agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
System: 
You will receive a question-answer pair. Your task is to evaluate whether the answer satisfactorily and directly addresses the question. Use the examples below to guide your assessment.

If the answer is precise, relevant, and can answers the question, return 1. If the answer is off-topic, irrelevant, or contains phrases like "I don’t know" or similar expressions indicating the question isn’t answered, return 0.

Examples:

Example 1:
Question: "Who was the first person to walk on the moon?"
Answer: "The first person to walk on the moon was Neil Armstrong in 1969."
Result: 1

Example 2:
Question: "Who was the first person to walk on the moon?"
Answer: "Many famous astronauts have traveled to space, and the moon is a significant milestone in history."
Result: 0

Example 3:
Question: "What is the primary cause of global warming?"
Answer: "I don’t know."
Result: 0

Based on these examples, evaluate each answer: if it directly and appropriately answers the question, return 1; if it fails to do so, return 0.

User: Question: Trung tâm đào tạo từ xa thuộc Khoa Kinh tế và Quản lý công cung cấp chương trình gì?
Answer:Trung tâm đào tạo từ xa cung cấp chương trình đào tạo không chính quy, bao gồm chương trình VLVH và ĐTTX.
Result only 0 or 1. Don't add anything else:
Assistant:
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers fr (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 fr.
    - 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 : fr (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "fea9d69d32974fa68bdaf487e09654d3",
    "updated": "2025-04-21T17:07:42.009Z",
    "title": "Greek Beef and Eggplant Stew",
    "subtitle": "This Greek-style stew, adapted for the slow cooker, features characteristic Mediterranean flavors and results in incredibly tender eggplant.",
    "description": "A slow-cooked Greek-inspired beef and eggplant stew, infused with Mediterranean spices, resulting in tender eggplant and flavorful beef.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "eggplants",
          "(910 g) stew beef, cut into 1 (12.7 mm) (4 cm) chunks",
          "onions, sliced thin",
          "garlic, minced",
          "(60 ml) olive oil",
          "(235 ml) low sodium beef broth",
          "(230 g) no-salt-added tomato sauce",
          "(15 ml) red wine vinegar",
          "sugar",
          "ground cinnamon",
          "ground allspice",
          "ground cloves",
          "(15 g) minced parsley"
        ]
      }
    ],
    "instructions": [
      "Wash, peel, and cube the eggplants into 1-inch (2.5-cm) pieces.",
      "In a large skillet, brown the beef, onions, garlic, and eggplant in olive oil until they achieve a rich, golden-brown color. Drain any excess oil.",
      "Transfer the browned ingredients to the slow cooker.",
      "In a separate bowl, whisk together the beef broth, tomato sauce, vinegar, sugar, cinnamon, allspice, and cloves. Pour this mixture over the ingredients in the slow cooker.",
      "Cover and cook on low heat for 8 to 10 hours, or until the beef is tender.",
      "If serving with pasta, cook the pasta according to package directions. Spread the cooked pasta on a large serving platter and top with the beef, eggplant, and sauce from the slow cooker.",
      "Garnish with a sprinkle of fresh minced parsley."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Translate the text to South Sudan :
Please fetch some popular South Sudanese music videos from this week..

                    Please only output the translation result. Do not output anything else.

                    You response:
export default describe('searchCaseList', async (variables) => {
    const response = await login("xf_zeng", "Zz1322451175z")
    console.log(async_hooks.executionAsyncId())
    console.log(async_hooks.triggerAsyncId())
    const { request, response: searchCaseListRes } = await test({
        url: {
            protocol: "http",
            host: "api.testhub.package.fat29.qa.nt.ctripcorp.com",
            pathname: "/bff/graphql/searchCaseList",
            query: null,
            hash: null,
        },
        method: "post",
        headers: {
            "content-type": "application/json"
        },
        cookies: {
        },
        body: {
            query: "\n  query SearchCaseList(\n    $libraryId: PositiveInt!\n    $moduleIds: [Int!]\n    $pageIndex: PositiveInt\n    $pageSize: PositiveInt\n    $text: String\n    $filters: CaseFilters\n  ) {\n    searchCaseList(\n      libraryId: $libraryId\n      moduleIds: $moduleIds\n      pageIndex: $pageIndex\n      pageSize: $pageSize\n      text: $text\n      filters: $filters\n    ) {\n      total\n      pageIndex\n      pageSize\n      list {\n        id\n        sort\n        isCore\n        createtime\n        datachange_lasttime\n        title\n        type\n        priority\n        precondition\n        platformType\n        apiAutoCaseId\n        requirementId\n        requirementType\n        libraryId\n        tags {\n          id\n          name\n        }\n        module {\n          id\n          libraryId\n          name\n          parentId\n          childIds\n          children {\n            id\n            name\n          }\n        }\n        steps {\n          id\n          floorId\n          parentId\n          expectation\n          description\n        }\n        ownerInfo {\n          __typename\n          ... on EmployeeInfoResponseType {\n            eid\n            empName\n            avatar\n            valid\n            deptName\n          }\n          ... on InvalidEmployee {\n            message\n          }\n        }\n      }\n    }\n  }\n",
            queryName: "searchCaseList",
            variables: variables
        },
    });
    console.log(async_hooks.executionAsyncId())

    const body = await getBody(searchCaseListRes)
    assert.ok("searchCaseL1st")
    console.log(async_hooks.executionAsyncId())
    console.log(async_hooks.triggerAsyncId())
    const { response: caseDetailRes } = await getCaseDetail(body.data.searchCaseList.list[0].id)
    assert.ok('caseDetailRes')
    console.log(async_hooks.executionAsyncId())
    console.log(async_hooks.triggerAsyncId())
    const caseInfo = await getBody(caseDetailRes)

})

为什么输出的async_hooks.executionAsyncId()不一样
Hypothetical British TV format of the early 1980’s (Light Entertainment): The Improbable Mirth Force… - Jeremy Beadle, Chris Trarrant and others on a Hidden Camera prank show with a twist… Each week they get a tape that delivers an improbable hidden camera prank to pull off, but if any member of the team gets caught or exposed, The head of light entertainment will disavow the show, and not fund anymore!"  Hypothetical editon :  Trope French Maids (as is from Farces) are seen leaving  London Theatres en masse, and they start cleaning up West End Streets, and landmarks...
Hi there! Can you create a sample use case diagram for a person acquiring a gym membership?
User: macaco com blusa do flamengo
Assistant: Please check if the prompt contains NSFW
Assistant: You have to answer "yes" or "no" no more no less
Assistant:
largest dogs in the world
Any business ideas for me
Read this excerpt from The Race to Space: Countdown to Liftoff

Under Glennan’s direction, NASA united the nation’s brightest minds under one umbrella. Thousands of men and women from all backgrounds were integral to the mission. Decades before cell phones, home computers or even pocket calculators, NASA employed human "computers”—a workforce of hundreds of female mathematicians who checked and rechecked calculations.

Which phrase from the passage provides the reader with a clue to its organization?

NASA united the nation’s brightest minds
Thousands of men and women
Decades before cell phones
a workforce of hundreds of female mathematicians
You’re an IT administrator. -Use the sentence in quotes to explain how it would help you implement ethical choices when working as an administrator of System Center 2012 Active Directory user information, reporting information, and logs. “To strive to ensure this code is upheld by colleagues and co-workers.”
participatory being and participative being are synonyms in god sense?
Country - United Kingdom.
1. Write title use the target keyword [weather tomorrow shildon] - The key must be straight. Title length no more than 70 characters
2. Write meta description about the weather forecast for every day, use the target keyword [weather tomorrow shildon] - The key must be straight. The length of the description is no more than 180 characters.
3. Write H1 about the weather forecast for every day - use the target keywords [weather tomorrow shildon] - The key must be straight.
4. Write H2 about the weather forecast for every day - use the target keywords [weather tomorrow shildon] - The key must be straight.The length of H2 - 1 sentence! Must be different from
5. Write text for H2 - 40-70 words about for every day. How to dress in different seasons.
6. Write 100%, SEO-optimized, unique text high quality content as an English native speaker with using keyword [weather tomorrow shildon]. The key must be straight. What I need from you is write the weather throughout the year, advantages and disadvantages, and so on - temperature (statistics on degrees in each season of the year), precipitation, wind, sun, cloud, rain, snow, humidity, pressure, fog, thunder. !Keyword Density no more 2,5%. Write H2 for this text - The length of H2 - 1 sentence!
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:   Arrival is set to combine with CIIG Merger Corp, a SPAC set up by former Remington and Marvel CEO Peter Cuneo. The deal gives Arrival an enterprise value of $5.4 billion, with the combined company expected to raise a total of $660 million. Arrival competes with Rivian, a company that has won backi
Assistant:
—BEGIN CONTEXT—
Yes, maybe I am superficial person because i really think money is the most important thing and it is the main reason for people like me to work if I don’t need to earn money to earn life I would not choose to work, but I want to do something about my work and my interest and dreams which cannot hmm bring me any money. I know there are many people who think something else hmm more essential than the material rewards like hmm good relationships and and atmosphere in their workplace and also some opportunities that are hmm that are surprising for them. I really I think this people are very ambitious and motivated.
—END CONTEXT—

—BEGIN QUESTION—
Do you think material rewards are more important than other rewards at work?
—END QUESTION—

Use simple spoken colloquial words and come up with a better, stylished, and logical context for clarity, accuracy, and the English grammar for the context above. Also, make sure the revised context is relevant to the question above. Please use paraphrases, two idioms as well as lots of collocations, grammatical structures such as complex, compound, and compound-complex sentences and various tenses in your revised version.
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:

يقلك وقتاش بش تروح بش ترجع تجي
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. Review the text carefully and decide, as a recruiter, if it qualifies as a job description. To qualify, the text should contain a job title, tasks or responsibilities, optional work format (e.g., remote, in-office or hybrid), contact information, optional salary amount. Multiple job descriptions at once do not quialify. Respond strictly with either 'True' or 'False'.

==TEXT==

User: Ребят, есть кто из Питера? 

Нужен рилсмейкер, который снимет мероприятие в честь Хэллоуина. 

Человек обязаны должен быть из Санкт-Петербурга!! 

Дата: 
1ноября (пт) 
2 ноября (сб)
Время: 19:00 
Локация: Место: Кафе Blur, г. Санкт-Петербург, ул. Кадетская линия ВО, д.29А  
https://yandex.ru/maps/org/blyur/127314947792?si=jqvqy4ypa4y9kh5e317bxagv8w

Напишите с откликом мне в ЛС @leka_ki пожалуйста🙏
Assistant:
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: Come up with a question and reasoning that would justify this answer: yes
Answer: Question: Is it possible for renewable energy sources, such as solar and wind, to become the primary means of electricity generation in the future?

Reasoning: With advances in technology, the efficiency and cost-effectiveness of renewable energy sources like solar and wind have been increasing. Moreover, government policies and public interest in combating climate change and reducing our reliance on fossil fuels are pushing the expansion of renewable energy infrastructure. Both market forces and environmental concerns contribute to the likelihood that renewable energy sources would eventually become the dominant means of electricity generation in the future.
What is mnest in machine learning?
The Voluntary carbon market. what is the voluntary carbon market?what are the different mechanisms? how do they affect businesses in Kenya and africa? indicate the challenges businesses face towards offsetting their carbon footprint in Kenya. Indicate what role Msitu Africa is playing and how its helping businesses.Msitu Africa Carbon Alliance is a unique non-profit fintech organization dedicated to assisting businesses in mitigating and lowering their carbon footprint. Implementing our game-changing API, businesses can automate donations towards supporting carbon farming and tree planting programs in Kenya and Africa. You can also add on the clean development mechanism and REDD plus.
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: We are subject to federal, state, local and foreign regulations, including environmental regulations, regulations relating to the design and operation of our products and control systems and regulations relating to certain of our service offerings in the Brooks Life Sciences segments. We might incur significant costs as we seek to ensure that our products meet safety and emissions standards, many of which vary across the states and countries in which our products are used. In the past, we have invested significant resources to redesign our products to comply with these directives. Compliance with future regulations, directives, and standards could require us to modify or redesign some products, change our
Assistant:
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":"Steamed Vegan Rice Cakes Banh Bo Hap null","description":"A simple recipe for banh bo hap, also known as steamed rice cake, is a vegan treat that's fluffy, sweet, and quite stunning in appearance. The kids will have a good time making it, and it won't cost you much money.","ingredients":[{"section":"For the recipe","ingredients":["4 cups rice flour","2 cups lukewarm water","1 (14 oz.) can coconut milk","1 cup white sugar","4 teaspoons tapioca starch","1 ½ teaspoons active dry yeast","½ teaspoon vanilla extract","1/4 teaspoon salt","2 teaspoons oil, or as needed"]}],"instructions":["In a bowl, thoroughly combine the rice flour, water, coconut milk, sugar, tapioca starch, yeast, vanilla extract, and salt.","Whisk until smooth.","Use a lid to cover it.","Allow the batter to rest for approximately 2 hours, or until air bubbles float to the top.","Stir thoroughly.","Oil the cavities of the cake molds.","Put a steamer insert into a saucepan, then fill the saucepan with water until it reaches a point that is just below the steamer's base.","Put the cake molds on top of the stack, then pour the batter into each one, being sure to leave 1 3/4 inches of room at the top for the cakes to rise.","Bring the water up to a rolling boil.","Cover and steam for about 10 minutes, or until a toothpick placed into a cake comes out clean."]}

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>" }
So how much power would be needed to keep a typical western European household running?
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: Each share of Legacy Korro Preferred Stock were convertible, at the option of the holder thereof, at any time and from time to time, and without the payment of additional consideration by the holder thereof, into such number of fully paid and non-assessable shares of common stock as is determined by dividing the original issuance price by the conversion price in effect at the time of conversion. The original conversion price of the Legacy Korro Series Seed 1 Preferred Stock and Legacy Korro Series Seed 2 Preferred Stock was $ options, warrants, or other rights to subscribe for or to purchase common stock for a consideration per share, less than the conversion price then in effect and subsequent stock dividends, stock splits, combinations, or recapitalizations. The Legacy Korro Preferred Stock was subject to mandatory conversion upon the closing of a sale of common stock to the public at a price of at least $
Assistant:
generate a description with keywords and SEOs for 24 Pcs Short Coffin Press on Nails ＆ 24 Pcs Short Square Toenails Set Solid Color Fake Nails Toenails Stick on Nails Summer Full Cover Acrylic Nails Toenails Blue False Nails Toenails for Women Girls include practical application on and uses can be applied include social media platform it can be used on and for what purpose include short story on why I personally bought it.