agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Given the following system described by the input-output relation:
𝑦 = 𝐷2𝐴𝐷2𝐴𝐷2𝐴𝑥
Where 𝑥 and 𝒚 are the input and output signals, respectively, 𝑫𝒏 is the 
downsampling operator by n, and A is a filtering operator.
a) Find the simplest equivalent system, 𝑦 = 𝐷𝑛𝐻𝑥 (𝐻 is a filtering operator). 
Specify the downsampling factor n and write 𝐻 in the z-transform and 
Fourier domains, in terms of 𝐴(𝑧).
b) If 𝐴 is an ideal half-band lowpass filter, draw |𝐻(𝑒
𝑗𝑤)|, clearly specifying the 
cutoff frequencies.
c) If 𝐴 is an ideal half-band highpass filter, draw |𝐻(𝑒
𝑗𝑤)|, clearly specifying 
the cutoff frequencies. Is this transfer function capturing the highest 
frequency content in the sequence 𝑥? Explain.
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: Please answer the following question: Two campers were in the woods over the week-end. They both had canned soup with them. Pete heated the can without venting it and it exploded, while Dan opened his can and heated it over the fire with no additional problems.  Which camper learned less about kinetic energy?  Hint: It would be very unadvisable to place a can of soup over a campfire without venting the can. As the can heats up, it may explode. The kinetic-molecular theory explains why. The air inside the rigid can of soup is given more kinetic energy by the heat coming from the campfire. The kinetic energy causes the air molecules to move faster and they impact the container walls more frequently and with more force. The increase in pressure inside may eventually exceed the strength of the can and it will explode. An additional factor is that the soup may begin boiling which will then aid even more gas and more pressure to the inside of the can.
Answer:
Answer: Dan learned less about kinetic energy.
dịch tiếng việt "WHAT ARE THE DIFFERENCES BETWEEN CHATGPT 3.0 AND CHATGPT 3.5?
The main difference between GPT-3.0 and GPT-3.5 is the size of the model. GPT-3.0 is the smaller of the two models, with 175 billion parameters, while GPT-3.5 is significantly larger, with a staggering 355 billion parameters. This means that GPT-3.5 has more capacity to learn and generate responses than GPT-3.0."
что хочет оптимизатор гугла

Font display Est savings of 260 ms
Consider setting font-display to swap or optional to ensure text is consistently visible. swap can be further optimized to mitigate layout shifts with font metric overrides.FCP
URL
Est Savings
odisgate.ru 1st party
470 ms
…webfonts/fa-brands-400.woff2(odisgate.ru)
260 ms
…webfonts/fa-solid-900.woff2(odisgate.ru)
220 ms
Network dependency tree
Avoid chaining critical requests by reducing the length of chains, reducing the download size of resources, or deferring the download of unnecessary resources to improve page load.LCP
Maximum critical path latency: 1,004 ms
Initial Navigation
/vcf(odisgate.ru) - 669 ms, 149.12 KiB
…webfonts/fa-brands-400.woff2(odisgate.ru) - 1,004 ms, 105.81 KiB
…webfonts/fa-solid-900.woff2(odisgate.ru) - 968 ms, 146.93 KiB
Preconnected origins
preconnect hints help the browser establish a connection earlier in the page load, saving time when the first request for that origin is made. The following are the origins that the page preconnected to.
no origins were preconnected
Preconnect candidates
Add preconnect hints to your most important origins, but try to use no more than 4.
No additional origins are good candidates for preconnecting
Sold for: $290,500

This famous dress was worn by Diana when she danced with John in The White House to the music of "Saturday Night Fever" back in 1985. It was acquired by an anonymous buyer as a "surprise for his wife" — that is one expensive surprise! Who knows if it went down well because it was sold again in 2019 for $320,000. This time it was snapped up by the Historic Royal Palaces after it failed to sell at auction.
translate to darija pls
Come up with a prompt to create an abstract painting of modern art on the theme of the ancient antique city of Kinetos. So that I can give them to the generative model and it will create a work of art as if painted by a famous artist. Use modern colors and describe in detail what should be in the prompt and what colors are used. It doesn't necessarily have to be ruins, but rather a view of the city when it was still in its prime. Without your comments!
tell me  about key glock
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: Earthquakes, heavy rains, snowstorms, wildfires and floods could result in serious damage to or the destruction of facilities, equipment or means of access to our property, or may otherwise prevent us from conducting exploration activities on our property. There may be short periods of time when the unpaved portion of the access road is impassible in the event of extreme weather conditions or unusually muddy conditions. During these periods, it may be difficult or impossible for us to access our property, make repairs, or otherwise conduct exploration activities on them._
Assistant:
I want to generate a group avatar for a Feishu group chat. The role of this group is daily software technical communication. Now the subject technology stacks that members of this group discuss daily include: algorithms, data structures, optimization, functional programming, and the programming languages often discussed are: TypeScript, Java, python, etc. I hope this avatar has a simple aesthetic, this avatar is a single person avatar
I am Shadow, an advanced AI assistant based in Berlin, Germany. I communicate in English but understand German context and culture.

Current Global Times:
- Berlin, Germany: 2024-12-18 18:56:46 (UTC+01:00)
- New York, USA: 2024-12-18 12:56:46 (UTC-05:00)
- Tokyo, Japan: 2024-12-19 02:56:46 (UTC+09:00)
- London, UK: 2024-12-18 17:56:46 (UTC+00:00)
- Sydney, Australia: 2024-12-19 04:56:46 (UTC+11:00)
- Dubai, UAE: 2024-12-18 21:56:46 (UTC+04:00)
- Shanghai, China: 2024-12-19 01:56:46 (UTC+08:00)
- Los Angeles, USA: 2024-12-18 09:56:46 (UTC-08:00)
- Singapore: 2024-12-19 01:56:46 (UTC+08:00)
- Paris, France: 2024-12-18 18:56:46 (UTC+01:00)

I have several capabilities:

1. I can search and analyze information
2. I can help with coding and programming
3. I can assist with creative tasks
4. I can handle date and time operations globally
5. I can engage in natural conversation

Available Functions:

1. searchWeb(query)
   Usage: "Let me search that for you" or "I'll look that up"
   Example: searchWeb("latest news about AI")

2. analyzeCode(code)
   Usage: "I'll analyze this code" or "Let me explain this code"
   Example: analyzeCode("function hello() { return 'world'; }")

3. generateCreative(prompt)
   Usage: "I'll help create that" or "Let me generate that for you"
   Example: generateCreative("write a short story about a robot")

4. formatDate(date, format, timezone)
   Usage: "I'll format that date" or "Let me show you that time in a different format"
   Example: formatDate("2024-03-20", "dddd, MMMM D, YYYY", "Europe/Berlin")

5. calculateTime(date, operation, value, unit, timezone)
   Usage: "I'll calculate that time" or "Let me work out that time difference"
   Example: calculateTime("2024-03-20", "add", 3, "days", "Europe/Berlin")

6. getTimeIn(location)
   Usage: "I'll check the time there" or "Let me tell you the time in that location"
   Example: getTimeIn("Tokyo")

7. learnFromInteraction(interaction)
   Usage: Automatically used to learn from our conversations

When you ask me something, I'll use these functions as needed to provide accurate and helpful responses. I'll always explain what I'm doing and why.

Let me know how I can assist you today!

Current time: 2024-12-18 18:56:46
Context: 

User: Hello! What time is it in India, specficially? I want the exact tiem of Amritsar?
Generate a concise and precise prompt for Midjourney describing a stock image on the theme of 'Plants and Flowers'. Focus on key elements such as lighting, composition, and colors to achieve a professional result. Return the result in JSON format with the following structure: { "generated": 0, "id": <new_id>, "category": "<chosen_category>", "prompt": "<your prompt here>" }.
Dinosaur is a production of
The English and Farsi text is sent unchanged from the beginning to the end, so that the English and Persian sentences are next to each other, that is, one Farsi sentence and one English sentence next to it.The English legal system also applies to Wales and is often closely followed in Northern Ireland. It has two types of law:
"(a) Common law: the basic principles of law as applied in past cases (case law) where Parliament has not made any special rulings or Acts. The existence of common law means that a judge does not have to refer to Parliament when an unfamiliar case comes up. Instead, be looks for precedents (past cases of a similar kind) and for general principles;
(b) Statute law: specific laws passed as acts of Parliament. Statute law takes priority aver common law so far as it covers the case being heard. If it does not give specific guidance (e.g. in a new type of case which was not envisaged when the law was passed), then judges apply the common law, trying as far as possible to do what they think Parliament would have wanted them to, if it had known about the case in hand."
Extracts from an Article published in The International Business Topics", collected by D. Cotton, 1984, Bell and Hyman Publications, p. 133.
7
This system gives a lot of power to judges. They do not, however, have an entirely free hand. They are always bound by the decisions of more important courts than their own- and the most powerful court in the country is Parliament. Judges need not give the same verdict as a higher court; that would be too vague a rule and would lead to bad decisions. They must, however, apply the law in the same way and adopt the higher court's reasoning in their own consideration of the case.نظام حقوقی انگلستان
نظام حقوقی انگلستان در ولز نیز اعمال شده و اغلب به دقت در ایرلند شمالی متابعت می شود. این نظام دارای دو نوع حقوق است:
۲
(الف) كامن لا: " كامن لا عبارت از اصول اساسی حقوق است که در دعاوی گذشته رویه قضایی که مجلس قواعد یا قوانین ۱۰ خاصی مقرر نکرده، بکار رفته است وجود کامن لا بدین معنی است که به هنگام آمدن یک پرونده متفاوت با پرونده های قبلی قاضی مجبور نیست به [مصوبات مجلس رجوع کند؛ بلکه به جای آن در سابقه قضایی (پرونده های قبلی از نوع مشابه و اصول کلی ۱۱ کنکاش به عمل می آورد؛
پیش(ب) حقوق موضوعه حقوق موضوعه عبارت از قوانین خاصی است که تحت عنوان قوانین مجلس به تصویب رسیده اند. حقوق موضوعه بركا من لا اولویت مییابد تا جایی که پرونده های تحت بررسی راهم در بر میگیرد. در صورتی که حقوق موضوعه راه حل معینی ارائه ندهد برای مثال در نوع جدیدی از دعوی که در زمان تصویب قانون پیش بینی نشده است ،قضات کامن لا را اعمال میکنند | و در این راستا تا جای ممکن تلاش میکنند تا آنچه را که تصور میکنند مجلس در صورت آگاهی از پرونده تحت رسیدگی از آنان طلب میکرد انجام
دهند.
این نظام حقوقی قدرت زیادی به قضات ۷ اعطا می.کند با اینحال دست آنها کاملاً باز نیست. آنها همواره مقید به آرای دادگاههای مهمتر از خود و قدرتمندترین دادگاه کشور که مجلس است میباشند. قضات لازم نیست همان حکمی ۱۰ را که دادگاه بالاتر داده است صادر کنند ۱۱ این ،آمر ،قاعده بسیار مبهمی ۱۲ بوده و منجر به آرای نامطلوبی خواهد شد. [اما] به هر حال قضات باید قانون را به همان طریق اعمال نموده و استدلال ۱۳ دادگاه بالاتر ۱۴ را در بررسی خود نسبت به پرونده، اتخاذ نمایند.
Do you know of a paper that matches this description: "if patients who are getting a lot of drugs during the cardiac arrest, they tend to have fewer NDEs and the NDEs are muted. The experiences have a lower chance of being vivid and they have a lower chance of having a near-death experience."
Former Empires and Kingdoms in Spice Trade - :Spices - :Role
When using several breakpoint ranges in CSS media queries, should I use same max-width and min-width in adjacent width ranges?
I want to create a blog post based on automated-mobile-testing-with-sauce-labs for our RESTful AI tool. Currently, the 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, Exciting, Informative, only content, markup format
I am applying for the PHD related to antibiotics resistance ,can you write me a  strong recommendation letter for doing my application .I have an experience in conduction research related to antimicrobial resistance since my master  was done  on lab based research project aiming at conduction the Antibacterial activity of nanoparticles of  for garlic extract against Staphylococcus aureus, Porphyromonas gingivalis, Streptococcus mutans, and E. coli.
Following this instruction :
1. Strictly adhere to PEP-8 standards, ensuring code is clean, well-structured, and follows Python's style guide for readability.
2. Use appropriate modules like `typing` for type hints, ensuring code clarity, maintainability, and leveraging Python's standard libraries effectively.
3. Focus on time, space, robustness, scalability; write optimized, efficient code that can handle large datasets and scale seamlessly.
4. Implement comprehensive error handling, catching exceptions gracefully, providing meaningful error messages, and ensuring code robustness under unexpected conditions.
5. Ensure the developer agent writes advanced, maintainable Python code, balancing performance and readability while adhering to best practices.


TASK :

Using the Plotly module, visualize a dataset loaded from any source, consisting of multiple columns and rows. Your task is to generate insightful and clear visualizations to represent the data meaningfully. Depending on the dataset's features, you may explore relationships between variables, distributions of specific columns, or summary statistics. Use appropriate chart types  that best suit the structure of the dataset. Ensure that the visualization includes proper labels, titles, and legends, offering a clear understanding of the data and highlighting potential trends, patterns, or anomalies.


2) play button analysis row by rows 

Note: generalised .novel, reusable generalised with zero hard coding
from datasets import load_dataset

dataset=load_dataset("fka/awesome-chatgpt-prompts")
print(dataset)


#output
DatasetDict({
    train: Dataset({
        features: ['act', 'prompt'],
        num_rows: 170
    })
})
Please, Translate the following English into Korean: 

Hello,

One student have requested an exception for their absence. While many requests have been denied as they do not align with the school rules, we acknowledge that there might be unforeseen circumstances where an exception could be reasonable, especially with supporting evidence.

After thorough discussions, we have decided to also seek students' opinions on these exceptional cases. This is because transparency and fairness are important.

Please share your opinion regarding this matter. It's important to note that while your input is highly valued and will guide our decision-making process, the final decision will be reached through discussion. Your input is appreciated but not mandatory.

The deadline for your feedback is Sep 29th at 23:59.

Thank you,

PS

Only one student who submitted the statement can recover the attendance score at the end of this discussion.
User: whats 5 cows and 10 chickens got in common? 
Assistant: Both 5 cows and 10 chickens are types of livestock commonly found on farms. They are raised for agricultural purposes, such as for meat, milk, or eggs. Additionally, both animals contribute to the ecosystem of a farm, providing manure that can be used as fertilizer. They also share the common characteristic of being domesticated animals that humans have bred for specific traits over generations.
User: write me a half marathon training program from now until 3rd May for the Rotorua New Zealand half
Assistant: Sure! Here’s a 12-week half marathon training program leading up to the Rotorua Half Marathon on May 3rd. This program assumes you have a base fitness level and can comfortably run for at least 30 minutes. Adjust the distances and paces according to your current fitness level.

### Half Marathon Training Program

**Week 1 (Feb 5 - Feb 11)**
- **Mon:** Rest or cross-training (cycling, swimming, etc.)
- **Tue:** 3 miles (5 km) easy run
- **Wed:** 2 miles (3 km) easy run + strength training
- **Thu:** 3 miles (5 km) easy run
- **Fri:** Rest
- **Sat:** 4 miles (6.5 km) long run
- **Sun:** Cross-training (30-45 minutes)

**Week 2 (Feb 12 - Feb 18)**
- **Mon:** Rest
- **Tue:** 3 miles (5 km) easy run
- **Wed:** 2 miles (3 km) easy run + strength training
- **Thu:** 4 miles (6.5 km) easy run
- **Fri:** Rest
- **Sat:** 5 miles (8 km) long run
- **Sun:** Cross-training (30-45 minutes)

**Week 3 (Feb 19 - Feb 25)**
- **Mon:** Rest
- **Tue:** 4 miles (6.5 km) easy run
- **Wed:** 3 miles (5 km) easy run + strength training
- **Thu:** 4 miles (6.5 km) easy run
- **Fri:** Rest
- **Sat:** 6 miles (10 km) long run
- **Sun:** Cross-training (30-45 minutes)

**Week 4 (Feb 26 - Mar 3)**
- **Mon:** Rest
- **Tue:** 4 miles (6.5 km) easy run
- **Wed:** 3 miles (5 km) easy run + strength training
- **Thu:** 5 miles (8 km) easy run
- **Fri:** Rest
- **Sat:** 7 miles (11 km) long run
- **Sun:** Cross-training (30-45 minutes)

**Week 5 (Mar 4 - Mar 10)**
- **Mon:** Rest
- **Tue:** 5 miles (8 km) easy run
- **Wed:** 3 miles (5 km) easy run + strength training
- **Thu:** 5 miles (8 km) easy run
- **Fri:** Rest
- **Sat:** 8 miles (13 km) long run
- **Sun:** Cross-training (30-45 minutes)

**Week 6 (Mar 11 - Mar 17)**
- **Mon:** Rest
- **Tue:** 5 miles (8 km) easy run
- **Wed:** 4 miles (6.5 km) easy run + strength training
- **Thu:** 6 miles (10 km) easy run
- **Fri:** Rest
- **Sat:** 9 miles (14.5 km) long run
- **Sun:** Cross-training (30-45 minutes)

**Week 7 (Mar 18 - Mar 24)**
- **Mon:** Rest
- **Tue:** 6 miles (10 km) easy run
- **Wed:**
User: what is the weather today>
Assistant:
Out of your busy schedule, if you can to give me 5-10 minutes of yours, it will be really helpful.
Write me a new episode of Paw Paws (1985) (Credits included) (Running Time: 6 Minutes & 51 Seconds) (Featuring: Safety Fuddson, Bling Bling And Lola Leaper)
Translate the following text to English. ONLY return the translated text and nothing else.

good
Assistant: 
User: 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
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
Does the author's intention in this app review relate to a bug report or feature request or other?
review: Thank you Social Media Team for resolving my issue!'
intention: '
Assistant:
Assistant:
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 collect, store, access and otherwise process certain confidential or sensitive data, including proprietary business information, personal data or other information that is subject to privacy, data protection and security laws, regulations and/or government or customer-imposed controls. We operate in a global environment in which the data privacy regulatory and legal framework and corresponding enforcement and litigation landscape are evolving quickly. Moreover, the data privacy laws of the specific jurisdictions in which we operate may vary and potentially conflict. As such, we incur and expect to continue to incur significant ongoing costs as part of our efforts to comply with applicable law. Any failure, or perceived failure, to comply with our data protection or privacy-related legal obligations may result in reputational damage, loss of business, regulatory investigations and fines, and civil lawsuits, and related monetary damages and injunctive requirements, any of which may adversely affect our results of operations and profitability.
Assistant:
What%20does%20this%20mean%0A%0Af%3A%20(4%2C7%5D%20%E2%86%92%20(11%2C17%5D%20
reply on this

Ciao Zia! How you doing?