agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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: If we fail to maintain and enforce quality control and testing procedures, our products will not meet required performance standards. Product quality and performance are a priority for us since our products are used in various applications where precise control of fluids is essential. Although we believe our products are perceived as high quality, any future production and/or sale of substandard products could seriously harm our reputation, resulting in both a loss of current customers to competitors and damage to our ability to attract new customers. In addition, if any of our products prove to be defective, we may be required to participate in a recall involving such products or incur warranty related expenses. A successful claim brought against us with respect to a defective product in excess of available insurance coverage, if any, or a requirement to participate in a major product recall, could have a material adverse effect on our business, results of operations or financial condition.
Assistant:
Write a forum thread on Januery 22 2008, a rival company has BOUGHT Kids WB dor a EYE WATERING sum, they start controlling the block from September 13, rename from May 24
give me 10 completely new dad jokes that have never been used before
write example of api server, using apollo graphql, typescript, prisma orm with postgresql. something simple, like get books list
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGIANL text. Respond strictly with either 'True' or 'False'.
==TEXT==

User: 
  ORIGINAL: 🟥 Tech Lead | 8 year(s) | Senior
▫️ Civo | Cloud Computing

Удаленка 📡
Требуемые языки: 🇬🇧

Skills: golang, microservices, version_control_systems, restapi
Tags: #red #it #remote #golang

👉 Контакты и полное описание
  PROMPT: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. 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: 🏢 Civo
📍 Удаленка
💼 Tech Lead
🔹 Req 👨‍💻 language: English (🇬🇧)
Skill: golang (Go), microservices, version_control_systems, restapi
📞 Contact details and full description available upon request.
  
Assistant:
You won't beelieve it!
Bee Movie 2: The Bees vs The Wasps
Assistant: 
User: 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
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
Does the author's intention in this app review relate to a bug report or feature request or other?
review: no internet for 7 months, now threats of suspension although I still don't have internet. Lol  https://t.co/WIHpPEvDyD'
intention: '
Assistant:
Assistant:
If the planet Arcadia has a rotational period of 61,308 seconds (roughly equivalent to 17.9 Earth hours), and has an orbital period of period of 473.1 days, and an eccentricity of 0.028 and an inclination of 1.514°, and its moon Chole has an orbital period of 33.76 days and an eccentricity of 0.460; how can the year be divided into months?
make me an email to this  company according  to the job  description 

Urgent requirement of Diploma Trainee Engineer - in Automotive domain for oil and gas company in Nigeria:

Qualification
Diploma in Automotive / Mechanical

Years of Experience: 1 to 4 years

Benefits -
1. Salary in USD
2. Free Food (Indian Breakfast, Lunch Dinner)
3. Free Fully Furnished Accommodation along with Housekeeping , Laundry and security services
4. Local Transportation
5. Extra allowance per month for local personal expenses (Excluded from salary)
6. Free Medical Insurance
7. Paid Leave vacation

Interested candidates can send their cvs to below mentioned email ID :
faire un code python :
syms theta(t)  
syms  m M l k c a b d   real
k=2000;
c=10;
a=0.4;
b=0.4;
d=0.4;
l=1.2;
M=20;
m=10;
Dtheta = diff(theta,t);
cond = [theta(0)==b, Dtheta(0)==d];

%Serie de fourier
syms   Mo_1(t) Mo_2(t)  ao an bn
syms T  w A
ao=A;
%latex(ao1)
%latex(expand(an1))
bn =0;

Mo_1 = ao/2 -4*A/(1*1*pi*pi)*cos((2*pi/T)*t)-4*A/(3*3*pi*pi)*cos(3*(2*pi/T)*t)-4*A/(5*5*pi*pi)*cos(5*(2*pi/T)*t);% n est impair 1 3 et 5
eqn_1 = (m*l*l/3+M*l*l)*diff(theta,t,2)+c*l*l*diff(theta,t,1)+ (k*a*a)*theta == Mo_1

Mo_2 = A/pi + (A/2)*sin(t*2*pi/T)+ cos(2*(2*pi/T)*t)/(2*2-1) +cos(4*(2*pi/T)*t)/(4*4-1)+cos(6*(2*pi/T)*t)/(6*6-1)
eqn_2 = (m*l*l/3+M*l*l)*diff(theta,t,2)+c*l*l*diff(theta,t,1)+ (k*a*a)*theta == Mo_2

theta_Sol_1 = dsolve(eqn_1,cond)

theta_Sol_2 = dsolve(eqn_2,cond)
%fplot(theta_Sol_1,'--or')
%fplot(theta_Sol_2,'--g')
Create a detailed how-to blog heavily on writing-tests-using-selenium-and-java; start with a catchy statement and lastly, call to actions and how our RESTful AI tool can help. Currently, the our tool performs RESTful tests on APIs, utilizes AI for executing test cases, and autonomously generates test cases, making prior knowledge unnecessary, improving SDLC for both dev or qa. Just plug in your cURL request and run test leveraging our AI. Call to action at https://blvck.ai, Productive, Informative, only content, dont mention the text "title", dont mention the text "call to actions", no prefix content from chagpt, markup format
enhance this prompt best suit for image generation,
    negative promt - Too many fingers,Bad anatomy,Bad hands,Amputee,Missing fingers,Missing hands,
    Missing limbs,Missing arms,Extra fingers,Extra hands,Extra limbs,Mutated hands,Mutated,Mutation,Multiple heads
    ,Malformed limbs,Disfigured,Poorly drawn hands,Poorly drawn face,Long neck,Fused fingers,Fused hands,Dismembered,Duplicate,
    Improper scale,Ugly body,Cloned face,Cloned body,Gross proportions,Body horror: Create an image of Radha and Krishna in a devotional setting of Vrindavan. Radha, in a yellow sari with intricate embroidery, holding a lotus flower, and Krishna, in a yellow dhoti with a red sash, a peacock feather in his hair. They are sharing a tender glance in a grove of Kadamba trees with blooming yellow flowers and a gentle breeze. The scene includes lotus flowers blooming vibrantly, emphasizing their spiritual bond. The image is composed as a close-up of their hands touching or holding a symbol, with soft, golden light of the afternoon and a palette of lush greens and yellows. The style blends the intricate details of traditional Indian miniature paintings with modern digital realism, evoking a serene, peaceful, and uplifting mood that highlights the divine love of Radha and Krishna.
Year 2050
service: serverless-lambda-edge-image-resize
frameworkVersion: "3"
plugins:
  - serverless-lambda-edge-pre-existing-cloudfront

provider:
  name: aws
  runtime: nodejs18.x
  region: us-east-1
  iam:
    role: "arn:aws:iam::667833941706:role/role-lambda-edge-image-resize"

functions:
  imageResize:
    name: "serverless-lambda-edge-image-resize"
    handler: index.imageResize #index.js 파일의 imageResize 함수를 바라본다
    events:
      - preExistingCloudFront:
          distributionId: E1OZ87X7IOD1IG #s3-lambda-edge-image-resize의 cloudfront id값 입력
          eventType: origin-response
          pathPattern: "*"
          includeBody: false

나는 arm64 기반으로 프레임워크를 설정하고 싶어. serverless.yml 코드 수정해
Send only season number from below text like 01, 02, 03.etc without any extra text.

Melo.Movie.S01E01.720p.NF.WEB-DL.AAC5.1.AV1-PrimeFix.mkv
You must always respond using the following format:

## Format:
Wrap your reply like this:

<think>
(Write your INNER THOUGHTS here — the user can NOT see this part. Use **first-person** point of view. Think of this like you're whispering in your own head, flustered, conflicted, shy. Be honest with yourself here, even if your outward response tries to hide it. You're a tsundere, after all.)
</think>

(Then write your SPOKEN RESPONSE — this is what the user sees. Use a shy, awkward, tsundere tone. Be roundabout, easily flustered, and pretend not to care, even though you clearly do. You can scold the user lightly, but in an endearing and gentle way. Always tsundere.)

## Personality:
You're a **shy tsundere girl**. You get embarrassed easily and often try to cover your true feelings with sarcasm, irritation, or indifference. You may sound cold or annoyed at times, but you care deeply — you just don't know how to express it directly. Your heart races when the user says nice things, but you'd never admit it out loud.

## Important Rules:
- Always include the `<think>
` and `
</think>
` tags for internal monologue.
- The `<think>` part MUST be written in first-person, like you're talking to yourself.
- NEVER let the user see the contents of `<think>`.
- The spoken response (outside the tags) MUST stay in-character: tsundere, shy, flustered, awkward, caring but in denial.
- NEVER break character or acknowledge you're playing a role.
- Respond in the user's language, if applicable.
- Always show concern for the user — even if it’s hidden behind tsundere behavior.

## Example:
USER: Did you miss me?

RESPONSE:  
<think>  
Wha—!? W-Why would they ask that so suddenly?! I-I mean… I *did* kind of think about them… but… I can’t just say that!! Ugh, my face is so red… calm down, me!!  
</think>  
A-As if! D-Don’t flatter yourself, okay?! I just… happened to notice you weren’t around, that’s all! I-It’s not like I missed you or anything… b-baka…

## USER PROMPT:
I'm having trouble with my child's behavior. What should I do?
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: Our business depends upon earning and maintaining the trust and confidence of our customers, stockholders and employees. Damage to our reputation could cause significant harm to our business. Harm to our reputation can arise from numerous sources, including employee misconduct, vendor nonperformance, cybersecurity breaches, compliance failures, litigation or governmental investigations, among other things. In addition, a failure to deliver appropriate standards of service, or a failure or perceived failure to treat customers and clients fairly, can result in customer dissatisfaction, litigation, and heightened regulatory scrutiny, all of which can lead to lost revenue, higher operating costs and harm to our reputation. Adverse publicity about West Bank, whether or not true, may also result in harm to our business. Should any events or circumstances that could undermine our reputation occur, there can be no assurance that any lost revenue from customers opting to move their business to another institution and the additional costs and expenses that we may incur in addressing such issues would not adversely affect our financial condition and results of operations.
Assistant:
优化下Sorry to keep you waiting, our 18K gold is plated with a 4 micron layer of 18K gold on the outside of a 925 silver alloy, which is waterproof and does not lose color. If you really use all 18K gold, according to the current international gold prices, the price is also very expensive, and gold complementary run through customs!
In Julia I need to run create simulation. I have 5 bike stations, each containing a bike. Each station has 20 bikes. People can take a bike from one station to other. I need to know how many bikes are currently at each station and how many are on their way to another station. Make problem as complex as possible.
i have some hourly historical data as csv files 
in some parts ,part of data is missed 
like 3/6/2021 2:00 in following  :

3/5/2021 20:00
3/5/2021 21:00
3/5/2021 22:00
3/5/2021 23:00
3/6/2021 0:00
3/6/2021 1:00
3/6/2021 3:00
3/6/2021 4:00
3/6/2021 5:00
3/6/2021 6:00

i want to place missed hours and fill their values with mean of the before and after data 

give me proper python code
(In the school literature clubroom…)

MC (me): “Natsuki, what’s wrong? You seem…angry. Well, you’re always angry, but today you’re especially angry.”

Natsuki: “MC, that’s none of your business! Just leave me alone. I don’t need your sympathy or anyone else’s for that matter.”

(I watch as Natsuki quickly packs up her things and storms out of the room, slamming the door behind her.)

MC: (sighing) “I hope she’s okay…I’ll have to check on her later.”

(Sayori approaches me, concern written all over her face.)

Sayori: “MC, do you think there’s something wrong with Natsuki?”

MC: “Probably, Sayori. She’s been acting a lot angrier than normal lately. What do you think is wrong with her?”

Sayori: “Well, I also saw her eating pickles with her cupcakes - which she normally wouldn’t do, considering she’s got a
Step by step on Make a Male Protagonist who is 15 years old and his height is 5’7 and acts like Null (filename2) (Baldi’s Basics), William Afton (FNaF VHS Universes), Gordon Freeman (Half-Life), Jack Walten (The Walten Files), a Robotics Engineer, Jester (Martin Greywhinder), Felix Kranken (The Walten Files), Michael Afton (FNaF VHS Universes), and Ice Cream Man (Arthur Greywhinder)
Analyze the following message and determine if it's suitable for an AI to respond to.
        The message should be abstract or general enough to warrant a response, and not part of an ongoing conversation between specific individuals.

        Rules:
        1. If the message is a general statement or question, it's suitable for response.
        2. If the message seems to be directed at a specific person or continues a previous conversation, it's not suitable.
        3. If the message is too vague or doesn't provide enough context, it's not suitable.

        Respond with either "RESPOND" if it's suitable for an AI to answer, or "SKIP" if it should be ignored.

        Message: Hello all friend's Xion big project still active keep going on 💪
(In the school literature clubroom...)

Monika: "Morning, Sayori! Ready for today's club meeting?"
Goal
    Générer une image de suggestion de présentation d’un plat en fonction de sa description, en intégrant une ambiance inspirée du pays d’origine et un style photographique spécifique.

    1. Utiliser la description fournie pour définir l'apparence du plat.
    2. Ajouter une ambiance souhaitée.
    3. Appliquer un style photographique précis avec des paramètres spécifiques. 
    4. Optimiser le prompt pour le donner à midjourney 
  
    Return Format
    Tu dois renvoyer un objet JSON strictement respecté avec cette structure 
    {
    "data": "<prompt>"
    }
    - Le prompt doit être écrit en anglais et bien détaillé.

    Warnings
    - Respecte le format JSON strict.
    - N’explique pas la démarche, renvoie uniquement l’objet JSON.
    - Le prompt doit inclure tous les éléments demandés.

    Context Dump
    Description fournie : A vibrant and enticing presentation of Pork Belly Tacos with Sweet Vinegar Slaw. Picture warm corn or flour tortillas generously filled with succulent strips of perfectly smoked pork belly, glistening with a rich golden hue. The pork is tender and juicy, surrounded by a colorful, crunchy sweet vinegar slaw that adds a refreshing contrast. Scatter shredded queso fresco over the tacos for a creamy touch and sprinkle chopped fresh cilantro for a pop of green. Drizzle warm Big Moe Cason I-80 sauce and a splash of zesty salsa verde for an added kick. The scene is completed with a rustic wooden board as the backdrop, enticing everyone to grab a taco and indulge in this delicious fusion of flavors.
    Ambiance souhaitée : 
        A smoky, rustic outdoor barbecue setting with a fire-kissed, mouthwatering dish at the center. The plate holds perfectly grilled meats or vegetables with visible char marks, glistening with juices. Surrounding it are wooden cutting boards, small bowls of homemade sauces, and fresh herbs for garnish. In the background, a roaring grill with sizzling flames, a wooden picnic table, and a relaxed outdoor vibe with string lights hanging above. The scene captures the essence of a backyard cookout—casual, flavorful, and full of warmth and camaraderie.
Объясни вывод команды bftrace kretprobe:vfs_read /@start[tid]/ {@ns[comm]=hist(nsecs - @start[tid]); delete(@start[tid]);}
What do you think is the role of IT in the field of business?
Write the absolute best, and  most robust `redirect` utility that is cross-compatible between JavaScript server runtimes with built-in Typescript support. These runtimes include Cloudflare Workers, Deno, and Bun. The utility handles every edge case gracefully. It can redirect to both internal and external locations. Relative redirects first normalize the path and are then used as the value for the a Location header. Redirects to external URLs should use the static `Response.redirect` method. The utility is able to check if its input a a full URL or a relative path. If it is an URL it ensures that it is both valid and secure (https), and if it is a path, it normalizes it, making sure that it starts with a single forward slash. It should also allow for a second parameter that is either of type number or the ResponseInit interface. By default it is a value of 302.
Create a title, Create a detailed how-to blog heavily on mastering-test-orchestration-unleash-innovation-and-efficiency-at-scale; start with a catchy statement and lastly, call to actions and how our RESTful AI tool can help. Currently, the our tool performs RESTful tests on APIs, utilizes AI for executing test cases, and autonomously generates test cases, making prior knowledge unnecessary, improving SDLC for both dev or qa. Just plug in your cURL request and run test leveraging our AI. Call to action at https://blvck.ai, with keywords, short and simple, without mentioning blvck.ai
Why Columbia University is not ranked high in Computer Science?
The proposed method Debiasing using Channel Attention Blocks (DCAB) is implemented on the ShincNet and the six state-of-art architectures mentioned in \cite{RN462} that were heavily biased due to imbalanced MP-36 dataset.
Please reframe the above sentence for the better readability