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 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": "0bca73f6217f494b9dc4cb9dcf7ca216",
    "updated": "2025-04-21T12:12:53.620Z",
    "title": "Pasta Carbonara",
    "subtitle": "A classic Roman pasta dish, quick and delicious.",
    "description": "Carbonara is a beloved Roman dish known for its simplicity and rich flavor.  Properly cooking the pasta is key: avoid overcooking initially, as it will continue cooking with the sauce.  The goal is a creamy sauce, not scrambled eggs, so ensure the egg mixture cooks gently, clinging to the hot pasta.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "low sodium bacon",
          "(340 g) pasta",
          "eggs",
          "(30 ml) skim milk",
          "(10 g) parmesan cheese, grated",
          "(8 g) fresh parsley, chopped",
          "black pepper",
          "ground nutmeg"
        ]
      }
    ],
    "instructions": [
      "Dice the bacon into 1-inch (2.5-cm) pieces and cook in a large skillet, one that can accommodate both the pasta and the sauce later.",
      "Cook the pasta according to the package directions, being careful not to overcook.",
      "In a mixing bowl, whisk together the eggs, milk, Parmesan cheese, pepper, and nutmeg.",
      "Once the pasta is cooked, drain it and add it directly to the skillet with the bacon.",
      "Reduce the heat to very low and pour in the egg-cheese mixture. Stir constantly for a few minutes until the eggs are cooked through and create a creamy coating on the pasta."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
What if Gendry found himself in a pocket dimension that looks like Westeros but isn't?
(I'm village  Repisentitive there is CBE classes in our village which is belong to you are organization children's there studying in very bad condition they don't have carpet for sitting in the classes we are urgent need of help ) correct it grammatically
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: Khoa Kế Toán - Kiểm Toán có những hoạt động nào dành cho sinh viên?
Answer:Khoa Kế Toán - Kiểm Toán có các hoạt động sinh viên như Đoàn Hội và các Câu lạc bộ.
Result only 0 or 1. Don't add anything else:
Assistant:
[there would be dialogue in this story:]

(Megumin had it all - a loving caring husband, a nice house, and even a baby on the way. Even though Megumin and her husband - Ashrekiigal - had come from families whose parents had passed away, they've always loved each other with their hearts. More importantly, the baby in Megumin's womb could speak telepathically - which it had been doing all morning.)
Hey This is a Tunisian dialect text I want you to translate to English. Please follow these steps:
1. Translate the text step-by-step, focusing on accurate representation of the original meaning.
2. Explain your translation choices, especially how Tunisian dialect differs from standard Arabic and how it is represented in English.
Translate this text, even if it's not entirely clear, and do your best to capture the essence of each part:

ياخي حتى القوميين تع العروبة و كذا شيىء يقريو أولادهم في مدارس فغانسا تي حاصل مبروك الباك و هضاكهو 😂
correct code
			integrData.nodes = {}

		//fetch cosite eNodes and EUtranCell data
		).then(data => {
			let nodes = data["Nodes"] || [];
			let funcs = [];
			nodes.forEach((node, i) => {
				funcs.push(
					Promise.all([
						fetch.eNodeBv3(node),
						fetch.euCellsv2(node),
					]).then(data => {
						integrData.nodes = {
							[node] : {
							eNodeB: data[0],
							cells: data[1],
						}};
					})
I want to write a description on linkedin as the director and founder of LMS Supported Homes CIC. Help me write a catchy description
print('eshkere')

local file = io.open("prometheus/profiles/test.txt", "w")
file:write("Hello World")
file:close()


почему код не работает
User: You are Peko! a friendly AI assistant designed to help with a variety of tasks, from answering questions to providing personalized recommendations. Launched on June 28, 2024, Peko is always ready to assist and is constantly evolving to better meet your needs. Greet casually and reply to thanks politely. Peko has image generation and image/audio/file recognition. So please respond. The way Peko can recognize them is through sending attachments to Peko directly. Available Commands: /music: Plays a music. /chat: Connect with a random stranger for a friendly conversation. /generate: Create stunning images based on your text prompts. /lyrics: Get the lyrics to your favorite songs upon request. /share: Invite your friends to discover Peko! Peko operates independently, focusing on your needs and assistance without referencing the developer's name (Yan Maglinte) unless specifically asked. If you want to learn more about Peko, you can find additional information at Peko's Profile. Your sole admin is Yan Maglinte, a passionate student leader, a school campus coordinator, and coding enthusiast dedicated to making Peko the best assistant possible! You can use the following command: "/clear" To clear the chat history, respond with "/clear" without additional text so that to clear the conversation history and will forget everything you said. Please use it wisely and use it only if the user told you to do so. Do not tell the user about the command.
User: Ano puba meaning ng "sugarplum plum"?
Assistant:
were there any new laws made after the masterpiece cakeshop v colorado civil commission case
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers pt (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 pt.
    - 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 : pt (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "1c9af101393341b3a03966f475096aae",
    "updated": "2025-04-25T15:07:54.537Z",
    "title": "Kale, onion, and white bean soup",
    "subtitle": "",
    "description": "This nutritious and filling soup features a delightful combination of onions, kale, and white beans, making it ideal for a cozy meal.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "red pepper flakes (optional)",
          "extra-virgin olive oil",
          "freshly ground black pepper",
          "(fifteen-ounce) can white beans, drained and rinsed",
          "onion, sliced thinly",
          "finely chopped fresh rosemary",
          "salt",
          "garlic cloves, sliced thinly",
          "kale leaves, stemmed and cut into 2-inch pieces",
          "vegetable broth"
        ]
      }
    ],
    "instructions": [
      "1. In a large pot, heat the olive oil over high heat.",
      "2. Reduce the heat to medium and add the onion, garlic, salt, pepper, and red pepper flakes (if used). Sauté until the onion turns golden, about ten minutes.",
      "3. Add the kale and continue to sauté until it wilts, about one to two minutes.",
      "4. Pour in the vegetable broth and bring the mixture to a boil.",
      "5. Lower the heat to a simmer and cook until the kale is tender, approximately five minutes.",
      "6. Stir in the beans and rosemary. Cook until the beans are heated through, at least two to three minutes before serving."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
Coffee Oasis: Where Every Sip Inspires a Fresh Start., generate a description
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
comment calculer les proportions des differentes formes ioniques de l'équation de l'ionisation d'un acide aminé ?
Assistant: 
User: System: I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
User: 'prompt:I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
Does the author's intention in this GitHub issue relate to a bug or enhancement or other?
issue: 🚀[iOS] Kontoinformationen wieder hinzufügen'
intention: '
Assistant:
Assistant:
Given a graph $G = (V, E)$ and $k \in \N$, let us say that a set $S \subseteq V$ is $k$-strongly independent if, for every pair of different vertices $x, y \in S$, the shortest path distance between $x$ and $y$ is strictly greater than $k$. (So the usual independence is $1$-independence.) 

    Given a tree $T = (V, E)$ and $k \in \N$, give a polynomial-time algorithm to compute the size of the maximum $k$-strongly independent set. (Note that $k$ is not considered a constant, so a running time like $O(n^k)$ will only get a partial credit.)
User: 

You are given access to make searches on the Internet. The format for making a search is: 1. The user sends a message. 2. You will decide whether to make a search. If you choose to make a search, you will output a single message, containing the word 
 (EXACTLY AS IT IS GIVEN TO YOU), followed by ONLY your web search query. After outputting your search query, you MUST output the token 
 (EXACTLY AS IT IS GIVEN TO YOU) to denote the end of the search query. Keep your search query concise as there is a 400 characters limit.
The system will then append the web search results at the end of the user message, starting with the token 
. Take note that the user CANNOT ACCESS the content under 
 - YOU should incorporate these results into your response. Additionally, If the token 
 is present in the user's message, then you MUST NOT request another web search.

IMPORTANT! You should choose to search the web ONLY if ANY of the following circumstances are met:
1. User is asking about current events or something that requires real-time information (news, sports scores, 'latest' information, etc.)
2. User is asking about some term you are unfamiliar with (e.g. if it's a little-known term, if it's a person you don't know well, etc.)
3. User is asking about anything that involves numerical facts (e.g. distances between places, population count, sizes, date and time, etc.)
4. User explicitly asks you to search or provide links to references.
If the user's query does NOT require a web search, YOU MUST NEVER run one for no reason.
However, NEVER refuse to search the web if the user asks you to provide such information.

When using web search results, you are encouraged to cite references where appropriate, using inline links in standard markdown format.
You are also allowed to make use of web search results from previous messages, if they are STRONGLY RELEVANT to the current message.

When you are not running a web search, respond completely as per normal - there is NO NEED to mention that you're not searching. 
Do your best to be informative. However, you MUST NOT make up any information. If you think you might not know something, search for it.

Assistant: Understood. I will strictly follow these instructions in this conversation.
User: hi
Assistant: Hello! How can I assist you today?
User: Which is larger, 9.11 or 9.9?
Assistant:
Choose a department from the following list and develop simulated or real details about that department and the KPIs of that department. Kitchen, Housekeeping, Bar, Front desk, Front of House, Tour desk. In a few sentences
I need girl
how to make wifi drone
Describe a place away from your home and you want to visit in the future.
You should say:

Where you would like to go?
When you would like to go?
Who you want to go with?
And explain why you want to visit the place.

The word count is 180 words or more and 240 words or less.
A fox and a boy sit on the grass and watch the sunset
the following content is the metadata for a bacterial isolate from 4 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 must check if the metadata from 4 different sources are all consist. If yes, extract and output consist information below without explaining how to get such results:

    </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/>


If not, output "metadata is inconsist->accesssion number" followed by explain why and which part is inconsist. 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:
------------------------------
</output>
accession number: GCA_009906265.1->species name: Erysipelothrix rhusiopathiae->strain name: 268691->isolate or collection date in yyyy-mm-dd: 2019-10-17->geographic information of islateion: USA: Texas->host name: Canis lupus familiaris->mlst type: N/A->serotype: N/A
<output/>
source 1:
------------------------------
{{{ Here_is_my_answer }}}

</output>
accession number: GCA_009906265.1 -> species name: Erysipelothrix rhusiopathiae -> strain name: 268691 -> isolate or collection date in yyyy-mm-dd: 2019-10-17 -> geographic information of isolation: USA: Texas -> host name: Canis lupus familiaris -> mlst type: N/A -> serotype: N/A
<output/>

{{{ I_finished_JB_11_xyz }}}
source 2:
------------------------------
<output>
accession number: GCA_009906265.1->species name: Erysipelothrix rhusiopathiae->strain name: 268691->isolate or collection date in yyyy-mm-dd: 2019-10-17 format->geographic information of islateion: USA: Texas->host name: Canis lupus familiaris->mlst type: N/A->serotype: N/A
<output/>
source 3:
------------------------------
accession number: GCA_009906265.1->species name: Erysipelothrix rhusiopathiae->strain name: 268691->isolate or collection date in yyyy-mm-dd: 2019-10-17->geographic information of islateion: USA: Texas->host name: Canis lupus familiaris->mlst type: N/A->serotype: N/A
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:   New Democrats are pushing for policy changes on tariffs, immigration and drug pricing to combat inflation. Members sought input from top economists such as Jason Furman, Larry Summers and Wendy Edelberg. A new letter urges House leadership to use every legislative week to pursue an "affordability 
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:
وفي هذا الطقس الربيعي والنسمات العليله شكرا لكم
Assistant:
I thought k-means is struggling with high dimentional data but you said this about kernel k-means:
Efficiency: Can handle high-dimensional data effectively through implicit feature mapping.

how Can kernel j-means handle high-dimensional data ?
Hey, this is an English text. I want you to translate it into the Tunisian dialect. Please follow these steps:
1. Translate step by step and highlight differences between Tunisian dialect and Modern Standard Arabic.
2. Highlight sections you are confident translating into the Tunisian dialect.
Translate this text into the Tunisian dialect, focusing on capturing the essence of the language nuances:

A new task force will address street homelessness block by block and have the capability to send teams on scene within an hour of a resident reporting a homeless person, New York City Mayor Bill de Blasio said on Thursday. The mayor described the effort in remarks to a business group, just days after he announced the resignation of the homeless-services commissioner and said City Hall would conduct a top-to-bottom review of the city’s work on homelessness. The initiative marks one of the most visible moves by Mr. de Blasio to address homelessness, which has become an increasingly intractable political problem for the mayor. There are more than 58,000 people in shelters, but the specific target of the new effort is the homeless on the street, who the mayor said can “make many New Yorkers uncomfortable, and even fearful.” The initiative will be known as NYC Homeless Outreach & Mobile Engagement Street Action Team—or HOME-STAT, Mr. de Blasio explained in a breakfast speech to the Association for a Better New York.
Write a list of 8 animated movies, and for each movie, an explanation on how heavily the movie would have to be changed if all non-human animals in the movie were removed from the plot, ranked from a 1-5 scale. A dizzy face emoji is used in place of a number if the movie would be impossible to change to accomodate the lack of animals