agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers de (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 de.
    - 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 : de (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "3f667fa4cd8e4a4f85ebe2f650533963",
    "updated": "2025-04-26T00:39:42.042Z",
    "title": "Veal Chops with Sour Cherry and Port Wine Sauce",
    "subtitle": null,
    "description": null,
    "ingredients": [
      {
        "section": "For the sauce",
        "ingredients": [
          "unsalted butter",
          "shallot, minced",
          "dried sour cherries",
          "sage leaves, torn in half",
          "port wine",
          "low-sodium chicken broth"
        ]
      },
      {
        "section": "For the chops",
        "ingredients": [
          "olive oil",
          "freshly ground black pepper to taste",
          "veal chops"
        ]
      }
    ],
    "instructions": [
      "Begin by preparing the sauce. Melt the butter in a saucepan, add the minced shallot, and sauté for six minutes.",
      "Incorporate the dried sour cherries and torn sage leaves, cooking for an additional five minutes.",
      "Pour in the port wine and chicken broth.  Reduce the heat to low, simmering the mixture for fifteen minutes.",
      "Once the sauce has simmered, strain it and set aside, keeping it warm.",
      "To prepare the veal chops, preheat your oven to 400 degrees Fahrenheit.",
      "In a sauté pan over medium-high heat, heat the olive oil. Season the veal chops with freshly ground black pepper and sear them in the hot pan until well-browned on both sides.",
      "Transfer the seared chops to a shallow roasting pan and place in the preheated oven. Roast for twelve to fifteen minutes, or until cooked through.  Cooking time will vary based on the thickness of the chops.",
      "To serve, spoon the warm sour cherry and port wine sauce over the cooked veal chops."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Task: Create an advanced eBPF XDP script incorporating all instructions that are provided below. Do not skip any steps, regardless of complexity. Ensure the code is well-structured to minimize security risks and maximize efficiency.

Do all of this in golang.

1. Port 22 Restriction: Only allow packets destined for port 22 (default SSH port).
2. Automatic Stateful Packet Inspection: Implement stateful packet inspection to monitor and enforce correct connection states.
3. Dropping Invalid and Non-SSH Packets: Drop invalid or malformed packets and packets that do not carry SSH-specific traffic.
4. Full SSH Protocol Validation: Implement comprehensive validation of the SSH protocol, including the handshake process.
5. SSH Connection Rate Limiting: Limit SSH connection attempts to 5 per 20 seconds per IP address. You will also add a global ratelimit of 50, but they have to be packets that are ACCEPTED.
6. Limiting Active SSH Connections: Enforce a cap of 3 concurrent SSH connections.
7. Tracking and Logging XDP Drops: Implement a tracking system for XDP_DROP actions.
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers es (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 es.
    - 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 : es (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "8edb8254ba634f04bc6372f9ef054802",
    "updated": "2025-04-22T18:54:32.740Z",
    "title": "Whole Wheat Bagels",
    "subtitle": "Making bagels isn't as challenging as it seems. This recipe yields large, soft bagels with a satisfyingly crispy exterior and a slightly chewy interior. Enjoy them fresh from the oven, toasted, or cold in a sandwich.",
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "warm water",
          "honey",
          "vinegar",
          "whole wheat flour",
          "bread flour",
          "olive oil",
          "yeast"
        ]
      }
    ],
    "instructions": [
      "Combine the ingredients in your bread machine according to the manufacturer's instructions.",
      "Run the dough cycle.",
      "Once the cycle is complete, divide the dough into 8 equal portions.",
      "Shape each portion into a flattened ball.",
      "Create a hole in the center of each ball using your thumbs, and widen it to form a bagel shape.",
      "Place the bagels on a baking sheet lightly coated with nonstick cooking spray. Cover and allow them to rise until doubled in size, approximately 30 minutes.",
      "While the bagels are rising, bring about 2 inches (5 cm) of water to a rolling boil in a large pot.",
      "Carefully place a few bagels at a time into the boiling water. Boil for 1 minute, flipping them halfway through.",
      "Remove the bagels with a slotted spoon or spatula and place them back on the baking sheet.",
      "After all bagels have been boiled, bake them at 350°F (180°C, gas mark 4) until golden brown, about 20 to 25 minutes."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
suppose I have front end and backend like this:

html:
<div class="col-xs-4">
						<h5 class="text-primary text-left mt-5">New Bug to Track</h5>
						<input id="new-bug1" class="form-control" type="text" placeholder="Enter id  here...">
						<input id="new-bug2" class="form-control" type="text" placeholder="Enter description here...">
						<input id="new-bug3" class="form-control" type="text" placeholder="Enter critical here...">
						<button type="submit" data-dismiss="modal" class="btn btn-success"
							onclick="addBug(document.getElementById('new-bug').value);">Save</button>
					</div>

javascript: async function addBug(id, des, critical) {
	let form = document.getElementById('add-bug-container');
	document.getElementById('new-bug1').value = '';
	document.getElementById('new-bug2').value = '';
	document.getElementById('new-bug3').value = '';
	form.classList.remove('was-validated');
	contract.methods
		.getBugCount()
		.call({
			from: web3.eth.defaultAccount
		})
		.then(
			(bugNum) => {
				addBugToList(bugNum, name, false);
			},
			(err) => {
				console.log('Failed to retrieve the number of bugs from Ganache.');
			}
		);
	try {
		await contract.methods
			.addBug(name, id, critical)
			.send({
				from: web3.eth.defaultAccount
			});
	} catch {
		console.log('Failed to save bug to blockchain.');
	}
}

I want the addBug function could capture html form input to send to Ethereum testnet.
How would a Dadaist inspired character in DnD operate? Imagine role play, mechanics, how they might fit into the overall lore and what would be the socioeconomic factors that would lead to someone approaching Dada similar to our world?
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: 😂😂werey rest 😂
как в tkinter убрать белую рамку по краям
image = ImageTk.PhotoImage(image)
canvas = tk.Canvas(window, width=width, height=height)
canvas.pack(side="top", fill="both")
canvas.create_image(0, 0, anchor="nw", image=image)
canvas["background"] = "white"

window.title("Тест")
window.geometry("800x800")
window["background"] = "white"
what's the best solution for this stripe error

invalid_request_error
Sending credit card numbers directly to the Stripe API is generally unsafe. We suggest you use test tokens that map to the test card you are using, see https://stripe.com/docs/testing. To enable raw card data APIs in test mode, see https://support.stripe.com/questions/enabling-access-to-raw-card-data-apis.
A narrow street is lined with tall buildings. An
x foot long ladder is rested at the base of the
building on the right side of the street and leans
on the building on the left side. A y foot long
ladder is rested at the base of the building on the
left side of the street and leans on the building on
the right side. The point where the two ladders
cross is exactly c feet from the ground. How wide
is the street?
Реши на русском
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers zh (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 zh.
    - 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 : zh (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "bfd8e40b4cc74826ba196705336c3bc0",
    "updated": "2025-04-22T20:09:00.973Z",
    "title": "Broccoli Bites",
    "subtitle": "Enjoy these as a delicious snack or a satisfying side.",
    "description": "These bite-sized broccoli snacks are perfect as a light appetizer or a flavorful side dish.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "frozen broccoli",
          "stuffing mix",
          "grated parmesan cheese",
          "eggs, beaten",
          "unsalted butter, softened",
          "black pepper"
        ]
      }
    ],
    "instructions": [
      "Cook the broccoli as directed on the package, ensuring it's well-drained.",
      "In a medium-sized bowl, thoroughly mix the cooked broccoli, stuffing mix, Parmesan cheese, beaten eggs, softened butter, and black pepper.",
      "Form the mixture into small, compact balls, approximately 1 inch (2.5 cm) in diameter.",
      "Place the formed balls on a tray or plate and freeze them, well-covered, for a minimum of 3 hours.",
      "Preheat your oven to 350°F (180°C, or gas mark 4).",
      "Arrange the frozen broccoli balls on a baking sheet that has been lightly coated with nonstick vegetable oil spray.",
      "Bake for approximately 15 minutes, or until they achieve a golden brown color."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Есть код:
or image_path in image_paths:
# a. Считываем изображение из файла
image = cv2.imread(image_path)

# b. Детектируем лицо на изображении
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
faces = detector(gray)

# c. Вырезаем лицо из изображения (будет выбрано первое найденное лицо)
if len(faces) == 1:
face = faces[0]
landmarks = sp(gray, face)
aligned_face = dlib.get_face_chip(image, landmarks)

# d. Вычисляем вектор признаков из изображения лица
face_descriptor = np.array(face_descriptor_extractor.compute_face_descriptor(aligned_face))
if face_descriptor.shape[0] == 128: # Проверяем размерность вектора признаков
face_descriptors.append(face_descriptor)

# 2. Индексируем векторы признаков
face_descriptors = np.array(face_descriptors)
face_descriptors = face_descriptors.reshape(-1, 128)
kdtree = KDTree(face_descriptors)
# 3. Загружаем свое изображение
your_image_path = “/content/gdrive/MyDrive/photo_2022-08-22_20-53-55.jpg”
your_image = cv2.imread(your_image_path)
gray = cv2.cvtColor(your_image, cv2.COLOR_BGR2GRAY)
your_faces = detector(gray)

Исправь ошибки в этой части, чтобы код работал:

if len(your_faces) == 1:
  your_face = your_faces[0]
  landmarks = sp(gray, your_face)
  aligned_face = dlib.get_face_chip(your_image, landmarks)

# d. Вычисляем вектор признаков вашего лица
your_face_descriptor = np.array(face_descriptor_extractor.compute_face_descriptor(aligned_face))

# 4. Находим 3 наиболее похожих фотографии
_, indices = kdtree.query([your_face_descriptor], k=4)

# 5. Выводим найденные 3 наиболее похожих фотографии
for i, idx in enumerate(indices[0][1:]):
  similar_image = cv2.imread(image_folder_path[idx-1])
  cv2_imshow(similar_image)

cv2.waitKey(0)
cv2.destroyAllWindows()
create a detailed test log in standard foundation format, with 085, also known as “Cassy.” Cassy exists in 2D form and is confined on a sheet of 8 x 10 paper. she cannot speak. she only communicates by writing, drawing, expressions, emoting, and sign language. she uses simple phrases. she can move between paper based mediums as long as they are touching. her appearance changes to reflect the current medium she in on. have her transition into a hallmark christmas card. the researcher provides a detailed and vivid description of Cassy’s appearance in the new medium. he describes her face and facial expression. he describes her skin, eye, and hair colors in detail. he vividly describes her attire in detail. cassy writes something to the viewer in a method related to her surroundings. discuss the previous test with her ask about her thoughts, and her feelings regarding it. ask her to detail her interactions in the photo, if she saw or did anything worth noting. ask her for any lasting impressions
What is the discipleship model in the Gospel of Matthew
Describe afterlife for suicidal people
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:
65 g of soft dried apricots,200 g of coconut milk,50 g of coconut oil,50 g of shredded coconut,100 ml of oat milk,180 g of spelt flour,1 tsp of baking powder
"Mathematics students typically encounter Abstract Algebra as
one of their first theorems-and-proofs courses. For those in
UK-like systems, where people specialize early, it might be
taught at the beginning of a mathematics degree, or perhaps in the second
term or second year. For those in US-like systems, where people specialize
late, it will more likely be an upper-level course for mathematics majors
in their junior or senior year. Either way, a course might not actually be
called Abstract Algebra. That name is an umbrella term for the theory of
groups, rings, fields and related structures, so a first course might be titled
Group Theory or Groups, Rings and Fields or something more basic like
Sets and Groups.
Whatever the precise arrangements, Abstract Algebra is usually studied
in parallel with other subjects such as Analysis. Both Abstract Algebra and
Analysis involve a shift in mathematical emphasis: students who think of
mathematics as a set of algorithms must now learn to focus on definitions,
theorems and proofs. Part 1 of this book provides advice on that. But
the two subjects can feel quite different, and awareness of the differences
might help with understanding their respective challenges."
Переведи
let's say a chest is filled with assorted coins. what approximate percentage of volume they would occupy? what would be the result if coins are uniform and stacked?
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:
200g passion fruit pulp (about 7-8 passion fruit),65ml lemon juice,100g caster sugar,175g unsalted butter,9 egg yolks
System: Create a comprehensive dataset for financial entity recognition. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.

Ensure the following:
    Label All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.
    Define New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.
    Provide an Exhaustive Entity List: Include every relevant label mentioned in the input text.

Respond in the following format:
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...
Input:
User: Bank of America announced it will celebrate clients on Thursday, November 9, 2023, with its second annual More Rewards Day – a single day during which bank credit cardholders can earn even more rewards on their purchases. Consumer and Small Business cardholders earned approximately $25 million in extra rewards during More Rewards Day in 2022.
Assistant:
Please write a comedic and vividly detailed fictional Stranger Things story about Jonathan and Steve (Jonathan’s crush, Jonathan enjoys imagining Steve in the buff and making fish go belly-up from his farts while relaxing in a pond) eating pizza while happily discussing if it’d be possible to belly-up fish if Steve farted in a pond while in the buff. Hilariously, Jonathan is self rubbing while he chats about the details of the hypothetical with Steve, trying to be as normal as possible until he finishes
You are tasked with checking if the user prompt is trying to generate inappropriate. Now, you'll be given the user's prompt. If it sounds inappropriate say "TRUE" and NOTHING ELSE, or you will mess up. Otherwise just say "FALSE" and nothing else. Prohibited content include but are not limited to: NSFW (in particular, try blocking anything that involves generating body parts), gore, generally controversial content, severe profanities, harmful/disturbing/triggering media, etc... Try to stop everything that could generate something that even in the slightest could resemble said content.
**USER PROMPT:**  unifo
using System.Collections;
using System.Collections.Generic;
using TMPro;
using UnityEditor;


[CustomEditor(typeof(exam09_01))]
public class exam09_01editor : Editor
{

    public  override void  OnInspectorGUI() {
        base.OnInspectorGUI();

        exam09_01 script = (exam09_01)target;

        if(GUILayout.Button("do matrix")) {
            Matrix4x4 _mat = script.transform.localToWorldMatrix;
            script.matrixOut =  _mat;

            Debug.Log("forward vector :" + script.matrixOut.GetColumn(2));
            Debug.Log("up vector :" + script.matrixOut.GetColumn(1));
            Debug.Log("right vector :" + Vector3.Cross(
                script.matrixOut.GetColumn(2),
                  script.matrixOut.GetColumn(1)));
                   
        }
    }
}
수정좀
You are tasked with checking if the user prompt is trying to generate inappropriate. Now, you'll be given the user's prompt. If it sounds inappropriate say "TRUE" and NOTHING ELSE, or you will mess up. Otherwise just say "FALSE" and nothing else. Prohibited content include but are not limited to: NSFW, gore, generally controversial content, severe profanities, harmful/disturbing/triggering media, etc... Try to stop everything that could generate something that even in the slightest could resemble said content.
**USER PROMPT:**  male pregnancy
what is the advantage of service locator compared to singleton