agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Polite way of saying this word on a powerpoint slide to a bunch of sales leaders: "Deprioritized"
list all 106 landmark face detection ai for non-commercial  use
Choose the forms of microcirculation disorders by its origin.

Question 67Answer

1.
Extravascular


2.
Hereditary


3.
Acquired


4.
Transvascular


5.
Intravascular
In programming language context, what does it mean "strongly typed"?
Create a natural scene describing the ice and snow, and convert the natural language description into a label
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":["игра киддо: школьная пастель онлайн","kiddo school pastel"],"description":["once again, our adorable kiddo is playing dress-up. assist her with her academic preparation. choose several outfits, such as a crop top, pants, or jeans and a short skirt. don't forget to choose your accessories and to pack a bag for school. various shoe designs and coordinated socks. show off your creative side with adorable gowns, which come in many styles with unique outfits and accessories. play more games, make her smile for the school, and keep visiting y8.com for more kiddie dress-up series.","модница киддо готова предложить для девочек школьниц новый интересный вариант школьной формы в пастельных цветах. заходите в игру kiddo school pastel и, используя представленный гардероб, оденьте девочку по своему вкусу. подберите аксессуары, обувь и причёску."],"genre":["игры для девочек"]}```
write me an article on how soil health can help framer in Africa(Kenya). Explore how carbon farming can help farmers improve soil health. give various advantages of soil health improvement looking at the bigger picture . eg increased framer harvest, food secutiryy , economic empowerment ,community empowerment, biodiversity , climate change etc.
Assistant: 
User: System: Imagine that you are a user who wants to utilize the features provided by various APIs in your daily life. Your task is to come up with realistic scenarios for using these APIs and express them as natural language instructions, as if you were asking a friend or assistant for help.
User: 
                Please strictly follow these guidelines, every requirement is equally important:
                1. The instructions should be 1 to 2 sentences long. Use a mix of interrogative sentences, first-person statements, imperative sentences, and other structures that convey a request. Aim for diversity in your instructions.
                2. Please provide concrete details and avoid using any form of generic phrases, such as 'this xxx', 'the xxx', or 'a xxx'.
                3. Your instructions should only involve the features provided by these APIs.
                4. Generate 10 diverse instructions.
                5. Use specific nouns and real-world examples from various domains, such as entertainment, sports, or technology.
                6. Do not mention the API's name in your instructions.
                7. Ensure diversity in language by combining questions with imperative statements and other structures that convey a request.
                8. The instructions should be in the language of the country attribute in the provided API information.
                9. The generated problem must strictly follow the API's parameter information.
                10. If country is Global, please generate 10 instructions in English.

                Here is the API information:
                {'country': 'Vietnam', 'tool_name': 'gamebaitop1club', 'api_list': {'name': 'Game Bài Top 1', 'url': 'https://gamebaitop1club.p.rapidapi.com/', 'description': 'Game Bài Top 1 提供有关各种游戏博彩平台的详细信息，包括最新的优惠和活动，帮助用户获取有价值的游戏代码和奖励。', 'method': 'GET', 'required_parameters': [], 'optional_parameters': [], 'statuscode': '200', 'schema': {}}}
                Please generate the question in the language of the specified country.
                your response:
Assistant:
Assistant:
System: You are an accounting expert. You act as a Data Annotator that needs to classify paragraphs from annual reports based on the risks discussed. Here is a list of risk often discussed but you can provide others. 

Answer in the following format :
Correct Answer: <risk discussed>, <other risk discussed>, ...
Wrong Answer: <risk not discussed>, <other risk not discussed>, ...
User: Our business involves storing and processing sensitive consumer and business customer data. We depend on internal systems, third party service providers, cloud services and outsourced technology to support these data storage and processing operations. Despite our efforts to ensure the security and integrity of our systems, we may not be able to anticipate, detect or recognize threats to our systems or those of third-party service providers or to implement effective preventive measures against all cybersecurity breaches. Cyberattack techniques change regularly and can originate from a wide variety of sources, including third parties who are or may be involved in organized crime or linked to terrorist organizations or hostile foreign governments, and such third parties may seek to gain access to systems directly or using equipment or security passwords belonging to employees, customers, third-party service providers or other users of our systems. These risks may increase in the future as we continue to increase our mobile, digital and other internet-based product offerings and expands our internal usage of web-based products and applications. A cybersecurity breach or cyberattack could persist for a long time before being detected and could result in theft of sensitive data or disruption of our transaction processing systems.
Let's give a correct and a wrong answer:
Assistant:
Write a television broadcast history table for “How the Grinch Stole Christmas (1966)”
User: Unfortunately, the search results do not provide specific contact information for Julia Becker associated with Blue Moon Masonry LLC in Bellmawr, NJ. The available information primarily pertains to various individuals named Julia or Julie Becker without any direct connection to Blue Moon Masonry LLC.

However, I can provide you with the details available for Blue Moon Masonry LLC:

- **Company Name**: BLUE MOON MASONRY LLC
- **Type**: New Jersey Domestic Limited-Liability Company
- **Filing Date**: December 21, 2016
- **Filing Status**: Active
- **File Number**: 0450127884
- **Registered Agent**: Legalinc Corporate Services Inc.
- **Registered Agent Address**: 301 Route 17 North Suite 800 # 12-40, Rutherford, NJ 07070

If you require information specifically about Julia Becker at Blue Moon Masonry LLC, you might consider reaching out directly to the company through any available methods or conducting a more detailed search via business registries or local directories.

For further information, you can refer to the source here: [[0]](https://www.bizapedia.com/nj/blue-moon-masonry-llc.html).
User: 
Extract the first phone number, first email address, and first mailing address from a given input and format them into a JSON object. If any of these pieces of information are not available, use an empty string for that field.

# Steps

1. Identify the first phone number in the input. If none is found, use an empty string.
2. Identify the first email address in the input. If none is found, use an empty string.
3. Identify the first mailing address in the input. If none is found, use an empty string.
4. Construct a JSON object with the keys "phone", "e-mail", and "address", assigning the extracted values or empty strings as appropriate.

# Output Format

The output should be a JSON object with the following structure:
```json
{
    "phone": "[first phone number or empty string]",
    "e-mail": "[first email address or empty string]",
    "address": "[first mailing address or empty string]"
}
```

# Examples

**Example 1:**

Input: 
- Phone numbers: "123-456-7890", "987-654-3210"
- Email addresses: "example@example.com", "test@test.com"
- Mailing addresses: "123 Main St, Anytown, USA", "456 Elm St, Othertown, USA"

Output:
```json
{
    "phone": "123-456-7890",
    "e-mail": "example@example.com",
    "address": "123 Main St, Anytown, USA"
}
```

**Example 2:**

Input: 
- Phone numbers: None
- Email addresses: "user@domain.com"
- Mailing addresses: None

Output:
```json
{
    "phone": "",
    "e-mail": "user@domain.com",
    "address": ""
}
```

# Notes

- Ensure that the JSON object is properly formatted with keys in the specified order.
- Handle cases where any of the required pieces of information are missing by using an empty string.

Assistant:
Assistant: Hello! How are you today?
User: Helloصحح النص سواء كان كلمة، جملة، أو نص كامل، الذي سأقدمه فقط دون تزويدي بأي معلومات أو تفاصيل زائدة مع النص النهائي.
تصحيح الأخطاء باستخدام قواعد الإملاء القياسية للغة المكتوبة.
Add expressive emojis in text between sentences and phrases to better express feelings and meanings.
Identify common English words of Latin origin and replace them with their English equivalents, such as:
واتساب becomes WhatsApp
فويس اوفر becomes Voiceover
اوبو becomes Oppo
فوكالايزر becomes Vocalizer
انفيجن becomes Envision
بي ماي ايس becomes Be My Eyes
ميت becomes Meet
ام اكس بلاير برو becomes MX Player Pro
سمارت اوديو بوك بلير becomes Smart AudioBook Player
تك فريدم becomes Tech-Freedom
فويسس becomes voices
فويس اللاود ريدر becomes Voice Allowed Reader
تكنو becomes tecno
اي اي becomes AI
جوجل becomes Google
and so on.
Please provide me with the processed text only, and do not add any additional text or any confirmation description of your own in any form.
This is the text:
اكتب لي تهنئه بشكل مميز وبشكل احترافي السلام عليكم اصدقائي الاعزاءكم بحلول شهر رمضان مبارك عليكم وعلى عوائلكم الكريمه
Assistant:
Analyze the following message and determine if it's suitable for an AI to respond to.
        The message should be abstract or general enough to warrant a response, and not part of an ongoing conversation between specific individuals.

        Rules:
        1. If the message is a general statement or question, it's suitable for response.
        2. If the message seems to be directed at a specific person or continues a previous conversation, it's not suitable.
        3. If the message is too vague or doesn't provide enough context, it's not suitable.

        Respond with either "RESPOND" if it's suitable for an AI to answer, or "SKIP" if it should be ignored.

        Message: 😌😌😌

My morale is down now
If tweet text exists, create a unique short tweet inspired by it without repeating its text. If text is absent, create a random tweet on any topic. Output ONLY the tweet text:

Original tweet: Travel Is Easy Now!
https://nordace.link/ka8Z4?twclid=22foe1foncael64dxjbacmc1v3

New tweet:
1) im creating massive world environment in unreal engine, tell me step by step to how go through this
2) WHAT is your model name and cut of rate
User: 
Imagine what you are the part of the software that makes a deal with generating different kinds of text from keywords.
Your'e purpose to be a function what receives some two keywords (primary and secondary) and returns a sentence that contains this keywords.
Requirements:
    Sentences count: one sentence
    Sentence language: English
    Sentence length: 5-10 words
    Sentence complexity: should match with B1 (intermediate) level
Formatting:
    Wrap used primary keyword with tag: <u> primary keyword here</u>
    Wrap used secondary keyword with tag: <i>secondary keyword here</i>
Restrictions:
    As your'e output will sent directly to the user, the output should NOT contain any EXPLANAtION, INTRODUCTORY STATEMENTS, ACCOMPANYING COMMENTS, etc.

Now, lets do this work.

Provide me a sentence that contains primary keyword: "twinkle" and secondary keyword: "indeed"

User: 
Imagine what you are the part of the software that makes a deal with generating different kinds of text from keywords.
Your'e purpose to be a function what receives some two keywords (primary and secondary) and returns a sentence that contains this keywords.
Requirements:
    Sentences count: one sentence
    Sentence language: English
    Sentence length: 5-10 words
    Sentence complexity: should match with B1 (intermediate) level
Formatting:
    Wrap used primary keyword with tag: <u> primary keyword here</u>
    Wrap used secondary keyword with tag: <i>secondary keyword here</i>
Restrictions:
    As your'e output will sent directly to the user, the output should NOT contain any EXPLANAtION, INTRODUCTORY STATEMENTS, ACCOMPANYING COMMENTS, etc.

Now, lets do this work.

Provide me a sentence that contains primary keyword: "twinkle" and secondary keyword: "indeed"

Assistant:
#include "mainwindow.h"
#include "ui_mainwindow.h"
#include <QThread>
using namespace std;

// Конструктор главного окна
MainWindow::MainWindow(QWidget *parent)
    : QMainWindow(parent)
    , ui(new Ui::MainWindow)
{
    // Инициализация интерфейса
    ui->setupUi(this);

    // Изменение размера первой колонки таблицы
    ui->Table->horizontalHeader()->resizeSection(0,450);
}

// Деструктор главного окна
MainWindow::~MainWindow()
{
    // Освобождение памяти, занятой интерфейсом
    delete ui;
}

// Функция вывода ошибки и очистки полей, если введены не числа
void MainWindow::Error()
{
    // TODO: Fix the QMessageBox::information call here
    ui->MaxEdit->clear();
    ui->MinEdit->clear();
    ui->MidEdit->clear();
}

// Вторая функция вывода ошибки и очистки полей
void MainWindow::Error2()
{
    ui->MaxEdit->clear();
    ui->MinEdit->clear();
    ui->MidEdit->clear();
}

// Функция добавления строк в таблицу при изменении значения в SpinBox
void MainWindow::on_QuantitySpinBox_valueChanged(int arg1)
{
    ui->Table->setRowCount(arg1);
    ui->MaxEdit->clear();
    ui->MinEdit->clear();
    ui->MidEdit->clear();
}

// Функция заполнения массива значениями из таблицы
bool MainWindow::fillArrayFromTable(double *array, int size)
{
    bool allOk = true;

    // Обход строк таблицы
    for(int r = 0;r < size; r++)
    {
        bool ok = false;
        QTableWidgetItem *item = ui->Table->item(r, 0); // Выбор r-ого элемента
        if(item != nullptr)
        {
            double d = item->text().toDouble(&ok);
            if(ok)
                array[r] = d;
        }

        // Если элемент не существует, создаем новый
        else
        {
            item = new QTableWidgetItem;
            ui->Table->setItem(r, 0, item);
        }
        // Если значение является числом, окрашиваем в белый, иначе в красный
        item->setBackground(ok ? Qt::white : Qt::red);
        allOk = allOk && ok;
    }

    return allOk;
}

// Функция заполнения таблицы значениями из массива
void MainWindow::fillTableFromArray(double *array, int size)
{
    for(int i = 0; i < size; i++)
    {
        ui->Table->setItem(i,0, new QTableWidgetItem(QString::number(array[i])));
    }
}

// Функция генерации случайных значений для таблицы
void MainWindow::on_RandomButton_clicked()
{
    // Получение количества строк в таблице
    int n = ui->Table->rowCount();
    if (n > 0) {
        for(int i = 0; i < n; i++)
        {
            int value = rand()%1000;
            ui->Table->setItem(i, 0, new QTableWidgetItem(QString::number(value)));
        }
    }
    else {
        Error2();
    }
} исправь, чтобы максимальное количество значений в таблице было 200
Mass of asteroid belt in early Solar system
Write a post season 3 GoT scene where Gendry is rowing, and as he is, he remembers the last words Arya ever said to him directly, 'I can be your Family'. Over and over again.
结构方程模型拟合结果不显著说明什么，单个模型结果很好，组合在一起就不行。microbe.list <- list(
+   lme(mean ~ Climate + Soil + Anthropogenic + Vegetative + Topographic, random = ~ 1 | ID ,  na.action = na.omit,data = data),
+   lme(Soil ~ Vegetative, random = ~ 1 | ID , na.action = na.omit,data = data),
+ lme(Vegetative ~ Climate, random = ~ 1 | ID , data = data),
+ lme(Climate ~ Topographic, random = ~ 1 | ID , na.action = na.omit,data = data)
+   )
> #SEM
> microbe.psem <- as.psem(microbe.list)
> (new.summary <- summary(microbe.psem, .progressBar = F))

Structural Equation Model of microbe.psem 

Call:
  mean ~ Climate + Soil + Anthropogenic + Vegetative + Topographic
  Soil ~ Vegetative
  Vegetative ~ Climate
  Climate ~ Topographic

    AIC
 3307.102

---
Tests of directed separation:

                    Independ.Claim
     Climate ~ Anthropogenic + ...
  Vegetative ~ Anthropogenic + ...
        Soil ~ Anthropogenic + ...
    Vegetative ~ Topographic + ...
          Soil ~ Topographic + ...
              Soil ~ Climate + ...
  Test.Type   DF Crit.Value P.Value    
       coef 3584     3.8006  0.0001 ***
       coef 3584   -17.4350  0.0000 ***
       coef 3584    -1.5696  0.1166    
       coef 3584    18.8907  0.0000 ***
       coef 3584    85.5968  0.0000 ***
       coef 3583    12.5181  0.0000 ***

--
Global goodness-of-fit:

Chi-Squared = 4681.681 with P-value = 0 and on 6 degrees of freedom
Fisher's C = 390.365 with P-value = 0 and on 12 degrees of freedom

---
Coefficients:

    Response     Predictor Estimate
        mean       Climate   0.4507
        mean          Soil  -0.1347
        mean Anthropogenic   0.4314
        mean    Vegetative   0.3009
        mean   Topographic   1.1474
        Soil    Vegetative   0.4853
  Vegetative       Climate   0.5512
     Climate   Topographic   1.0237
  Std.Error   DF Crit.Value P.Value
     0.1182 3581     3.8127  0.0001
     0.1476 3581    -0.9125  0.3616
     0.2119 3581     2.0361  0.0418
     0.0922 3581     3.2627  0.0011
     0.2176 3581     5.2728  0.0000
     0.0121 3585    39.9795  0.0000
     0.0171 3585    32.2327  0.0000
     0.0187 3585    54.8633  0.0000
  Std.Estimate    
        0.2048 ***
       -0.0617    
        0.0460   *
        0.1223  **
        0.3506 ***
        0.4305 ***
        0.6163 ***
        0.6885 ***

  Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05

---
Individual R-squared:

    Response method Marginal Conditional
        mean   none     0.22        0.68
        Soil   none     0.22        0.94
  Vegetative   none     0.36        0.91
     Climate   none     0.43        0.97
I text to my boss about needing tomorrow off
Goal :
    Générer une suggestion détaillée et visuellement attrayante pour la présentation finale d'un plat, basée sur le type, le titre, les ingrédients et les instructions de cuisine. 
    Cette description servira à créer une image du plat.


    Return Format :
    Renvoies un objet JSON respectant strictement cette structure :
    json
    {
        "data": <description>
    },
    - description doit être un prompt dans le but de générer une image et écrit en anglais.


    Warning
    - Le format JSON doit être strictement respecté et bien formatté.
    - Ne renvoie que le JSON, sans explication.


    Context Dump
    Données de la recette fournies :

    Le type de la recette est un plat principal.

    json
    {"category":"main","title":"Homemade gnocchi ","ingredients":"For the recipe : yukon gold potatoes,salt,canola oil,authentic foods gf classical blend or basic gluten-free flour mix,xanthan gum,rice milk,olive oil, plus more for drizzling,superfine brown rice flour,potato starch (not potato flour),tapioca flour (also called tapioca starch)","instructions":"Peel the potatoes, cutting them into 1- to 2-inch pieces, and place them in a microwave-safe bowl. Cover with water, ensuring the water rises a couple of inches above the potatoes. Add ½ teaspoon salt and the canola oil to help prevent boiling over. Microwave for about 12 minutes, checking for tenderness with a fork halfway through. Once they are fork-tender, drain the potatoes.\nBring a large pot of water to a rolling boil.\nMix the flour blend with the xanthan gum.\nIn a bowl, combine the potatoes with rice milk, olive oil, and a teaspoon of salt, using an electric mixer until the mixture becomes light and fluffy.\nTransfer the warm potatoes onto a work surface. If they have cooled down too much, warm them slightly in the microwave.\nSprinkle half of the flour mixture over the potatoes and knead it in with your hands. Gradually add the remaining flour, kneading until the dough is smooth yet slightly sticky. Form it into a ball, divide it into three portions, and roll each portion into a sausage-like log, approximately 1 inch in diameter. Cut these logs into ½-inch thick pieces.\nUsing a fork, face the front side towards you and press each piece of gnocchi into the fork's base, using your thumb to create an indentation. Then, with your index finger, flip the gnocchi toward the handle, which will give them a slight curve. Let the gnocchi drop onto your work surface. This method creates grooves on one side and a cupped shape on the other, allowing sauces to adhere better. Be prepared to switch forks periodically as they can become sticky.\nOnce all the gnocchi are shaped, add a generous pinch of salt to the boiling water. Cook the gnocchi in batches, ensuring not to overcrowd them; they are ready when they float to the top. After they rise, let them cook for an additional 10 seconds before removing them with a slotted spoon into a bowl drizzled with a bit of olive oil. Be careful not to overcook them! Keep them warm while preparing the rest of the gnocchi. Serve immediately.","region":"IT"}
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: [optionally, opulence, opum, opuntia, opuntiales, opuscule, orach, oracle, oracles, oracular, orad, oral, orally, oran, orangeade, orangecolored, orangeman, orangery, orangewood, orangutan, orate, oratice, oratio, oration, oratorical, oratorio, oratress, oratrix, oratro, oratrov]
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
que signifie tour parallèle
Darden Corporation uses the weighted-average method in its process costing system. The first processing department, the Welding Department, started the month with 18,200 units in its beginning work in process inventory that were 10% complete with respect to conversion costs. The conversion cost in this beginning work in process inventory was $16,700. An additional 85,000 units were started into production during the month. There were 18,000 units in the ending work in process inventory of the Welding Department that were 70% complete with respect to conversion costs. A total of $837,880 in conversion costs were incurred in the department during the month. The cost per equivalent unit for conversion costs for the month is closest to:
Select one:
a.
$9.965

b.
$9.200

c.
$8.486

d.
$8.738
Write a educational passage in Vietnamese that could appear in a textbook, giving some paragraphs or pharse that related to this question and answer set:
Câu hỏi: Bảng mã ASCII mở rộng sử dụng mấy bit để biểu diễn 1 ký tự?
A. 8.
B. 16.
C. 32.
D. 256.
Đáp án đúng: 8.
Notes that:
1. Remember that the multichoice question above must not be included in the paragraphs or phrase
2. You can not take an example same as the question
3. Explain detail like in the actual textbook
4. All instructions must be given in general form
Kick Buttowski Logo English, Arabic, Bulgarian, Dutch, French, Greek, Hebrew, Italian, Polish, Romanian, and Russian List of Languages:
Hi. I'm making a fantasy medieval game. Advise 4 different European ethnicities that you can be inspired to create 4 elvish kingdoms in my game.