh\u1eefng nguy\u00ean nh\u00e2n ch\u00ednh g\u00e2y ra h\u1edf mi m\u1eaft bao g\u1ed3m d\u00e2y th\u1ea7n kinh v\u1eadn \u0111\u1ed9ng c\u1ee7a mi m\u1eaft b\u1ecb li\u1ec7t; ch\u1ea5n th\u01b0\u01a1ng m\u1ea1nh l\u00e0m t\u1ed5n th\u01b0\u01a1ng c\u01a1 m\u1eb7t, c\u1ea5u tr\u00fac t\u1ea1i v\u00f9ng m\u1eaft; r\u1ed1i lo\u1ea1n gi\u1ea5c ng\u1ee7, thi\u1ebfu ng\u1ee7, m\u1ea5t ng\u1ee7; m\u1eafc ph\u1ea3i c\u00e1c b\u1ec7nh v\u1ec1 m\u1eaft nh\u01b0: l\u1ed3i ho\u1eb7c l\u00f5m m\u1eaft, c\u00f3 s\u1eb9o, kh\u1ed1i u trong m\u1eaft.\",\n        \"###C\u00e2u tr\u1ea3 l\u1eddi:\": \"Nh\u1eefng nguy\u00ean nh\u00e2n g\u00e2y h\u1edf mi m\u1eaft bao g\u1ed3m: li\u1ec7t d\u00e2y th\u1ea7n kinh v\u1eadn \u0111\u1ed9ng c\u1ee7a mi m\u1eaft, ch\u1ea5n th\u01b0\u01a1ng m\u1ea1nh l\u00e0m t\u1ed5n th\u01b0\u01a1ng c\u01a1 m\u1eb7t ho\u1eb7c c\u1ea5u tr\u00fac v\u00f9ng m\u1eaft, r\u1ed1i lo\u1ea1n gi\u1ea5c ng\u1ee7 nh\u01b0 thi\u1ebfu ng\u1ee7 ho\u1eb7c m\u1ea5t ng\u1ee7, m\u1eafc c\u00e1c b\u1ec7nh v\u1ec1 m\u1eaft nh\u01b0 l\u1ed3i ho\u1eb7c l\u00f5m m\u1eaft, c\u00f3 s\u1eb9o, kh\u1ed1i u trong m\u1eaft, v\u00e0 bi\u1ebfn ch\u1ee9ng sau ph\u1eabu thu\u1eadt th\u1ea9m m\u1ef9 v\u00f9ng m\u1eaft.\"\n        },\n        {\n        \"###C\u00e2u h\u1ecfi:\": \"Mi m\u1eaft \u0111\u00f3ng k\u00edn c\u00f3 vai tr\u00f2 g\u00ec trong vi\u1ec7c b\u1ea3o v\u1ec7 m\u1eaft?\",\n        \"###Suy lu\u1eadn:\": \"Mi m\u1eaft \u0111\u00f3ng k\u00edn gi\u00fap ng\u0103n ch\u1eb7n b\u1ee5i b\u1ea9n v\u00e0 d\u1ecb v\u1eadt bay v\u00e0o m\u1eaft. ###begin_context###\u0110\u1eb7c bi\u1ec7t, mi m\u1eaft c\u00f3 th\u1ec3 t\u1ef1 \u0111\u1ed9ng \u0111\u00f3ng k\u00edn nh\u1eb1m ng\u0103n ch\u1eb7n b\u1ee5i b\u1ea9n, c\u00e1c v\u1eadt l\u1ea1 bay v\u00e0o. \u0110\u1ed3ng th\u1eddi th\u00f4ng qua ph\u1ea3n x\u1ea1 ch\u1edbp mi li\u00ean t\u1ee5c, tuy\u1ebfn l\u1ec7 s\u1ebd \u0111i\u1ec1u ti\u1ebft n\u01b0\u1edbc m\u1eaft v\u00e0 d\u00e0n \u0111\u1ec1u kh\u1eafp l\u00f2ng \u0111en v\u00e0 l\u00f2ng tr\u1eafng. Do \u0111\u00f3, m\u1eaft \u0111\u01b0\u1ee3c cung c\u1ea5p \u0111\u1ea7y \u0111\u1ee7 \u0111\u1ed9 \u1ea9m n\u00ean lu\u00f4n tr\u01a1n \u01b0\u1edbt, kh\u00f4ng b\u1ecb kh\u00f4 v\u00e0 nh\u00ecn ng\u1eafm m\u1ecdi v\u1eadt m\u1ed9t c\u00e1ch r\u00f5 r\u00e0ng.###end_context### ch\u1ec9 ra r\u1eb1ng mi m\u1eaft \u0111\u00f3ng k\u00edn b\u1ea3o v\u1ec7 m\u1eaft kh\u1ecfi c\u00e1c y\u1ebfu t\u1ed1 b\u00ean ngo\u00e0i v\u00e0 gi\u1eef \u1ea9m cho m\u1eaft.\",\n        \"###C\u00e2u tr\u1ea3 l\u1eddi:\": \"Mi m\u1eaft \u0111\u00f3ng k\u00edn c\u00f3 vai tr\u00f2 ng\u0103n ch\u1eb7n b\u1ee5i b\u1ea9n v\u00e0 d\u1ecb v\u1eadt x\u00e2m nh\u1eadp v\u00e0o m\u1eaft, \u0111\u1ed3ng th\u1eddi gi\u00fap tuy\u1ebfn l\u1ec7 \u0111i\u1ec1u ti\u1ebft n\u01b0\u1edbc m\u1eaft, gi\u1eef \u1ea9m cho m\u1eaft v\u00e0 duy tr\u00ec th\u1ecb l\u1ef1c r\u00f5 r\u00e0ng.\"\n        }\n    ]\n}\n```\n\n\n    \u0110\u1ebfn l\u01b0\u1ee3t b\u1ea1n:\n    ###Ng\u1eef c\u1ea3nh: Thu\u1ed1c \u0111i\u1ec1u tr\u1ecb b\u1eb1ng hormone tuy\u1ebfn gi\u00e1p th\u01b0\u1eddng \u0111\u01b0\u1ee3c d\u00f9ng \u1edf d\u1ea1ng thu\u1ed1c vi\u00ean, \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng cho ng\u01b0\u1eddi b\u1ec7nh nh\u1eb1m m\u1ee5c \u0111\u00edch:\n \u2013 Thay th\u1ebf hormone tuy\u1ebfn gi\u00e1p sau ph\u1eabu thu\u1eadt: N\u1ebfu tuy\u1ebfn gi\u00e1p c\u1ee7a ng\u01b0\u1eddi b\u1ec7nh b\u1ecb c\u1eaft b\u1ecf ho\u00e0n to\u00e0n, th\u00ec ng\u01b0\u1eddi b\u1ec7nh c\u1ea7n s\u1eed d\u1ee5ng hormone tuy\u1ebfn gi\u00e1p trong ph\u1ea7n \u0111\u1eddi c\u00f2n l\u1ea1i \u0111\u1ec3 thay th\u1ebf l\u01b0\u1ee3ng hormone t\u1ef1 nhi\u00ean m\u00e0 tuy\u1ebfn gi\u00e1p t\u1ea1o ra. \u0110\u1ed1i v\u1edbi tr\u01b0\u1eddng h\u1ee3p c\u1eaft b\u1ecf m\u1ed9t ph\u1ea7n tuy\u1ebfn gi\u00e1p, s\u1eed d\u1ee5ng hormone tuy\u1ebfn gi\u00e1p sau ph\u1eabu thu\u1eadt c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c xem x\u00e9t \u1edf m\u1ed9t s\u1ed1 tr\u01b0\u1eddng h\u1ee3p.\n \u2013 \u1ee8c ch\u1ebf s\u1ef1 ph\u00e1t tri\u1ec3n c\u1ee7a t\u1ebf b\u00e0o tuy\u1ebfn gi\u00e1p \u00e1c t\u00ednh: Li\u1ec7u ph\u00e1p hormone tuy\u1ebfn gi\u00e1p li\u1ec1u cao h\u01a1n c\u00f3 th\u1ec3 ng\u0103n ch\u1eb7n vi\u1ec7c s\u1ea3n xu\u1ea5t hormone k\u00edch th\u00edch tuy\u1ebfn gi\u00e1p (TSH) t\u1eeb tuy\u1ebfn y\u00ean. hormone k\u00edch th\u00edch tuy\u1ebfn gi\u00e1p (TSH) c\u00f3 th\u1ec3 khi\u1ebfn c\u00e1c t\u1ebf b\u00e0o ung th\u01b0 tuy\u1ebfn gi\u00e1p ph\u00e1t tri\u1ec3n. Li\u1ec7u ph\u00e1p hormone tuy\u1ebfn gi\u00e1p li\u1ec1u cao c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c khuy\u1ebfn ngh\u1ecb \u0111\u1ed1i v\u1edbi b\u1ec7nh ung th\u01b0 tuy\u1ebfn gi\u00e1p x\u00e2m l\u1ea5n.\n 3.3 Ch\u1eefa ung th\u01b0 tuy\u1ebfn gi\u00e1p b\u1eb1ng ph\u00f3ng x\u1ea1 i-\u1ed1t\n \u0110i\u1ec1u tr\u1ecb b\u1eb1ng i-\u1ed1t ph\u00f3ng x\u1ea1 l\u00e0 ph\u01b0\u01a1ng ph\u00e1p s\u1eed d\u1ee5ng b\u1ee9c x\u1ea1 \u0111\u1ec3 ti\u00eau di\u1ec7t t\u1ebf b\u00e0o ung th\u01b0. Ph\u01b0\u01a1ng ph\u00e1p n\u00e0y c\u00f3 ch\u1ee9a m\u1ed9t l\u01b0\u1ee3ng nh\u1ecf ch\u1ea5t ph\u00f3ng x\u1ea1 d\u01b0\u1edbi d\u1ea1ng vi\u00ean n\u00e9n ho\u1eb7c ch\u1ea5t l\u1ecfng \u0111\u1ec3 ng\u01b0\u1eddi b\u1ec7nh c\u00f3 th\u1ec3 u\u1ed1ng.\n Kh\u00f4ng ph\u1ea3i t\u1ea5t c\u1ea3 b\u1ec7nh nh\u00e2n ung th\u01b0 tuy\u1ebfn gi\u00e1p c\u00f3 th\u1ec3 \u0111\u00e1p \u1ee9ng ph\u01b0\u01a1ng ph\u00e1p ch\u1eefa tr\u1ecb n\u00e0y. C\u00e1ch \u0111i\u1ec1u tr\u1ecb n\u00e0y ch\u1ee7 y\u1ebfu s\u1eed d\u1ee5ng cho b\u1ec7nh nh\u00e2n ung th\u01b0 tuy\u1ebfn gi\u00e1p sau ph\u1eabu thu\u1eadt \u0111\u1ec3 ti\u00eau di\u1ec7t b\u1ea5t k\u1ef3 t\u1ebf b\u00e0o ung th\u01b0 n\u00e0o c\u00f2n s\u00f3t l\u1ea1i ho\u1eb7c gi\u00fap ng\u0103n ch\u1eb7n ung th\u01b0 quay tr\u1edf l\u1ea1i. V\u00e0 s\u1eed d\u1ee5ng \u0111\u1ec3 ng\u0103n ch\u1eb7n ung th\u01b0 quay tr\u1edf l\u1ea1i ho\u1eb7c lan sang b\u1ed9 ph\u1eadn kh\u00e1c tr\u00ean c\u01a1 th\u1ec3.\n 3.4 X\u1ea1 tr\u1ecb\n L\u00e0 ph\u01b0\u01a1ng ph\u00e1p s\u1eed d\u1ee5ng m\u1ed9t m\u00e1y h\u01b0\u1edbng c\u00e1c ch\u00f9m tia n\u0103ng l\u01b0\u1ee3ng cao ch\u1eb3ng h\u1ea1n nh\u01b0 tia X v\u00e0 proton \u0111\u1ebfn c\u00e1c \u0111i\u1ec3m ch\u00ednh x\u00e1c \u0111\u1ec3 ti\u00eau di\u1ec7t t\u1ebf b\u00e0o ung th\u01b0 tuy\u1ebfn gi\u00e1p.\n X\u1ea1 tr\u1ecb \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng trong \u0111i\u1ec1u tr\u1ecb ung th\u01b0 tuy\u1ebfn gi\u00e1p n\u1ebfu ung th\u01b0 kh\u00f4ng th\u1ec3 \u0111\u01b0\u1ee3c lo\u1ea1i b\u1ecf b\u1eb1ng ph\u1eabu thu\u1eadt; ung th\u01b0 \u0111\u00e3 lan sang m\u1ed9t b\u1ed9 ph\u1eadn kh\u00e1c c\u1ee7a c\u01a1 th\u1ec3.\n 3.5 Thu\u1ed1c nh\u1eafm m\u1ee5c ti\u00eau\n Ph\u01b0\u01a1ng ph\u00e1p ch\u1eefa ung th\u01b0 tuy\u1ebfn gi\u00e1p b\u1eb1ng thu\u1ed1c nh\u1eafm m\u1ee5c ti\u00eau t\u1eadp trung v\u00e0o \u0111\u1eb7c \u0111i\u1ec3m c\u1ee5 th\u1ec3 c\u1ee7a t\u1ebf b\u00e0o ung th\u01b0 ch\u1eb3ng h\u1ea1n nh\u01b0: Nh\u1eafm v\u00e0o c\u00e1c m\u1ea1ch m\u00e1u m\u00e0 t\u1ebf b\u00e0o ung th\u01b0 t\u1ea1o ra \u0111\u1ec3 mang ch\u1ea5t dinh d\u01b0\u1ee1ng nu\u00f4i t\u1ebf b\u00e0o t\u1ed3n t\u1ea1i, ho\u1eb7c nh\u1eafm v\u00e0o gen c\u1ee5 th\u1ec3.\n    ###\u0110\u1ea7u ra:\n    "},{"assistant_initiates":false,"asst_text":"Hillary Clinton | Politician | Former U.S. Secretary of State and 2016 Democratic Presidential candidate, influential in political and policy discussions.\nschadenfreude | Emotion | A feeling of pleasure derived by someone from another person's misfortune.\nGOP | Political Party | The Republican Party, one of the two major political parties in the United States, known for its conservative positions and policies.\nhealth-plan failure | Policy Challenge | The unsuccessful attempt to pass or implement a particular health care policy or reform.\nrepeal and replace | Legislative Initiative | Agenda by the Republican Party to repeal and replace the Affordable Care Act, a significant aspect of U.S. health policy debate.\nhealth care | Sector | Industry and policy domain concerned with the maintenance or improvement of health via prevention, diagnosis, and treatment.\nWomen in the World conference | Event | A global summit focused on women's issues and rights, often involving influential speakers and leaders.\nNew York City | Location | Major global city known for its economic, cultural, and political significance.\npublic interview | Event | An open discussion or Q&A session with media or public figures, often used for making statements or explaining positions.","behavior":"degenerate_repetition","conversation_hash":"4f3c420e6ab428eefae862732919c078","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":5525,"n_turns_in_conversation":1,"n_words":844,"source_row_offset":5102,"source_shard":"turns-00051.parquet","timestamp":"Wed, 13 Nov 2024 06:53:12 GMT","turn_id":"0cd3608ef175dc09c20dc971","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: Hillary Clinton just admitted to a schadenfreude moment after the GOP's health-plan failure . \"Having listened to them talk about repeal and replace for eight years or seven years now, and they had not a clue what that meant,\" she said Thursday. \"They had no idea. I don't know that any of them had ever even read the bill, read the law, understood how it worked.\" Clinton then said that is was \"so obvious\" and that \"health care is complicated, right?\" \"They don't know what to do. Yeah, I do admit. That was somewhat gratifying as they were going back and forth,\" she said. Clinton spoke at the Women in the World conference in New York City on Thursday in her first public interview after she lost the\nAssistant:"},{"assistant_initiates":false,"asst_text":"Americans | Demographic Group | Citizens or residents of the United States affected by economic and financial dynamics.\nunemployed | Economic Status | Individuals without employment, pertinent to economic indicators and social welfare.\nsmall business owners | Business Stakeholders | Individuals owning and managing small-scale enterprises, critical to economic development and job creation.\nfinancial challenges | Economic Condition | Difficulties in managing finances, particularly significant during economic downturns and crises.\ncoronavirus pandemic | Global Event | The COVID-19 pandemic, influencing global health, economic conditions, and policy measures.\nCongress | Governmental Body | Legislative branch of the United States government involved in creating and passing laws, including fiscal policies.\ncoronavirus stimulus package | Economic Policy | Governmental financial aid package intended to mitigate economic impact of the COVID-19 pandemic.\nSenate Majority Leader | Political Position | Leader of the majority party in the U.S. Senate, influential in legislative processes and policymaking.\nMitch McConnell | Person | U.S. Senator and Senate Majority Leader at the time, instrumental in legislative decision-making.\nRepublican Senators | Political Group | Members of the Republican Party serving in the U.S. Senate, involved in legislative activities and party platforms.\nHealth, Economic Assistance, Liability Protection and Schools (HEALS) Act | Legislative Proposal | Proposed U.S. legislation for economic relief during the COVID-19 pandemic.\n$1 trillion | Financial Figure | Total proposed budget for the HEALS Act, reflecting scale of government intervention.\neconomic impact payment | Financial Aid | Direct financial payment to individuals to stimulate economic activity, relevant in fiscal policy.\nCARES Act | Legislative Act | Previous U.S. fiscal stimulus package providing economic relief during the COVID-19 pandemic.\n$600 enhanced federal unemployment insurance | Financial Aid | Additional temporary unemployment benefits provided under the CARES Act.\nwages | Economic Measure | Compensation for work performed, central to labor economics and income analysis.\nIndependent contractors | Employment Type | Workers who provide services under a contract, distinguished from employees.\ngig workers | Employment Type | Individuals engaged in short-term or freelance work, often in the digital economy.\nself-employed workers | Employment Type | Individuals who operate their own business or trade, responsible for both business and personal finances.","behavior":"degenerate_repetition","conversation_hash":"52df404724043f5ef9d19a115f102422","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":7022,"n_turns_in_conversation":1,"n_words":1007,"source_row_offset":5103,"source_shard":"turns-00051.parquet","timestamp":"Wed, 13 Nov 2024 06:53:17 GMT","turn_id":"27d07a42a681b955f5a4309a","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: With millions of Americans unemployed , and small business owners facing nearly unprecedented financial challenges amid the coronavirus pandemic, the debate in Congress is heating up over exactly what shape the next coronavirus stimulus package will take. On Monday, Senate Majority Leader Mitch McConnell unveiled Republican Senators' coronavirus relief plan. Called the Health, Economic Assistance, Liability Protection and Schools (HEALS) Act, the $1 trillion bill proposes stimulus benefits such as a second $1,200 economic impact payment to Americans who qualify. The proposed bill would also replace the previous CARES Act's $600 enhanced federal unemployment insurance that expires this week for most Americans with payments capped at 70% of a worker's previous wages (capped at $500 per week), starting in October. Independent contractors, gig workers and self-employed workers, like\nAssistant:"}],"shard":{"index":51,"name":"turns-00051.parquet","rows":46141}}