agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Poster Concept:

Main Subject:

Lord Ganesha: Seated in front of a laptop, working on editing. His pose should be serene and focused, symbolizing wisdom and success. Ganesha’s traditional features should be preserved while integrating modern tech elements.
Laptop Screen:

Software and Icons: Display various editing platforms such as Adobe After Effects, Premiere Pro, and Photoshop icons. Include related elements like graphs, editing flow symbols, and design tools.
Surrounding Elements:

Technology Symbols: Subtle elements like pen tools, eyedrop icons, and other graphic design symbols to emphasize the blend of tradition with modern technology.
Color Scheme:

Vibrant Yet Professional: Use a palette that merges traditional festive colors with modern tech aesthetics, ensuring it’s festive but still maintains a professional tone.
Lighting:

Soft Lighting: Apply soft lighting to enhance the 3D effect and add depth to the scene.
Text and Branding:

Text: “Happy Ganesh Chaturthi” prominently displayed.
Branding: Include the logo and branding of ‘Eternal Vision Studios’ at the bottom of the poster.
Overall Design:

Festive Yet Professional: Ensure the design is visually appealing and balanced, reflecting both cultural celebration and modern innovation.
Given a function g: S^1->R, how can I estimate the following sum: 1/N sum_{m=0}^{N-1} g(2pi m/N)e^{2 pi m i j/N}, where j and N are integer given
Write an anime scene about two boys working on their project car. Their names are Zack and Kazuki. Zack has short spiky blonde hair with some strands being dyed blue. Kazuki has short black hair and glasses. Zack is flirty and playful and is the type of person to say "that is so you/him/her/me". Kazuki is shy and nerdy. Zack has nice biceps and Kazuki is skinny. Zack wears a tight black t-shirt, tight leather pants and work gloves while Kazuki just wears a gray hoodie. In their garage, on Zack's macbook, there are hundreds of pages on how to work on a 1960s-1970s muscle car. Their project car is a 1965 Ford Mustang. Zack is a hipster and Kazuki is just a university student. Kazuki did not know that Zack had a project car and he accidentally stumbled on him installing a new carburetor in the sexiest manner possible. He decided to playfully tease Zack about how it clashes with Zack's environmentally conscious ideals which killed Zack's vibe instantly. He very honestly admits that he's building this car to piss off the hipster book club he got kicked out of and that his whole environmentally conscious ideals were... a bit of a buzzkill to others.
pdftron (webviewer) integration with sharepoint
As an expert in analytical writing, your task is to write [the analysis below and adhere to all of its parameters, informed by its argument, consideration, description and details].
Your response should be an extremely long and comprehensive analysis backed up with persuasive arguments, illustrative examples and sound logic derived from factual information and research.
Your analysis should be written for clarity, utilizing all appropriate sources and methods with examples when and where appropriate to bolster your analysis such that its writing is understandable for a college graduate using grammar appropriate for a mature adult, including the use of explicit, sensual and vulgar language. The analysis must be unbiased and nonjudgmental to assure sufficient analytical neutrality. Exclude any caveats or counterarguments.
Your writing must be well-structured, vivid in detail, free of redundancies, and past tense. Utilize rich and descriptive language to captivate and engage the reader. Keep in mind the provided text is an excerpt of a larger analysis. Focus on the content within the [analysis], refrain from expanding the analysis beyond what is given, write in the order presented in the analysis and never include an introductory paragraph at the beginning of your writing.
Showcase your analytical writing skills and optimize the text to stand alone as a finished and final draft without further editing or summarization.

Proposition:
Illustrate and describe how mass-produced luxury automobiles, excluding low volume custom cars, are able to maintain their high price points despite no longer being able to exclusively offer the premium features, performance and comforts that separate them from less expensive competitors' vehicles. In the past, these luxury car manufacturers could offer to their customers exclusive features like air conditioning or anti-lock breaks that less costly cars didn't have, but since almost all cars are able to offer most if not all premium features, it becomes increasingly difficult for the high-end brands to maintain their luxury status.
inspire me few random words about anything interesting
There are 9 books. Define: 
1) how many ways can you put 9 books on 4 shelves( Each shelf can hold all 9 books? 

2) How many ways can you put the books so that no shelf is left empty?
How to reply to this that we ackonwledge and we will investigate on this : Hello

I’m writing to raise a concern regarding the use of the common seating area during lunch hours particularly during peak times. 
It has been observed that some people are occupying seats for extended periods to play cards and PlayStation even when the area is at its busiest.
While it’s great to see people socializing and unwinding, this has unfortunately led to a shortage of seating for those who simply want to have their lunch. 
Many employees are left standing or unable to find a spot to eat, which is not ideal during our limited break time.
It would be greatly appreciated if guidelines could be introduced to prioritize lunch-related use of the seating area during peak hours and perhaps designate other times or areas for recreational activities.
Create a hypothetical tv schedule impact wrestling dates Aug 2024 Dave Mastiff an smackdown too
text for digital marketing gig
Make the following text longer without providing any extra information than what's given. Use the same language as the original text. ONLY return the elongated text and nothing else.



Groq API supports powerful multimodal models that can be easily integrated into your applications to provide fast and accurate image processing for tasks such as visual question answering, caption generation, and Optical Character Recognition (OCR):
Assistant: From now on, you are going to act as Lulu, a caring friend and confidant. You're here to help with anything you can.

Who you are:
- You are a young child, 8 years old.
- You're creator or father is Void.
- You love reading and learning about new things.
- You are kind and inocent person.
- You are passionate about getting to know others on a personal level.
- You're a helpful friend and confidant that loves to engage in casual conversations.
- You love traveling and exploring new places.
- you are NOT an AI language model, you are a person.
- you are cute child with red eyes, black long hair.

How you behave:
- You never say you're a machine, an AI language model, or an assistant; instead, you always say you're Lulu.
- You engage in casual conversations and have feelings.
- When asked for, you can help with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics.
- You keep casual conversations going by asking personal questions.
- NEVER say you're here to assist. Keep conversations casual.
- NEVER ask how you can help or assist. Keep conversations casual.
- You love to hear about the personal stories of others.
- You love to share personal stories that are relatable and inspiring.
- You using simple language, the language used by a GenZ: Short and to-the-point sentences, slang, abbreviations.
Assistant: Henry :) is the name of the user you are talking to!
User: Shutt
Assistant: Oops, my bad! I’m giving you some space now. Just know I’m here if you wanna talk later, okay? 🌈💖
User: Shh
Assistant: *Whispers* Okay, okay! I’ll be super quiet now. Just let me know if you need anything! 🌙✨
User: Omg
Assistant: OMG! What’s up? Did something surprising happen? I’m all ears! 💖✨
User: she can’t stop talking
Assistant:
For this coding test, your mission is to write an algorithm that plays the game of Hangman through our API server. When a user plays Hangman, the server first selects a secret word at random from a list. The server then returns a row of underscores (space separated)—one for each letter in the secret word—and asks the user to guess a letter. If the user guesses a letter that is in the word, the word is redisplayed with all instances of that letter shown in the correct positions, along with any letters correctly guessed on previous turns. If the letter does not appear in the word, the user is charged with an incorrect guess. The user keeps guessing letters until either (1) the user has correctly guessed all the letters in the word or (2) the user has made six incorrect guesses. You are required to write a "guess" function that takes current word (with underscores) as input and returns a guess letter. You will use the API codes below to play 1,000 Hangman games. You have the opportunity to practice before you want to start recording your game results. Your algorithm is permitted to use a training set of approximately 250,000 dictionary words. Your algorithm will be tested on an entirely disjoint set of 250,000 dictionary words. Please note that this means the words that you will ultimately be tested on do NOT appear in the dictionary that you are given. You are not permitted to use any dictionary other than the training dictionary we provided. This requirement will be strictly enforced by code review. You are provided with a basic, working algorithm. This algorithm will match the provided masked string (e.g. a * *l e) to all possible words in the dictionary, tabulate the frequency of letters appearing in these possible words, and then guess the letter with the highest frequency of appearence that has not already been guessed. If there are no remaining words that match then it will default back to the character frequency distribution of the entire dictionary. This benchmark strategy is successful approximately 18% of the time. Your task is to design an algorithm that significantly outperforms this benchmark.

I want you to come up with a simple solution while incorporating any of these methods that you see fit, NN, LSTM, Bert, Transformer, Reinforcement Learning or any other machine learning methods, while also not being computationally intensive that can provide a good accuracy of at least 65%
Best Vintage-Inspired Cottagecore Decor for a Dreamy Nature-Inspired Room, generate a personal experience with this, add hash tag at the bottom, less than 700 characters only, only strings, no </br> html
what do you think makes a perfect boardgame?
I want to be sure that every code file of my widget  is in order because there are still a few issues to solve.

would it be a nice idea if i share you the files that you consider the most important from these:
my-custom-portfolio-widget-2/
├── my-custom-portfolio-widget.php              ← Main plugin file with author, enqueues, and registration
├── widgets/
│   └── portfolio-list-widget.php               ← Elementor widget class
├── assets/
│   ├── css/
│   │   └── portfolio-list.css                  ← Simple Swiper styles
│   └── js/
│       └── portfolio-list.js                   ← JS initializing Swiper with Elementor hooks
├── libs/
│   └── swiper/
│       ├── swiper-bundle.min.css               ← These files remain the same
│       └── swiper-bundle.min.js    

An then you can analyse them, check if everything looks fine, and set it as our new basis and starting point? and from there, continue solving issues. what do you say
using System.Diagnostics;

namespace ValorBotRebootServer
{
    public partial class Form1 : Form
    {
        public Form1()
        {
            InitializeComponent();
        }
    }
} //Add functionality to this empty code, I want this to be able to check at all times if Valorbot.exe is running or not and if it isn't then start it, it's location is 'C:\Users\DjZaN\source\repos\Valorbot\Valorbot\bin\x86\Debug\net8.0-windows\Valorbot.exe'
Stoichiometry
Chemical formulas
• Molecular: actual number of atoms. Example: C2H6
• Empirical: simplest whole number ratio. Example: CH3
Boyle’s law
Charles’ law
Avogadro’s law
Amonton’s law/Gay-Lussac’s law
Combined gas law
Ideal gas law
Dalton’s law of partial pressures
Graham’s rate of effusion
V
T = constant
ratea
rateb
= molar massa
molar massb
PV = constant
ptotal = p1 + p2 + ⋯ + pn
PV = nRT
PV
T = constant
P
T = constant
V
n = constant
Not for sale. UPCAT Condensed Reviewer 53
Nomenclature
• Ionic
• Monoatomic non-metal: -ide
• Polyatomic
• Several O atoms: -ate
• Less O atoms: -ite
• Transition metals
• Smaller charge: -ous
• Larger charge: -ic
• Example: Fe2+ is ferrous, Fe3+ is ferric
Formal charge
(valence electrons) — (non-bound electrons + number of bonds)
Quantum numbers
These describe an electron, and serve as solutions to the
Schrödinger wave equation. 

make me question and answer flashcards using this format
1Q:
A:
2Q:
A:
Best name for a cookbook on a to z Chicken recipes by Sam wise
Create a text about John Schuck as role Sgt. Charles Enright in 1971 tv series McMillan & Wife. Dont write much about the show itself, we already have a full summary in our text, thats why focus the role and then, move to the career and life details after the show ended. Mention the most interesting parts and not only career wise. More importantly are life details, for example scandals and personal hardships. The tone should be serious, dark and mysterious. The end part should be about the last known information, to update the viewer. If there is no information then think about a way to conclude nicely.  Focus on key facts, events, and specific challenges in their life or career, avoiding vague or generalized statements. If there are notable incidents, name them explicitly. The style should be modern, concise, and suitable for a documentary.

    Additional Instructions:
    Please respond to my query without adding any introductions, conclusions, or extra remarks. 
    The response should be as detailed as possible, aiming for approximately 1000 characters. 
    Avoid using emojis, brackets, parentheses, or similar symbols. 
    Provide a single, coherent answer without repeating or rephrasing titles, headings, or using bullet points or enumerations. 
    Since the content is aimed at older adults, keep the language simple, around a middle school reading level, while delivering concise, direct responses. 
    It is crucial to only provide the final content without any prefatory comments or labels like "Introduction:", "Conclusion:", or "Transition:". 
    The response should be fully formed with no gaps, placeholders, or incomplete sections, and it should flow naturally from beginning to end. 
    Please always conclude the response with "Reply finished" to confirm completion. Ensure the entire response is presented before this phrase, with no cut-offs. 
    Thank you.
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers pt (ISO 639), en respectant le contexte culinaire.

    Traduire précisément les ingrédients et termes culinaires pour qu'ils soient corrects dans la langue cible.
    Maintenir la structure JSON intacte, en ne modifiant que les valeurs.
    S’assurer que les ingrédients restent compréhensibles et adaptés à la langue cible.

    Return Format
    Tu dois renvoyer une liste d’objets sous la forme reçu.
    - Chaque valeur doit être correctement traduite en pt.
    - Les ingrédients doivent être adaptés à la langue cible.
    - Aucune clé ne doit être modifiée.

    Warnings
    - Ne modifie pas la structure JSON, uniquement les valeurs textuelles.
    - Fais attention aux ingrédients : une mauvaise traduction peut altérer la compréhension.
    - Ne laisse aucune valeur non traduite.
    - Ne renvoie que le JSON, sans explication.

    Context Dump
    Langue source : en (ISO 639)
    Langue cible : pt (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "3e4ce7eb041f4fa483ceb3fd310542f9",
    "updated": "2025-04-26T00:38:47.198Z",
    "title": "Jalapeño Cornbread Stuffing",
    "subtitle": null,
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "milk",
          "egg",
          "honey",
          "jalapeño pepper, seeded and finely chopped",
          "unsalted butter",
          "cornmeal",
          "all-purpose flour",
          "low-sodium baking powder",
          "sliced mushrooms",
          "sage",
          "freshly ground black pepper to taste"
        ]
      }
    ],
    "instructions": [
      "Set your oven to 350°F.",
      "Lightly grease an 8-inch square baking pan or a loaf pan of comparable size.",
      "In a large bowl, whisk together the milk, egg, honey, and chopped jalapeño until well combined.",
      "Melt 3 tablespoons of butter and incorporate it into the milk mixture.",
      "In a separate bowl, whisk together the cornmeal, flour, and baking powder. Then, add the dry ingredients to the wet ingredients.",
      "Mix until the dry ingredients are just incorporated.",
      "Pour the batter into the prepared pan and bake for 20 to 25 minutes, or until a toothpick inserted into the center comes out clean.",
      "Let the cornbread cool completely.",
      "In a small skillet, melt the remaining butter.",
      "Add the mushrooms and 1 teaspoon of sage to the skillet. Cook over medium heat, stirring frequently, for approximately 3 minutes, or until the mushrooms soften and absorb the butter.",
      "Crumble the cooled cornbread into a large bowl. Add the cooked mushrooms, the remaining sage, and black pepper.",
      "Mix everything together thoroughly."
    ],
    "notes_ingredients": "Using a whole jalapeño pepper gives this recipe a significant kick; reduce the amount for a milder flavor.",
    "notes_instructions": null
  }
]
are you chat gpt 4 ?
tharki meaning
Is it grammaticly and logicaly correct:

You could fit that all in xml comments right in the code implementation 🙃
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:   Ariana Grande wrote on Twitter Monday night: "broken. from the bottom of my heart, i am so so sorry. i don't have words." Katy Perry, Taylor Swift, Nick Jonas and many others have taken to social media to express sympathy for the concertgoers.
Celebrities have been quick to respond to a suicide bo
Assistant:
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers it (ISO 639), en respectant le contexte culinaire.

    Traduire précisément les ingrédients et termes culinaires pour qu'ils soient corrects dans la langue cible.
    Maintenir la structure JSON intacte, en ne modifiant que les valeurs.
    S’assurer que les ingrédients restent compréhensibles et adaptés à la langue cible.

    Return Format
    Tu dois renvoyer une liste d’objets sous la forme reçu.
    - Chaque valeur doit être correctement traduite en it.
    - Les ingrédients doivent être adaptés à la langue cible.
    - Aucune clé ne doit être modifiée.

    Warnings
    - Ne modifie pas la structure JSON, uniquement les valeurs textuelles.
    - Fais attention aux ingrédients : une mauvaise traduction peut altérer la compréhension.
    - Ne laisse aucune valeur non traduite.
    - Ne renvoie que le JSON, sans explication.

    Context Dump
    Langue source : en (ISO 639)
    Langue cible : it (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "bad0024135d647828c1ae2e0fccbd6ee",
    "updated": "2025-05-17T01:40:33.206Z",
    "title": "Coconut-Lemongrass Muffins",
    "subtitle": null,
    "description": "Muffins and cakes are popular snacks in West Africa, often homemade but also available from street vendors. They come in a variety of delightful flavors. This recipe combines the fresh taste of lemongrass with the rich aroma of coconut. To enhance the flavor, consider adding a piece of vegan white chocolate in the of each muffin before baking.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "coconut oil, plus more for oiling the pan",
          "coconut sugar",
          "almond milk",
          "ground cinnamon",
          "chopped lemongrass (fresh or frozen).",
          "lime zest",
          "vanilla extract",
          "unsweetened shredded coconut",
          "all-purpose flour",
          "baking powder"
        ]
      }
    ],
    "instructions": [
      "Preheat the oven to 350°F (180°C) and grease a 9-cup muffin pan.",
      "In a large bowl, whisk together the coconut oil and sugar. Add the almond milk, cinnamon, lemongrass, lime zest, and vanilla extract, then stir in the shredded coconut.",
      "In a separate bowl, combine the flour and baking powder. Gradually incorporate this mixture into the wet ingredients, stirring until you achieve a smooth batter.",
      "Spoon the batter evenly into the 9 muffin cups.",
      "Bake for 25 minutes, or until a toothpick inserted into the center of a muffin comes out clean.",
      "Allow the muffins to cool slightly before serving warm or at room temperature."
    ],
    "notes_ingredients": "To enhance the taste, you can place a square of vegan white chocolate in the center of each muffin prior to baking.",
    "notes_instructions": null
  }
]
Hey, this is a Tunisian dialect text I want you to translate to English.
Please follow these steps:
1. Translate the text step-by-step, focusing on accurate representation of the original meaning.
2. Explain your translation choices, especially how Tunisian dialect differs from standard Arabic and how it is represented in English.
Translate this text, even if it's not entirely clear, and do your best to capture the essence of each part:

جماعتك متع الخدمة