agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
what does this code do

r.event = {
        global: {},
        add: function(a, b, c, d, e) {
            var f, g, h, i, j, k, l, m, n, o, p, q = V.get(a);
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                    return "undefined" != typeof r && r.event.triggered !== b.type ? r.event.dispatch.apply(a, arguments) : void 0
                }
                ),
                b = (b || "").match(K) || [""],
                j = b.length;
                while (j--)
                    h = sa.exec(b[j]) || [],
                    n = p = h[1],
                    o = (h[2] || "").split(".").sort(),
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                        namespace: o.join(".")
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                    r.event.global[n] = !0)
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        },
When Bethesda Softworks introduced the Elder Scrolls: Arena in March 1994, While it was ambitious, It initially only sold a measly 3,000 copies, It was also criticized for being riddled with bugs and glitches, 1993's Ultima Underworld II: Labyrinth of Worlds at the time was a much more refined game in terms of bugs and glitches, But word-of-mouth did the trick with players loving it and spreading the word and it eventually became a cult classic
Write a story of a lonely and single man who after drinking a potion, begins to excitedly turn into an extremely ditzy and extremely talkative girl named Kyla with extremely gigantic assets, child bearing hips, and a behind to match. She becomes a highly successful singer and falls in love with a woman named Lola, who is exactly like her, mentally and physically and even more talkative. Kyla and Lola start dating, with their first date being at a local park, having a long conversation. Go into immense detail over what happened on the date and include the whole conversation in quotes. The two begin to joke around with eachother and tease eachother, innocently making fun of eachother in a way only couple could and after months of dating,  Kyla surpirses Lola with an apartment and they move in together into said apartment, living life as a loving couple that most people could only dream of being in.  Go into extremely immense detail when describing their time dating and what they did throughout their time together. After dating for two years, while on a romantic walk through the same park where they had their first date, Kyla gets on one knee and proposes to Lola who gleefully accepts it. Go into extreme detail on the proposal. Include a long scene of them celebrating, having fun and playfully teasing eachother in the apartment after the proposal. Include all of the times the characters were playfully teasing eachother in quotes. Include the characters talking in quotes and go into extreme detail over what the characters say.
Send only season number from below text like 01, 02, 03.etc without any extra text.

918103000000_TrueCaller_(79963).zip
Make one rebuttle on each of the 10 contentions:1. Efficiency: Private sector companies are driven by profit motives and competition, which incentivizes them to be more efficient in terms of resource allocation and project management. This can lead to cost savings and faster progress in space exploration.

2. Innovation: The competitive nature of the private sector promotes innovation and encourages companies to develop new technologies and methodologies. This can lead to breakthroughs in space exploration, such as reusable rockets or new propulsion systems.

3. Flexibility: Private companies have more flexibility in their decision-making processes compared to public institutions, which can be hindered by bureaucracy and political red tape. This agility enables them to adapt quickly to changing circumstances, experiment with new approaches, and seize emerging opportunities.

4. Risk-taking: Private sector entities are often more willing to take calculated risks in pursuit of profit. This risk-taking mentality allows them to push the boundaries of space exploration, attempt more ambitious missions, and potentially achieve groundbreaking scientific discoveries.

5. Job creation: Investing in private sector space exploration can create numerous high-skilled jobs and boost local economies. This can have positive cascading effects on various industries and contribute to a nation’s overall economic growth.

6. Commercialization: Private sector involvement can lead to the commercialization of space travel and related technologies, opening up new markets and revenue streams. This can help sustain space exploration initiatives in the long term, reducing dependence on public funding.

7. Specialization: Private companies specializing in specific areas of space exploration, such as satellite manufacturing or asteroid mining, can bring deep domain knowledge and expertise to the field. This specialization can accelerate progress in those areas beyond what a broader public institution might achieve.

8. Cost-sharing: Private sector investment can alleviate the financial burden on governments and taxpayers by sharing the costs of space exploration initiatives. This can free up public funds for other societal priorities, while still advancing space exploration goals.

9. Access to capital: Private sector companies have greater access to capital markets, venture capitalists, and other sources of funding. This allows them to tap into resources that might not be readily available to public sector entities, enabling more ambitious and long-term space exploration projects.

10. Collaboration potential: Private sector entities often collaborate with governments and public institutions, bringing together the strengths of both sectors. This combination of resources, expertise, and diverse perspectives can foster synergistic partnerships and enhance the overall effectiveness of space exploration initiatives.
I have a online exif metadata tool, write a about page text
compair momentum in "SGD with momentum" vs "Adam" with examples.
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:**  mystic flour cookie
```python
import pytrends
from pytrends.request import TrendReq
import pandas as pd
import numpy as np
from keras.models import Sequential
from keras.layers import LSTM, Dense

# 1. Сбор данных
pytrends = TrendReq(hl='en-US', tz=360)
kw_list = "example trend" # Замените на ваши ключевые слова
pytrends.build_payload(kw_list, cat=0, timeframe='today 12-m', geo='', gprop='')
data = pytrends.interest_over_time()

# 2. Обработка данных
data = data.drop(columns='isPartial') # Удаление ненужных колонок
data.fillna(method='ffill', inplace=True) # Заполнение пропусков

# 3. Моделирование
data = data.values.reshape(-1, 1)
train_data = data:-12 # Обучающая выборка
test_data = data-12: # Тестовая выборка

# Нормализация данных
from sklearn.preprocessing import MinMaxScaler
scaler = MinMaxScaler(feature_range=(0, 1))
train_data = scaler.fit_transform(train_data)

# Подготовка данных для LSTM
X_train, y_train = ,
for i in range(60, len(train_data)):
X_train.append(train_datai-60:i, 0)
y_train.append(train_datai, 0)
X_train, y_train = np.array(X_train), np.array(y_train)

# Изменение формы данных для LSTM
X_train = np.reshape(X_train, (X_train.shape[0], X_train.shape[1], 1))

# Создание модели LSTM
model = Sequential()
model.add(LSTM(units=50, return_sequences=True, input_shape=(X_train.shape[1], 1)))
model.add(LSTM(units=50))
model.add(Dense(units=1))

# Компиляция и обучение модели
model.compile(optimizer='adam', loss='mean_squared_error')
model.fit(X_train, y_train, epochs=100, batch_size=32)

# 4. Анализ и интерпретация
# Прогнозирование
predicted_data = model.predict(X_train)
predicted_data = scaler.inverse_transform(predicted_data)

# 5. Визуализация данных
import matplotlib.pyplot as plt
plt.plot(data, color='blue', label='Actual Data')
plt.plot(predicted_data, color='red', label='Predicted Data')
plt.title('Trend Prediction')
plt.xlabel('Time')
plt.ylabel('Interest')
plt.legend()
plt.show()
```
Исправь код
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Type a recognition for my manager alex for her people driven leadership style, always available in short notice to assit when we run into roadblocks and genrally poviding constructive feedback that would bring about our development
how proxmox's captive portal works ? How can it intercept https requeste ?
how can you tell if someone is simply angry at injustice and is not a bad person?
(In a deep cavern...)

Natsuki: "H-H-Hello?! Anyone there?!"

(Natsuki started to look around the cavern, but there's most likely something watching.)

Natsuki: "U-U-U-Uh...this place is giving me the creeps."

(Just then, a strange girl falls down from the ceiling. Her hair was purple, here eyes were red, and all her clothing was dark teal in color. Her hair-style looks just like Natsuki's hair-style, aside from the lack of four red eye-like spheres in Natsuki's hair.)

Female Cave Spider: "AGH! Ow! Jeez, such a rocky ceiling...even for a Cave Spider like me." (noticing Natsuki) "A human? What are you doing here?"

Natsuki: "I don't know why but...some of the people on the surface keep on calling you 'cute'."

Female Cave Spider: "Well...I just noticed that we have the same hair-style. So...I guess they call you 'cute', too?"

Natsuki: "Ugh...yeah...and no matter how many times I tell them, they just keep calling me cute!"

Female Cave Spider: "...why does it annoy you?"

Natsuki: "It annoys me because I'M NOT CUTE!"

Female Cave Spider: "Ugh...me too..."
in p5.js Please send code for a julia set that in animated to grow and shrink
How would a Ultraman Fighting Evolution game work on the Quest 2. The motion controls could be used for various attacks.
Um welches Thema geht es im folgendem Text: Um welches Thema geht es in dem folgendem Text? "Nike has generated over $185m in Web3 so far.(case study below👇)This May, Nike revealed its inaugural “OurForce 1” digital collection. This marks a new phase in its Web3 journey and a shift towards a wider consumer market.The brand continues to be the benchmark for consumer brands entering Web3.Nike’s journey is also emblematic for a bigger trend of consumer collectives and cultural branding among consumer brands:Consumer collectives become the new audience unit, acting as social constructs of belonging left vacant by traditional institutions.Now all this has been supercharged with the help of Web3 tech.For the first time, community and culture can be built on a digital, decentralized layer of trust and owned by the users. This changes how brands create culture in the digital realm.⚡️⚡️ This is why I wrote an in-depth case study on Nike's Web3 strategy and how this marks a paradigm shift for co-creating brand culture.👉 Read it here: https://lnkd.in/ecsuPbeRFuture brands will be built around the community and the cult around them, with ownership built in.#branding #Web3 #CulturalBrands #community"
Assistant: 
User: System: Imagine that you are a user who wants to utilize the features provided by various APIs in your daily life. Your task is to come up with realistic scenarios for using these APIs and express them as natural language instructions, as if you were asking a friend or assistant for help.
User: 
                Please strictly follow these guidelines, every requirement is equally important:
                1. The instructions should be 1 to 2 sentences long. Use a mix of interrogative sentences, first-person statements, imperative sentences, and other structures that convey a request. Aim for diversity in your instructions.
                2. Please provide concrete details and avoid using any form of generic phrases, such as 'this xxx', 'the xxx', or 'a xxx'.
                3. Your instructions should only involve the features provided by these APIs.
                4. Generate 10 diverse instructions.
                5. Use specific nouns and real-world examples from various domains, such as entertainment, sports, or technology.
                6. Do not mention the API's name in your instructions.
                7. Ensure diversity in language by combining questions with imperative statements and other structures that convey a request.
                8. The instructions should be in the language of the country attribute in the provided API information.
                9. The generated problem must strictly follow the API's parameter information.
                10. If country is Global, please generate 10 instructions in English.

                Here is the API information:
                {'country': 'Global', 'tool_name': 'IP Geolocation - IPWHOIS.io', 'api_list': {'name': 'JSON endpoint', 'url': 'https://ip-geolocation-ipwhois-io.p.rapidapi.com/json/', 'description': 'Provides detailed geolocation information for a specified IP address or the current IP address if none is provided.', 'method': 'GET', 'required_parameters': [], 'optional_parameters': [{'name': 'ip', 'type': 'STRING', 'description': '{ip} can be an IPv4 or IPv6 address, or left empty to use the current IP address.', 'default': ''}], 'statuscode': '200', 'schema': {}}}
                Please generate the question in the language of the specified country.
                your response:
Assistant:
Assistant:
please give two or three pieces of Strategies or Activities of Textual Enhancement.
What is organic chemistry?
Assistant: Hello! How can i help you today?
User: Your only task is to process this text that I am submitting. Please provide me text without any description. Also add all necessary punctuation marks and emojis. Here is the text:
ஆல் திஸ்மானிய லைன்
Assistant:
function handleSubmit(e) {
    // Prevent the browser from reloading the page
    e.preventDefault();
  
    // Read the form data
    const form = e.target;
    const formData = new FormData(form);

    // You can pass formData as a fetch body directly:
    fetch('http://localhost:8080/client/data', { method: form.method, body: formData });
    
    const formJson = Object.fromEntries(formData.entries());
    console.log(formJson);
    window.location.assign('/profile');

  }

как обновить эту функцию, чтобы при неуспешной отправке данных выводилось error in seding data
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers pt (ISO 639), en respectant le contexte culinaire.

    Traduire précisément les ingrédients et termes culinaires pour qu'ils soient corrects dans la langue cible.
    Maintenir la structure JSON intacte, en ne modifiant que les valeurs.
    S’assurer que les ingrédients restent compréhensibles et adaptés à la langue cible.

    Return Format
    Tu dois renvoyer une liste d’objets sous la forme reçu.
    - Chaque valeur doit être correctement traduite en pt.
    - Les ingrédients doivent être adaptés à la langue cible.
    - Aucune clé ne doit être modifiée.

    Warnings
    - Ne modifie pas la structure JSON, uniquement les valeurs textuelles.
    - Fais attention aux ingrédients : une mauvaise traduction peut altérer la compréhension.
    - Ne laisse aucune valeur non traduite.
    - Ne renvoie que le JSON, sans explication.

    Context Dump
    Langue source : en (ISO 639)
    Langue cible : pt (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "7dea81e89ecf40eb8e3a274bd26761ba",
    "updated": "2025-04-26T00:58:08.033Z",
    "title": "All-Purpose Vegetable Stock",
    "subtitle": null,
    "description": "This versatile vegetable stock offers a flavorful foundation for various vegetarian soups, stews, and other dishes. Unlike water, it provides richness and depth, especially crucial in salt-free cooking where maximizing flavor is key. The addition of thyme significantly enhances the taste profile.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "olive oil",
          "onion, sliced",
          "carrots, peeled and cut into (25.4 mm) pieces",
          "stalks celery, cut into (25.4 mm) pieces",
          "fresh thyme or dried thyme",
          "fresh sage or dried sage",
          "parsley",
          "freshly ground pepper to taste",
          "water"
        ]
      }
    ],
    "instructions": [
      "Heat a small amount of olive oil in a stockpot over medium heat. Add the sliced onion, carrots, and celery.",
      "Cook for 10 minutes, stirring occasionally.  Then, add the thyme, sage, and parsley.",
      "Cook for an additional 5 minutes. Pour in the water and bring the mixture to a boil.",
      "Reduce the heat to low and simmer for 1 1/2 hours.",
      "Remove the stockpot from the heat and let it cool completely.",
      "Strain the stock before using.",
      "For storage, divide the stock into 1- to 2-cup portions, place them in resealable plastic bags, and freeze."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Assistant: 
User: System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
Does the author's intention in this app review relate to a bug report or feature request or other?
review: Yes it was resolved I took advice so hopefully all good now'
intention: '
Assistant:
Assistant:
현재 평균 색상이 흰색에 가까운지 확인하여 필터링하는 부분을, 평균색이 아니라 컨투어 영역 꼭짓점 색상을 기준으로 필터링하게 바꿔주세요.


```
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
                # 컨투어 내부만 크롭하여 다시 이진화
                cropped_gray = gray[y:y+h, x:x+w]
                _, cropped_binary = cv2.threshold(cropped_gray, 200, 255, cv2.THRESH_BINARY_INV)

                # 내부 컨투어 찾기
                internal_contours, _ = cv2.findContours(cropped_binary, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
                
                # 내부 컨투어들을 하나의 사각형으로 합치기
                if internal_contours:
                    all_points = np.vstack(internal_contours)  # 모든 점들을 합침
                    ix, iy, iw, ih = cv2.boundingRect(all_points)
                    cv2.rectangle(contour_img, (x + ix, y + iy), (x + ix + iw, y + iy + ih), (0, 0, 255), 2)  # 빨간 박스

                filtered_contours.append((x, y, w, h, None))
    
    return filtered_contours, contour_img

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

    cv2.imshow('Highlighted Different Letter', contour_img)

    cv2.waitKey(0)  # 키 입력 대기
    cv2.destroyAllWindows()
```
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:
50g milk chocolate, melted (optional),Chocolate orange slices,Sprinkles