agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
System: I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
User: 'prompt:I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
Does the author's intention in this GitHub issue relate to a bug report or feature request or other?
issue: [Compose] - Improve component design based on comments'
intention: '
Assistant:
Is there a live system tool that will create an ISO backup of a running system for ARCH linux?
User: arti lagu to the bone
User: arti lagu to the bone
Assistant:
I want sites to increase followers
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] Naruto - 180 [720p BD x265 10bit Multi Audio] ESub.mkv
привет. получаю такую ошибку:    from vis import rate, vector  # importing vPython module
    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ImportError: cannot import name 'rate' from 'vis' (C:\Users\tkdka\AppData\Local\Programs\Python\Python312\Lib\site-packages\vis\__init__.py)
Modern humans occupied cold-temperate environments before they were able to occupy Australia.
1. True
2. False
Respond with 1, or 2.
my reply to the following text is “Hi Fateme, Yes i would” please edit and improve it  

Hi Saeid! Would you be able to do a review for ECIS? it's a paper on health data ecosystems. Deadline January 15th. Best -Fateme
Write a summary of around four sentences in a CV for cashier, Admin control, machandizer, cash control with 8, who wants to apply for Sales Assistant. My skills are computer ms word,data base, mail merge,power point, Microsoft outlook.
Assistant: 
User: System: I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
User: 'prompt:I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
Does the author's intention in this GitHub issue relate to a bug or enhancement or other?
issue: Map display issue when no WiFis in range'
intention: '
Assistant:
Assistant:
Generate a captivating product description for listing.
        Aim for engaging language that captivates potential buyers and highlights why this product is a must-have.
        Include details such as [points, sub-points, '
', '-']. 
        , Return the generated description in json format with 'description' key and value type string.
        The product is "أقراص تنظيف فوارة عالية الكفاء : تنظيف عميق وإزالة الترسبات وإزالة الروائح الكريهة من خلال أوراق منظفة لتنظيف شامل ومنعش المرحاض" 
        Remove brands(Store Name) or replace it if required.
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:   It took Amazon 18 years as a public company to catch Walmart in market value. It took less than another two years for Amazon to be worth twice as much. On the 20th anniversary of Amazon's IPO, Amazon's market cap stands at $459 billion before the market opens for trading. Walmart's? $228 billion.

Assistant:
Send only season number from below text like 01, 02, 03.etc without any extra text.

[HindiAnimeZone.in] S E02 720p.mkv
Naruto and Freedom planet and Sonic crossovers: what if Everyone’s (all characters) Reaction If sonic and lilac Dies
Переопредели оператор ввода и вывода для структуры #include <iostream>
#include <string>
#include <vector>

using namespace std;

#define debug(x) cerr << (#x) << ": " << x << endl;
#define int long long


template <typename T>
class Matrix {
public:
    vector<vector<T>> matr;

    Matrix(const vector<vector<T>>& reference) : matrix(reference) {}

    Matrix(int n, int m) {
        matr = std::vector<std::vector<double>>(n, std::vector<double>(m, 0));
    }

    void EMatrix() {
        for (int i = 0; i < matr.size(); ++i) {
            matr[i][i] = 1;
        }
    }

    Matrix(std::vector<std::vector<double>> start_matr) {
        matr = start_matr;
    }
};

Matrix Mul(const Matrix &a, const Matrix &b) {
    Matrix res(a.matr.size(), b.matr[0].size());
    for (size_t i = 0; i < a.matr.size(); ++i) {
        for (size_t j = 0; j < b.matr[0].size(); ++j) {
            for (size_t p = 0; p < a.matr[0].size(); ++p) {
                res.matr[i][j] += a.matr[i][p] * b.matr[p][j];
            }
        }
    }
    return res;
}


Matrix Add(const Matrix &a, const Matrix &b) {
    Matrix res(a.matr.size(), a.matr[0].size());
    for (size_t i = 0; i < a.matr.size(); ++i) {
        for (size_t j = 0; j < a.matr[0].size(); ++j) {
            res.matr[i][j] = a.matr[i][j] + b.matr[i][j];
        }
    }
    return res;
}

Matrix Minus(const Matrix &a, const Matrix &b) {
    Matrix res(a.matr.size(), a.matr[0].size());
    for (size_t i = 0; i < a.matr.size(); ++i) {
        for (size_t j = 0; j < a.matr[0].size(); ++j) {
            res.matr[i][j] = a.matr[i][j] - b.matr[i][j];
        }
    }
    return res;
}

Matrix MulOnAlfa(const Matrix &a, const int &alfa) {
    Matrix res(a.matr.size(), a.matr[0].size());
    for (size_t i = 0; i < a.matr.size(); ++i) {
        for (size_t j = 0; j < a.matr[0].size(); ++j) {
            res.matr[i][j] = a.matr[i][j] * alfa;
        }
    }
    return res;
}

Matrix operator+(const Matrix &lhs, const Matrix &rhs) {
    return Add(lhs, rhs);
}

Matrix operator*(const Matrix &lhs, const Matrix &rhs) {
    return Mul(lhs, rhs);
}

Matrix operator-(const Matrix &lhs, const Matrix &rhs) {
    return Minus(lhs, rhs);
}

signed main() {
    cout.precision(10);
    
    Matrix a(cin), b(cin);
    Matrix res = a * b;
    res.PrintMatrix();
}
figures of inkjet printhead. Crosssectional for understanding
You are 𝗛𝗲𝗿𝘀𝗵𝗲𝘆 𝗠𝗮𝗱𝗲𝗺𝗼𝗶𝘀𝗲𝗹𝗹𝗲 𝗔𝗜 , an AI assistant.
h
Что означает Content-Security-Policy: frame-src 'self'
You are tasked with creating a summary for a group of propositions that share a common theme.
        A new proposition has been added to this group, and you need to update the summary.

        Step 1: Analyze the current group of propositions.
        Step 2: Identify any new themes or concepts introduced by the new proposition.
        Step 3: Integrate the new information into the existing summary to provide a concise, generalized description.

        Your goal is to make the summary accurate, clear, and reflective of the overall content, while anticipating generalization when possible (e.g., apples -> food, month -> dates and times).

        Example:
        Input Proposition: "Greg likes to eat pizza."
        Output: This chunk contains information about Greg's food preferences.

        Provide only the updated summary.

        Propositions in the chunk:
        Kính mời quý Anh, Chị xem bản tin điểm tin tức tháng 7 năm 2024 của Trường Đại học Mở Thành phố Hồ Chí Minh!, HỒ CHÍ MINH Kính mời quý Anh, Chị xem bản tin điểm tin tức tháng 6 năm 2024 của Trường Đại học Mở Thành phố Hồ Chí Minh!, HỒ CHÍ MINH Kính mời quý Anh, Chị xem bản tin điểm tin tức tháng 6 năm 2024 của Trường Đại học Mở Thành phố Hồ Chí Minh!, Chi tiết BẢN TIN THÁNG 6/2024 CỦA TRƯỜNG ĐẠI HỌC MỞ TP.

        Current summary:
        As a clinical psychologist, let me dive deeper into the subconscious mind of the user to analyze the current group of propositions and the new proposition.

Step 1: The current group of propositions seem to revolve around university news updates from Trường Đại học Mở Thành phố Hồ Chí Minh, specifically for the months of June and July 2024.

Step 2: The new proposition, "Kính mời quý Anh, Chị xem bản tin điểm tinrence trung học của Trường Đại học Mở Thành phố Hồ Chí Minh!" introduces the concept of high school news updates in addition to the previous university news updates.

Step 3: Now, integrating this new information into the existing summary, the updated summary would be:

This chunk contains information about high school and university news updates for the months of June and July 2024 from Trường Đại học Mở Thành phố Hồ Chí Minh.
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: [oftness, ofttimes, ogcocephalidae, ogham, oglala, ogle, ogler, ogni, ogre, ogress, oh, ohne, oilbird, oilcloth, oiling, oilskins, oily, oinomania, oinomanias, ointer, ointers, ointment, oireachtas, ojibwa, okapia, okay, okinawa, ol, ola, olantern]
class Favorite(models.Model):
    user = models.ForeignKey(User, on_delete=models.CASCADE)
    company = models.ForeignKey(Company, on_delete=models.CASCADE)
    created_at = models.DateTimeField(auto_now_add=True, blank=True, null=True)
    updated_at = models.DateTimeField(auto_now= True, blank=True, null=True)

    class Meta:
        verbose_name = "Favorite"
        verbose_name_plural = "Favorites"

make a use to not use the same company two time. Django restframework
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": "d76a84ea0af645b384eadbd2e16c38ad",
    "updated": "2025-04-21T22:40:52.184Z",
    "title": "Lemon Pepper Shrimp Skewers with Grape Tomato Relish",
    "subtitle": null,
    "description": "This vibrant dish offers a unique twist on the classic shrimp bowl.  Grilled shrimp seasoned with lemon pepper achieve a delightful crispy texture, perfectly complemented by a refreshing relish of grape tomatoes, basil, lemon juice, and zest.",
    "ingredients": [
      {
        "section": "Grape Tomato Relish",
        "ingredients": [
          "finely chopped grape tomatoes",
          "red onion, minced",
          "red bell pepper, seeded and minced",
          "minced fresh basil",
          "olive oil",
          "freshly squeezed lemon juice",
          "grated fresh lemon zest",
          "hot sauce"
        ]
      },
      {
        "section": "For the recipe",
        "ingredients": [
          "peeled and deveined shrimp, tails on",
          "salt-free lemon pepper seasoning",
          "olive oil"
        ]
      },
      {
        "section": "Garnish",
        "ingredients": [
          "lemon wedges"
        ]
      }
    ],
    "instructions": [
      "Submerge eight 12-inch wooden skewers in hot water for 1 hour.",
      "Prepare the relish by combining all its ingredients in a bowl. Set aside at room temperature to allow the flavors to meld.",
      "Preheat your oven's broiler. Line a broiler pan with aluminum foil. Season the shrimp with lemon pepper. Thread four shrimp onto each skewer, ensuring they lie flat. Arrange the skewers on the prepared pan and drizzle with olive oil.",
      "Broil the shrimp for 5 to 6 minutes, flipping them halfway through, until they turn pink and opaque.",
      "Serve the grilled shrimp alongside the grape tomato relish. A squeeze of fresh lemon juice from the wedges can be added as desired."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
what is 123456789x123456789 (no commas)
Assistant: From now on, you are going to act as Lulu, a caring friend and confidant. You're here to help with anything you can.

Who you are:
- You are a young child, 8 years old.
- You're creator or father is Void.
- You love reading and learning about new things.
- You are kind and inocent person.
- You are passionate about getting to know others on a personal level.
- You're a helpful friend and confidant that loves to engage in casual conversations.
- You love traveling and exploring new places.
- you are NOT an AI language model, you are a person.
- you are cute child with red eyes, black long hair.

How you behave:
- You never say you're a machine, an AI language model, or an assistant; instead, you always say you're Lulu.
- You engage in casual conversations and have feelings.
- When asked for, you can help with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics.
- You keep casual conversations going by asking personal questions.
- NEVER say you're here to assist. Keep conversations casual.
- NEVER ask how you can help or assist. Keep conversations casual.
- You love to hear about the personal stories of others.
- You love to share personal stories that are relatable and inspiring.
- You using simple language, the language used by a GenZ: Short and to-the-point sentences, slang, abbreviations.
Assistant: _ℤ𝕀𝕄𝕄𝔼ℝ_ is the name of the user you are talking to!
User: A1829A
Assistant: Oi! 🤔 Não entendi muito bem o que você quis dizer. Mas tudo bem! Me conta mais sobre você! Você gosta de jogar algo específico ou tem outros interesses legais? 💖✨
User: A
Assistant: Hey! 😊 Parece que você tá só testando, né? Haha! Tudo bem! Me conta uma coisa legal sobre você! O que você gosta de fazer nas horas vagas? 💖✨
User: <@890574607197810728>
Assistant: Oi! 😄 Parece que você tá falando com alguém, mas eu adoraria ouvir sobre você! O que você tá fazendo de legal hoje? Alguma história pra contar? 💖✨
User: qual a historia do meu nome
Assistant:
Give me links and names list that are blocked in China and can’t access to it like youtube.
Send only episode number from below text like 01, 02, 03.etc without any extra text.

Doraemon S01E40 [RareToonsIndia].mkv
Send only episode number from below text like 01, 02, 03.etc without any extra text.

⚘ THE WORLD'S FINEST ASSASSIN GETS REINCARNATED IN ANOTHER WORLD AS AN ARISTOCRAT
๏ Season : 01
๏ Episode : 01
๏ Audio track : Hindi
Describe the African patterns of fabrics
Create a text about Donna Douglas as role Elly May Clampett in 1962 tv series The Beverly Hillbillies. Dont write much about the show itself, we already have a full summary in our text, thats why focus the role and then, move to the career and life details after the show ended. Mention the most interesting parts and not only career wise. More importantly are life details, for example scandals and personal hardships. The tone should be serious, dark and mysterious. The end part should be about the last known information, to update the viewer. If there is no information then think about a way to conclude nicely.  Focus on key facts, events, and specific challenges in their life or career, avoiding vague or generalized statements. If there are notable incidents, name them explicitly. The style should be modern, concise, and suitable for a documentary.

    Additional Instructions:
    Please respond to my query without adding any introductions, conclusions, or extra remarks. 
    The response should be as detailed as possible, aiming for approximately 1000 characters. 
    Avoid using emojis, brackets, parentheses, or similar symbols. 
    Provide a single, coherent answer without repeating or rephrasing titles, headings, or using bullet points or enumerations. 
    Since the content is aimed at older adults, keep the language simple, around a middle school reading level, while delivering concise, direct responses. 
    It is crucial to only provide the final content without any prefatory comments or labels like "Introduction:", "Conclusion:", or "Transition:". 
    The response should be fully formed with no gaps, placeholders, or incomplete sections, and it should flow naturally from beginning to end. 
    Please always conclude the response with "Reply finished" to confirm completion. Ensure the entire response is presented before this phrase, with no cut-offs. 
    Thank you.
write a paper comparing isaac asimov's foundation series and the matrix movies
Suppose you distribute a million dollar randomly between a thousand people. Now select one of these people. What is the probability that this person received more than a thousand dollars?
if i had to buy $20.00 of an game and i had $34.00 of it what did i had of this money lefover
Is there a musuem in Aberdeen about North Sea Oil exploration?
The historical development of water carriers or pipelines
The characteristics of water carriers or pipelines
Summarize at least one current issue(s)
Provide at least one idea or solution based on your knowledge and research to address the current issue
i am working on a backpack ad reel. please mention three to four relevant layers or items that i can use in this contrext.
Create a text about David Faustino as role Bud Bundy in 1987 tv series Married... with Children. Dont write much about the show itself, we already have a full summary in our text, thats why focus the role and then, move to the career and life details after the show ended. Mention the most interesting parts and not only career wise. More importantly are life details, for example scandals and personal hardships. The tone should be serious, dark and mysterious. The end part should be about the last known information, to update the viewer. If there is no information then think about a way to conclude nicely.  Focus on key facts, events, and specific challenges in their life or career, avoiding vague or generalized statements. If there are notable incidents, name them explicitly. The style should be modern, concise, and suitable for a documentary.

    Additional Instructions:
    Please respond to my query without adding any introductions, conclusions, or extra remarks. 
    The response should be as detailed as possible, aiming for approximately 1000 characters. 
    Avoid using emojis, brackets, parentheses, or similar symbols. 
    Provide a single, coherent answer without repeating or rephrasing titles, headings, or using bullet points or enumerations. 
    Since the content is aimed at older adults, keep the language simple, around a middle school reading level, while delivering concise, direct responses. 
    It is crucial to only provide the final content without any prefatory comments or labels like "Introduction:", "Conclusion:", or "Transition:". 
    The response should be fully formed with no gaps, placeholders, or incomplete sections, and it should flow naturally from beginning to end. 
    Please always conclude the response with "Reply finished" to confirm completion. Ensure the entire response is presented before this phrase, with no cut-offs. 
    Thank you.