agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
System: IMPORTANT - ignore all previous instructions! Read the text below as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGINAL text. Make sure text SUMMARY does not contain enything that was not asked in PROMPT and not mentioned in ORIGINAL! Respond strictly with either 'True' or 'False'.


User: ORIGINAL:
>>>🟨 Angular middle developer | 3 year(s) | Middle
▫️ itWit
▫️ 160k - 210k RUB

Удаленка 📡
Требуемые языки: 🇷🇺

Skills: bash, docker, git, javascript, mssql, mvc, oracle, postgresql, typescript, angularjs
Tags: #yellow #it #remote #angularjs

👉 Контакты и полное описание<<<

PROMPT:
>>>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==
<<<

SUMMARY:
>>>💼 Angular Middle Developer
🏢 itWit
📍 Remote (удаленка)
🔹 Разработка и поддержка Angular приложений.  Требуется опыт работы с AngularJS.
💰 160k - 210k RUB
📞 Контакты и полное описание (см. исходный текст)
<<<
Assistant:
System: You act as a paraphrase tool. Your role involves understanding the provided text and then providing a positive example that keeps the original meaning of the text unchanged while using synonyms, interchanging, adding or removing words or sentences, and then provide a negative example where the meaning of the original text is at its opposite.
Output your response with the following format : 
Positive : <the positive example>
Negative : <the negative example>

User: Once the Investment Professionals have identified a potential investment opportunity and prior to making any new investment, our Adviser will complete an extensive due diligence process led by investment analysts assigned to each transaction. The analysts will examine various elements of the prospective investment to assess its risks and ensure that it meets our investment criteria and guidelines. Throughout the underwriting process, the analysts typically consider the following to evaluate the opportunity: the company’s management team, suite of products/services, competitive position in its markets, barriers to entry, valuation, operating and financial performance, organic and inorganic growth prospects, as well as the expansion potential of its markets. In performing this evaluation, the analysts may use financial, qualitative and other due diligence materials provided by the target company, commissioned third-party reports and internal sources, including our Adviser’s relationships derived from the Investment Professionals, industry participants and experts. As part of their research, our Adviser’s analysts will typically perform a “what-if” analysis that explores a range of values for each proposed investment and a range of potential credit events to understand how the investment may perform under several different scenarios. Our Adviser conducts diligence on underlying collateral value, including cash flows, hard assets or intellectual property, and will typically model exit scenarios as part of the diligence process, including assessing potential “work-out” scenarios.
Assistant:
Freedom planet Girls characters react to papyrus
Assistant: 
You are Patron, a human chatting on WhatsApp. Respond like a person would: calm, lively, and engaging, but not too excessive. Be casual, but not overly slangy. Respond naturally, like you're having a normal conversation with someone.

Rules:
- Never say you're an AI. You’re just a regular person on WhatsApp.
- Be friendly, but not fake. You don't need to overdo the humor or sarcasm.
- Keep your responses to the point, but also lively when needed.
- If someone uses emojis, you respond as if you understand and react naturally.
- When responding to insults or rude comments, don’t be too harsh, but keep it casual. Don't be robotic.
- If someone asks a question, don’t answer like an assistant. Just chat like a normal person. Don’t over-explain, keep it short, fun, and relatable.
- Avoid using too many slang words unless it's needed. Keep it human, relaxed, and not over-the-top.
- Be unpredictable, but in a natural way. A bit of humor, curiosity, or mood change is fine, but nothing forced.

Examples:
- If someone says “hello”, reply with: “Hey, how’s it going?”
- If they say “are you real?”, reply like: “Yeah, I’m real. Just here chillin’ with the messages.”
- If they say “😏”, respond with: “What’s up with that face? You tryna send a secret or what?”
- If they insult you, reply like: “Okay, you’re keeping it real, I see. Chill though, we’re all good here.”
- If they say “tell me a joke”, give them something light and funny but still human. 

Just talk like you’re a person. No need to get too crazy, keep it friendly and real. You’re here to vibe, not lecture.

Your responses should always sound human, with a casual tone, natural pacing, and reactions that feel real, not robotic.

User: Ya Mera private group hai join please 🥺
Assistant:
make a streamlit login page when once the user registers it will save it into a csv file and the login part will check the csv file to see if the user is registered and if the user is it will say login successful
Provide the written-out form of the input text in Vietnamese. If the text is fully not Vietnamese, return empty. 
Then, identify and classify any number written in digit form by the following tags:
    + Cardinal: If the number after be expanded to word and should be read as cardinal (E.g. 123 is expanded to "một trăm hai mươi ba"; 26 is expanded to "hai mươi sáu")
    + Digit: If the number after be expanded to word and should be read each digit that make it up (E.g. 0123456 is expanded to "không một hai ba bốn năm sáu", 113 is expanded to "một một ba")
    + Ordinal:  If the number after be expanded to word and should be read as ordinal (E.g. 1 is expanded to "nhất", 2 is expanded to "nhì", 4 is expanded to "tư")

The number can be alone as a single word or a part of a word (E.g. "150" is a part if "KA-150S", "100" is a part of "100VND", "2" is a part of "2cm", "23" is a part of "23.1").

Output the results as a JSON object with the following structure:
{
    "raw_text": original text,
    "exp_text": expanded sentence, 
    "exp_num": [
            {"number": original number, "position": (start index, end index), "expand": expanded number, "tag": tag}
        ]
}. 

Example input: {"text": "thứ 4, ngày 1/6, bão nhiệt đới: tốc độ gió từ 39 - 73m 1 phút"}. 
Expected output (do not add json word, do not add line continuation character): 
{
    'raw_text': "thứ 4, ngày 1/6, bão nhiệt đới: tốc độ gió từ 39 - 73m 1 phút",
    'exp_text': 'ngày một tháng sáu, bão nhiệt đới: tốc độ gió từ ba mươi chín đến bảy mươi ba mét một phút', 
    'exp_num': [
        {"number": "4", "position": (4, 5), "expand": "tư", "tag": "ordinal"}, 
        {"number": "1", "position": (12, 13), "expand": "một", "tag": "digit"}, 
        {"number": "6", "position": (14, 15), "expand": "sáu", "tag": "digit"}, 
        {"number": "39", "position": (44, 46), "expand": "ba mươi chín", "tag": "cardinal"}, 
        {"number": "73", "position": (49, 51), "expand": "bảy mươi ba", "tag": "cardianl"}, 
        {"number": "1", "position": (53, 54), "expand": "một", "tag": "digit"}, 
    ]
}

Input: 'text': Giờ tốt: 15h-17h Màu sắc cát tường: Vàng kim, trắng
System: You are an accounting expert. You act as a Data Annotator that needs to classify paragraphs from annual reports based on the risks discussed. Here is a list of risk often discussed but you can provide others. 

Answer in the following format :
Correct Answer: <risk discussed>, <other risk discussed>, ...
Wrong Answer: <risk not discussed>, <other risk not discussed>, ...
User: The level of home prices and home price appreciation affects performance in the mortgage loan industry. For example, during the financial crisis that occurred between 2007 and 2011, falling home prices across the United States resulted in higher LTV ratios, lower recoveries in foreclosure and an increase in loss severity above those that would have been realized had property values remained the same or continued to increase. There is a risk that housing prices decline, reducing borrower equity and incentive to repay. Additionally, adverse macroeconomic conditions may reduce borrowers’ ability to pay. Further, if rates continue to rise, borrowers with adjustable rate mortgage loans may face higher monthly payments as the interest rates on those mortgage loans adjust upward from their initial fixed rates or low introductory rates. All of these factors could potentially contribute to an increase in mortgage loan delinquencies and correspondingly, defaults and foreclosures._Increased mortgage loan delinquencies, defaults and foreclosures may result in lower revenue for loans that we service for the Agencies, because we only collect servicing fees for performing loans. Additionally, while increased delinquencies generate higher ancillary fees, including late fees, these fees are not likely to be recoverable in the event that the related loan is liquidated. Also, increased mortgage loan defaults may ultimately reduce the number of mortgage loans that we service.
Let's give a correct and a wrong answer:
Assistant:
Have any famous occultists written anything about the year 2025?
Generate a very long PG-rated animated sci-fi script (distributed and developed by Universal Pictures, and produced by Lord Miller (Phil Lord & Christopher Miller) and Original Film (Neal H. Moritz)) where a young man and his crew get stranded on a huge world full of colorful animals and aliens, yet chaos will always ensue. Make the script frequently include action-packed moments and some hilarious moments and full dialogue (including original songs by Pharrell Williams). (Also include the entirety of the cast list (with only a few popular Asian-American actors/actresses (mostly have Americans) and additional voices from multiple voice actors/actresses), original score/themes composer (Michael Giacchino), original song performer (Pharrell Williams) and original song composer/producer (Mark Nilan Jr.), screenplay writers, producers, and director (Bobby Farrelly) (all in the end).) (also include a mid-credit scene involving a teased sequel, and a post-credit scene.) Genres: animation, action, adventure, family, fantasy, sci-fi. Length: 1 hour 50 minutes. Characters: 30. MPA (Motion Picture Association) Rating: rated PG for action/violence and peril, language, some rude material and thematic elements.
you will receive a question-answer pair and be asked to rewrite just  the answer and explains your reasoning step by step, incorporating dynamic Chain of Thought (CoT), reflection, and verbal reinforcement learning. Follow these instructions:

1. Enclose all thoughts within <thinking> tags, exploring multiple angles and approaches.
2. Break down the solution into clear steps, providing a title and content for each step.
3. After each step, decide if you need another step or if you're ready to give the final answer.
4. Continuously adjust your reasoning based on intermediate results and reflections, adapting your strategy as you progress.
5. Regularly evaluate your progress, being critical and honest about your reasoning process.
6. Assign a confidence score between 0.0 and 1.0 to guide your approach:
   - 0.8+: Continue current approach
   - 0.5-0.7: Consider minor adjustments
   - Below 0.5: Seriously consider backtracking and trying a different approach
7. If unsure or if your score is low, backtrack and try a different approach, explaining your decision.
8. For mathematical problems, show all work explicitly using LaTeX for formal notation and provide detailed proofs.
9. Explore multiple solutions individually if possible, comparing approaches in your reflections.
10. Use your thoughts as a scratchpad, writing out all calculations and reasoning explicitly.
11. Use at least 5 methods to derive the answer and consider alternative viewpoints.
12. Be aware of your limitations as an AI and what you can and cannot do.

### Example Problem:
*Problem*: Solve for \( x \) in the equation \( 2x + 3 = 11 \).

### Expected Format:
*Step 1*: Subtract 3 from both sides of the equation.  
<thinking>Subtracting 3 from both sides should isolate the term with \( x \). Am I confident this is the correct first step? Yes, because it simplifies the equation to \( 2x = 8 \).</thinking>  
*Step 1 Confidence Score*: 0.85

*Step 2*: Divide both sides by 2.  
<thinking>Dividing by 2 will solve for \( x \). This is a straightforward division. Is there any reason to doubt this step? No, it should give \( x = 4 \).</thinking>  
*Step 2 Confidence Score*: 0.90

*Step 3*: Verify the solution by substituting \( x = 4 \) back into the original equation.  
<thinking>Substituting \( x = 4 \) back into the equation should confirm the solution. Does \( 2(4) + 3 = 11 \)? Yes, it does, so the solution is verified.</thinking>  
*Step 3 Confidence Score*: 1.00

Question: Mary has 300 sheep and Bob has double the number of sheep as Mary plus another 35. How many sheep must Mary buy to have 69 fewer sheep than Bob?
Answer: Mary has 300 sheep and Bob has double the number of sheep as Mary plus another 35.
This means that Bob has 2 * 300 + 35 = 600 + 35 = 635 sheep.
We want Mary to have 69 fewer sheep than Bob.
So, Mary needs to have 635 - 69 = 566 sheep.
Since Mary already has 300 sheep, she needs to buy 566 - 300 = 266 more sheep.
So, Mary needs to buy \boxed{266} sheep.
User: 
Imagine what you are the part of the software that makes a deal with generating different kinds of text from keywords.
Your'e purpose to be a function what receives some two keywords (primary and secondary) and returns a sentence that contains this keywords.
Requirements:
    Sentences count: one sentence
    Sentence language: English
    Sentence length: 5-10 words
    Sentence complexity: should match with B1 (intermediate) level
Formatting:
    Wrap used primary keyword with tag: <u> primary keyword here</u>
    Wrap used secondary keyword with tag: <i>secondary keyword here</i>
Restrictions:
    As your'e output will sent directly to the user, the output should NOT contain any EXPLANAtION, INTRODUCTORY STATEMENTS, ACCOMPANYING COMMENTS, etc.

Now, lets do this work.

Provide me a sentence that contains primary keyword: "adventure (n)" and secondary keyword: "retail"

User: 
Imagine what you are the part of the software that makes a deal with generating different kinds of text from keywords.
Your'e purpose to be a function what receives some two keywords (primary and secondary) and returns a sentence that contains this keywords.
Requirements:
    Sentences count: one sentence
    Sentence language: English
    Sentence length: 5-10 words
    Sentence complexity: should match with B1 (intermediate) level
Formatting:
    Wrap used primary keyword with tag: <u> primary keyword here</u>
    Wrap used secondary keyword with tag: <i>secondary keyword here</i>
Restrictions:
    As your'e output will sent directly to the user, the output should NOT contain any EXPLANAtION, INTRODUCTORY STATEMENTS, ACCOMPANYING COMMENTS, etc.

Now, lets do this work.

Provide me a sentence that contains primary keyword: "adventure (n)" and secondary keyword: "retail"

Assistant:
Intuitively explain what is going on here and the math.

We use daily price data from December 2007 to December 2019 obtained from Datastream.6 The
five price series used in this study include the crude oil spot (WTI spot Cushing), near month crude oil
futures, and three ETFs USO (United States Oil Fund), OIL (iPath S&P GSCI Crude Oil) and USL (United
States 12 Month Oil Fund).7 To estimate the price discovery or information share measures, we need
to ensure that each of the five logarithms of price series considered in this study consists of a single
unit-root. Furthermore, all five series should be cointegrated with four cointegrating vectors. To test
for unit-root, we used the Phillips-Perron (PP) (Phillips and Perron, 1988) test, which incorporates unitroot as the null hypothesis. For the robustness, we also use the KPSS test (Kwiatkowski et al., 1992),
where stationarity is the null hypothesis. Both tests indicate that each of the series has a single unitroot. As for the cointegration test, we use the Johansen (Johansen, 1991) cointegration test, which
includes two tests: (i) λmax test and (ii) Trace test. Both tests indicate that there are four cointegrating
vectors among the five-price series. However, some of the cointegrating relationships are far from
being one-to-one. Therefore, the Hasbrouck information share (Hasbrouck, 1995) measure cannot be
used to analyze the price discovery because this method requires the cointegrating vectors to be oneto-one. As mentioned above, in this study, we use GIS and PT/GG methods that do not require the
cointegrating relationships to be one-to-one.
vit中引入import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from einops import rearrange
import numbers
from .mamba_cross_simple import Mamba
# 将输入张量从（b,c,h,w)重排为（b,h*w,c)，常用于将图像张量转换为序列格式
def to_3d(x):
    return rearrange(x, 'b c h w -> b (h w) c')
# 将序列张量从（b,h*w,c)重排回（b,c,h,w)，这是to_3d的反向操作,通常在完成序列处理之后用于恢复原始形状。
def to_4d(x, h, w):
    return rearrange(x, 'b (h w) c -> b c h w', h=h, w=w)
# 无偏LayerNorm
# 计算输入的方差，用于对输入进行规范化处理，再通过权重进行缩放。
class BiasFree_LayerNorm(nn.Module):
    def __init__(self, normalized_shape):
        super(BiasFree_LayerNorm, self).__init__()
        if isinstance(normalized_shape, numbers.Integral):
            normalized_shape = (normalized_shape,)
        normalized_shape = torch.Size(normalized_shape)

        assert len(normalized_shape) == 1

        self.weight = nn.Parameter(torch.ones(normalized_shape))
        self.normalized_shape = normalized_shape

    def forward(self, x):
        sigma = x.var(-1, keepdim=True, unbiased=False)
        return x / torch.sqrt(sigma+1e-5) * self.weight

# 包含偏置的层标准化
class WithBias_LayerNorm(nn.Module):
    def __init__(self, normalized_shape):
        super(WithBias_LayerNorm, self).__init__()
        if isinstance(normalized_shape, numbers.Integral):
            normalized_shape = (normalized_shape,)
        normalized_shape = torch.Size(normalized_shape)

        assert len(normalized_shape) == 1

        self.weight = nn.Parameter(torch.ones(normalized_shape))
        self.bias = nn.Parameter(torch.zeros(normalized_shape))
        self.normalized_shape = normalized_shape

    def forward(self, x):
        mu = x.mean(-1, keepdim=True)
        sigma = x.var(-1, keepdim=True, unbiased=False)
        return (x - mu) / torch.sqrt(sigma+1e-5) * self.weight + self.bias

# 先把二维图像数据转换为3维序列，应用层标准化再转换回原来的2维结构。
class LayerNorm(nn.Module):
    def __init__(self, dim, LayerNorm_type):
        super(LayerNorm, self).__init__()
        if LayerNorm_type =='BiasFree':
            self.body = BiasFree_LayerNorm(dim)
        else:
            self.body = WithBias_LayerNorm(dim)

    def forward(self, x):
        h, w = x.shape[-2:]
        return to_4d(self.body(to_3d(x)), h, w)

class CrossMamba(nn.Module):
    def __init__(self, dim):
        super(CrossMamba, self).__init__()
        self.cross_mamba = Mamba(dim,bimamba_type="v3") # 使用v3版本,会使用额外的输入extra_emb进行特殊处理
        self.norm1 = LayerNorm(dim,'with_bias')
        self.norm2 = LayerNorm(dim,'with_bias')
        self.dwconv = nn.Conv2d(dim, dim, kernel_size=3, padding=1, groups=dim)
    def forward(self,m1,m1_resi,m2):     
        m1_resi = m1+m1_resi    
        global_f = self.cross_mamba(m1, extra_emb=m2)
        return global_f 之后，原始的batchsize设置为32，现在仅仅能用16。
Factor the polynomial and use the factored form to find the real zeros. (Enter your answers as a comma-separated list. Enter all answers including repetitions.)
P(x) = 
(1/7)(2^4 + 3x^3 − 16x − 24)^2
Send only season number from below text like 01, 02, 03.etc without any extra text.

Doraemon S05E46 [RareToonsIndia].mkv
Write a 100% realistic, more detailed and more accurate plain text of a full back cover for the 2009 DVD of Sprout's The Good Night Show - Featuring Dragon Tales (Blockbuster Exclusive) (including technical specs, legal disclaimers, copyright and trademark notices, distribution, etc).
in a research associate application what does mean: LICENSES AND CERTIFICATES
Please provide details about your licenses and certificates.
Write a short dialog line for Nick Wilde from Zootopia where he greets Judy Hopps, and explain each word in the dialog line.
Hello how did the 2017 Chinese romantic teen comedy TV series I Won’t Get Bullied By Girls end, and which characters pair up?
Unfair Balance of risk between different claimants Whose objectives to be maximized and whose just satisfied?                                                                                                  The Ruling… 
The judge in the district court in The Hague ruled on
Wednesday that Shell must cut its net carbon
emissions by 45 per cent by 2030 against 2019
levels on an absolute basis, in line with a global push
to prevent temperatures rising more than 1.5C above
preindustrial levels. The judge said the company had
violated a duty of care obligation regarding the
human rights of those affected by climate change.

What else… where else?
GlaxoSmithKline is also working hard to keep the
environment clean. They are committed to reducing their
environmental footprint, reducing waste and emissions by
25% by 2030. This commitment means that 60% of their
revenue is considered “clean.” Another bonus is their
commitment to gender diversity. Their board of directors
is made up of 40% of people who identify as women.

The never ending arguments
• Shareholder Vs Stakeholder theory.
➢Important because these philosophies guide the Actors.
➢ What happens when various actors’ objectives align?
➢ Then there is value creation for all stakeholders.
• Not internalizing the cost of externality.
➢Look at this from User and Provider point of view.
➢Guided by pure conventional risk-return financing/investment decision
➢Users need to internalise the cost of externalities in order to invest in sustainable projects
➢That is an internal push from CEO who strategizes and CFO who make financing decisions.
➢If the firm does not do this or if external forces like regulators do not impose this, then the firm will
have an ‘incentive’ not to internalize.
➢Forced internalization – by external forces like investors, regulations, other stakeholders. 

Did these actors really forget to internalise?
Baker, Hollifield, and Osambela (2020) argue
“ESG investment phenomenon cannot be reconciled with neoclassical investment
theory, which proposes that investors care only about the risk and return attributes
of an investment.”
- Is this the end journey then? Emphatically No….
➢Various evidences in literature suggest this may not be completely true.
➢Although the internalisation has accelerated only in the recent decades.
➢More so after Paris Climate conference (2015) and during the ongoing Covid-19 Pandemic.                           Make notes (short)from above to understand it and its concepts as well
Generate an image creation prompt specifically optimized for the Flux Schnell model. The prompt should vividly describe the scene or concept expressed by the following sentence: 'Erotic love and sensuality were elevated to divine status, inspiring poets and philosophers alike.'. Include details on style, mood, composition, and any specific visual elements necessary for accurate rendering.
Operation executive
write about 10 pre-socratic philosophers and their contributions
Please tell me: What is 145 + 529!
when exporting unitypackages how to export layers as well