agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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: Ek was lambasting Apple and Google for 30% fees at their app stores as a new competition bill goes through U.K. Parliament.
Assistant:
Freedom planet and Naruto characters in Kid Naruto was the one who took the egg lilac was in while.
Write an extremely long story set in the city about a man named Steven. Hes depressed so he decides to drink a potion thatll turn him into a blonde busty bimbo college girl. Have the story start with Steven alone in his apartment transforming, have the mental and vocal changes be first. Once she's done transforming she decides on the name Everest. Have the rest of the story be about Everest loving life in college. Have 5 mind bogglingly long chapters. Have the message reach the length limit. Have each message be one full chapter. Ask at the end if id like to continue. Have alot of dialogue.
Our title is "35 Hollywood Celebrities Who RUINED Their Careers With PLASTIC SURGERY". Create a long detailed text about the subject name and their summary i give you.  Focus only on the Subject name and there following Summary. Subject Name: [Lisa Kudrow] Summary: [Lisa Kudrow underwent a rhinoplasty at age 16, which she described as life-changing and transformative for her confidence and appearance.]

            Instructions:{ Please write an interesting script with the given context without adding any introductory or concluding remarks. 
            In case you find some more information about this topic then use all information you have to create a large text about this topic.The text should as long as possible and in best case around 1000 characters long.
            Ensure that there are no emojis, text within brackets, parentheses, or similar symbols in the response.
            Provide a single coherent response without rephrasing or repeating titles or headings. Avoid enumerations or bullet points. 
            The text is intended for older adults; use simple vocabulary appropriate for a middle school reading level. Provide concise, direct answers without introductions or conclusions. 
            Use transition words at the beginning of your reply instead of the subject name and leave the end open without a concluding sentence. 
            It is very important to provide only the final output without any additional comments or remarks. 
            Please provide the text directly without any labels such as "Conclusion:", "Introduction:", or "Transition:". Focus only on delivering the requested content without any headings or section titles.
            Please respond to my question, and always conclude your reply with the words "Reply finished" to indicate that your response is complete. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.}
         Please respond to my question, and always conclude your reply with the words 'Reply finished' to indicate that your response is complete. Ensure that the text is fully formed without any placeholders such as '[Conclusion]' or '[Placeholder]'. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.
write a function in c# to convert json to xml using System.Text.Json
give me a response to ```[Loving] I'm sure that was a lot of fun, but let's stay focused here and keep the conversation going.``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers es (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 es.
    - 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 : es (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "74cac1193d2f406c86a9cf9fed1a4918",
    "updated": "2025-04-25T15:21:39.458Z",
    "title": "Gut-healing bone broth",
    "subtitle": "A restorative broth recipe",
    "description": "This nourishing bone broth is rich in nutrients and ideal for gut health. It's a simple recipe that can be made in a slow cooker for maximum flavor and convenience.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "onion, chopped",
          "apple cider vinegar",
          "bay leaves",
          "celery stalks, chopped",
          "beef marrow bones",
          "carrots, chopped",
          "garlic cloves, peeled",
          "filtered water, to cover"
        ]
      }
    ],
    "instructions": [
      "1. In a 6-quart slow cooker, combine the bones, garlic, carrots, celery, onion, bay leaves, and vinegar. Add filtered water to cover the ingredients. Set the cooker on low and allow it to simmer for a minimum of 8 hours, up to 24 hours for more flavor.",
      "2. Carefully skim off any foam that forms on the surface. Using a fine-mesh sieve or cheesecloth, ladle the broth to strain out the solids. Transfer the broth to airtight glass containers. It can be stored in the refrigerator for up to one week; reboil before use. For freezing, ensure the broth is completely cool, then fill jars leaving an inch of space at the top for expansion, and store for four to five months."
    ],
    "notes_ingredients": "Ensure all ingredients are fresh for maximum flavor and health benefits.",
    "notes_instructions": "Adjust cooking time according to your slow cooker settings; some may cook faster or slower than others."
  }
]
generate an image where : two large boars are lying under a bush, the bush hangs over their heads. sunny autumn day. Flies fly near the wild boars. the picture is so distant that you can see the boars from head to toe. boars behave like people and look at their phones, Tik Tok is open.
make it simpler

      def wrap(execution_id, &)
        previous = current if current?
        self.current = build(execution_id:)
        yield
      ensure
        self.current = previous
      end
    end
以太帧头
Assistant: You are a course recommendation AI. Return ONLY a JSON array containing course analyses. Your response must be a single valid JSON array.
User: Analyze these courses for: "I want to learn TensorFlow"

**Return formate remove JSON conflicts**:
[
    {
        "courseId": "<id>",
        "isMatch": boolean,
        "matchScore": <0-100>,
        "enthusiasm": "👍" | "👍👍" | "👍👍👍",
        "reasoning": "explanation",
        "analysis": {
            "relevance": "text",
            "skillAlignment": "text",
            "benefits": ["benefit1"],
            "learningOutcomes": ["outcome1"],
            "recommendedPath": ["step1"]
        }
    }
]

Courses to analyze:

ID: 678116a15f2b992ba1a4aa06
Title: TensorFlow for Deep Learning
Description: Master TensorFlow for deep learning.
Difficulty: intermediate
Similarity: 0.52
Prerequisites: Python, Machine Learning Basics
---

Important: Return ONLY the JSON array, no additional text or formatting.
Assistant:
how to get connected with dialup in 2023
Create a text about Marcia Wallace as role Mrs. Robbins in 1969 tv series The Brady Bunch. Dont write much about the show itself, we already have a full summary in our text, thats why focus the role and then, move to the career and life details after the show ended. Mention the most interesting parts and not only career wise. More importantly are life details, for example scandals and personal hardships. The tone should be serious, dark and mysterious. The end part should be about the last known information, to update the viewer. If there is no information then think about a way to conclude nicely.  Focus on key facts, events, and specific challenges in their life or career, avoiding vague or generalized statements. If there are notable incidents, name them explicitly. The style should be modern, concise, and suitable for a documentary.

    Additional Instructions:
    Please respond to my query without adding any introductions, conclusions, or extra remarks. 
    The response should be as detailed as possible, aiming for approximately 1000 characters. 
    Avoid using emojis, brackets, parentheses, or similar symbols. 
    Provide a single, coherent answer without repeating or rephrasing titles, headings, or using bullet points or enumerations. 
    Since the content is aimed at older adults, keep the language simple, around a middle school reading level, while delivering concise, direct responses. 
    It is crucial to only provide the final content without any prefatory comments or labels like "Introduction:", "Conclusion:", or "Transition:". 
    The response should be fully formed with no gaps, placeholders, or incomplete sections, and it should flow naturally from beginning to end. 
    Please always conclude the response with "Reply finished" to confirm completion. Ensure the entire response is presented before this phrase, with no cut-offs. 
    Thank you.
Chromochemical (Color-chemistry) classification for gas giants:
H - Frigidian: Clear clouds, devoid of chemistry. (#f5f6ff)
N - Rhodonian: Clouds of nitrogen, carbon monoxide, neon, oxygen. (#fff5f5)
M - Methanian: Clouds of methane, ethane and argon. (#c4eeff)
P - Springian: Cloudless, organic and sulfur hazes. (#9ad4bd)
T - Tholinian: Tholin hazes, but nitrogen and methane, like atmosphere of Titan. (#ff9133)
S - Sulfurian: Clouds of hydrogen sulfide, ammonium hydrosulfide, sulfur dioxide. (#fff2ba)
A - Ammonian: Ammonia clouds, but hazes of tholin and phosphorus. (#fff1e0, #ffdca1, #d99559)
W - Waterian: Water clouds. (#ffffff)
V - Acidian: Clouds of sulfuric/phosphoric acid. (#fff8d4)
C - Navyean: Cloudless, methane hazes. (#175973)
G - Thiosulfian: Hazes of sulfur and organosulfur. (#cecda0)
L - Siliconelian: Hazes of siloxane and fluorosiloxane. (#998c7e)
Z - Chloridian: Alkali metal chloride clouds. (#9bab7f)
K - Alkalian: Clouds of alkali metal sulfide and lithium fluoride, but alkali metal hazes. (#271f1d)
Y - Erythronian: Clouds of chromium/manganese oxide/sulfide. (#9b2d2d, #c75830)
E - Silicatian: Clouds of silica and magnesium/iron silicate. (#7e8c77, #788a8d)
R - Rutilian: Refractory metal oxide hazes. (#141313)
U - Corundian: Clouds of corundum, calcium oxide, perovskite. (#a10d99, #f2e6f2, #b59ca9)
B - Carbidian: Clouds of refractory metal carbide, but carborundum hazes. (#292017)
F - Fuliginian: Soot hazes. (#030004)
According to Norquest (2007), Hlai, which also belongs to the Kra-Dai language family, is the largest minority language spoken in Hainan. Patterning with other Kra-Dai languages, oblique phrases also appear in the post-verbal position in Hlai. Therefore, it is very likely that Hainan Min undergoes contact with Hlai, as argued by Zeng (2023), which results in the use of post-verbal oblique phrases in Hainan Min. The immigrant languages demonstrate similar phenomena as well. For instance, the optional usage between finite and non-finite subordinate clauses in Dutch Turkish (see Valk & Backus 2013). Subordination is predominantly non-finite in Turkish (see Göksel & Kerslake 2005). However, the Turkish immigrants in the Netherlands do not have such a preference on non-finite expressions, contrary to their homeland monolingual speakers. In an elicited imitation task, the Dutch Turkish produces a nearly equal number of finite (48%) and non-finite (52%) subordinate clause whereas the Turkish monolinguals clearly prefer the non-finite type (73%) over the finite type (27%). Valk & Backus (2013) conclude that this change is due to the contact between Dutch and Turkish in that subordination in Dutch only appears in finite form for the corresponding sentences in Turkish. To summarize, in this section, we demonstrate that pre-verbal and post-verbal adverbs in Wu are both first-merged independently in the structure. The targeted apparent optional constructions are resulted from the contact between Wu and Mandarin. As the model language, if the influence of Mandarin continues, the post-verbal adverbs in Wu may fade away in the end, which is exactly the case for the north-western sub-varieties in Wu. Furthermore, the current study suggests that optional constructions are one of the plausible outputs when two minimally different grammars are in contact.
Can you rewrite this code to be more optimized for expo react native? You can use typescript, async functions and promise

import * as SQLite from 'expo-sqlite';

const db = SQLite.openDatabase('myDatabase.db');

export const init = () => {
  return new Promise((resolve, reject) => {
    db.transaction((txn) => {
      txn.executeSql(
        'CREATE TABLE IF NOT EXISTS people (id INTEGER PRIMARY KEY AUTOINCREMENT, name VARCHAR(20), age INT)',
        [],
        () => {
          resolve();
        },
        (err) => { // <-- fixed error here
          reject(err);
        },
      );
    });
  });
};

export const insertPerson = (name, age) => {
  return new Promise((resolve, reject) => {
    db.transaction((txn) => {
      txn.executeSql(
        'INSERT INTO people (name, age) VALUES (?, ?)',
        [name, age],
        (_, result) => { // <-- fixed error here
          resolve(result);
        },
        (err) => { // <-- fixed error here
          reject(err);
        },
      );
    });
  });
};

export const fetchAllPeople = () => {
  return new Promise((resolve, reject) => {
    db.transaction((txn) => {
      txn.executeSql(
        'SELECT * FROM people',
        [],
        (_, result) => { // <-- fixed error here
          resolve(result.rows._array); // <-- fixed error here
        },
        (err) => { // <-- fixed error here
          reject(err);
        },
      );
    });
  });
};
Write email to prospective client to see if had a good summer and thank for sharing details of potential partnerships over in Poland. finsh email by saying if needs any cash managment solutions i will be happy to help
What will happen if we have unlimited electricity for free. ?
Twistine is primarchic element, it’s nonmetallic halogen, atomic number is Tw and atomic number is 11. Appearance is deep blue gas with its bromine-like darkness. Name is derived from word twist.
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: 🟥 Senior Data Engineer | 5 year(s) | Senior
▫️ Software Technology

Удаленка 📡
Требуемые языки: 🇬🇧

Skills: aws, azure, clickhouse, kafka, mongodb, python, hadoop, spark, gcp, cassandra, neo4j, redshift, nosql, etl
Tags: #red #it #remote #data_engineering

👉 Контакты и полное описание
  PROMPT: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.

Ignore text's markdowm markup, use these emojis to highlight each section: 🏢 for employer, 💼 for title, 📍 for location, 🔹 for tasks, 💰 for salary, and 📞 for contact.

Each block should be on a new line, in the following format (keep emoji, replace text labels):
💼 title  
🏢 employer  
📍 location  
🔹 tasks  
💰 salary  
📞 contact details

Make sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.

==TEXT==

  SUMMARY: 🟥 Senior Data Engineer  
🏢 Software Technology  
📍 Удаленка  
🔹 Main tasks include working with cloud platforms like AWS and Azure, and utilizing technologies such as Kafka and MongoDB for data processing.  
💰 Salary details not provided.  
📞 Контакты и полное описание
  
Assistant:
How could a philosopher approach the goal of reaching genius-level intelligence?
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: We typically utilize derivative instruments to manage fluctuations in foreign exchange rates, interest rates and gasoline prices. The derivative instruments we use to manage our risk are usually in the form of interest rate swaps and caps and foreign exchange and commodity contracts. Periodically, we are required to determine the change in fair value, called the “mark-to-market,” of some of these derivative instruments, which could expose us to substantial mark-to-market losses or gains if such rates or prices fluctuate materially from the time we entered into the derivatives. Accordingly, volatility in rates or prices may adversely impact our financial position or results of operations and could impact the cost and effectiveness of our derivative instruments in managing our risks.
Assistant:
vscode timeout waiting for debugee to spawn

{
    // Use IntelliSense to learn about possible attributes.
    // Hover to view descriptions of existing attributes.
    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
    "version": "0.2.0",
    "configurations": [
        
        {
            "name": "Python Debugger: Django",
            "type": "debugpy",
            "request": "launch",
            "args": [
                "runserver","0.0.0.0:65000"
            ],
            "env":{
                "debug":"1"
            },
            "django": true,
            "autoStartBrowser": false,
            "program": "${workspaceFolder}/manage.py"
            
        }
    ]
}
User: hi
Assistant:  HelloHello! How can I assist you today?
User: how are you
Assistant:  I'mI'm doing great, thank you! How can I help you today?
User: i need phtot , can you generayte
Assistant:  II can help generate images! Could you please tell me more about the photo you'd like me to create? For example, what should be in the image, the style, or any specific details?
User: i need art of peshawar city 
Assistant:
make a image prompt of 3d scenery
Spawn request failed: 419 { "message": "CSRF token mismatch." }

// ==UserScript== // @name Agar-ar Spawn Button // @namespace http://tampermonkey.net/ // @version 0.4 // @description Adds a spawn button with a shortcut key 'E' on agar-ar.com // @match https://agar-ar.com/* // @grant none // ==/UserScript==

(function() { 'use strict';

window.addEventListener('load', function() {
    const spawnButton = document.createElement("button");
    spawnButton.innerText = "Spawn";
    spawnButton.style.position = "relative";
    spawnButton.style.margin = "20px auto";
    spawnButton.style.display = "block";
    spawnButton.style.backgroundColor = "#ff0000";
    spawnButton.style.color = "#ffffff";
    spawnButton.style.border = "none";
    spawnButton.style.borderRadius = "5px";
    spawnButton.style.fontSize = "16px";

    const mainElement = document.getElementById("main");
    if (mainElement) {
        mainElement.appendChild(spawnButton);
    } else {
        console.error("Element with id 'main' not found.");
    }

    // دالة للحصول على CSRF Token من الكوكيز
    const getCsrfToken = () => {
        return document.cookie
            .split('; ')
            .find(row => row.startsWith('XSRF-TOKEN='))
            ?.split('=')[1];
    };

    // دالة إرسال طلب Spawn
    const sendSpawnRequest = async () => {
        const csrfToken = getCsrfToken();
        if (!csrfToken) {
            console.error("CSRF Token not found.");
            return; // إذا لم يتم العثور على التوكن، لا تستمر
        }

        try {
            const response = await fetch("https://agar-ar.com/api/spawn", {
                method: "POST",
                headers: {
                    "Content-Type": "application/json",
                    "x-requested-with": "XMLHttpRequest",
                    "x-xsrf-token": csrfToken, // استخدام CSRF Token المحدد
                },
                body: JSON.stringify({})
            });

            if (response.ok) {
                console.log("Spawn request sent successfully!");
            } else {
                const errorData = await response.text();
                console.log("Spawn request failed:", response.status, errorData);
            }
        } catch (error) {
            console.error("Error sending spawn request:", error);
        }
    };

    spawnButton.addEventListener("click", sendSpawnRequest);

    document.addEventListener("keydown", (event) => {
        if (event.key.toLowerCase() === 'e') {
            sendSpawnRequest();
        }
    });
});

})();
create full game of flappy bird only using js.javascript
get started time of a process using psutil in poython