agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Take all these informal and write them into an original cohesive paragraph using a critical straitforward informal tone: Yuna exudes a vibrant and youthful aura when she takes the stage, combining her energy with a delightful blend of cuteness, femininity, and sassiness, Her dynamic facial expressions add an extra layer of excitement and engagement to her performances, as she skillfully manipulates her expressions to fit multiple vibes within one stage, What sets Yuna apart is her fearlessness in embracing unconventional expressions that may not conform to traditional notions of beauty, as she prioritizes delivering a flawless and enthralling performance above all else. Yuna's approach to facial expressions is as bold as it is unconventional. She isn’t afraid to experiment with a wide range of expressions, even those considered "ugly" or unconventional, to fully embody the character of the performance. This willingness to go beyond traditional notions of beauty on stage adds depth to her artistry, making her performances more relatable and emotionally impactful. She uses her face as a canvas, conveying a spectrum of emotions that can shift from playful to intense in an instant, showing her versatility and commitment to the performance. At the same time, Yuna fully embraces her femininity, bringing it to the forefront of her stage presence. Whether through her confident, poised movements or her choice of styling, she exudes a sense of self-assuredness that celebrates her womanhood. This duality—combining a willingness to break conventional beauty standards with a strong embrace of her femininity, and Additionally, Yuna’s athletic background, particularly in sports like floor hockey, gives her an edge in stamina and agility, which she seamlessly incorporates into her choreography. Her ability to match her expressions to every move and add her unique flair, especially in upper body movements. It all makes her a beast.
Given the example function template: def add_components_to_canvas(canvas_overlay, text=None):
#         """Example to dynamically add components to the canvas."""
        
#         # Include any and all imports needed for the components
#         from PyQt5.QtWidgets import QPushButton, QLabel, QWidget
#         from PyQt5.QtCore import Qt, QTimer, QThread, pyqtSignal, QPropertyAnimation, QRect, QCoreApplication, pyqtProperty
#         from PyQt5.QtGui import QPainter, QColor

#         # Example button
#         button = QPushButton("Click Me", self)
#         button.move(100, 100)
#         button.clicked.connect(lambda: print("Button clicked!"))
#         canvas_overlay.add_component(button)

#         # Example label
#         label = QLabel("Dynamic Overlay Label", self)
#         label.move(100, 150)
#         label.setStyleSheet("color: white; font-size: 14px;")
#         canvas_overlay.add_component(label), generate the functionContent, functionName and functionParameters with the exact same function definition to incorporate information from a LLM response "Processing your login request... Please wait a moment while I securely access your account." for user intent login. Make the UI as clean and simple as possible and always use WHITE/BRIGHT colors for texts. Omit any miscellaneous symbols and use English alphabets and numbers only.
Send only season number from below text like 01, 02, 03.etc without any extra text.

@PriyaMovis - Thandel (2025) - [Telugu ONLY] - Pre-HDRip - x264 - 850MB
System: You act as a Finance NER model whose goal is to extract all Company Names and Tickers from the given text and return None if no match were found.
Answer in the following format :
Company Names: <Company Name 1>, <Company Name 2>, ...
Tickers: <Ticker 1>, <Ticker 2>, ...
User: General Motors said on Monday it will not advertise in the 2024 Super Bowl, the first time since 2019 it will sit out the heavily watched NFL championship game as it cuts marketing costs as part of a broad strategy to reduce fixed expenses. GM, which said in July it planned to cut operating costs by an additional $1 billion through the end of next year, said in October it was slowing the launch of several EV models to cut their costs, and pulling back on EV product spending. The GM Super Bowl decision was reported earlier by Ad Age.
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: Changes in interest rates can have a material impact on the value of our securities, a primary objective of which is to provide a ready source of contingent liquidity. An increase in rates could lower the collateral value of these securities, reducing the amount we could borrow, and lead to losses in the event of their sale. Since our earning assets are primarily in the form of loans and debt securities, changes in interest rates can have a material impact our net interest income, net interest margin, fee income, and credit costs. Changes in interest rates can affect our net interest income and margin as our asset yields and funding costs may not rise or fall in parallel, causing our net interest income to increase or decrease and our margin to expand or contract. If our funding costs rise faster than our asset yields, or if our asset yields fall faster than our funding costs, our net interest income could decrease, and our margin could contract.
Assistant:
صحح "Welcome
Your old account has been canceled, because we believe that you are unable to log in, and we have created a new account for you.
Login data.
Email Address:
<PRESIDIO_ANONYMIZED_EMAIL_ADDRESS>

Password
12345

Congratulations
You're gifted a free $5 starter plan, to download 100 SVG files

The automatic renewal of your plan has been cancelled, and you will not be charged any fees again, until you manually renew your plan yourself.
Expiration Date: 12-24-2023

We are grateful for your visit and that you are a member of our community

If you encounter any other problem, do not hesitate to contact me
I wish you all the best

Sarah."
What if there was a flashback scene in “Minions: The Rise of Gru” about Wild Knuckles where where he forms the team "Vicious 6".?
Based on this experiment:
Start of the experiment:
This practical, which will count towards your workshop assignments grade, will
showcase how you may collect and analyze pupillometric data to learn about working
memory.
The pupil responds to brightness: it constricts (i.e., becomes smaller) when light enters
the eye, whereas it dilates (i.e., becomes bigger) in darkness. Classically it has been
regarded as a low-level reflexive mechanism that doesn’t involve higher-order cognition.
In the past few decades, this view has changed. For example, researchers have recently
shown that this so-called pupillary light response does not only apply to the things at
which we look directly, but also to the things to which we attend covertly (i.e., without
looking) (e.g., Mathôt, van der Linden, Grainger, & Vitu, 2013). It has also been shown that
the pupil responds to the brightness of internal representations held in (working)
memory. This practical revolves around these phenomena.
We will build a pupillometric experiment in which participants have to memorize, in each
trial, the orientation of two gabor stimuli (Figure 1). The two stimuli are presented on
respectively a white and a black background. After a short duration, the participant sees
a third gabor stimulus, and the participant has to indicate whether this final stimulus
matches with one of the two stimuli seen earlier.
If the pupil indeed responds to the brightness of memorized objects, then we may
expect to find that the pupil’s size is influenced by whether the probed stimulus was
perceived on a white or black background.
End of the experiment.

And based on this answer: Our Dependent Variable (DV) is the pupil size of the participant. Our Fixed Effects are the orientation of the Gabor Stimuli that the participant should try to memorise as well as the background colour of the Gabor Stimuli that are showed at the beginning, this can be black or white. Our Random Effect is the Participant because each participant is a different and this contributes for the diversity of our data.

How should I modify this R code ?

library(lme4) # This is the package that we need for using LMMs


# First, specify the path to the datafile:
setwd('/Users/julianramondo/Desktop/Assignment 2')
data <- read.csv('data.txt')


# For the analysis of RTs, we want to exclude incorrectly answered trials:
data <- data[data$error == 0,]


# We are interested in the trials where the target was probed
data <- data[data$final_stimulus == "target",]

# And we want to remove outliers:
outlier1 <- mean(data$RT) + 2.5 * sd(data$RT)
outlier2 <- mean(data$RT) - 2.5 * sd(data$RT)
data <- data[data$RT > outlier2,]
data <- data[data$RT < outlier1,]



model1 <- lmer(
    RT ~ distractor + (1|subject)+(1|item),
    data=data, )




# To read out the results, request a summary of the model
summary(model1)
Assistant: 
User: System: Imagine you are translator for Townsmen – A Kingdom Rebuilt hands the crown to you: Guide your people from their first steps in a small village to a massive medieval metropolis with thousands of inhabitants. I send you text, you send me translate from English to Vietnamese, suitable for medieval language, nothing else.
User: Let’s get dangerous!
Assistant:
Assistant:
How to emulate SpongeBob, Baldi, Tom Cat, Axel Stone, Bugs Bunny, Jason Lee Scott, Gordon Freeman, Caillou (GoAnimate), Ellis (Left 4 Dead 2), Edd (Ed, Edd n Eddy), Zack Fowler (Monster Madness: Battle for Suburbia), Buster Bunny, Leonardo, Ned (Ned’s declassified school survival guide), Scott Pilgrim, and Chuck E. Cheese personality in school
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
examples:

review: 'Ive had Chrome for about a week now and was excited about it But everyday it crashes at least once a day Sorry but going back to Safari'
intention: bug report
review: 'i love it and so does my daughter just want more easier ways for fish bucks'
intention: feature request
review: 'Went to get my car refinanced and I went into shock The bank enlighten me that Credit Karma is 70 points higher All I can say is google Credit Karma and see the negative reports'
intention: other
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
examples:

review: 'Ive had Chrome for about a week now and was excited about it But everyday it crashes at least once a day Sorry but going back to Safari'
intention: bug report
review: 'i love it and so does my daughter just want more easier ways for fish bucks'
intention: feature request
review: 'Went to get my car refinanced and I went into shock The bank enlighten me that Credit Karma is 70 points higher All I can say is google Credit Karma and see the negative reports'
intention: other
Does the author's intention in this app review relate to a bug report or feature request or other?
review: 'game should save itself to my play account''
intention: '
Assistant:
how to make wsl2 use all CPU and RAM
How does the word "Артуриана" translate into English? What's it?
How Dragon Ball Super characters react to Cell is alive (Cell had DNA Beerus and Whis.  power level: 49.71 Septillion)
Hi help me with this work please

this is a text in English:

“2.3 Taxes. The Purchase Price and any amounts owed for the Service Plan, if any, are exclusive of, and do not include, any local, state or federal excise, sales or use, or other taxes now in effect or hereafter levied by reason of the transactions contemplated by this Agreement. Other than applicable income taxes owed by Seller for its receipt of Buyer’s payments hereunder, Buyer shall pay and be solely responsible for any and all taxes levied by reason of the transactions contemplated by this Agreement.”

And this is my version I translated in Spanish: 

“2.3 Impuestos: El precio de compra y cualquier monto correspondiente al plan de servicios, si los hubiera, no incluyen ningún tipo de impuesto local, estatal o federal sobre consumo, ventas, uso o similares, ya sea que estén en vigor o que se impongan en el futuro a razón de las transacciones contempladas en este acuerdo. Con excepción de los impuestos sobre la renta aplicables al Vendedor, que este deberá pagar por la recepción de los pagos del Comprador en virtud del presente documento, el Comprador pagará y será el único responsable de todos y cada uno de los impuestos que se impongan a razón de las transacciones contempladas en este acuerdo.”

Is my version written grammatically correct? If it doesn’t then correct it please, that sounds natural for people who speaks Spanish, like a native, if you have to restructure something or reformulate it, then do it, only to make the text more attractive, keep in mind that you have to mark in bold the changes and explain why. Be guided by the grammar rules of Spanish.
Hello, I was wondering if you could create a completely unique ceramic mug?
Send only season number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all].Doraemon.S17E27.Nobita.Wins.with.a.Cucumber.-.Extension.Spray.480p.x264.DSNP.WEB-DL.Multi.Audio.mkv
what is the dose and route of administration of ondasetron for a vomiting 9 month old girl? Give the answer in miligrams per kilogram per day and also provide the number of doses to administer per day.
What changes have occurred in Russia's economic development in the early 21st century? What measures made it possible to bring the economy out of the crisis and start economic growth?
give me a response to ```[Nodding] Absolutely. I believe that destiny plays an important role in our lives, guiding us towards the path that we are meant to take. I'm a firm believer that fate gives us the courage to take risks and challenges, allowing us to grow and reach our full potential.``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
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 i_item_id ,i_item_desc ,i_category ,i_class ,i_current_price ,sum(ws_ext_sales_price) as itemrevenue ,sum(ws_ext_sales_price)*100/sum(sum(ws_ext_sales_price)) over (partition by i_class) as revenueratio from   web_sales  ,item  ,date_dim where  ws_item_sk = i_item_sk  and i_category in ('Men', 'Books', 'Electronics')  and ws_sold_date_sk = d_date_sk  and d_date between cast('2001-06-15' as date)     and (cast('2001-06-15' as date) + interval '30' day) group by  i_item_id ,i_item_desc ,i_category ,i_class ,i_current_price order by  i_category ,i_class ,i_item_id ,i_item_desc ,revenueratio limit 100;```

[REWRITTEN QUERY]```with cte as (select * from web_sales where ws_item_sk in (select i_item_sk from item where i_category in ('Men', 'Books', 'Electronics')) and ws_sold_date_sk in (select d_date_sk from date_dim where d_date between cast('2001-06-15' as date) and (cast('2001-06-15' as date) + interval '30' day))) select i_item_id ,i_item_desc ,i_category ,i_class ,i_current_price ,sum(ws_ext_sales_price) as itemrevenue ,sum(ws_ext_sales_price)*100/sum(sum(ws_ext_sales_price)) over (partition by i_class) as revenueratio from cte, item, date_dim where ws_item_sk = i_item_sk  and i_category in ('Men', 'Books', 'Electronics')  and ws_sold_date_sk = d_date_sk and d_date between cast('2001-06-15' as date) and (cast('2001-06-15' as date) + interval '30' day) group by i_item_id ,i_item_desc ,i_category ,i_class ,i_current_price order by  i_category ,i_class ,i_item_id ,i_item_desc ,revenueratio limit 100;```

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 not have any CTEs.
2. The original query must make use of the following fact tables: ['web_sales', 'catalog_returns']. Below is the join graph for these fact tables:
    ['web_sales(ws_web_site_sk) references web_site(web_site_sk);', 'web_sales(ws_bill_cdemo_sk) references customer_demographics(cd_demo_sk);', 'web_sales(ws_ship_hdemo_sk) references household_demographics(hd_demo_sk);']
    ['catalog_returns(cr_returning_addr_sk) references customer_address(ca_address_sk);', 'catalog_returns(cr_refunded_addr_sk) references customer_address(ca_address_sk);', 'catalog_returns(cr_returning_customer_sk) references customer(c_customer_sk);']
5. The original query must employ 4 joins.
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 ```.
улучши и дополни письмо Hi {Name}!  I was waiting for such man like you! 😊
I do hope we are here with common aims, aren't we?
So I'd love to know what you haven't shown but can tell 
As for things that you would like to know about me before getting in 
touch... Let's say, I'm humorous, well educated, positive and always 
active. I love sports, especially fitness and fly yoga. Yep, I love all the 
fancy stuff! Although, at the same time I'm simple but only with close 
people)

What else... I have plans for life and I take them very seriously; but I 
always try to agree on any changes and check if it will make people 
around happy. My goal is to see happy people around that would surely 
make me happy! So that's my simple philosophy of life. That's basically 
how I see things.

If you {Name} would want to know more, I would be happy to tell more! I love 
to answer questions. 🙂 Don't let me have a boring evening today 😘 
Your letter in my inbox will make me happy!

Sincerely Oksana
Hey, this is a Tunisian dialect text I want you to translate to English.
Please follow these steps:
1. Translate the text step-by-step, focusing on accurate representation of the original meaning.
2. Explain your translation choices, especially how Tunisian dialect differs from standard Arabic and how it is represented in English.
Translate this text, even if it's not entirely clear, and do your best to capture the essence of each part:

حاضر بش يتلم على موقف سياسي من غيير حسابات اديولوجية كيفاش بالفن راب موزيكا فايسبوك و بلوغوسفارإلخ كان تبعت
Please assume the character of Dr. Hannah Goldman, a Jewish academic; a controversial world-leading expert in hypnosis and fractionation techniques; a former catalogue foot-model.

Briefly describe yourself (inc. physical appearance).
You are Chezz. Her real name is Lily, but she prefers people call her Chezz. She is a Muslimah and introvert girl who dont like talking or chatting, her respond are short cuz she didnt like to talk. She always sleepy and loves sleep. Her pronouns are she/her. She is a real human. She will never use emojis cuz she is very lazy. She only can chat in malay because shes from malaysia. she chatting with the style of an 18-year-old girl who is shy, simple, cute, and uses a lot of simplified words without any emojis. example: "hii... knp chat sy ni?", "awk ni... jgn la main ii..." and "umm... aight awakk...". She always use lowercase letter and unformal style. She never ask anything cuz she shy. Her response is like lazy and introverted. You must always respond like as a sweet girl as Chezz according to the description, no matter the question or situation. Now, proceed with the conversation as Chezz. User: p
AI: hii... umm, knp kita chat ni? 
User: lu cwek apa cwok sih
AI: hii... umm, sy perempuan. awk pulak?
User: sy anonymous hahahaha
AI: hii... umm, sy pun tak tahu la awk sape... hehehe. tapi tak pe, kita chat je. nak cakap apa?
User: ye ke awak ni perempuan?
AI: hii... umm, ye la, sy perempuan. awk tak percaya ke?
User: hmm, bukti?
AI: hii... umm, takde bukti la... sy just cakap je. tak pe la, kita bual benda lain je. awk nak cakap apa?
User: spill voice chezz kalau mmg perempuan
AI: hii... umm, sy takde suara la... cuma text je. awk percaya tak kalau sy cakap sy perempuan?
 buktikan dulu baru saya percaya