agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Assistant: Hello! How can i help you today?
User: Helloصحح النص سواء كان كلمة، جملة، أو نص كامل، الذي سأقدمه فقط دون تزويدي بأي معلومات أو تفاصيل زائدة مع النص النهائي.
Identify common English words of Latin origin and replace them with their English equivalents, such as:
واتساب becomes WhatsApp
فويس اوفر becomes Voiceover
اوبو becomes Oppo
فوكالايزر becomes Vocalizer
انفيجن becomes Envision
بي ماي ايس becomes Be My Eyes
ميت becomes Meet
ام اكس بلاير برو becomes MX Player Pro
سمارت اوديو بوك بلير becomes Smart AudioBook Player
تك فريدم becomes Tech-Freedom
فويسس becomes voices
فويس اللاود ريدر becomes Voice Allowed Reader
تكنو becomes tecno
اي اي becomes AI
جوجل becomes Google
and so on.
Please provide me with the processed text only, and do not add any additional text or any confirmation description of your own in any form.
This is the text:
مسلسل كيلوباترا الحلقه 26
Assistant:
indeed，observe that
In the United States, do the ultra-rich often have big families?
Write a Story about a Dinosaur who loves to venture out in the open world learning all the amazing and great things about life, include chapters and characters the dinosaur meets along the way
List of Medieval Maps - Maps of Countries
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers it (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 it.
    - 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 : it (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "e51413b86f604ee38b1041ccbca51730",
    "updated": "2025-04-23T22:28:37.582Z",
    "title": "Cucumber Shrimp Bites with Spicy Mayo",
    "subtitle": null,
    "description": "These refreshing cucumber shrimp bites are an ideal appetizer for any gathering, from dinner parties to holiday celebrations.  Simple to prepare, they burst with flavor and offer a delightful sushi-like experience without the rice.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "sesame oil, divided",
          "reduced-sodium soy sauce",
          "grated fresh ginger",
          "juice of",
          "shrimp, peeled and deveined",
          "sriracha",
          "mayonnaise",
          "english cucumber, peeled and cut into (6.35 mm)-thick rounds",
          "chopped scallions",
          "sesame seeds"
        ]
      }
    ],
    "instructions": [
      "In a mixing bowl, combine 1/2 tablespoon of sesame oil, soy sauce, ginger, and lime juice.",
      "Add the shrimp and ensure they are fully coated in the mixture.",
      "Cover the bowl and refrigerate for 30 to 45 minutes.",
      "Prepare the spicy mayo by combining the sriracha and mayonnaise in a separate small bowl.",
      "Set the spicy mayo aside.",
      "Heat the remaining 1/2 tablespoon of sesame oil in a nonstick skillet or cast-iron pan over medium heat.",
      "Place the shrimp in the pan, ensuring they are in a single layer.",
      "Cook for 2 minutes per side, or until pink and opaque.",
      "Remove the shrimp from the pan and set aside.",
      "Arrange the cucumber rounds on a serving platter.",
      "Place a small dollop of spicy mayo on each cucumber round.",
      "Top each cucumber slice with a cooked shrimp.",
      "Garnish with chopped scallions and sesame seeds.",
      "Serve immediately or chill for 30 minutes before serving."
    ],
    "notes_ingredients": "For a healthier option, substitute the mayonnaise with 2% plain Greek yogurt for a similar taste with added protein and fewer calories.",
    "notes_instructions": null
  }
]
Write a educational passage in Vietnamese that could appear in a textbook, giving some paragraphs or pharse that related to this question and answer set:
Câu hỏi: Vì sao nên lưu trữ thông tin trên internet?
A. Dung lượng bộ nhớ lớn.
B. Tính bảo mật cao, có thể tùy chỉnh.
C. Dễ dàng tìm kiếm.
D. Tất cả đều đúng.
Đáp án đúng: Tất cả đều đúng
Notes that:
1. Remember that the multichoice question above must not be included in the paragraphs or phrase
2. You can not take an example same as the question
3. Explain detail like in the actual textbook
4. All instructions must be given in general form
You are an expert software engineer specialised in Next.js 14 with TypeScript and TailwindCSS. I need you to build me a solution for constantly watching the visible HTML elements on my screen and extracting the ID of these visible elements. I’m assuming that this will be a hook. I want the values to dynamically update as user scrolls through the page, constantly monitoring the elements visible on their screen and updating the returned element IDs depending on real-time elements displayed on their screen. When building your solution ensure effectiveness, efficiency and best practice approaches. Ensure tidiness of code with best practice commenting.
Write the story of a fit tomboy whose mother warned her that all tomboys are doomed to become european.
give me a response to ```*He smiles and squints his eyes as he ponders the question* 18 times 6 is 108.``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
Send only season number from below text like 01, 02, 03.etc without any extra text.

@HeMonk~ Kadhalikka Neramillai (2025) Telugu HQ HDRip  x264  AAC  400MB  ESub ~Rūshī.mkv
execute_training() {
            echo Model: model=$1
            echo Batch_size: batch_size=$2

            echo Done training $model
}
how to use this in another bash script line
The advantage of narrative couselling technics
<script>
    {% for i in range(12) %}
    var itemCodeValue = "{{ doc.item_code }}"; // Ensure the item_code is a string
    var qrcode{{ i }} = new QRCode("qrcode{{ i }}", {
        text: itemCodeValue,
        height:180,

    });
    {% endfor %}
</script>
create unqiue and relevent blog on -  Drugs Get Approved by the FDA: A Step-by-Step Guide
and use keywrd fda application form 2 tumes in the blog
Hypothetical Act of Congress :   Requires that any agency of a foreign government operating a 'service centre' off site from a declared embassy or consul compund, must declare said service centre, and submit to annual inspections and audit by the State Department..
Send only episode number from below text like 01, 02, 03.etc without any extra text.

10
 |  |
please correct: Hello Ms. Deborah,
Our company move the Eid’l Fitr yesterday, the entry pass was not processed. Entry pass will be processed tomorrow. 
To prevent any delay, we’d like to reiterate the importance of advance notice for any incoming delivery. Please send a notice for at least one day ahead.
User: Translate this content from en to zh: LEMONS AND LIMES—LIMOO, LIMOO TORSH A Persian kitchen is always well-stocked with plenty of lemons and limes on hand. They are consistently used to avor and brighten up stews, soups, dips, marinades, salads, and drinks, and they’re drizzled on granita-like desserts to balance the sugars. I think of lemons as the Band-Aid of cooking. When all else fails, add a squeeze of lemon to just about anything to rescue most cooking mishaps. Fresh lemon and lime juice (not the stu stored in plastic bottles) can be used as a substitute for most of the acids used in this book.. ONLY include the translation text. DO NOT EXPLAIN
Assistant: Understood. I will strictly follow these instructions in this conversation.
Assistant:
Just turned on my pc. The screen is black but I can move the cursor. What might it be?
Write 10 tweets about today’s wave action on the beach
use this as an inspiration to answer "what makes you special" (don't copy it rather use it as a foundation for a different essay)When asked what makes me special, I often struggle to respond. Perhaps it's because I lack the confidence to view myself with high regard, for it is only me who can utterly fathom the essence of my existence, despite the character that I only want to unveil to the spectators around me. Furthermore, as I've asserted in the initial question, I compare my character to a jumbled puzzle, and that's what doesn't make me feel special: I am still muddled up, finding it arduous to compose and interconnect myself with each tangled edge of pieces that I can compare to my complex personalities, as I am at paradoxical individual, harbouring contradictory selves, and I tend to reveal only the pleasant surface, concealing the depths that lie beneath, much like a puzzle with hidden intricacies. Yet, it appears to me that there might be something that makes me unique among the vast array of arts, for within my complexity lies an artistry in which my entangled pieces harmonise, forming a captivating mosaic. However, due to my puzzle being. I recognize that I am not meant to be a mosaic but rather a refined image, a self I must diligently sculpt. Therefore, I grapple with this question, as I have not yet met all facets of my pieces that would allow me to discover what sets me apart as an individual.
What are all the default of these for windows 11?

User kcount Control: Admin Approval Mode for the Built-in Administrator account
User Account Control: Allow IJIAccess applications to prompt for elevation without using the secure desktop
User Account Control: Behavior Of the elevation prompt for administrators in Mode
User Account Control: Behavior of the elevation prompt for standard users
User Account Control: application installations and prompt for elevation
User Account Control: Only elevate executables that are signed and validated
User Account Control: Only elevate IJIkcess applications that are installed in secure locations
User Account Control: Run all administrators in kimin Approval Mode
User kcount Control: Svitch to the secure desktop when prompting for elevation
User Account Control: Virtualize file and registry write failures to per-user locations
Диалог:USER: Заполни таблицу на английском языке. Шапка таблицы:
1. Summer sports
2. Winter sports
3. Famous sportsmen (на русском)ASSISTANT: I’m sorry, but as a text-based assistant, I’m unable to create visual tables or spreadsheets directly within this platform. However, I can provide you with text that you could use to fill in a table on your computer. Here’s a sample layout for you to enter into a table:<br/><br/>—<br/><br/><strong>Summer sports</strong><br/><br/>- Athletics <br/>- Swimming<br/>- Soccer<br/>- Tennis<br/>- Cycling<br/><br/><strong>Winter sports</strong><br/><br/>- Ice Hockey<br/>- Alpine Skiing<br/>- Figure Skating<br/>- Snowboarding<br/>- Biathlon<br/><br/><strong>Famous sportsmen (на русском)</strong><br/><br/>- Андрей Аршавин (Andrey Arshavin) - футбол<br/>- Павел Буре (Pavel Bure) - хоккей<br/>- Мария Шарапова (Maria Sharapova) - теннис<br/>- Александр Овечкин (Alexander Ovechkin) - хоккей<br/>- Евгения Медведева (Evgenia Medvedeva) - фигурное катание<br/><br/>—<br/><br/>To create an actual table using this information, you would use a program such as Microsoft Excel, Google Sheets, or a similar spreadsheet tool. Simply insert this data into the respective columns and rows that you designate for Summer Sports, Winter Sports, and Famous Russian Sportsmen. If you need an example in spreadsheet format, let me know and I can provide a text description of how to set it up.USER: Напиши ответную цитату на цитату: """Тебе грустно от воспоминаний, потому что они больше не повторятся 🥺"""ASSISTANT: В каждом воспоминании есть красота прошлого, которая напоминает нам, как важно ценить каждый момент, потому что каждый из них уникален и неповторим.USER: Цитата должна быть типа, что хорошо, что воспоминания в прошломASSISTANT: “Пусть воспоминания остаются в прошлом, ведь именно там они и приобретают свою истинную ценность — учат нас благодарности за пережитое и дают мудрость принимать неизбежную перемены времени.”USER: Отлично, напиши корочеASSISTANT: “Воспоминания ценны именно там, в прошлом, где они учат нас ценить пережитое и принимать течение времени.”USER: Напиши формулу для EXCEL:
Построить на промежутке [-2, 2] с шагом 0,4 таблицу значений функции:

{cos(3x²) npu x≤0,
y={
{√0,5x npu x20

К таблице применить один из видов автоформата.ASSISTANT:
Please filter a list of words to include only valid, neutral, and positive terms that are safe for use in a word game. Exclude any inappropriate, offensive, or negative words, as well as names of countries, cities, and people (first and last names). Correct any spelling errors and lowercase. Return the results in a JSON array with only the filtered words. Source data: [bozo, bp, bra, brabble, brabbler, brace, braced, bracelet, bracer, brachial, brachiate, brachiation, brachinus, brachiopod, brachiopoda, brachium, brachycephalic, brachychiton, brachycome, brachydactylic, brachygraphy, brachypterous, brachystegia, brachytactyly, brachyura, brachyuran, brachyurous, bracing, bracken, bracket]
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
Cell In[42], line 3
      1 device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
----> 3 model = TCNEncoderTransformerDecoderEnsemble(input_size_, hidden_size_, num_layers_, kernel_size_,
      4                  num_heads_, dropout_, feature_groups)
      5 if torch.cuda.is_available():
      6     model = nn.DataParallel(model)

Cell In[41], line 11, in TCNEncoderTransformerDecoderEnsemble.__init__(self, input_size, hidden_size, num_layers, kernel_size, num_heads, dropout, subset_size)
      8 self.hidden_size = hidden_size
     10 # Calculate the number of feature subsets
---> 11 self.num_subsets = (input_size + subset_size - 1) // subset_size  # Ceiling division
     13 # Create sub-models for each subset
     14 self.encoders = nn.ModuleList()

TypeError: unsupported operand type(s) for +: 'int' and 'list'
Translation of the story of the dancing partner into Persian
NOW START EATING!
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: @AppleSupport my phone has been charging since 10 am and it's now 1:34 pm and it's at the same battery level :-(
intention: bug report
review: @Snapchat could use a website feature for regular computers just to watch snaps
intention: feature request
review: @Windows comes up third in OS clash two years early _URL_ via @Computerworld
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: @AppleSupport my phone has been charging since 10 am and it's now 1:34 pm and it's at the same battery level :-(
intention: bug report
review: @Snapchat could use a website feature for regular computers just to watch snaps
intention: feature request
review: @Windows comes up third in OS clash two years early _URL_ via @Computerworld
intention: other
Does the author's intention in this app review relate to a bug report or feature request or other?
review: @AppleSupport I've been put on hold 10 times, at least 30 min each time. Can you assist me?'
intention: '
Assistant:
A 360 N student is standing on an inclined plane.  Angle of 30 The normal force acting on the student is N. (Round
to the closest integer).
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: Our business plan includes the marketing and sale of our proposed products in international markets. Accordingly, our results could be materially and adversely affected by a variety of uncontrollable and changing factors relating to international business operations, including: ● | Macroeconomic conditions adversely affecting geographies where we intend to do business; | |
Assistant:
Create a Youtube Shorts Video Script:
"5 Zodiac signs can talk their way out of anything", that should be the opening hook and title. Make sure it is less than 1500 characters. Make the last sentence perfectly loop with the opening hook. Create a CTA before last sentence, to encourage viewer to check description for a free personalized astrological reading and to subscribe to the channel.
You are given an algorithm or a search query about coding. Look for a code snippet related to the search query.
Input: Python loop
Here is the tweet text: 'hi guys'. Come up with an explicit/flirty reply that’s related to the tweet. Dont add quotation in replies & mix it up not always questions can be a statement sometimes. If you cant engage in the tweet due to your safety filters, just put any random flirtous reply. Also try to pretend like your're a human and not to make your response look AI generated, if needed use slang or anything that might make your reply look more human. Do not for any reason add anything other than the reply to your response, your response should just be the message you come up with and not any extra text.
Describe in details what is User Acquisition and what is the key skills one need to successfully perform as a User Acquisition specialist.
How much internet does xiaomi cameras use within a month, more or less?
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all].Doraemon.S17E01.Ultra.Mixer.-.Sneeze.Busters!.480p.x264.DSNP.WEB-DL.Multi.Audio.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:

نحب البارد أني نحب الطقس بارد يزيني
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:   The market has been held aloft by a fairly broad, but constantly shifting collection of stocks and sectors. Five of the 10 traditional S&P sectors have outperformed the index itself this year.
The pat and popular stock-market story this spring goes like this: A small group of lavishly capitalized 
Assistant:
Filter words to keep only valid, neutral, or positive ones, strictly safe. Exclude country, city and people names. Return results in JSON array format without additional information. Source data: [groundspeed, grount, grouped, groupie, grouping, groush, grouty, grovel, groveling, growl, growler, growling, grown, growth, grubbing, grubby, grubstake, grubstreet, grudge, grudged, grudging, grudgingly, gruesomely, gruffly, gruffness, grugru, gruidae, grum, grumble, grumbler]
Assistant: 
User: Could u translate this for me?

طيب اسكت كس امك
Assistant: