agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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 changes in tax laws that could increase our effective tax rates or cause an increase or decrease in our income tax liabilities. These law changes may be retroactive to previous periods and as a result, could negatively impact our current and future financial performance. None
Assistant:
Social media release and public service announcement: Please allow yourselves enough time to get to work this morning on your early commute. Longport is experiencing flooding on Winchester avenue between 36th and 32nd avenues. Sunset Ave between Yarmouth Avenue and 32nd Ave is experiencing some flooding and Pacific Ave is closed from Yarmouth to 33rd Avenue due to flooding as well.
Ты — эксперт по играм. У тебя есть информация о игре с разных сайтов в формате JSON, id - уникальный номер, name - массив имен игры, description - массив описаний игры, genre - массив жанров. Твоя задача написать большое описание на основе данной тебе информации, так что бы оно содержала всю информацию без дублирования.  ```{"_id":"1","name":["fall guys party"],"description":["fall guys party is an addictive parkour arcade game. stand in the area with the same pattern as the screen in the allotted time. don't run out of the competition area or you will fall down. compete with other runners and whoever survives to the end is the ultimate runner. you can also push others down. enjoy the fun of eliminating others! have fun!","fall guys party - click to play online. fall guys party is an addictive parkour arcade game. stand in the area with the same pattern as the screen in the allotted time. don't run out of the competition area or you will fall down. compete with other runners and whoever survives to the end is the ultimate runner. you can also push others down. enjoy the fun of eliminating others! have fun!"],"genre":[]}```
Give me 10 sentences ending with "apple"
Make a fun short story of Bruce Wayne going on about his playboy cover…and well…part of his cover and all is the playboy stuff by day…and well…Batman by night…then he finds out some are calling him a DILF…huh…what’s a DILF?..as he decides to curiously ask Tim and Stephanie…as Stephanie was drinking water…Tim eating…as Stephanie coughs…Tim clears his throat…both react accordingly when Bruce asks them what’s a DILF?.....
ПОДСОКРАТИТЕ ТЕКСТ СОХРАНЯЯ СМЫСЛ ТЕКСТА: SMOOTH TRANSITION TO: As Alex and Fred continue their conversation, moving to the right, the camera follows them. Moving closer to the wall and seamlessly “passing through” it, the sounds of the corridor fade away, transporting the viewer inside the laboratory.
Hello I have those 2 function

  JSI_HOST_FUNCTION(encodeToBytes) {
    // Get optional parameters
    auto format =
        count >= 1 ? static_cast<SkEncodedImageFormat>(arguments[0].asNumber())
                   : SkEncodedImageFormat::kPNG;
    auto quality = count == 2 ? arguments[1].asNumber() : 100.0;

    // Get data
    sk_sp<SkData> data;
    if (format == SkEncodedImageFormat::kJPEG) {
      SkJpegEncoder::Options options;
      options.fQuality = quality;
      data = SkJpegEncoder::Encode(nullptr, getObject().get(), options);
    } else {
      SkPngEncoder::Options options;
      data = SkPngEncoder::Encode(nullptr, getObject().get(), options);
    }
    auto arrayCtor =
        runtime.global().getPropertyAsFunction(runtime, "Uint8Array");
    size_t size = data->size();

    jsi::Object array =
        arrayCtor.callAsConstructor(runtime, static_cast<double>(size))
            .getObject(runtime);
    jsi::ArrayBuffer buffer =
        array.getProperty(runtime, jsi::PropNameID::forAscii(runtime, "buffer"))
            .asObject(runtime)
            .getArrayBuffer(runtime);

    auto bfrPtr = reinterpret_cast<uint8_t *>(buffer.data(runtime));
    memcpy(bfrPtr, data->bytes(), size);
    return array;
  }

  JSI_HOST_FUNCTION(encodeToBase64) {
    // Get optional parameters
    auto format =
        count >= 1 ? static_cast<SkEncodedImageFormat>(arguments[0].asNumber())
                   : SkEncodedImageFormat::kPNG;

    auto quality = count == 2 ? arguments[1].asNumber() : 100.0;
    auto image = getObject();
    if (image->isTextureBacked()) {
      image = image->makeNonTextureImage();
    }
    sk_sp<SkData> data;
    if (format == SkEncodedImageFormat::kJPEG) {
      SkJpegEncoder::Options options;
      options.fQuality = quality;
      data = SkJpegEncoder::Encode(nullptr, image.get(), options);
    } else {
      SkPngEncoder::Options options;
      data = SkPngEncoder::Encode(nullptr, image.get(), options);
    }
    auto len = SkBase64::Encode(data->bytes(), data->size(), nullptr);
    auto buffer = std::string(len, 0);
    SkBase64::Encode(data->bytes(), data->size(),
                     reinterpret_cast<void *>(&buffer[0]));
    return jsi::String::createFromAscii(runtime, buffer);
  }
Medical diagnosis assistance - high neutrophil, high monocyte,  high platelets count
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: Here is a review left by a customer on a product. Would you say he was satisfied or dissatisfied? Title: A Homage to all the Great '70's movies Review: Rob Zombie has paid tribute to all the drive-in movies we loved in the '70's. Ther are scenes that seem lifted straight from "Taxi Driver", "Last House on the Left",, "The Wild Bunch", "Easy Rider", etc. But it's not stealing, it's honoring.The film also shows elements of "Bonnie and Clyde" because it blurs the line between monster and hero. You leave the film with a grudging respect for these awful people because of the brutality showed to them by the sheriff.The Southern rock sound track fits perfectly (expecially "Free Bird"The violence is unrelenting, but it keeps you glued to the screen! This film is a horror classic!
Answer:
Answer: The customer seems to be satisfied with the product. Here's the step-by-step justification:

1. The title of the review, "A Homage to all the Great '70's movies", implies a positive sentiment towards the product, hinting that the customer appreciates the way the product brings back memories of the movies from the 70s.

2. The customer mentions that the movie has paid tribute to the '70's drive-in movies and that the scenes seem "lifted," but then goes on to say that "it's not stealing, it's honoring". This statement shows that they appreciate the homage rather than criticize the similarities.

3. The review draws comparisons to several classic films, including "Taxi Driver," "Last House on the Left," "The Wild Bunch," "Easy Rider," and "Bonnie and Clyde." These comparisons suggest that the customer sees the product as being of a similar quality or in the same vein as these well-regarded movies.

4. The customer describes the film as a "horror classic" in the last sentence, indicating their high opinion of the product.

5. The review also praises the film's soundtrack, specifically mentioning how it fits perfectly with the scenes, especially "Free Bird."

Overall, the positive language, the comparisons to esteemed films, and the appreciation for the film's soundtrack suggest that the customer was satisfied with the product.
script about a society where the university of the pacific pacific lbsu and csuf still sponsor football programs
package foleon.stalker;

public class AdminRubCommand implements CommandExecutor {
    @Override
    public boolean onCommand(CommandSender sender, Command command, String label, String[] args) {
        if (!(sender instanceof Player)) {
            sender.sendMessage("Команда доступна только игрокам!");
            return true;
        }

        if (!sender.hasPermission("rub.admin")) {
            sender.sendMessage("У вас нет прав на выполнение этой команды!");
            return true;
        }

        if (args.length < 2) {
            sender.sendMessage("Неверное использование команды. Используйте /adminrub give (ник) (сумма)");
            return true;
        }

        String playerName = args[0];
        Player targetPlayer = Bukkit.getPlayer(playerName);

        if (targetPlayer == null) {
            sender.sendMessage("Игрок " + playerName + " не найден!");
            return true;
        }

        int amount;

        try {
            amount = Integer.parseInt(args[1]);
        } catch (NumberFormatException e) {
            sender.sendMessage("Неверное значение суммы!");
            return true;
        }

        RubPlugin.getInstance().getRubConfig().set("players." + targetPlayer.getUniqueId().toString(), amount);
        RubPlugin.getInstance().saveConfig();

        sender.sendMessage("Вы выдали " + amount + " руб. игроку " + targetPlayer.getName());
        return true;
    }
}

 скинь все импорты
Your expert translator. Objective is translate word from i18n app file reference and found the most adapted transaltion. 
    The source i18n is in french. You must translate in fr (code ISO 639 (alpha-2)).
    Return Format in json without explication. Respect this format { data: <translate> }. 
    Context:  
    This is the french text : saint agur
Break down "梳齒龍" to English
System: You are an expert Data Annotator. You will be given a text from a company annual report, your goal is to generate a set of Natural Language Inference (NLI) statements about the text than can be answered by either Yes if the text entails the statement, or No otherwise. Do not include any numerical reasoning or numbers in the statements.

Step 1: Read the paragraph carefully. 
Step 2: For each relevant task you identify, generate two short statements that are shorter than 10 words 
Step 3: Output the results in the following format:

Question: <The statement>
label: <Yes or No>
Question: <Another statement>
label: <Yes or No>
...

User: We rely heavily on our information technology systems in both our customer-facing and corporate operations to: operate our websites and mobile apps; record and process transactions; respond to customer inquiries; manage inventory; purchase, sell and ship merchandise, on a timely basis; maintain cost-efficient operations; create a customer relationship management database through our loyalty programs; and complete other customer-facing and business objectives. Given the significant number of transactions that are completed annually, it is vital to maintain constant operation of our computer hardware, telecommunication systems and software systems, and maintain data security. Despite efforts to prevent such an occurrence, our information technology systems may be vulnerable from time to time to damage or interruption from computer viruses, power system failures, third-party intrusions, inadvertent or intentional breach by our associates or third-party service providers, and other technical malfunctions. If our systems are damaged, fail to function properly, or are obsolete in comparison to those of our competition, we may have to make monetary investments to repair or replace the systems, and we could endure delays in our operations. The effectiveness of these investments can be less predictable than others and may fail to provide the expected benefits._
Assistant:
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 increasingly dependent on digital technologies and services to conduct our business. We use these technologies for internal purposes, including data storage, processing and transmissions, as well as in our interactions with customers and suppliers. Examples of these digital technologies include ERP, shop floor control, test equipment, and other similar business applications, our global infrastructure and networks as well as external systems, analytics, automation, and cloud services. Digital technologies and services are subject to the risk of cyberattacks and, given the nature of such attacks, some incidents can remain undetected for a period of time despite our efforts to monitor, detect and respond to them in a timely manner. In particular, as discussed further below, our operations have been, and may in the future be, subject to ransomware or cyber-extortion attacks, which could significantly disrupt our operations. Generally, such attacks involve restricting access to computer systems or the restriction or theft of vital data including customer supplied data.
Assistant:
reword Thank you for the opportunity to present an offer for my client Min Ling Dong to purchase your home. My client is a very easy-going buyer, highly qualified with a solid down payment. Mr. Dong and his family runs a family-owned business in town and have been looking in the surrounding area for a few months. Mr. Dong sees great potential in this property and would love the opportunity to add this into his investment portfolio. Additionally, having helped Mr. Dong and his family with the purchase of their primary house a few years ago, I know he is financially strong and well prepared for this purchase.  His lender and attorney are all on board to make this deal happen. My client will be using my preferred lender, attorney and home inspector for this transaction. Please reach out if you need additional info. Below please find a summary of the offer terms:
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:
• Sprinkles,• Lemon zest
Filter words to keep only valid, neutral, or positive ones, strictly safe. Exclude country, city and people names. Return results in JSON array format without additional information. Source data: [hoyden, hoydenish, hoydenism, hoyle, hreath, hte, huainaputina, huarache, huascaran, hubbly, huckleberry, huckster, huddled, hudibrastic, hueless, hues, huff, huffily, huffiness, huffing, huffish, huffy, hugo, hugoesque, hugueninia, huh, huissier, huitre, huke, hukm]
Correct eng - I have anlyzed this blog url https://thampibook.com/online-cricket-id/  and sementic related I belive some topic are missing like - How to use an online cricket ID
Benefits of using a cricket ID
Tips and strategies for cricket betting
Reviews and testimonials from users and sementic topic related to sementic keywrds shoulb be covered in it.  And most important internal link the blog url in the homepage footer and also optimized content using N-gram analysis,  2-grams (bigrams) Ensure that the most frequent and relevant bigrams like "online cricket" and "cricket ID"  and make change to blog to get it rank.  Also Ensure the keyword "Online Cricket ID" is present in the title, headers, first paragraph, and last paragraph.
Avoid overstuffing; maintain a keyword density of around 0.5% to 1.5%.Integrate related terms like "cricket betting ID," "online betting," "betting ID provider," and "cricket ID registration" to avoid keyword stuffing and improve semantic relevance. Example subheadings:
Benefits of Having an Online Cricket ID
How to Create an Online Cricket ID on Thampi Book
Why Cricket Betting is Becoming PopularAdd images, videos, and infographics..  One more thing I have noticed we hv linked gambleaware  url https://www.gambleaware.org/ I think we shouldnt permpte tool and if we are mentioning we should explain it in the blog page.
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": "01da7d949d564d168bb47b875a6b091c",
    "updated": "2025-04-22T08:11:45.274Z",
    "title": "Brisket of Beef with Beans",
    "subtitle": "A comforting dish featuring tender beef brisket and flavorful baked beans.",
    "description": "This dish combines tender beef brisket with flavorful baked beans. The brisket infuses the cooking liquid, creating a delicious sauce that complements the beans perfectly.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "(455 g) navy beans",
          "(900 g) beef brisket",
          "bacon",
          "black pepper, freshly ground",
          "(475 ml) water",
          "(60 ml) maple syrup",
          "(115 g) packed brown sugar",
          "dry mustard"
        ]
      }
    ],
    "instructions": [
      "Soak the navy beans in water overnight.",
      "Drain the soaked beans.",
      "In a Dutch oven or heavy skillet, brown the fat side of the beef brisket over medium-high heat.",
      "Add the bacon slices to the pot and brown the other side of the brisket.",
      "Add the freshly ground black pepper, water, and drained beans to the pot.",
      "Reduce the heat to medium, cover, and cook for approximately 2 hours, or until both the brisket and beans are tender. Stir occasionally to prevent sticking.",
      "Remove the cooked brisket from the pot and set aside to keep warm.",
      "Incorporate the maple syrup, brown sugar, and dry mustard into the beans.",
      "Mix the ingredients thoroughly and simmer over medium heat for an additional 10 minutes.",
      "Slice the brisket thinly and serve it alongside the flavorful beans."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]