{"behavior":"degenerate_repetition","label_filter":null,"limit":10,"next_offset":30646,"offset":30636,"previous_offset":null,"rows":[{"assistant_initiates":false,"asst_text":"1. \u041d\u0430\u0437\u0432\u0430\u043d\u0438\u0435 \u041f\u0440\u043e\u0434\u0443\u043a\u0442\u0430:  \n\u041f\u043e\u0434\u0448\u0438\u043f\u043d\u0438\u043a \u0440\u043e\u043b\u0438\u043a\u043e\u0432\u044b\u0439 \u0440\u0430\u0434\u0438\u0430\u043b\u044c\u043d\u044b\u0439 30\u044562\u044520\n\n2. \u041a\u0440\u0430\u0442\u043a\u043e\u0435 \u041e\u043f\u0438\u0441\u0430\u043d\u0438\u0435:  \n\u0412\u044b\u0441\u043e\u043a\u043e\u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0439 \u0440\u0430\u0434\u0438\u0430\u043b\u044c\u043d\u044b\u0439 \u0440\u043e\u043b\u0438\u043a\u043e\u0432\u044b\u0439 \u043f\u043e\u0434\u0448\u0438\u043f\u043d\u0438\u043a, \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0438\u0432\u0430\u044e\u0449\u0438\u0439 \u043d\u0430\u0434\u0435\u0436\u043d\u0443\u044e 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\u043f\u043e\u0434\u0448\u0438\u043f\u043d\u0438\u043a  \n\n4. \u041f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u0435 \u0438 \u041f\u0440\u0435\u0438\u043c\u0443\u0449\u0435\u0441\u0442\u0432\u0430:  \n\u041f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d \u0434\u043b\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f \u0432 \u043f\u0440\u043e\u043c\u044b\u0448\u043b\u0435\u043d\u043d\u043e\u043c \u043e\u0431\u043e\u0440\u0443\u0434\u043e\u0432\u0430\u043d\u0438\u0438, \u0430\u0432\u0442\u043e\u043c\u043e\u0431\u0438\u043b\u0435\u0439 \u0438 \u0434\u0440\u0443\u0433\u0438\u0445 \u043c\u0435\u0445\u0430\u043d\u0438\u0437\u043c\u0430\u0445, \u0433\u0434\u0435 \u0442\u0440\u0435\u0431\u0443\u0435\u0442\u0441\u044f \u0432\u044b\u0441\u043e\u043a\u0430\u044f \u0441\u0442\u043e\u0439\u043a\u043e\u0441\u0442\u044c \u043a \u043d\u0430\u0433\u0440\u0443\u0437\u043a\u0430\u043c. \u041f\u043e\u0434\u0448\u0438\u043f\u043d\u0438\u043a \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0438\u0432\u0430\u0435\u0442 \u0433\u043b\u0430\u0434\u043a\u043e\u0435 \u0432\u0440\u0430\u0449\u0435\u043d\u0438\u0435 \u0438 \u043c\u0438\u043d\u0438\u043c\u0430\u043b\u044c\u043d\u043e\u0435 \u0442\u0440\u0435\u043d\u0438\u0435, \u043f\u0440\u043e\u0434\u043b\u0435\u0432\u0430\u044f \u0441\u0440\u043e\u043a \u0441\u043b\u0443\u0436\u0431\u044b \u0442\u0435\u0445\u043d\u0438\u043a\u0438 \u0438 \u0441\u043d\u0438\u0436\u0430\u044f \u0437\u0430\u0442\u0440\u0430\u0442\u044b \u043d\u0430 \u043e\u0431\u0441\u043b\u0443\u0436\u0438\u0432\u0430\u043d\u0438\u0435.","behavior":"degenerate_repetition","conversation_hash":"03fc84963adda72eb68809925d464943","conversation_redacted":false,"conversation_toxic":false,"country":"United States","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Russian","model":"gpt-4o-2024-08-06","n_chars":1847,"n_turns_in_conversation":1,"n_words":218,"source_row_offset":30636,"source_shard":"turns-00040.parquet","timestamp":"Sun, 27 Oct 2024 19:12:54 GMT","turn_id":"fac76ce8ad5bfcd492e0e62a","turn_index":0,"user_text":"\u041f\u0440\u0438\u0434\u0443\u043c\u0430\u0439 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u0434\u043b\u044f \u043a\u0430\u0440\u0442\u043e\u0447\u043a\u0438 \u0442\u043e\u0432\u0430\u0440\u0430 \u0434\u043b\u044f \u043e\u043d\u043b\u0430\u0439\u043d \u043c\u0430\u0433\u0430\u0437\u0438\u043d\u0430. \u041e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u0434\u043e\u043b\u0436\u043d\u043e \u0431\u044b\u0442\u044c \u043d\u0430 \u0440\u0443\u0441\u0441\u043a\u043e\u043c. \u041e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u0434\u043e\u043b\u0436\u043d\u043e \u0431\u044b\u0442\u044c \u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u043c. 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\u0440\u0430\u0434\u0438\u0430\u043b\u044c\u043d\u044b\u0439 30\u044562\u044520. \u041a\u0430\u0442\u0435\u0433\u043e\u0440\u0438\u044f: \u041f\u043e\u0434\u0448\u0438\u043f\u043d\u0438\u043a\u0438 \u0440\u043e\u043b\u0438\u043a\u043e\u0432\u044b\u0435 \u0440\u0430\u0434\u0438\u0430\u043b\u044c\u043d\u044b\u0435 \u0441\u0444\u0435\u0440\u0438\u0447\u0435\u0441\u043a\u0438\u0435"},{"assistant_initiates":false,"asst_text":"Question: Ajay Sikka influences company control changes.\nlabel: Yes\nQuestion: Company easily acquired by third party.\nlabel: No\nQuestion: Company stock trades actively.\nlabel: No\nQuestion: Stock symbol is TRIQ.\nlabel: Yes\nQuestion: Company listed on Nasdaq Capital Market.\nlabel: No\nQuestion: Market for company stock may develop.\nlabel: Yes","behavior":"degenerate_repetition","conversation_hash":"044e758b16eb19c2d480613fe4ad0622","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":2237,"n_turns_in_conversation":1,"n_words":367,"source_row_offset":30637,"source_shard":"turns-00040.parquet","timestamp":"Sun, 27 Oct 2024 19:12:55 GMT","turn_id":"2cea8240c0f48752af24fe67","turn_index":0,"user_text":"System: You are an expert Data Annotator. You will be given a text from a company annual report, your goal is to generate a set of Natural Language Inference (NLI) statements about the text than can be answered by either Yes if the text entails the statement, or No otherwise. Do not include any numerical reasoning or numbers in the statements.\n\nStep 1: Read the paragraph carefully. \nStep 2: For each relevant task you identify, generate two short statements that are shorter than 10 words \nStep 3: Output the results in the following format:\n\nQuestion: <The statement>\nlabel: <Yes or No>\nQuestion: <Another statement>\nlabel: <Yes or No>\n...\n\nUser: Ajay Sikka has substantial influence over the decision as to whether a change in control will occur for our company. There are also provisions contained in our articles of incorporation, by-laws and California law that could make it more difficult for a third party to acquire control of TraQiQ. These restrictions and limitations could adversely affect the trading price of our common stock._There is currently not an active liquid trading market for the Company\u2019s common stock._Our common stock is quoted on the OTC Markets QB tier under the symbol \u201cTRIQ\u201d. However, there is currently no regular active trading market in our common stock. Although there are periodic volume spikes from time to time, a consistent, active trading market may not develop. Whether or not in the future our common stock is listed on the Nasdaq Capital Market, there is no assurance an active trading market for our common stock will develop or be sustained or that we will remain eligible for continued listing on the Nasdaq Capital Market. If an active market for our common stock develops, there is a significant risk that our stock price may fluctuate in the future in response to any of the following factors, some of which are beyond our control:_\nAssistant:"},{"assistant_initiates":false,"asst_text":"Question: Former employees may claim patent interest.\nlabel: Yes\n\nQuestion: We face no risks of inventorship disputes.\nlabel: No\n\nQuestion: Litigation may be necessary to defend our patents.\nlabel: Yes\n\nQuestion: All software development agreements secure our IP ownership.\nlabel: No\n\nQuestion: We may need licenses from third parties.\nlabel: Yes\n\nQuestion: All necessary licenses are easily obtainable.\nlabel: No\n\nQuestion: Litigation is always inexpensive.\nlabel: No\n\nQuestion: IP disputes could impact our business significantly.\nlabel: Yes","behavior":"degenerate_repetition","conversation_hash":"3a5abcee891aed08a174295d5c163b78","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":3802,"n_turns_in_conversation":1,"n_words":583,"source_row_offset":30638,"source_shard":"turns-00040.parquet","timestamp":"Sun, 27 Oct 2024 19:13:00 GMT","turn_id":"811f739c271650f0dec0efcf","turn_index":0,"user_text":"System: You are an expert Data Annotator. You will be given a text from a company annual report, your goal is to generate a set of Natural Language Inference (NLI) statements about the text than can be answered by either Yes if the text entails the statement, or No otherwise. Do not include any numerical reasoning or numbers in the statements.\n\nStep 1: Read the paragraph carefully. \nStep 2: For each relevant task you identify, generate two short statements that are shorter than 10 words \nStep 3: Output the results in the following format:\n\nQuestion: <The statement>\nlabel: <Yes or No>\nQuestion: <Another statement>\nlabel: <Yes or No>\n...\n\nUser: We may be subject to claims that former employees, collaborators or other third parties have an interest in our patents, trade secrets or other intellectual property as an inventor or co-inventor. For example, we may have inventorship disputes arise from conflicting obligations of employees, consultants or others who are involved in developing our tests and technology. In addition, counterparties to our consulting, sponsored research, software development and other agreements may assert that they have an ownership interest in intellectual property developed under such arrangements. In particular, certain software development agreements pursuant to which certain third parties have developed parts of our proprietary software may not include provisions that expressly assign to us ownership of all intellectual property developed for us by such third parties. As such, we may not have the right to use all such developed intellectual property under such agreements, we may be required to obtain licenses from third parties and such licenses may not be available on commercially reasonable terms or at all, or may be non-exclusive. If we are unable to obtain such licenses and such licenses are necessary for the development, manufacture, and commercialization of our tests and technology, we may need to cease the development, manufacture, and commercialization of our tests and technology. Litigation may be necessary to defend against these and other claims challenging inventorship of our patents, trade secrets or other intellectual property. If we fail in defending any such claims, in addition to paying monetary damages, we may lose valuable intellectual property rights, such as exclusive ownership of, or right to use, intellectual property that is important to our business, including our software, workflows, consumables, and reagent kits. In such an event, we may be required to obtain licenses from third parties and such licenses may not be available on commercially reasonable terms or at all, or may be non-exclusive. If we are unable to obtain and maintain such licenses, we may need to cease the development, manufacture, and commercialization of our tests and technology. Even if we are successful in defending against such claims, litigation could result in substantial costs and be a distraction to management and other employees, and certain customers or partners may defer engaging with us until the particular dispute is resolved. Any of the foregoing could have a material adverse effect on our business, financial condition, results of operations, and prospects._\nAssistant:"},{"assistant_initiates":false,"asst_text":"```json\n{\n    'relevant_tasks': [\n        {\n            'task': 'Risk Classification',\n            'examples': [\n                {\n                    'input': 'The paragraph entails that manufacturing equipment used in hazardous industries comes with significant risks, such as blowouts and severe weather conditions.',\n                    'label': 'entailment',\n                },\n                {\n                    'input': 'The paragraph entails that the products do not face any risks during their operations.',\n                    'label': 'non-entailment',\n                }\n            ]\n        },\n        {\n            'task': 'Sector Identification',\n            'examples': [\n                {\n                    'input': 'The paragraph entails that the company is involved in the offshore oilfield business.',\n                    'label': 'entailment',\n                },\n                {\n                    'input': 'The paragraph entails that the company is primarily involved in the agricultural sector.',\n                    'label': 'non-entailment',\n                }\n            ]\n        },\n        {\n            'task': 'Impact Classification',\n            'examples': [\n                {\n                    'input': 'The paragraph entails that significant events could materially and adversely affect the company\u2019s financial condition.',\n                    'label': 'entailment',\n                },\n                {\n                    'input': 'The paragraph entails that events have no material impact on the company\u2019s financial condition.',\n                    'label': 'non-entailment',\n                }\n            ]\n        },\n        {\n            'task': 'Uncertainty Identification',\n            'examples': [\n                {\n                    'input': 'The paragraph entails uncertainty regarding whether the insurance and contractual indemnity protection will be sufficient.',\n                    'label': 'entailment',\n                },\n                {\n                    'input': 'The paragraph entails certainty that insurance and indemnity protection will always be sufficient.',\n                    'label': 'non-entailment',\n                }\n            ]\n        }\n    ]\n}\n```","behavior":"degenerate_repetition","conversation_hash":"809aa6fd6eeb54f909ebcb458f8d180f","conversation_redacted":false,"conversation_toxic":false,"country":"","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":4968,"n_turns_in_conversation":1,"n_words":565,"source_row_offset":30639,"source_shard":"turns-00040.parquet","timestamp":"Sun, 27 Oct 2024 19:13:02 GMT","turn_id":"e204867bbbe57c5d1b7efcce","turn_index":0,"user_text":"System: You are provided with a paragraph. Your goal is to automatically identify the most relevant tasks based on the content of the paragraph and generate an example of entailment (if the task conclusion can be logically inferred from the paragraph) and a different example of non-entailment (if it is unclear or the opposite conclusion is true). \n\nStep 1: Read the paragraph carefully. \nStep 2: Automatically decide which tasks are relevant based on the paragraph\u2019s content. Relevant tasks may include, but are not limited to: \n    - Topic Classification \n    - Risk Classification\n    - Sentiment Classification \n    - Tone Classification\n    - Event Detection \n    - Entity Recognition \n    - Geographical Recognition \n    - Trend Detection \n    - Intent Detection \n    - Sector Identification \n    - Impact Classification \n    - Tense Identification (Past, Present, Future) \n    - Uncertainty Identification \n\nStep 3: For each relevant task you identify, generate two clear and concise examples whose labels match common practices for the task at hand: one for entailment and one for non-entailment. The example should speak about the text at the 3rd person. \nStep 4: Output the results in the following JSON format:\n\n{\n    'relevant_tasks': [\n        {\n            'task': <The automatically selected relevant task>,\n            'examples': [\n                {\n                    'input': <The entailment example based on the paragraph>,\n                    'label': 'entailment',\n                },\n                {\n                    'input': <The non-entailment example (neutral or contradiction) based on the paragraph>,\n                    'label': 'non-entailment',\n                }\n            ]\n        },\n        ...\n    ]\n}\nUser: The products that we manufacture and the services that we provide are complex, and the failure of our equipment to operate properly or to meet specifications may greatly increase our customers' costs. In addition, many of these products are used in inherently hazardous industries, such as the offshore oilfield business. These hazards include blowouts, explosions, unplanned or uncontrolled releases, nuclear-related events, fires, collisions, capsizings, and severe weather conditions. We may incur substantial liabilities or losses as a result of these hazards. Our insurance and contractual indemnity protection may not be sufficient or effective to protect us under all circumstances or against all risks. The occurrence of a significant event, against which we were not fully insured or indemnified or the failure of a customer to meet its indemnification obligations to us, could materially and adversely affect our results of operations and financial condition.\nAssistant:"},{"assistant_initiates":false,"asst_text":"1. \u041d\u0430\u0437\u0432\u0430\u043d\u0438\u0435 \u041f\u0440\u043e\u0434\u0443\u043a\u0442\u0430  \n\u041f\u043e\u0434\u0448\u0438\u043f\u043d\u0438\u043a \u0441\u043a\u043e\u043b\u044c\u0436\u0435\u043d\u0438\u044f 40\u044562\u044522/28\n\n2. \u041a\u0440\u0430\u0442\u043a\u043e\u0435 \u041e\u043f\u0438\u0441\u0430\u043d\u0438\u0435  \n\u0412\u044b\u0441\u043e\u043a\u043e\u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0439 \u043f\u043e\u0434\u0448\u0438\u043f\u043d\u0438\u043a \u0441\u043a\u043e\u043b\u044c\u0436\u0435\u043d\u0438\u044f, \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0438\u0432\u0430\u044e\u0449\u0438\u0439 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\u043f\u043e\u0434\u0445\u043e\u0434\u0438\u0442 \u0434\u043b\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f \u0432 \u043f\u0440\u043e\u043c\u044b\u0448\u043b\u0435\u043d\u043d\u044b\u0445 \u0438 \u0431\u044b\u0442\u043e\u0432\u044b\u0445 \u043c\u0435\u0445\u0430\u043d\u0438\u0437\u043c\u0430\u0445, \u0433\u0434\u0435 \u0442\u0440\u0435\u0431\u0443\u0435\u0442\u0441\u044f \u0441\u043d\u0438\u0436\u0435\u043d\u0438\u0435 \u0442\u0440\u0435\u043d\u0438\u044f \u0438 \u043f\u043e\u0432\u044b\u0448\u0435\u043d\u0438\u0435 \u0438\u0437\u043d\u043e\u0441\u043e\u0441\u0442\u043e\u0439\u043a\u043e\u0441\u0442\u0438. \u041f\u0440\u0435\u0438\u043c\u0443\u0449\u0435\u0441\u0442\u0432\u0430 \u0432\u043a\u043b\u044e\u0447\u0430\u044e\u0442 \u0443\u043c\u0435\u043d\u044c\u0448\u0435\u043d\u0438\u0435 \u0448\u0443\u043c\u0430 \u0438 \u0432\u0438\u0431\u0440\u0430\u0446\u0438\u0439, \u0430 \u0442\u0430\u043a\u0436\u0435 \u0443\u043b\u0443\u0447\u0448\u0435\u043d\u0438\u0435 \u044d\u0444\u0444\u0435\u043a\u0442\u0438\u0432\u043d\u043e\u0441\u0442\u0438 \u0440\u0430\u0431\u043e\u0442\u044b \u043e\u0431\u043e\u0440\u0443\u0434\u043e\u0432\u0430\u043d\u0438\u044f.","behavior":"degenerate_repetition","conversation_hash":"42341babde6a191d028738e8a8650964","conversation_redacted":false,"conversation_toxic":false,"country":"Japan","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Russian","model":"gpt-4o-2024-08-06","n_chars":1711,"n_turns_in_conversation":1,"n_words":201,"source_row_offset":30640,"source_shard":"turns-00040.parquet","timestamp":"Sun, 27 Oct 2024 19:13:03 GMT","turn_id":"4f46a6af6fa29e4347be11db","turn_index":0,"user_text":"\u041f\u0440\u0438\u0434\u0443\u043c\u0430\u0439 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u0434\u043b\u044f \u043a\u0430\u0440\u0442\u043e\u0447\u043a\u0438 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praised the Company's governance.\nlabel: No\nQuestion: Criticism was about strategic direction.\nlabel: Yes\nQuestion: No criticisms were made by affiliates.\nlabel: No\nQuestion: Company is evaluating Steamboat's nomination.\nlabel: Yes\nQuestion: Steamboat\u2019s nomination was immediately accepted.\nlabel: No\nQuestion: Stockholder activism is decreasing.\nlabel: No\nQuestion: Parallel49 Equity owns controlling interest.\nlabel: Yes","behavior":"degenerate_repetition","conversation_hash":"f5823867323dedc4ad9e18adfc6f90d8","conversation_redacted":false,"conversation_toxic":false,"country":"Mexico","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":2406,"n_turns_in_conversation":1,"n_words":361,"source_row_offset":30641,"source_shard":"turns-00040.parquet","timestamp":"Sun, 27 Oct 2024 19:13:07 GMT","turn_id":"7a6035069917547482143c3d","turn_index":0,"user_text":"System: You are an expert Data Annotator. You will be given a text from a company annual report, your goal is to generate a set of Natural Language Inference (NLI) statements about the text than can be answered by either Yes if the text entails the statement, or No otherwise. Do not include any numerical reasoning or numbers in the statements.\n\nStep 1: Read the paragraph carefully. \nStep 2: For each relevant task you identify, generate two short statements that are shorter than 10 words \nStep 3: Output the results in the following format:\n\nQuestion: <The statement>\nlabel: <Yes or No>\nQuestion: <Another statement>\nlabel: <Yes or No>\n...\n\nUser: Stockholder activism, which could take many forms or arise in a variety of situations, has become increasingly prevalent in recent years. On February 24, 2023, Steamboat Capital Partners Master Fund, LP (\u201cSteamboat\u201d) delivered a notice to us indicating its intent to nominate its managing member as a director candidate to stand for election as a director at our 2023 annual meeting of stockholders, which was preceded by criticisms publicly expressed by an affiliate Steamboat regarding the Company\u2019s strategic direction, capital allocation priorities and corporate governance. The Company is evaluating this purported nomination. An affiliate of Steamboat has criticized us, and we could face criticism from others, for risks associated with Parallel49 Equity\u2019s controlling ownership interest in the Company. We could become more prone to stockholder activist demands in the event Parallel49 Equity reduces its ownership in the Company. Additionally, we have in the past been subject to securities litigation following volatility in the price of our common stock, and may again be subject to securities litigation, including as a result of the volatility in the price of our common stock, related to stockholder activism, or otherwise._\nAssistant:"},{"assistant_initiates":false,"asst_text":"Steve Allen took on the challenging role of Benny Goodman in \"The Benny Goodman Story.\" Although he met Goodman during filming, Allen later shared that the musician's real personality wasn't as pleasant as portrayed in the movie. This insight highlights the contrast between the character in the film and the real individual. Moving on to Allen's television career, he hosted \"The Steve Allen Plymouth Show.\" On July 1, 1956, his second program featured Elvis Presley and Andy Griffith, though at different times. Elvis memorably performed \"Hound Dog\" to a Basset hound in a top hat, boosting the show's ratings significantly.\n\nDuring his high school years, Allen moved from Hyde Park in Chicago to Phoenix Union High School. Despite joining late, he gained recognition in the yearbook for numerous activities including the Annual Staff and Scribble and Blot. Notably, his senior picture lacked his trademark glasses. Post high school, he attended Arizona State University Tempe, known then as the State Teacher\u2019s College. His career took a turn as he left college early, influenced by his parents' vaudeville background, to work as a disc jockey at KOY radio in Phoenix. Reply finished.","behavior":"degenerate_repetition","conversation_hash":"e18a570f4f9320d875fe7c58dc69bb2c","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":5385,"n_turns_in_conversation":1,"n_words":849,"source_row_offset":30642,"source_shard":"turns-00040.parquet","timestamp":"Sun, 27 Oct 2024 19:13:08 GMT","turn_id":"39ec68202921c45d00bd91b8","turn_index":0,"user_text":"Generate a detailed and concise text with a simple straightfoward language focusing on the topics i will give you about writer Steve Allen . I'm looking for a straightforward and non-flowery style in this article with minimal use of adjectives. Please use simple and easily understandable language throughout the article. Please avoid unnecessary repetition of dates and times in your responses unless they are directly relevant to the context. This is used for a middle part in our script. Cut out intro and outro and jump right into the given facts. Using the information provided, craft a narrative or response that begins with a general statement or an engaging opening sentence: \n1: Steve Allen as Benny Goodman in The Benny Goodman Story. In later interviews about the film, Steve Allen admitted that the real Benny Goodman (who he had met during the making of the film) was not nearly as pleasant an individual as Allen had portrayed him in the movie.\n2: On just his second The Steve Allen Plymouth Show (1956) program, as host, on July 1, 1956, Elvis Presley and Andy Griffith were on the show, but performed at different times during the program. Elvis sang \"Hound Dog\" to a Bassett hound wearing a top hat, on this program. The appearance of both entertainers on the same show skyrocketed the show's ratings.\n3: During his 1940-1941 school year, he transferred to Phoenix Union High School from Hyde Park in Chicago. In spite of a late start he still received credit in the yearbook for the Annual Staff, Journal Staff, Mor Follies, Entertainment Committee, Scribble and Blot. His trademark glasses are missing from his senior picture. Following high school, he attended Arizona State University Tempe in 1942 when it was the State Teacher's College. In a matter of months his parent's vaudeville blood got the better of him, and he dropped out to work as a disc jockey at KOY radio in Phoenix.\n\n\n        Instructions:{ Please write an interesting script with the given context without adding any introductory or concluding remarks.\n        In case you find some more information about this topic then use all information you have to create a large text about this topic.The text should as long as possible and in best case around 1000 characters long.\n        Ensure that there are no emojis, text within brackets, parentheses, or similar symbols in the response. \n        Provide a single coherent response without rephrasing or repeating titles or headings. Avoid enumerations or bullet points. \n        The text is intended for older adults; use simple vocabulary appropriate for a middle school reading level. Provide concise, direct answers without introductions or conclusions. \n        Use transition words at the beginning of your reply instead of the subject name and leave the end open without a concluding sentence. \n        It is very important to provide only the final output without any additional comments or remarks for example: 'Certainly!' Here's the revised text.\n         \n        Please provide the text directly without any labels such as \"Conclusion:\", \"Introduction:\", or \"Transition:\". Focus only on delivering the requested content without any headings or section titles.\n        Please generate a complete and coherent response based on the provided input. Ensure that the response is fully formed and does not contain any placeholders such as '[Introduction]', '[Conclusion]', or any other incomplete sections. \n        The text should flow naturally without any gaps or missing information, and no placeholder markers or brackets should be used. \n        Please respond to my question, and always conclude your reply with the words \"Reply finished\" to indicate that your response is complete. \n        Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.}\n         Please respond to my question, and always conclude your reply with the words 'Reply finished' to indicate that your response is complete. Ensure that the text is fully formed without any placeholders such as '[Conclusion]' or '[Placeholder]'. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you."},{"assistant_initiates":false,"asst_text":"**1. \u041d\u0430\u0437\u0432\u0430\u043d\u0438\u0435 \u041f\u0440\u043e\u0434\u0443\u043a\u0442\u0430**  \n\u041f\u043e\u0434\u0448\u0438\u043f\u043d\u0438\u043a \u0441\u043a\u043e\u043b\u044c\u0436\u0435\u043d\u0438\u044f 50\u044575\u044528/35\n\n**2. \u041a\u0440\u0430\u0442\u043a\u043e\u0435 \u041e\u043f\u0438\u0441\u0430\u043d\u0438\u0435**  \n\u0422\u043e\u0447\u043d\u044b\u0439 \u0438 \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u043f\u043e\u0434\u0448\u0438\u043f\u043d\u0438\u043a \u0441\u043a\u043e\u043b\u044c\u0436\u0435\u043d\u0438\u044f, \u0438\u0434\u0435\u0430\u043b\u044c\u043d\u043e \u043f\u043e\u0434\u0445\u043e\u0434\u044f\u0449\u0438\u0439 \u0434\u043b\u044f \u0432\u044b\u0441\u043e\u043a\u043e\u043d\u0430\u0433\u0440\u0443\u0436\u0435\u043d\u043d\u044b\u0445 \u043c\u0435\u0445\u0430\u043d\u0438\u0437\u043c\u043e\u0432, \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0438\u0432\u0430\u0435\u0442 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\u0443\u0441\u043b\u043e\u0432\u0438\u044f\u0445, \u0442\u0440\u0435\u0431\u0443\u044e\u0449\u0438\u0445 \u043d\u0430\u0434\u0435\u0436\u043d\u043e\u0441\u0442\u0438 \u0438 \u0443\u0441\u0442\u043e\u0439\u0447\u0438\u0432\u043e\u0441\u0442\u0438 \u043a \u043d\u0430\u0433\u0440\u0443\u0437\u043a\u0430\u043c.","behavior":"degenerate_repetition","conversation_hash":"2bb828c3835a9ce59483cd5da13ab182","conversation_redacted":false,"conversation_toxic":false,"country":"Japan","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Russian","model":"gpt-4o-2024-08-06","n_chars":1789,"n_turns_in_conversation":1,"n_words":210,"source_row_offset":30643,"source_shard":"turns-00040.parquet","timestamp":"Sun, 27 Oct 2024 19:13:09 GMT","turn_id":"8adda9d144be7b501e1f14b1","turn_index":0,"user_text":"\u041f\u0440\u0438\u0434\u0443\u043c\u0430\u0439 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 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indefinite-lived intangible assets.\nlabel: Yes\n\nQuestion: Impairment tests are done only annually.\nlabel: No\n\nQuestion: Goodwill represents acquired business value.\nlabel: Yes\n\nQuestion: Divestitures increase goodwill value.\nlabel: No\n\nQuestion: Impairment can affect financial condition.\nlabel: Yes","behavior":"degenerate_repetition","conversation_hash":"8d4fbe6fc926da47853ae6d94ecf3aeb","conversation_redacted":false,"conversation_toxic":false,"country":"France","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-2024-08-06","n_chars":2601,"n_turns_in_conversation":1,"n_words":391,"source_row_offset":30644,"source_shard":"turns-00040.parquet","timestamp":"Sun, 27 Oct 2024 19:13:12 GMT","turn_id":"616b7fc55fcb771595736965","turn_index":0,"user_text":"System: You are an expert Data Annotator. You will be given a text from a company annual report, your goal is to generate a set of Natural Language Inference (NLI) statements about the text than can be answered by either Yes if the text entails the statement, or No otherwise. Do not include any numerical reasoning or numbers in the statements.\n\nStep 1: Read the paragraph carefully. \nStep 2: For each relevant task you identify, generate two short statements that are shorter than 10 words \nStep 3: Output the results in the following format:\n\nQuestion: <The statement>\nlabel: <Yes or No>\nQuestion: <Another statement>\nlabel: <Yes or No>\n...\n\nUser: We have a significant amount of goodwill and purchased intangible assets on our balance sheet as a result of acquisitions we have completed. As of December 31, 2016, the net carrying value of our goodwill and other indefinite-lived intangible assets totaled approximately $3 billion The carrying value of goodwill represents the fair value of an acquired business in excess of identifiable assets and liabilities as of the acquisition date. The carrying value of indefinite-lived intangible assets represents the fair value of trademarks and trade names as of the acquisition date. We do not amortize goodwill and indefinite-lived intangible assets that we expect to contribute indefinitely to our cash flows, but instead we evaluate these assets for impairment at least annually, or more frequently if interim indicators suggest that a potential impairment could exist. In testing for impairment, we will make a qualitative assessment, and if we believe that it is more likely than not that the fair value of a reporting unit is less than its carrying amount, the quantitative two-step goodwill impairment test is required. Significant negative industry or economic trends, disruptions to our business, inability to effectively integrate acquired businesses, unexpected significant changes or planned changes in use of the assets, divestitures and market capitalization declines may impair our goodwill and other indefinite-lived intangible assets. Any charges relating to such impairments could adversely affect our results of operations and financial condition._\nAssistant:"},{"assistant_initiates":false,"asst_text":"Hello! How can I assist you today?","behavior":"degenerate_repetition","conversation_hash":"d6a9b5ec7baa0024275770df10b2d3b3","conversation_redacted":false,"conversation_toxic":false,"country":"Germany","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Nolang","model":"gpt-4o-mini-2024-07-18","n_chars":34,"n_turns_in_conversation":1,"n_words":7,"source_row_offset":30645,"source_shard":"turns-00040.parquet","timestamp":"Sun, 27 Oct 2024 19:13:16 GMT","turn_id":"5f50cb38f32ec211f62109db","turn_index":0,"user_text":""}],"shard":{"index":40,"name":"turns-00040.parquet","rows":45683}}