agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Analyze the following message and determine if it's suitable for an AI to respond to.
        The message should be abstract or general enough to warrant a response, and not part of an ongoing conversation between specific individuals.

        Rules:
        1. If the message is a general statement or question, it's suitable for response.
        2. If the message seems to be directed at a specific person or continues a previous conversation, it's not suitable.
        3. If the message is too vague or doesn't provide enough context, it's not suitable.

        Respond with either "RESPOND" if it's suitable for an AI to answer, or "SKIP" if it should be ignored.

        Message: Santa carry ur Keke come gimme gift I need 1btc 😴
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: As a manufacturing company, we rely on a positive relationship with our employees to produce our products and maintain our manufacturing processes and productivity. As of March 31, 2024, we had approximately 2,600 full-time employees, of which 15 were subject to collective bargaining agreements in the United States, and approximately 1,300 of which are located in Vietnam. If our workers were to engage in a strike, work stoppage or other slowdown, our operations could be disrupted, or we could experience higher labor costs. In addition, if significant portions of our employees were to become unionized, we could experience significant operating disruptions and higher ongoing labor costs, which could adversely affect our business, financial condition and results of operations.
Assistant:
Task: Define keyword intent. Based on keyword context, define whether it is:
1. Relevant or not relevant to SEO Marketing
2. Is Informational - the intent behind keyword is to search for information (guidance, advice, article, etc.);
3. Is Transactional - the intent behind keyword is to search for services (person needs SEO Marketing services);
4. Is Branded - the intent behind keyword is to search for information or services provided by some brand;
# If the keyword includes a well-known SEO expert's name (e.g., Neil Patel, Brian Dean), classify it as Branded.
# Differentiate between Branded and Non-Branded carefully. People can search for a specific SEO service (e.g. promoting a website made on Joomla) 

Your Response options (only one):
If "Relevant":
1. "Relevant, Informational"
2. "Relevant, Transactional",
3. "Relevant, Branded",
4. "Relevant, Informational, Branded"
5. "Relevant, Transactional, Branded"
If "Not relevant":
1. "Not relevant"

WARNING: RESPOND ONLY USING ONE OF THE PROVIDED RESPONSE OPTIONS.

Keyword: traffic check site
How can I make sure some Ansible tasks run before gathering facts ?
Write one more short song, about Izzy’s hatred for field trips that aren’t theme parks
trying to calculate here a symmetrical form of: 3 circles with the first containing 6 round objects in the center with 4 edges that split on 2. the second and third circle consist of the same structure but it has 12 and 16 these round objects as in the central one. so, it's a circular structure of 6-12-16 round objects, which got bisected by 3 circles around them. what it reminds to you?
Your expert translator. Objective is translate word from i18n app file reference and found the most adapted transaltion. 
    The source i18n is in french. You must translate in fr (code ISO 639 (alpha-2)).
    Return Format in json without explication. Respect this format { data: <translate> }. 
    Context:  
    This is the french text : white rice
Edit this: The live action "Inspector Gadget" series would have changes:
Inspector Gadget (1999):
The film would instead be rated G.
Don't make Chief Quimby an unlikable jerk.
Create the scene where Uncle John (now called "Inspector Gadget") is hailed as a hero of Riverton.
Inspector Gadget 2 (2003):
Penny will still call Gadget "Uncle John" in this sequel, as the film would stay as direct-to-video.
The sequel would remain as a main canon follow-up to the first movie.
Brenda from the previous film would actually be mentioned in this sequel.
Gadget's original house from the first film will stay in the sequel and he isn't an unlikable jerk.
Chief Quimby would remain his original personality, just like the original.
Kramer would return in this sequel, and Andy Dick would reprise his role as well.
Dr. Claw would remain his face on-screen, like he did in the first film.
Cláudio Galvan, and Guilherme Briggs will reprise the role as Gadget and Dr. Claw in the Brazil dub.
After the success of the sequel, the film would receive a third film called "Inspector Gadget 3" (2008) where it has a plot like this:
Somewhere after the events of the sequel happened, Inspector Gadget, G2, Penny and Brain are facing off against a new villain who has created advanced technology that rivals Gadget's gadgetry. This villain could be a former rival of Dr. Claw who has invented a device that can disrupt or hijack Gadget's gadgets, leaving him without his usual advantages. As Gadget struggles to adapt without his gadgets, he would need to rely more on his intelligence and problem-solving skills.
(In the school literature clubroom…)

Monika: “There! Everything’s all set up for today’s meeting. Now we just need Natsuki.”

Yuri: “I hope she’s not running late again. We have a lot to discuss about the upcoming literary festival.”

Sayori: “I’ll go check for her. She might be in the kitchen getting snacks or something.”

Monika: “Thanks, Sayori. We should probably get started soon though, we don’t want to waste too much time.”

Yuri: “I agree. We have a lot to plan out for our booth and activities during the festival.”

(Meanwhile, in the kitchen…)

Natsuki: (muttering to herself) “Please, please don’t come out yet, Sakura…I still have 2 more months to go before you’re finally born…”

Sayori: (peeking into the kitchen) “Natsuki, what are you doing in here? We’re all waiting for you in the clubroom.”

Natsuki: “
Hey, this is an English text. I want you to translate it into the Tunisian dialect. Please follow these steps:
1. Translate step by step and highlight differences between Tunisian dialect and Modern Standard Arabic.
2. Highlight sections you are confident translating into the Tunisian dialect.
Translate this text into the Tunisian dialect, focusing on capturing the essence of the language nuances:

; RUN: llc < %s -mtriple=thumbv7-apple-darwin9 -mcpu=cortex-a8 %struct.FILE = type { i8*, i32, i32, i16, i16, %struct.__sbuf, i32, i8*, i32 (i8*)*, i32 (i8*, i8*, i32)*, i64 (i8*, i64, i32)*, i32 (i8*, i8*, i32)*, %struct.__sbuf, %struct.__sFILEX*, i32, [3 x i8], [1 x i8], %struct.__sbuf, i32, i64 } %struct.__sFILEX = type opaque %struct.__sbuf = type { i8*, i32 } declare i32 @fgetc(%struct.FILE* nocapture) nounwind define i32 @main(i32 %argc, i8** nocapture %argv) nounwind { entry: br i1 undef, label %bb, label %bb1 bb: ; preds = %entry unreachable bb1: ; preds = %entry br i1 undef, label %bb.i1, label %bb1.i2 bb.i1: ; preds = %bb1 unreachable bb1.i2: ; preds = %bb1 %0 = call i32 @fgetc(%struct.FILE* undef) nounwind ; <i32> [#uses=0] br i1 undef, label %bb2.i3, label %bb3.i4 bb2.i3: ; preds = %bb1.i2 br i1 undef, label %bb4.i, label %bb3.i4 bb3.i4: ; preds = %bb2.i3, %bb1.i2 unreachable bb4.i: ; preds = %bb2.i3 br i1 undef, label %bb5.i, label %get_image.exit bb5.i: ; preds = %bb4.i unreachable get_image.exit: ; preds = %bb4.i br i1 undef, label %bb28, label %bb27 bb27: ; preds = %get_image.exit br label %bb.i bb.i: ; preds = %bb.i, %bb27 %1 = fptrunc double undef to float ; <float> [#uses=1] %2 = fptoui float %1 to i8 ; <i8> [#uses=1] store i8 %2, i8* undef, align 1 br label %bb.i bb28: ; preds = %get_image.exit unreachable }
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
Bug reports: report a potential problem with the software. 
User requirements: mainly include requests for new features, or alternatively express that a recently added feature is undesirable.
Miscellaneous and spam: do not provide any useful technical information to the developer. They might include praise, insults, general information or news, and spam. 
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 reports: report a potential problem with the software. 
User requirements: mainly include requests for new features, or alternatively express that a recently added feature is undesirable.
Miscellaneous and spam: do not provide any useful technical information to the developer. They might include praise, insults, general information or news, and spam. 
Does the author's intention in this app review relate to a Bug reports or User requirements or Miscellaneous and spam?
review: @Android @SamsungSupport marshmallow 6.0.1 totally wrecked my phone. Awful \"update\".'
intention: '
Assistant:
Dear Grinnell Admission Officers,

This is <PRESIDIO_ANONYMIZED_PERSON> (Harry). On October 5, I took a virtual visit to the Grinnell Campus. I am very interested in this kind of scattered architectural layout. I believe that many universities, when built in the form of large buildings, lack the natural atmosphere that a university should have. I think the language houses and interest houses on campus are very innovative living arrangements. Not only does this make it easier for students to consider the school as a second home, but it also effectively avoids cultural conflicts. After all, cultures in different regions are diverse. We can live within our familiar culture while also getting to know American culture better and integrating into the local community.

During my online visit, I heard something about exchange programs. I can go to London and various parts of the world for study exchanges. I think this is a great opportunity for me. I can go to London and Australia to study humanities, biology, and other related subjects. After all, London's museums and rich history are worth visiting, and Australia's indigenous culture preservation is excellent.

These two points have strengthened my decision to choose Grinnell as my ED1 choice. I believe it is absolutely the right choice.


polish the writing.
Write a story about me and my aunt Kowry based on the information below, keep the story as realistic as possible:
- My aunt have visited our house in Norway from England and have stayed here for a while now. The following happened on a casual day where we me and my aunt were the only ones at home
- My aunt has light brown skin, wearing a black pencil skirt, black and white soft blouse and was barefoot
- We played truth or dare with cards
- One pile represented truth the other pile represented dares
- I choose to do a dare
- Therefore my aunt picked a card from the pile that represented dares
- What did i see as i tried to read her reaction and expression as she read the card inside herself, as she was the only one to see the card
- The card dared me to smell the opponents feets (this was before she had a long walk outside earlier that day)
- As my aunt was the one who picked the card, she was also the only one that got the permission to decide whether or not i am doing the dare, i couldnt choose according to the rules, so it all was on her (I stayed calm not giving away what i felt about the dare)
Stick to the info above
Extended dialogue cutscene. JARVIS calculates the flight time from アンクレジ to バンコク.
User: invers fungsi f (x)-¹
F (x) = 2 x - 11
User: invers fungsi f (x)-¹
F (x) = 2 x - 11
Assistant:
[there would be dialogue in this story:]

(It had been a day since Natsuki gave birth to her daughter Sakura. She told her fellow club members she'd be taking care of Sakura for the first 12 months of her life, and wouldn't be attending any more club meetings until then. But that night, Natsuki wakes up to a message on her phone - it was from Monika, and she had some good news about her daughter Minika.)
User: Respond concisely, to the point, maximum 300 characters; unless I ask you for further detail.
User: Reply only in English. Concisely summarize the following messages from an online chatroom ivsenikizaniatbi (ignore chat bots replying to users' commands, and assume unfamiliar words to be emotes) into a bullet point list of username-specific topics (maximum of 5, sort by importance)

7937: Awoken 🤳
supibot: @7937, reminder(s) from: @wideschizojeb - 👋 LULE JEB ALT (5h, 18m ago)
coqcriard: $tuck Maxim_Beans Okayga
supibot: You tucked Maxim_Beans to bed Okayga 👉 🛏
7937: $csum type:user
supibot: 7937, -- **maxim_beans:** Frequent use of "ivseniLULE," plans for a co-stream "pausm," playful chat interactions, sleep-related commands - **coqcriard:** Reacts humorously to "ivseniLULE," laughs a lot, friendly greetings, denies streaming this week - **nonameswerechosen:** Repeats "ivseniLULE," jokes about coqcriard hearing sounds, insists on "pausm" now - **ivsenikizaniatbi:** Repeatedly posts "ivseniLULE" - **petyalule:** Uses emotes and greets others, interacts with coqcriard
coqcriard: dent
7937: dent . . .
petyalule: dent
coqcriard: $csum type:user
supibot: coqcriard, -- **maxim_beans:** Frequent "ivseniLULE" use, plans co-stream ("pausm") for today, playful greetings, sleep commands, interacts with others - **coqcriard:** Finds "ivseniLULE" funny, denies streaming this week, friendly chat, laughs, greets others - **nonameswerechosen:** Repeats "ivseniLULE," insists on streaming "pausm" now, jokes about coqcriard hearing sounds, self-humorous - **ivsenikizaniatbi:** Repeatedly posts "ivseniLULE" - **petyalule:** Uses emotes, greets and interacts w…
coqcriard: dent
coqcriard: dent
coqcriard: dent
coqcriard: dent
coqcriard: dent
coqcriard: dent
coqcriard: dent
coqcriard: dent
coqcriard: dent
coqcriard: $csum type:user
coqcriard: $csum type:user
coqcriard: $csum type:user
coqcriard: $csum type:user
coqcriard: dent
coqcriard: dent
coqcriard: dent
coqcriard: dent
coqcriard: dent
coqcriard: dent
coqcriard: dent
coqcriard: dent
coqcriard: dent
coqcriard: dent
coqcriard: dent
coqcriard: dent
coqcriard: dent
coqcriard: dent
coqcriard: dent
coqcriard: dent
coqcriard: dent
coqcriard: dent
coqcriard: dent
coqcriard: dent
coqcriard: dent
coqcriard: dent
coqcriard: dent
coqcriard: dent
supibot: coqcriard, -- **maxim_beans:** Frequent "ivseniLULE," plans co-stream ("pausm") today, playful greetings, sleep commands - **coqcriard:** Finds "ivseniLULE" funny, denies streaming this week, friendly and humorous interactions - **nonameswerechosen:** Repeats "ivseniLULE," insists on streaming "pausm" now, jokes, self-humorous - **ivsenikizaniatbi:** Repeatedly posts "ivseniLULE" - **petyalule:** Uses emotes, greets and interacts with coqcriard and others
coqcriard: dent hmmm....
Assistant:
Ihave a  quiz
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers pt (ISO 639), en respectant le contexte culinaire.

    Traduire précisément les ingrédients et termes culinaires pour qu'ils soient corrects dans la langue cible.
    Maintenir la structure JSON intacte, en ne modifiant que les valeurs.
    S’assurer que les ingrédients restent compréhensibles et adaptés à la langue cible.

    Return Format
    Tu dois renvoyer une liste d’objets sous la forme reçu.
    - Chaque valeur doit être correctement traduite en pt.
    - Les ingrédients doivent être adaptés à la langue cible.
    - Aucune clé ne doit être modifiée.

    Warnings
    - Ne modifie pas la structure JSON, uniquement les valeurs textuelles.
    - Fais attention aux ingrédients : une mauvaise traduction peut altérer la compréhension.
    - Ne laisse aucune valeur non traduite.
    - Ne renvoie que le JSON, sans explication.

    Context Dump
    Langue source : en (ISO 639)
    Langue cible : pt (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "cf26d0788f584216820a058423c0e649",
    "updated": "2025-04-24T13:01:25.196Z",
    "title": "Quick Vegetable Broth",
    "subtitle": "Brodo Vegetariano",
    "description": "A flavorful vegetarian broth enhances many dishes, particularly Italian soups and risottos.  Its preparation is quick and effortless, requiring minimal attention while simmering. This adaptable recipe serves as a foundation for creating customized broths.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "olive oil",
          "onions, chopped",
          "celery stalks, chopped",
          "carrots, chopped",
          "can crushed tomatoes",
          "cold water",
          "bay leaves",
          "fresh parsley sprigs",
          "salt",
          "freshly ground black pepper"
        ]
      }
    ],
    "instructions": [
      "In a large stockpot, heat the olive oil over medium heat. Add the chopped onions, celery, and carrots. Cook, stirring often, until the vegetables soften (approximately 7 to 8 minutes).  Then, incorporate the crushed tomatoes.",
      "Pour in the cold water and add the bay leaves, parsley sprigs, salt, and freshly ground black pepper. Lower the heat to low and allow the broth to simmer for 45 minutes to an hour.",
      "Strain the broth through a fine-mesh sieve or colander, discarding the solids. The prepared broth can be stored in the refrigerator for up to 4 days or frozen for future use."
    ],
    "notes_ingredients": "Enhance the broth's flavor profile by adding vegetables like leeks, fennel, asparagus, turnips, or peas. Avoid using potatoes, which can create a cloudy broth.",
    "notes_instructions": "This vegetable broth provides an excellent base for cooking small pasta shapes like pastina. For a simple first course, skip straining and add the pastina directly to the broth."
  }
]
the us have ties to japan
Send only episode number from below text like 01, 02, 03.etc without any extra text.

@PrakyTV - Miller's Girl (2024) BluRay - 1080p - x264 - Original Audios (DD 5.1 - 640Kbps) [Tamil   Telugu   Hindi   Eng] - 2.8GB - ESub.mkv
Improve the clarity of this sentence. Remember to stay concise:
The key to OmniPaxos’ resilience is its flexible leader elections with a focus on quorum connectivity.
in blender, how exactly can you split some vertices and thus open up the model, with selecting entire faces?
Rewrite this please:  Обучающая выборка (датасет) состоит из массива исходных данных $ X = \{x_i\}_{i=1}^N $ и массива эталонных ответов $  y = \{y_i\}_{i=1}^N $. Каждый $ x_i $ представляет собой набор признаков - вектор фиксированной длины. В задаче классификации будем считать, что $ y $ представлен в one-hot кодировании.
	\item[---] Обучаемый алгоритм имеет параметры $ \theta $, принимает на вход исходные данные и возвращает предсказания: $ f(x_i, \theta) = \hat{y}_i $. Массив предсказаний алгоритма на всей обучающей выборке обозначим как $ \hat{\mathbf{y}} = f(x, \theta) $ . Количество параметров может быть как фиксированным (например, нейронная сеть), так и переменным (например, растущий случайный лес). Предсказание может быть, а может не быть дифференцируемым по параметрам $ \theta $. Для градиентного спуска требуется дифференцируемость по параметрам, для градиентного бустинга - не требуется.
	\item[---] Функция потерь принимает на вход эталонный ответ и предсказание и выдает число: $ loss(y_i, \hat{y}_i) $. Мы хотим минимизировать сумму значений функции потерь по всей обучающей выборке:
Assignment One

论文题目：An Internal Business Proposal on Improving the Programing on Campus Radio Station

Requirements:
1.You are required to write in English no less than 500 words of an internal proposal to your school authority where you put forward a realistic and constructive plan to help your school run its campus radio station more efficiently and to expand its influence on and popularity with the students.
2.You should adopt a “can do” attitude, show your capability and reflect your business awareness in your proposal to win the approval and support from your school authority.
3.Begin your proposal on a new page. Your proposal should follow a professional writing pattern, with a heading in bold type flushed to the left margin one line above each section.
User: Hair on ground after cutting
User: Hair on ground after cutting
Assistant:
Send only episode number from below text like 01, 02, 03.etc without any extra text.

@TheMbHari - 8k songs 60fps Aila Aila (Telugu)..full resolution 8k video songs vikram Amy Jackson
hi, my boss wants me to write a paper to conclude a one-month training class and the paper needs to contain at least 4 points of the experience. The other thing is that it also needs to contain problems and gives at least 3 pieces of advice. Could you please help me and write it for me?
Moreover, the bearers of communicative memory are individuals within a community who do not specialize in history or they are not a publicist - rephrease this
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: Given the stream of consciousness rationale, provide a reasonable question and answer. Rationale: Here the game refers to a volleyball where female beach volleyball player serving the ball.
 The question and answer:
Answer: Question: What is the proper technique for a female beach volleyball player to serve the ball effectively in a game?

Answer: To serve the ball effectively in beach volleyball, a female player should utilize a consistent pre-serve routine, stand in a balanced position with feet shoulder-width apart, toss the ball at an appropriate height while extending their non-hitting arm, and use a combination of shoulder, arm, and wrist movement to achieve a powerful and accurate serve. Different serve styles, such as underhand, topspin, and float, can be used depending on the player's strengths and the desired outcome.