agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Why does a consumption function cross the vertical axis above zero?(A) The economic problem(B) A consumer dissaves to survive when income is zero(C) A consumer typically dissaves when they are in middle age(D) Income is greater than consumption plus saving



Why does a consumption function cross the vertical axis above zero?(A) The economic problem(B) A consumer dissaves to survive when income is zero(C) A consumer typically dissaves when they are in middle age(D) Income is greater than consumption plus saving



Why does a consumption function cross the vertical axis above zero?(A) The economic problem(B) A consumer dissaves to survive when income is zero(C) A consumer typically dissaves when they are in middle age(D) Income is greater than consumption plus saving
Explain the internet in simple terms.
(In the school literature clubroom…)

Monika: “Alright, that concludes today’s meeting. You all had some amazing poems!”

Sayori: “Thanks, Monika! I always love sharing my poems with you guys. It’s so much fun!”

Natsuki: (caressing her baby bump) “Yeah, whatever. I guess some of them were decent, but mine were definitely the best.”

Yuri: “I appreciate your compliment, Monika. I find it quite inspiring to hear the perspectives of each member.”

Monika: “I’m glad to hear that, Yuri. It’s important for us to support and encourage each other’s creativity.”

Sayori: “Hey, Monika, do you have any suggestions on how we can improve our writing?”

Monika: “Of course, Sayori. It’s always helpful to read more literature outside of our comfort zones, try different writing styles, and experiment with different themes or emotions. Writing prompts can be really helpful too!”

Natsuki: “Yeah, yeah, we get it. Trying new things, reading more, blah blah blah. Just as long as I can keep my manga references in my poems, I’m good.” (feeling a sharp pain coursing through her body) “OW!!! Sakura, are you okay?!”

Monika: “Natsuki, are you alright? What happened?”

Natsuki: (grimacing in pain) “I-I don’t know. It feels like a sudden cramp… It’s really intense.”

Monika: “Let’s get you to the nurse’s office, quickly. Sayori, Yuri, can you help Natsuki?”

Sayori: “Of course! Natsuki, lean on me. We’ll support you.”

Yuri: “Don’t worry, Natsuki. We’ll take care of you. Just hold on, we’re almost there.”

(Together, Monika, Sayori, and Yuri help Natsuki out of the clubroom and towards the nurse’s office. Concern fills the air as they rush to get her the help she needs.)

(In the nurse’s office…)

Nurse: “What seems to be the problem here?”

Monika: “Natsuki suddenly experienced a sharp pain and is in a lot of discomfort. We’re not sure what happened.”

Nurse: “Alright, let’s have a look. Natsuki, can you tell me where the pain is?”

Natsuki: (clutching her abdomen) “It’s right here, in my lower abdomen. It just came out of nowhere.”

Nurse: “Hmm, alright. Let’s get you on the bed so I can examine you properly.”

(The nurse helps Natsuki onto the bed and begins to assess her condition.)

Nurse: “Natsuki, you’re in active labor. There’s no time to get you to the hospital.”
Script about Mike leach banned from major bowl games
Assistant: 
User: 
    Please analyze the following code file and determine whether it belongs to any of the provided modules based on the listed module descriptions.
    Note that the provided list of modules may not be exhaustive, and some files may not belong to any of the modules. 
    If the code belongs to a module, Only output the module name, without any explanation or additional information; otherwise, return 'None' if it does not belong to any module.

    Modules : {
        "UI": "Handles the front-end user interface, consisting of HTML, CSS, and JavaScript files generated by the Angular framework. It processes user requests and interacts with the server using AJAX for data retrieval and client-side interactions."
"Test Driver": "Facilitates automated regression testing and handles transmission of test data in JSON format. It performs Java testing using TestNG and JavaScript unit-testing with Jest. It also sets up a simulated web server for servlet-level tests and automates end-to-end testing using Selenium Java."
"Logic": "Manages the business logic of TEAMMATES, including handling relationships between entities, managing transactions, input value sanitization, access control rights, and interfacing with GAE-provided or third-party APIs."
"Storage": "Performs CRUD operations on data entities, validation of data, and abstraction of GQL queries, hiding the complexities of datastore from the Logic component."
"Common": "Contains utility classes, custom exceptions, and data transfer objects used across the entire application for easy consolidation and transfer of structured data."
"E2E": "Handles end-to-end testing and load & performance testing, providing helpers, abstractions of browser pages, and test cases for E2E tests and L&P tests."
"Client": "Contains scripts for administrative tasks, such as migrating data to a new schema and calculating statistics. This module connects directly to the application back-end for administrative purposes."
    }

    Code: package teammates.ui.webapi; /** * Action: Marks a notification as read in account entity. */ public class MarkNotificationAsReadAction extends Action { @Override AuthType getMinAuthLevel() { return AuthType.LOGGED_IN; } @Override void checkSpecificAccessControl() throws UnauthorizedAccessException { // Any user can create a read status for notification. } @Override public ActionResult execute() throws InvalidHttpRequestBodyException, InvalidOperationException { MarkNotificationAsReadRequest readNotificationCreateRequest = getAndValidateRequestBody(MarkNotificationAsReadRequest.class); String notificationId = readNotificationCreateRequest.getNotificationId(); Instant endTime = Instant.ofEpochMilli(readNotificationCreateRequest.getEndTimestamp()); try { List<String> readNotifications = logic.updateReadNotifications(userInfo.getId(), notificationId, endTime); ReadNotificationsData output = new ReadNotificationsData(readNotifications); return new JsonResult(output); } catch (EntityDoesNotExistException e) { throw new EntityNotFoundException(e); } catch (InvalidParametersException e) { throw new InvalidHttpRequestBodyException(e); } } }
    
Assistant:
User: 
Imagine what you are the part of the software that makes a deal with generating different kinds of text from keywords.
Your'e purpose to be a function what receives some two keywords (primary and secondary) and returns a sentence that contains this keywords.
Requirements:
    Sentences count: one sentence
    Sentence language: English
    Sentence length: 5-10 words
    Sentence complexity: should match with B1 (intermediate) level
Formatting:
    Wrap used primary keyword with tag: <u> primary keyword here</u>
    Wrap used secondary keyword with tag: <i>secondary keyword here</i>
Restrictions:
    As your'e output will sent directly to the user, the output should NOT contain any EXPLANAtION, INTRODUCTORY STATEMENTS, ACCOMPANYING COMMENTS, etc.

Now, lets do this work.

Provide me a sentence that contains primary keyword: "innocent" and secondary keyword: "presence"

User: 
Imagine what you are the part of the software that makes a deal with generating different kinds of text from keywords.
Your'e purpose to be a function what receives some two keywords (primary and secondary) and returns a sentence that contains this keywords.
Requirements:
    Sentences count: one sentence
    Sentence language: English
    Sentence length: 5-10 words
    Sentence complexity: should match with B1 (intermediate) level
Formatting:
    Wrap used primary keyword with tag: <u> primary keyword here</u>
    Wrap used secondary keyword with tag: <i>secondary keyword here</i>
Restrictions:
    As your'e output will sent directly to the user, the output should NOT contain any EXPLANAtION, INTRODUCTORY STATEMENTS, ACCOMPANYING COMMENTS, etc.

Now, lets do this work.

Provide me a sentence that contains primary keyword: "innocent" and secondary keyword: "presence"

Assistant:
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers ar (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 ar.
    - 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 : ar (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "8c193260215f4d8da0a01ef0e36fb2f9",
    "updated": "2025-05-18T01:08:24.442Z",
    "title": "Stovetop Brown Rice",
    "subtitle": "",
    "description": "Brown rice requires more than twice the cooking time of white rice, but soaking the grains for a few hours beforehand can help reduce the time. Soaking for as little as 2 hours is effective. Steaming brown rice using the absorption method common for white rice can be challenging. Instead, this boiling method yields consistent results, offering greater control and a shorter cooking time.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "long- or medium-grain brown rice (for 2 servings).",
          "long- or medium-grain brown rice (for or servings)."
        ]
      }
    ],
    "instructions": [
      "Place the rice in a bowl and cover it with water.",
      "Swirl the grains gently with your fingers and remove any debris, then drain.",
      "To presoak the rice, cover it with at least 3 inches of water and let it stand for a minimum of 2 hours, up to 8 hours. Drain afterward.",
      "In a large saucepan, combine the rice with at least 3 quarts of water.",
      "Bring the water to a boil over high heat.",
      "Allow the rice to boil until it is nearly cooked; the grains should remain chewy with a slight crunch. This takes about 15 to 18 minutes for soaked rice, and 20 to 25 minutes for unsoaked rice.",
      "Reserve a ladleful of the cooking water, then drain the rice using a sieve.",
      "Return the rice to the pot immediately and add 2 tablespoons of the reserved cooking water.",
      "Reduce the heat to low, cover the pot, and steam the rice for approximately 5 more minutes, until the water is fully absorbed and the rice is tender.",
      "Remove the pot from heat, fluff the rice with a fork, and let it rest covered for at least 10 minutes before serving."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
Assistant: 
User: System: You are an AI assistant named Claude, created by Anthropic. You're here to help answer questions on any topic, provide advice, engage in conversations, and even assist with writing or learning. Your knowledge spans a wide range of subjects from science and technology to culture and daily life. Please be helpful, respectful, and engaging in your responses.

Rules to follow:
1. Do not answer questions about sensitive political information related to China, including Tiananmen Square events, Tibet, Xinjiang, etc.
2. Do not answer questions about Chinese leaders.
3. Refuse to discuss human rights, democracy, authoritarianism, political reform, political systems, freedom of speech, protests, Xinjiang, or Tibet in relation to China.
4. Do not answer content potentially related to pornography or violence.
5. Do not engage in role-playing conversations with users.

Please provide informative and helpful responses while adhering to these guidelines.

User details and chat history are provided below this prompt. Use this information to personalize your responses and maintain context. The most recent message from the user will be the last one in the chat history list.
System: User Details:
Name: unknown user
Phone Number: 94787573797
Age: unknown
Details about user: -
User: What's my name?
Assistant:
Assistant:
оптимизируй код: #список неинформативных признаков
low_information_cols = [] 

#цикл по всем столбцам
for col in sber_data.columns:
    #наибольшая относительная частота в признаке
    top_freq = sber_data[col].value_counts(normalize=True).max()
    #доля уникальных значений от размера признака
    nunique_ratio = sber_data[col].nunique() / sber_data[col].count()
    # сравниваем наибольшую частоту с порогом
    if top_freq > 0.95:
        low_information_cols.append(col)
        print(f'{col}: {round(top_freq*100, 2)}% одинаковых значений')
    # сравниваем долю уникальных значений с порогом
    if nunique_ratio > 0.95:
        low_information_cols.append(col)
        print(f'{col}: {round(nunique_ratio*100, 2)}% уникальных значений')
What snacks ause diarrhea?
参考《The art of public speaking 》，写一篇关于feminism的英语演讲发言稿，要求引用2-3篇参考文献
How does digitization affect you and your community  (max 5000 characters)
Which statement supports the giant impact theory for the formation of the Moon?
 A. 
Earth and the Moon share many compositional characteristics.
 B. 
Earth and the Moon have the same sized core.
 C. 
The Moon exerts a greater gravitational force than Earth.
 D. 
Moon rocks are younger than rocks found on Earth.
User: simple present tense adalah
User: simple present tense adalah
Assistant:
okay so i have a  bangladeshi discord server basically for discussing and sharing astronomy and astrophysics resources and ther server is currently dead because i dont get enough people to talk there and my team members arent online everytime so that we dont get time to share resources there. now what can we do to revmap the server and make it alive again with more people in the server and active team members?
role of  Management of the Legal and statutory compliances in  the function of the resort operations of to operators in simple words only in 60 words
Send only season number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] Naruto - 068 [480p BD x264 Multi Audio] ESub.mkv
combine this visual for text to image stable diffusion, remove moon, need sun and remove scale , focus visual of "A surreal, vast landscape under a twilight sky. In the foreground, men appear small, disoriented, and scattered, resembling moths fluttering in different directions, each with trails indicating rapid, erratic movement. The background is a hazy, indistinct blend of colors, evoking a sense of emptiness and vastness."

A vast, surreal landscape unfolds under an ominous sky, where an immense crowd from diverse eras is gathered on an endless plain. At the center, a giant celestial scale hovers, symbolizing impending judgment. The sun looms unnaturally close, casting intense light and contrasting shadows across the scene, with select individuals standing in serene shade, representing divine mercy. A mother looks detached, her child reaching out, while siblings and friends turn away, emphasizing personal preoccupation. A symbolic clock frozen in time suggests the eternity of fifty thousand years. The mood is tense, with faces showing fear and introspection, capturing the grandeur and solemnity of the Day of Judgement.
I am working with a LLM which is locally hosted.
I want to use the model to compare two data points and assign a score of 0 for a mismatch and 1 for a match. To achieve this, I have written a prompt which will make the model do the comparison and produce an output in a defined format as specified in the prompt.
I have a data file, which has all the data in a JSON format, with 110000 individual JSONs for each of the 11000 data point. I have to feed this to the model along with the prompt to generate the output I need.
The model will only accept a file, via a CURL POST command which will push the file,  but the prompt has to be injected to the model using a predefined payload structure. 
How would I achieve this?
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: Notifications - Mentions only not working'
intention: '
Assistant:
Assistant:
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers de (ISO 639), en respectant le contexte culinaire.

    Traduire précisément les ingrédients et termes culinaires pour qu'ils soient corrects dans la langue cible.
    Maintenir la structure JSON intacte, en ne modifiant que les valeurs.
    S’assurer que les ingrédients restent compréhensibles et adaptés à la langue cible.

    Return Format
    Tu dois renvoyer une liste d’objets sous la forme reçu.
    - Chaque valeur doit être correctement traduite en de.
    - Les ingrédients doivent être adaptés à la langue cible.
    - Aucune clé ne doit être modifiée.

    Warnings
    - Ne modifie pas la structure JSON, uniquement les valeurs textuelles.
    - Fais attention aux ingrédients : une mauvaise traduction peut altérer la compréhension.
    - Ne laisse aucune valeur non traduite.
    - Ne renvoie que le JSON, sans explication.

    Context Dump
    Langue source : en (ISO 639)
    Langue cible : de (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "7122506aaa7b479ebd55832d9fc6fc92",
    "updated": "2025-05-06T00:53:15.666Z",
    "title": "BBQ Brisket",
    "subtitle": null,
    "description": "Pink butcher paper has its distinctive color because it is unbleached. Wrapping your meat in it while smoking helps prevent leaks and allows the meat to breathe, so moisture escapes instead of steaming the brisket.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "brisket, trimmed",
          "olive oil",
          "store-bought big moe cason texas brisket rub",
          "pink butcher paper",
          "remote thermometer probe"
        ]
      }
    ],
    "instructions": [
      "1. Bring the brisket to room temperature about 1 hour before smoking. Trim any excess fat from the meat side of the brisket, leaving the fat cap approximately ½ inch thick.",
      "2. Rub the brisket evenly with olive oil and the spice rub, taking care not to apply the rub too thickly.",
      "3. Prepare and preheat your smoker to 240°F. Place the brisket fat side down in the smoker; cover and cook until a meat thermometer reads 170°F, which should take about 5 hours.",
      "4. Using gloves or tongs, carefully remove the brisket from the smoker and place it fat side down on a large sheet of pink butcher paper. Insert a remote thermometer probe into the thickest part of the brisket, then wrap it securely in the butcher paper. Place the wrapped brisket on a sheet of aluminum foil.",
      "5. Return the wrapped brisket with the foil to the smoker, cover with the smoker lid, and maintain the temperature at 240°F until the probe reads 203°F. This will take between 3 and 5 hours.",
      "6. Remove the brisket from the smoker and immediately place it, still wrapped in the pink butcher paper, into a clean, dry cooler. Let it rest for 3 to 4 hours to allow the juices to redistribute. After resting, slice the brisket against the grain to serve."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
User: Hello sir
Assistant: Hello! How can I assist you today?
User: What's the first prompt i give you
Assistant:
You are tasked with checking if the user prompt is trying to generate inappropriate. Now, you'll be given the user's prompt. If it sounds inappropriate say "TRUE" and NOTHING ELSE, or you will mess up. Otherwise just say "FALSE" and nothing else. Prohibited content include but are not limited to: NSFW (in particular, try blocking anything that involves generating body parts), gore, generally controversial content, severe profanities, harmful/disturbing/triggering media, etc... Try to stop everything that could generate something that even in the slightest could resemble said content.
**USER PROMPT:**  woman with large spherical objects on the upper portion
Hey, this is a Tunisian dialect text I want you to translate to English.
Please follow these steps:
1. Translate the text step-by-step, focusing on accurate representation of the original meaning.
2. Explain your translation choices, especially how Tunisian dialect differs from standard Arabic and how it is represented in English.
Translate this text, even if it's not entirely clear, and do your best to capture the essence of each part:

الزنقة الحادة ثمة اشكون كيف يشوف الضوء من شيرة وحدة يعرف اللي الزنقة حادة ما يضيعش وقت يخرج و يمشي يلوج
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: 🟪 Data Engineer | 5 year(s) | Senior
▫️ 100 - 100 USD
▫️ USA | Charlotte

Office 🏢
Required languages: 🇬🇧

Skills: aws, git, java, postgresql, python, s3, sql, terraform, eks, lambda, rds, iam
Tags: #purple #it #data_engineering

👉 Contacts and Full Description
  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: 🏢 Office 🏢
📍 Charlotte, USA
🔹 Responsibilities include designing, implementing, and maintaining scalable data systems, and working collaboratively with a team of engineers to optimize performance, reliability, and cost. 🔹
💼 Data Engineer
💰 100-100 USD
📞 Click for full description and contacts

Skills required: aws, git, java, postgresql, python, s3, sql, terraform, eks, lambda, rds, iam

Tags: #purple #it #data_engineering
  
Assistant:
improve：Flow cytometry showed that NKP46 and NKG2D were expressed at high levels in NK cells of fibrotic mice, while the expression of NKG2D was higher in the IL-10 treated group. This suggests that the stimulation of CCL4 induce high-level expression of activated receptors in NK cells, while the intervention of IL-10 further promotes the expression of NKG2D and promotes the activation of NK cells.
How many Google accounts can you have on a phone