agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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: You said I should call you zaddy
import cv2
import os
from pathlib import Path

def video_to_frames(video_path, output_folder, frame_size=(512, 512)):
    """
    Extracts frames from a video and saves them as images.

    Args:
        video_path (str): Path to the input video file.
        output_folder (str): Directory where extracted frames will be saved.
        frame_size (tuple): Desired size of output frames (width, height).
    """
    if not os.path.exists(output_folder):
        os.makedirs(output_folder)

    # Open the video file
    cap = cv2.VideoCapture(video_path)
    frame_count = 0
    success = True

    file_name = Path(video_path).stem

    while success:
        success, frame = cap.read()
        print(success)
        if success:
            # Resize the frame
            frame = cv2.resize(frame, frame_size)
            # Save the frame as an image
            frame_filename = os.path.join(output_folder, f"{file_name}_{frame_count:06d}.png")
            cv2.imwrite(frame_filename, frame)
            frame_count += 1

    cap.release()
    print(f"Extracted {frame_count} frames from {video_path} to {output_folder}")


why is returns false always on linux but on windows is ok
Hi! Could you explain the connections between Kureishi's novels and Edward Said's Orientalism?
Early Influences: Explore the background of Dub Taylor(actor), including family, upbringing, and early exposure to their craft. Discuss key influences and mentors who inspired their path.

        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.}
Q- in this data science project with this notebook 

from typing import Iterable, List
def calculate_null_percentage(column: Iterable) -> float:
    """
    Compute the percentage of null values in a dataframe column.
   
    Args:
    column (Iterable): A column from a dataframe
   
    Returns:
    float: The percentage of null values in the column
    """
    total_count = sum(1 for _ in column)
    null_count = sum(1 for value in column if pd.isna(value))
    return (null_count / total_count) * 100 if total_count > 0 else 0


# Now we have calculate_null_percentage(column) as a higher-order function
# We can use it in any dataframe column
# Leveraging the higher-order function principle
# We can use it in any dataframe column
# Type hints have been added to it
percentage_list: List[float] = df.apply(lambda x: calculate_null_percentage(x), axis=0)
percentage_list




Q- we get this result ? 

CustomerID            0.000000
Count                 0.000000
Country               0.000000
State                 0.000000
City                  0.000000
Zip Code              0.000000
Lat Long              0.000000
Latitude              0.000000
Longitude             0.000000
Gender                0.000000
Senior Citizen        0.000000
Partner               0.000000
Dependents            0.000000
Tenure Months         0.000000
Phone Service         0.000000
Multiple Lines        0.000000
Internet Service      0.000000
Online Security       0.000000
Online Backup         0.000000
Device Protection     0.000000
Tech Support          0.000000
Streaming TV          0.000000
Streaming Movies      0.000000
Contract              0.000000
Paperless Billing     0.000000
Payment Method        0.000000
Monthly Charges       0.000000
Total Charges         0.156183
Churn Label           0.000000
Churn Value           0.000000
Churn Score           0.000000
CLTV                  0.000000
Churn Reason         73.463013
dtype: float64


Q- as you can see “73%” of the Churn Reason column is null ? 

Given you expertise as senior data scientist what is the best process to deal with this feature ?
Solve the following math problem, showing all your work. Format your final answer on a newline with the prefix "Answer:".

Alisa biked 12 miles per hour for 4.5 hours. Stanley biked at 10 miles per hour for 2.5 hours. How many miles did Alisa and Stanley bike in total?
[there would be dialogue in this story - alongside a title:]

(It was just another day in the world of "Azur Lane". However, one of the Royal Navy's shipgirls - Vampire, a destroyer whose skin is very sensitive to sunlight - has always had feelings for the commander. One night, Vampire gets into her "Eloi's Blessing" outfit for the next night - as she wanted to have a nighttime wedding with the one she's had feelings toward. The commander had proposed to Vampire just a few weeks ago, and Vampire even wanted to show a "gift" for the commander in hopefully 2 more months - after all, Vampire's gift would soon enter the world; and Vampire herself was already in her 7th month. She's named her child "Luna" - another term for "Moon".)
{UPTOWN SPRINGDALE}

Natsuki: “Morning, Nate! Morning, Katie!”

Nate: “Morning, Natsuki! How are you today?”

Katie: “Good morning, Natsuki! I’m great, thanks for asking. Did you have a good weekend?”

Natsuki: “I did, thanks! How about you guys?”

Nate: “Yeah, it was pretty relaxing. Just hung out at home mostly. What about you, Katie?”

Katie: “I went hiking with some friends on Saturday, it was so nice to be out in nature. But jeez, my sweet little girls just can’t seem to settle down! They’re still squirming around in my belly like crazy.”

Natsuki: “Aww, that’s so exciting! How much longer until your due date?”

Katie: “Only a few more weeks! I can’t believe how fast time has flown by. I can’t wait to meet my little ones.”

Nate: “That’s so cool, Katie! I’m so happy for you! Have you thought about names yet?”

Katie: “Thanks, Nate! Yeah, I’ve been thinking about names but I haven’t settled on anything just yet. I want to wait until they’re born to see what feels right. It’s such a big decision!”

Natsuki: “I bet that’s going to be a tough decision, but I’m sure whatever you choose will be perfect. You’re going to be an amazing mom, Katie!”

Katie: “Aw, thank you Natsuki! I really appreciate that. You guys are so sweet. But first, I need something to satisfy my cravings. Let’s grab some breakfast before we start our day!”

Nate: “Sounds good to me! How about we head over to that new cafe that just opened up on Main Street? I heard they have some amazing pastries and coffee.”

Katie: “That sounds perfect! Let’s go check it out. I can’t wait to indulge in some delicious treats.”

Natsuki: “I’m right behind you guys! I could use a good cup of coffee to start my day off right.”

(The three friends walked together down the bustling streets of Uptown Springdale, the sun shining brightly overhead. As they entered the quaint cafe, the smell of freshly baked pastries and brewing coffee welcomed them with open arms. That’s when Natsuki spotted a
Send only season number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] Re Zero Starting Life in Another World S02 720p HD BluRay Multi Audio ESub.zip
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": "3ad64226353142eea2091e030c5eb1d1",
    "updated": "2025-04-26T00:11:35.742Z",
    "title": "Pumpkin Soup with Minced Ginger",
    "subtitle": null,
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "canola or grapeseed oil",
          "medium-sized sweet onion, sliced",
          "stalk celery, sliced",
          "bay leaves",
          "dried thyme",
          "dried oregano",
          "carrots, sliced",
          "pumpkin, cut into 1\" cubes",
          "minced fresh ginger",
          "water",
          "optional: ½ teaspoon cinnamon",
          "optional: pinch each of ground cloves, allspice, and mace",
          "optional: freshly ground black pepper, to taste"
        ]
      }
    ],
    "instructions": [
      "Heat the canola or grapeseed oil in a large saucepan. Add the sliced onion and celery, and sauté until the onion becomes translucent.",
      "Incorporate the bay leaves, thyme, oregano, carrots, cubed pumpkin, minced ginger, and water. Bring the mixture to a boil, then reduce the heat, cover the saucepan, and simmer for approximately 25 minutes, or until the vegetables are tender.",
      "Discard the bay leaves.  Purée the soup using an immersion blender. A standard blender or food processor can also be used. Serve the soup warm. Optionally, garnish with cinnamon, additional spices (cloves, allspice, and mace), and freshly ground black pepper."
    ],
    "notes_ingredients": "If a baking pumpkin is unavailable, substitute with unsweetened canned pumpkin. Two cans will yield a thicker soup, while one can will result in a thinner consistency.",
    "notes_instructions": "For enhanced flavor, consider adding a tablespoon of dry white wine or vermouth per serving during cooking. This provides a low-sodium boost and allows the alcohol to evaporate."
  }
]
tokenizer = AutoTokenizer.from_pretrained(
    model,
    use_fast=False,
    trust_remote_code=True,
    padding_side="left",
    pad_token="
"
)

explain this code
portray the perpetrator of a social engineering attack
Send only season number from below text like 01, 02, 03.etc without any extra text.

Doraemon S08E06 [RareToonsIndia].mkv
New Earth 15 April 2006
The Doctor is summoned to an apparently beautiful 'New Earth' where he and Rose find gruesome secrets inside a luxury hospital. 

Tooth and Claw 22 April 2006
Queen Victoria, a werewolf and the birth of Torchwood... The Doctor's trip to Scotland, 1879, could prove fatal... 

School Reunion 5 May 2006
The return of Sarah Jane and K-9! 

The Doctor plus companions old and new fight the bat-like Krillitanes! 

The Girl in the Fireplace 15 May 2006
The Doctor is smitten by Madame de Pompadour, but the court at Versailles is under attack from Clockwork killers...

Rise of the Cybermen 21 May 2006
On a parallel Earth where Rose's parents remained together, the Doctor sees a terrifying enemy reborn... The Cybermen are coming!

The Age of Steel 22 May 2006
The Cybermen take control of London and start converting the populace. It looks like even the Doctor is beaten...

The Idiot's Lantern 26 May 2006
A face-stealing alien is rampant in Britain at the time of Queen Elizabeth II's coronation. The Doctor and Rose investigate!

The Lazarus Experiment 3 June 2006
Rose has to save her family from the lunatic schemes of the monstrous Professor Lazarus.

Blink 23 June 2006
Only the Doctor can stop the Weeping Angels, but he's lost in time. So Sally Sparrow must fly into action...

Love and Monsters 10 July 2006
Who is the sinister and mysterious Victor Kennedy, and why is he so keen to find the Doctor?

Fear Her 12 July 2006
London, 2012. The Doctor has brought Rose to see the Olympics, but a little girl unwittingly threatens billions of lives.

Human Nature 19 July 2006
A schoolteacher called John Smith dreams of adventures in time and space...

The Family of Blood 22 July 2006
It's 1913, and war comes to England early as the terrifying Family hunt for the Doctor.

Bad Wolf 25 July 2006
The Doctor, Rose and Captain Jack fight for their lives on board the Game Station, but disaster strikes when the Daleks capture Rose!

The Parting of the Ways 28 July 2006
It's the final bow for Christopher Eccleston, as The Doctor makes the ultimate sacrifice to save Rose's life. The insane Dalek Emperor launches a full-scale attack on the Earth, and the only hope for mankind lies with a small band of people trapped on a space station.

The Runaway Bride 25 December 2006
The return of the Robot Santas! The newly regenerated Tenth Doctor finds himself with a new companion, and they uncover an ancient alien plan.

Actors:

Christopher Eccleston - The Doctor

Billie Piper - Rose Tyler. Write that at the end of Blink, a teaser showing clips from the remaining episodes was shown, including the beginning of the regeneration
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": "3a8649fdbc63433c8b71ae557557b978",
    "updated": "2025-05-17T19:39:57.673Z",
    "title": "Rose Syrup",
    "subtitle": null,
    "description": "Rosewater is a common flavoring in Arab desserts, but this concentrated syrup recipe elevates it further. You can prepare this syrup to use as a base for lemonade, drizzle it over ice cream, add flavor to whipped cream, or enjoy it as a cordial mixed with sparkling water.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "tightly packed rose petals .",
          "food-grade citric acid",
          "boiling water",
          "superfine (caster) sugar"
        ]
      }
    ],
    "instructions": [
      "Inspect your rose petals carefully for any insects or dirt. If necessary, wash them, but ideally use clean petals that do not require washing. Place the petals into a large pitcher or jug and sprinkle with citric acid.",
      "Pour the boiling water over the petals and stir well to combine all ingredients.",
      "Allow the mixture to steep for 1 to 2 hours.",
      "Place a fine colander over a large bowl and pour the rose mixture through it.",
      "Using your hands, squeeze out as much liquid as possible from the rose petals, then discard the petals.",
      "Gradually add the sugar to the liquid, stirring after each addition until fully dissolved.",
      "Transfer the syrup into sterilized glass bottles and store in the refrigerator. It will keep for up to one year."
    ],
    "notes_ingredients": "The commonly used rose variety is Rosa damascena, known for its delicate and highly fragrant pink and red petals. These roses can be identified by their strong and distinctive aroma. Always ensure that the roses you use have not been treated with pesticides or chemicals.",
    "notes_instructions": null
  }
]
Ты — эксперт по играм. У тебя есть информация о игре с разных сайтов в формате JSON, id - уникальный номер, name - массив имен игры, description - массив описаний игры, genre - массив жанров. Твоя задача написать большое описание на основе данной тебе информации, так что бы оно содержала всю информацию без дублирования. ```{"_id":"1","name":["princesses live telecast"],"description":["recently live telecast is so hot that these disney princesses want to try this. but they are shy and they really worry about this live telecast, so they call minion to help. firstly, make over for elsa and rapunzel. then dress up for these princesses in fashion style and dress minion to make him handsome. finally give your gifts to them. enjoy!"],"genre":[]}```
is honey magical
Two questions: How many hours can you fast without electrolytes or medical supervision in Vietnam, if you are taking a little supplemental himalayan salt? How many hours can you fast without electrolytes or medical supervision in Vietnam without any salt supplementation?
User: 
---
           
return answer between these tag <answer> write answer here</answer>
**Prompt**:
You have a deep understanding of the language of financial markets and its regulations. Please analyze the stakeholder comments in response to the US Security and Exchange Commission’s proposed rules regulating financial market participants. Examine the approval scores of the proposed rule (score ranging from -1 to 1, where -1 is strong disapproval and 1 is strong approval). Do you agree with the 2) output the number of positive terms indicating approval, neutral terms and negative terms indicating disapproval. 3) number of suggestions provided in the comment
Output in this format: Approval Score, # Positive Terms, # Neutral Terms, # Negative Terms, #Suggestions.
**Example Output**:
{
    "approvalScore": 0,
    "positiveTermsCount": 0,
    "neutralTermsCount": 0,
    "negativeTermsCount": 0,
    "suggestionsCount": 0,
}

Assistant: Understood. I will strictly follow these instructions in this conversation.
User: 
You are required to think through the problem carefully before answer and present your thinking in response.
Your thinking should not stop until you are confident.

First, break the task into parts and evaluate step by step whether your predicted answer is correct.

On each step, evaluate your thinking also.

The problem is as follows:

You have a deep understanding of the language of financial markets and its regulations. Please analyze the stakeholder comments in response to the US Security and Exchange Commission’s proposed rules regulating financial market participants. Examine the approval scores of the proposed rule (score ranging from -1 to 1, where -1 is strong disapproval and 1 is strong approval). Do you agree with the 2) output the number of positive terms indicating approval, neutral terms, and negative terms indicating disapproval. 3) number of suggestions provided in the comment. Output in json form Approval Score, # Positive Terms, # Neutral Terms, # Negative Terms, #Suggestions.

The comment is below:


 
 
 C o m m e n t s   o f   A .   N i e t o   o n   S 7 - 0 8 - 2 0 
 
 
 
 
 
 S u b j e c t :   F i l e   N o .   S 7 - 0 8 - 2 0 
 F r o m :   A l e x   N i e t o 
 
 J u l y   3 1 ,   2 0 2 0 
 T h i s   r u l e / l a w   w i l l   a c t u a l l y   d e c r e a s e   t h e   t y r a n s p a r e n e c y   w e   h a v e   n o w .   P l e a s e   d o   n o t   e n a c t . 
 
 


Please provide your final answer at the end,in answer tag:

<answer> write answer here</answer>

Assistant:
Build a simple cc checker to check cards!
list all of the logic gates
Solve for x: 3x^2 + 4x - 5 = 0
script about Institution	Location	Undergraduates	Postgraduates	Endowment	Academic staff	Nickname	Colors
Brown University	Providence, Rhode Island	7,349	3,347	$6.5 billion[22]	736[23]	Bears	     
Columbia University	New York, New York	8,148[b]	21,987	$13.3 billion[22]	4,370[26]	Lions	   
Cornell University	Ithaca, New York	15,503	10,097	$9.8 billion[22]	2,908	Big Red	   
Dartmouth College	Hanover, New Hampshire	4,556	2,205	$8.1 billion[22]	943	Big Green	   
Harvard University	Cambridge, Massachusetts[c]	7,153	14,495	$50.9 billion[22]	4,671[27]	Crimson	     
University of Pennsylvania	Philadelphia, Pennsylvania	9,962	13,469	$20.7 billion[22]	4,464[28]	Quakers	   
Princeton University	Princeton, New Jersey	5,321	3,157	$35.8 billion[22]	1,172	Tigers	   
Yale University	New Haven, Connecticut	6,536	8,031	$42.3 billion[22]	4,140	Bulldogs