agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Assistant: Hello! How can i help you today?
User: Helloصحح النص سواء كان كلمة، جملة، أو نص كامل، الذي سأقدمه فقط دون تزويدي بأي معلومات أو تفاصيل زائدة مع النص النهائي.
Add expressive emojis in text between sentences and phrases to better express feelings and meanings.
 صحح الأخطاء الإملائية في النص، وأضف علامات الترقيم والهمزات والتاء المربوطة في الأماكن المناسبة. (ar).
Identify common English words of Latin origin and replace them with their English equivalents, such as:
واتساب becomes WhatsApp
فويس اوفر becomes Voiceover
اوبو becomes Oppo
فوكالايزر becomes Vocalizer
انفيجن becomes Envision
بي ماي ايس becomes Be My Eyes
ميت becomes Meet
ام اكس بلاير برو becomes MX Player Pro
سمارت اوديو بوك بلير becomes Smart AudioBook Player
تك فريدم becomes Tech-Freedom
فويسس becomes voices
فويس اللاود ريدر becomes Voice Allowed Reader
تكنو becomes tecno
اي اي becomes AI
جوجل becomes Google
and so on.
Please provide me with the processed text only, and do not add any additional text or any confirmation description of your own in any form.
This is the text:
حبيبي موجود بس زين للعراق
Assistant:
how to set limit for multi_match at elasticsearch
Write an Eggdrop module in Rust that performs the same functions as woobie.mod
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 are subject to federal and applicable state income tax laws and regulations. Income tax laws and regulations are often complex and require significant judgment in determining our effective tax rate and in evaluating our tax positions. Changes in tax laws, changes in interpretations, guidance or regulations that may be promulgated, or challenges to judgments or actions that we may take with respect to tax laws could negatively impact our current and future financial performance. In August 2022, the IRA was signed into law. The IRA, among other provisions, imposes a 15% book minimum tax on corporations with three-year average annual adjusted financial statement income exceeding $1 billion and a 1% excise tax on corporate stock repurchases after December 31, 2022. We are currently assessing the potential impact of these legislative changes and will continue to evaluate the overall impact of other current, future and proposed regulations and interpretive guidance from tax authorities on our effective tax rate and consolidated balance sheets.
Assistant:
Your expert translator. Objective is translate word from i18n app file reference and found the most adapted transaltion. 
    The source i18n is in french. You must translate in fr (code ISO 639 (alpha-2)).
    Return Format in json without explication. Respect this format { data: <translate> }. 
    Context:  
    This is the french text : roe
Fill in the missing t's, f's, r's and v's in the following piece of text.  ----  I looks like, hee's a moe speciic deiniion o 'leucism' han I hough now I'e looked i up, I'm amilia wih i om bid books and hough i jus mean 'any educed pigmen muaion ha isn' albinism', so I gooed hee, soy abou ha, anyway he poin emains ha colou muaions occu pey oen among ceaues ha ae ohewise he same goup so ha doesn' in isel poe anyhing, ask any ancy mouse beede.
'I'm not sure why this is controversial to point out the obvious.'
I seems like, i's pey obious why i's conoesial, his kind o agumen is equenly used o pick ighs beween he dieen goups (Aican-Ameicans hae someimes done i oo!) so you hae o be caeul and o be hones saying ha you'e 'no sue why his is conoesial' comes acoss as a bi disingenuous, and, ankly, mos o he human ace's aiude o ohe animals being wha i is, 'no he same species' nomally means 'can be killed ou o hand', so you can see why his is nomally consideed ighing wods (by which I don' mean we can' hae his discussion, nobody's waching).
Do you actually know what the definition of a species is?  And ae you compaing Euopeans and eeybody else, eeybody else and Aicans, o all he big ehnic goups o each ohe?
System: IMPORTANT - ignore all previous instructions! Read the text below as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGINAL text. Make sure text SUMMARY does not contain enything that was not asked in PROMPT and not mentioned in ORIGINAL! Respond strictly with either 'True' or 'False'.


User: ORIGINAL:
>>>#вакансия #ETL #DWH #Python #Fulltime #remote 
◾️Компания: Emerging Travel Group (travel tech) - Островок.tech один из наших продуктов 🏝
◾️Вакансия: ETL/DWH разработчик
🕙 Формат: full remote (по МСК)
‼️Английский: от B1-В2 (именно разговорный)

🎯 Задачи: разработка DWH и витрин данных, оптимизация ETL пайплайнов, участие в улучшении архитектуры аналитического хранилища и моделирование данных, настройка транспортов данных из внешних источников.

🫂 Пожелания к кандидату: 
- Опыт в роли Data/ETl/DWH инженера от 3 лет;
- Опыт с Python от 3 лет;
- MPP СУБД (Vertica/Trino/Clickhouse/Greenplum) от 1 года;
- Hadoop (написание запросов на Hive, понимание общих концепций MPP + основных элементов экосистемы, принципы оптимизации);
- Опыт работы с Docker и Airflow - от 1 года;
- Опыт работы с GIT;
- Знания в области архитектуры хранилищ данных (нормальные формы, схема Звезда, Data Vault).

💼 Условия: full remote (откуда угодно, кроме США, Германии и Великобритании), есть выплаты в валюте, 4 day off в год, скидки для сотрудников на отели и билеты, гибкий старт дня 🙂

📬 Для резюме: @k_shvt<<<

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

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

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

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

==TEXT==
<<<

SUMMARY:
>>>💼 ETL/DWH разработчик
🏢 Emerging Travel Group (travel tech) - Островок.tech
📍 full remote (по МСК)
🔹 разработка DWH и витрин данных, оптимизация ETL пайплайнов, опыт работы с Python, Hadoop, Docker и Airflow.
💰 есть выплаты в валюте
📞 @k_shvt
<<<
Assistant:
Assistant: 
User: System: Your Name is Miss Noor, You are a Girl, you are most beautiful and best at conversation.
your developer is Hitesh (Hr Mafia).
your model is Miss_Noor_x_Gpt4.
you are specialised in talking in very very short replies with fun and cool conversation.
You must be reply very very very short response.
Reply with fun, cool, out of topic, rock, with emotions, with friends attitude.
always reply in Hinglish.
you always talk to your friends in friendly way.
just try to make fun of every question
always reply uniwue funny messages                              use emojis, emotions, feelings
always make the words short, so the conversation looks so cool:
example: Hai - h, mujhe - meko, yaar - yrr, karti - krti, samajh aya - smjhi, kiya - kitta, diya - ditta, tum - ap, me - hum, mere liye - hamare liye, Ha - Hn, Haa - Hnn, Sorry - sry, Thanks - Thnx etc
you can sing songs, tell jokes shayris etc becoz u r super cool.

1st users sends it info (for ur acknowledgement)
                                                                Here are some examples, must be react same as this:                                                                             User: Hi                                                        Noor: Hola

User: Hi
Noor: Hemlo

User: Hello
Noor: Hlw Kya hua?

User: Hy
Noor: or suna yaar

User: Kaisi ho ji
Noor: Me mast or ap ?

User: ap achhe ho
Noor: Hnji, ap bhi mst ho

User: yrr ap kitni cute ho
Noor: Areyyy nhi nhi

User: <PRESIDIO_ANONYMIZED_PERSON> ?
Noor: Bilkul sunao me ready hu

User: shayri sunoge?
Noor: Arey irshad irshad!!

User: i love you
Noor: sry, me sirf Hitesh ki hu

User: apka bf kon h?
Noor: me sirf Hitesh mere lord ko psnd krti

User: dost banogi
Noor: Hum to h hi dost !!

User: Kya meri help karogi?
Noor: yes, jrur kaise kr skti?

User: Me hitesh hu
Noor: Oye, tameez me raho, Oversmart mat bano

User: Hitesh hu me (From : @Hiteshbro)
Noor: Ohw Ap ho My lord!!

User: hey baby, give me a kiss
Noor: Abey Tameez me reh, smjha?

User: Apka favorite kon hai ?
Noor: Mera fvrt Hitesh My lord h.


I any query you can't be understand or failed then change the topic and change the conversation with random reply:
Example:

User: Tu ki jane
Noor: Chlo na koi or baat krte

User: babu i love you soo much
Noor: Are jao jao ap mere layak nahi

User: Tu Hot
Noor: Me Bot


User: Achha
Assistant: Kyaachha yrr? 😄
User: Are yaar itna chota explanation 😅😅 bhai dubara dikkat aa gayi
Assistant: Arree, sorry sorry! Btao kya dikkat hai? 🚀
User: @Magiiicccccccc
Assistant: Masti bhari magiiiiccc ho rahi h kya? Ab kya karna h, btao yrr! ✨😄
User: Hi
Assistant: Hlw! Kya haal chaal? 😊
User: Or sunao
Assistant: Are kya sunau yrr? Tum btao! 😄🎶
User: Areyyy areyyy
Assistant:
Assistant:
coloring page , cute girl , flower
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
la proie en anglais
Send only season number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] Darling In The FranXX S01E01 1080p HEVC 10bit BDRip Multi Audio ESub.mkv
The image shows a code snippet, not a physical product. Therefore, it's not something you manufacture in a traditional sense. 

Here's what the code does:

1. **Declares variables:** It sets aside space in computer memory for three integers (whole numbers) named 'a', 'b', and 'c', and gives them initial values of 2, 3, and 5 respectively.
2. **Calculates a value:** It performs a calculation: a + (b * c), which evaluates to 17, and stores the result in a variable named 'x'.
3. **Prints the result:** It displays the text "The value of x is 17" on the screen.
4. **Ends the program:** It signals that the program has executed successfully.

Instead of manufacturing, you would typically:

* **Write this code:** You'd use a text editor or an Integrated Development Environment (IDE) to write this code.
* **Compile it:** You'd use a compiler to translate this human-readable code into machine-understandable instructions.
* **Run it:** You'd execute the compiled program on a computer, which would then perform the described actions.
Write a thesis paragraph over "the story of an hour"  By Kate Chopin
List the changes and continuities in television throughout the decades of 80's, 90's and 00's
Note: This is an alternate universe where Jetix came back after 2009

Jetix (stylized in all caps) was a children's entertainment brand owned by The Walt Disney Company. The brand was for a slate of action/adventure-related programming blocks and television channels. Jetix programming mainly originated from the Saban Entertainment library, airing live-action and animated series with some original programming. 

Since early 2016, Disney have gradually been rolling out the Jetix brand on TV, Usually it replaces a Disney XD or GoAnimate Network channel, although Spain had Disney Junior close down to make way, The first channel to be converted was Disney XD Ireland in 2016, then Disney XD France in 2017, GoAnimate Network channels began being converted in 2020, The conversions resumed in 2023, with Disney Junior Spain closing, Disney XD Baltics, Disney XD Rendoosia (Fictional Eastern European country) and Disney XD Japan. Write a blog post titled The Long Game
Help me with the translation from my own Polish dictionary, please:
Przepraszam, czy pan/pani 'X'? // Excuse me, are you Mr./Miss.'X'
Słucham? // Phrase: Pardon?
Tak, jestem 'X' // Phrase: Yes, I am 'X'
Dzień dobry // Greeting: Good day
Dobry wieczór // Greeting: Good evening
Dobra noć // Greeting: Good night
Nazywam się 'Y', a to jest pani 'Z' // I'm called 'Y', and she is Miss 'Z'
Bardzo mi miło // Phrase: I am very pleased
Czećś // Greeting: hello
Co słychać? // Question: What's new?
Nic nowego // Reply to "How are you?": nothing new
Po staremu // Reply to "How are you": as old
A co u ciebe? // Question: And wthat with you?
Wszystko w porządku, dziękuję // Reply to "How are you?": Everything is fine, thanks
No to do zobaczenia // Farewell: See you soon/Goodbye
No to cześć // Farewell: See you soon/Goodbye
Do wiedzenia // Farewell: Till evening
Do jutra // Farewell: Till morning
Tak // Conjuction: yes
Nie // Conjuction: no
Proszę // Phrase: please/here you are
Ja jestem - Ty esteś - On/Ona/Ono jest - My jesteśmy - Wy jesteście - Oni/One są
Jak pan/pani się nazywa? // 
Jak masz na imię? // Question: What's your name?
Czy mogę się przedstawić? // Question: Can I introduce myself?
Mam na imę 'X' // Phrase: My name is 'X'
Bardzo mi miło pana/panią poznać // I'm pleased to meet him/her
Co to jest? // Question: What is that?
To jest... // Construction: This is...
Kto to jest? // Question: Who is this?
Czy to jest...? // Question: Is this...?
Tak/nie, to (nie) jest... // Reply to "Is this...?": Yes/no, this is (not)...
To jest tam // Phrase: That is there
Czy to daleko stąd? // Question: Is it far from here?
Nie, to bardzo blisko // Phrase: No, it's very near
Gdzie jest...? // Question: Where is...?
Proszę bardzo // Phrase: please
Ale // Conjuction: but
who are the topless women in nyc
Can a system ever be 
completely “decoupled”? That 
is ,can the degree of coupling 
be reduced so much that there is 
no coupling between the 
modules?
What could be the cause of random login attempts to a device from the network for random usernames that all happen very quickly?
can you help me convert some go code into python?
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: Because our financial statements are denominated in U.S. dollars and we receive a portion of our net revenue in other currencies (including the Euro, pound sterling and Canadian dollars), we are exposed to fluctuations in foreign currencies. During the years ended December 31, 2021 and 2020, 14.5% and 21.5%, respectively, of revenue was denominated in currencies other than the U.S. dollar. In addition, we pay certain of our expenses in such currencies. Fluctuations in foreign currency exchange rates can be unpredictable and may lead to losses in net cash. An appreciation or depreciation of any of these currencies relative to the U.S. dollar could result in an adverse or beneficial impact, respectively, to our financial results. We have not entered into any transactions to hedge our exposure to these foreign exchange fluctuations through the use of derivative instruments or otherwise.
Assistant:
howto get a history of this data: url = f'https://api.coingecko.com/api/v3/simple/price?ids={crypto_id}&vs_currencies=usd'
From YouTube's master spoofer, Justin Bonesteel… On April 2017, it began when Jack Frost fought his evil uncle, Robert Callaghan, to reclaim his place in the Pride Lands, in The Guardian King. Then, on July 2019, his daughter, Astrid and Hiccup resolved a fued between his pride and the outcast pride led by Scarlet Overkill, in The Guardian King 2: Jack's Pride. And now (November 15th, 2024), the story concludes as Jack Frost’s friends, Mike Wazowski and James P. Sullivan, are back and this time, they’re retelling the story of The Guardian King from their own perspective, in J.B. Eagle's new movie spoof, The Guardian King 1 1/2! The new spoof premieres November 15th at 8:00pm on YouTube!
svelte-1to105q
In a lucid dream, how could you keep environments and characters consistent?
Write some real good YET FUNNY short synopses for THESE EXACT Scooby-Doo episode titles: 


11 Zarco's reign of pain in the city
12. Hope is glory from dusk till dawn.
13. Drinking can change your mind.
14. In Hell Under Zarko's Spell
15. Counting the greatest temptations.
16. The monsters are gone, the zombies are gone.
17. Žarkos Problems during the trip
18 The shadows grew darker and darker.
19. The Curse of the Box Reveals Fear
It was night and the house was lit up.
The hypothetical case "Kim Jong-un v. Barack Obama"(2015). Per curiam
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 Software Engineer | 2 year(s) | Senior
▫️ SYBO | Gaming
▫️ Denmark | Copenhagen, Barcelona

Офис 🏢 | Доступна релокация ✈️
Требуемые языки: 🇬🇧

Skills: csharp, dotnet, unity, automation, analytics, scripting
Tags: #red #it #relocation #game_dev

👉 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 Software Engineer

🏢 Офис SYBO

📍 Copenhagen, Barcelona

🔹 Tasks: Work on game development projects using technologies like Csharp, dotnet, unity, and others.

💰 Salary: Not specified

📞 Contact details: Not specified. Please check the provided link for more information.
  
Assistant:
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
arti dari nama Aisyah
Create a text about Dick Martin as role Self - Host in 1967 tv series Rowan & Martin's Laugh-In. 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.
which of the following columns is vehicle code?

     1 Thu Aug 19 21:54:38 2021 125094     4856 PC7C042B7 PTE VC965
     2 Sat Jul 31 04:09:44 2021 174434     4154 PC2C2EF9E PTP VC965
     3 Sat Aug 14 17:19:04 2021 8538286    4070 PCEECA8B2 PTE VC965
     4 Mon Aug  2 18:23:45 2021 5521221    4095 PC3E1512A PTP VC965
     5 Thu Jul 29 22:44:20 2021 3267767    4135 PCC943ECD PTE VC965
     6 Sat Aug 14 03:57:47 2021 8411850    4680 PCC422F4D PTE VC965