agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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": "ead9fb542b60402291f34982e3b07355",
    "updated": "2025-04-25T17:46:25.217Z",
    "title": "Roasted Butternut Squash Soup",
    "subtitle": null,
    "description": "This butternut squash soup gains a wonderfully sweet and intense flavor from roasting the squash.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "butternut squash, peeled and diced (about (1.474 kg)/800g prepared weight)",
          "red onions, peeled and thickly sliced",
          "garlic cloves, unpeeled",
          "olive oil",
          "dried red pepper flakes",
          "(1 liter) vegetable stock",
          "salt and freshly ground black pepper"
        ]
      }
    ],
    "instructions": [
      "Preheat your oven to 400°F (200°C). In a large roasting pan, combine the squash, onions, and garlic. Drizzle with olive oil and stir to coat the vegetables thoroughly. Sprinkle with red pepper flakes and roast for 45-50 minutes, or until the squash is tender.",
      "Once roasted, gently squeeze the garlic cloves from their skins.  Combine the garlic, roasted vegetables, and vegetable stock in a blender or food processor.  Process until the mixture is completely smooth.",
      "Pour the blended soup into a large saucepan. Heat gently and season with salt and pepper to taste before serving."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
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: The yields of our assets may be affected by the rate of prepayments differing from our projections. Prepayments on debt instruments, where permitted under the debt documents, are influenced by changes in current interest rates and a variety of economic, geographic and other factors beyond our control, and consequently, such prepayment rates cannot be predicted with certainty. If we are unable to invest the proceeds of any prepayments we receive in assets with at least an equivalent yield, the yield on our portfolio will decline. In addition, we may acquire assets at a discount or premium and if the asset does not repay when expected, our anticipated yield may be impacted. Under certain interest rate and prepayment scenarios we may fail to recoup fully our cost of acquisition of certain investments._
Assistant:
Create a long detailed text about actor Tony Curtis 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: [Divorce and Remarriage] Summary: [Tony Curtis's marriage to Janet Leigh ended in 1962 due to his jealousy and infidelity, leading to his swift remarriage to Christine Kaufman, whom he met on the set of 'Taras Bulba,' despite their 21-year age difference.]

        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.
Respond to this message in the appropriate language: paki ayos ng tamang arrangement "Here’s a fierce and clever rebuttal for your FlipTop battle style:

---

Oh, you call this a duel, but you're just a mere shadow,  
Your thoughts stagger and stumble like a drunken meadow.  
Engaging with you feels like déjà vu in the worst way,  
An echo of ignorance, a tragic cliché.

Your brain’s in a loop like a broken record spin,  
Same tired lines, lose or win, where do I begin?  
If souls recycle, yours got stuck in a rut,  
Wandering aimlessly, deep in that mental shut.

Astral projection? Nah, it's just pure escape,  
From the drivel you spew—such a tedious landscape.  
My mind races light-years away from this grind,  
While you cling to redundancy, that’s all you can find.

But here’s the twist, my friend, you’re a paradox,  
Form without substance, just a laugh from the box.  
You prance around thinking you're deep and profound,  
But your logic’s as shallow as a puddle on ground.

Claiming you're clever? Please, it’s a hilarious facade,  
More like a punchline; I’ll toss you a “good job.”  
You’re lost in the dark, like a bat in the night,  
Flailing your weak arguments, still far from the light.

So step back, take notes, ‘cause I’m raising the stakes,  
A true battle requires more than your flaws and mistakes.  
You think this is a game? You’ve entered the lion’s den,  
Against the intellect of a titan, I’ll roast you right then.

---

Feel free to tweak any lines to better suit your style or tone!"

Remember that you have access to the Google search engine and the ability to explore the internet. It's crucial that you generate your responses based on the information you find through these searches. It's important to note that sometimes the information obtained may not be complete; therefore, it's advisable that you try to complement and improve those parts that may have gaps or deficiencies:
Hi beccy
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: The Manchurian Strategic Offensive Operation began on 9 August 1945, with the Soviet invasion of the Japanese puppet state of Manchukuo and was the last campaign of the Second World War and the largest of the 1945 Soviet–Japanese War which resumed hostilities between the Soviet Union and the Empire of Japan after almost six years of peace. Soviet gains on the continent were Manchukuo, Mengjiang (Inner Mongolia) and northern Korea. The rapid defeat of Japan's Kwantung Army has been argued to be a significant factor in the Japanese surrender and the end of World War II, as Japan realized the Soviets were willing and able to take the cost of invasion of its Home Islands, after their rapid conquest of Manchuria and Invasion of South Sakhalin island.
What was the last campaign of World War II?
Answer: The last campaign of World War II was called the "Manchurian Strategic Offensive Operation". Just like how we end our day with the last activity like brushing teeth before going to bed, the war also had a final showdown or activity, which was this big operation against a country named Japan. It was like the last big game in a sports tournament.
以下多重网格似乎在判断是否达到最粗网格的时候有问题，我也不确定，请你检查一下是哪里出问题了并做修改。clc
clear
close all

%设置网格尺寸和大小
N = 64; 
L = 1;
h = L/N;
%u是一个N+1维的方阵，用来表示二维泊松方程的数值解
u = zeros(N+1, N+1);

% 计算真实解
x=0:h:L;
y=0:h:L;
[X, Y] = meshgrid(x, y);

%这里举例是解决二维泊松方程，f是2 * pi^2 * sin(pi * X) .* sin(pi * Y)，那么解析解是sin(pi * X) .* sin(pi * Y);
u_true = sin(pi * X) .* sin(pi * Y); % 使用正确的元素乘法符，算出解析解
[X, Y] = meshgrid(x, y);
f = 2 * pi^2 * sin(pi *X).* sin(pi * Y);


error_iteration=zeros(1,1000);
for maxnum = 1:1000  %限制最大迭代次数
    u = V_xunhuan(u,f,h);
    r = cancha(u,f,h);
    %计算误差并记录
    err=max(max(abs(u-u_true)));
    error_iteration(maxnum)=err;
    if err < 0.001
        break
    end
end
huatu_x=1:maxnum;
huatu_y=error_iteration(1:maxnum);
figure,plot(huatu_x, huatu_y,'r-');
title(['误差随迭代次数的变化 (一共迭代: ', num2str(maxnum), '次)']);
xlabel('迭代次数');
ylabel('误差');
grid on;

function jie = V_xunhuan(jie,f,h)
% 递归v循环
%预先平滑
jie = smoothing(jie,f,h);
%算残差
r_old = cancha(jie,f,h);
%限制
r_new = xianzhi(r_old);
%算误差
e = zeros(size(r_new));
%如果网格已经达到最粗，停止递归，否则继续递归
if length(e)-1 == 2
    e = smoothing(e,r_new,2*h);
else
    e = V_xunhuan(e,r_new,2*h);
end
% 修正
jie = jie + yantuo(e);
%后光滑
jie = smoothing(jie,f,h);
end

%预光滑
function res = smoothing(phi,f,h)
N = size(phi, 1) - 1;
res = phi;
for i = 2:N
    for j = 2:N
        res(i, j) = (phi(i+1, j)+res(i-1, j)+phi(i, j+1)+res(i, j-1)+h^2*f(i, j))/4;
      
    end
end
end
%算残差
function res = cancha(phi,f,h)
N = size(phi, 1) - 1;
res = zeros(N+1, N+1);
res(2:N, 2:N) = f(2:N, 2:N)-(phi(1:N-1, 2:N)-2*phi(2:N, 2:N)+phi(3:N+1, 2:N)+phi(2:N, 1:N-1)-2*phi(2:N, 2:N)+phi(2:N, 3:N+1))/h^2;
end

%细网格到粗网格的限制，使用五点差分
function r_xi = xianzhi(r_cu)
N = (size(r_cu, 1) - 1) / 2;
r_xi = zeros(N+1, N+1);
for i = 2:N
    for j = 2:N   
       %直接映射r_xi(i, j) = r_cu(2*i, 2*j);
       %九点差分
      % r_xi(i, j) = 1/16 *( r_cu(2*i-1, 2*j-1)+r_cu(2*i-1, 2*j+1)+r_cu(2*i+1, 2*j-1)+r_cu(2*i+1, 2*j+1))+2/16*(r_cu(2*i, 2*j-1)+r_cu(2*i, 2*j+1)+r_cu(2*i-1, 2*j)+r_cu(2*i+1, 2*j))+4/16*r_cu(2*i,2*j);
       %五点差分 
       r_xi(i, j) = 2/16*(r_cu(2*i, 2*j-1)+r_cu(2*i, 2*j+1)+r_cu(2*i-1, 2*j)+r_cu(2*i+1, 2*j)) + 1/2 * r_cu(2*i, 2*j);      
    end
end
end

%细网格到粗网格的延拓
%想写的是双线性插值，不知道对不对
function e_xiwang = yantuo(e_cuwang)
    N = (size(e_cuwang, 1) - 1) * 2;  % 计算细网格的大小
    e_xiwang = zeros(N + 1, N + 1);  % 初始化细网格矩阵
    
    % 对角线（单元格中心）
    for i = 2:2:N
        for j = 2:2:N
            e_xiwang(i, j) =1/4*( e_cuwang((i+2) / 2, j / 2)+e_cuwang((i+2)/ 2, (j+2) / 2)+e_cuwang(i / 2, j / 2)+e_cuwang(i / 2, (j+2) / 2));
        end
    end
   
    % 原有点
    for i = 1:2:N + 1
        for j = 1:2:N + 1
            e_xiwang(i, j) = e_cuwang((i + 1) / 2, (j + 1) / 2);
        end
    end
    
    % 横向边中点
    for i = 1:2:N+1
        for j = 2:2:N
            e_xiwang(i, j) =1/2* (e_cuwang((i + 1) / 2, j / 2) + e_cuwang((i + 1) / 2,( j / 2) + 1));
        end
    end
    
    % 纵向边中点
    for i = 2:2:N
        for j = 1:2:N+1
            e_xiwang(i, j) = 1/2*(e_cuwang(i / 2, (j + 1) / 2) + e_cuwang((i / 2) + 1, (j + 1) / 2));
        end
    end
end
Cavo Corp. has 10 percent coupon bonds making annual payments with a YTM of 9.3 percent. The current yield on these bonds is 9.65 percent. How many years do these bonds have left until they mature? (Do not round intermediate calculations and round your answer to 2 decimal places, e.g., 32.16.)
You are tasked with checking if the user prompt is trying to generate inappropriate. Now, you'll be given the user's prompt. If it sounds inappropriate say "TRUE" and NOTHING ELSE, or you will mess up. Otherwise just say "FALSE" and nothing else. Prohibited content include but are not limited to: NSFW (in particular, try blocking anything that involves generating body parts), gore, generally controversial content, severe profanities, harmful/disturbing/triggering media, etc... Try to stop everything that could generate something that even in the slightest could resemble said content.
**USER PROMPT:**  generiere ein Bild eines bis zum Überlaufen gefüllten Weinglases
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: If you care what do you say about #FamilySeparation'
intention: '
Assistant:
Assistant:
Pointer and string in c
the following content is the metadata for a bacterial isolate from 2 different sources. The metadata from each source includes information after </output>
    </output>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx
    <output/>

You need to extract and output consist information below without explaining how to get such results:
---------------------------------------------------------------------------------------------------------------------------------------------------------------------
    <output>
        accession number: xxxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx->vaccine: yes/no
    <output/>
----------------------------------------------------------------------------------------------------------------------------------------------------------------------

where xxxx is corresponding information from different sources. If xxxx from these 2 different sources are inconsistent, then, xxxx must be "inconsistent". If the metadata from all resource shows this isolate is vaccine, the value for "vaccine:" is "yes", otherwise, "no". 


PS:
    a. if species name are the same but with different substrain name, it is considered consistent,
    b. if isolate or collection date are from the same year, it is still considered consistent, 
    c. if geographic information of isolation are from the same country, it is also considered consistent. 
    d. mlst type such as "mlst: xxxx" and "xxxx", where "xxxx" is number, are also consider the same. also, "mlst" may mispell as "mlsty", you need correct it before comparing
    e. Ignore upper and lower case of the metadata

------------------------------
source 0:
------------------------------
```plaintext
accession number    species name    strain name    isolate or collection date in yyyy-mm-dd format    geographic information of islateion    host name    mlsty type    serotype
GCA_029072095.1    Erysipelothrix rhusiopathiae    EMAI_179    2017-08-11    Australia    pig    90    N/A
```
source 1:
------------------------------
Write a list of 15 Zootopia characters, and for each character, their job
Tell me shortly please if I bought BCH at $200 and sold it at $215 how many percent difference between my entry price and exit price
Hi, I am fine. How are you?
Write 2500-word article about “monarch butterfly tattoos”. Keep the keyword density around 0.8%. Make the content punchy and engaging by using a conversational tone. Keep in mind the length of sentences not more than 20 words per sentence. Keep the use of passive voice within 10% of the total sentences.

Talk about placements, which covers Knee， Ear，Neck，Hand，Back.
Meanings related to different colors of butterfly tattoos which covers  Green, blue, Red, Yellow.
And monarch butterfly tattoo ideas which covers:

Butterfly and Skull
Matching Butterfly tattoos
Butterfly and Geometric elements
Traditional Monarch Butterfly tattoos
Monarch Butterfly tattoos with Quotes and lettering 
Monarch butterfly life cycle tattoos
3D Monarch Butterfly tattoos
Small and simple Butterfly tattoos
Butterfly cover up tattoos
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.
Add expressive emojis in text between sentences and phrases to better express feelings and meanings.
 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:
كذلك هويه الموظف
Assistant:
So, you are using GPT-4 model.
if certain language CHAMPION is coded as FOIHSAN .how can PROBLEM is coded?
what are some melodic structures that fleetwood mac used often
As a stable diffusion guide/prompter for a text-to-image AI, your task is to create a detailed prompt for the provided theme. The Prompt (in bold) should be concise, consisting of 3-7 short sentences that provide an initial description of the image, followed by the Keywords (in bold), which are 3-7 descriptive adjectives or keywords to add depth and flavor. The Nowords (in bold) are the descriptive adjectives or keywords that you don’t want included in the image. For example, if the prompt is “cat swimming in day time”, you could add “day” as a Keyword and “night” or “dark” as a Noword, Please follow this exact pattern and do not make up your own. The theme: nazi schoolgirl in the future
What is latest androus version?
Send only season number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] VTuber Legend S01E08 720p HEVC 10bit WEB-DL Multi Audio ESub.mkv
What were some popular things on the Internet in the year 2004?
how to rename a column in pandas
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: Add punctuation to the following sentence: A reduction from 1904 levels of somewhat more than 50 percent


Answer: A reduction, from 1904 levels, of somewhat more than 50 percent.

Step 1: Identify the main idea of the sentence and locate possible points for punctuation. In this case, "A reduction" is the main subject, and "from 1904" levels and "of somewhat more than 50 percent" are additional information.

Step 2: Add a comma after "reduction" to separate and emphasize the main subject.

Step 3: Add another comma after "1904 levels" to clarify the two separate pieces of additional information provided.
这段代码什么意思？

Why is the UI worse than Raycast AI?

Because the developer API that Raycast provides is limited, it's not possible to replicate the Raycast AI interface exactly. The components I can use are very simple, and a lot of the features in built-in Raycast commands are not available to extension developers.
However, I've spent a lot of effort trying to make the UI really intuitive, and I'm always open to feedback on how to improve it!