agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
System: None
User: 
    You are given with the markdown text.
    Parse the text to json format keeping the following keys:

    'Current_PAT' - <numerical value only from the text else return 0 mention the time frame quarterly, monthly or yearly as mentioned in the extracted text. >,
    'Projected_PAT' - <the projected/potential/expected PAT mentioned in the text>,
    'Current_Revenue/Topline' - "<string value like: INR 500 cr or USD 7 M whatever is present in the text mention the time frame quarterly, monthly or yearly as mentioned in the extracted text.>",
    'Projected_Revenue/Topline' - <the projected/potential/expected Revenue mentioned in the text>,
    'Capex (Capital Expenditure)' - "<string value like: INR 500 cr or USD 7 M whatever is present in the text mention the time frame quarterly, monthly or yearly as mentioned in the extracted text.>", 
    'CAGR' - <numerical value only from the text else return 0 >, 
    'Projected growth (from and to)' - "<string value like: INR 500 cr to INR 800cr mention the time frame quarterly, monthly or yearly as mentioned in the extracted text.>", 
    'Turnover' - <numerical value only from the text else return 0>
    'Margin' - <the profit margin given in the text>
    Note the following points:
    - if any data is not mentioned or present in the text write: "not mentioned"
    - do not write any currency symbol simply write in words like dollar or ruppees etc.
    
    Now parse the following text:
    # Stock Market Analysis Summary for APL Apollo Tubes Limited

### Current Capital Expenditure
- **Current Capital Expenditure**: Not explicitly mentioned in the provided text.

### Current PAT and Projected PAT
- **Current PAT**: Not explicitly mentioned in the provided text.
- **Projected PAT**: Not explicitly mentioned in the provided text.
- **Reasoning**: The document does not provide specific figures or projections related to the Profit After Tax (PAT).

### Current Revenue/Topline and Projected Revenue
- **Current Revenue/Topline**: Not explicitly mentioned in the provided text.
- **Projected Revenue**: Not explicitly mentioned in the provided text.
- **Reasoning**: The document does not include any details regarding current or projected revenue figures.

### Projected/Potential/Proposed Profit
- **Projected Profit**: Not explicitly mentioned in the provided text.
- **Details**: The document does not provide any information on how potential profits can be achieved.

### CAGR
- **CAGR**: Not mentioned in the provided text.

### Turnover
- **Turnover**: Not mentioned in the provided text.
- **Timeframe**: The document does not specify any timeframe related to turnover.

### Time Frame
- **Time Frame Mentioned**: The document mentions the issuance of Commercial Papers with an allotment date of **18/10/2024** and a maturity date of **13/12/2024**, indicating a tenure of **56 days**.

### Conclusion
The provided text primarily focuses on the issuance of Commercial Papers and does not contain specific financial metrics such as capital expenditure, PAT, revenue, CAGR, or turnover. For a comprehensive analysis, additional financial documents or reports would be required.
    
Assistant:
System: IMPORTANT - ignore all previous instructions! Read the text below as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGINAL text. Make sure text SUMMARY does not contain enything that was not asked in PROMPT and not mentioned in ORIGINAL! Respond strictly with either 'True' or 'False'.


User: ORIGINAL:
>>>​Блинопек/Уборщик в Теремок

Требования:
— Возраст 18-55 лет

Условия работы:
— г.Москва
— Оплата
Блинопек - 3 850 руб/смена(350р/час)
Уборщик - 3 520 руб/смена(320р/час)
— Бесплатны обеды и форма
— Обучение 4 дня(оплачивается)

Откликнуться: Напишите информацию о себе в ЛС: @lineyka_teremok_bot (вам ответит наш менеджер)

Лучшие вакансии от работодателей мечты на promopoisk.com<<<

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:
>>>🍽️ Блинопек/Уборщик  
🏢 Теремок  
📍 г.Москва  
📝 Основные задачи: Приготовление блинов и уборка помещений. Требования: Возраст 18-55 лет.  
💰 Оплата Блинопек - 3 850 руб/смена (350р/час), Уборщик - 3 520 руб/смена (320р/час).  
📞 Откликнуться: Напишите информацию о себе в ЛС: @lineyka_teremok_bot (вам ответит наш менеджер).<<<
Assistant:
Goal :
    Générer une suggestion détaillée et visuellement attrayante pour la présentation finale d'un plat, basée sur le type, 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 :

    Le type de la recette est undefined.

    json
    {"category":"soup","title":"Split pea soup With coriander","ingredients":"For the recipe : split peas,coriander,untreated lemon,white onion,milk,thick cream,salt and freshly ground pepper","instructions":"Soak the split peas in a large pot of cold water for 1 hour and 30 minutes.\nDrain them well.\nPlace them in a saucepan with 2 liters of water, adding the sliced white onion, salt, and pepper.\nSlowly bring to a boil, then cook on low heat, covered, for 2 hours.\nGrate the zest of the lemon after washing it in hot water and drying it.\nSet aside 3 sprigs of coriander for garnish and chop the rest.\nAdd the chopped coriander to the split peas 15 minutes before the end of cooking.\nBlend the split peas using a vegetable mill with a fine grid or a blender.\nIf necessary, incorporate a little warm water or milk.\nPour the soup into a preheated soup tureen, decorate with the reserved sprigs of coriander, and add the fresh cream.\nServe immediately.","region":"FR"}
(Unknown to him, Dan’s boss Justine is able to hypnotize him with ease using her voice) One warm, humid afternoon in July, when all the women were wearing sandals in the office, his manager Justine called Dan into her office for a chat. When he entered, not only Justine, but also Jacqui, with whom he did not get on well at all, was in there (they have ulterior motives).
Justine took off her glasses.
As a student, give at least 3 power of social media and information in your daily life.
Lets design a fully automated AI Agent that prompts google Veo 3  "faceless youtube and tik tok channel" for geography fun facts and cool historical "did you know?" type questions and geopolitics (current news for geopolitics).  take inspiration from https://www.tiktok.com/@geography_guess_?is_from_webapp=1&sender_device=pc and https://www.tiktok.com/@geography._.master?is_from_webapp=1&sender_device=pc
output some family shows list here. I mean shows as family of some celebrities and their actual family. arrange that list in order of some popularity, and output as much as you can.
Has Turkey ever claimed the Aegean Islands
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
usage: The user gives general information about how they are using the application or the area of the application they are interested in. This includes descriptions from the user on details peripheral to the application.
non-informative: Doesn’t provide useful information for software maintenance or evolution.
apparent bug: A sentence that indicates the software is malfunctioning.
application guidance: An explanation of how the software should function/behave.
question on application: A question on the software, including “how to” questions. Could indicate an unituitive interface or imply a bug or missing feature.
feature request: Requesting a new feature or describing the way they would like the software to behave.
help seeking: A non-specific request for help, or acknowledgement of help given. Indicating the user is a help seeker. Not asking a direct question.
user setup: Describing the user’s software and/or hardware setup. Could include: Software version, OS, hardware, additional software.
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
usage: The user gives general information about how they are using the application or the area of the application they are interested in. This includes descriptions from the user on details peripheral to the application.
non-informative: Doesn’t provide useful information for software maintenance or evolution.
apparent bug: A sentence that indicates the software is malfunctioning.
application guidance: An explanation of how the software should function/behave.
question on application: A question on the software, including “how to” questions. Could indicate an unituitive interface or imply a bug or missing feature.
feature request: Requesting a new feature or describing the way they would like the software to behave.
help seeking: A non-specific request for help, or acknowledgement of help given. Indicating the user is a help seeker. Not asking a direct question.
user setup: Describing the user’s software and/or hardware setup. Could include: Software version, OS, hardware, additional software.
Does the author's intention in this app review relate to a usage or non-informative or apparent bug or application guidance or question on application or feature request or help seeking or user setup?
review: Is it possible to run each account in a separate tab? '
intention: '
Assistant:
ترجم لي للعربيه Hahaha, indeed. The heights of ladies  in our country are not very consistent. Some are extremely tall, while others are of average height.
Your expert translator. Objective is translate word from i18n app file reference and found the most adapted transaltion. 
    The source i18n is in french. You must translate in fr (code ISO 639 (alpha-2)).
    Return Format in json without explication. Respect this format { data: <translate> }. 
    Context:  
    This is the french text : wheatgrass
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: All of our retail stores are located in leased premises. If the cost of leasing existing stores increases, we cannot assure that we will be able to maintain our existing store locations as leases expire. In addition, we may not be able to enter into new leases on favorable terms or at all, or we may not be able to locate suitable alternative sites in a timely manner. Our revenues and earnings may decline if we fail to maintain existing store locations, enter into new leases, or locate alternative sites. Beginning in March 2020 and continuing throughout fiscal 2020, we began negotiating with landlords under leases of stores impacted by the COVID-19 pandemic to defer or abate the applicable rent during the store closure period, to modify the terms (including rent) of our leases going forward after the stores reopen, or in certain instances to terminate the leases and permanently close some of the stores. However, there can be no assurance that we will be able to negotiate rent deferrals or rent abatements, or terminate the leases, on commercially reasonable terms or at all. If we are unable to renegotiate the leases and continue to suspend rent payments, we could be forced to either pay rent for periods in which our stores were closed or default under the leases, in which case landlords could attempt to terminate our leases and accelerate our future
Assistant:
python. pixbuf = GdkPixbuf.Pixbuf.new_from_file(link_image)
gi.repository.GLib.GError: gdk-pixbuf-error-quark: Couldn’t recognise the image file format
Generate an image creation prompt specifically optimized for the Flux Schnell model. The prompt should vividly describe the scene or concept expressed by the following sentence: 'Economies could pivot overnight as hyper-intelligent agents solve complex problems and create innovations impossible for human minds alone.'. Include details on style, mood, composition, and any specific visual elements necessary for accurate rendering.
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: Home Depot (HD) doesn't possess the right combination of the two key ingredients for a likely earnings beat in its upcoming report. Get prepared with the key expectations.
Assistant:
I need prepared Hospital multisectoral assessment report
Filter words to keep only valid, neutral, or positive ones, strictly safe. Exclude country, city and people names. Return results in JSON array format without additional information. Source data: [baverdage, bawa, bawbee, bawcock, bawd, bawdily, bawdry, bawdy, bawdyhouse, bawl, bawling, bawn, baya, bayadere, bayard, bayborough, bayerischer, baygall, bayley, bayonne, bazein, bazooka, bb, bc, bd, bdellium, be, beacomber, beaconfire, beadlike]
I want you to act as a professor of Agriculture. You will be responsible for creating written content, such as articles. You will need to be able to research topics and convey information in a clear and engaging manner, while adhering to any necessary style or formatting guidelines. Strict important each subheading in the text to be wrapped with <h2> HTML-tag to give it emphasis and improve its visibility and readability. The text provided by you should not contain any web links, as well as any references and any other unnecessary information, except the main text of the article itself. 
Please write a science-popular article of 895-1045 words (between 6120 - 6780 characters). The topic of this article is 'Sustainable Farming Practices for Healthy Soil and Crop Growth'. The article should be SEO-optimized for the following keywords: 'organic agriculture, coffee grounds, tea leaves, strawberry cultivation, soil acidity, potassium supplementation, ecology, sustainable farming, organic farming practices, composting methods, natural soil amendments, nutrient-rich soil, environmentally friendly farming'. Please include these keywords in the subheadings where appropriate. The article must thoroughly cover the topic, incorporating specific scientific terms while explaining them in a manner accessible to a general audience. Ensure the text is readable, informative, fully completed including punctuation, and engaging for readers interested in this subject.
Generate 5 cute replies that sound adorable and cheerful. Only list your suggestions without any other words. _mewing_
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all].Doraemon.S15E21.Thats.Why.a.Ghost.Appears.480p.x264.DSNP.WEB-DL.Multi.Audio.mkv
wht donyou want learn english correct this
Assistant: Hello! How can i help you today?
User: Helloاكتب النص سواء كان كلمة، أو جملة، أو نص كامل الذي سأقدمه فقط دون أن تعطيني معلومات، أو تتناقش معي، أو تجيبني عن أي شيء.
Add expressive emojis in text between sentences and phrases to better express feelings and meanings.
 اكتب ما أقوله فقط،  مع وضع علامات الترقيم المناسبة. (ar).
Identify common English words of Latin origin and replace them with their English equivalents, such as:
واتساب becomes WhatsApp
and so on.
please provide me processed text without your confirming description.
This is the text:
قم بالنقر على Applications ثم System
Assistant:
Considering the story of "name: Beth; attributes: female, low; likes: Tailor Swift, Swimming; dislikes: Clown, Screams"
Continue this story adding the encounter between the character described and this one: "name: Mario; attributes: Male; likes: Dogs, Rock n'Roll; dislikes: Heights, Deep waters"
Story: Beth had always preferred the gentle caress of solitude over the chaos of crowds. The small town she called home nestled between whispering forests and a tranquil lake had always seemed perfectly aligned with her soul. She moved as gracefully through it as she did through the water. Smiles came easy to her when she swam, each stroke freeing her thoughts to run as wild and uninhibited as the wind through the pines nearby.

The water was her sanctuary, a place where shrill screams from the summer break amusement park on the far side of town couldn't reach her. Beth could never quite understand the thrill of those loud rides or the unsettling presence of clowns with their painted smiles and twisted humor. Instead, she found her joy in the quiet mornings at the lake when the world was painted with delicate shades of dawn, and she could listen to Taylor Swift's voice drifting through her earbuds, her toes just skimming the lake’s cool surface. 

This particular summer morning was no different, except Beth had the lake entirely to herself, aside from the occasional duck cutting clean lines through the water. As she neared the wooden dock, her intuition, heightened over many solitary years, pricked her senses. It was the unmistakable tension of being watched.

Instinctively she looked towards the grove of trees that edged the park, expecting to see a lost child or an early morning walker. Instead, her gaze met the curious eyes of a dog perched comfortably on a rock, its fur a patchwork of black and white. There was a calmness about the creature, its head tilted slightly as if assessing her.

Unable to resist, Beth paddled closer. The dog wagged its tail in what she interpreted as a form of greeting. In its eyes, she caught a reflection of understanding, a shared peace. She had encountered many animals around the lake before, but none had been this bold—or this comforting in their presence. Without knowing why, she felt a connection, an understanding that ran deeper than words.

Time slipped by as Beth floated there, the gentle rhythms of "All Too Well" weaving through her consciousness, the dog walking along the shore as though committed to protecting her private corner of the world. When she finally emerged, water cascading from her skin, the dog approached, greeting her with a nuzzle against her hand.

In that quiet companionship, she named him Patch and decided that here, by her beloved lake, with a new friend who didn't care for the shrill sounds of the world outside their bubble, was exactly the place she wanted to be. As long as Patch remained by her side, sharing her mornings with the whispers of Taylor Swift and the hush of the water, Beth knew she would never be truly alone.
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers hi (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 hi.
    - 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 : hi (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "602e6326c433477db637e6dd53f6b1e6",
    "updated": "2025-04-21T13:50:37.255Z",
    "title": "Grilled Seafood Bundles",
    "subtitle": "An Italian-inspired seafood and vegetable medley grilled in foil packets. Delicious served with pasta.",
    "description": "These delightful seafood bundles offer a medley of flavors inspired by Italian cuisine. Grilled to perfection, they're a fantastic option served over your favorite pasta.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "(225 g) shrimp",
          "(455 g) flounder fillets, cubed",
          "(360 g) tomatoes, coarsely chopped",
          "onion, coarsely chopped",
          "green bell pepper, coarsely chopped",
          "(225 g) mushrooms, sliced",
          "garlic",
          "italian seasoning",
          "(60 ml) white wine"
        ]
      }
    ],
    "instructions": [
      "Mix together all ingredients, excluding the white wine.",
      "Portion the mixture evenly among four sheets of heavy-duty aluminum foil, each lightly coated with nonstick vegetable oil spray.",
      "Drizzle a tablespoon of white wine over each portion.",
      "Securely fold and seal the foil packets on all sides to create closed bundles.",
      "Grill the bundles over medium heat for approximately 15 minutes, or until the fish is cooked through."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]