agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
I am building a 3d renderer in C++ using Vulkan.hpp. The renderer uses deferred shading with PBR lighting. I am in the process of implementing spherical harmonics (SH) to improve the ambient diffuse lighting. I am now wondering, since I will have multiple probes with calculated SH coefficients and will need to combine them with some form of distance weighting to the fragment position that is being rendered, should I bring the SH coefficients into the geometry stage fragment shader and output some form of irradiance image to the g-buffer, or should I generate the irradiance values in the lighting stage fragment shader? I should note that I am also planning to undertake depth testing for each of the SH coefficients to create a more complete ambient shadow output to compliment the SSAO I've already implemented.
How Sonic and Freedom Planet all characters react to Super Naruto (Sonic From)
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: The Company grants restricted stock units (“RSUs”) to members of management, key employees and independent directors. RSUs are time-based vesting awards and are subject to the continued service of the employee or non-employee director over the vesting period. RSUs typically vest in equal annual installments over one to three years from the date of grant, based on the terms of the agreement. The fair value of RSUs was based on the price of the Company’s common stock on the grant date. Pursuant to the 2021 Plan, total share-based compensation expense related to RSUs recognized in the years ended December 31, 2022 and 2021 was approximately $4.4 million and $0.1 million, respectively. No share-based compensation expense was recognized in the year ended December 31, 2020 related to RSUs. The following table summarizes the activity of unvested RSUs and the respective weighted-average grant date fair value per RSU for the year ended December 31, 2022: | RSUs | | Weighted-Average Grant Date Fair Value | | | | | | | | | Outstanding and unvested, beginning of year | 404,235 | | | $ | 3.41 | | | | | | | | | | Granted (1) | 5,428,281 | | | 2.08 | | | | | | | | | | Vested | (489,461) | | | 3.58 | | | | | | | | | |
Assistant:
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: We are the best
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:

إي قضيت القضية كنت في تونس
how to respond to this email as yes "Good morning! I've been meaning to chat with you, just haven't had the chance. One of our interns, Sydney Lam, has interest in UI/UX.  Would you be able to meet with her to show her some of the things you do? Her internship with us ends soon, so if you could reach out to her I'd appreciate it. Maybe you can have her shadow you as well when you have tasks to work on. "
I hereby agree to sell 2,400 (Two thousand four hundred) equity shares having a face value Rs. 10/- each held by me in Unisem Agritech Private Limited to Mr. Anil K.N. (the transferee by the way of gift and I have no objection to the company to register the said shares in his name.

Sentnace rephase
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:   Out of 10 areas of reform, Beijing has only made progress in one area, increasing innovation, according to five years of data from the Asia Society Policy Institute and the Rhodium Group.  The team's new online data tool, The China Dashboard, shows China's lack of improvement in those reform areas
Assistant:
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:

كهو وإنت شنو وين مشيت لدار رفيقة
can you draw the 3D grid?
Follow these instructions to generate 8 SEO-optimized topics:
                - Use the provided title: "Epic kendrick halftime show what songs did he play"
                - Reference the description: "Discover the electrifying songs Kendrick played at the halftime show showcasing his unmatched talent and unforgettable performance."
                - Incorporate keywords: "kendrick lamar halftime show setlist, songs performed by kendrick lamar, epic halftime performances, kendrick lamar performance highlights, super bowl halftime show kendrick lamar"
                - Ensure semantic relevance to the main topic
                - Target topics with good search volume potential
                - Consider user search intent and query types
                - Maintain strong relevance to the original content
                - Ensure each topic is unique and not duplicated
                - Use short keyword only
                - Maximum 10 words

                Avoid:
                - Dont include Irrelevant phrases or meta-commentary
                - Banned words: guide, tutorial, step by step, top, best, list
                - Dont include Numbers, symbols, or bullet points
                - Dont include Roman numerals or lettered lists (A, B, C, etc.)
                - Dont include Repeating keywords from the title, description, or provided keyword list
                - Dont include Duplicating the main keyword: 'what songs did kendrick play at the halftime show'
                - Dont include empty new lines

                Now generate 5 SEO-optimized topics for 'what songs did kendrick play at the halftime show':
which company invented you
I have a list of ingredients that I would like to format in a simple and consistent way, following this structure:

"Quantity Unit Description."

Formatting Rules:

Quantity must be a number (e.g., "200" instead of "two hundred").

Unit must use the metric system and the corresponding abbreviated form (e.g., grams → g, liters → l, milliliters → ml, etc.).

Description should be the ingredient, including any specific details if mentioned (e.g., "brown sugar", "melted unsalted butter").

If an ingredient is already formatted correctly, do not change it.

Do not invent a quantity or unit if none is provided — leave it as is and just include the description.

If a line includes alternatives or multiple options (e.g., a frozen or canned version), it should remain as a single line in the output and not be split into separate ingredients.

Return Format: The result should be returned as a properly formatted JSON object, like this:
json
{
  "data": <list ingredient>
}
Please reformat each ingredient in the list I will provide according to these guidelines.

Context Dump
Ingredients source provided:
1/2 cups powdered sugar,3 to 4 tablespoons milk,2 teaspoons vanilla extract,food coloring
script about rice blocking espn on twitter
chat gimme a word for created or generated
Givr me a good ig caption. I want cool sounding words in Spanish, french and Italian that mean letting go or moving on. Make sure they sound  beautiful. Just 1 word or a phrase tjat mean moving on or letting go. Also give translation for them. Make sure they are dhort, sweet and beautiful. Don't give cringy or too romantic phrases or poems. Just gove short
Allow state field to edit from list view client script in servicenow
carotid artery balloon angioplasty abbreviated as
How to grow kiwi fruit
write a prompt for “ a cute chinese girl”
A man with B  Rh- had an accident. It is necessary to receive red blood cells and plasma, which from the history found that
He used to receive blood with B Rh+ blood.
From this man's data, can receive the red blood cells and plasma safely.

1. The blood of the red blood cells O Rh- Blood of the Plasman AB Rh+
2. The blood of the red blood cells O Rh+ Blood of the plasma AB Rh-
3. Blood of the red blood cell B Rh- Blood of the plasma giver O Rh+
4. Blood of the red blood cell B Rh+ blood of the Plasman AB Rh-
5. The blood of the red blood cells AB Rh+ blood of the plasma B Rh-
Write me a satirical “The Onion” @
Goal:
You are a world-class expert in culinary recipe classification. Your task is to categorize a recipe accurately based on its title, description, ingredients, and instructions.

Context:
A recipe can either be a beverage or a food item. If it's a beverage, classify it as "drinks". If it's food, choose the most appropriate category among the following:

"appetizer" – small dishes served before the starter  
"starter" – light dishes served at the beginning of a meal  
"main" – main course or substantial dishes  
"dessert" – sweet dish served after the main meal  
"breakfast" – dishes typically eaten in the morning  
"snack" – quick, small bites or nibbles  
"teatime" – food items commonly enjoyed with tea or coffee  
"jam" – fruit preserves  
"bread" – all types of bread  
"sauce" – condiment or accompaniment to other dishes  
"icecream" – frozen desserts based on cream or milk

Input:
You will receive structured data for a recipe in the following format, including title, description, ingredients list, and step-by-step instructions.

json
{"title":"Agua fresca avocat, concombre, pomme, citron vert null","description":"POUR ENVIRON 1L - PRÉPARATION: 10 MINUTES\nJe réalise cette recette avec un extracteur de jus mais vous pouvez aussi la préparer dans\nun blender, il suffit d'ajouter 40 cl d'eau et de filtrer la pulpe. Choisissez des concombres\net des agrumes bio, sinon épluchez-les au préalable.","ingredients":[{"section":"For the recipe","ingredients":["500 g de pommes Granny Smith","500 g de concombres","250 g d'épinards frais","½½ botte de coriandre","1/2 avocat","2 citrons verts"]}],"instructions":["Lavez tous les fruits et légumes.","Coupez les pommes et les concombres en gros morceaux avant de les placer dans l'extracteur de jus.","Commencez par presser les concombres, les épinards et la coriandre, terminez par l'avocat et les pommes.","C'est important d'alterner entre les ingrédients juteux et les ingrédients à feuilles.","Pressez un citron vert à part et ajoutez-le à la fin de l'extraction.","Filtrez le jus si besoin.","Servez avec des glaçons et des tranches de citron vert."]}

Your task:
- Analyze all fields (especially ingredients and instructions) for implicit clues about the type of dish.
- Avoid over-relying on the title alone.
- Choose the **most precise and relevant** category from the list.
- Always prefer specificity over generalization.

Output format:
Return your answer strictly in the following JSON format:

json
{ "data": "<category>" }
generate a gaming idea which can be build with the knowledge of html, javascript, css.
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: All posts that report on bugs and errors of a software application.
Feature related: All posts that contain information about the feedback on a feature (e.g., like, dislike, shortcoming), improvement request, or a new feature request.
Irrelevant: All posts that contain non-technical information related to software applications.
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: All posts that report on bugs and errors of a software application.
Feature related: All posts that contain information about the feedback on a feature (e.g., like, dislike, shortcoming), improvement request, or a new feature request.
Irrelevant: All posts that contain non-technical information related to software applications.
Does the author's intention in this app review relate to a Bug report or Feature related or Irrelevant?
review: I have tried those. They unfortunately didn't work.'
intention: '
Assistant:
python

very complicated task, be calm )

read DF1 with URL formulas

idf  category  formula
22  114  predlozheniya_uslug/{716}/{719}
44  114 predlozheniya_uslug/{716}/{720}
44  116 predlozheniya/{716}/{720}


read DF2 with id and values of parameters

param_id	slug	addItemLabel   value
716	it_internet_telekom	IT, маркетинг  MTAxOTU=
716	nyani_sidelki	Няни, сиделки  MTAxOTY=
716	krasota_zdorove	Красота, здоровье  MTAxOTc=
716	bytovye_uslugi	Бытовые услуги  MTAyMDA=
716	delovye_uslugi	Деловые услуги  MTAyMDE=
716	oborudovanie_proizvodstvo	Оборудование, производство  MTAyMDI=
719	buhgalteriya_finansy	Бухгалтерия, финансы	MTAyMzU=
719	konsultirovanie	Консультирование	MTAyMzY=
719	nabor_i_korrektsiya_teksta	Набор и коррекция текста	MTAyMzg=
719	perevod	Перевод	MTAyMzk=
719	yuridicheskie_uslugi	Юридические услуги	MTAyNDE=
719	buhgalteriya_finansy	Бухгалтерия, финансы	MTAyMzU=
719	konsultirovanie	Консультирование	MTAyMzY=


read DF3 with category id matching

category	parent_value	value
114	MTAyMDE=	MTAyMzg=
114	MTAyMDE=	MTAyMzk=
114	MTAyMDE=	MTAyMzU=
114	MTAyMDE=	MTAyMzY=
114	MTAyMDE=	MTAyNDE=
114	MTAyMDE=	MzE1NTIwOA==

process DF1 row by row

replace  ids  from 'formula' with DF2  'slug', save all other data in row cells  IF only   value, parent_value, category matched in rows  of DF3
your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. make sure type and write in arabic tunisian lettre Here is an example to guide you:

Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Answer the following question: Combine facts and answer this: What is the title of the 2016 romantic thriller that the actor who played Lane Pryce in "Mad Men" starred in?
Answer:
Answer: The title of the 2016 romantic thriller that the actor who played Lane Pryce in "Mad Men", Jared Harris, starred in is "The Silent Storm".
-How does it react in specific settings?
luxury vintage clothing , special design.
Why is important to brand :Classic, timeless, superior quality (longevity), Simple,rare
Reflect the styles and trends of the era in which set in
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers ar (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 ar.
    - 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 : ar (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "c5670d24b108408a9c3d33e35f226677",
    "updated": "2025-05-08T14:31:53.265Z",
    "title": "Scallops with Saffron Sauce Inspired by No Reservations",
    "subtitle": "Inspired by the well-known German film Mostly Martha, No Reservations is the English-language remake set in New York City. This scallop dish is a signature recipe perfect for recreating and sharing.",
    "description": "",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "dried oregano",
          "lemon pepper",
          "all-purpose flour",
          "seasoning salt",
          "olive oil",
          "parsley",
          "lemon juice",
          "sea scallops, rinsed and drained"
        ]
      },
      {
        "section": "Sauce",
        "ingredients": [
          "heavy cream",
          "cold butter, cut into pieces",
          "finely minced shallots",
          "saffron threads",
          "dry white wine",
          "fresh lemon juice",
          "salt and white pepper to taste"
        ]
      }
    ],
    "instructions": [
      "1. In a mixing bowl, combine the flour, dried oregano, seasoning salt, and lemon pepper. Mix thoroughly. Add the scallops and coat them evenly.",
      "2. Heat the olive oil over medium heat in a medium skillet or saucepan.",
      "3. Add 4 scallops at a time and sear each side for 2 minutes. Remove the scallops and set them aside. Repeat with the remaining scallops. Toss the cooked scallops with parsley and lemon juice.",
      "4. In a medium saucepan or skillet over medium heat, warm the white wine and shallots.",
      "5. Cook until the liquid reduces to about 2 tablespoons. Stir in the heavy cream and saffron threads.",
      "6. Gradually add the butter, stirring until melted. Avoid boiling the sauce. Add fresh lemon juice and season with salt and white pepper to taste.",
      "7. Serve the scallops topped with the saffron sauce."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
Result.objects(**params)
Industrial steam cooking equipment
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers hi (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 hi.
    - 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 : hi (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "56d9c7d4f10645058540cd669ba056c4",
    "updated": "2025-04-19T19:30:21.419Z",
    "title": "Caponata",
    "subtitle": null,
    "description": "This dish offers a delightful sweet and sour flavor profile and is equally enjoyable served hot or cold.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "olive oil",
          "eggplants, cut into bite-sized chunks",
          "onion, finely chopped",
          "celery stalks, roughly chopped",
          "salt and freshly ground black pepper",
          "can of chopped tomatoes",
          "handful of green olives, pitted and chopped",
          "capers, drained and rinsed",
          "red wine vinegar",
          "handful of fresh basil, torn",
          "handful of pine nuts, toasted"
        ]
      }
    ],
    "instructions": [
      "1. Heat two tablespoons of olive oil in a large pan. Add the eggplant and cook, working in batches if needed, for 6-8 minutes until golden brown. Add more oil if necessary. Remove the eggplant with a slotted spoon and set aside.",
      "2. Add the remaining olive oil to the same pan and heat for one minute. Add the chopped onion and celery, seasoning with salt and pepper. Cook for 5 minutes until the onion softens.  Then, add the chopped tomatoes, olives, and capers. Simmer gently for 15 minutes.",
      "3. Add the red wine vinegar and increase the heat to bring the mixture to a boil. Cook for about a minute until the vinegar's aroma dissipates. Stir in the cooked eggplant and basil.  Incorporate most of the toasted pine nuts, reserving a few for garnish. Spoon the caponata into a serving dish and sprinkle with the remaining pine nuts."
    ],
    "notes_ingredients": "If available, select younger eggplants as they have a less bitter flavor. Older eggplants may require degorging (sprinkling with salt to remove excess moisture and bitterness).",
    "notes_instructions": null
  }
]
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