Respan Dataset Explorer

Дальше

Даль уходят вновь они,
Но с надеждой я в пути.
Всё, что важно, сохраню,
В сердце память бережно храню.

Ветер гонит облака,
Смысла поиски близки.
Знаю, жизнь не так легка,
Но исполню все мечты.

Пусть бушуют впереди
Волны, бури и шторма,
Я вперёд с надеждой мчусь,
Верь, со мной моя звезда.

Дальше

Снова мир вокруг поёт,  
Словно эхом дальних грёз,  
И надежда вдаль ведёт,  
Как внезапный майский дождь.  

Берега уже видны,  
Несмотря на путь вдали,  
Мысли светлые полны,  
Будто паруса любви.  

Этот путь — мой новый дом,  
Где рождаются мечты.  
Мы теперь вдвоём плывём,  
Обещая свет и сны.  

Придумай текст песни для клубной музыки

(Припев)  
В этой ночи, где ритм живет,  
Мы танцуем до утра, никто не устает.  
Свет неона, музыка в сердцах,  
Это наш момент, теряемся в мечтах.

(Куплет 1)  
Свето-тени на стенах, движенье без границ,  
Вспыхнет искра желанья, забываем про часы.  
Звуки бьются в такт сердца, кадры словно из кино,  
Мы в потоке света, в ритме нового дня.

(Припев)  
В этой ночи, где ритм живет,  
Мы танцуем до утра, никто не устает.  
Свет неона, музыка в сердцах,  
Это наш момент, теряемся в мечтах.

(Бридж)  
Все мечты реальны, если ты здесь и сейчас,  
Отпусти все страхи, дай свободе шанс.  
Мы сияем ярко, как звезды в вышине,  
Следуй за мечтами, в ритме клубной волны.

(Куплет 2)  
Здесь нет места грусти, только добрый свет,  
Мы танцуем вместе, оставляя след.  
Светятся улыбки, руки в небо — вверх,  
Каждый миг особенный, каждый вздох как первый след.

(Припев)  
В этой ночи, где ритм живет,  
Мы танцуем до утра, никто не устает.  
Свет неона, музыка в сердцах,  
Это наш момент, теряемся в мечтах.

(Заключение)  
Когда утро встретит, вспомним этот миг,  
Как искры в темноте, слева направо, быстро миг.  
Но пока мы в движении, пока это здесь,  
Танцем наполняем ночь, дарим всем чудес.

System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.

Ignore text's markdowm markup, use these emojis to highlight each section: 🏢 for employer, 💼 for title, 📍 for location, 🔹 for tasks, 💰 for salary, and 📞 for contact.

Each block should be on a new line, in the following format (keep emoji, replace text labels):
💼 title  
🏢 employer  
📍 location  
🔹 tasks  
💰 salary  
📞 contact details

Make sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.

==TEXT==

User: Программист 1С
От 150 000 ₽ на руки

Обязанности:
• Разработка функционала информационной системы на платформе 1С:8.3 по техническим заданиям;
• Реализация интеграций баз на платформе 1С с внешними системами;
• Доработка правил обмена между конфигурациями 1С;
• Описание разработанных механизмов, документирование решений;
• Участие в проектах компании;
• Исправление ошибок, рефакторинг кода в системах 1С, максимальное использование функций библиотеки стандартных подсистем.

Требования:
• Высшее техническое образование;
• Опыт работы программистом 1С от 3 лет с одной из типовых конфигураций: 1С: УТ, 1С: УНФ, 1С: Бухгалтерия предприятие 3;
• Знание стандартов разработки 1С;
• Опыт интеграции баз 1С с базами 1С и другими системами, используя web-сервисы, API, умение реализовать загрузку, выгрузку данных с использованием файлов Excel, XML, JSON.

Мы предлагаем:
• Официальное трудоустройство по ТК РФ (оплата больничных и отпусков);
• График работы 5/2 с 9:00 до 18:00, возможен гибридный и удаленный график работы;
• Работа в профессиональном и увлеченном коллективе;
• Испытательный срок 3 месяца;
• Интересные проекты и задачи.

Контакты:
<PRESIDIO_ANONYMIZED_PHONE_NUMBER>
itdirector-info@yandex.ru
Assistant:

💼 Программист 1С  
🏢 Не указано  
📍 Не указано  
🔹 Разработка функционала на платформе 1С:8.3 по техническим заданиям и реализация интеграций с внешними системами  
💰 От 150 000 ₽ на руки  
📞 <PRESIDIO_ANONYMIZED_PHONE_NUMBER>, itdirector-info@yandex.ru

можешь ли ты просмотреть эт овидео и сказать о чём оно? https://youtu.be/YzseYjcRijw?si=5HbdYTzHZhtYQL0d

К сожалению, я не могу просматривать видео напрямую. Однако вы можете описать его содержание или основные моменты, и я постараюсь помочь вам разобраться или ответить на ваши вопросы.

System: Create a comprehensive dataset for financial entity recognition. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.

Ensure the following:
    Label All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.
    Define New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.
    Provide an Exhaustive Entity List: Include every relevant label mentioned in the input text.

Respond in the following format:
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...
Input:
User: Mexican airline Volaris expects to reach an agreement with engine maker Pratt & Whitney in the next month on an initial round of mandatory motor inspections, the company's chief executive said on Wednesday. The inspections, required after RTX Corp-owned Pratt & Whitney discovered a rare powder metal defect, could continue into 2024 and 2025, Volaris Chief Executive Enrique Beltranena said in a call with analysts. Of Volaris' 126-aircraft fleet, 73 "may be temporarily affected," Beltranena said, representing a major hit to the company.
Assistant:

1. Mexican airline Volaris | Company | A commercial airline operating in Mexico.
2. Volaris | Company | A commercial airline operating in Mexico.
3. Pratt & Whitney | Company | An American aerospace manufacturer specializing in the production of engines.
4. RTX Corp | Company | An American multinational conglomerate and parent company of Pratt & Whitney.
5. Enrique Beltranena | Person | Chief Executive of Volaris.
6. 126-aircraft fleet | Asset | The total number of aircraft currently owned and operated by Volaris.
7. 73 "may be temporarily affected" | Operational impact | The portion of Volaris' fleet that may face operational disruptions due to engine inspections.
8. engine inspections | Regulatory procedure | A series of mandatory checks on aircraft engines to ensure safety and compliance.
9. powder metal defect | Technical issue | A specific manufacturing defect discovered in engine components.
10. 2024 and 2025 | Time period | The potential years during which engine inspections might continue.

System: Create a comprehensive dataset for financial entity recognition. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.

Ensure the following:
    Label All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.
    Define New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.
    Provide an Exhaustive Entity List: Include every relevant label mentioned in the input text.

Respond in the following format:
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...
Input:
User: T-Mobile (TMUS) reported mixed third quarter results. Adjusted earnings of $1.82 per share handily topped Wall Street expectations of $1.69, but revenue of $19.30 billion was about in line with estimates of $19.34 billion. T-Mobile CEO Mike Sievert tells Yahoo Finance Live that "our strategy is remarkably consistent and you saw that that's delivering remarkably consistent performance... we're just in a great spot." When it comes to competition, Sievert says that it has been stable but "also competitively intense," adding that "customers are winning" as a result. Sievert notes the company's highest-end rate plan is also its most popular, saying that customers want the T-Mobile network. When it comes to the consumer being financially stressed due to student loan payments resuming and interest rates rising, Sievert says the company is noticing, but not because of issues with customers paying their bills. Instead, Sievert argues there may be a "flight to value" that T-Mobile could benefit from. Watch the video above to find out what Sievert has to say about the upcoming 2024 elections. For more expert insight and the latest market action, click here to watch this full episode of Yahoo Finance Live.
Assistant:

T-Mobile (TMUS) | Company | A major telecommunications company in the financial domain,
Mike Sievert | Person | CEO of T-Mobile, an important figure in the financial and business context,
Wall Street expectations | Financial Estimate | Analysts' forecast for financial metrics such as earnings,
Adjusted earnings | Financial Metric | Earnings adjusted for specific items to provide a clearer financial picture,
Revenue | Financial Metric | Total income generated by a company during a specific period,
Yahoo Finance Live | Media Platform | A platform providing financial news and insights,
Strategy | Business Concept | A plan of action designed to achieve a long-term or overall aim in business,
Competition | Market Concept | Rivalry between companies in the same industry seeking to achieve greater success,
Customers | Market Entity | Individuals or entities that purchase goods or services from a company,
Highest-end rate plan | Product Offering | The most premium plan offered by T-Mobile,
Network | Business Infrastructure | The telecommunications infrastructure provided by T-Mobile,
Financially stressed | Economic Condition | The state of having financial difficulties or pressures,
Student loan payments | Financial Obligation | Repayments made towards borrowed money for education,
Interest rates | Economic Indicator | The cost of borrowing money, typically expressed as a percentage,
Flight to value | Investment Strategy | A financial strategy where consumers seek assets or plans offering better value,
2024 elections | Political Event | Upcoming political event that may influence market conditions,
Market action | Financial Activity | Activities or changes in the financial markets, including stock movements and economic events.

System: Create a comprehensive dataset for financial entity recognition. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.

Ensure the following:
    Label All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.
    Define New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.
    Provide an Exhaustive Entity List: Include every relevant label mentioned in the input text.

Respond in the following format:
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...
Input:
User: The price hikes come as streaming prices balloon across the board.
Assistant:

The price hikes | Price Change Event | An occurrence or trend indicating an increase in prices.
streaming prices | Pricing Entity | Refers to the cost of streaming services.
balloon | Economic Trend | A term describing a rapid and significant increase, typically used in the context of prices or markets.

System: Create a comprehensive dataset for financial entity recognition. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.

Ensure the following:
    Label All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.
    Define New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.
    Provide an Exhaustive Entity List: Include every relevant label mentioned in the input text.

Respond in the following format:
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...
Input:
User: As Tesla sheds prices of its most popular models to secure its market share, many other manufacturers are looking to challenge Elon Musk's electric car giant with their own EVs. Toyota luxury division Lexus has just upped the ante in the electric car market, as it unveiled the futuristic LF-ZC and LF-ZL concept cars at the Japan Mobility Show in Tokyo on October 25. The smaller of the bunch; the LF-ZC is around the same size as one of the best-selling EVs on the market; the Tesla Model 3.
Assistant:

Tesla | Company | Electric vehicle manufacturer known for its popular EV models,
prices | Economic Concept | The cost at which a product is offered to consumers,
models | Product Concept | Different versions or types of a product released by a manufacturer,
market share | Economic Concept | The portion of a market controlled by a particular company or product,
manufacturers | Entity Group | Companies that produce goods, in this context, electric vehicles,
Elon Musk | Person | CEO of Tesla, known for his influence in the electric car industry,
electric car giant | Company Description | Refers to a leading company in the electric vehicle market, in this context, Tesla,
EVs | Industry-specific Term | Electric Vehicles, a category of automobiles powered entirely or partially by electricity,
Toyota | Company | A major international automobile manufacturer,
Lexus | Company Division | The luxury vehicle division of Toyota,
LF-ZC | Product Concept | A futuristic electric car model unveiled by Lexus,
LF-ZL | Product Concept | Another futuristic electric car model unveiled by Lexus,
Japan Mobility Show | Event | An event where new transportation technologies and vehicles are showcased,
Tokyo | Location | Capital city of Japan, location of the Japan Mobility Show,
October 25 | Date | The specific day an event or action took place, in this context, the unveiling of new car models,
the Tesla Model 3 | Product Model | One of Tesla's best-selling electric vehicle models.

System: Create a comprehensive dataset for financial entity recognition. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.

Ensure the following:
    Label All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.
    Define New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.
    Provide an Exhaustive Entity List: Include every relevant label mentioned in the input text.

Respond in the following format:
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...
Input:
User: Investing.com -- Stocks weakened, led by a sinking Nasdaq after Alphabet (NASDAQ:GOOGL)'s miss on revenue expectations from its cloud operations.
Assistant:

Investing.com | Platform | A financial news and analysis website focused on providing market information and tools,
Stocks | Financial Instrument | Shares representing ownership in a company; a key component in financial markets,
Nasdaq | Stock Exchange | A major American stock exchange known for its technology stocks,
Alphabet | Company | The parent company of Google; involved in diverse sectors such as technology, advertising, and cloud computing,
GOOGL | Stock Ticker | The stock ticker symbol for Alphabet Inc., representing its shares on the NASDAQ exchange,
Revenue Expectations | Financial Metric | Projections of the income generated by a company, often influencing stock performance,
Cloud Operations | Business Segment | A division of a company focused on cloud computing services, which provides data storage and processing power over the internet.