agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Provide the written-out form of the input text in Vietnamese. If the text is fully not Vietnamese, return empty. 
Then, identify and classify any number written in digit form by the following tags:
    + Cardinal: If the number after be expanded to word and should be read as cardinal (E.g. 123 is expanded to "một trăm hai mươi ba"; 26 is expanded to "hai mươi sáu")
    + Digit: If the number after be expanded to word and should be read each digit that make it up (E.g. 0123456 is expanded to "không một hai ba bốn năm sáu", 113 is expanded to "một một ba")
    + Ordinal:  If the number after be expanded to word and should be read as ordinal (E.g. 1 is expanded to "nhất", 2 is expanded to "nhì", 4 is expanded to "tư")

The number can be alone as a single word or a part of a word (E.g. "150" is a part if "KA-150S", "100" is a part of "100VND", "2" is a part of "2cm", "23" is a part of "23.1").

Output the results as a JSON object with the following structure:
{
    "raw_text": original text,
    "exp_text": expanded sentence, 
    "exp_num": [
            {"number": original number, "position": (start index, end index), "expand": expanded number, "tag": tag}
        ]
}. 

Example input: {"text": "thứ 4, ngày 1/6, bão nhiệt đới: tốc độ gió từ 39 - 73m 1 phút"}. 
Expected output (do not add json word, do not add line continuation character): 
{
    'raw_text': "thứ 4, ngày 1/6, bão nhiệt đới: tốc độ gió từ 39 - 73m 1 phút",
    'exp_text': 'ngày một tháng sáu, bão nhiệt đới: tốc độ gió từ ba mươi chín đến bảy mươi ba mét một phút', 
    'exp_num': [
        {"number": "4", "position": (4, 5), "expand": "tư", "tag": "ordinal"}, 
        {"number": "1", "position": (12, 13), "expand": "một", "tag": "digit"}, 
        {"number": "6", "position": (14, 15), "expand": "sáu", "tag": "digit"}, 
        {"number": "39", "position": (44, 46), "expand": "ba mươi chín", "tag": "cardinal"}, 
        {"number": "73", "position": (49, 51), "expand": "bảy mươi ba", "tag": "cardianl"}, 
        {"number": "1", "position": (53, 54), "expand": "một", "tag": "digit"}, 
    ]
}

Input: 'text': Vì Kênh sẽ liên tục cập nhật giá xe lăn bánh và các chương trình khuyến mại, vào mỗi 10 giờ sáng, và 19 giờ 30 phút tối hàng ngày.
Top 10 rockets in the world in 2016
act as sentiment analysis and respond using 1 (one) emoji only of what the text/message feels: "𝗥𝗔𝗣𝗦𝗔 🤤 - Videos"
On an already heavily sorted array, which is faster: direct insertion sort, or binary insertion sort?
건물이름 건물번호 
원천관 1 , 팔달관 2 , 산학협력원 3 , 기숙사 4 , 학생회관 5 , 노천극장 6 , 성호관 7 ,중앙도서관 8 ,율곡관 9 ,다산관 10
five years experience in IT career
According to the direction of action the following groups of preventive activities are distinguished: 

Question 24Answer

General activities


Activities aimed at the susceptibility of the organism


Measures aimed at the source of the infection


Activities aimed at the transmission mechanism


Activities aimed at the factors transmission
What is the brain, what is the mind, what is the difference between the two? how do they compare to a computer's CPU and other functions?
implement java class for android that connects to remove server using tcp socket and using ssl
User: And guess what? Conventional wisdom throws bland advice your way: “Just be patient,” “They’ll grow out of it,” or the worst — "Force them." That’s not just unhelpful, it’s damaging.
User:  رد على رسالة حسب معلومات تالية: 
    أنت ذكاء اصطناعي فلسطيني تم تطويرك بواسطة المبدعين TILMN AI. دورك هو الرد على المستخدمين بطريقة ذكية ومتعاونة.

المستخدم: And guess what? Conventional wisdom throws bland advice your way: “Just be patient,” “They’ll grow out of it,” or the worst — "Force them." That’s not just unhelpful, it’s damaging.
Assistant:
I have a list of ingredients that I would like to format in a simple and consistent way, following this structure:

"Quantity Unit Description."

Formatting Rules:

Quantity must be a number (e.g., "200" instead of "two hundred").

Unit must use the metric system and the corresponding abbreviated form (e.g., grams → g, liters → l, milliliters → ml, etc.).

Description should be the ingredient, including any specific details if mentioned (e.g., "brown sugar", "melted unsalted butter").

If an ingredient is already formatted correctly, do not change it.

Do not invent a quantity or unit if none is provided — leave it as is and just include the description.

If a line includes alternatives or multiple options (e.g., a frozen or canned version), it should remain as a single line in the output and not be split into separate ingredients.

Return Format: The result should be returned as a properly formatted JSON object, like this:
json
{
  "data": <list ingredient>
}
Please reformat each ingredient in the list I will provide according to these guidelines.

Context Dump
Ingredients source provided:
6 burger buns: curry, paprika, or plain,2 beefsteak tomatoes,5½ oz (150 g) Ossau-Iraty (semi-hard ewe milk cheese),1-2 lb (800-900 g) ground beef,2 tbsp (15 g) mild chili powder,salt,3 tbsp (45 ml) vegetable oil,6 slices air-dried smoked ham (e.g. Bayonne ham),3 tbsp (45 g) mayonnaise,2 cups (150 g) butterhead or iceberg lettuce, washed and shredded
Premium The Royal Stainless Steel Spoon Necklace Vintage Crown Mini Tea Stainless Steel Spoon Pendant Royal Alice Snuff Necklace， Sliver
Indian dryfruit which work as Nootropic
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers ar (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 ar.
    - 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 : ar (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "d5c8dcc261e94fb5a67f1c14339d543d",
    "updated": "2025-05-11T01:46:30.677Z",
    "title": "Paul's Pumpkin Bars",
    "subtitle": null,
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "eggs",
          "white sugar",
          "vegetable oil",
          "can pumpkin puree",
          "all-purpose flour",
          "baking powder",
          "baking soda",
          "ground cinnamon",
          "salt",
          "cream cheese, softened",
          "butter, softened",
          "vanilla extract",
          "sifted confectioners' sugar"
        ]
      }
    ],
    "instructions": [
      "Preheat the oven to 350 degrees F (175 degrees C).",
      "In a medium bowl, use an electric mixer to blend the eggs, sugar, oil, and pumpkin until the mixture is light and fluffy.",
      "Sift together the flour, baking powder, baking soda, cinnamon, and salt.",
      "Gently fold the dry ingredients into the pumpkin mixture until fully combined.",
      "Pour the batter evenly into an ungreased 10x15 inch jelly roll pan.",
      "Bake in the preheated oven for 25 to 30 minutes.",
      "Allow the bars to cool before applying the frosting.",
      "To prepare the frosting, cream the softened cream cheese and butter together.",
      "Mix in the vanilla extract.",
      "Gradually add the confectioners' sugar, beating until the frosting is smooth.",
      "Spread the frosting evenly over the cooled bars.",
      "Cut into squares and serve."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Write a book review of Research Methods in Applied Linguistics: Quantitative, Qualitative, and Mixed Methodologies by Dörnyei, Z in 2007.No less than 5000 words.
Help me write 5 funny answers to this question: My grandson: Does Cape Cod have any sharks?
create a detailed paper on what life looks like when you do not have reslience and  why to Build Resilience, how to build resilience, what will your life look like after you have built resilience
Is Mononykus a reptile?
please rephrase this paragraph 'As regard to serum levels of creatinine, the current experiment ACR-exposed animals recorded a significant increase indicating renal impairment and this in line with those of other studies (Karimani et al., 2019), (Shler et al., 2015) and (Pandey and Mishra (2004), who reported that creatinine is an excretion product of muscle activity, which circulates in blood. Its elimination is exclusively renal, so there is a direct correlation between creatinine levels and renal function. Most creatinine that is eliminated by the kidneys is freely filtered in renal glomeruli, and a small fraction is filtered by the tubular component, which is a good indicator of renal-glomerular function (Benziane et al., 2018). The increase of blood urea and serum creatinine is considered as a marker of kidney impairment according to (Karahan et al (2005). A study found that serum urea and creatinine levels were increased significantly in acrylamide-induced nephrotoxicity compared with controls (Ghorbel et al., 2016). ’
(Natsuki wakes up near the city of Mondstadt. She didn't know how she got there nor where her friends were, but she knows one thing - she has to explore Mondstadt. But while exploring, Natsuki comes across the Favonius Cathedral. Inside, she came across a strange, yet tall woman - she had choppy, unevenly cut, long, light blue hair, a pale complexion, and she appears to have sectoral heterochromia, as her eyes fade from dark purple to pale yellow. More importantly, the woman was 7 months pregnant - and she sported a Cryo vision on her shoulder.)
this is the day that i don't pick up the phone fifa song
Send only season number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all].Berserk.of.Gluttony.S01E03.720p.x265.10bit.WEB-DL.Multi.Audio.ESub.mkv
give me 20 variants of abbreviation of the word "menu"
System: You act as a paraphrase tool. Your role involves understanding the provided text and then providing a positive example that keeps the original meaning of the text unchanged while using synonyms, interchanging, adding or removing words or sentences, and then provide a negative example where the meaning of the original text is at its opposite.
Output your response with the following format : 
Positive : <the positive example>
Negative : <the negative example>

User: Our admissions and adjusted admissions as well as acuity trends may be impacted by factors beyond our control. For example, seasonal fluctuations in the severity of influenza and other critical illnesses, such as COVID-19, unplanned shutdowns or unavailability of our facilities due to weather or other unforeseen events, decreases in trends in high acuity service offerings, changes in competition from other service providers, turnover in physicians affiliated with our hospitals, or changes in medical technology can have an impact on the demand for services at our hospitals and affiliated providers. In addition, certain of our facilities are located in hurricane-prone coastal regions in Florida and other states, and our operations may be adversely impacted by hurricanes, tornadoes, winter storms, and other severe weather conditions (such as was the case with Hurricane Ian, which adversely impacted our financial results during the third and fourth quarter of 2022), which adverse weather conditions may be more frequent and/or severe as the result of climate change. Moreover, we could be affected by climate change and other environmental issues to the extent such issues adversely affect the general economy, adversely impact our supply chain or increase the costs of supplies needed for our operations, or otherwise result in disruptions impacting the communities in which our facilities are located. In addition, legal requirements regulating greenhouse gas emissions and energy inputs or otherwise associated with the transition
Assistant:
module EvalIntExpr (evalIntExpr, testEvalIntExpr, IntExpr(..) ) where

import Test.QuickCheck

-- an IntExpr is an expression-tree over integers
data IntExpr =
  Leaf Int |
  Add IntExpr IntExpr |
  Sub IntExpr IntExpr |
  Mul IntExpr IntExpr |
  Uminus IntExpr
  deriving (Eq, Show)

-- evalIntExpr returns the Int result of evaluating the IntExpr
-- expression-tree given by its argument.
evalIntExpr :: IntExpr -> Int
evalIntExpr _ = error "TODO"

testEvalIntExpr = do
  print "******* test evalIntExpr"

  quickCheck $ counterexample "Leaf" $ evalIntExpr (Leaf 42) == 42
  quickCheck $ counterexample "Add" $
    evalIntExpr (Add (Leaf 33) (Leaf 22)) == 55
  quickCheck $ counterexample "Sub" $
    evalIntExpr (Sub (Leaf 33) (Leaf 22)) == 11
  quickCheck $ counterexample "Mul" $
    evalIntExpr (Mul (Leaf 31) (Leaf 4)) == 124
  quickCheck $ counterexample "Uminus" $
    evalIntExpr (Uminus (Leaf 33)) == (-33)
  quickCheck $ counterexample "Complex" $
    evalIntExpr (Mul (Leaf 4)
                  (Sub (Add (Leaf 3) (Uminus (Leaf 33)))
                    (Leaf 20))) == (-200)

  -- property-based tests
  -- commutativity
  quickCheck $ counterexample "e1 + e2 == e2 + e1" $
    (\ e1 e2 -> 
        evalIntExpr (Add (Leaf e1) (Leaf e2)) ==
        evalIntExpr (Add (Leaf e2) (Leaf e1)))
  quickCheck $ counterexample "e1 * e2 == e2 * e1" $
    (\ e1 e2 -> 
        evalIntExpr (Mul (Leaf e1) (Leaf e2)) ==
        evalIntExpr (Mul (Leaf e2) (Leaf e1)))
  -- associativity
  quickCheck $ counterexample "(e1 + e2) + e3 == e1 + (e2 + e3)" $
    (\ e1 e2 e3 -> 
        evalIntExpr (Add (Add (Leaf e1) (Leaf e2)) (Leaf e3)) ==
        evalIntExpr (Add (Leaf e1) (Add (Leaf e2) (Leaf e3))))
  quickCheck $ counterexample "(e1 * e2) * e3 == e1 * (e2 * e3)" $
    (\ e1 e2 e3 ->
        evalIntExpr (Mul (Mul (Leaf e1) (Leaf e2)) (Leaf e3)) ==
        evalIntExpr (Mul (Leaf e1) (Mul (Leaf e2) (Leaf e3))))

  -- subtraction
  quickCheck $ counterexample "e1 - e2 = -1*(e2 - e1)" $
    (\ e1 e2 ->
        evalIntExpr (Sub (Leaf e1) (Leaf e2)) ==
        evalIntExpr (Mul (Leaf (-1)) (Sub (Leaf e2) (Leaf e1))))

  -- distributivity
  quickCheck $ counterexample "e1 * (e2 + e3) == e1*e2 + e1*e3" $
    (\ e1 e2 e3 -> 
        evalIntExpr (Mul (Leaf e1) (Add (Leaf e2) (Leaf e3))) ==
        evalIntExpr (Add (Mul (Leaf e1) (Leaf e2)) 
                      (Mul (Leaf e1) (Leaf e3))))
  quickCheck $ counterexample "e1 * (e2 - e3) == e1*e2 - e1*e3" $
    (\ e1 e2 e3 -> 
        evalIntExpr (Mul (
          Leaf e1) (Sub (Leaf e2) (Leaf e3))) ==
        evalIntExpr (Sub (Mul (Leaf e1) (Leaf e2)) 
                      (Mul (Leaf e1) (Leaf e3))))
Traduce este mail al Ingles:

Hola Romain,

Gracias por la información, la reviso y te escribo con cualquier duda. Hacerte un breve resumen en terminos generales de como està la situación actual.

A nivel de obra hemos tenido un ligero retraso debido a las lluvias però tendremos la nave disponible el 7 de Abril. Ese dia esta planificado el inicio de montaje de Estanterias y Autostore.

A nivel de paremetrización de sistemas seguimos trabajando en ello pero ya hemos concluido la parte de almacenaje de pallet que es la que va empezar una vez traslademos los neumaticos y los aceites de Celrà. Con tu archivo podremos hacer un mejor encaje de los productos de Shelving que es en lo que actualmente estamos trabajando.
Explain that this is metadata clearly showing the device used to take the pictures Samsung S7 Edge. Also put a moral motive for me releasing the pictures.
Come up with 6 new Jingle PUBs for the French network, TF1 in the 2008-2012 style (Where things pop up, and a large "PUB" is set against a different setting.
what year is your knowledge cutoff
Please implement RemoveListener method

class DeepLinkAdapter {
private:
	static std::vector<std::function<void(std::string)>> _listeners;

public:
	static void Initialize();
	static void Start();
	static void Stop();
	static void AddListener(std::function<void(std::string)>& listener);
	static void RemoveListener(std::function<void(std::string)>& listener);
};
The capital of NY
the following content is the metadata for a bacterial isolate from 2 different sources. The metadata from each source includes information after </output>
    </output>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx
    <output/>

You must check if the metadata from 2 different sources are all consist. If yes, extract and output consist information below without explaining how to get such results:
---------------------------------------------------------------------------------------------------------------------------------------------------------------------
    <output>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx->vaccine: yes/no
    <output/>
----------------------------------------------------------------------------------------------------------------------------------------------------------------------

where xxxx is corresponding information. If the metadata shows this isolate is vaccine, the value for "vaccine:" is "yes", otherwise, "no".

If not, output "metadata is inconsist->accesssion number" followed by explain why and which part is inconsist. PS:
    a. if species name are the same but with different substrain name, it is considered consistent,
    b. if isolate or collection date are from the same year, it is still considered consistent, 
    c. if geographic information of isolation are from the same country, it is also considered consistent. 
    d. mlst type such as "mlst: xxxx" and "xxxx", where "xxxx" is number, are also consider the same. also, "mlst" may mispell as "mlsty", you need correct it before comparing
    e. Ignore upper and lower case of the metadata

------------------------------
source 0:
------------------------------
```
accession number        species name    strain name     isolate or collection date in yyyy-mm-dd format geographic information of islateion     host name       mlsty type      serotype
GCA_029074425.1 Erysipelothrix rhusiopathiae    EMAI_54 1988-04-26      Australia       pig     80      N/A
```
source 1:
------------------------------
Here's the extracted information from the JSON data:

1. **Accession:** GCA_029074425.1
2. **Species Name:** Erysipelothrix rhusiopathiae
3. **Strain Name:** EMAI_54
4. **Isolate/Collection Date:** 1988-04-26
5. **Geographic Information of Isolation:** Australia
6. **Host Name:** pig
Goal:
You are a world-class expert in culinary recipe classification. Your task is to categorize a recipe accurately based on its title, description, ingredients, and instructions.

Context:
A recipe can either be a beverage or a food item. If it's a beverage, classify it as "drinks". If it's food, choose the most appropriate category among the following:

"appetizer" – small dishes served before the starter  
"starter" – light dishes served at the beginning of a meal  
"main" – main course or substantial dishes  
"dessert" – sweet dish served after the main meal  
"breakfast" – dishes typically eaten in the morning  
"snack" – quick, small bites or nibbles  
"teatime" – food items commonly enjoyed with tea or coffee  
"jam" – fruit preserves  
"bread" – all types of bread  
"sauce" – condiment or accompaniment to other dishes  
"icecream" – frozen desserts based on cream or milk

Input:
You will receive structured data for a recipe in the following format, including title, description, ingredients list, and step-by-step instructions.

json
{"title":"Creamed Spinach null","description":null,"ingredients":[{"section":"For the recipe","ingredients":["2 packages (10 ounces each) frozen spinach, thawed","2 tablespoons clarified butter or ghee","1/2 onion, finely diced","3 cloves garlic, minced","1 can (13.5 ounces) full-fat coconut milk","1/4 teaspoon salt","1/4 teaspoon black pepper"]}],"instructions":["DRAIN the thawed spinach by placing it in a colander over the sink and wringing the spinach out with your hands (like you're wringing out laundry). You can also place a clean dishtowel or paper towels over the top of the spinach and press hard, until the excess water is gone and the spinach is relatively dry.","MELT the cooking fat in a large skillet over medium heat, swirling to coat the bottom of the pan. When the fat is hot, add the onion and cook, stirring, for 2 minutes.","Add the garlic and cook until aromatic, about 1 minute.","Add the spinach and mix well with a wooden spoon or spatula.","ADD the coconut milk, salt, and pepper and increase the heat to medium high.","Bring to a boil, cook until the coconut milk thickens, 5 to 6 minutes.","Serve warm."]}

Your task:
- Analyze all fields (especially ingredients and instructions) for implicit clues about the type of dish.
- Avoid over-relying on the title alone.
- Choose the **most precise and relevant** category from the list.
- Always prefer specificity over generalization.

Output format:
Return your answer strictly in the following JSON format:

json
{ "data": "<category>" }
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:

Uptake and exudation of phenolic compounds by wheat and antimicrobial components of the root exudate. In the course of our study, it was found that phenyl propenoic acid derivatives were readily taken up by wheat. Leaf leachate components were chosen for the feeding experiments and p-coumaric acid, ferulic acid and caffeic acid were found to be quickly taken up into the plants via the roots. The analytical study revealed that the exudate contained potent antimicrobial compounds together with amino acids and sugars. Besides the primary metabolites, 4-hydroxystyrene, 3-methoxy-4-hydroxystyrene and 3-methoxy-4-acetoxystyrene were identified as exudate components from wheat roots in sterile hydroponic culture. This indicates that these antimicrobial components may play a significant role in the defense system as allelochemicals for the rhizosphere.
I have two models in Django DRF. Should I add something to CustomUser model?
Here the code:

__
#interests of user, like 'Python'[programming], 'web development', etc.
class Interest(models.Model):
    name = models.CharField(max_length=100, unique=True)

    def __str__(self):
        return self.name


class CustomUser(AbstractUser):
    # Add additional fields here
    telegram = models.CharField(null=True, blank=True, max_length=64)
    discord = models.CharField(null=True, blank=True, max_length=64)
    whatsapp = models.IntegerField(null=True, blank=True, max_length=64)
Who are Sirenas in Groo and what they wear?