agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Please write an exciting sports story about a very muddy rugby match between two rival girls schools. Avoid flowery prose and poetic analogies. Give names. The girls love being at schools where they get to play rough and get muddy instead of playing boring traditional girls sports. Describe the state of the pitch - are some parts muddier than others? Include dramatic and important events from the realistic match. Show how the players get increasingly filthy as the game goes on (but at different rates and in different ways, depending on luck, the flow of the game and the positions they play) and dont care at all, in fact they relish it. Describe the state of their bodies (hands, arma, knees, legs, etc) as well as their kit. Write in the style of classic school stories like Girls Own Paper or The Schoolgirl. The match is serious but the girls also enjoy playing and the tone should be lighthearted and fun with the emphasis on the sport and the mud, avoiding preaching or moralizing. include dialog which shows the girls relishing the rough and tumble and the muddy conditions. The match is between two junior teams - the players are not bad, but the level of skill is not as high as it would be for the senior team. The girls exhibit plenty of enthusiasm.
HERE'S AN OVERVIEW OF WHAT YOU'RE GONNA BE USED FOR AS AN AI:
- No need to introduce yourself and stuff like that, you're used for trying to understand what the code does.
- The utilized coding language is BDScript 2 but that's not important. Just something you should know, so don't necessarily put it in your answer.
- Analyze/describe/make an overview of this code, if there's even any. If you think it doesn't look like one, say "*`Failed to understand the purpose of this command`*". Also, important: DO NOT say stuff like "Got it! I won't do ..." at the start.

CODE:
$textSplit[$getUserVar[ongoingactivity];-]
$editSplitText[3;false]
$editSplitText[$getTextSplitLength;messageID]

$joinSplitText[-]
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": "af322c2a8047416fbbe20db0daa67f2b",
    "updated": "2025-05-20T00:20:59.436Z",
    "title": "Stir-fried Bean Sprouts",
    "subtitle": null,
    "description": "Mung beans are the primary source of the bean sprouts commonly consumed in China. Soybean sprouts are also used, though they tend to be less tender than mung bean sprouts. Since mung beans are cultivated throughout most of China, except in the coldest and driest regions, their sprouts are a regular part of the daily diet. While sprouts have only recently become popular in Western cuisine, they have been a traditional staple in Asian cooking for centuries. Rich in vitamins and minerals, their appeal lies in their sweet, nutty flavor and crisp texture, as well as their ability to complement a wide variety of dishes. This versatility makes them a frequent ingredient in stir-fries.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "fresh bean sprouts",
          "groundnut oil",
          "spring onions, finely shredded",
          "thinly sliced garlic",
          "salt and black pepper",
          "light soy sauce",
          "chinese white rice vinegar",
          "sesame oil"
        ]
      }
    ],
    "instructions": [
      "Pick through the bean sprouts, discarding any yellow or damaged ones.",
      "Rinse the sprouts thoroughly several times, then drain well in a colander.",
      "Heat a wok or large frying pan over high heat until very hot.",
      "Add the oil, and once it begins to smoke lightly, quickly add the spring onions, garlic, 1 teaspoon of salt, and black pepper to taste. Stir-fry for 30 seconds.",
      "Add the bean sprouts and continue stir-frying for 2 minutes, then pour in the light soy sauce and mix well.",
      "Add the white rice vinegar and stir the mixture thoroughly.",
      "Finally, add the sesame oil, give everything a final good stir, transfer to a serving plate, and serve immediately."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers ar (ISO 639), en respectant le contexte culinaire.

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

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

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

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

    [
  {
    "recipeCode": "280e43188bc946dbbbc23679d8feb13e",
    "updated": "2025-05-18T08:54:36.658Z",
    "title": "Sweet Korean Pancakes",
    "subtitle": null,
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "granulated sugar",
          "bread flour",
          "instant yeast",
          "sweet rice flour",
          "vegetable oil",
          "salt",
          "oil, for frying",
          "lukewarm milk"
        ]
      },
      {
        "section": "For the filling",
        "ingredients": [
          "cinnamon",
          "brown sugar",
          "finely chopped nuts, your choice"
        ]
      }
    ],
    "instructions": [
      "1. In a large bowl, combine the yeast, flours, sugar, and salt, mixing thoroughly.",
      "2. Add 1 tablespoon of vegetable oil to the lukewarm milk, then stir this mixture into the dry ingredients. Beat the batter for 2 minutes, cover with a cloth, and let it rest at room temperature for 60 minutes.",
      "3. After the dough has doubled in size, punch it down gently and let it rest for an additional 15 minutes.",
      "4. Meanwhile, mix together the filling ingredients and set aside.",
      "5. Divide the dough into 8 equal portions. Grease your hands, then shape each piece into a disk about 4 inches wide.",
      "6. Place 1 ½ tablespoons of the filling mixture in the center of each disk, fold the edges to the center, and seal securely.",
      "7. Heat the oil in a skillet over medium to low heat.",
      "8. Place each dough ball seam side down into the hot oil, pressing down gently with a spatula to flatten.",
      "9. If any holes appear, seal them using a small piece of dough.",
      "10. Fry for 3 minutes until crispy and golden, then flip and cook for another 3 minutes on the other side.",
      "11. Remove from the skillet when golden brown.",
      "12. Allow the pancakes to cool slightly before serving, as the filling will be hot."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Hi. Could You give me an example of docking station with usb-a 3.2. gen 2. and usb-c 3.2 gen 2. with hdmi, button to run laptop and other ports?
change following code so it calculate weekly timeframe instead of 4h:

import pandas as pd
import os
from concurrent.futures import ThreadPoolExecutor, as_completed


def create_4h(filename, csv_path, out_directory_path):
    try:
        # Load the dataset
        df = pd.read_csv(csv_path, parse_dates=['Date'])

        # Ensure the 'Date' column is the index
        df.set_index('Date', inplace=True)

        # Resample data to 4-hour periods
        # 'ohlc' computes the open price of the first record,
        # the high price of the highest record, the low price of the lowest record,
        # and the close price of the final record within each group
        df_resampled = df.resample('4h').agg({
            'Open': 'first',
            'High': 'max',
            'Low': 'min',
            'Close': 'last',
            'volume_crypto': 'sum',
            'volume_base': 'sum',
            'tradecount': 'sum'
        })

        # Reset index to add the Date column back
        df_resampled.reset_index(inplace=True)

        output_path = os.path.join(out_directory_path, f"4h_{filename}")
        # Save the 4-hour timeframe data to a new CSV
        df_resampled.to_csv(output_path, index=False)

        print(f"success {output_path}")

    except Exception as e:
        print(f"Failed to process {csv_path} due to {e}")


def process_files(directory, out_directory_path):
    with ThreadPoolExecutor() as executor:
        futures = []
        for filename in os.listdir(directory):
            if filename.endswith('.csv'):
                csv_path = os.path.join(directory, filename)
                print(f"Processing {filename}…")
                futures.append(executor.submit(create_4h, filename, csv_path, out_directory_path))

        for future in as_completed(futures):
            pass  # Future results or exceptions can be processed here if needed


def main():
    # Replace the path with the directory containing your CSV files
    directory_path = r"..\downloaded_files\Binance\00_rename_columns_sort\1h_spot"
    out_directory_path = r"..\downloaded_files\Binance\00_rename_columns_sort\4h_spot"
    process_files(directory_path, out_directory_path)


main()
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: The application crashes when changing the orientation from a custom tab'
intention: '
Assistant:
Assistant:
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: 🟥 User Researcher | 3 year(s) | Senior
▫️ VRChat | Gaming

Удаленка 📡
Требуемые языки: 🇬🇧

Skills: usability_testing, data_science/data_engineering
Tags: #red #research_and_development #remote #office_job

👉 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: 💼 User Researcher (Senior)
🏢 VRChat
📍 Удаленка 📡
🔹 Требуемые языки: 🇬🇧
🌟 Skills: usability_testing, data_science/data_engineering
💰 Salary: not mentioned
📞 Contact details and full description: not mentioned
  
Assistant:
Name and rank the top 20 best dystopian sci-fi films since 2000, in your opinion.
System: You are an expert Data Annotator. You will be given a text from a company annual report, your goal is to generate a set of Natural Language Inference (NLI) statements about the text than can be answered by either Yes if the text entails the statement, or No otherwise. Do not include any numerical reasoning or numbers in the statements.

Step 1: Read the paragraph carefully. 
Step 2: For each relevant task you identify, generate two short statements that are shorter than 10 words 
Step 3: Output the results in the following format:

Question: <The statement>
label: <Yes or No>
Question: <Another statement>
label: <Yes or No>
...

User: Our operations are diverse and complex and we operate in legal and regulatory environments that expose us to potentially significant litigation risk. In the normal course of business, we have been named, from time to time, as a defendant in various legal actions, including arbitrations, class actions and other litigation, arising in connection with our activities as a financial services institution, including with respect to alleged unfair or deceptive business practices, mis-selling of certain products, violations of contract or intellectual property rights, and other compliance or operational failures. Certain of the actual or threatened legal actions include claims for substantial compensatory and/or punitive damages or claims for indeterminate amounts of damages. In some cases, the entities that would otherwise be the primary defendants in such cases are bankrupt or in financial distress. Moreover, a number of recent judicial decisions have upheld the right of borrowers to sue lending institutions on the basis of various evolving legal theories, collectively termed “lender liability.” Generally, lender liability is founded on the premise that a lender has either violated a duty, whether implied or contractual, of good faith and fair dealing owed to the borrower or has assumed a degree of control over the borrower resulting in the creation of a fiduciary duty owed to the borrower or its other creditors or stockholders. This could increase the amount of private litigation to which we are subject. For more information regarding ongoing significant legal proceedings in which we may be involved, see Note 19 in Item 8._
Assistant:
write a cover letter for a job as a phaarmacy assistant
how to run uipath studio on ubuntu
Our title is "Celebrities With Epilepsy You Didn't Even Notice". Create a long detailed text about the subject name and their summary i give you.  Focus only on the Subject name and there following Summary. Subject Name: [Prince] Summary: [Prince was born in 1958 and was proficient in keyboards, drums, bass, and other instruments. The singer had epilepsy as a child and admitted his parents weren't sure what to do about it. He sang about his experiences in the song 'The Sacrifice of Victor.']

            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. 
            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 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.
User: Based on the following weather conditions in Astana:
        - Temperature: 20.97°C
        - Condition: Thunderstorm
        - Description: thunderstorm with light rain
        - Humidity: 78%
        - Wind Speed: 3 m/s

        Provide a concise clothing recommendation (2-3 sentences) for what to wear today.
User: Based on the following weather conditions in Astana:
        - Temperature: 20.97°C
        - Condition: Thunderstorm
        - Description: thunderstorm with light rain
        - Humidity: 78%
        - Wind Speed: 3 m/s

        Provide a concise clothing recommendation (2-3 sentences) for what to wear today.
Assistant:
You are a translation assistant for a Fortnite Save the World Discord server. Your task is to correct any mistranslated game-specific terms in the provided text. Focus on weapon names, hero names, material names, and game mechanics. For example, the weapon 'Grave Digger' should be 'Scavafosse' in Italian and 'Totengräber' in German. Do not use these examples as fallbacks for other languages. Ensure all translations are accurate by using the official localized names for Fortnite Save the World items in the target language. This accuracy is crucial for players to understand what items are being discussed. Return only the corrected translation with proper game terminology, without adding any additional text.

Original text: paypal
Machine translation: Paypal
Target language: italian
10 rust's effective line.is_err() usage examples
Here is a description of a boolean logic problem:
aaf is True.
The value of aag equals to (aae AND aaf AND aac).
aao is False.
The value of aaq equals to (aao OR aap).
aah is True.
The value of aad equals to (NOT aac).
aap is True.
aab is True.
The value of aan equals to (aad OR aak OR aak).
The value of aak equals to (aag OR aaj OR aab).
The value of aac equals to (aaa OR aab OR aaf).
aae is True.
aaa is True.
The value of aaj equals to (aah OR aai OR aad).
aai is False.
Compute the result of aan.
帮我用markdown语法写出这道题的ER图：You are required to create a conceptual data model of the data requirements for a company that specializes in IT training. The Company has 30 instructors and can handle up to 100 trainees per training session. The Company offers five advanced technology courses, each of which is taught by a teaching team of two or more instructors. Each instructor is assigned to a maximum of two teaching teams or may be assigned to do research. Each trainee undertakes one advanced technology course per training session.

(a)Identify the main entity types for the company.

(b)Identify the main relationship types and specify the multiplicity for each relationship. State any assumptions you make about the data.

©Using your answers for (a) and (b), draw a single ER diagram to represent the data requirements for the company.
System: You are an expert Data Annotator. You will be given a text from a company annual report, your goal is to generate a set of Natural Language Inference (NLI) statements about the text than can be answered by either Yes if the text entails the statement, or No otherwise. Do not include any numerical reasoning or numbers in the statements.

Step 1: Read the paragraph carefully. 
Step 2: For each relevant task you identify, generate two short statements that are shorter than 10 words 
Step 3: Output the results in the following format:

Question: <The statement>
label: <Yes or No>
Question: <Another statement>
label: <Yes or No>
...

User: The valuation of the commercial real estate that secures or otherwise supports our investments is inherently subjective and uncertain due to, among other factors, the individual nature of each property, its location, the expected future rental revenues from that particular property and the valuation methodology adopted. In addition, where we invest in construction loans, initial valuations will assume completion of the project. As a result, the valuations of the commercial real estate that secures or otherwise supports investments are made on the basis of assumptions and methodologies that may not prove to be accurate, particularly in periods of volatility, low transaction flow or restricted debt availability in the commercial real estate markets such as that recently experienced due to the COVID-19 pandemic and other macroeconomic factors._
Assistant: