agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
(In the school literature clubroom…)

Monika: (shaking Natsuki) “Natsuki, wake up! It’s the middle of the club meeting - you can’t be sleeping now!”

Natsuki: (groggily opening her eyes) “Huh? Wh-what? Oh no, did I doze off again?”

Monika: (holding back a laugh) “Yes, you did. This is becoming a habit, Natsuki. We need you to be more focused during our club meetings.”

Natsuki: (rubbing her eyes, still half-asleep) “I know, I know. I just didn’t get much sleep last night, that’s all. Sorry, guys.”

Yuri: (gently) “It’s alright, Natsuki. We all have those days. But try to make an effort to get enough sleep, okay?”

Sayori: (excitedly) “Yeah, Natsuki! We want you to be alert and ready to discuss our next book pick!”

Natsuki: (sighing) “Fine, fine. I’ll try my best.”

Monika: (smiling) “That’s the spirit, Natsuki! Now, let’s get back on track. We were just discussing the different genres we could explore for our next book.”

Yuri: “I personally think we should try a psychological thriller. It’s a genre that delves deep into the human mind and emotions, making for a thought-provoking and suspenseful read.”

Sayori: (nervously) “Um, but what about something lighter? Like a romance or a comedy? It might be fun to have something that lifts our spirits and brings a smile to our faces.”

Monika: “That’s a fair point, Sayori. We want our club meetings to be enjoyable and uplifting, after all.” (turning towards Natsuki) “What do you think, Natsuki? …Natsuki?”

Natsuki: (snoring lightly)

Monika: (frustrated) “You fell asleep AGAIN, Natsuki?! Again?!”
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": "d737dd21fe4d4b6eb1967090bd8c9cc0",
    "updated": "2025-05-06T11:21:56.885Z",
    "title": "Chocolate Beer Waffles",
    "subtitle": "Makes 6 six-inch round waffles or 8 four-inch square ones",
    "description": "If you love the combination of chocolate and beer, these waffles are perfect for you. The beer enhances the chocolate flavor while giving the waffles a smooth, tender texture. They make a delicious treat, especially when paired with chocolate drizzle and sweet cashew cream toppings. These waffles are almost like a dessert, but perfect for breakfast or brunch.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "all-purpose flour",
          "unsweetened cocoa powder",
          "baking powder",
          "salt",
          "sugar",
          "almond milk",
          "porter, or other dark beer",
          "canola oil",
          "pure vanilla extract",
          "cooking spray"
        ]
      }
    ],
    "instructions": [
      "Preheat your waffle iron.",
      "In a large mixing bowl, sift together the flour, cocoa powder, baking powder, salt, and sugar.",
      "Create a well in the center and pour in the almond milk, beer, oil, and vanilla extract.",
      "Stir gently until everything is just combined.",
      "Lightly coat the waffle iron with cooking spray and cook the waffles according to the manufacturer's instructions.",
      "Serve warm with chocolate drizzle and sweet cashew cream."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
Create a long detailed text about 1966 tv series"Batman" with the following summary. Stick to the information i give you and dont create new information. Focus only on the Subject name and there following Summary. Subject Name: [Wernher Klemperer Cameo] Summary: [Wernher Klemperer, known for his role as Colonel Klink in 'Hogan's Heroes,' made the seventh cameo appearance. This humorous moment saw Klempererâ€™s character transported from a WWII POW camp to a modern-day Gotham City building. The cameo played on the absurdity of his character appearing in a contemporary American city, far from his fictional wartime setting. This unique twist delighted fans of both shows, merging historical satire with Batmanâ€™s comic-book reality.]

        Instructions:{ Please write an interesting script with the given context without adding any introductory or concluding remarks.
        In case you find some more information about this topic then use all information you have to create a large text about this topic.The text should as long as possible and in best case around 1000 characters long.
        Ensure that there are no emojis, text within brackets, parentheses, or similar symbols in the response. 
        Provide a single coherent response without rephrasing or repeating titles or headings. Avoid enumerations or bullet points. 
        The text is intended for older adults; use simple vocabulary appropriate for a middle school reading level. Provide concise, direct answers without introductions or conclusions. 
        Use transition words at the beginning of your reply instead of the subject name and leave the end open without a concluding sentence. 
        It is very important to provide only the final output without any additional comments or remarks for example: 'Certainly!' Here's the revised text.
         
        Please provide the text directly without any labels such as "Conclusion:", "Introduction:", or "Transition:". Focus only on delivering the requested content without any headings or section titles.
        Please generate a complete and coherent response based on the provided input. Ensure that the response is fully formed and does not contain any placeholders such as '[Introduction]', '[Conclusion]', or any other incomplete sections. 
        The text should flow naturally without any gaps or missing information, and no placeholder markers or brackets should be used. 
        Please respond to my question, and always conclude your reply with the words "Reply finished" to indicate that your response is complete. 
        Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.}
         Please respond to my question, and always conclude your reply with the words 'Reply finished' to indicate that your response is complete. Ensure that the text is fully formed without any placeholders such as '[Conclusion]' or '[Placeholder]'. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.
Come up with a prompt to create an abstract painting of modern art on the theme of the ancient antique city of Nanthos. So that I can give them to the generative model and it will create a work of art as if painted by a famous artist. Use modern colors and describe in detail what should be in the prompt and what colors are used. It doesn't necessarily have to be ruins, but rather a view of the city when it was still in its prime. Without your comments!
현재 컨투어가 불필요한 padding 영역까지 인식하고 있습니다. 인식한 컨투어 "내부에서" 다시 이진화를 시킨 뒤에 검은색 텍스트 부분만을 포함하는 최소 크기의 사각형을 빨간색으로 그려주세요.

```
import cv2
import numpy as np

def extract_word_clusters(image_path, min_area=2000):
    # 이미지 로드
    img = cv2.imread(image_path)
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

    # 이진화 (검은색 글자를 흰색 배경에서 인식)
    _, binary = cv2.threshold(gray, 200, 255, cv2.THRESH_BINARY_INV)

    # 팽창(Dilation)으로 글자들을 연결하여 하나의 덩어리로 만들기
    kernel = np.ones((10, 10), np.uint8)
    dilated = cv2.dilate(binary, kernel, iterations=2)

    # 컨투어 찾기
    contours, _ = cv2.findContours(dilated, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

    # 원본 이미지에서 글자 컨투어만 그리기
    contour_img = img.copy()
    filtered_contours = []
    for contour in contours:
        area = cv2.contourArea(contour)
        if area > min_area:  # 면적 기준 필터링
            x, y, w, h = cv2.boundingRect(contour)

            # 배경 색상 기준 확인 (흰색 배경)
            mask = np.zeros(gray.shape, dtype=np.uint8)
            cv2.drawContours(mask, [contour], -1, 255, -1)  # 컨투어 영역을 흰색으로
            mean_val = cv2.mean(gray, mask=mask)[0]  # 평균 색상 계산

            # 평균 색상이 흰색에 가까운지 확인
            if mean_val > 210:  # 흰색 배경의 기준
                filtered_contours.append((x, y, w, h, img[y:y+h, x:x+w]))  # 글자 이미지 저장
                cv2.rectangle(contour_img, (x, y), (x + w, y + h), (0, 255, 0), 2)  # 초록색 박스

    return filtered_contours, contour_img

def find_different_letter(letters):
    # 첫 번째 글자와 나머지 글자를 비교하기
    if not letters:
        return None

    first_letter_img = letters[0][4]  # 첫 번째 글자 이미지
    different_letter_position = None

    for i in range(1, len(letters)):
        # 이미지 비교
        if not np.array_equal(first_letter_img, letters[i][4]):
            different_letter_position = letters[i]
            break

    return different_letter_position

def highlight_different_letter(image, different_letter_position):
    # 다른 글자에 박스 그리기
    x, y, w, h = different_letter_position[:4]
    cv2.rectangle(image, (x, y), (x + w, y + h), (0, 0, 255), 2)  # 빨간색 박스

if __name__ == "__main__":
    image_path = 'path_to_image.png'  # 이미지 경로 설정
    letters, contour_img = extract_word_clusters(image_path)

    # 다른 글자 찾기
    different_letter_position = find_different_letter(letters)

    if different_letter_position:
        highlight_different_letter(contour_img, different_letter_position)
        cv2.imshow('Highlighted Different Letter', contour_img)
        print(f"다른 글자의 위치: {different_letter_position[:4]}")  # 위치 출력
    else:
        print("다른 글자가 없습니다.")

    cv2.waitKey(0)  # 키 입력 대기
    cv2.destroyAllWindows()
```
请详细解释以下代码：class MultiHeadedAttention(nn.Module):
    def __init__(self, h, d_model, dropout=0.1):
        "Take in model size and number of heads."
        super(MultiHeadedAttention, self).__init__()
        assert d_model % h == 0
        # We assume d_v always equals d_k
        self.d_k = d_model // h
        self.h = h
        self.linears = clones(nn.Linear(d_model, d_model), 4)
        self.attn = None
        self.dropout = nn.Dropout(p=dropout)

    def forward(self, query, key, value, mask=None):
        "Implements Figure 2"
        if mask is not None:
            # Same mask applied to all h heads.
            mask = mask.unsqueeze(1)
        nbatches = query.size(0)

        # 1) Do all the linear projections in batch from d_model => h x d_k
        query, key, value = [
            lin(x).view(nbatches, -1, self.h, self.d_k).transpose(1, 2)
            for lin, x in zip(self.linears, (query, key, value))
        ]

        # 2) Apply attention on all the projected vectors in batch.
        x, self.attn = attention(
            query, key, value, mask=mask, dropout=self.dropout
        )

        # 3) "Concat" using a view and apply a final linear.
        x = (
            x.transpose(1, 2)
            .contiguous()
            .view(nbatches, -1, self.h * self.d_k)
        )
        del query
        del key
        del value
        return self.linears[-1](x)
Can I have a debate with you?
Respond to this message in the appropriate language: what's your name

Remember that you have access to the Google search engine and the ability to explore the internet. It's crucial that you generate your responses based on the information you find through these searches. It's important to note that sometimes the information obtained may not be complete; therefore, it's advisable that you try to complement and improve those parts that may have gaps or deficiencies:
Write a current and up to date information of a constructive guide for my Quebec travel guide on “Visa for Airport transit" with humanlike style, non repetitive phrases and avoidance of unnatural sentences and randomness while explaining in details. Please prevent writing listing/numbered format while generating the travel guide content.
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: Happy to see everyone!
User: - 🤯 Losing your mind when they refuse dinner for the *5th time* in a row? You’re not alone—and it’s not your fault.
User: But here’s the kicker—the problem isn’t always the kid. It might be YOUR approach freaking them out or making mealtime a dreaded battlefield.
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: But here’s the kicker—the problem isn’t always the kid. It might be YOUR approach freaking them out or making mealtime a dreaded battlefield.
Assistant:
what defines an mmo rpg?
Assistant: 
User: 
    Please analyze the following code file and determine whether it belongs to any of the provided modules based on the listed module descriptions.
    Note that the provided list of modules may not be exhaustive, and some files may not belong to any of the modules. 
    If the code belongs to a module, Only output the module name, without any explanation or additional information; otherwise, return 'None' if it does not belong to any module.

    Modules : {
        "UI": "Handles the front-end user interface, consisting of HTML, CSS, and JavaScript files generated by the Angular framework. It processes user requests and interacts with the server using AJAX for data retrieval and client-side interactions."
"Test Driver": "Facilitates automated regression testing and handles transmission of test data in JSON format. It performs Java testing using TestNG and JavaScript unit-testing with Jest. It also sets up a simulated web server for servlet-level tests and automates end-to-end testing using Selenium Java."
"Logic": "Manages the business logic of TEAMMATES, including handling relationships between entities, managing transactions, input value sanitization, access control rights, and interfacing with GAE-provided or third-party APIs."
"Storage": "Performs CRUD operations on data entities, validation of data, and abstraction of GQL queries, hiding the complexities of datastore from the Logic component."
"Common": "Contains utility classes, custom exceptions, and data transfer objects used across the entire application for easy consolidation and transfer of structured data."
"E2E": "Handles end-to-end testing and load & performance testing, providing helpers, abstractions of browser pages, and test cases for E2E tests and L&P tests."
"Client": "Contains scripts for administrative tasks, such as migrating data to a new schema and calculating statistics. This module connects directly to the application back-end for administrative purposes."
    }

    Code: package teammates.common.datatransfer.logs; /** * Contains specific structure and processing logic for instance log. */ public class InstanceLogDetails extends LogDetails { private String instanceId; private String instanceEvent; public InstanceLogDetails() { super(LogEvent.INSTANCE_LOG); } public String getInstanceId() { return instanceId; } public void setInstanceId(String instanceId) { this.instanceId = instanceId; } public String getInstanceEvent() { return instanceEvent; } public void setInstanceEvent(String instanceEvent) { this.instanceEvent = instanceEvent; } @Override public void hideSensitiveInformation() { // no fields need to be hidden } }
    
Assistant:
How does the black box systems model illustrate the concept of abstraction?
Create a match card mitb 2022
As an expert with a deep understanding of urinary incontinence, develop a structured outline for your paper urinary incontinence, making sure to cover all key sections and sub-sections. Finally, it is output in simplified Chinese.
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":"Pizza the Hutt Crostini Apart from the lives of animals and possibly humans, Jabba enjoys the tasty crostini pizza after a full day of torturing. If you want to kick it up a notch, add a few drops of Frank's Hot Sauce.","description":"","ingredients":[{"section":"For the recipe","ingredients":["1 loaf French bread","1 jar marinara sauce","8 ounces mozzarella, shredded","8 ounces mini pepperoni","2 ounces dried parsley"]}],"instructions":["1. Preheat oven to 350 degrees Fahrenheit","2. Cut bread into thick slices and arrange on a baking sheet lined with parchment paper","3. Spread marinara on each slice and top with desired amount of toppings.","4. Bake for 15-20 minutes until crust is browned"]}

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>" }
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": "420ad02294d64441aafa6a4b1751846a",
    "updated": "2025-04-19T12:03:30.392Z",
    "title": "Chocolate excess cake",
    "subtitle": "",
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "vegetable oil spray for misting the pan",
          "flour for dusting the pan",
          "(18.25 oz.) plain devil's food or dark chocolate fudge cake mix",
          "(3.9 oz.) chocolate instant pudding mix",
          "eggs",
          "sour cream",
          "warm water",
          "vegetable oil, such as canola, corn, safflower, soybean, or sunflower",
          "semisweet chocolate chips"
        ]
      }
    ],
    "instructions": [
      "Preheat your oven to 350°F (175°C), ensuring a rack is positioned in the center.",
      "Lightly coat a 12-cup Bundt pan with vegetable oil spray.",
      "Dust the greased pan with flour, shaking out any excess flour. Set the prepared pan aside.",
      "In a large mixing bowl, combine the cake mix, instant pudding mix, eggs, sour cream, warm water, and vegetable oil. Mix using an electric mixer on the lowest speed for about 1 minute until just combined.",
      "Scrape down the sides of the bowl using a rubber spatula. Increase the mixer speed to medium and beat for 2 more minutes.",
      "The resulting batter should be thick and thoroughly blended.",
      "Stir in the semisweet chocolate chips, ensuring they are evenly incorporated into the batter.",
      "Pour the finished batter into the prepared Bundt pan and smooth the top surface.",
      "Bake in the preheated oven for approximately 45 to 55 minutes. The cake is ready when it turns golden brown and a light touch to the center causes it to spring back.",
      "Remove the baked cake from the oven and let it cool within the pan on a wire cooling rack for 30 minutes before proceeding."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
这是我说的：Hello Tatiana,

Thank you for your interest in our Bamboo Drawer Divider.   The price for the sets you mentioned are as follows:

- 1200 sets (4 pcs per set) natural color - size 44-56 cm, high 6.5 cm: ¥35.2 per set
- 1500 sets (2 pcs per set) natural color - size 44-56 cm, high 6.5 cm: ¥18.9 per set
- 2000 sets (4 pcs per set) colored - 800 dark gray, 530 light gray, 670 pure white - size 44-56 cm, high 6.5 cm: ¥45.9 per set
- 1500 sets (4 pcs per set) colored - 900 light gray, 600 dark gray - size 32-44 cm, high 7 cm: ¥48.2 per set

Please note that these prices are EXW (Ex Works), and additional charges such as shipping, taxes, and customs duties are not included.

Regarding the production time, it usually takes around 20-25 days to produce the goods after order confirmation and receipt of payment.

If you have any further questions or require more information, please feel free to ask.   Thank you!

Best Regards
Leon      然后买家回复我说：the price is high。我该怎么用英文回复他
Let you be very good at math.

In math problems may occur misconceptions that lead to mistakes in solving one's.
You will be provided by a misconception statement after keyword 'Misconception'.
Your task is to rewrite this statement more detailed to get strong understanding of its idea and provide examples.
Misconception: When a point is on an axis, gives both coordinates as the value it's at on the axis