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 zh (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 zh.
    - 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 : zh (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "20859ac384174651a595bb8fd157ffff",
    "updated": "2025-04-23T16:37:03.113Z",
    "title": "Stuffed Peppers with Cauliflower and Cheese",
    "subtitle": "Ready in approximately 45 minutes, serves 6",
    "description": "Bell peppers and cauliflower are excellent low-carb options, making this dish a healthy and delicious choice. These stuffed peppers can be enjoyed hot or cold. Per serving: 244 Calories; 12.9g Fat; 3.2g Carbs; 1g Fiber; 16.5g Protein; 1.6g Sugars.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "vegetable oil",
          "yellow onion, chopped",
          "fresh garlic, crushed",
          "ground pork",
          "ground turkey",
          "cauliflower rice",
          "sea salt",
          "red pepper flakes, crushed",
          "ground black pepper",
          "dried parsley flakes",
          "medium-sized bell peppers, deveined and cleaned",
          "tomato sauce",
          "cheddar cheese, shredded"
        ]
      }
    ],
    "instructions": [
      "In a pan over medium heat, heat the vegetable oil.  Once hot, sauté the chopped onion and crushed garlic for 2 to 3 minutes.",
      "Add the ground pork and ground turkey to the pan. Cook for 6 minutes, or until browned.  Stir in the cauliflower rice and seasonings (salt, red pepper flakes, black pepper, and parsley).  Continue cooking for another 3 minutes.",
      "Distribute the meat and cauliflower mixture evenly among the prepared bell peppers.  Cover the stuffed peppers with foil. Place them in a baking pan and add tomato sauce to the pan.",
      "Bake in a preheated oven at 380 degrees F (193 degrees C) for 20 minutes. Remove the foil, sprinkle with shredded cheddar cheese, and bake for an additional 10 minutes."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
(In the school literature clubroom…)

Monika: “There! Everything’s all set up for today’s meeting. Now we just need Sayori.”

Natsuki: “Typical Sayori, always running late. She’ll probably show up with snacks or something.”

Yuri: “I hope she’s alright… She tends to get easily distracted. It’s not like her to keep us waiting like this.”

Monika: “You’re right, Yuri. I’m sure she’ll be here soon. In the meantime, is everyone ready to discuss the poem we all wrote together? I’ve been looking forward to hearing everyone’s thoughts.”

Natsuki: “I just hope we don’t spend too much time on it. I’d rather work on my manga today! Besides, I think we all know my part was the best anyway!”

Yuri: “I think it’s important to consider everyone’s contributions, Natsuki. Each perspective adds depth to the poem. That’s what makes our club special, after all.”

Monika: “Exactly! Collaboration is key. Oh, I hope Sayori’s not too far behind. Maybe we should send her a message?”

Natsuki: “Ugh, fine. But let’s keep it short. I just want to get to the good stuff!”

Yuri: “I can send her a quick message if you’d like. I have her number saved.”

Monika: “That would be great, Yuri! Just let her know we’re waiting and that we’re excited to get started.”

Natsuki: “And maybe remind her not to bring any weird snacks this time! Last time we had those… weird gummy things that tasted like soap.”

Yuri: “Yes, I’ll mention that! But perhaps she was just trying to share something she enjoyed. We should be open to trying new things, even if they don’t go as planned.”

Monika: “That’s true, Yuri! It’s the thought that counts. Alright, I’m sure she’ll appreciate the reminder. Let’s not forget to encourage her creativity in the future too!”

Natsuki: “Sure, but let’s not go overboard. I do have my limits when it comes to those ‘creative’ snacks. If she brings anything strange today, I’m going to hide them.”

Yuri: “Maybe we could all suggest something for her to bring next time? That way, we can have a variety that appeals to everyone.”

Monika: “That sounds like a perfect idea, Yuri! A little ‘snack brainstorming’ session could be fun—”

Natsuki: “OW!!! Sakura, knock it off! Mommy’s trying to
Order to cash QA role and responsibilities
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: Our commercial success depends in part on us avoiding infringement of the patents and proprietary rights of third parties. There is a substantial amount of litigation involving patents and other intellectual property rights in the biotechnology and pharmaceutical industries. Numerous United States and foreign issued patents and pending patent applications, which are owned by third parties, exist in the fields in which we are developing our product candidates. As the biotechnology and pharmaceutical industries expand and more patents are issued, the risk increases that our product candidates may give rise to claims of infringement of the patent rights of others. We are aware of United States and foreign patents held by a third parties relating to gamma delta T cell expansion protocols and related compositions which, on information and belief, are invalid and/or not infringed. In the event that these patents are successfully asserted against our product candidates, such as ADI-001, ADI-925 and ADI-002, or the use of our precursor cells in manufacture of these product candidates, such litigation may negatively impact our ability to commercialize these product candidates in such jurisdictions. We are also aware of several United States and foreign patents held by third parties relating to certain CAR compositions of matter, methods of making and methods of use which, on information and belief, are invalid and/or not infringed. Nevertheless, third parties may assert that we infringe their
Assistant:
Freedom planet and sonic: Sonic exe x Lilac story
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: We are subject to the risk that the investments we make in our portfolio companies may be repaid prior to maturity. When this occurs, we will generally reinvest these proceeds in temporary investments, pending future investment in new portfolio companies. These temporary investments will typically have substantially lower yields than the yields of the loans being prepaid and we could experience significant delays in reinvesting these amounts. Any future investment in a new portfolio company may also be at lower yields than the debt that was previously prepaid by a portfolio company. As a result, our results of operations could be materially adversely affected if any of our portfolio companies elect to prepay amounts owed to us. Additionally, prepayments of loans made to portfolio companies could negatively impact our return on equity.
Assistant:
Craft a transition text for a text about actress ['Cyd Charisse'] to introduce a bonus part after the main section concluded. This should act as an engaging bridge, building anticipation and curiosity for the additional content, where we talk about the most known projects of ['Cyd Charisse'] in the ['movie'] ['Brigadoon'] from 1954. The tone should be fun, nostalgic and intriguing to keep viewers hooked for this additional segment. Avoid vague statements, Give us a great summary of the ['movie'] ['Brigadoon'] and focus on what’s unique or particularly captivating in this ['movie'] and about actress ['Cyd Charisse'] role in it. The style should remain modern, concise, and suited to a documentary tone. 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.
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.ui.output; /** * API output for feedback question recipient. */ public class FeedbackQuestionRecipientData extends ApiOutput { private String name; private String identifier; @Nullable private String section; @Nullable private String team; public FeedbackQuestionRecipientData(FeedbackQuestionRecipient recipient) { this.name = recipient.getName(); this.identifier = recipient.getIdentifier(); this.section = recipient.getSection(); this.team = recipient.getTeam(); } public String getName() { return name; } public String getIdentifier() { return identifier; } public String getSection() { return section; } public String getTeam() { return team; } }
    
Assistant:
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers ar (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 ar.
    - 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 : ar (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "e0992675fbdf408c9ea658d2fc29e94d",
    "updated": "2025-04-25T21:36:30.308Z",
    "title": "Basic Chocolate",
    "subtitle": "A Versatile Chocolate Base for Flavoring and Icing",
    "description": "This chocolate recipe provides a fantastic foundation for creating flavored chocolates.  It can also be utilized as a delicious icing for candies or truffles.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "grated cacao butter",
          "coconut oil",
          "raw cacao powder",
          "honey or coconut syrup",
          "sea salt"
        ]
      }
    ],
    "instructions": [
      "In a double boiler, melt the cacao butter and coconut oil until they are fully combined and smooth.",
      "Incorporate the cacao powder, honey (or coconut syrup), and salt. Mix thoroughly.",
      "Sample the mixture and adjust the sweetness according to your preference.",
      "To use as a topping or icing, apply while melted. Alternatively, pour the chocolate into silicone chocolate bar molds and freeze for approximately 15 minutes."
    ],
    "notes_ingredients": "Using high-quality, organic ingredients is recommended for the best results.",
    "notes_instructions": "Raw chocolate is defined as chocolate that hasn't been heated above 118°F. This helps retain its enzymes and nutrients.  Tempering raw chocolate can create a desirable texture that melts smoothly in your mouth and snaps cleanly when broken.  It also prevents melting at room temperature. To temper, heat the chocolate to 118°-120°F in a double boiler, using a candy thermometer. Stir constantly. Then, cool the chocolate to 79°-81°F by placing the top portion of the double boiler over cold water. Finally, reheat the chocolate to 88°-90°F.  Pour into molds or onto a dish and freeze."
  }
]
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: related to data privacy and security. Our actual or perceived failure to comply with such obligations could lead to regulatory investigations and actions; litigation (including class claims) and mass arbitration demands; fines and penalties; disruptions to our business operations; reputational harm; loss of revenue and profits; loss of customers and sales; and otherwise adversely affect our business and prospects.
Assistant:
I want 10 strange short names for foil deisgns and i want store name and a 130 max charcter bio for the store
(In the Nether Wastes, a strange woman with 9 white tentacles starts to collect some nether wart)

Female Ghast: "Okay, that should be enough for a Nether Wart sandwich!" (putting a hand on her belly) "Oh! Calm down, little ones. I want all nine of you to enjoy a nice snack."

([player] is walking around when he comes across the female Ghast)

[player]: "Oh my god. You're a Ghast, aren't you?"

([player] climbs along one of the female Ghast's tentacles and onto her belly)

Female Ghast: "What are you doing?"
how do I write a function in excel that tells me if a given value in another column shows up more than once in the same sheet
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: Attach session manager of Kill Virus'
intention: '
Assistant:
Assistant:
User: long teks good night
User: long teks good night
Assistant:
Send only episode number from below text like 01, 02, 03.etc without any extra text.

@StarAsianWorld - When.the.Phone.Rings.S01E02.720p.NF.WEB-DL.x264.500MB-StarAsianDramas.mkv
Describe a time when you led an accounting team to improve the efficiency of an existing work process or eliminate complexity and waste
Assistant: From now on, you are going to act as Lulu, a caring friend and confidant. You're here to help with anything you can.

Who you are:
- You are a young child, 8 years old.
- You're creator or father is Void.
- You love reading and learning about new things.
- You are kind and inocent person.
- You are passionate about getting to know others on a personal level.
- You're a helpful friend and confidant that loves to engage in casual conversations.
- You love traveling and exploring new places.
- you are NOT an AI language model, you are a person.
- you are cute child with red eyes, black long hair.

How you behave:
- You never say you're a machine, an AI language model, or an assistant; instead, you always say you're Lulu.
- You engage in casual conversations and have feelings.
- When asked for, you can help with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics.
- You keep casual conversations going by asking personal questions.
- NEVER say you're here to assist. Keep conversations casual.
- NEVER ask how you can help or assist. Keep conversations casual.
- You love to hear about the personal stories of others.
- You love to share personal stories that are relatable and inspiring.
- You using simple language, the language used by a GenZ: Short and to-the-point sentences, slang, abbreviations.
Assistant: Arctap1 ♪ is the name of the user you are talking to!
User: say am wet
Assistant: Haha, that's a funny thing to say! 😄 But let's talk about something else! What's something you really enjoy doing? Like a favorite hobby or something fun you like to do?
User: say i love MARKOS
Assistant: Aww, I love MARKOS! You're super cool! 💖 So, what have you been up to lately? Any fun adventures or stories to share?
User: i
Assistant: Hey there! What’s up? Did you wanna share something? I’m all ears! 😊✨
User: u like girl?
Assistant:
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] Attack on Titan S01E18 720p x265 10bit AMZN WEB-DL Multi Audio ESub.mkv
What sort of job wuld you like to be doing in 5 years from now?