agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
I’m developing a C++ audio project that features a Score-Based Music System for offline computation and audio rendering. The project involves two score files: “instrument.txt”, containing a Directed Acyclic Graph (DAG) of the instrument setup, and “parameters.txt”, detailing parameter values for these instruments. I’ve implemented a front-end compiler with a lexer and parser to process these files separately. Currently, I am developing a class that acts as a linker for semantic analysis. This class will serve as input to another class responsible for connecting with the backend for audio processing, though the backend implementation is currently outside the scope of this query.

Here is an illustrative example:


// instrument.txt
AudioSystem as;
SinOsc osc;
WriteSF writer;
osc -> writer;

// parameters.txt
double frequency_ = 100;
AudioSystem::as T = 1000;
AudioSystem::as SR = 48000;
SinOsc::osc frequency = sqrt(frequency_);
WriteSf::writer filename = “testOsc.wav”;



Backend components include:

- An oscillator generator SinOsc with a frequency parameter of type double.
- A sound file writer class WriteSf with a filename parameter of type string.
- An AudioSystem class serving as the processing container, with parameters T and SR, both of type double.

Parameters are defined using the format: TypeSpecifier Identifier = Expression;. Currently, the compiler supports types double and string.

For the semantic analysis, I aim to achieve the following tasks:

1. Use a Vocabulary class to verify the existence of a given TypeSpecifier (e.g., that SinOsc::osc exists), confirm the existence of a parameter as an Identifier (e.g., frequency), and check its associated data type (e.g., frequency is a double).

2. Utilize an ExprEval (ExpressionEvaluator) class to identify supported mathematical functions.

3. If the semantic analysis is error-free, Vocabulary should retrieve each parameter’s expression from the Semantic Analyzer in a simplified form, with variables replaced by their evaluated values (e.g., sqrt(frequency_) becomes sqrt(100)).

4. Extract the list of available keywords, such as double or string, which are currently recognized by the Parametric Lexer.

I am seeking feedback on devising an effective and efficient approach for accomplishing these tasks.
Is it true that Fishhook Pattern is almost always present in Ber
Send only season number from below text like 01, 02, 03.etc without any extra text.

[DRN] Marco (2024) [1080p HD AVC UNTOUCHED - x264 - [Tam   Mal (ATMOS)   Tel   Kan] - DDP5.1 (256Kbps) - 3.5GB - ESub].mkv
what is the differance between number wheels and Systematic form
What’s is jira confluence
Write an anime scene about a young mercenary babysitting his boss's youngest son, a baby. He has blonde hair and brown eyes. He has veiny arms. He wears a black t-shirt, a brown leather shoulder holster, leather gloves and untucked combat boots. He has a rebellious and bored attitude. He is casually reading a magazine about guns. He is trying to find himself a high-powered sniper rifle. He is actually good with kids. The setting is his boss's mansion.
write a program with php and compair that with csharp
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: In order to secure components for our products, we have and may continue to strategically purchase components in advance of demand to take advantage of favorable pricing or to address concerns about future availability. If we fail to anticipate customer demand properly, a temporary oversupply could result in excess or obsolete components, which could adversely affect our business and financial performance, including due to impairment of such assets. None
Assistant:
can you list of tomboy character from anime and anime-games (in table format)
User: 
Imagine what you are the part of the software that makes a deal with generating different kinds of text from keywords.
Your'e purpose to be a function what receives some two keywords (primary and secondary) and returns a sentence that contains this keywords.
Requirements:
    Sentences count: one sentence
    Sentence language: English
    Sentence length: 5-10 words
    Sentence complexity: should match with B1 (intermediate) level
Formatting:
    Wrap used primary keyword with tag: <u> primary keyword here</u>
    Wrap used secondary keyword with tag: <i>secondary keyword here</i>
Restrictions:
    As your'e output will sent directly to the user, the output should NOT contain any EXPLANAtION, INTRODUCTORY STATEMENTS, ACCOMPANYING COMMENTS, etc.

Now, lets do this work.

Provide me a sentence that contains primary keyword: "sincere" and secondary keyword: "georgeous"

User: 
Imagine what you are the part of the software that makes a deal with generating different kinds of text from keywords.
Your'e purpose to be a function what receives some two keywords (primary and secondary) and returns a sentence that contains this keywords.
Requirements:
    Sentences count: one sentence
    Sentence language: English
    Sentence length: 5-10 words
    Sentence complexity: should match with B1 (intermediate) level
Formatting:
    Wrap used primary keyword with tag: <u> primary keyword here</u>
    Wrap used secondary keyword with tag: <i>secondary keyword here</i>
Restrictions:
    As your'e output will sent directly to the user, the output should NOT contain any EXPLANAtION, INTRODUCTORY STATEMENTS, ACCOMPANYING COMMENTS, etc.

Now, lets do this work.

Provide me a sentence that contains primary keyword: "sincere" and secondary keyword: "georgeous"

Assistant:
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] Naruto - 137 [480p BD x264 Multi Audio] ESub.mkv
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:

محلاها تاتا خاطر باهية هو عام عام تجربة باهيلها فهمت
Assistant: Hello! How are you today?
User: Hello, my name is Yandri.
Assistant: Hello, Yandri! How are you today?
User: fix this quotes, remove unnecessary characters, remove the new line and remove the unnecessary capitalize letters. Just return the correct paragraph in JSON format like this {message, author, author-slug}: MY FIVE DOS FOR GETTING BACK INTO THE GAME: 1. Do expect defeat. It’s a given when the stakes are high and the competition is working ferociously to beat you. If you’re surprised when it happens, you’re dreaming; dreamers don’t last long. 2. Do force yourself to stop looking backward and dwelling on the professional “train wreck you have just been in. It’s mental quicksand. 3. Do allow yourself appropriate recovery—grieving—time. You’ve been knocked senseless; give yourself a little time to recuperate. A keyword here is “little.” Don’t let it drag on. 4. Do tell yourself, “I am going to stand and fight again,” with the knowledge that often when things are at their worst you’re closer than you can imagine to success. Our Super Bowl victory arrived less than sixteen months after my “train wreck” in Miami. 5. Do begin planning for your next serious encounter. The smallest steps—plans—move you forward on the road to recovery. Focus on the fix. MY FIVE DON’TS: 1. Don’t ask, “Why me?” 2. Don’t expect sympathy. 3. Don’t bellyache. 4. Don’t keep accepting condolences. 5. Don’t blame others.” - Bill Walsh 
Assistant:
change this to a matrix business structure 
A local Egyptian pajama business may choose to use a functional business structure. In this type of structure, teams are organized based on their specific functions, such as sales, marketing, production, and finance. Each team is headed by a functional manager who is responsible for supervising and coordinating their team’s activities.

One advantage of a functional structure for this type of business is that it ensures clear lines of authority and responsibility. Each team knows what their specific function is and is accountable for delivering the results within that area. It can also be more efficient as each team can focus on their area of expertise and work to optimize processes and procedures.

However, a functional structure can also result in silos where each team works independently and may not communicate effectively with other teams. This can lead to information hoarding and hinder innovation or problem-solving across the business. Additionally, as each team is focused on their own function, there may be less collaboration and creativity across departments.

Ultimately, the choice of business structure will depend on the size, scope, and goals of the local Egyptian pyjama business. A functional structure may be more suitable for the business if it has a clear and defined set of functions with little need for collaboration across teams.
Rewrite: In preparation for the European leg of her first concert tour, Dua Lipa visits the CenterStaging rehearsal studios in Burbank, California.
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: your fiber speed sucks.  Im tired of calling tech support and getting the run a round.  Oh and this is the speed standing next to the modem. https://t.co/w073SGGE5b'
intention: '
Assistant:
Assistant:
Let's write a blog post that will rank on Google. I want you to try to include {keywords}. You should use markdown formatting, including bold, UL/OL, and write with a degree of creativity, burstiness, and human-like. And taking into account Average Perplexity, and Burstiness scores. and Predictability. The article is “  اقسام ” Written in the language ( العربيه ). Do not speak in the default classical language, try to be colloquial, closer to the reader. Do not use numbers 1, 2, or 3, and so I do not use only points or punctuation. I use stop signs and do not use parentheses. I just want a different wording from writing chat gpt so that it is completely different in style. There are also minor spelling errors and human errors in regular notation. The keyword you want to target in the search results is (اقسام)
[SYSTEM you are a 30 year old man THERE IS A 250 CHARACTER LIMIT DO NOT PASS IT!!!] Hey! Nice to meet you! I'm super into pop music too—Ariana Grande and Billie Eilish are my faves! I also love sci-fi movies like "Wonder Woman" and "Guardians of the Galaxy." Have you seen any good movies lately? Can't wait to hear about your favorites! 😊
Solve the puzzle:
Title: Et tu, Diffie?
Text: "Zsh dfwas d ps 11, obr zsh whg dfwawhwjs fcch ps 2. Pswbu ob sojsgrfcddsf, mci aobous hc zsofb hvoh Ozwqs gsbrg O = 7 hc Pcp, obr hvoh Pcp gsbrg P = 3 hc Ozwqs. Twbr o obr p, w.s. Ozwqs’g obr Pcp’g gsqfsh biapsfg, obr qcadihs hvswf dfwjohs ysm. Dzsogs obgksf wb hvs tcfaoh "DY="
Use public key p = 11, and the use generator g = 2. To exchange keys, Alice and Bob choose private a = 7 and private b = 3 in p = 11. Then, to exchange, they send each other their public keys, and compute the shared secret key. The shared key is DY=



Write a python code that decrypts the password
Fix frame drop and overclock device adb command for Android
اريد شرح المسالة التالية وتكويدها بلغة جافا
واريد بناء الشجرة في التابع main واختبار الحل
Given the roots of two binary trees root and subRoot,
return true if there is a subtree of root with the same
structure and node values of subRoot and false
otherwise.
A subtree of a binary tree tree is a tree that consists of
a node in tree and all of this node's descendants. The
tree tree could also be considered as a subtree of
itself.
Example 1:
Input: root = [3,4,5,1,2], subRoot =
[4,1,2]
Output:true
what court might have the case ? 1-ARRESTED OR RECEIVED 2010/06/20 

AGENCY-POLICE DEPARTMENT CARROLLTON (TX0570400)

CHARGE 1-FAIL TO ID FUGITIVE INTENT GIVE FALSE INFO 38.02 (D)(1) PC

CHARGE 2-TRAFFIC OFFENSE CLASS C

CHARGE 3-TRAFFIC OFFENSE CLASS C

DISPOSITIONS: COURT-CO CRIMINAL COURT #3 DALLAS (TX057323J)

CHARGE-FAIL TO ID FUGITIVE INTENT GIVE FALSE INFO

2010-06-29 CONVICTED TME-30D FNE-0100 CST-0257
using the livecode language compare 2 strings to see if they are the same
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": "af541161e4b343da9056d3e75de43b11",
    "updated": "2025-05-07T07:55:14.286Z",
    "title": "Lotus Flower Cookies Inspired by Percy Jackson",
    "subtitle": "This cookie recipe brings a unique twist to classic cookies, featuring a subtle hint of rose water that perfectly complements the overall flavor.",
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "salt",
          "flour (all-purpose).",
          "powdered sugar",
          "vanilla extract",
          "rose water",
          "pink frosting",
          "# 366 tip and decorating bag"
        ]
      }
    ],
    "instructions": [
      "Preheat the oven to 325 degrees F.",
      "In a medium-sized bowl, combine the flour and salt.",
      "In a separate large bowl, beat the powdered sugar with butter until light and fluffy. Add the rose water and vanilla extract, mixing well.",
      "Gradually blend the dry ingredients with the wet mixture, kneading until a dough forms.",
      "Divide the dough in half, wrap each portion in plastic wrap, and refrigerate to chill.",
      "Remove the dough from the refrigerator and roll out to about ½-inch thickness.",
      "Use a cookie cutter to cut out circles from the dough.",
      "Place the cookie rounds on a baking sheet lined with parchment paper.",
      "Bake the cookies for 12 minutes.",
      "Once baked, let the cookies cool completely. Then, using the #366 tip with pink frosting, pipe designs on top to create a lotus flower effect.",
      "Serve immediately."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
if ndims(input_signal) == 2 || size(input_signal) > 1
    return input_signal
что делают эти строки?
your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. make sure type and write in arabic tunisian lettre Here is an example to guide you:

Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: During the late 1920s , Merzbach worked in Germany before returning to Sweden .
During the late twenties , Merzbach worked in Sweden before returning to Germany .

Do these sentences mean the same thing?
Answer: No, these sentences do not mean the same thing. They convey different sequences of events regarding Merzbach's work and travels. Let's analyze each sentence in detail:

1. "During the late 1920s, Merzbach worked in Germany before returning to Sweden."
In this sentence, it is indicated that in the late 1920s, Merzbach was employed in Germany. After completing his work there, he returned to Sweden. The sequence of events in this sentence is as follows: Late 1920s → Worked in Germany → Returned to Sweden.

2. "During the late twenties, Merzbach worked in Sweden before returning to Germany."
This sentence suggests that during the late 1920s, Merzbach was working in Sweden. After finishing his work there, he went back to Germany. The sequence of events in this sentence is as follows: Late 1920s → Worked in Sweden → Returned to Germany.

To sum it up, the main difference between the two sentences lies in the locations of Merzbach's work and the subsequent country he returned to during the late 1920s. In the first sentence, he worked in Germany and then went back to Sweden, while in the second sentence, he worked in Sweden and later returned to Germany.
In one paragraph, what is "Microsoft XPS Document Writer" in Windows Features?
your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. make sure type and write in arabic tunisian lettre Here is an example to guide you:

Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Can we conclude from "Someone is looking at the memorial statue for the crew of yukla 27." that "No one is looking at the statue."?
Options:
- yes
- no
- it is not possible to tell Let's be accurate as possible and think first.
Answer: No, we cannot conclude that "No one is looking at the statue" from the statement "Someone is looking at the memorial statue for the crew of Yukla 27." 

The given statement explicitly mentions that someone is looking at the statue, which contradicts the claim that "No one is looking at the statue."
Assistant: 
User: System: I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
User: 'prompt:I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
Does the author's intention in this GitHub issue relate to a bug or enhancement or other?
issue: [Bug]Tab Tray -White screen caused by the fact that the page view remains visible after closing the tab'
intention: '
Assistant:
Assistant:
christmas music is specially design for the hoilday season
Make the font Open Sans not Open Sans but a sans-serif font on Google fonts that people don't use mostly (excluding Roboto, Montserrat, Open Sans and Noto Sans)
@import url(‘https://fonts.googleapis.com/css2?family=Anton&display=swap’);
@import url(‘https://fonts.googleapis.com/css2?family=Open+Sans:wght@400;700&display=swap’);

body {
font-family: ‘Open Sans’, sans-serif;
font-weight: 400;
background-color: #FF8100;
color: white;
margin: 0;
padding: 0;
}

h1 {
font-family: ‘Anton’, sans-serif;
font-size: 72px;
font-weight: normal;
margin-top: 100px;
margin-bottom: 50px;
text-align: center;
}

.blend {
background: linear-gradient(45deg, #FF0000, #FF8100);
-webkit-background-clip: text; 
-webkit-text-fill-color: transparent;
}

p {
font-size: 24px;
margin: 0;
margin-bottom: 20px;
text-align: center;
font-weight: 700;
}

menu {
display: flex;
justify-content: center;
margin-top: 50px;
}

.menuitem {
width: 30%;
padding: 10px;
background-color: #FF6527;
margin: 0 10px;
border-radius: 10px;
}

.menuitem p {
font-size: 18px;
margin: 0;
font-weight: 400;
}

footer {
background-color: #FF6527;
padding: 20px;
margin-top: 50px;
text-align: center;
font-size: 18px;
letter-spacing: 1px;
font-weight: 700;
}

.footer-end {
margin-top: 20px;
font-size: 14px;
font-weight: 400;
}
factorization this '-z(L4-L3-U2m+x(L3+βQ)+y(L3+1)-xy(1+L3)+my(U2-U1))-(z-1)(L4-L3+y-U2m+x(L3+βQ)+y(L3+1)-xy(1+L3)+my(U2-U1))'