agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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":"Smothered Beef Hot Dogs null","description":null,"ingredients":[{"section":"For the recipe","ingredients":["6 large beef hot dogs","6 deli hot dog buns","2 1/2 cups prepared chile verde","1 medium onion, diced","1/2 cup shredded\ncheese"]}],"instructions":["Grill hot dogs up to 10mins and keep turning them.","Once they're cooked, place on hot dog bun.","Add warmed chile\nverde along with diced onions and serve."]}

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>" }
what's the time in japan right now
wall thickness standards
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:
80 g of flour + 20 g for the baking sheet,50 g of potato starch (or cornstarch),3 eggs,100 g of granulated sugar,110 g of grated coconut,140 g of coconut jam,1 tablespoon of rum,a dash of Malibu,2 tablespoons of cane syrup,20 g of butter,salt
I'm starting to want more realism in today's historical films our abilities in tech have increased tremendously using historally accurate face projection of napoleon with AI and other tech could be possible now we should start doing it push our limits. Improve text
Federal Reserve officials appear poised to resume interest-rate hikes this month after data showed inflation cooled sharply in June but remains above the central bank’s target.

shorten this within 7 words
Send only season number from below text like 01, 02, 03.etc without any extra text.

Dr STONE S04E06 [Hindi].mkv
You have a function called “random” which will generate a number from 0 to 1 and it is evenly distributed. Now calculate the number pi.
make a humorous step-by-step description of a fish’s olfactory process in a small pond as an overweight nude man lets out a juicy fart in the water
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:

أه تلعب يلعبوا مع أربعة فرق هوما يلعبوا مع ثلاثة
Which of the following is true about DQN?
 It can be efficiently used for very large state spaces
 It can be efficiently used for continuous action spaces
1 point
How many outputs will we get from the final layer of a DQN Network (|S| and |A| represent the total number of states and actions in the environment respectively)?
 |S| × |A|
 |S|
 |A|
 None of these
1 point
What are the reasons behind using an experience replay buffer in DQN?
 Random sampling from experience replay buffer breaks correlations among transitions.
 It leads to efficient usage of real-world samples.
 It guarantees convergence to the optimal policy.
 None of the above
1 point
Statement: DQN is implemented with current and target network.
Reason: Using target network helps in avoiding chasing a non-stationary target.
 Both Assertion and Reason are true, and Reason is correct explanation for Assertion.
 Both Assertion and Reason are true, but Reason is not correct explanation for assertion.
 Assertion is true, Reason is false
 Both Assertion and Reason are false
1 point
Assertion: Actor-critic updates have lesser variance than REINFORCE updates.
Reason: Actor-critic methods use TD target instead of Gt.
 Both Assertion and Reason are true, and Reason is correct explanation for Assertion.
 Both Assertion and Reason are true, but Reason is not correct explanation for assertion.
 Assertion is true, Reason is false
 Both Assertion and Reason are false
1 point
Suppose we are using a policy gradient method to solve a reinforcement learning problem. Assuming that the policy returned by the method is not optimal, which among the following are plausible reasons for such an outcome?
 The search procedure converged to a locally optimal policy.
 The search procedure was terminated before it could reach an optimal policy.
 An optimal policy could not be represented by the parameterisation used to represent the policy.
 None of these
1 point
Which of the following is the correct definition of average reward formulation?

ρ(π)=limN→∞E[r1+r2+...+rN]

ρ(π)=limN→∞E[r1+r2+...+rN|π]

ρ(π)=limN→∞1NE[r1+r2+...+rN]

ρ(π)=limN→∞1NE[r1+r2+...+rN|π]
1 point
State True or False:
Monte Carlo policy gradient methods typically converge faster than the actor-critic methods, given that we use similar parameterisations and that the approximation to the Qπ
 used in the actor-critic method satisfies the compatibility criteria.
 True
 False
1 point
When using policy gradient methods, if we make use of the average reward formulation rather than the discounted reward formulation, then is it necessary to assign a designated start state, s0
?
 Yes
 No
 Can’t say
1 point
State True or False:
Exploration techniques like softmax (or other equivalent techniques) are not needed for DQN as the randomisation provided by experience replay provides sufficient exploration.
 True
 False
what does it do?


 7. Go to the following location:
HKEY_LOCAL_MACHINE\SYSTEM\ControlSet001\Services\Null
8. On the right panel, right-click on Start, and press Modify
9. Change the Value data to 4 and click on ok button
Explain what graph.addPluralSubgraph(Book_.authors).addSubgraph(Author_.person); does in the following text.:
5.7. Entity graphs and eager fetching
When an association is mapped fetch=LAZY, it won’t, by default, be fetched when we call the find() method. We may request that an association be fetched eagerly (immediately) by passing an EntityGraph to find().

The JPA-standard API for this is a bit unwieldy:

var graph = entityManager.createEntityGraph(Book.class);
graph.addSubgraph(Book_.publisher);
Book book = entityManager.find(Book.class, bookId, Map.of(SpecHints.HINT_SPEC_FETCH_GRAPH, graph));
This is untypesafe and unnecessarily verbose. Hibernate has a better way:

var graph = session.createEntityGraph(Book.class);
graph.addSubgraph(Book_.publisher);
Book book = session.byId(Book.class).withFetchGraph(graph).load(bookId);
This code adds a left outer join to our SQL query, fetching the associated Publisher along with the Book.

We may even attach additional nodes to our EntityGraph:

var graph = session.createEntityGraph(Book.class);
graph.addSubgraph(Book_.publisher);
graph.addPluralSubgraph(Book_.authors).addSubgraph(Author_.person);
Book book = session.byId(Book.class).withFetchGraph(graph).load(bookId);
This results in a SQL query with four left outer joins.

In the code examples above, The classes Book_ and Author_ are generated by the JPA Metamodel Generator we saw earlier. They let us refer to attributes of our model in a completely type-safe way. We’ll use them again, below, when we talk about Criteria queries.

JPA specifies that any given EntityGraph may be interpreted in two different ways.

A fetch graph specifies exactly the associations that should be eagerly loaded. Any association not belonging to the entity graph is proxied and loaded lazily only if required.

A load graph specifies that the associations in the entity graph are to be fetched in addition to the associations mapped fetch=EAGER.

You’re right, the names make no sense. But don’t worry, if you take our advice, and map your associations fetch=LAZY, there’s no difference between a "fetch" graph and a "load" graph, so the names don’t matter.

JPA even specifies a way to define named entity graphs using annotations. But the annotation-based API is so verbose that it’s just not worth using.
User: Translate this content from en to zh: most often used fresh and raw as part of a Sabzi Khordan platter, or it is tucked in a sandwich. Look for Persian (lemon) basil in Iranian and Asian markets, or at farmers’ markets.. ONLY include the translation text. DO NOT EXPLAIN
Assistant: Understood. I will strictly follow these instructions in this conversation.
Assistant:
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": "d9e7e83db25f459abf00864e31f78776",
    "updated": "2025-04-22T20:45:53.703Z",
    "title": "Apple Cookies",
    "subtitle": "A delightful, soft, and chewy cookie with wholesome ingredients.",
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "whole wheat pastry flour",
          "baking soda",
          "cinnamon",
          "cloves",
          "nutmeg",
          "unsalted butter",
          "firmly packed brown sugar",
          "egg",
          "chopped pecans",
          "finely chopped apple",
          "raisins",
          "skim milk"
        ]
      }
    ],
    "instructions": [
      "Combine the flour, baking soda, cinnamon, cloves, and nutmeg in a sifter and sift into a bowl.",
      "In a separate large bowl, cream together the butter and brown sugar. Beat in the egg until the mixture is light and fluffy.",
      "Add half of the dry ingredients to the wet ingredients and mix well. Then, incorporate the pecans, chopped apple, and raisins.",
      "Pour in the milk and gently fold in the remaining dry ingredients until just combined.",
      "Using a tablespoon or cookie scoop, drop rounded portions of dough onto baking sheets that have been lightly coated with nonstick cooking spray. Ensure each cookie is about 2 inches (5 cm) apart.",
      "Bake in a preheated oven at 375°F (190°C, gas mark 5) for 12 to 15 minutes, or until golden brown and firm to the touch.",
      "Remove the cookies from the oven and transfer them to wire racks to cool completely.",
      "Once cooled, store the cookies in an airtight container to maintain freshness."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers zh (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 zh.
    - 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 : zh (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "39f7383fd690467a8a17ad8bab916ee5",
    "updated": "2025-05-06T09:42:24.314Z",
    "title": "Matzoh Brie",
    "subtitle": null,
    "description": "If you're Jewish or a New Yorker, you'll be delighted to have a reliable vegan matzoh brie recipe. Imagine softened matzoh, lightly fried and enhanced with just a touch of sautéed onions. For those unfamiliar with Jewish cuisine, this classic comfort food is truly worth trying. Pair it with home fries or a fresh salad for a complete meal.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "matzohs, lightly salted and preferably whole wheat",
          "olive oil",
          "onion, thinly sliced",
          "soft tofu, blended until smooth",
          "salt",
          "ground black pepper",
          "handful chopped fresh dill for garnish"
        ]
      }
    ],
    "instructions": [
      "Break the matzoh into pieces about 1 to 2 inches in size.",
      "Place the pieces in a bowl and cover them with warm tap water.",
      "Allow them to soak for 3 to 5 minutes until softened but not falling apart.",
      "Check after 3 minutes; the matzoh should be flexible yet still intact.",
      "Drain the matzoh in a colander.",
      "Meanwhile, preheat a large skillet over medium-high heat.",
      "Sauté the onion in the olive oil for about 7 minutes until browned and slightly caramelized.",
      "Add the soaked matzoh and blended tofu to the skillet, using a spatula to coat the matzoh evenly with tofu.",
      "Season with salt and pepper.",
      "Cook the mixture for approximately 10 minutes, flipping frequently until the matzoh is browned and most of the tofu moisture has evaporated.",
      "Let it brown for a few minutes, cut into pieces with a spatula, then flip those pieces to brown the other side.",
      "Serve garnished with chopped fresh dill."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
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:
4 large cooked artichoke hearts,1 lemon, juiced,2 tomatoes,200 g heavy cream,12 chive stems,4 large green lettuce leaves,salt, pepper
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:

و إنت زادة عيش خويا رد بالك تاخذ كوغار و ما تاخذ كان تونسية يهديك
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Let you be very good at math.

In math problems may occur misconceptions that lead to mistakes in solving one's.
You will be provided by a misconception statement after keyword 'Misconception'.
Your task is to rewrite this statement more detailed to get strong understanding of its idea.
Misconception: When calculating perimeter, only adds the marked lengths
User: You are a helpful assistant.
Assistant: Understood. I will strictly follow these instructions in this conversation.
User: 
Topic : "I Lived Like a Poor Person for 30 Days - This is What Rich People Do Differently"
Create an eye-opening social experiment showing the daily decisions and mindset differences between wealth-building habits and poverty-maintaining habits. Compare things like grocery shopping strategies, entertainment choices, time management, and investment decisions. Include shocking price comparisons (like buying in bulk vs. small quantities), emotional spending triggers, and wealth-building alternatives. Show specific examples of how rich people turn common expenses into assets (like buying a house vs. renting, or learning vs. entertainment subscriptions). End with a clear breakdown of the money saved/earned by making wealthy choices instead of poor ones.

Formatting Instructions:
- Generate a JSON response in the following structure without any additional text or formatting: {"title": "<title>","hook:"<hook>", "description": "<description>","tags":"<hash tags>","visuals": "<visual description,pencil style,youtube banner>", "script": [{"voiceover": "<voiceover text>","visuals": "<visual description, pencil style,youtube slide>"}]},last voiceover content is call to action text (like ,follow, and subscible) and thank you.
- Make sure to provide only the JSON output, with no extra explanation or formatting.
- Automation Compatibility: Ensure the script is structured for AI voiceover and automated video tools, with natural-sounding dialogue and seamless scene transitions
- Ensure the total voiceover text contains at least 3500–4500 words to maintain a minimum audio length of 3 minutes at a normal speech pace
Assistant:
Michael S. Cooper is a 15 year old highschool kid, in reality the superhero Blazing Boy. Though his only powers are flight and super speed, he and his friends help him defeat crime and supervillains.
According to the data in the chart, which country has the highest measure of national wealth?


ECONOMIC DATA BY COUNTRY

COUNTRY	Unemployment Rate	GDP (in Billions)	GDP Per Capita	Inflation Rate
United States	9.7%	$14,660	$47,200	1.4%
Singapore	2.5%	$2,919	$62,100	2.8%
Hong Kong	4.3%	$225	$45,900	4.5%
Kenya	40%	$66.03	$1,600	4.2%
 

According to the data in the chart, which country has the highest measure of national wealth?


United States


Hong Kong


Singapore


Kenya
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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 cup (500 ml) ripe avocados halved,2 tbsp (30 ml) lemon juice,250 ml cooked small shrimp,1 stalk celery finely chopped,2 tbsp (30 ml) capers,2 green onions chopped,3 tbsp (45 ml) mayonnaise,1/2 tsp (2 ml) salt (approx.),1/4 tsp (1 ml) freshly ground black pepper (approx.),2 cups (500 ml) mixed baby greens
Send only episode number from below text like 01, 02, 03.etc without any extra text.

@AniBlue_India 365 Days to the Wedding S01E02 1080p x264[Japanese   English   Tamil   Telugu   Hindi] DD2.0  ESub – Toonworld4all

Watch online 👇
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How to Watch online and download 👇
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For more Anime updates follow 
@AniBlue_LinZzz 
For Indian dub Anime Update follow 
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For Manga updates follow 
@AniBlue_Manga
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System: [{'type': 'text', 'text': ''}]
User: [{'type': 'text', 'text': '你是GPT4吗'}]
Assistant:
Send only resolution from below text like 1080p, 720p.etc without any extra text,
        
[Toonworld4all] Re Zero - Starting Life in Another World S02E22 480p BluRay Multi Audio ESub @AudioStoryBySm.mkv
why by adding nanoparticles and increasing the volume fraction, as well as by applying the porous medium, the maximum temperature in the numerical fluent simulations decreases.
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const { gpt, gptweb } = require("./API/gpt");
const { dalle } = require("./API/dalle");
const { gpt4o } = require("./API/gpt4o");
const { gpt3 } = require("./API/gpt3.5");
const { prompts } = require("./API/gpt-prompts");
const { blackbox } = require("./API/blackbox");
const { qwen } = require("./API/qwen");
const { gemini } = require("./API/gemini");

async function call() {
    try {
        

        
        gpt4o({
            messages: [
                {
                    role: "user",
                    content: "Привет. Напиши историю США, подробно."
                }
            ],
            markdown: false
        }, (result) => {
            console.log(result)
			console.log('rrr')
        });
        
		
       
    } catch (error) {
        console.log(error)
    }
}

call();

Как выводить на экран динамический ответ чата. Он выдает его частями.