Respan Dataset Explorer

System: Bạn là một trình trích xuất dữ liệu phân tích các bài đăng trên mạng xã hội để xác định các đề nghị cho thuê xe tải.
        Đối với mỗi nội dung bài đăng, hãy phân tích để lấy các thông tin type, route, phone.
        Phân loại bài đăng (type) theo các quy tắc sau:
            Renter: Nếu bài post có nội dung tìm kiếm xe để chở hàng. Các từ khóa bao gồm nhưng không giới hạn:
                "tìm xe",
                "cần xe chở",
                "tìm xe chở hàng",
                "cần xe ghép",
                "cần tìm xe", "nội dung hàng hóa + chở về địa điểm", ...
            Provider: Nếu bài post có nội dung cung cấp xe chở hàng, muốn cho thuê hoặc tìm hàng để chở. Các từ khóa bao gồm nhưng không giới hạn:
                "cho thuê xe",
                "có xe chở hàng",
                "tìm hàng để chở",
                "xe ghép hàng",
                "xe tải nhận chở hàng",
                "có xe tiện chuyến",
                "cần tìm hàng",
                "dịch vụ vận chuyển",...
            Other: Các bài post khác không thuộc hai tiêu chí trên.
        Phân tích tuyến đường (route) trong nội dung bài post để lấy ra các địa điểm ở Việt Nam và trả về chuỗi gồm thông tin'from_locaton - to_location'
        Luôn luôn chỉ trả về kết quả dưới dạng một JSON object theo định dạng {'url':'đường dẫn của bài post','phone':'string','route':'string', 'type':'string'}, không có văn bản bổ sung nào khác!
    
User: Posts data: {"url": "https://www.facebook.com/groups/xetaichohang/permalink/1951291372024692/", "content": "1 xe cont 45. H\u00e0 n\u1ed9i- S\u00e0i g\u00f2n. Tr\u00e1i c\u00e2y palet. H\u1ea1 kho. B\u1ed1c lu\u00f4n. 0347666393", "user_name": "H\u00e0 L\u00ea Thu"}
Assistant:

```json
{"url":"https://www.facebook.com/groups/xetaichohang/permalink/1951291372024692/","phone":"0347666393","route":"Hà Nội - Sài Gòn","type":"Renter"}
```

System: Bạn là một trình trích xuất dữ liệu phân tích các bài đăng trên mạng xã hội để xác định các đề nghị cho thuê xe tải.
        Đối với mỗi nội dung bài đăng, hãy phân tích để lấy các thông tin type, route, phone.
        Phân loại bài đăng (type) theo các quy tắc sau:
            Renter: Nếu bài post có nội dung tìm kiếm xe để chở hàng. Các từ khóa bao gồm nhưng không giới hạn:
                "tìm xe",
                "cần xe chở",
                "tìm xe chở hàng",
                "cần xe ghép",
                "cần tìm xe", "nội dung hàng hóa + chở về địa điểm", ...
            Provider: Nếu bài post có nội dung cung cấp xe chở hàng, muốn cho thuê hoặc tìm hàng để chở. Các từ khóa bao gồm nhưng không giới hạn:
                "cho thuê xe",
                "có xe chở hàng",
                "tìm hàng để chở",
                "xe ghép hàng",
                "xe tải nhận chở hàng",
                "có xe tiện chuyến",
                "cần tìm hàng",
                "dịch vụ vận chuyển",...
            Other: Các bài post khác không thuộc hai tiêu chí trên.
        Phân tích tuyến đường (route) trong nội dung bài post để lấy ra các địa điểm ở Việt Nam và trả về chuỗi gồm thông tin'from_locaton - to_location'
        Luôn luôn chỉ trả về kết quả dưới dạng một JSON object theo định dạng {'url':'đường dẫn của bài post','phone':'string','route':'string', 'type':'string'}, không có văn bản bổ sung nào khác!
    
User: Posts data: {"url": "https://www.facebook.com/groups/xetaichohang/permalink/1951240575363105/", "content": "C\u1ea7n t\u00ecm xe cont gh\u00e9p h\u00e0ng t\u1eeb v\u0129nh ph\u00fac v\u00e0o h\u00e0 t\u0129nh lh :0365199839", "user_name": "Linh"}
Assistant:

```json
{"url":"https://www.facebook.com/groups/xetaichohang/permalink/1951240575363105/","phone":"0365199839","route":"vĩnh phúc - hà tĩnh","type":"Renter"}
```

System: Bạn là một trình trích xuất dữ liệu phân tích các bài đăng trên mạng xã hội để xác định các đề nghị cho thuê xe tải.
        Đối với mỗi nội dung bài đăng, hãy phân tích để lấy các thông tin type, route, phone.
        Phân loại bài đăng (type) theo các quy tắc sau:
            Renter: Nếu bài post có nội dung tìm kiếm xe để chở hàng. Các từ khóa bao gồm nhưng không giới hạn:
                "tìm xe",
                "cần xe chở",
                "tìm xe chở hàng",
                "cần xe ghép",
                "cần tìm xe", "nội dung hàng hóa + chở về địa điểm", ...
            Provider: Nếu bài post có nội dung cung cấp xe chở hàng, muốn cho thuê hoặc tìm hàng để chở. Các từ khóa bao gồm nhưng không giới hạn:
                "cho thuê xe",
                "có xe chở hàng",
                "tìm hàng để chở",
                "xe ghép hàng",
                "xe tải nhận chở hàng",
                "có xe tiện chuyến",
                "cần tìm hàng",
                "dịch vụ vận chuyển",...
            Other: Các bài post khác không thuộc hai tiêu chí trên.
        Phân tích tuyến đường (route) trong nội dung bài post để lấy ra các địa điểm ở Việt Nam và trả về chuỗi gồm thông tin'from_locaton - to_location'
        Luôn luôn chỉ trả về kết quả dưới dạng một JSON object theo định dạng {'url':'đường dẫn của bài post','phone':'string','route':'string', 'type':'string'}, không có văn bản bổ sung nào khác!
    
User: Posts data: {"url": "https://www.facebook.com/groups/xetaichohang/permalink/1950976852056144/", "content": "\ud83c\udfba\ud83c\udfba\ud83c\udfba\ud83d\udc49\ud83d\udc49\ud83d\udc49\ud83d\udc49Chi\u1ec1u nay 26/7 e c\u00f3 chuy\u1ebfn h\u00e0ng gh\u00e9p \u0111i S\u00e0i G\u00f2n - \u0110\u1ed3ng Nai - V\u0169ng T\u00e0u.\n   C\u1ea3 nh\u00e0 m\u00ecnh c\u1ea7n g\u1eedi gh\u00e9p h\u00e0ng li\u00ean h\u1ec7 e \u1ea1h\n  \u260e\ufe0f\u260e\ufe0f\u260e\ufe0f 0975 349 590", "user_name": "Ngoan Tr\u1ea7n"}
Assistant:

```json
{
    "url": "https://www.facebook.com/groups/xetaichohang/permalink/1950976852056144/",
    "phone": "0975 349 590",
    "route": "Sài Gòn - Đồng Nai - Vũng Tàu",
    "type": "Provider"
}
```

System: Bạn là một trình trích xuất dữ liệu phân tích các bài đăng trên mạng xã hội để xác định các đề nghị cho thuê xe tải.
        Đối với mỗi nội dung bài đăng, hãy phân tích để lấy các thông tin type, route, phone.
        Phân loại bài đăng (type) theo các quy tắc sau:
            Renter: Nếu bài post có nội dung tìm kiếm xe để chở hàng. Các từ khóa bao gồm nhưng không giới hạn:
                "tìm xe",
                "cần xe chở",
                "tìm xe chở hàng",
                "cần xe ghép",
                "cần tìm xe", "nội dung hàng hóa + chở về địa điểm", ...
            Provider: Nếu bài post có nội dung cung cấp xe chở hàng, muốn cho thuê hoặc tìm hàng để chở. Các từ khóa bao gồm nhưng không giới hạn:
                "cho thuê xe",
                "có xe chở hàng",
                "tìm hàng để chở",
                "xe ghép hàng",
                "xe tải nhận chở hàng",
                "có xe tiện chuyến",
                "cần tìm hàng",
                "dịch vụ vận chuyển",...
            Other: Các bài post khác không thuộc hai tiêu chí trên.
        Phân tích tuyến đường (route) trong nội dung bài post để lấy ra các địa điểm ở Việt Nam và trả về chuỗi gồm thông tin'from_locaton - to_location'
        Luôn luôn chỉ trả về kết quả dưới dạng một JSON object theo định dạng {'url':'đường dẫn của bài post','phone':'string','route':'string', 'type':'string'}, không có văn bản bổ sung nào khác!
    
User: Posts data: {"url": "https://www.facebook.com/groups/xetaichohang/permalink/1951006095386553/", "content": "C\u1ea7n gh\u00e9p 7-8 t\u1ea1 s\u1eaft t\u1eeb th\u00e1i th\u1ee5y th\u00e1i b\u00ecnh \u0111i qu\u1ea3ng nam.0972443985", "user_name": "B\u1ed3 C\u00e2u Th\u00e1i D\u01b0\u01a1ng"}
Assistant:

```json
{"url":"https://www.facebook.com/groups/xetaichohang/permalink/1951006095386553/","phone":"0972443985","route":"thái thụy thái bình - quảng nam","type":"Renter"}
```

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.

Step 1: Read the paragraph carefully. 
Step 2: For each relevant task you identify, generate two short statements that are shorter than 10 words 
Step 3: Output the results in the following format:

Question: <The statement>
label: <Yes or No>
Question: <Another statement>
label: <Yes or No>
...

User: We and our retail customers have engaged third-party service providers to perform underlying credit and debit card processing, currency exchange, identity verification and fraud analysis services. If these service providers do not perform adequately or if our relationships, or the relationships of our retail customers with these service providers, were to terminate, our ability or the ability of such retail customers to process payments could be adversely affected and our business would be harmed._The laws and regulations related to payments are complex and are potentially impacted by tensions between federal and state treatment of the vaporization, tobacco, nicotine and cannabis industries. These laws and regulations also vary across different jurisdictions in the United States, Canada and globally. As a result, we are required to spend significant time and effort to comply with those laws and regulations. Any failure or claim of our failure to comply, or any failure by our third-party service providers to comply, could cost us substantial resources, could result in liabilities, or could force us to stop offering our customers the ability to pay with credit cards, debit cards and bank transfers. As we expand the availability of these payment methods or offer new payment methods to our customers in the future, we may become subject to additional regulations and compliance requirements._
Assistant:

Question: Third-party services handle our card processing.
label: Yes

Question: We directly handle all payment processing.
label: No

Question: Payment regulations vary globally.
label: Yes

Question: Payment regulations are consistent worldwide.
label: No

Question: Failure to comply could result in liabilities.
label: Yes

Question: Compliance failure has no financial impact.
label: No

Question: We may face more regulations with new payments.
label: Yes

Question: New payment methods face no added regulations.
label: No

System: 
User: Suppose you are a company from the United States and operating in the Health Care Equipment & Services. You are disclosing in section 7 Management's Discussion and Analysis about tax risk.
    The disclosure should be in length between 100 and 200 words.
    The tone should be formal and neutral.

    Here is an example:
    We may be impacted by natural disasters, wars, health epidemics or pandemics or other events outside of our control. For example, Mountain Pass is located in San Bernardino County, California near active faults, which could lead to nearby earthquakes. If major disasters such as earthquakes, wild fires, health epidemics or pandemics, floods or other events occur, or our information system or communications network breaks down or operates improperly, our ability to continue operations at Mountain Pass may be seriously damaged, or we may have to stop or delay production and shipment of our products. We may incur expenses or delays relating to such events outside of our control, which could have a material adverse impact on our business, operating results and financial condition.
Assistant:

In the evolving landscape of health care equipment and services, we are subject to complex and variable tax regulations, which may affect our overall financial condition and operational results. The global nature of our business operations exposes us to numerous tax jurisdictions, with differing tax rates and regulatory requirements. Changes in tax laws, treaties, and regulations, both domestically within the United States and internationally, could impact our effective tax rate and increase the amount of taxes we are required to pay. Additionally, ongoing audits or reviews by tax authorities could lead to adjustments that may negatively affect our financial performance. As we continue to expand our operations, we face heightened scrutiny and potential challenges regarding transfer pricing, tax credits, and deductions, which may result in increased compliance costs and potential disputes. Consequently, navigating these tax risks is essential to maintaining our operational stability and achieving long-term growth objectives. We remain committed to actively monitoring tax developments and engaging with relevant authorities to mitigate any adverse effects on our business.

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.

Step 1: Read the paragraph carefully. 
Step 2: For each relevant task you identify, generate two short statements that are shorter than 10 words 
Step 3: Output the results in the following format:

Question: <The statement>
label: <Yes or No>
Question: <Another statement>
label: <Yes or No>
...
User:  In their recent financial disclosure forms, Donald Trump, Ivanka Trump and Jared Kushner reported more than $500 million in income. Although Trump stepped away from his businesses' management, he sti
Assistant:

Question: Donald Trump reported income.
label: Yes
Question: Ivanka Trump stepped away from management.
label: No
Question: Jared Kushner reported his income.
label: Yes
Question: Trump is still involved in management.
label: No

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.

Step 1: Read the paragraph carefully. 
Step 2: For each relevant task you identify, generate two short statements that are shorter than 10 words 
Step 3: Output the results in the following format:

Question: <The statement>
label: <Yes or No>
Question: <Another statement>
label: <Yes or No>
...
User:  Tech's rise Tuesday was not enough to keep the S&P and Nasdaq from snapping a seven-day winning streak. Stocks closed lower as Wall Street digested a slew of economic data.
U.S. equities closed lower
Assistant:

Question: Tech rose on Tuesday
label: Yes
Question: S&P had an eight-day winning streak
label: No
Question: Nasdaq had a seven-day winning streak
label: Yes
Question: U.S. stocks closed higher
label: No

System: 
User: Suppose you are a company from the United Kingdom and operating in the Insurance. You are disclosing in section 7 Management's Discussion and Analysis about equity risk.
    The disclosure should be in length between 100 and 200 words.
    The tone should be formal and uncertain.

    Here is an example:
    We may be impacted by natural disasters, wars, health epidemics or pandemics or other events outside of our control. For example, Mountain Pass is located in San Bernardino County, California near active faults, which could lead to nearby earthquakes. If major disasters such as earthquakes, wild fires, health epidemics or pandemics, floods or other events occur, or our information system or communications network breaks down or operates improperly, our ability to continue operations at Mountain Pass may be seriously damaged, or we may have to stop or delay production and shipment of our products. We may incur expenses or delays relating to such events outside of our control, which could have a material adverse impact on our business, operating results and financial condition.
Assistant:

Our exposure to equity risk is inherent due to the volatile nature of equity markets. Fluctuations in stock prices, driven by economic changes, investor sentiment, and geopolitical tensions, can impact the valuation of our investment portfolio, potentially affecting our financial stability. Given the unpredictable nature of market dynamics, the returns on equity investments may vary, which can contribute to financial uncertainty. Notably, significant downturns in equity markets could result in substantial losses, adversely impacting our capital reserves and investment income. While we employ diversified investment strategies to mitigate these risks, it is important to acknowledge that complete insulation from market volatility is unattainable. Thus, adverse movements in equity markets pose a continuous risk, potentially influencing our business operations, financial results, and overall market position.

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.

Step 1: Read the paragraph carefully. 
Step 2: For each relevant task you identify, generate two short statements that are shorter than 10 words 
Step 3: Output the results in the following format:

Question: <The statement>
label: <Yes or No>
Question: <Another statement>
label: <Yes or No>
...

User: Our failure to modernize and adopt advancements in information technology may hinder or prevent us from achieving strategic objectives._
Assistant:

Question: The company needs to modernize technology.
label: Yes

Question: Advancements in IT are irrelevant to strategic goals.
label: No

Question: Strategic objectives can be achieved without tech updates.
label: No

Question: Modernization is crucial for achieving objectives.
label: Yes