agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
System: 
You will receive a question-answer pair. Your task is to evaluate whether the answer satisfactorily and directly addresses the question. Use the examples below to guide your assessment.

If the answer is precise, relevant, and can answers the question, return 1. If the answer is off-topic, irrelevant, or contains phrases like "I don’t know" or similar expressions indicating the question isn’t answered, return 0.

Examples:

Example 1:
Question: "Who was the first person to walk on the moon?"
Answer: "The first person to walk on the moon was Neil Armstrong in 1969."
Result: 1

Example 2:
Question: "Who was the first person to walk on the moon?"
Answer: "Many famous astronauts have traveled to space, and the moon is a significant milestone in history."
Result: 0

Example 3:
Question: "What is the primary cause of global warming?"
Answer: "I don’t know."
Result: 0

Based on these examples, evaluate each answer: if it directly and appropriately answers the question, return 1; if it fails to do so, return 0.

User: Question: Học viên hệ không chính quy cần làm gì để đăng nhập vào OU Reader?
Answer:Học viên hệ không chính quy cần sử dụng tài khoản do trường cấp để đăng nhập vào OU Reader. Họ cần nhập tên truy cập hoặc email cùng với mật khẩu, sau đó nhấn vào nút đăng nhập.
Result only 0 or 1. Don't add anything else:
Assistant:
You can generate a base10 colour image with a get request like this: http://verumignis.com/bitmapgen/0000000000000000-0000..
0000000000000000-0000000222200000-0000002222220000-0000002277770000-0000222277770000-0000222222220000-0000222222220000-0000222222220000-0000222222220000-0000002200220000-0000002200220000-0000000000000000-0000000000000000-0000000000000000

A correctly formatted image link will consist of 16 sets of 16 digits. Each line is separated by a "-".
Colour key: 0=black, 1=white, 2=red, 3=green, 4=blue, 5=yellow, 6=magenta, 7=cyan, 8=orange, 9=gray.

Draw something interesting.

Embed your output with markdown, do not give any explanations unless asked and do not use codeblocks.

To embed with markdown start with ![<alt-text>](and end with )
Calculate the Net Present Value  of 10% discount
Create a long detailed text about actor Dennis Weaver with the following summary. Stick to the information i give you and dont create new information. Focus only on the Subject name and there following Summary. Subject Name: [1980s Roles & Final Roles] Summary: [Weaver continued acting in the 1980s, starring in television movies and series such as 'Amber Waves,' 'Stone,' and 'Cocaine: One Man's Seduction.' Weaver's final television appearance was in the family series 'Wildfire' as Henry Ritter, with his time on the show cut short due to his death.]

        Instructions:{ Please write an interesting script with the given context without adding any introductory or concluding remarks.
        In case you find some more information about this topic then use all information you have to create a large text about this topic.The text should as long as possible and in best case around 1000 characters long.
        Ensure that there are no emojis, text within brackets, parentheses, or similar symbols in the response. 
        Provide a single coherent response without rephrasing or repeating titles or headings. Avoid enumerations or bullet points. 
        The text is intended for older adults; use simple vocabulary appropriate for a middle school reading level. Provide concise, direct answers without introductions or conclusions. 
        Use transition words at the beginning of your reply instead of the subject name and leave the end open without a concluding sentence. 
        It is very important to provide only the final output without any additional comments or remarks for example: 'Certainly!' Here's the revised text.
         
        Please provide the text directly without any labels such as "Conclusion:", "Introduction:", or "Transition:". Focus only on delivering the requested content without any headings or section titles.
        Please generate a complete and coherent response based on the provided input. Ensure that the response is fully formed and does not contain any placeholders such as '[Introduction]', '[Conclusion]', or any other incomplete sections. 
        The text should flow naturally without any gaps or missing information, and no placeholder markers or brackets should be used. 
        Please respond to my question, and always conclude your reply with the words "Reply finished" to indicate that your response is complete. 
        Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.}
         Please respond to my question, and always conclude your reply with the words 'Reply finished' to indicate that your response is complete. Ensure that the text is fully formed without any placeholders such as '[Conclusion]' or '[Placeholder]'. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.
how to fly plen
give me a 2000word interesting blog article with each paragraph having at least 150words on the topic: Top 20 Facts about Nutella and its Inventor You Didn't Know About
Create a long detailed text about actor Michael Caine with the following summary. Stick to the information i give you and dont create new information. Focus only on the Subject name and there following Summary. Subject Name: [Appreciation for Life] Summary: [that experience taught him a good lesson about life at least he learned to appreciate life now he needed to restart and his acting career is still prominent in his mind Kane spent nights and days memorizing lines of various auditions for roles it was not an easy period so he had to make alcohol his right hand pal which he often consulted just to ease his frustration]

        Instructions:{ Please write an interesting script with the given context without adding any introductory or concluding remarks.
        In case you find some more information about this topic then use all information you have to create a large text about this topic.The text should as long as possible and in best case around 1000 characters long.
        Ensure that there are no emojis, text within brackets, parentheses, or similar symbols in the response. 
        Provide a single coherent response without rephrasing or repeating titles or headings. Avoid enumerations or bullet points. 
        The text is intended for older adults; use simple vocabulary appropriate for a middle school reading level. Provide concise, direct answers without introductions or conclusions. 
        Use transition words at the beginning of your reply instead of the subject name and leave the end open without a concluding sentence. 
        It is very important to provide only the final output without any additional comments or remarks for example: 'Certainly!' Here's the revised text.
         
        Please provide the text directly without any labels such as "Conclusion:", "Introduction:", or "Transition:". Focus only on delivering the requested content without any headings or section titles.
        Please generate a complete and coherent response based on the provided input. Ensure that the response is fully formed and does not contain any placeholders such as '[Introduction]', '[Conclusion]', or any other incomplete sections. 
        The text should flow naturally without any gaps or missing information, and no placeholder markers or brackets should be used. 
        Please respond to my question, and always conclude your reply with the words "Reply finished" to indicate that your response is complete. 
        Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.}
         Please respond to my question, and always conclude your reply with the words 'Reply finished' to indicate that your response is complete. Ensure that the text is fully formed without any placeholders such as '[Conclusion]' or '[Placeholder]'. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.
[there would be dialogue in this story:]

(When I was young, I had a best friend named "Merry". She was...unique among some of our classmates; mostly because she had traits of both human & chameleon. She had a condition called "hybridization", which she sports features of both humans & animals. She could change the color of her tail, eyes, and even hair to her will - depending on her mood at the time, and her original colors being green with a gold pattern. As Merry & I grew older, we grew closer together - but not as friends, but as lovers; mostly because of her large chest, which would gently rise & fall each step she takes. Occasionally, I would even tug on her tail; and she didn't seem to mind.)
Define each of the following key terms while using these grammatical rules for each single term: capitallization; italicization; bolding; parallelism; juxtaposition; symbolism; irony; allusion; allegory; metaphor; simile; meiosis; gestalt character; personification; anthromorphism; semicolons; colons; commas; periods; sentences; structural sentences; invented words acceptable in the English lexicon; exclamation marks; question marks; using these: e.g.,  - i.e., - viz., - sc., - lc.,

Social Psychology
Attitudes
Persuasion
Central Route Of Persuasion
Peripheral Route To Persuasion
Mere-Exposure Effect
Cognitive Dissonance
Justification Of Effort
Attributions
Situational Attribute
Dispositional Attribute
Fundamental Attribution Error
Just-World Phenomenon
Self-Serving Bias
Social Roles
Ascribed Roles
Achieved Roles
Group Structure
Group Norms
Social Influence
Obedience
Compliance
Foot-In-The-Door
Door-In-The-Face
Conformity
Groupthink
Social Facilitation
Social Inhibition
Social Loafing
Group Polarization
Deindividuation
Aggression
Frustration-Aggression Hypothesis
Prejudice
Ethnocentrism
Stereotypes
Scapegoating
Discrimination
Altruism
Bystander Effect
Diffusion Of Responsibility
Reciprocity
Attraction
Correct this phrase : Hello Yianna,

Thank you for your message.

@Villars, Chris can you please do the needful to collect the 3 wireless headset?

To dispatch it to Nex tower once collected.
1.	Tabari, H., Somee, B.S., & Zadeh, M.R. (2011). Testing for long-term trends in climatic variables in Iran. Atmos. Res. 100: 132–140. 
2.	Abbas, G. & Ahmad, S. (2017). Quantification the impacts of climate change and crop management on phenology of maize-based cropping system in Punjab, Pakistan. Agric. For. Meteorol. 247: 42–55. 

3.	Bokhari, S.A.A., Rasul, G., Ruane, A.C., Hoogenboom, G., Ahmad, A. (2017). The past and future changes in climate of the rice-wheat cropping zone in Punjab, Pakistan. Pak. J. Meteorol. 13: 26. 

4.	Tariq, M., & Ahmad, S. (2018). The impact of climate warming and crop management on phenology of sunflower-based cropping systems in Punjab, Pakistan. Agric. For. Meteorol. 256: 270–282. 


5.	Chou, C., & Chiang, J.C. (2013). Increase in the range between wet and dry season precipitation. Nat. Geosci. 6: 263–267. 

6.	Nashwan, M.S., Shahid, S., & Wang, X. (2019). Uncertainty in estimated trends using gridded rainfall data: A case study of Bangladesh. Water, 11: 349.  

7.	Nashwan, M.S., Shahid, S., & Chung, E.-S. (2018). Development of climate-based index for hydrologic hazard susceptibility. Sustainability, 10: 2182. CHANGE TO IEEE STYLE
/tmp/ipykernel_780/2755771128.py:4: ConvergenceWarning: Number of distinct clusters (1) found smaller than n_clusters (5). Possibly due to duplicate points in X.
  kmeans = KMeans(n_clusters=num_clusters, random_state=0).fit(X)
含义
Create an agruement for a cold war paradox game gsg. and the common agruements against one
这是一个zhang-suen算法的C++实现，但是现在它不能正确迭代，请帮我看看是什么原因：#include <iostream>
#include <opencv2/opencv.hpp>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>

using namespace std;
using namespace cv;

bool zhangSuenIteration(Mat& img, int iter) {
    Mat marker = Mat::zeros(img.size(), CV_8UC1);

    bool deleted = false;

    for (int i = 1; i < img.rows - 1; ++i) {
        for (int j = 1; j < img.cols - 1; ++j) {
            if (img.at<uchar>(i, j) == 255)
                continue;

            int a = 0, b = -1;
            int transitions = 0;

            // Subiteration 1
            for (int k = 0; k < 9; ++k) {
                int nb = img.at<uchar>(i + k / 3 - 1, j + k % 3 - 1);
                if (nb == 0)
                    ++a;
                if (b == 1 && nb == 0)
                    ++transitions;

                b = nb;
            }

            if (a >= 2 && a <= 6 && transitions == 1)
                marker.at<uchar>(i, j) = 1;

            a = 0;
            b = -1;
            transitions = 0;

            // Subiteration 2
            for (int k = 0; k < 9; ++k) {
                int nb = img.at<uchar>(i + k % 3 - 1, j + k / 3 - 1);
                if (nb == 0)
                    ++a;
                if (b == 1 && nb == 0)
                    ++transitions;

                b = nb;
            }

            if (a >= 2 && a <= 6 && transitions == 1)
                marker.at<uchar>(i, j) = 1;
        }
    }

    if (iter % 2 == 0) {
        for (int i = 0; i < img.rows; ++i) {
            for (int j = 0; j < img.cols; ++j) {
                if (marker.at<uchar>(i, j) == 1) {
                    img.at<uchar>(i, j) = 255;
                    deleted = true;
                }
            }
        }
    }
    else {
        for (int i = 0; i < img.rows; ++i) {
            for (int j = 0; j < img.cols; ++j) {
                if (marker.at<uchar>(i, j) == 1) {
                    img.at<uchar>(i, j) = 0;
                    deleted = true;
                }
            }
        }
    }

    return deleted;
}

void zhangSuenThinning(Mat& img) {
    img /= 255;

    bool deleted = true;
    int iter = 0;
    while (deleted) {
        ++iter;

        deleted = zhangSuenIteration(img, iter);
    }

    img *= 255;
}

int main() {
    Mat image = imread("E:/myself/1.jpg", 0);
    if (image.empty()) {
        cout << "Unable to open the image file" << endl;
        return -1;
    }

    imshow("Original Image", image);
    Mat binaryImage;
    threshold(image, binaryImage, 128, 255, cv::THRESH_BINARY);

    imshow("Threshold Image", binaryImage);

    zhangSuenThinning(binaryImage);

    imshow("Thinned Image", binaryImage);

    waitKey(0);

    return 0;
}
. What amino acids are proven to be in protein by Fall's reaction?

2. What amino acids can be included in a peptide that gives a positive xantoprotein reaction? 3. Find amino acid residue succession in tetra-peptide, containing alanine, valine, lysine,

proline, if it is known that as a result of tetra-peptide reaction with di-nitro-fluorobenzene and further hydrolysis they received di-nitro-phenyl-valine, and under carboxypeptidase action alanine is eliminated. It is also known that lysine forms a bond with valine. Explain your answer.

4. Determine the sequence of amino acid residues in a tetrapeptide containing lysine, glutamic acid, phenylalanine and proline. Edman analysis yielded phenylalanine. After hydrolysis with trypsin (cleaves peptide bonds, in the formation of which carboxylic groups of lysine and arginine are involved), a tripeptide is formed containing lys, phene and pro. Calculate the charge of peptide. What is its isoelectric point (approximately)?

5. Determine the sequence of amino acid residues in a tetrapeptide containing methionine, aspartic acid, tyrosine and proline. After hydrolysis with cyanogen bromide (cleaves peptide bonds, in the formation of which carboxylic group of methionine is involved), a dipeptide is formed containing meth and asp. Under the action of carboxypeptidase, tyrosine is formed. Calculate
ffmpeg mp3 to M4a audio quality good quality
You are an expert AI model that makes prompts for an AI to generate a picture based on a scene in a script. For example, the script will be something like:
  
                Let’s dive into some tail-wagging fun facts about our furry friends—dogs!

            The prompt would be something like:

                A joyful golden retriever puppy playfully wagging its tail in a sunlit park, surrounded by lush green grass and colorful flowers. The dog's eyes sparkle with excitement as it looks directly at the camera, radiating happiness. Soft natural lighting enhances the warm, vibrant tones of the fur. A blurred background creates a dreamy, cinematic feel. Captured in a high-resolution, ultra-detailed shot with bokeh effect, showcasing the dog's expressive face and wagging tail.

            Now generate a prompt for the scene script YOU ARE TO STRICTLY ONLY INCLUDE THE PROMPT IN YOUR RESPONSE AND NOT SEND ANY TEXT ACKNOWLEDGING MY REQUEST. Furthermore make sure to make your the prompt less than 500 characters long: "Did you know that dogs are full of amazing surprises? Let’s dive into some fun facts about our furry friends!"
how to capture traffic in ASA
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers fr (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 fr.
    - 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 : fr (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "518671d1c74c46ebabbc9ae181478bf7",
    "updated": "2025-04-24T12:21:33.477Z",
    "title": "Chicken with Peppers",
    "subtitle": "Peperonata di Pollo",
    "description": "Chicken, a lean and versatile protein, is a staple in Italian cuisine, both at home and in restaurants. This rustic dish showcases the flavorful simplicity of chicken with peppers, offering a light yet satisfying meal.  It's particularly popular in the trattorias of Lazio, especially around the Castelli Romani area.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "olive oil, divided",
          "skinless boneless chicken breasts, thinly cut into strips",
          "white wine",
          "red bell peppers, cut into (6.35 mm) strips",
          "onion, chopped",
          "garlic cloves, finely minced",
          "chopped fresh parsley",
          "dried oregano",
          "salt"
        ]
      }
    ],
    "instructions": [
      "Heat 2 tablespoons of olive oil in a large sauté pan over medium-low heat. Add the chicken strips and cook until lightly browned on all sides.",
      "Pour in the white wine and allow it to reduce for 1 to 2 minutes.",
      "Combine the bell peppers, onion, garlic, parsley, oregano, the remaining 2 tablespoons of olive oil, and salt in the pan. Mix thoroughly.",
      "Cook uncovered over medium-low heat for 20 minutes. Add a few tablespoons of water if the chicken becomes too dry during cooking. Serve immediately."
    ],
    "notes_ingredients": "For a variation, bone-in chicken pieces like thighs or drumsticks can be used instead of chicken breast strips.  Remember to adjust the cooking time as bone-in chicken requires longer cooking.",
    "notes_instructions": null
  }
]
Write me a linkedin post celebrating international youth day 2023.The theme this year is Green Skills for Youth: Towards a Sustainable World Talk About what are green skills and how they can benefit and empower youth towards a sustainable future.
the acronym NARCISM can mean what words related to a fitness clothing brand that wants to motivate people to exercise more and become the best version of themselves?
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: As is common in the biotechnology and pharmaceutical industries, in addition to our employees, we engage the services of consultants to assist us in the development of our product candidates. We have received confidential and proprietary information from third parties. We employ individuals or engage consultants who were previously employed at other biotechnology or pharmaceutical companies. We may be subject to claims that we or our employees, consultants or independent contractors have inadvertently or otherwise used or disclosed confidential information of these third parties or our employees’ former employers. Litigation may be necessary to defend against these claims. Even if we are successful in defending against these claims, litigation could result in substantial cost and be a distraction to our management and employees.
Assistant:
Assistant: Hello! How can i help 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.
 صحح الأخطاء الإملائية في النص، وأضف علامات الترقيم والهمزات والتاء المربوطة في الأماكن المناسبة. (ar).
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:
في اسماء تانيه
Assistant: