agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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": "d04525b1dc234783b0b97c7d0e4bf5e8",
    "updated": "2025-04-20T15:05:07.929Z",
    "title": "Homemade Nut Butter",
    "subtitle": null,
    "description": "Making nut butter at home is a cost-effective way to enjoy this delicious spread.  An added benefit is the ability to create your own custom blends (see suggestions below).",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "4 cups roasted nuts or seeds (almonds, walnuts, hazelnuts, peanuts, pistachios, sunflower seeds, or mixture)"
        ]
      }
    ],
    "instructions": [
      "Place the nuts or seeds (or a mixture) into a food processor and process for 3-5 minutes, until a ball forms.",
      "Break the ball into smaller pieces and continue processing for another 3-5 minutes, until the oils are released and the mixture starts to become creamy.",
      "Stop the machine and let it rest for 10 minutes to prevent overheating the motor.",
      "Scrape down the sides of the food processor and process for a final 3-5 minutes, until the nut butter is completely smooth.",
      "Transfer the nut butter to a glass jar or airtight container and store in the refrigerator for up to 1 month.",
      "Stir before each use."
    ],
    "notes_ingredients": "Raw nuts and seeds can be substituted for roasted ones, however, the flavor will be milder.  Raw nuts and seeds also produce a coarser, thicker texture.\nNut Butter Mix Suggestions\nUse a 1:1 ratio for best results\nAlmond + Walnut\nAlmond + Hazelnut\nHazelnut + Peanut\nPeanut + Sunflower seeds\nSunflower seeds + Pumpkin seeds\nWalnut + Raw hulled hemp hearts",
    "notes_instructions": null
  }
]
my pc does the following acustic signal: -- (after some seconds) . .
fivem lua is there a way to slow down an animation but also control how far through the animation is played
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: Goodwill is the excess of the cost of an acquired entity over the amounts assigned to the assets acquired and liabilities assumed in a business combination. Goodwill is not amortized. Goodwill is tested for impairment annually, and is tested for impairment between annual tests if an event occurs or circumstances change that would indicate the carrying amount may be impaired. Impairment testing for goodwill is performed at the reporting unit level, with all goodwill assigned to a reporting unit. During the fourth quarter of 2023, we elected to change the annual goodwill impairment testing date for each of our reporting units from November 30th to November 1st and, accordingly, we have performed our impairment tests for the current fiscal year as of November 1, 2023. The Company does not believe that this change to the annual impairment testing date represents a material change in the method of applying an accounting principle. This voluntary change is preferable because it provides management with sufficient time to complete goodwill impairment tests in advance of the Company’s year-end financial reporting and provides additional time for the execution of key controls and management review over the significant estimates and judgements inherent in the performance of the test. This change to the goodwill impairment testing date has not been applied retrospectively as it is impracticable to do so without applying hindsight when developing key assumptions and
Assistant:
What if fiction and imagination existed outside to be real?
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:

Example:
Question: What is your name?
Answer: My name is John.
Translation:
Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Question: What year was the first HD video conferencing system displayed?
Answer: Polycom introduced its first high definition video conferencing system to the market in 2006.
 A single-select problem: Is the question answered in a satisfactory fashion?


 a). yes.
 b). no.
Answer: a). yes.

The first HD video conferencing system was displayed in 2006 when Polycom introduced its high-definition product to the market. This was a significant milestone in the development of video conferencing technology, as it dramatically improved the quality of video communication and established a new benchmark for future innovations.

Before the advent of high-definition video conferencing systems, standard definition (SD) systems were the norm. These systems typically offered lower resolution and frame rates, which resulted in a less than optimal user experience. Participants often experienced pixelated and blurry images, making it difficult to truly engage with and understand one another. Moreover, this lack of clarity hindered effective communication and collaboration among remote teams.

The introduction of high-definition video conferencing in 2006 revolutionized the way organizations and individuals communicate, as the superior image quality facilitated more effective collaboration. Polycom’s HD system provided users with clear, detailed visuals, along with improved audio quality. Consequently, this greatly enhanced the experience of remote communication. These improvements led to increased adoption of video conferencing by businesses and other organizations worldwide and fueled the growth of the industry.

Following the success of Polycom's pioneering HD system, other companies in the video conferencing industry quickly followed suit. As competition increased, so did the pace of innovation. Over the years, advancements in technology have resulted in video conferencing systems with even higher resolutions, better compression techniques to minimize bandwidth issues, and more sophisticated collaboration tools.

Some noteworthy developments in the field of HD video conferencing since its inception in 2006 include the emergence of cloud-based solutions, mobile video conferencing applications, and the ubiquity of video-enabled devices. These advances have made video conferencing more accessible and affordable to a wider audience, further cementing its place as a vital tool for remote communication and collaboration.

In summary, the first HD video conferencing system was displayed in 2006 by Polycom, marking a pivotal moment that transformed the quality of video communications and laid the foundation for the continuous growth and evolution of the industry.
shorten: my realtionship with my niece before she was legal
// Type some JS code here and press Run...
var a=3
va
var a = 10 
console.log(a)r
console.log(a)
var a = 3
var a = 10 
console.log(a)
i have div inside div span and another div i want span text as vertically center of div
see if there is any error:  class Result {

    public static int getintsum(int largeNumber) {
        largeNumber = Math.abs(largeNumber);
        int sum = 0;

        while (largeNumber > 0) {
            int digitNumbers = largeNumber % 10;
            sum += digitNumbers;
            largeNumber /= 10;}  

        return sum;
    }

    public static void main(String[] args) {
        System.out.println(getintsum
(967532) + “\n” + getintsum(1234567) );}
}
idea Unable to start embedded Tomcat?
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:

Example:
Question: What is your name?
Answer: My name is John.
Translation:
Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Please add spaces between words: PalermoCathedral-pictures,Italy,photosofItaly,Italypictures
Answer: In order to add spaces between the words, I will:

1. Identify the separate words within the given text.
2. Replace any non-alphabetical symbols, such as '-', with spaces.
3. Add a space before the start of each capitalized word (except the first one).

Given text: PalermoCathedral-pictures,Italy,photosofItaly,Italypictures

Step 1: Identify the separate words
- Palermo
- Cathedral
- pictures
- Italy
- photos
- of
- Italy
- Italy
- pictures

Step 2: Replace non-alphabetical symbols
- PalermoCathedral pictures,Italy,photosofItaly,Italypictures

Step 3: Add spaces before capitalized words (except the first one)
- Palermo Cathedral pictures, Italy, photos of Italy, Italy pictures

Final result: Palermo Cathedral pictures, Italy, photos of Italy, Italy pictures
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGIANL text. Respond strictly with either 'True' or 'False'.
==TEXT==

User: 
  ORIGINAL: ⬜️ Node.js Engineer | Middle
▫️ Mantle Network | Blockchain

Удаленка 📡
Требуемые языки: 🇬🇧 🇨🇳

Skills: performance_optimization, mongodb, postgresql, technical_documentation, web3, node_js, system_design
Tags: #grey #it #remote #nodejs

👉 Контакты и полное описание
  PROMPT: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.

Ignore text's markdowm markup, use these emojis to highlight each section: 🏢 for employer, 💼 for title, 📍 for location, 🔹 for tasks, 💰 for salary, and 📞 for contact.

Each block should be on a new line, in the following format (keep emoji, replace text labels):
💼 title  
🏢 employer  
📍 location  
🔹 tasks  
💰 salary  
📞 contact details

Make sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.

==TEXT==

  SUMMARY: 💼 Node.js Engineer
🏢 Mantle Network
📍 Удаленка 📡
🔹 Требуемые языки: 🇬🇧 🇨🇳
💰 - Salary
📞 - Contact Details

I didn't find the salary and contact details in the provided text, please provide that information. Also, I will be using the same language for the response.
  
Assistant:
How much do tickets for Wimbledon tennis tournament cost?
Provide an implementation for the following static method mod that computes the modulo function using "clock arithmetic".
/**
 * Computes {@code a} mod {@code b} as % should have been defined to work.
 * 
 * @param a
 *            the number being reduced
 * @param b
 *            the modulus
 * @return the result of a mod b, which satisfies 0 <= {@code mod} < b
 * @requires b > 0
 * @ensures <pre>
 * 0 <= mod  and  mod < b  and
 * there exists k: integer (a = k * b + mod)
 * </pre>
 */
public static int mod(int a, int b) {...}
Note that, although you can use the remainder operator % in your solution, the following is not a correct implementation.
public static int mod(int a, int b) {
    return a % b;
}
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: Thông tin nào được cung cấp về việc tuyển dụng sinh viên thực tập?
Answer:Thông tin nhận/tuyển dụng sinh viên thực tập từ các đơn vị ký kết hợp tác với trường.
Result only 0 or 1. Don't add anything else:
Assistant:
Q3. Give four circumstances that would cause you to revise a budget:
package launcher.panel.buttonBar 
{
    /**
     * …
     * @author alekskart
     */
    import flash.display.MovieClip;
    import flash.text.Font;
    import flash.text.TextField;
    import flash.text.TextFormat;

    public class quickPanel extends MovieClip 
    {
        public var home:icon_home = new icon_home();
        public var homeButton:MovieClip = new MovieClip();

        
         private static const MyCustomFont:TanksFonts_MyriadProB;
        
        public function quickPanel() 
        {
            
            Font.registerFont(MyCustomFont); 
            homeButton.addChild(home);
            homeButton.buttonMode = true;
            
            addChild(homeButton);
            
            var textField:TextField = new TextField();
            textField.embedFonts = true;
            textField.text = "ЗАZ";
			

            var textFormat:TextFormat = new TextFormat();
            textFormat.font = "MyCustomFont";
            textField.defaultTextFormat = textFormat;

            addChild(textField);
        }
    }
}  MyCustomFont как вынести в одельный класс
modify this formula. let it learn what to do when d6 and d7 from the formula that I will send: =LET(
    jarir, $D$2,
    extra, $D$3,
    branded, $D$4,
    unbranded, $D$5,
    primaryLOB, $C$12,
    primaryTier, $C$13,
    primarySSub, $C$14,
    primaryConfig, $C$15,
    primaryColor, $C$16,

    sumCriteria, LAMBDA(hq,prog,
        SUMIFS(
            lastQ[W1],
            lastQ[[Measure]:[Measure]], $AB$9,
            lastQ[[LOB]:[LOB]], primaryLOB,
            lastQ[[Tier]:[Tier]], primaryTier,
            lastQ[[HQ]:[HQ]], hq,
            lastQ[[Sub]:[Sub]], primarySSub,
            lastQ[[Configuration]:[Configuration]], primaryConfig,
            lastQ[[Color]:[Color]], primaryColor,
            lastQ[[Programm]:[Programm]], prog,
            lastQ[[STM+]:[STM+]], CHOOSE(1 + $D$6 + 2*$D$7, "", $C$6, $C$7)
        )
    ),

    result,
    SUM(
        IF(jarir, sumCriteria("Jarir", "Branded") + IF(unbranded, sumCriteria("Jarir", "Unbranded"), 0), 0),
        IF(extra, sumCriteria("extra", "Branded") + IF(unbranded, sumCriteria("extra", "Unbranded"), 0), 0)
    ),
    result
)
You are making a text predictor language model that takes a "input_size" section of text and predicts "output_size" continuation characters. Given a pytorch tensor of shape [raw_values_amount] that acts as the dataset, create a DataLoader that extracts batch_size randomly selected sections of the dataset.
Context:
You are the next generation of HSBC Private Bankers and Asset Managers. It is 
essential to understand the Wealth Management Industry and Asset Management 
Industry and the key factors shaping the growth of this market and to consider the 
position of HSBC.
Your task:
In teams, you will develop a strategy presentation for considerations by GPB/AM 
managers. Based on your insight you will be required to outline suggested responses 
to the private client environment and competitive forces.
The presentation should recommend ONE main idea for future strategy. Tools you 
can use in your analysis are:
 Market environment and dynamics
 Competitive forces
 SWOT for HSBC GPB/AM
Each group will be expected to present for 15 minutes with a 5 minute Q&A and 
feedback
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 recognize revenue on a subscription basis as our solutions are provided to our customers over time. If our services are disrupted due to natural disasters, infectious disease outbreaks, power outages or other events that we cannot control, we may not be able to continue providing our solutions as expected. For example, during the COVID-19 pandemic, our employees, including our IRC reviewers, are being required to work remotely, which may negatively impact productivity of our employees and effectiveness of our solutions. When we stop providing coverage, we also stop recognizing revenues as a result of the affected subscription agreement. If we are forced to discontinue our services due to natural disasters, power outages and other events outside of our control, our revenues may decline, which would negatively impact our results of operations and financial condition. In addition, we may face liability for damages caused by our sensors in the event of heavy
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:

بقسمه قله أذاك يجي
what is delta function
Explain p-hacking pentaquark rumors and whether they are well grounded
これは “prompt for stable diffusion”：
”prompt”:”(front focus),(in the dark:1.6), Hyperrealist portrait of female by david hockney and alphonse mucha,fantasy art, photo realistic, dynamic lighting, artstation, poster, volumetric lighting, very detailed faces, 4 k, award winning,, 1girl, in the dark, deep shadow, low key,cowboy shot,(official clothing:1.4) ,long hair,white hair,

”,
”Negative prompt”:”ng_deepnegative_v1_75t, badhandv4 (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale))
”
上記のprompt”を真似して下記のことを実行してください。
日本で流行ることができる恋愛漫画のテーマと全体登場人物(名前)と内容とprompt(English)を考え、30章を分け、theme(日本語)と略せずに同じprompt背景でこのjson形で全30章を作ってください
{
"title": "",
"katakanaoftitle": "",
"englishtitle": "",
"7ofdescriptionkeyword": [“”],
”category”:””,
"kdpofintroduction": “”,
“Resume”:””,
"prompt": "",
"chapters": [
{
"chapterNumber": 1,
"theme": "",
"chapterContent": "",
”Dialogue”:[],
"prompt": ""
}
]
}
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: Chương trình đào tạo sau đại học bao gồm những cấp độ nào?
Answer:Chương trình đào tạo sau đại học bao gồm các cấp độ Thạc sĩ và Tiến sĩ, nhằm nâng cao trình độ chuyên môn và nghiên cứu của học viên.
Result only 0 or 1. Don't add anything else:
Assistant:
صحح "Valentine's Birds SVG free - A Couple of Love Birds SVG"
write message in spanish to prospect as would like to arrange video call to discuss partnership oppurtunities
Freedom Planet Girls react to before 3 Yaers Freedom Planet Girls (Lilac, Carol and Milla): Aw cutie,look how small you are!. After 3 Yaers. Naruto: Aw, cutie,look how small Girls are. all Girls blushed Naruto (handsome, charming and Power). before and After.