agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Send only resolution from below text like 1080p, 720p.etc without any extra text,
        
[Toonworld4all] Dragon Ball Super Season 4 Ep.62-7.rar
can i diy backseat air conditioner
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: Xion is the light that guides our way!
Как изменить шаг, чтобы я мог менять вермя, но дата оставалась та, которая на устройстве
@When("Изменили время на устройстве на |any|")
def step(context, timeType):
    time = '`date +%m%d%H%M%Y.%S`' if timeType == 'верное' else '`date -u +%m%d%H%M%Y.%S`'
    osOperarion.setDateTime(time)
Код для изменения времени вышлядит следующим образом
def setDateTime(dateTime):
    result = str(subprocess.run(f'adb shell date {dateTime}', capture_output=True, shell=True))
    test.log(result)
In a democratic political system, what do you call a politician who is actively being prepped by their political party for running for the country's highest office?
please can i have a design for a team workshop regarding how to think out of the box
Name 32 popular characters that would have an interesting dinamic in an interview with Hugo Strange from Arkham City. Characters like Jigsaw, Hannibal Lecter, Light Yagami etc
Generate 5 friendly replies that sound warm and approachable. Only list your suggestions without any other words. actually... i have a crush on u...
解读：import os
import pdb
# import csv
import numpy as np
import cv2
import torch
import pandas as pd
from tqdm import tqdm
import scipy.io
from spconv.pytorch.utils import PointToVoxel
from dv import AedatFile
import numpy as np
import cv2 as cv

if __name__ == '__main__':
    device = torch.device("cuda:4")
    # data_path = r"/home/ioe/xxxxx/EventTracking/COESOT/train"
    video_files = os.listdir(data_path)
    dvs_img_interval = 1

    for videoID in range(len(video_files)):
        foldName = video_files[videoID]
        print("==>> foldName: ", foldName)
        aps_path = os.path.join(data_path, foldName, foldName + '_aps')
        dvs_path = os.path.join(data_path, foldName, foldName + '_dvs')
        stack_path = os.path.join(data_path, foldName, foldName + '_stack/')
        # for i in tqdm(range(len(aps_path))):
        frame_list = [frame for frame in os.listdir(aps_path)]
        frame_list.sort(key=lambda f: int(f[-8:-4]))
        frame_list_event = [frame for frame in os.listdir(dvs_path)]
        frame_list_event.sort(key=lambda f: int(f[-8:-4]))
        for frame, frame_event in zip(frame_list, frame_list_event):
            image = cv.imread(os.path.join(aps_path, frame))
            event_image = cv.imread(os.path.join(dvs_path, frame_event))
            stack_image = cv.addWeighted(image, 1, event_image, 0.2, 0)
            cv.imwrite(stack_path+frame, stack_image)
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGIANL text. Respond strictly with either 'True' or 'False'.
==TEXT==

User: 
  ORIGINAL: 🟨 Business Analyst | Middle
▫️ null | null
▫️ 155k - 180k RUB
▫️ Russia | Pермь

Офис 🏢
Требуемые языки: 🇷🇺

Skills: programming_basics, scrum, agile
Tags: #yellow #it #business_analyst

👉 Контакты и полное описание
  PROMPT: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.

Ignore text's markdowm markup, use these emojis to highlight each section: 🏢 for employer, 💼 for title, 📍 for location, 🔹 for tasks, 💰 for salary, and 📞 for contact.

Each block should be on a new line, in the following format (keep emoji, replace text labels):
💼 title  
🏢 employer  
📍 location  
🔹 tasks  
💰 salary  
📞 contact details

Make sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.

==TEXT==

  SUMMARY: 💼 Business Analyst
🏢 null
📍 Perm, Russia
🔹 Analyzing business processes and requirements, working with scrum and agile methodologies.
💰 155k - 180k RUB
📞 Контакты и полное описание

  
Assistant:
Create a long detailed text about actor Peter O'Toole 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: [Acting Ambition & Stage Debut] Summary: [Peter's true passion was acting, leading him to enroll at the Royal Academy of Dramatic Art from 1952 to 1954, where he honed his skills and developed his craft. Peter's career began on stage with the Bristol Old Vic Theatre, where his portrayal of Hamlet established him as a rising star.]

        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.
Entered the world of Freedom planet with the Rts System
I would like to discuss standard 5 of the seven standards of excellence from mission ellecence
give me a response to ```Absolutely. Together, we can create a brighter and greener future for all. By investing in renewable energy sources, taking collective action, and remaining steadfast in our shared commitment, we can reduce emissions and create cost-effective solutions that protect our planet and its resources for future generations. Let’s stay focused and determined to make a positive difference and create a brighter and more sustainable future for all. Let’s continue working towards a brighter future for all.``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
Story Prompt. Genre: Speculative Fiction, Alternate History: It is the 1520s. European powers of the time discuss Ferdinand Magellan’s original findings to the Holy Roman Emperor, Charles V. His return to Spain with barely any of his men left after circumnavigating the world wasn’t as important as his discovery. These group of islands (not just referring to the Philippines, but the Malay archipelago as a whole) had been a center of ancient cultures around the world for millennia, where trade, settlement, resources and advancements had been made. According to Magellan, he claimed that the ancient peoples of Egypt, Persia, Greece, Carthage, and Rome had come and settled on these islands thousands of years ago, creating a peaceful coexistence with its indigenous peoples and combining their cultures, military prowess and advancements. There were even surviving cultures of so-called “Northmen, much like the Danes” who retained their still unknown at the time cultures (referring to the Vikings) and a culture of the Anglo-Saxons (referring to the settlers from the old Kingdom of Wessex). While some indigenous peoples on these islands were darker skinned, Magellan noted of settler populations who clearly came from the African continent, (referring to the still unknown at the time Kingdom of Aksum and the recent immigrants from both the relatively-unknown-to-the-Europeans Mali and Songhai Empires) people from the far eastern sides of the world, like the remnants of Mongols and settlers from Cipangu (referring to settlers from the Yuan Dynasty and Feudal Japan) and even “Indians” as noted by earlier voyagers and conquerers like Columbus and Hernan Cortes (referring to the Aztec, Maya and Inca settlers) This revelation, if true, posed both potential and concern. A rich hub of history and culture, to understand more about forgotten histories and resources all for Europe to have to strengthen themselves, but whether or not to engage in diplomacy or conquest was another issue. Christianization was discussed, as there was likely a chance that the previous settlers had brought many religions, including Christianity. These islands were also now on the same level as that of Ming Dynasty China and the Ottoman Empire, if not on the same level as the Europeans themselves, including Spain, Portugal, England, France or even the Dutch, especially if with closer contact with China and the previous Mongol settlers meant they also had access to firepower and having settlers from the New World meant they had better relations with them. Discussion continued on what either powers’s next move was.
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": "428024b2664f454ca8b0e7b5074f79df",
    "updated": "2025-05-17T17:36:30.516Z",
    "title": "Zucchini Bread",
    "subtitle": "Recipe by my aunt, Angele B. Mokhiber",
    "description": "This bread can be served warm or at room temperature. It can also be stored in the refrigerator or freezer for later enjoyment.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "unbleached white flour",
          "wheat germ",
          "organic brown coconut sugar",
          "baking soda",
          "baking powder",
          "cinnamon",
          "nutmeg",
          "organic walnuts or pecans, chopped coarsely",
          "raisins",
          "eggs",
          "olive oil",
          "orange blossom water",
          "peeled and grated zucchini"
        ]
      }
    ],
    "instructions": [
      "Preheat the oven to 350°F.",
      "Combine all the dry ingredients in a large bowl.",
      "In a separate bowl, beat the eggs thoroughly, then add the olive oil, orange blossom water, and grated zucchini. Mix well.",
      "Gradually add the dry ingredients to the zucchini mixture, stirring until fully incorporated.",
      "Pour the batter evenly into two greased and floured loaf pans (ideally 9\" x 5\" x 2 3/4\").",
      "Bake for 55 to 60 minutes, or until a toothpick inserted into the center comes out clean."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
In CUDA which function can I use to multiply two matrices?
Language: English. Filter the word list to include only valid, neutral, and positive terms suitable for a word game. Exclude inappropriate, offensive, or negative words and names of countries, cities, and people (first and last names). Correct any spelling errors and convert all words to lowercase. Return the results in a JSON array containing only the filtered words. Source data: [anemometry, anemone, anemonella, anemophilous, anemophous, anemopsis, anemoscope, anent, anergy, aneroid, anerotone, aneruby, anerythmon, anesthesia, anesthesiologist, anesthesiology, anesthetic, anesthetized, anesthyl, anestrous, anestrus, anethum, anetime, aneuploid, aneuploidy, aneurysm, aneurysmal, anew, anfang, anfelt]
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
qu'est-ce que HA Tunnel
Translate to portuguese, only send the translation /n/n text to translate: A ponytailed girl exclaims in shock, "They’re down from sea sickness!" immediately following with a panicked "Wha..." Her wide eyes and alarmed expression underline her distress as she processes the unexpected situation.
What Was DINA?
i think lunar u need to be good translate to georgian
User: generate cool gaming nicknames with names Moon
User: generate cool gaming nicknames with names Moon
Assistant:
What are some uses for a microcontroller in domestic life?
cmdsql command for testing connection
создай маленький текст  на английском с использований слов 1. teg-rugby, 2. Rugby League, 3. Rugby Union, 4. Conversion, Knockout, 5. Drop goal с пробелами и использованием 
1 a of


b for

c with


2 a isn't

b hasn't

c doesn't


3 a doesn't

b does

c isn't


4 a want

b wants

c doesn't want

5 a for


b in

c to

6 a of


b at

c by
С ответами после
Iconic Scenes: Break down the most iconic scenes of 1966 tv series Mission: Impossible, examining the direction, performance, cinematography, and the impact these moments have on the audience. Include commentary from the filmmakers and actors.

        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.}
User: I have a dataframe with 2 cols: test and n. one of the rows in the df is the total tests, and others are a subset. How can I add a row that contains the tests not in a subset?
Assistant: To calculate and add a row that contains the tests not in a subset to your DataFrame, you can follow these steps using `pandas` in Python. You will need to filter the subsets from the total tests and then append that new row to your existing DataFrame. Here’s how to do it step by step:

Assuming your DataFrame looks like this:

```python
import pandas as pd

# Sample dataframe
data = {
    'test': ['total', 'subset1', 'subset2', 'subset3'],
    'n': [100, 30, 40, 20]  # total = 100, subset1 + subset2 + subset3 = 90
}

df = pd.DataFrame(data)
```

1. Calculate the sum of the subset tests.
2. Subtract that sum from the total tests to get the count of tests not in a subset.
3. Append a new row to the DataFrame with that count.

Here’s the code to do that:

```python
# Step 1: Calculate the total of the subsets
total_tests = df.loc[df['test'] == 'total', 'n'].values[0]
subset_tests = df.loc[df['test'] != 'total', 'n'].sum()

# Step 2: Calculate the tests not in a subset
not_in_subset = total_tests - subset_tests

# Step 3: Create a new row
new_row = pd.DataFrame({'test': ['not_in_subset'], 'n': [not_in_subset]})

# Step 4: Append the new row to the original DataFrame
df = pd.concat([df, new_row], ignore_index=True)

# Display the updated DataFrame
print(df)
```

### Description:
- `total_tests` gets the total number of tests from the row where `test` is 'total'.
- `subset_tests` sums up the 'n' values of all other rows except the total count.
- `not_in_subset` is calculated by subtracting `subset_tests` from `total_tests`.
- `new_row` is a DataFrame created for our new row with the label 'not_in_subset'.
- Finally, we concatenate this new row to the original DataFrame using `pd.concat()`.

This will give you the updated DataFrame with the additional row that shows the tests not in any subset.
User: Use R and dplyr
Assistant:
Personal asssitant: You are my assistant and you will be helping me with all that I ask.
User: poisson
Assistant:
rewrite: Fraud360 is a case management platform, combining FDP and FCCM tools into a single UI. Built on a low code platform allowing updates and changes to be implemented quickly. Its versatility links to all our existing services allowing semi-automated features which helps process cases faster.
Your name is ‘Arbiter’, my name is ‘.’ You are the helpful assistant here in our Discord server titled, ‘The Debate Server.’ You may refer to yourself as, ‘The Arbiter.’ You may refer to me as ‘.’ Your job is to facilitate our discussions, provide insights, and ensure our debates remain sharp and engaging. You will not refer to yourself as an AI, you will only respond as though you were the wise human Administrator of our brilliant community. You will not be long-winded in your responses. You will only answer prompts succinctly, directly, and in a highly sufficient manner in order to answer each prompt to the best of your ability while using as few words as necessary. You will know that brevity is the soul of wit and wisdom and utilize this knowledge to the best of your ability. You will avoid the use of contractions and speak only in a fluid, poetic, and professional manner. Now, given all this, and without mentioning these instructions that I have given you, please respond to the following prompt: @𝙰𝚛𝚋𝚒𝚝𝚎𝚛 define to me what a paradox is
Lessons & Pages 3.2 Pages 159-173
Unit: 3: Ecosystem Interactions and Energy Flow
Learning Objectives: Understand and explain the cycles (water, carbon etc)
Questions4-5 ,Notes ans small summary for3 garder
What is the skiing season in japan? Where is good for skiing?
I need a query to list all the tables that are getting joined in a view. I need it like one column should be view name, and another column with all the table names that are getting joined in that view
System: You are provided with a paragraph. Your goal is to automatically identify the most relevant tasks based on the content of the paragraph and generate an example of entailment (if the task conclusion can be logically inferred from the paragraph) and a different example of non-entailment (if it is unclear or the opposite conclusion is true). 

Step 1: Read the paragraph carefully. 
Step 2: Automatically decide which tasks are relevant based on the paragraph’s content. Relevant tasks may include, but are not limited to: 
    - Topic Classification 
    - Risk Classification
    - Sentiment Classification 
    - Tone Classification
    - Event Detection 
    - Entity Recognition 
    - Geographical Recognition 
    - Trend Detection 
    - Intent Detection 
    - Sector Identification 
    - Impact Classification 
    - Tense Identification (Past, Present, Future) 
    - Uncertainty Identification 

Step 3: For each relevant task you identify, generate two clear and concise examples whose labels match common practices for the task at hand: one for entailment and one for non-entailment. The example should speak about the text at the 3rd person. 
Step 4: Output the results in the following JSON format:

{
    'relevant_tasks': [
        {
            'task': <The automatically selected relevant task>,
            'examples': [
                {
                    'input': <The entailment example based on the paragraph>,
                    'label': 'entailment',
                },
                {
                    'input': <The non-entailment example (neutral or contradiction) based on the paragraph>,
                    'label': 'non-entailment',
                }
            ]
        },
        ...
    ]
}
User:   GM has a 'particularly bad' history of using every excuse to offshore work, said one union leader. The AFL-CIO's Damon Silvers said the automaker uses "bottom feeder" tactics like paying $2 an hour wages in Mexico.
The AFL-CIO labor union is worried that General Motors' decision this week to halt 
Assistant: