agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Assistant: 
User: System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into 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 user review of an Android app, aiming to categorize the reviews into 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 app review relate to a bug report or feature request or other?
review: Repeatedly drops out when using WiFi on mobile devices Ross. Me and my wife are now just using mobile data in the house which is far from ideal. Ive spoken to your team repeatedly and Im expecting yet another call back tomorrow. In the meantime Im paying for nothing.'
intention: '
Assistant:
Assistant:
Immediate postoperative prosthetic fitting (IPOPF) can be done especially in children and clean traumatic ablations

*
True
False
Unable to load schema from 'tauri://schemas/config.json': cannot open tauri://schemas/config.json. Detail: Request failed with status code 40
how set task schadute  for run bat send email .msg every day at 8.00am
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: Alright bro 
Thanks 👍
Assistant: 
User: 
    Please analyze the following code file and determine whether it belongs to any of the provided modules based on the listed module descriptions.
    Note that the provided list of modules may not be exhaustive, and some files may not belong to any of the modules. 
    If the code belongs to a module, Only output the module name, without any explanation or additional information; otherwise, return 'None' if it does not belong to any module.

    Modules : {
        "UI": "Handles the front-end user interface, consisting of HTML, CSS, and JavaScript files generated by the Angular framework. It processes user requests and interacts with the server using AJAX for data retrieval and client-side interactions."
"Test Driver": "Facilitates automated regression testing and handles transmission of test data in JSON format. It performs Java testing using TestNG and JavaScript unit-testing with Jest. It also sets up a simulated web server for servlet-level tests and automates end-to-end testing using Selenium Java."
"Logic": "Manages the business logic of TEAMMATES, including handling relationships between entities, managing transactions, input value sanitization, access control rights, and interfacing with GAE-provided or third-party APIs."
"Storage": "Performs CRUD operations on data entities, validation of data, and abstraction of GQL queries, hiding the complexities of datastore from the Logic component."
"Common": "Contains utility classes, custom exceptions, and data transfer objects used across the entire application for easy consolidation and transfer of structured data."
"E2E": "Handles end-to-end testing and load & performance testing, providing helpers, abstractions of browser pages, and test cases for E2E tests and L&P tests."
"Client": "Contains scripts for administrative tasks, such as migrating data to a new schema and calculating statistics. This module connects directly to the application back-end for administrative purposes."
    }

    Code: package teammates.common.datatransfer.logs; /** * Severity level for logs. */ // CHECKSTYLE.OFF:JavadocVariable enum names are self-documenting public enum LogSeverity { DEFAULT(-1), DEBUG(0), INFO(1), WARNING(2), ERROR(3), CRITICAL(4); private final int severityLevel; LogSeverity(int severityLevel) { this.severityLevel = severityLevel; } public int getSeverityLevel() { return severityLevel; } }
    
Assistant:
Send only season number from below text like 01, 02, 03.etc without any extra text.

@SMOfficialUpdates- Welcome to Waikiki S01 Episode 8 NF 480p Korean MSub.mkv
generate a description with keywords and SEOs for Sunlit Serenity: Ethereal Woman in Dreamy Bedroom Setting - Ultra Realistic Portrait include practical application on and uses can be applied to for entrepreneurs include social media platform it can be used on and for what purpose include details on dimension is 1080 1080 and has 3 image variation include buyer has full rights to resale and commercial usage at the ending
Impact of International Trade on Economic Growth in Nigeria 
(1988-2012)
Send only season number from below text like 01, 02, 03.etc without any extra text.

Veeram (2017) Hindi Full Movie HEVC ESub 720p FilmyZerox.mkv
Do Koreans struggle with the letter "R"?
(In the school literature clubroom…)

Monika: “Ow! Ow, ow, ow! Oh god, it’s happening! Minika, couldn’t you have stayed in my womb for 2 more months?!”

Sayori: (rushing over with concern) “Monika, are you okay? What’s happening?”

Monika: (grimacing in pain) “It’s… it’s nothing serious, Sayori. Just some sudden cramps. I’ll be fine, don’t worry.”

Sayori: (still worried) “Are you sure, Monika? Maybe we should call the nurse or something.”

Monika: (smiling reassuringly) “No, really, Sayori. It’s just a normal monthly occurrence for me. I’ll be alright in a few minutes, I promise.”

Natsuki: (enters the room, looking concerned) “What’s going on here? Why does Monika look like she’s in pain?”

Monika: (taking a deep breath) “It’s alright, Natsuki. Just some cramps, nothing to worry about. I’ve had them before, and they usually go away soon.”

Natsuki: (relieved) “Oh, thank goodness! I was really worried there for a moment.”

Yuri: (enters the room, noticing the commotion) “What’s happening? Is everything alright?”

Sayori: (explains) “Monika is just experiencing some cramps, Yuri. She says it’s normal and that she’ll be fine soon.”

Yuri: (concerned) “I see. Monika, if there’s anything we can do to help, please let us know.”

Monika: (grateful) “Thank you, Yuri. But really, I’ll be fine. It’s just a bit uncomfortable at the moment-” (clutching her stomach in agony) “AAAAAAAAAAAAAAAAAAAAAAAAAAAAHHHHHHHHHH!!!”

(Sayori, Natsuki, and Yuri all rush to Monika’s side, their eyes wide with shock and concern. They quickly realize that Monika’s pain has intensified beyond what she initially described.)

Sayori: “Monika, what’s wrong? This doesn’t seem normal!”

(Monika, her eyes filled with tears, looks up at Sayori.)

Monika: “Minika…she’s coming…”
What would be some prominent models covered in level 4 CIPS qualifications. Please be thorough with models that are relevant and why. Please cite the authors of the model.
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: Please answer the following question: I want to test the ability of students to read a passage and answer questions about it. Could you please come up with a good question for the passage "The Farmington Canal Trail is a rail trail that will eventually run continuously from downtown New Haven to Northampton, Massachusetts. The scenic trail follows the path of the historic New Haven and Northampton Company and the Farmington Canal. Currently, there is a continuous 14-mile (23 km) stretch of the trail from downtown, through Hamden and into Cheshire, making bicycle commuting between New Haven and those suburbs possible. The trail is part of the East Coast Greenway, a proposed 3,000-mile (4,800 km) bike path that would link every major city on the East Coast from Florida to Maine."?
Answer:
Answer: Question: What is the significance of the Farmington Canal Trail in the context of the larger East Coast Greenway project, and how does its current continuous stretch benefit bicycle commuting between New Haven and its suburbs?

This question encourages the students to comprehend the overall context of the Farmington Canal Trail within the larger East Coast Greenway project as well as its practical implications for commuting between New Haven and the mentioned suburbs. It requires students to synthesize information from the passage and demonstrate understanding of the key concepts.
Write a neighborhood description for Bonita Springs, FL
исправь const tf = require('@tensorflow/tfjs-node'); // используем tfjs-node для повышения производительности
const fs = require('fs');
const readlineSync = require('readline-sync');
const natural = require('natural');

async function loadData() {
    const data = JSON.parse(fs.readFileSync('bd.json'));
    return data;
}

// Функция для токенизации и векторизации вопросов
function vectorizeQuestions(questions, wordIndex, maxLength) {
    return questions.map(question => {
        const tokens = question.toLowerCase().split(/\W+/);
        const vector = Array(maxLength).fill(0);
        tokens.forEach((word, index) => {
            if (index < maxLength) {
                vector[index] = wordIndex[word] || 0;
            }
        });
        return vector;
    });
}

// Подготовка данных и обучение модели
async function trainModel(data) {
    const questions = data.map(item => item.question);
    const answers = data.map(item => item.answer);

    const uniqueWords = [...new Set(questions.join(' ').toLowerCase().split(/\W+/))];
    const wordIndex = uniqueWords.reduce((acc, word, index) => {
        acc[word] = index + 1; // Индексация начинается с 1
        return acc;
    }, {});

    const maxLength = Math.max(...questions.map(q => q.split(/\W+/).length));

    // Векторизация вопросов
    const X = tf.tensor2d(vectorizeQuestions(questions, wordIndex, maxLength));
    
    // Кодируем ответы в числа (one-hot encoding)
    const Y = tf.tensor2d(answers.map((_, index) => {
        const target = new Array(data.length).fill(0);
        target[index] = 1;
        return target;
    }));

    const model = tf.sequential();
    model.add(tf.layers.dense({ units: 64, activation: 'relu', inputShape: [maxLength] }));
    model.add(tf.layers.dense({ units: data.length, activation: 'softmax' }));
    model.compile({ optimizer: 'adam', loss: 'categoricalCrossentropy', metrics: ['accuracy'] });

    await model.fit(X, Y, { epochs: 100 });

    return { model, wordIndex };
}

// Функция для предсказания ответа
function predictAnswer(model, wordIndex, inputQuestion, data) {
    const maxLength = Math.max(...data.map(item => item.question.split(/\W+/).length));
    const inputVector = vectorizeQuestions([inputQuestion], wordIndex, maxLength)[0];
    const inputTensor = tf.tensor2d([inputVector]);

    const prediction = model.predict(inputTensor);
    const predictedIndex = prediction.argMax(1).dataSync()[0];

    return data[predictedIndex].answer;
}

// Главная функция
async function main() {
    const data = await loadData();
    const { model, wordIndex } = await trainModel(data);

    while (true) {
        const inputQuestion = readlineSync.question('Введите вопрос (или "exit" для выхода): ');
        if (inputQuestion.toLowerCase() === 'exit') {
            break;
        }
        const answer = predictAnswer(model, wordIndex, inputQuestion, data);
        console.log('Ответ: ', answer);
    }
}

main().catch(console.error);
modify: Dear parents， 
All the children had participated their teeth checkup, bravo! We will send back the Oral Health Report Card this afternoon. Please have a check. Thank you.
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: There is a trend toward value-based purchasing of healthcare services across the healthcare industry among both government and commercial payors. Generally, value-based purchasing initiatives tie payment to the quality and efficiency of care. For example, hospital payments may be negatively impacted by the occurrence of HACs. Medicare does not reimburse for care related to HACs, and hospitals in the bottom quartile of HAC rates receive a 1% reduction in their total Medicare payments the following year. In addition, federal funds may not be used under the Medicaid program to reimburse providers for services provided to treat HACs. Hospitals that experience excess readmissions for designated conditions receive reduced payments for all inpatient discharges. HHS also reduces Medicare inpatient hospital payments for all discharges by a required percentage and pools the amount collected from these reductions to fund payments to reward hospitals that meet or exceed certain quality performance standards. Further, Medicare and Medicaid require hospitals to report certain quality data to receive full reimbursement updates.
Assistant:
your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. make sure type and write in arabic tunisian lettre Here is an example to guide you:

Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Teacher:In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
Teacher: Now, understand the problem? Solve this instance: How do I get more people to ask me questions on Quora?
Student:
Answer: To understand the problem, I first read the given question carefully: "How do I get more people to ask me questions on Quora?" Then, I focused on the main components of the question, which are 1) getting more people, 2) to ask questions, and 3) on Quora. Using the definition of paraphrasing, I tried to rephrase the question while keeping its original meaning.

Here's my solution: "What strategies can I use to increase the number of questions directed at me on Quora?"
In the following text, change it to use advanced vocabulary but do not overuse it. Make sure to use proper grammar and spell check thoroughly. Show expertise in the subject provided, but do not add any extra information. Try to keep your response at the same length of words as the original. Use the same language as the original text. ONLY return the modified text and nothing else.



Use the powerful GPT-4, Llama-3 and more AI models on Raycast, for FREE - no API Key required.
Please help me write a professional CV taking into fact that I am a fresher who is looking for a job in the company of which web address is https://www.badshatex.com/

My career objective is " Looking for a Job in an organization where I can grow my analytical skills and professionalcompetence in the areas of accounting, taxation and auditing while adding value to the organizationtowards its growth"

My educational qualifications are

EDUCATION 
Bachelor of Business Administration 
Mirpur University College 
From07/2015 - to 06/2020, 
CGPA: 2.88 
Department : Accounting

Higher Secondary School Certificate (HSC) 
Khilgaon Govt. High School 
from07/2013 - to 06/2015, 
GPA : 4.42 
Group : Commerce

Secondary School Certificate (S.S.C) 
Bill Nalia Moyez Uddin High School 
From 01/2011 - to 12/2013, 
GPA : 4.06 
Group : Commerce

My skills are

Microsoft Office 
Teamwork 
Excellent verbal andwritten communication 
Patience 
Creative thinking 
Decision making

My language skills are 
Native or Bilingual Proficiency in Bengali
Full professional proficiency in English

I have interest in the following things
Reading Books 
Developingentrepreneurial skills. 
Travelling andexperiencing a different culture.

My permanent adress and personal information are 

Name : Abdul Alim
Father’s Name : Md. Akkas Ali
Mother’s Name : Rabeya Begum
Date of Birth : 15 August 1998

Permanent Address : 

Village : Bill Nalia 
Post office : Bill Nalia
Nationality : Bangladeshi
Religion : Islam
Marital Status : Unmarried
Gender : Male
Thana: Nagarkanda 
District: Faridpur

My current adress is 

Middle Badda Link Road, Badda, 
Dhaka-1212
Cell: 01517124743
Email: <PRESIDIO_ANONYMIZED_EMAIL_ADDRESS>
I have unreal engine 5 project and I cant compile my .h file in visual studio code:
PS C:\Users\Prohor\Documents\Unreal Projects\Card_Game> cd "c:\Users\Prohor\Documents\Unreal Projects\Card_Game\Source\Card_Game\Public\" ; if ($?) { g++ BlankTile.h -o BlankTile } ; 
if ($?) { .\BlankTile }
BlankTile.h:3:9: warning: #pragma once in main file
 #pragma once
         ^~~~
BlankTile.h:5:10: fatal error: CoreMinimal.h: No such file or directory
 #include "CoreMinimal.h"
          ^~~~~~~~~~~~~~~
compilation terminated.
Fair Dismissal 和 Unfair Dimissal
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:
1 egg,8 ounces wheel Brie,2 sheets thawed frozen puff pastry,1 ounce all-purpose flour,2 ½ ounces whole-berry cranberry sauce,2 ounces finely chopped walnuts,½ ounce fresh thyme leaves
Tell me about Nostradamus' World War III prophecy
explain : • The liver maintains the body's energy supply by its involvement in carbohydrate and fat metabolism.
• The liver is the site of the primary metabolism and detoxification of both endogenous and exogenous compounds, for example waste products of metabolism and drugs respectively.
• Vitamins and iron are stored in the liver and released into the circulation when required.
• The liver is also a site of hormone metabolism especially 25-hydroxylation of vitamin D.
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: We have entered into strategic collaborations and license agreements with the University of Utah, and CPRIT. While we may seek to enter into future collaborations for the development and commercialization of our product candidates, there can be no assurance that we will be able to do so. Even if we are successful in entering into a collaboration with respect to the development and/or commercialization of one or more product candidates, there is no guarantee that the collaboration will be successful and we may be unable to realize in full or in part the potential benefits of any of our current collaborations. Collaborations may pose a number of risks, including: •collaborators often have significant discretion in determining the efforts and resources that they will apply to the collaboration, and may not commit sufficient resources to the development, marketing or commercialization of the product or products that are subject to the collaboration; •collaborators may not perform their obligations as expected; •any such collaboration may significantly limit our share of potential future profits from the associated program, and may require us to relinquish potentially valuable rights to our current product candidates, potential products or proprietary technologies or grant licenses on terms that are not favorable to us; •collaborators may cease to devote resources to the development or commercialization of our product candidates if the collaborators view our product candidates as competitive with their
Assistant:
his equation shows how the total number of pages Anita has read depends on the number of hours she spends reading this week.

p = 16h

The variable h represents the number of hours she spends reading this week, and the variable p represents the number of pages that she has read. After a total of 1 hour of reading this week, how many pages will Anita have read in all?

 pages