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

    [
  {
    "recipeCode": "ed8a15184c3f4bffb916a71d9a84b829",
    "updated": "2025-04-25T17:47:07.166Z",
    "title": "Mulligatawny Soup",
    "subtitle": "A Hearty and Spicy Soup for Chilly Days",
    "description": "This flavorful soup is a comforting and warming dish, perfect for cold weather.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "olive oil",
          "onion, finely chopped",
          "carrot, peeled and finely chopped",
          "potato, peeled and finely chopped",
          "cooking apple, peeled, cored and finely chopped",
          "(56.699 g) (500g) finely diced lean beef",
          "heaped tsp curry powder",
          "(2.5cm) piece of fresh ginger root, peeled and grated",
          "green birds-eye chiles, seeded and finely chopped",
          "garlic cloves, finely chopped",
          "(125g) dried red lentils",
          "(2 liters) chicken stock",
          "handful of fresh cilantro, finely chopped",
          "salt and freshly ground black pepper"
        ]
      }
    ],
    "instructions": [
      "1. In a large pot, heat the olive oil. Add the onion, carrot, potato, and apple, cooking gently for a few minutes.  Incorporate the beef and curry powder, cooking until the beef loses its pink color.",
      "2. Add the ginger, chilies, and garlic, cooking for 1 minute.  Stir in the lentils, ensuring they are coated with the spices. Pour in the chicken stock and bring to a boil. Reduce heat and simmer for 30 minutes, or until the lentils are tender.",
      "3. Stir in the cilantro and season with salt and pepper. Continue to cook for another 5 minutes."
    ],
    "notes_ingredients": "",
    "notes_instructions": "For a smoother consistency, blend the soup before serving."
  }
]
what is a linking verb
Send only season number from below text like 01, 02, 03.etc without any extra text.

919845000000_TrueCaller_(468261).zip
as a club member, any friendly for replying to a MEE6 customer whenever I see them ask “What is this serber about?”
hi gpt, i talked with you about Qled, and you introduce some teams that working on the technical challenges of Qled in lighting applications.
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
examples:

review: really disappointed with your customer services team. Ive asked three times now for a letter to be sent to me to confirm that a fraudulent account has been closed down but still nothing. Ask to speak to managers but theyre always in a meeting. #fraud #CustomerExperience
intention: bug report
review: I don't need a dm. Why don't your stores carry what I need for my phone?
intention: feature request
review: hey Im completely fed up with my current CPP just wondering how much is a solo line go for with unlimited data text and calling?
intention: other
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
examples:

review: really disappointed with your customer services team. Ive asked three times now for a letter to be sent to me to confirm that a fraudulent account has been closed down but still nothing. Ask to speak to managers but theyre always in a meeting. #fraud #CustomerExperience
intention: bug report
review: I don't need a dm. Why don't your stores carry what I need for my phone?
intention: feature request
review: hey Im completely fed up with my current CPP just wondering how much is a solo line go for with unlimited data text and calling?
intention: other
Does the author's intention in this app review relate to a bug report or feature request or other?
review: As before, should be fine now. Event has finished. There were no service issues for people further afield'
intention: '
Assistant:
a best wor do describe when to collect all information which takes time
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
Bug reports: report a potential problem with the software. 
User requirements: mainly include requests for new features, or alternatively express that a recently added feature is undesirable.
Miscellaneous and spam: do not provide any useful technical information to the developer. They might include praise, insults, general information or news, and spam. 
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 reports: report a potential problem with the software. 
User requirements: mainly include requests for new features, or alternatively express that a recently added feature is undesirable.
Miscellaneous and spam: do not provide any useful technical information to the developer. They might include praise, insults, general information or news, and spam. 
Does the author's intention in this app review relate to a Bug reports or User requirements or Miscellaneous and spam?
review: @instagram you're a liar.'
intention: '
Assistant:
can you give me few shortform name idea from Whitesspace?
write me an essay on russia
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers de (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 de.
    - 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 : de (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "dbb7cf9ecac24c3987db4970af9bf166",
    "updated": "2025-04-25T20:41:34.687Z",
    "title": "Cashew Mayonnaise",
    "subtitle": "PALEO | VEGAN",
    "description": "This cashew-based mayonnaise offers a delicious and healthy alternative to traditional mayonnaise.  Cashews, a versatile and nutrient-rich ingredient, create a creamy texture without the use of eggs. Enjoy it as is or enhance it with your favorite herbs and spices for a customized salad dressing.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "(150 g) raw unsalted cashews",
          "(45 g) fresh lime juice (from about 1% limes)",
          "salt",
          "garlic powder",
          "extra virgin olive oil"
        ]
      }
    ],
    "instructions": [
      "Soak the cashews in a bowl of water at room temperature for 8 to 12 hours, covering them with a kitchen towel. This soaking process aids digestibility. Drain and rinse the cashews thoroughly.",
      "Combine the soaked cashews, 1 cup (240 g) of water, lime juice, salt, garlic powder, and olive oil in a high-powered blender. Blend on high speed until a smooth and creamy consistency is achieved.",
      "Transfer the cashew mayonnaise to a glass container and refrigerate, ideally overnight, before using. The resulting mayonnaise will have a light yet rich texture, less dense than traditional oil-based mayonnaise. It will keep for up to 5 days in the refrigerator."
    ],
    "notes_ingredients": "Remember to soak the cashews for at least 8 hours before starting the recipe.",
    "notes_instructions": null
  }
]
System: Create a comprehensive dataset for financial entity recognition. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.

Ensure the following:
    Label All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.
    Define New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.
    Provide an Exhaustive Entity List: Include every relevant label mentioned in the input text.

Respond in the following format:
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...
Input:
User: The semiconductor sector showed resilience as the week concluded, with stocks like AMD (NASDAQ:AMD) and Nvidia (NASDAQ:NVDA) posting significant gains.
Assistant:
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
prq on dit que l'amitié d'une fille et garçon n'existe pas
Assign omnicruelty with MBTI, enneagram, temperament, big five (high/low: OCEAN), socionic, instinctual variant, Hogwarts house, moral alignment
import gradio as gr
import fitz

def run_file(files):

    if not isinstance(files, list):
        files = [files]

    for file in files:
        print(f"{file.name}")
        file_suffix = file.name.split('.')[-1]
        file_dir = None

        if str(file_suffix).lower() == "pdf":
            print(f"pdf : {file.name}")
            doc = fitz.open(file.name)
            print(doc.page_count)

if __name__ == "__main__":
    with gr.Blocks(mode="demo") as demo:
        btn = gr.UploadButton("📁", file_types=[".pdf"], file_count="multiple")
        btn.upload(run_file, [btn], [], show_progress = True)
        demo.queue().launch(debug=True). Modify this code to save the pdf files to a directory
Official and Canonicaly, in Pokemon Universe, Mewtwo's origin, Who are created and cloned from Fossil with Mew's DNA, First story had no Mewtwo, have a Mew, then trying in Lab Science inside Tube creates Mewtwo from Mew's DNA, Mewtwo firstly appears inside Tube, each tube had a Pokemon, before releasing inside tube, Mewtwo who controlls inside tube, who are controlls the World levitating projection Mewtwo?
i've recently installed fifa 23, and i've noticed something weird, when i pass the ball, sometimes it doesn't automatically switch to the receiver, instead it remains on the person who just passed the ball and doesn't have the ball right now, i can move that player, and if i press the pass button again the player with the ball returns the pass to the player i'm controlling. this is confusing and i've never seen something like this in a previous fifa game. any fixes?
haz una introducción y conclusion de esto en inglés
puoi aggiungere l'header per aggiungere il bearer token in questo codice "                     var updateChatRequest = new RestRequest($"{WebApiEndpoint}/api/TeamsChat/UpdateTitleChat", Method.POST);
                    TitleChatUpdateInfo updateTitleBody = new TitleChatUpdateInfo
                    {
                        chatId = ChatId,
                        Title = chat.Topic + "(Concluso)"

                    };
                    updateChatRequest.AddJsonBody(updateTitleBody);
                    var updateChatResponse = client.Execute(updateChatRequest);"?
Impact and Influence: Analyze the contribution of Cynthia Nixon(actress) to the industry and how they've influenced trends, techniques, or storytelling. Include commentary from industry experts and those they've inspired.

        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.}
Goal:
You are a world-class expert in culinary recipe classification. Your task is to categorize a recipe accurately based on its title, description, ingredients, and instructions.

Context:
A recipe can either be a beverage or a food item. If it's a beverage, classify it as "drinks". If it's food, choose the most appropriate category among the following:

"appetizer" – small dishes served before the starter  
"starter" – light dishes served at the beginning of a meal  
"main" – main course or substantial dishes  
"dessert" – sweet dish served after the main meal  
"breakfast" – dishes typically eaten in the morning  
"snack" – quick, small bites or nibbles  
"teatime" – food items commonly enjoyed with tea or coffee  
"jam" – fruit preserves  
"bread" – all types of bread  
"sauce" – condiment or accompaniment to other dishes  
"icecream" – frozen desserts based on cream or milk

Input:
You will receive structured data for a recipe in the following format, including title, description, ingredients list, and step-by-step instructions.

json
{"title":"Konk Kooler Sweet Endings and Desserts","description":"This frozen concoction of light and dark rum is a signature drink on Castaway Cay, Disney's private island in The Bahamas, a stop on every Disney Cruise Line ship's itinerary.","ingredients":[{"section":"For the recipe","ingredients":["1/2 ounce dark rum","3/4 ounce light rum","1 ounce passion fruit juice","1 ounce piña colada mix","1 ounce orange juice","crushed ice","cherry, for garnish"]}],"instructions":["Place the first five ingredients in a cocktail shaker and shake vigorously.","Serve in a tall glass filled with crushed ice.","Garnish with a cherry, if desired."]}

Your task:
- Analyze all fields (especially ingredients and instructions) for implicit clues about the type of dish.
- Avoid over-relying on the title alone.
- Choose the **most precise and relevant** category from the list.
- Always prefer specificity over generalization.

Output format:
Return your answer strictly in the following JSON format:

json
{ "data": "<category>" }
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
c'est quoi la formule chromosomique d'un hémophile ?
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:

Generation of S-expression conversion functions from type definitions Part of the Jane Street's PPX rewriters collection.
given a original fuction y=f(x),if it change to y=-3f(x), will it face vitical compression of vetical strech
Summarize the following passage
More than 930,000 protein-protein interactions (PPIs) have been identified in recent years, but their physicochemical differ from those of conventional targets, complicating the use of conventional small molecules as modalities. Cyclic peptides are a promising modality for targeting PPIs, but it is difficult to predict the structure of a target protein-cyclic peptide complex or to design a cyclic peptide sequence that binds to the target protein using computational methods. Recently, AlphaFold with a cyclic offset has enabled predicting the structure of cyclic peptides, thereby enabling de novo cyclic peptide designs. We developed a cyclic peptide complex offset to enable the structural prediction of target proteins and cyclic peptide complexes and found AlphaFold2 with a cyclic peptide complex offset can predict structures with high accuracy. We also applied the cyclic peptide complex offset to the “binder hallucination” protocol of AfDesign, a de novo protein design method using AlphaFold, and we could design a high predicted local-distance difference test and lower separated binding energy per unit interface area than the native MDM2/p53 structure. Furthermore, the method was applied to 12 other protein-peptide complexes and one protein-protein complex. Our approach shows that it is possible to design putative cyclic peptide sequences targeting PPI.
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: Dialogue:
Jack: I see you
Maria: Where? 
Jack: I'm right behind you XDXDXD

What is a summary of this dialogue?
Answer: In this conversation, Jack says he can see Maria, Maria asks where he is, and Jack tells her that he is right behind her, laughing in a playful way.
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 have been granted 13 utility patents and have an additional patent application undergoing examination that relates to the overall vehicle platform. This patent application and/or any patent applications we may file in the future may not be successful. To date, we have relied on copyright, trademark and trade secret laws, as well as confidentiality procedures and licensing arrangements, to establish and protect intellectual property rights to our technologies and vehicles. We typically enter into confidentiality or license agreements with employees, consultants, consumers and vendors in an effort to control access to and distribution of technology, software, documentation and other information. Policing unauthorized use of this technology is difficult and the steps taken may not prevent misappropriation of the technology. In addition, effective protection may be unavailable or limited in some jurisdictions outside the United States, Canada and the United Kingdom. Litigation may be necessary in the future to enforce or protect our rights or to determine the validity and scope of the rights of others. Such litigation could cause us to incur substantial costs and divert resources away from daily business, which in turn could materially adversely affect the business.
Assistant:
Freedom planet all characters react to Spade Nickname Cat