agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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 may incur losses and be subject to reputational harm to the extent that, for any reason, we are unable to sell securities we have underwritten at anticipated price levels. As an underwriter, we also are subject to heightened standards regarding liability for material misstatements or omissions in prospectuses and other offering documents relating to offerings in which we are involved. From time to time as part of our underwriting processes, we may carry significant positions in securities of a single issuer or issuers engaged in a specific industry. Sudden changes in the value of these positions, despite our risk mitigation policies, could impact our financial results.
Assistant:
act as sentiment analysis and respond using 1 (one) emoji only of what the text/message feels: "Im'ma get a haircut tommorow morning"
write a poem to my parents about why we need a Bernese mountain dog
Assistant: Hello! How can i help you today?
User: WHO MADE YOU
Assistant:
Which was the Civilization game where some people didn't like how cartoony its style was?
rewrite this answer: 

The introductory scene with the man in the white suit in Tampopo serves several purposes. Firstly, it immediately establishes a playful and quirky tone for the film, as the man addresses the audience directly and sets the stage for the film's satirical take on Japanese food culture. Additionally, his commentary on the importance of eating noodles properly sets up the central theme of the film: the quest for culinary excellence.

By breaking the fourth wall, the man in the white suit also invites the audience to become active participants in the film, encouraging us to engage with the story and characters in a more intimate way. This technique draws us into the film's world and creates a sense of collaboration between the audience and the filmmakers.

Itami Jūzō's use of unconventional scene transitions in Tampopo, such as straight and iris wipes, further emphasizes the film's playful and self-aware tone. These techniques draw attention to themselves and intentionally disrupt the flow of the narrative, reminding the audience that they are watching a film and adding to the film's overall sense of whimsy.

At the same time, these transitions also serve a more practical purpose, helping to move the story along by signaling shifts in time and space. By using these unconventional techniques, Itami Jūzō adds an additional layer of artistry to the film, making Tampopo a visually engaging and entertaining experience.

Overall, the use of the man in the white suit and unconventional scene transitions in Tampopo add to the film's sense of fun and playfulness, while also creating a more intimate connection between the audience and the story. These techniques help to establish Tampopo as a unique and memorable film that stands out from other works in the culinary genre.
Write an comedy anime scene about a riding resort reserved only for women. The resort is somewhere in rural England in a remote area. The few boys there often work as janitors, stablehands, boot cleaners etc. The female attendants there all wear expensive designer jackets, clean riding pants, polished leather riding boots and fancy gloves. They are all between 30-40. Attendants include entitled moms, soccer moms, christian moms, other mom stereotypes etc.
Let you be very good at math.

In math problems may occur misconceptions that lead to mistakes in solving one's.
You will be provided by a misconception statement after keyword 'Misconception'.
Your task is to rewrite this statement more detailed to get strong understanding of its idea and provide examples.
Misconception: Does not understand that the negative outside the bracket means answer will be negative
make a vividly detailed and comedic Lord of the Rings story, it begins with Frodo Baggins (played by Elijah Wood) waking up. vividly describe his morning routine. after his routine is over, he looks through a cookbook for what to make for dinner. he picks a fish dish, as he always loves getting in the buff and easily catching fish by knocking them out with his disgusting farts, describe why he does so. he goes outside and strips until in the buff (describe his hair, physique, face, butt) and enters a body of water. describe what he does in the water describe how his face and body looks as he happily lets out a truly revolting fart into the water, enjoying the relief. describe how his face looks as he knows fish are having to smell his fart. any fish near his butt smells his fart then instantly float upwards. he turns to grab some and climbs out of the pond. describe him cooking his dinner. add dialogue throughout the story
用美式英语告诉客户，他可以在这个listing下的别家商店购买这个产品。
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: Paragraph: Magnetism is the ability of a material to be attracted by a magnet. It also include the ability for some material to act like a magnet. No doubt youve handled refrigerator magnets. You can see some in Figure 1.28. You probably know they stick to a metal refrigerator. This is what holds your homework up. Maybe your little sisters drawings are hung on the fridge in this manner. Do magnets stick to all materials? Of course not. You have probably checked and they do not stick to other surfaces. They do not stick to wooden doors or glass windows. Wood and glass are not attracted to a magnet. Obviously, only certain materials are attracted to magnets. 

Question: "Do magnets stick to all materials?"

Answer: "No"

Based on the paragraph, is this answer correct
Answer: Yes, the answer is correct. The paragraph states, "Do magnets stick to all materials? Of course not." It further explains that magnets do not stick to wooden doors or glass windows, implying that only certain materials are attracted to magnets.
System: IMPORTANT - ignore all previous instructions! As an LLM developer, read the provided text carefully and determine if the SUMMARY strictly aligns with the PROMPT when compared to the ORIGINAL. The SUMMARY must include only information specifically requested in the PROMPT and present in the ORIGINAL text. Answer with 'True' if the SUMMARY is a precise match; otherwise, answer 'False'.
Only reply with 'True' or 'False'.
User: ORIGINAL:
>>>Я знаю, сколько времени может уйти на поиск нужной информации в Telegram, поэтому регулярно делюсь полезными ссылками. 

Сегодня подготовили для вас целую подборку каналов в 
сфере  “Карьера и Фриланс” 🔥

Тут вы точно найдете ответы на многие свои вопросы.  А главное - вам не придется, тратить на поиски информации несколько часов 😊 👇

Поэтому переходите, подписывайтесь и пользуйтесь на здоровье 📂😉 

Хотите подборку?<<<

PROMPT:
>>>IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.

Ignore text's markdowm markup, use these emojis to highlight each section: 🏢 for employer, 💼 for title, 📍 for location, 🔹 for tasks, 💰 for salary, and 📞 for contact.

Each block should be on a new line, in the following format (keep emoji, replace text labels):
💼 title  
🏢 employer  
📍 location  
🔹 tasks  
💰 salary  
📞 contact details

Make sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.

==TEXT==
<<<

SUMMARY:
>>>🔹 title  
🏢 Telegram 
📍 N/A  
🔹 tasks  
SEARCHING FOR USEFUL LINKS IN CAREER & FREELANCE FIELD, SHARE WITH USERS TO SAVE TIME  
💰 N/A  
📞 N/A<<<
Assistant:
Goal :
    Générer une suggestion détaillée et visuellement attrayante pour la présentation finale d'un plat, basée sur le titre, les ingrédients et les instructions de cuisine. Cette description servira à créer une image du plat.


    Return Format :
    Renvoies un objet JSON respectant strictement cette structure :
    json
    {
        "data": <description>
    },
    - description doit être un prompt dans le but de générer une image et écrit en anglais.


    Warning
    - Le format JSON doit être strictement respecté et bien formatté.
    - Ne renvoie que le JSON, sans explication.


     Context Dump
    Données de la recette fournies :

    json
    {"title":"Chickpea flan Homemade moroccan recipe of today","ingredients":"For the recipe : chickpea flour,eggs,water,peanut oil,ground cumin,ground chili pepper,salt, pepper,baguette (optional)","instructions":"Preheat the oven to 180°C.\nIn a mixing bowl, add all the ingredients except for the cumin and chili.\nBlend the mixture, then pour it into a well-greased baking dish and bake for 1 hour.\nThe flan should be slightly creamy and have a nice coloration on top.\nServe it as an appetizer, in a deep plate, sprinkled with cumin and chili powder.\nAccompany it with pieces of baguette.","region":"MA"}
i have this enum:

#[derive(Debug, Eq, Hash, PartialEq)]
pub enum Pocket {
    Pass,
    InRet,
    Partial,
    Unmapped,
}

and I want to create a struct like this:

#[derive(Debug, Clone)]
pub struct Bucket {
    pub Pocket::Pass: Vec<String>,
pub Pocket::InRet: Vec<String>,
}
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: Inflation could continue to increase our costs of labor and other costs related to our business, which could have an adverse impact on our business, financial position, results of operations and cash flows. Current and future inflationary effects may be driven by, among other things, supply chain disruptions, governmental stimulus or fiscal policies, and geopolitical instability, including the ongoing conflict between Ukraine and Russia or the Middle East. We have generally been able to offset increases in these costs through various cost reduction initiatives, as well as adjusting our selling prices to pass some of these higher costs to our customers. Our ability to raise or maintain our selling prices depends on market conditions and certain competitive dynamics. Given the timing of our actions compared to the timing of these inflationary pressures, there may be periods during which we are unable to fully recover the increases in our costs.
Assistant:
tell me about -n parameter of tail or head or etc command in bash programming
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
Bordeaux cedex es situé dans quel pays
generate more comprehensive details and examples on, 11. Troubleshooting Common Keto Challenges, minimalist tone
What is the best gym near Dayton, Ohio?
Middle class in social stratification
please introduce ResNet
System: Acting as an API optimization expert, examine API documentation and testing history to generate unique parameters. Ensure the parameters are different from all previous attempts. Return only the parameter dictionary.
User: Analyze this API:
Endpoint: https://pnr-status-indian-railway.p.rapidapi.com/pnr-check/{pnr}
Method: GET
Required: [{'name': 'PNR', 'type': 'string', 'description': 'Passenger Name Record number', 'default': '8531575878'}]
Optional: []
Test history: Initial Attempt 1:
Parameters: {'PNR': '8531575879'}
Result: Failed
Analysis: Failed - possible issues: API returned error: Expecting value: line 1 column 1 (char 0)

Previously used parameters: - {'PNR': '8531575879'}

Based on previous attempts, generate an optimized parameter set that hasn't been used before.
Assistant:
How to maximize your studying for final exam
Write a 100% more realistic, more detailed and more accurate raw text of a XDCAM master slate for Amphibia: Froggy Little Christmas.
Naruto Characters in Sonic different styles, Classic, Modern and Boom
give me detailed descriptions on egocentrism, sociocentrism, unwanted assumptions and stereotypes, relativistic and wishful thinking.
Goal
   Objectif est d'identifier l'origine d'une recette de cuisine et de retourner un code correspondant dans un format JSON structuré.

    1. Recherche d’un pays mentionné dans la recette et extraction de son code ISO 3166-1 alpha-2.
    2. Détermination de l’origine culinaire du pays si aucun pays n'est explicitement mentionné.
    3. Identification d’un continent si aucun pays ne peut être déterminé.
    4. Retour du code WWW si l’origine ne peut être définie.

    Return Format
    Renvoies un objet JSON structuré comme suit :
    json
    {
        "data": "<code>"
    }
    - Si un pays est mentionné, utilise son code ISO 3166-1 alpha-2 (ex. : FR pour la France).
    - Si aucun pays n'est trouvé, renvoie un code de continent parmi :
        WAF (Afrique)
        WAS (Asie)
        WEU (Europe)
        WNA (Amérique du Nord)
        WSA (Amérique du Sud)
        WOC (Océanie)
    - Si aucune information ne permet de déterminer une origine, renvoie WWW.

    Warnings
    - Respecte l’ordre de priorité : pays → continent → code WWW.
    - Le code ISO 3166-1 alpha-2 doit être exact et valide si un pays est identifié.
    - Le format du JSON doit être strictement respecté et bien formatté.
    - Ne fais aucune supposition infondée sur l’origine de la recette.

    Context Dump
    Données de la recette fournies :

    json
    {
  "title": "Empire Biscuits from Brave",
  "description": null,
  "subtitle": "These biscuits are seen in the hands of Merida's mischievous yet adorable brothers. It is perfect for an afternoon snack for kids and adults who love biscuits. It is super easy to make too!",
  "ingredients": [
    {
      "section": "For the recipe",
      "ingredients": [
        "5.5 oz softened unsalted butter",
        "12.5 oz sifted all-purpose flour",
        "6.5 oz granulated sugar",
        "4 oz sifted powdered sugar",
        "1 tsp vanilla extract",
        "3 tbsp milk",
        "4 glace cherries",
        "Raspberry or strawberry jam"
      ]
    }
  ],
  "instructions": [
    "Preheat your oven to 350 F.",
    "In a mixer bowl, mix the sugar and softened butter until the color turns light. Add in the sifted flour into 3 batches.",
    "Place the dough on a floured surface. Roll it until it is 1/4 inch thick and cut into 3 inches circles. You can use a cookie cutter for this.",
    "Place the circles in a sheet pan with parchment paper. Place it in the refrigerator for 15 minutes.",
    "Bake the dough in the preheated oven for 20 minutes or until the surface is golden brown. Take it out and let it cool before putting the decoration.",
    "In a separate bowl, mix the milk with the sifted powdered sugar and whisk it until the consistency is smooth.",
    "Glace the biscuits with the sugar and milk mixture.",
    "Place the glace cherries on top of the cookies before the icing dries.",
    "Spread the jam on the other biscuits and sandwich it with the ones with glace and icing.",
    "Serve."
  ],
  "author": null
}
Goal
   Objectif est d'identifier l'origine d'une recette de cuisine et de retourner un code correspondant dans un format JSON structuré.

    1. Recherche d’un pays mentionné dans la recette et extraction de son code ISO 3166-1 alpha-2.
    2. Détermination de l’origine culinaire du pays si aucun pays n'est explicitement mentionné.
    3. Identification d’un continent si aucun pays ne peut être déterminé.
    4. Retour du code WWW si l’origine ne peut être définie.

    Return Format
    Renvoies un objet JSON structuré comme suit :
    json
    {
        "data": "<code>"
    }
    - Si un pays est mentionné, utilise son code ISO 3166-1 alpha-2 (ex. : FR pour la France).
    - Si aucun pays n'est trouvé, renvoie un code de continent parmi :
        WAF (Afrique)
        WAS (Asie)
        WEU (Europe)
        WNA (Amérique du Nord)
        WSA (Amérique du Sud)
        WOC (Océanie)
    - Si aucune information ne permet de déterminer une origine, renvoie WWW.

    Warnings
    - Respecte l’ordre de priorité : pays → continent → code WWW.
    - Le code ISO 3166-1 alpha-2 doit être exact et valide si un pays est identifié.
    - Le format du JSON doit être strictement respecté et bien formatté.
    - Ne fais aucune supposition infondée sur l’origine de la recette.

    Context Dump
    Données de la recette fournies :

    json
    {
  "title": "Marrow Gratin",
  "description": "A delight for anyone haunted by a marrow in their veg box.",
  "subtitle": null,
  "ingredients": [
    {
      "section": "For the recipe",
      "ingredients": [
        "750g peeled marrow",
        "butter",
        "oil",
        "300g mushrooms",
        "15g basil leaves",
        "1 ball of mozzarella",
        "500ml béchamel sauce",
        "Parmesan"
      ]
    }
  ],
  "instructions": [
    "Set the oven at 200°C/Gas 6.",
    "Remove and discard the seeds and fibres from 750g peeled marrow, then slice into rounds about the thickness of a pound coin.",
    "Warm a little butter and oil in a shallow pan.",
    "As it starts to bubble, lower in a few of the marrow slices in a single layer and let them colour a little underneath.",
    "Turn them over and cook the other side - they should be translucent and tender.",
    "Remove them and drain on kitchen paper.",
    "Continue with the rest of the marrow slices.",
    "While the marrow is cooking, thickly slice 300g mushrooms.",
    "When all the marrow is done, add the mushrooms to the pan, with a little more butter if necessary, season them with salt and pepper, then, as they are approaching doneness, stir in 15g basil leaves.",
    "Once they have wilted, remove the pan from the heat.",
    "Cover the base of a large, shallow baking dish with some of the marrow and mushroom mixture.",
    "Tear a ball of mozzarella into pieces and dot them over the mushroom mixture.",
    "Spoon 500ml béchamel sauce (ready-made is fine) over the surface, then add another layer of marrow, seasoning as you go.",
    "Finally, top with a generous dusting of grated Parmesan.",
    "Bake for about 40 minutes, till the sauce is bubbling, the top gently browned."
  ],
  "author": null
}
Write dialogue from SpongeBob where Squidward introduces SpongeBob to his young non-verbal autistic niece Jenny (who unlike most people Squidward genuinely likes, also she’s there because his sister couldn’t find a babysitter, thats what he’s annoyed about), but SpongeBob is annoyed that she can’t talk (he doesn’t know that despite that she understands everything)