agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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: The assets attributed to one group are potentially subject to the liabilities attributed to another group, even if those liabilities arise from lawsuits, contracts or indebtedness that are attributed to such other group. While our current management and allocation policies provide that reattributions of assets between groups will result in the creation of an inter-group loan or an inter-group interest or an offsetting reattribution of cash or other assets, no provision of our current Charter prevents us from satisfying liabilities of one group with assets of another group, and our creditors are not in any way limited by our tracking stock capitalization from proceeding against any assets they could have proceeded against if we did not have a tracking stock capitalization. The market price of Liberty SiriusXM common stock, Liberty Formula One common stock and Liberty Live common stock may not reflect the performance of the businesses and assets attributed to the Liberty SiriusXM Group, the Formula One Group and the Liberty Live Group, respectively, as we intend. We cannot assure you that the market price of the common stock related to a group will, in fact, reflect the performance of the group of businesses, assets and liabilities attributed to that group. Holders of Liberty SiriusXM common stock, Liberty Formula One common stock and Liberty Live common stock are common stockholders of our Company as a whole and, as such,
Assistant:
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": "16015695469d448380e20108a170747f",
    "updated": "2025-05-20T06:47:41.565Z",
    "title": "Simple Miso Soup | Misoshiro",
    "subtitle": null,
    "description": "In Japan, a day without miso soup feels incomplete. It is commonly enjoyed at breakfast and also served at lunch and dinner. For the mildest flavor and lightest color, white miso is recommended, though darker varieties can be used as well. This recipe includes wakame, a dark green seaweed available dried in packets.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "chopped dried wakame",
          "white miso",
          "ichiban dashi",
          "soft tofu, cubed",
          "scallions, chopped"
        ]
      }
    ],
    "instructions": [
      "Soak the wakame in ½ cup of warm water for 10 minutes. Drain the liquid and set the seaweed aside.",
      "Whisk the miso with ¼ cup of water in a small pot. Heat over medium, stirring constantly, until the miso dissolves completely, about 3 minutes. Remove from heat and set aside.",
      "In a large pot, heat the dashi over medium until nearly boiling. Reduce the heat to medium-low, add the miso mixture, and stir well. Add the wakame and tofu, then simmer gently for about 3 minutes until warmed through.",
      "Serve the soup in 4 bowls and garnish each with chopped scallions."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
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":"Smoked Mackerel with Peas and Edamame null","description":"A smoky, green feast.","ingredients":[{"section":"For the recipe","ingredients":["200g edamame beans in their pods","150g frozen peas","300g smoked mackerel","100g ciabatta bread","3 tablespoons of olive oil","a spring onion"]}],"instructions":["Cook 200g edamame beans in their pods in lightly salted boiling water for 10 minutes.","Drain the beans and pop them out of the pods.","Cook 150g frozen peas in deep boiling water till tender, then drain.","Flake 300g smoked mackerel into large pieces.","Tear 100g ciabatta bread into large pieces and fry them in 3 tablespoons of olive oil in a shallow, non-stick pan over a moderate heat till pale gold and crisp.","Chop a spring onion and add to the pan, then toss in the edamame beans and peas, followed by the smoked mackerel.","Serve immediately."]}

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>" }
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGIANL text. Respond strictly with either 'True' or 'False'.
==TEXT==

User: 
  ORIGINAL: 🟪 Software Engineering Manager | 2 year(s) | Senior
▫️ FingerprintJS | Fraud Detection
▫️ 200k - 250k USD

Удаленка 📡
Требуемые языки: 🇬🇧

Skills: typescript, golang, aws
Tags: #purple #it #remote #office_job

👉 Контакты и полное описание
  PROMPT: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. 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: 💼 Software Engineering Manager | 2 years | Senior
🏢 FingerprintJS | Fraud Detection
📍 Удаленка 📡
🔹 Требуемые языки: 🇬🇧
🔹 Skills: typescript, golang, aws
💰 Salary: 200k - 250k USD
📞 Contact details and full description: 👉 [Link](https://example.com)
  
Assistant:
Yatish Naidoo is a final year university student who has a passion for cycling. He has started competing in cycling tournaments and has spent a substantial amount of money on entrance fees and cycling gear. He has requested that his statement of financial position to be drawn up in order to determine his net worth.
The list below indicates all his belonging and debts as at 31 March 20x2
Racing bicycle R2 800
Cycling kit R 600
Clothing R2 520
Fitbit watch R3 000
Bank R 550
Cellphone R2 000
Loan from father R2 500
Loan from mother R1 850
Write a conclusion for a essay about how important humor is
Create a long detailed text about 1964 tv series"Gilligan's Island" with the following summary. Stick to the information i give you and dont create new information. Focus only on the Subject name and there following Summary. Subject Name: [Relatable charm & Industry connections] Summary: [Despite not possessing the glamorous allure of her peers like Raquel Welch, Dawn Wells had a relatable and engaging charm that greatly contributed to her appeal. This quality, combined with her persistent efforts at making connections within the industry, led to a pivotal moment in her career by the end of 1963.]

        Instructions:{ Please write an interesting script with the given context without adding any introductory or concluding remarks.
        In case you find some more information about this topic then use all information you have to create a large text about this topic.The text should as long as possible and in best case around 1000 characters long.
        Ensure that there are no emojis, text within brackets, parentheses, or similar symbols in the response. 
        Provide a single coherent response without rephrasing or repeating titles or headings. Avoid enumerations or bullet points. 
        The text is intended for older adults; use simple vocabulary appropriate for a middle school reading level. Provide concise, direct answers without introductions or conclusions. 
        Use transition words at the beginning of your reply instead of the subject name and leave the end open without a concluding sentence. 
        It is very important to provide only the final output without any additional comments or remarks for example: 'Certainly!' Here's the revised text.
         
        Please provide the text directly without any labels such as "Conclusion:", "Introduction:", or "Transition:". Focus only on delivering the requested content without any headings or section titles.
        Please generate a complete and coherent response based on the provided input. Ensure that the response is fully formed and does not contain any placeholders such as '[Introduction]', '[Conclusion]', or any other incomplete sections. 
        The text should flow naturally without any gaps or missing information, and no placeholder markers or brackets should be used. 
        Please respond to my question, and always conclude your reply with the words "Reply finished" to indicate that your response is complete. 
        Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.}
         Please respond to my question, and always conclude your reply with the words 'Reply finished' to indicate that your response is complete. Ensure that the text is fully formed without any placeholders such as '[Conclusion]' or '[Placeholder]'. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.
You (safely) bungee jump from a 200-feet tall bridge in your town. Your distance above the water's surface depends on the time since you jumped. Sketch a reasonable graph. (3 points)
System: You are an expert Data Annotator. You will be given a text from a company annual report, your goal is to generate a set of Natural Language Inference (NLI) statements about the text than can be answered by either Yes if the text entails the statement, or No otherwise. Do not include any numerical reasoning or numbers in the statements.

Step 1: Read the paragraph carefully. 
Step 2: For each relevant task you identify, generate two short statements that are shorter than 10 words 
Step 3: Output the results in the following format:

Question: <The statement>
label: <Yes or No>
Question: <Another statement>
label: <Yes or No>
...

User: Our enterprise platform offerings are generally priced based on the number of IT assets or IP addresses that a customer chooses to monitor. As the amount of IT assets or IP addresses within our customers’ organizations grows, we may face pressure from our customers regarding our pricing, which could adversely affect our revenue and operating margins._Our subscription agreements and perpetual licenses generally provide that we can audit our customers’ use of our offerings to ensure compliance with the terms of such agreement or license and monitor an increase in IT assets and IP addresses being monitored. However, a customer may resist or refuse to allow us to audit their usage, in which case we may have to pursue legal recourse to enforce our rights under the agreement or license, which would require us to spend money, distract management and potentially adversely affect our relationship with our customers and users._
Assistant:
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: I cannot provide good images as its a logon problem.
intention: bug report
review: Last.fm scrobbling for streaming audio
intention: feature request
review: You should not be using such an old version of Firefox. 
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: I cannot provide good images as its a logon problem.
intention: bug report
review: Last.fm scrobbling for streaming audio
intention: feature request
review: You should not be using such an old version of Firefox. 
intention: other
Does the author's intention in this app review relate to a bug report or feature request or other?
review: play next file?'
intention: '
Assistant:
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: MapSnapshotter style error when initialized with file then set to URL'
intention: '
Assistant:
Assistant:
overview about huawei courses
Ты — эксперт по играм. У тебя есть информация о игре с разных сайтов в формате JSON, id - уникальный номер, name - массив имен игры, description - массив описаний игры, genre - массив жанров. Твоя задача написать большое описание на основе данной тебе информации, так что бы оно содержала всю информацию без дублирования.  ```{"_id":"1","name":["game bubble woods","bubble woods","игра лесные шарики"],"description":["стреляйте разноцветными пузырями, ваша цель собрать три и более шарика одного цвета. у вас есть 60 секунд! поехали!","control a little squirrel which is in the forest to play. you'll have to gather the bubbles in order to remove them from the game. aim, shoot with the cannon and score as many points as you can in 60 seconds. good luck!","enter the magical forest and earn as many points as you can in 60 seconds! in this very cool bubble shooter game, you'll do your best to score points in 60 seconds. throw your bubbles and have a lot of fun!","enter the magical forest and earn as many points as you can in 60 seconds! your goal in this fast-paced bubble shooter is to match 3 or more bubbles of the same color to pop them. play smart and bounce balls off the walls to reach strategically important bubbles - dropping big clusters can give you a huge bonus! use powerful boosters to score even more points and try to reach the highest score!"],"genre":["arcade games","умения","arcade","online games","bubble shooter games","games","игры","классические","шарики"]}```
please rewrite. Except project, I am involved "healthcare Business operator regulatory council" hosted by Korea consumer agency and Korea medical devices industry association. In the council, it improve safety factors for consumers and to continuously collaborate with the private sector to jointly respond to consumer safety issues, such as Improvement of home healthcare product labeling for the prevention of low-temperature burn accidents. 
And I am checking the Medical device assessment with all market Ras.
For starting project, I set up the product introduction session gathering alignment with PD team and affiliate market Ras. 
As Device Ras, I am involved at the beginning stage for ITM project.
Social Media post encouraging customers to order catering for the Super Bowl from my Greek restaurant in Los Angeles
System: You are provided with a paragraph. Your goal is to automatically identify the most relevant tasks based on the content of the paragraph and generate an example of entailment (if the task conclusion can be logically inferred from the paragraph) and a different example of non-entailment (if it is unclear or the opposite conclusion is true). 

Step 1: Read the paragraph carefully. 
Step 2: Automatically decide which tasks are relevant based on the paragraph’s content. Relevant tasks may include, but are not limited to: 
    - Topic Classification 
    - Risk Classification
    - Sentiment Classification 
    - Tone Classification
    - Event Detection 
    - Entity Recognition 
    - Geographical Recognition 
    - Trend Detection 
    - Intent Detection 
    - Sector Identification 
    - Impact Classification 
    - Tense Identification (Past, Present, Future) 
    - Uncertainty Identification 

Step 3: For each relevant task you identify, generate two clear and concise examples whose labels match common practices for the task at hand: one for entailment and one for non-entailment. The example should speak about the text at the 3rd person. 
Step 4: Output the results in the following JSON format:

{
    'relevant_tasks': [
        {
            'task': <The automatically selected relevant task>,
            'examples': [
                {
                    'input': <The entailment example based on the paragraph>,
                    'label': 'entailment',
                },
                {
                    'input': <The non-entailment example (neutral or contradiction) based on the paragraph>,
                    'label': 'non-entailment',
                }
            ]
        },
        ...
    ]
}
User: The precious metals (particularly bullion) business is exposed to the risk of loss as a result of “materials fraud” in its various forms. We seek to minimize our exposure to this type of fraud through a number of means, including third-party authentication and verification, reliance on our internal experts and the establishment of procedures designed to detect fraud. However, there can be no assurance that we will be successful in preventing or identifying this type of fraud, or in obtaining redress in the event such fraud is detected. None
Assistant:
The highest level of channel integration, ______________________, involves total channel integration. Customers can shop via all retail channels in parallel, because this system is designed as a holistic entity, ideally with every touch- point of every retail channel available. Customers can therefore combine channels as they see fit, depending on their specific needs. For example, they can use the re- tailer’s shopping app on their smartphones while shopping at the retailer’s brick-and- mortar outlet to scan product barcodes and collect additional information via mobile Internet.

(5 Puan)


Omni-channel

Multi-channel

Cross channel

Multiple channel
what is on way in which harding presidency/early 1920s was similar to the guilded age
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
pbr: state a concrete problem related to a software product or service
inq: asks for either new functionality, an improvement, or requests information for support
irr: it does not belong to problem reports or inquires
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
pbr: state a concrete problem related to a software product or service
inq: asks for either new functionality, an improvement, or requests information for support
irr: it does not belong to problem reports or inquires
Does the author's intention in this app review relate to a pbr or inq or irr?
review: this is the third time I have tried calling Verizon customer service and still get a recording over a two-hour hold. I am going to file a complaint with PUC. My mother passed away and I have been trying to disconnect your service for 2 wks.'
intention: '
Assistant: