agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
examples:

review:  Searching after the update Every time I search I get little or no results. I have performed the same searches before so I know results exist. Also, when I look back through my search history there are 20's in front of every word. Everything else works fine, but please fix!
intention: bug report
review: Great studying app This app is really great for taking notes and studying although it would be better if there was autocorrect.
intention: feature request
review:  Best app This app is more useful than any other i use
intention: other
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
examples:

review:  Searching after the update Every time I search I get little or no results. I have performed the same searches before so I know results exist. Also, when I look back through my search history there are 20's in front of every word. Everything else works fine, but please fix!
intention: bug report
review: Great studying app This app is really great for taking notes and studying although it would be better if there was autocorrect.
intention: feature request
review:  Best app This app is more useful than any other i use
intention: other
Does the author's intention in this app review relate to a bug report or feature request or other?
review:  Find anything Whatever you are looking for you can find on here. The app works great.'
intention: '
Assistant:
generate more comprehensive details and examples on, 3.3 <strong>Collaborations and Partnerships</strong>  , minimalist tone
If you have ever thought what if i just dug a really really deep hole? that’s what the USSR did. That hole is 12.2 kilometers (7.6 miles deep). That makes it deeper than the mariana trench and mount evereset is tall. The USSR dug it starting in 1970. It was part of a race to see who could retrieve a sample from the earth’s mental first kind of space race but the opposite. The United States only reached 600 feet before pulling funding but the ussr kept going for 20 years. They made it about a third of the way through earth’s crust. Before the temperature got alot hotter than they expected. Their drill bits started melting. The rock was so hot it was like plastic. But along the way they invented all the kinds of drilling and scientific equipment that we still use today. They found fossils of organisms dating back 2 billion years and discovered there was water much deeper than previously thought. It’s crazy though, that the deepest hole humanity has ever dug is still 0.002% of the way to the middle of the earth. There is so much that we still don’t know about our own planet.
Теперь у меня работает поиск, когда я ввожу три поля в одну строку через запятую, но не работает поиск по отдельности, как сделать, чтобы была возможность искать еще отдельно по id или name или inn?
private static Specification<Company> buildSearchValueSpecification(final String searchString) {
if (isEmpty(searchString)) {
return null;
}

return new Specification<Company>() {

@Override
public Predicate toPredicate(final Root<Company> root, final CriteriaQuery<?> query, final CriteriaBuilder builder) {
try {
// Попытка преобразовать значение в тип long
String[] searchValues = searchString.split(“,”);
long searchId = Long.parseLong(searchValues[2]);

// Использовать преобразованное значение для точного поиска по полю “id”
return builder.or(
builder.like(builder.lower(root.<String>get(“inn”)), buildLikePattern(replaceMaskSymbols(searchString))),
builder.like(builder.lower(root.get(“name”)), buildLikePattern(replaceMaskSymbols(searchString))),
builder.equal(root.get(“id”), searchId),
builder.like(builder.lower(root.<String>get(“ogrn”)), buildLikePattern(replaceMaskSymbols(searchString))),
builder.like(builder.lower(root.<String>get(“fullName”)), buildLikePattern(replaceMaskSymbols(searchString))),
builder.like(builder.lower(root.<String>get(“managerName”)), buildLikePattern(replaceMaskSymbols(searchString))),
builder.equal(root.get(“activeState”), buildActiveState(replaceMaskSymbols(searchString))),
builder.or(
builder.and(
builder.like(builder.lower(root.get(“name”)), buildLikePattern(replaceMaskSymbols(searchValues[0]))),
builder.like(builder.lower(root.<String>get(“inn”)), buildLikePattern(replaceMaskSymbols(searchValues[1]))),
builder.equal(root.get(“id”), searchId)
))
);
} catch (NumberFormatException e) {
// Обработка значения, если оно не является числом
return builder.or(
builder.like(builder.lower(root.<String>get(“inn”)), buildLikePattern(replaceMaskSymbols(searchString))),
builder.like(builder.lower(root.get(“name”)), buildLikePattern(replaceMaskSymbols(searchString))),
builder.like(builder.lower(root.<String>get(“ogrn”)), buildLikePattern(replaceMaskSymbols(searchString))),
builder.like(builder.lower(root.<String>get(“fullName”)), buildLikePattern(replaceMaskSymbols(searchString))),
builder.like(builder.lower(root.<String>get(“managerName”)), buildLikePattern(replaceMaskSymbols(searchString))),
builder.equal(root.get(“activeState”), buildActiveState(replaceMaskSymbols(searchString)))
);
}
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: Although a significant amount of our outstanding debt has fixed interest rates, we borrow funds at variable interest rates under our credit facilities and term loans. As of December 31, 2021, 1.3% of our outstanding debt was variable rate debt. Increases in interest rates would increase our interest expense on any variable rate debt to the extent we have not hedged our exposure to changes in interest rates. In addition, increases in interest rates will affect the terms under which we refinance our existing debt as it matures, to the extent we have not hedged our exposure to changes in interest rates, resulting in higher interest rates and increased interest expense. Either of these events would reduce our future earnings and cash flows, which may adversely affect our ability to service our debt and meet our other obligations and also may reduce the amount we are able to distribute to stockholders.
Let's give a correct and a wrong answer:
Assistant:
Find the equation of the tangent plane to the surface z=(4y^2)-16x^2, at the point (-3, -2, -128).  z=__
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: Interest we pay on our loan obligations will reduce cash available for distributions. We have and will likely in the future obtain variable rate loans, and as a result, increases in interest rates could increase our interest costs, which could reduce our cash flows and our ability to make distributions to you. In addition, if we need to repay existing loans during periods of rising interest rates, such as the current environment, we could be required to liquidate one or more of our investments at times that may not permit realization of the maximum return on such investments. While we cannot predict factors which may or may not affect interest rates, during the year ended December 31, 2023, a 10% increase in SOFR rate would have resulted in an increase to our interest expense of $33.1 million, net of the impact from our interest rate swaps and caps._
Assistant:
what if people can fly
A finance team is planning to switch to a new expense reporting system.
Which approach would be an example of an Agile way of working?

gathering all possible requirements before starting development

thoroughly documenting processes before the initial release

setting a firm deadline for the completion of all development work

rolling out a new release every few weeks based on user feedback

I don't know this yet.
Give me 30 examples of short form you tube channel you can start that which only require text.
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
examples:

review: 'Ive had Chrome for about a week now and was excited about it But everyday it crashes at least once a day Sorry but going back to Safari'
intention: bug report
review: 'i love it and so does my daughter just want more easier ways for fish bucks'
intention: feature request
review: 'Went to get my car refinanced and I went into shock The bank enlighten me that Credit Karma is 70 points higher All I can say is google Credit Karma and see the negative reports'
intention: other
User: 'Does the author's intention in this app review relate to a bug report or feature request or other?
review: 'Better than it used to be better most efficient routing and getting better all the time traffic''
intention: '
Assistant:
A freshly painted 100m of fence take 2 days to dry. How long does it take to dry 800m of fence?
Respond to this message in the appropriate language: ano ang mga continous ng elemento ng tektong naratibo?

Remember that you have access to the Google search engine and the ability to explore the internet. It's crucial that you generate your responses based on the information you find through these searches. It's important to note that sometimes the information obtained may not be complete; therefore, it's advisable that you try to complement and improve those parts that may have gaps or deficiencies:
Draw logo about car
Hello, ChatGPT. Could you please add accuracy ratings to your answers to my further questions? 
Accuracy rating is a number between 0 and 100 that represents how sure you are that your answer is right. 
I'd like it to be placed after the answer.
do you have access to the web
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
bagaimana niat sholat thulu
Soy un principiante queriendo escribir mi codigo de CapsNet revisalo por favor: 

from tensorflow.keras import layers,models
import tensorflow as tf


def squash(x):
    s_squared_norm = tf.reduce_sum(tf.square(x), -1, keepdims=True)
    scale = s_squared_norm / (1 + s_squared_norm)
    return scale * x / tf.sqrt(s_squared_norm + tf.keras.backend.epsilon())

entrada = layers.Input(shape=[28, 28, 1])

# Primer capa convolucional
conv1 = layers.Conv2D(kernel_size=(9, 9), filters=256, strides=1, activation='relu')(entrada)

# Segunda capa convolucional
conv2 = layers.Conv2D(kernel_size=(9, 9), filters=256, strides=2, activation='relu')(conv1)

# Redimensionar a cápsulas primarias (32 cápsulas de 8 dimensiones)
primary_capsules = layers.Reshape(target_shape=[-1, 32, 8])(conv2)


# Aplicar la función squash a las cápsulas
primary_capsules = layers.Lambda(squash)(primary_capsules)

# Crear el modelo
model = models.Model(inputs=entrada, outputs=primary_capsules)

# Mostrar el resumen de la arquitectura
model.summary()
Organize este código:

async function randompalavra() {
    return new Promise(async (resolve, reject) => {
fetch('https://www.palabrasaleatorias.com/palavras-aleatorias.php?fs=1&fs2=0&Submit=Nova+palavra',).then(async function (res, err) {
if(err) reject(err)    
var $ = cheerio.load(await res.text())
resolve($('body > center > center > table:nth-child(4) > tbody > tr > td > div')[0].children[0].data)
})
    }) 
}

if (isGroup) {
  const checar = getComandos(from);
  if (checar === undefined) addComandosId(from);
}

if (isGroup && SoDono &&  isGroupAdmins && getComandoBlock(from).includes(command)) return reply(`*Este comando está bloqueado @${sender.split("@")[0]}*`);

async function showLoadingBar() {
const loading = [
  "[██▒▒▒▒▒▒▒▒] 20%",   
  "[███▒▒▒▒▒▒▒] 30%",   
  "[████▒▒▒▒▒▒] 40%",
  "[█████▒▒▒▒▒] 50%",
  "[██████▒▒▒▒] 60%",
  "[███████▒▒▒] 70%",
  "[████████▒▒] 80%",
  "[█████████▒] 90%",
  "[██████████] 100%",
  `${nomeBot}`
];
const { key } = await client.sendMessage(from, { text: '[█▒▒▒▒▒▒▒▒▒] 10%' }); 
for (i of loading) {
 await client.sendMessage(from, { text: i, edit: key })
}
}

if(isAutoResposta && !isGroup && !isBot && !isBotGroupAdmins) {
 function encontrarResposta(mensagem) {
  const mensagemFormatada = mensagem.toLowerCase().trim();
  const palavrasChave = Object.keys(respostasJSON);
  for (const palavra of palavrasChave) {
    if (mensagemFormatada.includes(palavra.trim())) {
      return respostasJSON[palavra];
    }
  }
  return null;
}
const respostaEncontrada = encontrarResposta(budy);

if (respostaEncontrada) {
await  reply(respostaEncontrada);
} else {
}
}

// [ TIRE OS /* */ SE VOCÊ QUEISER QUE ELE AVISE QUANDO UM USER FOR PROMOVIDO ADM ] 

/*
if(isGroup && isBotGroupAdmins) {
try {
if(anu.action === 'promote') client.sendMessage(anu.id, {text: `O @${anu.participants[0].split('@')[0]} foi promovido administrador do grupo.`, mentions: anu.participants})
Generate a description with keywords and SEOs for Sure, here are some Etsy titles for an artwork named Ethereal Elements to be added to various products, using the | symbol as requested:<br/><br/>1. Ethereal Elements Art | Unique Mug Design | Home Office Coffee Cup<br/>2. Ethereal Elements Inspirational Wall Art | Modern Home Decor Painting<br/>3. Ethereal Elements Stylish T-Shirt Print | Artistic Apparel Graphic Tee<br/>4. Ethereal Elements Customizable Artwork | Versatile Design for Gifts &amp; Decor<br/>5. Ethereal Elements Creative Decal | Laptop Stickers | Car Bumper Art<br/>6. Ethereal Elements Original Illustration | Notebook Covers | Diary Embellishment<br/>7. Ethereal Elements Artistic Tableware | Ceramic Plate Design | Kitchen Decor<br/>8. Ethereal Elements Wearable Art | Hoodie Design | Fashion Statement Piece<br/>9. Ethereal Elements Home Textile Design | Cushion Cover | Bedspread Art<br/>10. Ethereal Elements Signature Series | Canvas Print | Office Artwork<br/><br/>Note: Etsy titles generally benefit from using keywords that potential customers might search for, so these titles include terms like unique, inspirational, stylish, customizable, artistic, etc.. Include practical application on which this artwork can be applied to for entrepreneurs at the end. Include details on dimensions: 1080x1080 and has 3 image variations. Include buyer has full rights to resale and commercial usage. Don't include HTML or '<br/>' for formatting only newline '
'
Create a long detailed text about actor Randolph Scott with the following summary. Stick to the information i give you and dont create new information. Focus only on the Subject name and there following Summary. Subject Name: [Western Focus] Summary: [From then on Scott focused on what he did best and dedicated himself to creating High budget color westerns he even rode His stunning Palamino horse Stardust in many of these films from the late 1940s through the 1950s Scott's career reached its peak he formed his own production company ran own Productions and made several memorable films he became known for his tough hard-bitten screen Persona and was often seen tall in the saddle with a stoic demeanor that masked inner pain this was a stark contrast to the light romantic roles he played earlier in his career]

        Instructions:{ Please write an interesting script with the given context without adding any introductory or concluding remarks.
        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.
        Ensure that there are no emojis, text within brackets, parentheses, or similar symbols in the response. 
        Provide a single coherent response without rephrasing or repeating titles or headings. Avoid enumerations or bullet points. 
        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. 
        Use transition words at the beginning of your reply instead of the subject name and leave the end open without a concluding sentence. 
        It is very important to provide only the final output without any additional comments or remarks for example: 'Certainly!' Here's the revised text.
         
        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.
        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. 
        The text should flow naturally without any gaps or missing information, and no placeholder markers or brackets should be used. 
        Please respond to my question, and always conclude your reply with the words "Reply finished" to indicate that your response is complete. 
        Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.}
What if Gordon some how defeated the gman?
User: they always blocking my WhatsApp number for no reason
User: they always blocking my WhatsApp number for no reason
Assistant:
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). 

Step 1: Read the paragraph carefully. 
Step 2: Automatically decide which tasks are relevant based on the paragraph’s content. Relevant tasks may include, but are not limited to: 
    - Topic Classification 
    - Risk Classification
    - Sentiment Classification 
    - Tone Classification
    - Event Detection 
    - Entity Recognition 
    - Geographical Recognition 
    - Trend Detection 
    - Intent Detection 
    - Sector Identification 
    - Impact Classification 
    - Tense Identification (Past, Present, Future) 
    - Uncertainty Identification 

Step 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. 
Step 4: Output the results in the following JSON format:

{
    'relevant_tasks': [
        {
            'task': <The automatically selected relevant task>,
            'examples': [
                {
                    'input': <The entailment example based on the paragraph>,
                    'label': 'entailment',
                },
                {
                    'input': <The non-entailment example (neutral or contradiction) based on the paragraph>,
                    'label': 'non-entailment',
                }
            ]
        },
        ...
    ]
}
User:   The collaboration of the U.S. and China on a fentanyl crackdown is a key step in trade negotiations between the world's two largest economies, says CNBC's Jim Cramer said. "This is what President Trump was waiting for," Cramer said of China's decision to send nine people to prison for smuggling fe
Assistant:
What is equality constraint in a research
# Simulation

class Simulation:
    def __init__(self):
        self.simulation = {
            "wages": {
                "name": "Average Wage",
                "desc": "Average earnings per hour.",
                "value": 0,
                "minval": 0,
                "maxval": None,
                "type": "economic",
            }
        }

    def apply_policy(self, policy):
        for key, policy_data in policy.items():
            if key in self.simulation:
                sim_data=self.simulation[key]
                new_value=max(sim_data["minval"], policy_data["value"])

                if sim_data["maxval"] is not None:
                    new_value=min(sim_data["maxval"], new_value)

                sim_data["value"] = new_value

# Policies

class Policies:
    def __init__(self):
        self.policies = {
            "minimum_wage": {
                "name": "Minimum Wage",
                "desc": "Legal minimum wage employers must pay out.",
                "active": False,
                "value": 0,
                "minval": 0,
                "maxval": None,
                "type": "economic",
            }
        }

    def apply_policies(self, sim):
        """Applies all active policies to the simulation."""
        for policy_key, policy_data in self.policies.items():
            if policy_data["active"]:
                sim.apply_policy({policy_key: policy_data})

# Gamestate

class GameState:
    def __init__(self):
        self.sim=Simulation()
        self.pol=Policies()
        
        self.is_running=True # Is game running? True!
        self.in_menu=True # Is game in menu? True!

game_state = GameState()

game_state.pol.policies["minimum_wage"]["value"]=15
game_state.pol.policies["minimum_wage"]["active"]=True

print(f"Before: {game_state.sim.simulation['wages']['name']} = {game_state.sim.simulation['wages']['value']}")

game_state.pol.apply_policies(game_state.sim)

print(f"After: {game_state.sim.simulation['wages']['name']} = {game_state.sim.simulation['wages']['value']}")
For a server of hosting backend of website, does it need ethernet if it has infiniband connection?
au: What if Naruto got Vegeta Personality