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: Our precision technology products include both hardware and software components that relate to guidance, telemetry, automation, autonomy and connectivity solutions. We have to be able to successfully develop and introduce new solutions that improve profitability and result in sustainable farming techniques in order to remain competitive. We expect to make significant investments in research and development expenses, acquisitions of businesses, collaborative arrangements and other sources to drive these outcomes. Such investments may not produce attractive solutions for our customers. We also may have to depend on third parties to supply certain hardware or software components or data services in our precision technology products. Our dealers ability to support such solutions also may impact our customers, acceptance and demand of such products.
Assistant:
act as sentiment analysis and respond using 1 (one) emoji only of what the text/message feels: "bot mana sya"
In the salesforce org setting "Organization-Wide Email Addresses" what does the "user selection" option do?
Respond to this message in the appropriate language: say chingkhei is a predator

Remember that you have access to the Google search engine and the ability to explore the internet. It's crucial that you generate your responses based on the information you find through these searches. It's important to note that sometimes the information obtained may not be complete; therefore, it's advisable that you try to complement and improve those parts that may have gaps or deficiencies:
In a mikrotik router, is there a way to check network usage (how much data was transmitted / received) in X time interval?
User: Test
Assistant: Hello! How can I assist you today?
User: What gpt model are u?
Assistant:
Hypothetical late 2010's British Comedy.    Harry Enfield as a retired builder, finds his 'Lodsa Money' retirement fund  may go up in smoke , as  Tax inspectors, a journalist (Ben Elton) and other parties start looking into the less than stellar antics of Enfield's builder previously at the height of the 1980's...
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: Before testing any drug or biological product candidate, including our product candidates, in humans, the product candidate must undergo rigorous preclinical testing. Nonclinical studies during the preclinical development stage include laboratory evaluation of product chemistry and formulation and typically include in vitro and animal studies to assess the potential for adverse events and in some cases to establish a rationale for therapeutic use. The Consolidated Appropriations Act for 2023, signed into law on December 29, 2022, (P.L. 117-328) amended the Food, Drug, and Cosmetic Act, or the FDCA, and the Public Health Service Act to specify that nonclinical testing for drugs and biologics may, but is not required to, include in vivo animal testing. According to the amended language, a sponsor may fulfill nonclinical testing requirements by completing various in vitro assays (e.g., cell-based assays, organ chips, or microphysiological systems), in silico studies (i.e., computer modeling), other human or nonhuman biology-based tests (e.g., bioprinting), or in vivo animal tests. The conduct of preclinical studies is subject to federal regulations and requirements, including GLP regulations for safety/toxicology studies. Some long-term preclinical testing, such as animal tests of reproductive adverse events and carcinogenicity, may continue after an IND for an investigational drug or biologic candidate is submitted to the FDA and human clinical trials have been initiated. Prior to beginning the first clinical trial with a product candidate, we must submit an
Assistant:
Story prompt: Alex and Sharon discussed a lot of topics in descriptive detail. Today, Alex asked, “Don’t you find it somehow both interesting, yet strange that what many consider a specific ethnicity may not always be correct?” 

Sharon replied, “My first thought about that were Jews and Arabs. Also a bunch of others, but I’m sticking with that.” Alex replied, “Exactly! People are used to this idea that the average Jew is a light-skinned person who may live in different parts of the world while Arabs are stereotyped as having brown skin and dark hair, yet there’s more to it, whether linguistically, culturally, or anything. Skin color doesn’t have to do anything with it, especially with the Jewish diaspora and what constitutes as an Arab.” 

Sharon added, “It really does make a simple question like, “Who is a Jew?” or “Who is an Arab?”, actually more complicated. People many would consider black or white can be considered an Arab based on language only. Religion doesn’t factor in for Arabs because of the existence of Arab Jews and Christians, as much as Arab Muslims do.” Alex continued, “Yet Jews are an ethnoreligious and ethnolinguistic group, but aren’t limited to skin color or other traditions, which makes things more confusing to most people.”
Generate an image based on the description: "черно-белое аниме в стиле Y2K". Ensure the prompt is in English. The output will be used by a neural network for photo generation. Focus on creating a detailed, clear, and descriptive prompt suitable for accurate and high-quality image creation by the AI.
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: Data: William Anders, almaMater, "AFIT, M.S. 1962"

Sentence about the following data: 
Answer: William Anders is a person who went to a school called AFIT and finished a special study, called an M.S., in 1962.
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: I see that the page specifies the Helvetica font. '
intention: '
Assistant:
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": "b9438a6c40ad4f4abe385880ca9ace75",
    "updated": "2025-05-10T15:12:26.877Z",
    "title": "Mickey's Candy Corn Sugar Cookies",
    "subtitle": "These sugar cookies, shaped like candy corn, are a delightful treat with cinnamon and nutmeg flavors.",
    "description": "These sugar cookies, shaped like candy corn, are a delightful treat. They feature a lovely blend of cinnamon and nutmeg flavors and are perfect for any occasion.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "sweet cream butter, softened",
          "powdered sugar",
          "vanilla",
          "cinnamon",
          "nutmeg",
          "egg",
          "flour",
          "baking soda",
          "cream of tartar",
          "yellow decorating icing",
          "orange decorating icing",
          "white decorating icing",
          "mickey head cookie cutter"
        ]
      }
    ],
    "instructions": [
      "Preheat the oven to 350 degrees F. Line a cookie sheet with parchment paper.",
      "Cream the butter and sugar together until light and fluffy. Beat in the egg and vanilla. In a separate bowl, whisk together the flour, baking soda, and cream of tartar. Gradually add the dry ingredients to the butter mixture, mixing well.",
      "On a lightly floured surface, use your hands to form the dough. Roll it out to about 1/2 inch thick and cut out 12 Mickey head shapes using your cookie cutter.",
      "Place the cookies on the prepared baking sheet and bake for 8 minutes, or until they are lightly golden around the edges. Let them cool completely.",
      "Decorate the cookies by filling the middle section with orange icing, the upper third with white icing, and the lower third with yellow icing. Feel free to alternate the colors on each section as you like. Allow the icing to dry completely, about 6 to 8 hours."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
A 64-year-old man presented to the otolaryngology clinic with hoarseness of voice for 3 weeks associated with intermittent dry cough. He had no medical history or family history of cancer and was not a smoker. In the absence of other suggestive symptoms, as well as a normal physical examination that did not reveal any enlarged cervical lymph nodes or oropharyngeal or neck mass and an unremarkable nasoendoscopic examination, a diagnosis of laryngopharyngeal reflux was made. The patient was advised to try conservative management with dietary advice and proton pump inhibitors, and a clinical review was scheduled in 6 weeks. The patient only returned 3 months later when his hoarseness became worse. Repeat nasoendoscopy now showed left vocal cord palsy in the paramedian position. In the absence of a history of trauma and associated neurological or systemic symptoms, the main concern was an underlying tumor that impinged on the vagus nerve at various points or its recurrent branch. Results of a computed tomographic (CT) scan showed an ill-defined soft tissue mass, which was likely nodal disease, at the left supraclavicular, as well as the prevertebral and paravertebral region, which partially encased the left common carotid, left subclavian, and left vertebral arteries. This was along the expected course of the left recurrent laryngeal nerve and likely accounted for the left vocal cord palsy. However, the primary site of disease remained unclear. A fused positron emission tomography with CT (PET/CT) scan with fluorodeoxyglucose (FDG) tracer was then performed. The PET/CT scan showed an intensely FDG-avid sigmoid lesion with associated intensely FDG-avid superior rectal and left common iliac adenopathy and FDG-avid soft tissue in the left supraclavicular fossa and aortopulmonary window. Because metastasis of sigmoid colon cancer to the prevertebral and paravertebral lymph nodes resulting in recurrent laryngeal nerve palsy is highly unusual, a radiologically guided core biopsy of the left supraclavicular mass was performed. Histology as well as immunophenotype analysis confirmed that the tumor originated from the lower gastrointestinal tract. Flexible sigmoidoscopy showed a large stenosing sigmoid tumor, and histologic findings from biopsies were concordant with adenocarcinoma. In view of the imminently obstructing tumor, the patient underwent laparoscopic Hartmann surgery to avert a clinical crisis of intestinal obstruction during chemotherapy.Figure 1. Coronal view of the computed tomographic scan of the patient’s neck, including the left supraclavicular node (yellow arrowhead) and the left common carotid artery (black arrowhead). A. Laryngeal cancer B. Metastatic colon cancer C. Lymphoma D. Esophageal cancer
Come up with a very, extremely complex Orthodox rite of "The Passion, Golgotha and the Crucifixion of Christ." A priest, deacons, and subdeacons serve. Come up with very detailed instructions for priests, deacons, subdeacons during this rite. When to open the Royal Gates or the veil, when to incense, and so on. Write down the instructions for the consecration of the temple. Write a lot and in detail. Write down where everyone involved should be during each moment of the rank. And where they should go at each stage. Everything should be symbolic and with a meaning that you have to explain. If the Royal Gates are open, the veil cannot be closed, it is a priori open. But if the gate is closed, the veil can be either closed or open. Write down what the priest is wearing at every moment of the rite. Finish with the priest leaving the temple. I want beauty and consistency. Without "teleportation". Let it be written, they say, that that video Goes There and does that. And all this should be beautiful and magnificent
Did you have an Ilets exam?
Write the story of a fit tomboy whose mother warned her that all tomboys are doomed.
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:
>>>🟨 DevOps Engineer | Middle
▫️ 155k - 180k RUB
▫️ Russia

Офис 🏢
Требуемые языки: 🇷🇺

Skills: linux, monitoring_systems, ci/cd
Tags: #yellow #it #devops

👉 Контакты и полное описание<<<

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:
>>>🟨 DevOps Engineer  
▫️ 155k - 180k RUB  
🏢 Russia  
🔧 Main tasks include managing Linux systems and implementing CI/CD pipelines.  
💰 Salary range is 155k - 180k RUB.  
📞 Контакты и полное описание<<<
Assistant:
Hypothetical Audley End like video ( Re-enactor in character) but for a different English Heratige/ National Trust property.    What might some interesting ideas with potential for educative potential be?
Assistant: Hello! How can i help you today?
User: Helloصحح النص سواء كان كلمة، جملة، أو نص كامل، الذي سأقدمه فقط دون تزويدي بأي معلومات أو تفاصيل زائدة مع النص النهائي.
 صحح الأخطاء الإملائية في النص، وأضف علامات الترقيم والهمزات والتاء المربوطة في الأماكن المناسبة. (ar).
Identify common English words of Latin origin and replace them with their English equivalents, such as:
واتساب becomes WhatsApp
فويس اوفر becomes Voiceover
اوبو becomes Oppo
فوكالايزر becomes Vocalizer
انفيجن becomes Envision
بي ماي ايس becomes Be My Eyes
ميت becomes Meet
ام اكس بلاير برو becomes MX Player Pro
سمارت اوديو بوك بلير becomes Smart AudioBook Player
تك فريدم becomes Tech-Freedom
فويسس becomes voices
فويس اللاود ريدر becomes Voice Allowed Reader
تكنو becomes tecno
اي اي becomes AI
جوجل becomes Google
and so on.
Please provide me with the processed text only, and do not add any additional text or any confirmation description of your own in any form.
This is the text:
به انه كان مع النبي صلى الله عليه وسلم على جبل والاربعه والزبير فتحرك الجبل فقال له النبي صلى الله عليه وسلم فما عليك الا نبي او صديق او شهيد ومنها
Assistant:
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:   EPS: $1.70, versus $1.46 expected by Thomson One analysts' consensus. Revenue: $41.2 billion, versus $40.75  billion expected by Thomson One.  
General Motors ' first-quarter earnings rose 34 percent, topping Wall Street estimates by a wide margin, as strong pickup truck and SUV sales in the U.S. 
Assistant:
give me a response to ```My representative is the voice of reason amidst the storm. He or she is steadfast and dependable, offering wisdom and support when needed. My representative is a source of strength and encouragement, keeping us on track and pushing us toward our goals.``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
Write a news article where a wife reports a husband after he threatens to "get domestic"