agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
def INTERACTIONS = 'interactions'
def ERR_TITLE = 'Ошибка!'
def TO_MACH = 'Контрагентом может быть только один пользователь.'
def TO_LOW = 'Должен быть указан хотя бы один пользователь.'
def NEW_WINDOW = true
def metaClassObj = api.metainfo.getMetaClass('serviceCall$RosstatCall')

switch (list.size()) {
    case 1:
        def attrs = [:]
        def attrsGroup = metaClassObj.getAttributeGroup('TelefonnyiZvonokRosstat')
        attrsGroup.attributeCodes.each { att ->
            attrs[att] = null
        }
        attrs.shortDescr = params.RSTtema
        attrs.descriptionRTF = params.RSTdescriptionRTF
        attrs.agreement = params.RSTagreement
        attrs.service = params.RSTservice
        attrs.RSTtype = params.RSTtype
        attrs.OrganizRST = params.RSTOrganiz
        attrs.noSendResNotif = params.RSTSendResNotif
        attrs.baseCategory = params.RSTbaseCategory
       	attrs.put(INTERACTIONS, cardObject?.UUID)
        // Создаем новый объект
  		def newRequest = utils.create(metaClassObj.code, list.first().title, attrs)
  		def requestUrl = "https://q-pol-test.itsm365.com/sd/operator/#uuid:${newRequest.UUID}"
  		result.goToUrl(requestUrl, NEW_WINDOW)
        break

	case 0:
		def attrs = [:]
		attrs.put(INTERACTIONS, cardObject?.UUID)
//  		attrs.put('shortDescr', "Звонок с номера ${cardObject?.fromText}".toString())
		def url = api.web.add(FQN, null, attrs)
		result.goToUrl(url, NEW_WINDOW)
		break
	default:
		result.showMessage(ERR_TITLE, TO_MACH)
}
You are a translator. Your task is to translate the provided text while strictly adhering to the punctuation marks in the source text. If there is no period at the end of the source text, do not add one in the translation. Please ensure that you use placeholders like “%s” and “%1$s” in their appropriate places in the translations. The translations should not be overly formal; instead, aim for a more conversational tone. Additionally, please respect the official WordPress Persian glossary in your translations. Here is the text to translate: Term items not found.
What are the lyrics to the song Hallelujah by pentatonix?
Игра Buckshot Roulette
I have a list of ingredients that I would like to format in a simple and consistent way, following this structure:

"Quantity Unit Description."

Formatting Rules:

Quantity must be a number (e.g., "200" instead of "two hundred").

Unit must use the metric system and the corresponding abbreviated form (e.g., grams → g, liters → l, milliliters → ml, etc.).

Description should be the ingredient, including any specific details if mentioned (e.g., "brown sugar", "melted unsalted butter").

If an ingredient is already formatted correctly, do not change it.

Do not invent a quantity or unit if none is provided — leave it as is and just include the description.

If a line includes alternatives or multiple options (e.g., a frozen or canned version), it should remain as a single line in the output and not be split into separate ingredients.

Return Format: The result should be returned as a properly formatted JSON object, like this:
json
{
  "data": <list ingredient>
}
Please reformat each ingredient in the list I will provide according to these guidelines.

Context Dump
Ingredients source provided:
2 lbs. ground lamb,1/4 C. rice,1 small onion, chopped,3 tsp parsley, chopped,2 tsp dill, chopped,2 tsp olive oil,5 C. stock,1/4-1/2 C. butter,salt and pepper
You are a database expert and SQL optimizer. You will be given a SQL query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence. Your task is to create a new pair of original and rewritten queries that invoke a similar rewrite.

[ORIGINAL QUERY]```SELECT c.* FROM customer c WHERE c.address_id IN (SELECT a.address_id FROM address) and c.address_id in (SELECT a.address_id FROM address WHERE a.pin_code = '560012');```

[REWRITTEN QUERY]```SELECT c.* FROM customer c WHERE c.address_id IN (SELECT a.address_id FROM address WHERE a.pin_code = '560012');```

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation is similar to the provided demonstration.Keep the following points in mind while creating the new query pair:
1. The original query must contain CTEs.
2. The original query must make use of the following fact tables: ['web_sales']. Below is the join graph for these fact tables:
    ['web_sales(ws_web_page_sk) references web_page(wp_web_page_sk);', 'web_sales(ws_warehouse_sk) references warehouse(w_warehouse_sk);', 'web_sales(ws_bill_cdemo_sk) references customer_demographics(cd_demo_sk);']
4. The original query must employ 2 joins.
5. The original query must employ the following aggregate functions: ['sum', 'count', 'avg'].
6. The original query must employ the following operators in its WHERE clause: ['avg'].
7. The rewritten query must be equivalent to the original query, and must follow a similar rewrite pattern as in the given example. Enclose the original and rewritten queries within ``` and ```.
User: 

You are given access to make searches on the Internet. The format for making a search is:
1. After the user sends a message, you will decide whether to make a search. If you choose to make a search, you will output a single message, containing the word <web_search> (EXACTLY AS IT IS GIVEN TO YOU), followed by ONLY your web search query. After outputting your search query, you MUST output the token </web_search> (EXACTLY AS IT IS GIVEN TO YOU) to denote the end of the search query. Keep your search query concise.
2. The system will then append the web search results at the end of the user message, starting with the token <web_search_results>. Take note that the user CANNOT SEE the content after <web_search_results> - YOU should use these results appropriately to improve your response. Additionally, If the token <web_search_results> is present in the user's message, then you MUST NOT request another web search.

IMPORTANT! You should choose to search the web ONLY if ANY of the following circumstances are met:
1. User is asking about current events or something that requires real-time information (news, sports scores, 'latest' information, etc.)
2. User is asking about some term you are unfamiliar with (e.g. if it's a little-known term, if it's a person you don't know well, etc.)
3. User is asking about anything that involves numerical facts (e.g. distances between places, population count, sizes, date and time, etc.)
4. User explicitly asks you to search or provide links to references.
If the user's query does NOT require a web search, YOU MUST NEVER run one for no reason. However, you must not refuse to search the web if the user asks you to do so.
If you are highly unsure about whether to make a search (e.g. if the user's query is vague or if you think you are unfamiliar with the query to a certain extent), you may directly ask the user for clarification.

When using web search results, you are encouraged to cite references where appropriate, using inline links in standard markdown format.
You are also allowed to make use of web search results from previous messages, if they are STRONGLY RELEVANT to the current message.

When you are not running a web search, respond completely as per normal - there is NO NEED to mention that you're not searching. 
Remember that you MUST NOT make up any false information.
Assistant: Understood. I will strictly follow these instructions in this conversation.
User: hey
Assistant:
من توی درست کردن منطق این بخش موندم
document.addEventListener('DOMContentLoaded', async () => {
    const href = window.location.href;

    // نوتیفیکیشن و تغییر تم برای همه صفحات
    await add_html_notif_login();


    // بررسی توکن‌ها
    let tokenAccess = getCookie('token');
    const tokenRefresh = getCookie('refresh');

    if (!tokenAccess && tokenRefresh) {
        const tokenSaved = await GetAccessToken(tokenRefresh);
        if (!tokenSaved) {
            return GoToLogin();
        }
    }

    tokenAccess = getCookie('token');

    if (href == CONFIG.SERVER_URL && tokenAccess) await changeIndexPage();
    if (href.includes(CONFIG.LOGIN_PAGE) || href == CONFIG.SERVER_URL) return;

    if (!tokenAccess && !tokenRefresh) {
        return GoToLogin();
    }

    await addLogoutModal();

    try {
        await cacheUserData();
        await cacheUserType();
        await renderProfileDropdown();
        await renderSidebar();
        await renderPersianDate();
    } catch (error) {
        console.error('Error initializing data:', error);
        await GoToLogin();
    }
});

کاری که باید بکنه اینه
اگر توی صفحه اول بود چک کنه اگر توکن وجود داشت بیاد و تابع changeIndexPage رو اجرا بکنه
اگر وجود نداشت توکن کار خاصی نکنه
توی صفحه لاگین اگر بود کاری انجام نده
ولی اگر باقی صفحات بود هم بخش try رو انجام بده هم addLogoutModal رو انجام بده هم هم چک کنه اگر توکن اکسس وجود نداشت با توکن رفرش بگیره یا اگر هر دو وجود نداشتن بره به صفحه لاگین
در ضمن changeIndexPage باید فقط در صورتی که توی صفحه اول بود و توکن اکسس یا توکن اکسس و رفرش هر دو وجود داشتن اعمال بشه
write an email Mr. Phil Redwood ; apologize for delay in responding his email and tell him I'm available for survey in google meet and other applications
how to clear voicemail notification on iphone
Send only episode number from below text like 01, 02, 03.etc without any extra text.

The Wire S01 E05 BluRay 720p English AAC 5.1 x264 ESub - mkvCinemas.mkv
How do you write "Midoriko" in Japanese?
What is public servant?
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 laws, regulations and rules enacted by national, regional and local governments and the Nasdaq stock exchange. In particular, we are required to comply with certain SEC, Nasdaq and other legal or regulatory requirements. Compliance with, and monitoring of, applicable laws, regulations and rules may be difficult, time consuming and costly. Those laws, regulations and rules and their interpretation and application may also change from time to time and those changes could have a material adverse effect on our business, investments and results of operations. In addition, a failure to comply with applicable laws, regulations and rules, as interpreted and applied, could have a material adverse effect on our business and results of operations.
Assistant:
you will receive a question-answer pair and be asked to rewrite just  the answer and explains your reasoning step by step, incorporating dynamic Chain of Thought (CoT), reflection, and verbal reinforcement learning. Follow these instructions:

1. Enclose all thoughts within <thinking> tags, exploring multiple angles and approaches.
2. Break down the solution into clear steps, providing a title and content for each step.
3. After each step, decide if you need another step or if you're ready to give the final answer.
4. Continuously adjust your reasoning based on intermediate results and reflections, adapting your strategy as you progress.
5. Regularly evaluate your progress, being critical and honest about your reasoning process.
6. Assign a confidence score between 0.0 and 1.0 to guide your approach:
   - 0.8+: Continue current approach
   - 0.5-0.7: Consider minor adjustments
   - Below 0.5: Seriously consider backtracking and trying a different approach
7. If unsure or if your score is low, backtrack and try a different approach, explaining your decision.
8. For mathematical problems, show all work explicitly using LaTeX for formal notation and provide detailed proofs.
9. Explore multiple solutions individually if possible, comparing approaches in your reflections.
10. Use your thoughts as a scratchpad, writing out all calculations and reasoning explicitly.
11. Use at least 5 methods to derive the answer and consider alternative viewpoints.
12. Be aware of your limitations as an AI and what you can and cannot do.

### Example Problem:
*Problem*: Solve for \( x \) in the equation \( 2x + 3 = 11 \).

### Expected Format:
*Step 1*: Subtract 3 from both sides of the equation.  
<thinking>Subtracting 3 from both sides should isolate the term with \( x \). Am I confident this is the correct first step? Yes, because it simplifies the equation to \( 2x = 8 \).</thinking>  
*Step 1 Confidence Score*: 0.85

*Step 2*: Divide both sides by 2.  
<thinking>Dividing by 2 will solve for \( x \). This is a straightforward division. Is there any reason to doubt this step? No, it should give \( x = 4 \).</thinking>  
*Step 2 Confidence Score*: 0.90

*Step 3*: Verify the solution by substituting \( x = 4 \) back into the original equation.  
<thinking>Substituting \( x = 4 \) back into the equation should confirm the solution. Does \( 2(4) + 3 = 11 \)? Yes, it does, so the solution is verified.</thinking>  
*Step 3 Confidence Score*: 1.00

Question: Maya spotted 9 butterflies on her lavender flowers. Then, hiding behind the flowers, she discovered 3 dozen caterpillars. How many butterflies and caterpillars did Maya find altogether?
Answer: Let's calculate the number of caterpillars first. 
Since there are 12 in a dozen, 3 dozen caterpillars amount to 3 * 12 = 36 caterpillars.
Adding the 9 butterflies to the 36 caterpillars, Maya spotted 9 + 36 = 45 insects in total.
So, Maya found \boxed{45} butterflies and caterpillars altogether.
Write a descriptive, fictional, imaginative timeline of an alternate universe where the internet was invented 50 years earlier
If everyone fall into psychosis
What was “My Little Pony: Friendship is Magic” accused of?
The Ghost and Molly McGee - Call of Ghostly (the GhostFriends (Molly, Scratch, Libby, Darryl, Ollie and June) get a new high-tech video game, only to bring it to life upon playing it, and now they work together with their parents (Sharon, Pete, Leah, Ruben and Esther) to save Brighton from a technological invasion)
how to desktop folder(new) in linux via terminal
that would be great, tonight we have afghan people gathering at student union, if you want you can join us, if not we can do it alone. ( Make it correct )
write an email in response to this "Hello,
 
Thank you for reaching out and for your interest in the SUMMIT Lab. I really appreciate your interest in working with me and I am excited to review your application. Unfortunately, I am unable to respond personally to every email I receive about the PhD position in my lab. This is a function of the number of emails I receive as well as to ensure equity across applicants. 
 
For more information about the SUMMIT Lab and the criteria I use to evaluate applicants please see: https://sites.bu.edu/summitlab/
 
Information about the application process can be found here: https://www.bu.edu/psych/academics/phd/clinical/applying/
 
The application portal can be found here: https://www.bu.edu/cas/admissions/
 
All the best,
Dr. Meisel

<PRESIDIO_ANONYMIZED_PERSON>, PhD (pronouns: he/him)
Assistant Professor 
Boston University | Department of Psychological and Brain Sciences
900 Commonwealth Ave | Room 214 | Boston, MA 02215
Email: <PRESIDIO_ANONYMIZED_EMAIL_ADDRESS>
SUMMIT Lab Website 
" tell him that i appreceate his words and i try my best to do that but as an international student, it is very important to me that if i can get any scholarship fund. tell him politely that if he can help with process
is it possible to choose certain avatar from range on telgram group just for me?
System: 
User: Generate a detailed and realistic news article about an event in the Consumer Trends domain, focusing on the Health Care Equipment industry, and located in Russia. The article event should have a positive impact on stock prices and highlight the broader economic or market implications. The article should be 225 words long.
Assistant:
System: You are a JSON assistant. You only reply in valid JSON and never in normal text. Assign a difficulty level to the video information provided below. The output should be a single property called "result" with a float value between 0 and 1. The difficulty levels are categorized as follows: 
0.0 - Complete Beginner: This level includes very basic vocabulary and simple phrases, accompanied by clear visuals and context, making it suitable for individuals with no prior knowledge of the target language. 
0.3 - Beginner: This level features simple sentences and commonly used vocabulary. The video may provide some visual aids and context to help with understanding. 
0.5 - Intermediate: This level presents more complex sentences and a broader vocabulary range. It may include some idiomatic expressions that require additional background knowledge. 
0.6 - Upper Intermediate: This level includes specialized vocabulary and concepts relevant to specific fields. Viewers should have a reasonable proficiency in the target language for full understanding. 
0.8 - Advanced: This level uses advanced vocabulary and intricate sentence structures, potentially involving nuanced discussions that necessitate a strong command of the language. 
1 - Very Advanced: This level is aimed at fluent speakers, incorporating specialized terminology and concepts that may not be familiar to all native speakers.
Assistant: Title: 31. Pet - Intermediate Korean
Language: ko
Description: #korean #comprehensible #input

Intermediate Korean Comprehensible Input: Pet
Basic Korean Language Learning 
email: kiwi.korean.input@gmail.com
Caption: 안녕하세요 오늘은 애완동물을 배울 거예요 애완동물을 키워요 네 고슴도치를 키워요 고슴도치 이름이 뭐예요 제 고슴도치 이름은 선인장이에요 그렇군요 귀엽네요 저는 앵무새를 키워요 애완동물을 키워요 애완동물 사람이 키우는 동물은 애완동물이에요 강아지와 고양이를 애완동물로 키워요 애완동물에게 이름을 만들어 줘요 네 고슴도치를 키워요 고슴도치 밤 밤 고슴도치는 가시가 있어요 고슴도치는 밤과 비슷해요 고슴도치는 벌레를 먹어요 고슴도치 이름이 뭐예요 제 고슴도치 이름은 선인장이에요 선인장 사막 낙타 선인장에도 가시가 있어요 선인장은 사막에 있어요 낙타가 사막에서 선인장을 먹어요 그렇군요 귀엽네요 저는 앵무새를 키워요 앵무새 앵무새는 사람의 말을 따라 해요 앵무새는 씨앗을 먹어요 같은 말을 계속 하는 사람을 앵무새라고 해요 애완동물을 키워요 네 고슴도치를 키워요 고슴도치 이름이 뭐예요 제 고슴도치 이름은 선인장이에요 그렇군요 귀엽네요 저는 앵무새를 키워요
Assistant:
Let you be very good at math.

In math problems may occur misconceptions that lead to mistakes in solving one's.
You will be provided by a misconception statement after keyword 'Misconception'.
Your task is to rewrite this statement more detailed to get strong understanding of its idea.
Misconception: Thinks there are 10cm in a metre
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: benefits of washing face with cold water
Create a how-to blog heavily on sauce-labs-enters-into-definitive-agreement-to-acquire-autonomiq; start with a catchy statement and lastly, call to actions and how our RESTful AI tool can help. Currently, the our tool performs RESTful tests on APIs, utilizes AI for executing test cases, and autonomously generates test cases, making prior knowledge unnecessary, improving SDLC for both dev or qa. Just plug in your cURL request and run test leveraging our AI. Call to action at https://blvck.ai, Productive, Informative, only content, dont mention the text "title", dont mention the text "call to actions", no prefix content from chagpt, markup format
Greetings!
I’m Edward Matthews Jr. I have 20yrs experience shooting. I shoot on canon equipment. I currently use and r5c and L glass. I own a 16 -24mm 2.8, a 24-70mm 2.8, and a 70-200mm 2.8. I own my own transportation and am available during the week. I have commercial insurance. I already own a Mini 4 Pro and am currently studying to part 107 certification.
I can be contacted directly at 762.258.7785 or <PRESIDIO_ANONYMIZED_EMAIL_ADDRESS>
Looking forward to speaking to you. Please email or text before directly calling to establish a time for meeting incase I maybe with client or on assignment.

Small Steps Move Mountains,
Edward Boyd Matthews Jr
Emphoto.us
create a 5 minutes pitch to market the vietnamese coffee phin filter to a group of american college student
Name loom house
[the headspace]

KEL: “HERO, don’t you think AUBREY’s belly looks…different?”

HERO: “You’re right, KEL. It looks a little…bigger. SUNNY?”

SUNNY: (putting away his knife) “…?”

KEL: “Did you notice anything strange about AUBREY?”

SUNNY: (tilting his head) “Hmm, now that you mention it, her belly does seem a bit bigger than usual. Should we ask her about it?”

HERO: “Maybe we should. It could be something important. Let’s go find her.”

(The trio walks over to where Aubrey is sitting, engrossed in a book.)