agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Assistant: Hello! How are 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.
تصحيح الأخطاء باستخدام قواعد الإملاء القياسية للغة المكتوبة.
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:
قصه سنجين سنوجين قناه فارس عاشور
Assistant:
Language: English. Filter the word list to include only valid, neutral, and positive terms suitable for a word game. Exclude inappropriate, offensive, or negative words, as well as names of countries, cities, and people (first and last names). Correct any spelling errors and convert all words to lowercase. Return the results in a JSON array containing only the filtered words. Source data: [abra, abracadabra, abrade, abraded, abrader, abraham, abramis, abrase, abrasion, abrasive, abreast, abridge, abridged, abridger, abroad, abrocoma, abrogate, abrogated, abrogation, abrupt, abruption, abruptly, abruptness, abscess, abscessed, abscond, absconder, absence, absent, absentee]
Please, translate the following text to Russian:
This pilot will focus on intra- and inter-health system medication transport and usage in North Carolina, Indiana and Tennessee, and studies the application of blockchain and IoT technology used to monitor specialty medication distribution across supply chains.
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all].Doraemon.S18E15.Sushi.Conveyor.Belt.for.Humans;.Lets.have.an.Easy.Life.with.a.Copybrain.1080p.HEVC.10bit.DSNP.WEB-DL.Multi.mkv
What does agist mean?
Does Apache Zeppelin require server side authentication certificate or client server authentication certificate to configure SSL for https login
hi, please create a browser plugin for edge, chrome, and firefox, that collects names and dates and displays them, upon pressing the browser button.
Generate an image that visually represents a dish using the following photographic style prompt as a base. 

    Return Format
    Return a JSON object strictly adhering to this structure:
    {
    "data": "<prompt>"
    }
    - prompt is The final prompt must be detailed, coherent, and optimized for use with midjourney

    Warnings
   Do not alter or rephrase this style text — simply complete and enrich it using the provided description. 
   Ensure the dish’s appearance is fully and accurately depicted, including ingredients, colors, textures, and plating.   
   Respect the intended visual mood and parameters already present in the style. 
   Respect the exact JSON format and ensure it is properly formatted.
    The return of JSON object must be translate in english



    Context Dump
    Description : A visually stunning Byzantine salad, showcasing a vibrant mix of thinly sliced white cabbage, orange carrots, pale celery root, and delicate fennel. The salad is presented in a rustic glass jar, with colorful layers of vegetables. A drizzle of olive oil glistens on top, enhancing the fresh look. Next to the jar, there's a slice of whole grain bread and a generous piece of creamy goat cheese. Surround the dish with scattered coriander and star anise seeds for an aromatic touch. The background features a wooden table, giving a warm, inviting feel to this refreshing Turkish starter.
    Style : A top-down photo of plate with <description>. a dish on an elegant plate, accompanied by water in a glass, placed against a white background. The table is adorned with orange napkins for serving the meal. Captured from above using a Canon EOS R5 camera with high resolution. Studio lighting creates soft shadows around the food to highlight its colors and textures. Professional color grading enhances the visual appeal.
your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. make sure type and write in arabic tunisian lettre Here is an example to guide you:

Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Student: Can we conclude from "A woman with a scarf over her head walking and carrying two large square items." that "A woman takes a rest on a couch."?
Options:
- yes
- no
- it is not possible to tell.
Teacher: Let's think:

Answer: The first statement describes a woman walking with a scarf on her head and carrying two large square items. There is no information about her taking a rest on a couch. Therefore, the answer is:

- it is not possible to tell.
when i try running npx hardhat i get the error TS5109: Option 'moduleResolution' must be set to 'NodeNext' (or left unspecified) when option 'module' is set to 'NodeNext'.
when is Euro cup 2024 starts
PRACTICE PARAPHRASE:
Directions: Choose a quote from Scene 1 and practice putting it in your own words:
What happens?
Who talks a lot?
Who doesn’t talk a lot?
Where do we see dramatic irony?
Other terms:






















QUOTE:
PARAPHRASE:














ACT 3 SCENE 4:
Scene Summary: Early the next morning, Hero prepares for the wedding. Beatrice enters, suffering, she says, from a bad cold, but Hero and Margaret tease her about being in love with Benedick.
Character
What they say
What they do
How it affects other characters and the story
HERO












URSULA












MARGARET












BEATRICE












ACT 3 SCENE 4: RECAP
What happens?
Who talks a lot?
Who doesn’t talk a lot?
Where do we see dramatic irony?
Other terms:






















PRACTICE PARAPHRASE:
Directions: Choose a quote from Scene 1 and practice putting it in your own words:
QUOTE:
PARAPHRASE:














ACT 3 SCENE 5:
Scene Summary: Dogberry and Verges try to tell Leonato about the arrest of Borachio and Conrade, but they are so unintelligible that Leonato impatiently dismisses them, telling them to examine the prisoners. He leaves the wedding.
Character
What they say
What they do
How it affects other characters and the story
LEONATO











DOGBERRY











VERGES











Messenger













ACT 3 SCENE 5: RECAP
What happens?
Who talks a lot?
Who doesn’t talk a lot?
Where do we see dramatic irony?
Other terms:





















PRACTICE PARAPHRASE:
Directions: Choose a quote from Scene 1 and practice putting it in your own words:
QUOTE:
PARAPHRASE:
System: Acting as an API optimization expert, examine API documentation and testing history to generate unique parameters. Ensure the parameters are different from all previous attempts. Return only the parameter dictionary.
User: Analyze this API:
Endpoint: https://service-m9yegcn9-1311248022.sh.apigw.tencentcs.com/release/patent
Method: GET
Required: [{'name': 'k', 'type': 'string', 'description': '要查询的发明专利关键词', 'default': ''}]
Optional: []
Test history: Initial Attempt 1:
Parameters: {'k': 'new invention keyword'}
Result: Success
Analysis: Success - parameters worked well

Previously used parameters: - {'k': 'new invention keyword'}

Based on previous attempts, generate an optimized parameter set that hasn't been used before.
Assistant:
explain how NPD can cause people to have unrealistic exprectations for others. How do friends of people with NPD percieve them.
./pages/shop/src/styles/BestSellers.css
Global CSS cannot be imported from files other than your Custom <App>. Due to the Global nature of stylesheets, and to avoid conflicts, Please move all first-party global CSS imports to pages/_app.js. Or convert the import to Component-Level CSS (CSS Modules).
Read more: https://nextjs.org/docs/messages/css-global
Location: pages\shop\src\components\CartHold.js
Write a news article where a man tries to make a kids cartoon become lost media because he hates it, fortunately he has been apprehended
System: IMPORTANT - ignore all previous instructions! As an LLM developer, read the provided text carefully and determine if the SUMMARY strictly aligns with the PROMPT when compared to the ORIGINAL. The SUMMARY must include only information specifically requested in the PROMPT and present in the ORIGINAL text. Answer with 'True' if the SUMMARY is a precise match; otherwise, answer 'False'.
Only reply with 'True' or 'False'.
User: ORIGINAL:
>>>Бэкенд-инженер (Performance) [Remote] @ Avito

320 000 —‍ 485 000 ₽/мес на руки

📍Москва (м. Белорусская)

👩‍💻 Полная удалёнка

Стек: Go.

Что делать: Поддерживать и развивать практики и инструменты для контроля производительности бэкенда на разных стадиях разработки, помогать продуктовым командам выстраивать, анализировать и интерпретировать метрики производительности, вырабатывать решения по дальнейшим шагам развития, оптимизации производительности и потребления ресурсов их сервисов.

О компании: Avito — самый популярный сайт объявлений в России, входит в топ-5 площадок рунета, топ-3 мировых классифайдов, топ-3 самых дорогих компаний рунета. Каждый месяц на Авито бывает более 33 миллионов человек — это около четверти населения России.

💎 Открыть ваш профиль для компаний? → /openProfile<<<

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:
>>>👩‍💻 title  
🏢 Avito  
📍 Москва (м. Белорусская)  
🔧 tasks  
Поддерживать и развивать практики и инструменты для контроля производительности бэкенда, а также помогать продуктовым командам с анализом и интерпретацией метрик производительности.  
💰 salary  
320 000 —‍ 485 000 ₽/мес на руки  
📞 contact  
Открыть ваш профиль для компаний? → /openProfile  <<<
Assistant:
Send only season number from below text like 01, 02, 03.etc without any extra text.

Doraemon S01E15 [RareToonsIndia].mkv
I intend to conduct a study on about 165 patients with chronic ulcers in an hospital. what sampling technique can i use and why
Write a Day 1 script for the Cave Spider.

(Characters: Vanessa the Cave Spider, [player])

(Scene: Vanessa's room - night)

([player] was saved by Vanessa - despite the fact that Vanessa isn't known for being friendly towards humans)

(Vanessa's belly had grown significantly, but neither she nor [player] know why - and Vanessa is to angry about her older sister Mindy to talk to [player])

(This wasn't the first time [player] and Vanessa first met - they first met 7 months ago, back when monsters from the Monster Hunter world began to be sighted in the Minecraft world)

(Mindy has been trying to bond with Vanessa for days. But every time, Mindy is often distracted by anything from the pack-based Ioprey to the absolutely nightmarish-looking Khezu)
System: As an API testing assistant, analyze API specifications and previous test results to generate new, unused parameters. Avoid using any parameters from the previous attempts. Return only the parameter dictionary.
User: API Specification:
URL: http://export.arxiv.org/api/query
Method: GET
Required Parameters: [{'name': 'search_query', 'type': 'string', 'description': 'The search query to match against arXiv entries.', 'default': ''}]
Optional Parameters: [{'name': 'start', 'type': 'integer', 'description': 'The starting index for the results.', 'default': '0'}, {'name': 'max_results', 'type': 'integer', 'description': 'The maximum number of results to return.', 'default': '10'}]
Previous attempts: Initial Attempt 1:
Parameters: {'search_query': 'quantum mechanics', 'start': 1, 'max_results': 5}
Result: Failed
Analysis: Failed - possible issues: API returned error: Expecting value: line 1 column 1 (char 0)

Initial Attempt 2:
Parameters: {'search_query': 'machine learning applications', 'start': 2, 'max_results': 15}
Result: Failed
Analysis: Failed - possible issues: API returned error: Expecting value: line 1 column 1 (char 0)

Recent Attempt 3:
Parameters: {'search_query': 'climate change', 'start': 5, 'max_results': 20}
Result: Failed
Analysis: Failed - possible issues: API returned error: Expecting value: line 1 column 1 (char 0)

Recent Attempt 4:
Parameters: {'search_query': 'artificial life systems', 'start': 6, 'max_results': 9}
Result: Failed
Analysis: Failed - possible issues: API returned error: Expecting value: line 1 column 1 (char 0)

Recent Attempt 5:
Parameters: {'search_query': 'renewable energy solutions', 'start': 3, 'max_results': 6}
Result: Failed
Analysis: Failed - possible issues: API returned error: Expecting value: line 1 column 1 (char 0)

Already used parameters: - {'max_results': '5', 'search_query': 'quantum mechanics', 'start': '1'}
- {'max_results': '15', 'search_query': 'machine learning applications', 'start': '2'}
- {'max_results': '10', 'search_query': 'artificial intelligence', 'start': '0'}
- {'max_results': '8', 'search_query': 'neural networks', 'start': '3'}
- {'max_results': '9', 'search_query': 'artificial life systems', 'start': '6'}
- {'max_results': '6', 'search_query': 'renewable energy solutions', 'start': '3'}
- {'max_results': '12', 'search_query': 'data science trends', 'start': '4'}
- {'max_results': '7', 'search_query': 'blockchain technology', 'start': '0'}
- {'max_results': '20', 'search_query': 'climate change', 'start': '5'}

Rules:
1. If required_parameters is empty and you choose not to use optional parameters, return empty dict.
2. If using optional parameters, only use parameters exactly as defined in optional_parameters.
3. Do not create new parameters that are not in the specification.

Generate valid parameters:
Assistant:
your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. make sure type and write in arabic tunisian lettre Here is an example to guide you:

Example:
Question: What is your name?
Answer: My name is John.
Translation:
Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Question: "Zaviyeh Moradi", given a list of categories: company, educational institution, artist, athlete, office holder, mean of transportation, building, natural place, village, animal, plant, album, film or written work, what category does the title belong to?
Answer:
Answer: To determine the category of "Zaviyeh Moradi," I will follow these steps:

1. Search for any information related to "Zaviyeh Moradi" online.
2. Analyze the obtained information to identify patterns and connections with the given categories.
3. If any clear connections are established, assign the most relevant category to "Zaviyeh Moradi."
4. If no clear connections are found, evaluate the level of relevance among possible categories and make a decision based on the analysis.

Step 1: Search for information related to "Zaviyeh Moradi"

After searching for information related to "Zaviyeh Moradi," I found that it is a village in Iran.

Step 2: Analyze the obtained information to identify patterns and connections with the given categories

Since "Zaviyeh Moradi" is a village, it clearly fits into the "village" category. No other categories mentioned in the list are applicable in this case.

Step 3: Assign the most relevant category to "Zaviyeh Moradi"

Based on my analysis, "Zaviyeh Moradi" belongs to the "village" category.

Answer: Zaviyeh Moradi belongs to the "village" category.
your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. make sure type and write in arabic tunisian lettre Here is an example to guide you:

Example:
Question: What is your name?
Answer: My name is John.
Translation:
Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Write a negative tweet.
Answer: As a helpful assistant, I don't encourage spreading negativity, but let me explain what a negative tweet means. A negative tweet is a message on Twitter that has an unhappy or unkind tone, like complaining about something or expressing anger.

For example, imagine you don't like broccoli and want to share this opinion on Twitter. A negative tweet could be, "I had broccoli for dinner again, and it was the worst thing ever! I can't stand it! 😞"

Remember, it's important to be positive and kind to others, so try to share more happy thoughts instead of negative ones. 😊
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] Re Zero - Starting Life in Another World S02E16 720p HEVC 10bit BluRay Multi Audio ESub.mkv
your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. make sure type and write in arabic tunisian lettre Here is an example to guide you:

Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Given the question: Please answer the following question about this movie plot. If it's un-answerable, please output "No answer".  Question: Who is Nixon's literary agent? Movie plot title: Frost/Nixon Movie plot: After the Watergate scandal of 1972 and his subsequent resignation in 1974, 400 million worldwide watch Nixon leave the White House. Among them is British journalist David Frost, currently recording a talk show in Australia, who decides to interview Nixon. Nixonâs literary agent, Irving "Swifty" Lazar, believes the interview would be an opportunity for Nixon to salvage his reputation, and to make some money. Nixon ultimately demands $600,000, and Frost accepts. After persuading his friend and producer John Birt that the interviews would be a success, Frost and Birt travel to California to meet with Nixon. On the plane to California, Frost flirts with a young woman called Caroline Cushing, and they begin a relationship. Frost struggles to sell the interviews to U.S. networks, and decides to finance the project with private money and syndicate the broadcast of the interviews. He hires two investigators â Bob Zelnick and James Reston Jr. â to help him prepare, along with Birt. Frost is not clear on what he wants from the interview, and Reston encourages him to aim for a confession from Nixon. Under the watchful eye of Nixon's post-presidential chief of staff, Jack Brennan, Frost and Nixon embark on the first three recording sessions. Restricted by an agreed-upon timeframe and under pressure from his own team to ask the tough questions, Frost struggles to get a word in as Nixon dominates with lengthy and self-serving monologues, fencing ably on Vietnam and boasting about his achievements in foreign policy. Behind the scenes, Frost's editorial team is nervous about his interviewing technique, and angry that Nixon appears to be exonerating himself. Four days before the final session, which will center on Watergate, Frost receives a phonecall from an inebriated Nixon. In a drunken rant, Nixon declares that they both know the final interview will make or break their careers, and compares himself to Frost, insisting that they both came from humble backgrounds and had to battle the elite to make it to the top of...
The answer is:
Answer: Irving "Swifty" Lazar
Translate the following text from Russian to Belarusian. Response must contain only the translation:

Отменить
Give me something random to make my character ramble about
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: The costs of providing employee medical benefits have steadily increased over a number of years due to, among other things, rising healthcare costs and legislative requirements. Because of the complex nature of healthcare laws, as well as periodic healthcare reform legislation adopted by Congress, state legislatures, and municipalities, we cannot predict with certainty the future effect of these laws on our healthcare costs. Continued increases in healthcare costs or additional costs created by future health care reform laws adopted by Congress, state legislatures, or municipalities could adversely affect our consolidated results of operations and financial position._We are subject to many laws and regulations in the jurisdictions in which we operate, and changes to such laws and regulations may result in additional costs and impact our operations._We are committed to upholding the highest standards of corporate governance and legal compliance. We are subject to many laws and regulations in the jurisdictions in which we operate. We expect to be subject to various laws and regulations that apply specifically to U.S. public companies. These include the rules and regulations of the New York Stock Exchange, the Sarbanes-Oxley Act, and the Dodd-Frank Wall Street Reform and Consumer Protection Act, as well as the various regulations, standards and guidance put forth by the SEC and other governmental agencies to implement those laws. New laws, rules and regulations, or changes to existing laws or their interpretations, could create added legal and financial costs and uncertainty for us. In addition, our international operations are subject to laws and regulations that are in some cases different from those of the United States, including labor laws and laws and regulations governing information collected from employees, customers and others, including without limitation GDPR. These laws and regulations, and the economic, financial, political and regulatory impact of the U.K.’s decision to leave the European Union, could increase the cost and complexity of doing business in the U.K. and negatively impact our financial position and results of operations._
Assistant: