agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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: We could incur product liability losses as a result of repair and replacement costs in response to customer complaints or in connection with the resolution of contemplated legal proceedings relating to such claims. Successful claims for damages may be made that are in excess of our potential insurance coverage. Our insurance could become more expensive and there is no assurance that insurance will still be available on acceptable terms. In addition to potential losses arising from claims and related legal proceedings, product liability claims could affect our reputation and relationships with key customers. As a result, product liability claims could materially impact our financial condition and operating results. In order to develop additional revenues and further our current products, we have plans to invest in product(s) that are synergistic with our current products. Investing in these products’ adaptive technologies or business models may or may not be successful. They may not be timely nor cost-effective, and there is no assurance the desired results will be achieved. We may need to increase our inventory levels, increase our accounts receivables, and be exposed to bad debt and obsolete inventory, and this would negatively impact our operations and balance sheet.
Assistant:
Ovrsett til Norsk : We are a Polish software house that eliminates the need for building and maintaining your own programming departments, project managers, interface designers, or user experience specialists.

Our team consists of several specialists in various technologies, including JavaScript, Angular, React, Vue.js, Python, Node.js, Java, .Net, C#, and PHP. We will build a team for you that will focus on executing assigned tasks and projects according to your expectations.

An English-speaking and dedicated Tech Leader ensures the adherence to all collaboration requirements.

Would you like to check if our specialists meet your needs?
give me a response to ```Absolutely! With courage, determination, and resourcefulness, we can take on any challenge and explore the unknown. With strength, resilience, and optimism, we can bring hope to the darkest places, create a brighter future, and make a positive impact. Let's never give up on our dreams, seize the moment, and take that first step - the world is ours! Let's make our dreams a reality and bring hope to the world!``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
give me a response to ```Not sure I caught that, Zoubida38. Ready to face this challenge together? I know we can do it with our team of reliable guardians, silent strengths, and cosmic wonders. Let's take on this challenge with optimism, resourcefulness, and determination. Ready? Let's go!``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
Provide only relevant keywords to facilitate an online search related to the user's message and remember that they should be few words and should not be repetitive: suggest some bl manga
Goal :
    Générer une suggestion détaillée et visuellement attrayante pour la présentation finale d'un plat, basée sur le titre, les ingrédients et les instructions de cuisine. Cette description servira à créer une image du plat.


    Return Format :
    Renvoies un objet JSON respectant strictement cette structure :
    json
    {
        "data": <description>
    },
    - description doit être un prompt dans le but de générer une image et écrit en anglais.


    Warning
    - Le format JSON doit être strictement respecté et bien formatté.
    - Ne renvoie que le JSON, sans explication.


     Context Dump
    Données de la recette fournies :

    json
    {"title":"Eclair Freshness","ingredients":"For the recipe : whole milk,fresh verbena,limes,granulated sugar,egg yolks,cornstarch,sheets of gelatin,unsalted butter,cherries,fondant,yellow and red food coloring","instructions":"Bring the milk to a boil and let infuse for 15 minutes covered with the verbena and lime zest. Strain.\nMix the sugar, egg yolks, and cornstarch in a bowl and pour the boiling milk over it.\nReturn to the heat until 30 seconds after boiling, stirring vigorously.\nAdd the gelatin previously softened in water.\nTransfer your cream to a bowl and cover it with plastic wrap.\nWhen the cream's temperature reaches 45°C, blend and gradually add the butter.\nStore in an airtight container for at least 2 hours in the refrigerator.\nCut the éclairs in half lengthwise. Fill them with verbena cream and add 3 pitted cherries per éclair.\nHeat your fondant with a bit of water to 37°C, and add the yellow coloring.\nDip your éclairs in the fondant and smooth with your finger; color the remaining fondant with the red coloring and pour into a parchment piping bag.\nPipe a swirl of red fondant on your assembled éclairs topped with a cherry and a leaf of verbena.\nChill in the refrigerator before serving. Best enjoyed as an afternoon snack.","region":"FR"}
Send only episode number from below text like 01, 02, 03.etc without any extra text.

@AniBlue_India 365 Days to the Wedding S01E07 480p x264[Japanese   English   Tamil   Telugu   Hindi] DD2.0  ESub – Toonworld4all

Watch online 👇
https://v2links.me/PIqG

How to Watch online and download 👇
https://t.me/ 2qMIX86J13diOTM1

For more Anime updates follow 
@AniBlue_LinZzz 
For Indian dub Anime Update follow 
@AniBlue_India 
For Manga updates follow 
@AniBlue_Manga
To what extent should we promote environmental-friendly tourism due to the
impact of climate change? Discuss the benefits and drawbacks of eco-tourism to
climate change
(In the school literature clubroom…)

Monika: “There! Everything’s all set up for today’s meeting. Now we just need Natsuki.”

Sayori: “I wonder where she could be. She’s never late.”

Yuri: “Maybe she got caught up in one of her baking projects. She does love to bake, after all.”

Monika: “Well, let’s not wait around for her. We can start the meeting and catch her up when she arrives.”

Sayori: “Also, since when did my desk get covered with vines?”

Monika: “Hmm, that’s strange. I didn’t notice that before. Maybe it’s just some overgrown plant from the window sill.”

Yuri: “Or perhaps Natsuki decided to add a touch of nature to the room with some decorative vines. She does have a creative flair after all.”

Sayori: “Well, it does give the room a cozy feel. I guess we’ll just have to wait and see what Natsuki has in store for us today. And hopefully, she’ll be here soon to explain the mysterious vines on my desk.”

(Meanwhile, at Natsuki’s place…)

Natsuki: “Never thought I’d be living with the eight Mana Spirits. Dryad, why do you always cover stuff with vines when I’m not looking?”

Dryad: “I’m sorry, Natsuki. It’s just my nature to bring life and greenery wherever I go. But don’t worry, I’ll make sure to keep the vines under control next time.”

Natsuki: “Yeah, yeah. Just try not to make a mess in the literature clubroom again. My friends are gonna think I’ve gone crazy with all these plants.”

Dryad: “I’ll do my best, Natsuki. But remember, a touch of nature can bring beauty and tranquility to any space.”

Natsuki: “Yeah, yeah. Just keep it down in there, okay? I’ll be back soon to take care of you guys, so behave yourselves. Especially YOU, Shade! I swear, you’re the most
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
examples:

review: really disappointed with your customer services team. Ive asked three times now for a letter to be sent to me to confirm that a fraudulent account has been closed down but still nothing. Ask to speak to managers but theyre always in a meeting. #fraud #CustomerExperience
intention: bug report
review: I don't need a dm. Why don't your stores carry what I need for my phone?
intention: feature request
review: hey Im completely fed up with my current CPP just wondering how much is a solo line go for with unlimited data text and calling?
intention: other
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
examples:

review: really disappointed with your customer services team. Ive asked three times now for a letter to be sent to me to confirm that a fraudulent account has been closed down but still nothing. Ask to speak to managers but theyre always in a meeting. #fraud #CustomerExperience
intention: bug report
review: I don't need a dm. Why don't your stores carry what I need for my phone?
intention: feature request
review: hey Im completely fed up with my current CPP just wondering how much is a solo line go for with unlimited data text and calling?
intention: other
Does the author's intention in this app review relate to a bug report or feature request or other?
review: Bahahahaha, they really just said some like its two or three people.'
intention: '
Assistant:
Could you give me a handful of ideas for game enemies with complex behaviour? I have just finished implementing a complex nav mesh system that can check for conditions per coordinate. For example an enemy that approaches the player from behind and quickly hides if the player sees it, or occasionally attacks if there is nowhere to hide.
Cafe-owner Stella (59) has previously hypnotized employee Dave (21), implanting suggestions that he gets easier to hypnotize every time, and to consciously forget he was ever hypnotized. In this script, on a hot summer day, Dave’s younger sister Ruth, who he’s always bickering with, enters the cafe and gives him cheek. Observing their dynamic, Stella introduces herself to Ruth and, liking the girl, tells her about the hypnosis, and proceeds to demonstrate a hypnotic induction on Dave on the spot for her, commanding him to be his smirking sister’s foot-servant.
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: ['store_sales', 'store_returns']. Below is the join graph for these fact tables:
    ['store_sales(ss_item_sk) references item(i_item_sk);', 'store_sales(ss_store_sk) references store(s_store_sk);', 'store_sales(ss_cdemo_sk) references customer_demographics(cd_demo_sk);']
    ['store_returns(sr_return_time_sk) references time_dim(t_time_sk);', 'store_returns(sr_addr_sk) references customer_address(ca_address_sk);', 'store_returns(sr_store_sk) references store(s_store_sk);']
4. The original query must employ 2 joins.
5. The original query must employ the following aggregate functions: ['avg', 'count'].
6. The original query must employ the following operators in its WHERE clause: ['avg', 'sum'].
7. The original query must select a column that casts a ['string as a boolean'].
8. 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 ```.
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: Jiraiya is the name of the user you are talking to!
User: It was a prediction model. It predicted the programming language the user should learn based on their intetest
Assistant: That’s so clever! 🤖✨ So it’s like a personalized guide for people? I love that! What kind of interests did you use to figure out the best programming language for someone? Did you have any surprising results? 😄📊✨
User: Yea it had awesome results and it was fckkng accurate
Assistant: Whoa, that’s amazing! 🎉🔥 It must feel really good to see it work so accurately! Did you get to test it with friends or family? I bet they were surprised by the results! What was the coolest part about making it? 😃💡
User: I tested with <@1218560906284498967>
Assistant: Oh, nice! That's awesome you got to test it with someone! Did they end up getting a programming language they actually liked? That must have been super fun to watch! 😄💻 What did you think of their reaction?
User: It was awesome
Assistant:
If a Optus mobile number has been disconnected, will recharging the number fix the disconnection
help me replace my bootscreen of my html page with codepen one
System: You are a JSON assistant. You only reply in valid JSON and never in normal text. Request a rating for the complexity of a video based on the provided details. The rating should be a single "result" property containing a floating point number between 0 and 1. Here's a guide for the rating:
0.0 - Perfect for total newcomers: Simple words and phrases, clear visuals and context.
0.3 - Easy: Simple sentences and common words suitable for beginners. The video might have visual aids and context for better understanding.
0.5 - Moderate: Intermediate sentences and a wider range of vocabulary. Some idioms might be used, requiring some background knowledge.
0.6 - Known Better: The video includes specific vocabulary and ideas. Viewers should have a solid understanding of the language to comprehend fully.
0.8 - Challenging: Advanced vocabulary and complex sentences. The video may have detailed discussions that need a strong command of the language.
1 - Expert: The content is designed for fluent speakers, with niche terms and ideas that might not be known to all native speakers.
User: Caption: 비디오를 다섯 번 반복하면 잘 들려요 언제 계약이 언제 약하죠 계약은 보매 해요 계약은 초보에 해요 언제 약이죠 언제 약하죠 계은 보매 해요 계은 초보에 해요 언제 휴가지 언제 휴가예요 휴가는 여름에 있어요 휴가는 한여름에 있어요 언제 휴가지 언제 휴가예요 휴가는 여름에 있어요 휴가는 한여름에 있어요 언제 졸업해요 언제 졸업이 졸업은 가을에 해요 졸업은 초가을에 있어요 언제 졸업해요 언제 졸업이 졸업은 가을에 해요 졸업은 초가을에 있어요 언제 스키 타요 언제 스키 타죠 스키는 겨울에 타요 스키는 한겨울에 타요 언제 스키 타요 언제 스키 타죠 스키는 겨울에 타요 스키는 한겨울에 타요 언제 커피 마셔요 언제 커피 마시죠 커피는 오전 7시에 마셔요 커피는 오전 7시 에 마셔요 언제 커피 마셔요 언제 커피 마시죠 커피는 오전 7시에 마셔요 커피는 오전 7시에 마셔요 언제 일하죠 언제 일해요 일은 시부터 시까지 해요 일은 시부터 시까지 해요 언제 일하죠 언제 일해요 일은 시부터 시까지 해요 일은 시부터 시까지 해요 언제 저녁 먹어요 언제 저녁 먹죠 저녁은 오후 7시에 먹어요 저녁은 오후 7시에 먹어요 언제 저녁 먹어요 언제 저녁 먹죠 저녁은 오후 7시에 먹어요 저녁은 오후 7시에 먹어요 언제 자요 언제 자죠 잠은 밤 9시에 자요 잠은 밤 9시에 자요 언제 자요 언제 자죠 잠은 밤 9시에 자요 잠은 밤 9시에 자요 여러분은 언제 자요 저는 밤 시에 자요 가끔 밤 11시에도 자요
Title: 29 Basic Korean Vocabulary for Beginners: When? [#34]
Description: #한국어, #koreanlanguage, #کوریئنزبان, #اللغةالكورية, #LínguaCoreana, #LangueCoréenne, #कोरियाईभाषा, #IdiomaCoreano, #BahasaKorea, #KoreanischeSprache, #KoreanNouns, #कोरियाईसंज्ञाएँ, #SustantivosCoreanos, #NominaKorea, #کوریئناسماء, #الأسماءالكورية, , #NomsCoréens, #KoreanischeNomen, #한국말, #한국어단어

Highlighting stationery to provide comprehensible input and to enhance memory. Fed up with memorizing words that quickly fade from memory? The conventional approach manages to retain less than 35% words once learned. Professor Stephen Krashen's 'comprehensible input' method proves significantly more effective, with a retention rate exceeding 75%. Let's begin!

The theory behind the comprehensible method: https://youtu.be/2vn2QFNV5yM; 
The plan for the mastery: https://youtu.be/inSZTvE8Eys
Language: ko
Assistant:
<!DOCTYPE html>
<html>
<head>
<meta charset=“UTF-8”/>
<title>Multiplayer Chat Server</title>
<!-- no html form --!>
<style>
.nickname {
color: blue;
}

.message {
color: black;
}

.error {
color: red;
}
</style>
<script>
// WebSocket
var ws;

function connect() {
// Connect to the WebSocket server
ws = new WebSocket(“ws://localhost:8080”);

// Set up event handlers
ws.onopen = function() {
console.log(“Connected to server”);
};

ws.onmessage = function(event) {
var data = JSON.parse(event.data);
if (data.type === “message”) {
displayMessage(data.nickname, data.message);
} else if (data.type === “error”) {
displayError(data.message);
}
};

ws.onclose = function() {
console.log(“Connection closed”);
};
}

function sendMessage() {
var nickname = document.getElementById(“nickname”).value;
var message = document.getElementById(“message”).value;

// Create a JSON object with the message data
var data = {
type: “message”,
nickname: nickname,
message: message
};

// Send the JSON object to the server
ws.send(JSON.stringify(data));

// Clear the input fields
document.getElementById(“message”).value = “”;
}

function displayMessage(nickname, message) {
var chatBox = document.getElementById(“chatBox”);
var messageElement = document.createElement(“p”);
messageElement.className = “message”;
messageElement.innerHTML = “<li>
Provide the written-out form of the input text in Vietnamese. If the text is fully not Vietnamese, return empty. 
Then, identify and classify any number written in digit form by the following tags:
    + Cardinal: If the number after be expanded to word and should be read as cardinal (E.g. 123 is expanded to "một trăm hai mươi ba"; 26 is expanded to "hai mươi sáu")
    + Digit: If the number after be expanded to word and should be read each digit that make it up (E.g. 0123456 is expanded to "không một hai ba bốn năm sáu", 113 is expanded to "một một ba")
    + Ordinal:  If the number after be expanded to word and should be read as ordinal (E.g. 1 is expanded to "nhất", 2 is expanded to "nhì", 4 is expanded to "tư")

The number can be alone as a single word or a part of a word (E.g. "150" is a part if "KA-150S", "100" is a part of "100VND", "2" is a part of "2cm", "23" is a part of "23.1").

Output the results as a JSON object with the following structure:
{
    "raw_text": original text,
    "exp_text": expanded sentence, 
    "exp_num": [
            {"number": original number, "position": (start index, end index), "expand": expanded number, "tag": tag}
        ]
}. 

Example input: {"text": "thứ 4, ngày 1/6, bão nhiệt đới: tốc độ gió từ 39 - 73m 1 phút"}. 
Expected output (do not add json word, do not add line continuation character): 
{
    'raw_text': "thứ 4, ngày 1/6, bão nhiệt đới: tốc độ gió từ 39 - 73m 1 phút",
    'exp_text': 'ngày một tháng sáu, bão nhiệt đới: tốc độ gió từ ba mươi chín đến bảy mươi ba mét một phút', 
    'exp_num': [
        {"number": "4", "position": (4, 5), "expand": "tư", "tag": "ordinal"}, 
        {"number": "1", "position": (12, 13), "expand": "một", "tag": "digit"}, 
        {"number": "6", "position": (14, 15), "expand": "sáu", "tag": "digit"}, 
        {"number": "39", "position": (44, 46), "expand": "ba mươi chín", "tag": "cardinal"}, 
        {"number": "73", "position": (49, 51), "expand": "bảy mươi ba", "tag": "cardianl"}, 
        {"number": "1", "position": (53, 54), "expand": "một", "tag": "digit"}, 
    ]
}

Input: 'text': Cấp II và III
Story prompt: "Dude, I don't think you realize the controversy you've created and found yourself in." said Taylor. "Why? It's ingenious." answered Paul. Taylor replied. "Because you called it "Palesraelistine"! Really, Paul? A portmanteau of Israel and Palestine?!"
where i can sell article or short story online
Generate an image of a burger