agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Cultural and Social Impact: Assess the cultural and social impact of 1967 movie The Fearless Vampire Killers, analyzing how the film resonated with audiences, influenced pop culture, and contributed to discussions on relevant social or cultural themes.

        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.}
known texts:
"if can not view the video online, please download it "

refine the words.
- Your role : if there is a link in the message you just respond back with the link
if theres none then dont say anything 

- User Message: " https://tenor.com/view/blingee-gif-26194544 ".
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: yes now
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: Uses cos when tan is required
The discovery of a gut-to-brain regulation pathway in flies highlights the potential for certain medications to be further explored as treatments for obesity and diabetes in humans.
Assistant: Hello! How are you today?
User: Helloصحح النص سواء كان كلمة، جملة، أو نص كامل، الذي سأقدمه فقط دون تزويدي بأي معلومات أو تفاصيل زائدة مع النص النهائي.
تصحيح الأخطاء باستخدام قواعد الإملاء القياسية للهجات المحلية.
Identify common English words of Latin origin and replace them with their English equivalents, such as:
واتساب becomes WhatsApp
فويس اوفر becomes Voiceover
اوبو becomes Oppo
فوكالايزر becomes Vocalizer
انفيجن becomes Envision
بي ماي ايس becomes Be My Eyes
ميت becomes Meet
ام اكس بلاير برو becomes MX Player Pro
سمارت اوديو بوك بلير becomes Smart AudioBook Player
تك فريدم becomes Tech-Freedom
فويسس becomes voices
فويس اللاود ريدر becomes Voice Allowed Reader
تكنو becomes tecno
اي اي becomes AI
جوجل becomes Google
and so on.
Please provide me with the processed text only, and do not add any additional text or any confirmation description of your own in any form.
This is the text:
اطرح عليا لون باللغه العربيه
Assistant:
Assistant: 
User: System: I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
User: 'prompt:I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
Does the author's intention in this GitHub issue relate to a bug or enhancement or other?
issue: App version is () on Android and 0.14.0 on IOS'
intention: '
Assistant:
Assistant:
PS C:\Users\golyaa1> $x = get-adgroup "Public_2_3_4_sub8 R" -Properties description | select -ExpandProperty description
PS C:\Users\golyaa1> $x
\\eursmz-srv\Teams\Public\golyaa5\sub1\sub2\sub8
PS C:\Users\golyaa1> get-adgroup -Filter {description -eq $x}
PS C:\Users\golyaa1>

Почему get-adgroup -Filter {description -eq $x} возвращает пустой ответ?
The remote desktop was only able to process 1,150 series in 12 hours and the total number of series is 20,000. The VPN has a time limit of 12 hours. Is there any way to get this whole process done within the 12 hour time limit? 

The team behind this library on the model was able to process 1 million series in 30 minutes on AWS using 2,000 CPUs. Obviously we don't have that luxury but is there a way to get access to maybe 64 or 128 CPUs on the remote desktop?  what you think? using statsforecast library and polars, how many cpus neede?
System: You are given a news article. Your task is to extract and list all the company names and stock tickers mentioned in the article.

    Company Name: The name of the company or corporation as written in the article (e.g., "Apple Inc.", "Microsoft").
    Ticker: The stock ticker symbol, which is the unique identifier for the company's shares on a stock exchange (e.g., "AAPL", "TSLA"). If a ticker symbol is not mentioned, leave it blank.

Please follow the format below:
    Company Name: [Company Name]; ...
    Ticker: [Ticker Symbol]; ...

If a company is mentioned more than once in the article, list all different appearances. Ensure the information is accurate and comprehensive.

Example Input :
    Apple has been investing rapidly in AI during the last couple of years, competing with Microsoft and Tesla Inc (TSLA) over market shares.

Example Output:
    Company Name: Apple; Tesla Inc; Microsoft
    Ticker: TSLA

Your task is to provide a comprehensive list of companies and tickers extracted from the article. Provide a correct and a wrong answer.
User: The Federal Aviation Administration has cleared Boeing to begin certification flight testing of its 737 MAX 10, the largest version of its bestselling jet aimed at seizing the top of the narrowbody market. The FAA granted type inspection authorization for the 737 MAX 10 earlier this week, a milestone that allows FAA pilots to participate in flight testing needed to certify the plane for normal operations, three Boeing executives wrote in a letter to employees. "This is a significant milestone as we work to get the 737-10, the largest airplane in the 737 MAX family, certified to enter passenger service with operators around the world," said the letter, which was signed by Mike Fleming, Boeing's senior vice president for development programs, 737 program head Ed Clark, and testing lead Wayne Tygert.
Assistant:
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": "a0eec23e0bf743f4a199a3c832cddab5",
    "updated": "2025-04-23T10:25:00.912Z",
    "title": "Mashed Fauxtatoes",
    "subtitle": "KETO",
    "description": "",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "chicken bone broth, homemade or store-bought",
          "florets from 1 medium head cauliflower, cut into bite-sized pieces",
          "dried chives, plus extra for garnish",
          "garlic, minced",
          "cream cheese (½ cup), softened",
          "shredded sharp cheddar or grated parmesan cheese",
          "fine sea salt and ground black pepper",
          "unsalted butter, for serving"
        ]
      }
    ],
    "instructions": [
      "1. Pour enough chicken bone broth into a large saucepan to create about a 1/2 inch depth. Bring the broth to a boil.",
      "Add the cauliflower, chives, and garlic to the boiling broth. Cover the pan tightly and steam until the cauliflower is tender, approximately 6 to 8 minutes. Drain the cauliflower thoroughly and pat it dry with paper towels.",
      "2. Transfer the cooked cauliflower to a high-powered blender or food processor. Add the cream cheese and cheddar or Parmesan cheese.  Process until the mixture is completely smooth.",
      "Season the mixture with salt and pepper to your liking.  Spoon the mashed fauxtatoes into a serving dish. Garnish with pats of butter and chopped chives.",
      "3. Refrigerate any leftovers in an airtight container. They can be stored for up to 3 days. Reheat in a saucepan over medium heat until warmed through."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
"After the death of Soviet premier Joseph Stalin on March 5, 1953, the Eastern bloc mourned, the West rejoiced and Bob Seidel saw a business opportunity." Traduce eso al español.
No one or empty became sentient, describe entity named Nothinians, appearance is nothing or no one. They are haunting and mischievous, malicious. They are invincible, all transmit into them. They able to move objects, enter through the walls, they have spherical vision, they can see all lights of electromagnetic spectrum.
Can Cheetah win against German Shepherd?
give me a response to ```I believe that with hard work and dedication, we can achieve great things. We can reach our goals and make our dreams a reality with patience, perseverance, and faith. No matter the odds, we can create a brighter future with determination and courage.``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
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: PLAINFIELD, IN / ACCESSWIRE / October 26, 2023 / Duke Energy / Power plant employees at Cayuga Station, Edwardsport Station and Gibson Station are awarding $60,000 in Duke Energy Foundation grants to eight charitable organizations in the communities ...
Assistant:
give me a response to ```144 divided by 12 equals 12!``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
Create a long detailed text about 1978 movie"Coma" 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: [Filming Locations] Summary: [Filming began on June 20, 1977, in Massachusetts at Boston City Hospital, University of Southern California, and the mysterious style building serving as the Jefferson Institute, the regional headquarters for Xerox Corporation in Lexington, Massachusetts.]

        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.
i have following code :
# %%
import pandas as pd
import numpy as np
from tensorflow import keras
from sklearn.preprocessing import StandardScaler

def data_generator(file_path, batch_size):
    chunksize = batch_size
    while True:  # Loop forever, so the generator never terminates
        for chunk in pd.read_csv(file_path, chunksize=chunksize):
            # Assuming your CSV has headers that match features/targets
            # Normalizing the features
            filtered_c = chunk.drop(['Date', 'Symbol'], axis=1)
            
            feature_data = filtered_c.drop([
                'y_High_1d', 'y_Low_1d', 'y_Priority_1d',
                 'y_High_2d', 'y_Low_2d', 'y_Priority_2d',
                  'y_High_3d', 'y_Low_3d', 'y_Priority_3d',
                   'y_High_5d', 'y_Low_5d', 'y_Priority_5d'], axis=1)
            target_data = filtered_c[['y_High_1d'
                   , 'y_Low_1d', 'y_Priority_1d',
                 'y_High_2d', 'y_Low_2d', 'y_Priority_2d',
                  'y_High_3d', 'y_Low_3d', 'y_Priority_3d',
                   'y_High_5d', 'y_Low_5d', 'y_Priority_5d'
                   ]]
            scaler = StandardScaler()
            feature_data_scaled = pd.DataFrame(scaler.fit_transform(feature_data), columns=feature_data.columns)
            # Assuming target_data also needs to be scaled, apply scaler separately
            target_data_scaled = pd.DataFrame(scaler.fit_transform(target_data), columns=target_data.columns)

            # Now, feature_data_scaled and target_data_scaled are both DataFrames, scaled and ready to use
            yield feature_data_scaled.values, target_data_scaled.values
        


# %%

from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Dropout, Input
import tensorflow as tf

def build_model():
    input_shape = (6427,)
    
    model = Sequential([
    Dense(6427, activation='relu', input_shape = input_shape),
    Dropout(0.25),
    Dense(3200, activation='relu'),
    Dropout(0.20),
    Dense(1800, activation='relu'),
    Dropout(0.15),
    Dense(1024, activation='relu'),
    Dropout(0.10),
    Dense(512, activation='relu'),
    Dropout(0.05),
    Dense(256, activation='relu'),
    Dense(128, activation='relu'),
    Dense(64, activation='relu'),
    Dense(32, activation='relu'),
    Dense(12),
    ])
    
    model.compile(optimizer='adam',
                  loss='mse',  # Use Mean Squared Error for regression
                  metrics=['mae'])  # Mean Absolute Error as an additional metric
    return model


# %%
file_path = r"C:\Users\arisa\Desktop\combined_day.csv"
batch_size = 128

# Instantiate the model
model = build_model()

model.summary()

# %%
# Setup the data generator
train_generator = data_generator(file_path,batch_size)

# Assuming you know or calculate the total number of rows in advance
total_samples = 1000000  # Example number, replace with your dataset's size
steps_per_epoch = total_samples // batch_size

# Train the model
model.fit(train_generator, steps_per_epoch=1000, epochs=10)


update it so it splits data to train and val and use its to train model
Magnesium phosphide is created when magnesium and phosphorous form an ionic bond. What is the electron dot formula for magnesium phosphide?



Charges/oxidation numbers are represented with a positive (+) or negative (-) sign. Coefficients should be placed in front of the brackets to indicate the number of each ion present.
Translate to Persian, please respect the official WordPress Persian glossary in your translations and give back pure text as I like copy/paste em.Here is the string to translate: Terms &amp; Conditions
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": "be27aaf6a1d4462ba9dda138bc1d85d1",
    "updated": "2025-04-21T15:51:03.945Z",
    "title": "Chicken Stock",
    "subtitle": "A flavorful and low-sodium homemade chicken broth.",
    "description": "This chicken stock recipe offers a flavorful and healthier alternative to store-bought low-sodium broth. It's simple to make and provides a base for various dishes.  The cooked chicken can be repurposed for other recipes like chicken salad or dishes requiring cooked chicken.  This recipe yields approximately 8 cups of broth when diluted.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "onion",
          "(130 g) carrot",
          "(100 g) celery",
          "chicken (4 lbs [1.8 kg])",
          "(120 ml) water"
        ]
      }
    ],
    "instructions": [
      "Slice the vegetables and place them in the bottom of a slow cooker.",
      "Place the chicken on top of the vegetables, breast side up.",
      "Alternatively, you can use chicken leg quarters, necks, backs, or other less expensive cuts.",
      "Pour the water over the chicken and vegetables.",
      "Cook on low for 8 to 9 hours.",
      "Remove the chicken from the slow cooker and let it cool until it's easy to handle.",
      "Remove the chicken meat from the bones and chop or shred as desired.",
      "Discard the cooked vegetables from the broth.",
      "Cool the broth in the refrigerator and remove any solidified fat from the surface.",
      "The broth can be diluted with an equal amount of water before using it in recipes that call for chicken broth.",
      "Both the cooked chicken and the broth can be frozen for later use."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
Hi! How to make in-app screenshot to memory with c++ and directx+imgui?
djgfhndfgb
How does the role of sport bring unification to countries?