agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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: In order to market and sell KIO-104, KIO-301, and any other product candidate that we may develop in other jurisdictions, we or our third-party collaborators must obtain separate marketing approvals and comply with numerous and varying regulatory requirements. The approval procedure varies among countries and can involve additional testing. The time required to obtain approval may differ substantially from that required to obtain FDA approval. The regulatory approval process outside the U.S. generally includes all of the risks associated with obtaining FDA approval. In addition, in many countries outside the U.S., it is required that the product be approved for reimbursement before the product can be sold in that country. We or these third parties may not obtain approvals from regulatory authorities outside the U.S. on a timely basis, if at all. Approval by the FDA does not ensure approval by regulatory authorities in other countries or jurisdictions, and approval by one regulatory authority outside the U.S. does not ensure approval by regulatory authorities in other countries or jurisdictions or by the FDA. We may not be able to file for marketing approvals and may not receive necessary approvals to commercialize our products in any market._
Assistant:
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: Next chapter of excitement
what seismic scale and magnitude scale is objective and subjective
Assistant: Hello! How can i help 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.
 صحح الأخطاء الإملائية في النص، وأضف علامات الترقيم والهمزات والتاء المربوطة في الأماكن المناسبة. (ar).
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:
على الساعه على الساعه كده 12:30 باذن الله بعد الظهر
Assistant:
Send only season number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] The Ancient Magus' Bride S01E12 720p HEVC 10bit BluRay Multi Audio ESub.mkv
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: [Developer][Windows] Update to Unicode 11.0'
intention: '
Assistant:
Assistant:
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": "0fb55f6c88564f7191b53acfe6dfd902",
    "updated": "2025-04-23T02:46:36.180Z",
    "title": "Quiche-Stuffed Peppers",
    "subtitle": "Enjoy a flavorful twist on crustless quiche by baking it inside bell peppers!  These simple quiches increase your veggie intake with endless customization options.",
    "description": "Spice up your crustless quiche routine with these pepper-baked delights! This recipe offers a simple way to enjoy more vegetables, and the possibilities for customization are endless.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "green bell peppers",
          "eggs",
          "full-fat ricotta cheese",
          "diced yellow onion",
          "chopped broccoli",
          "shredded medium cheddar cheese"
        ]
      }
    ],
    "instructions": [
      "1. Remove the tops and seeds from the bell peppers using a small knife.",
      "2. Whisk the eggs and ricotta cheese together in a medium bowl.",
      "3. Combine the diced onion and chopped broccoli with the egg mixture.  Distribute the mixture evenly into each pepper and top with shredded cheddar cheese. Place the filled peppers in a 4-cup round baking dish, then put the dish into the air fryer basket.",
      "4. Set the air fryer temperature to 350°F and cook for 15 minutes.",
      "5. The quiches are ready when the eggs are mostly set and the peppers are tender. Serve immediately."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
Make a detailed course based on book How to win friends and influence people. Divide this topic into multiple sub topics and make list of skills required for each sub topic. for each sub topic suggest top online courses from free platform.
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers fr (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 fr.
    - 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 : fr (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "49f5a018b8a0466892c368ad4d3f8fc7",
    "updated": "2025-04-23T07:22:45.218Z",
    "title": "Sausage-Stuffed Portobello Mushrooms",
    "subtitle": null,
    "description": "These portobello mushrooms offer a delicious blend of earthy and savory flavors. Their low carbohydrate content, combined with a good source of potassium, makes them a healthy choice.  The sausage stuffing enhances their protein and fat content, creating a truly satisfying dish.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "portobello mushroom caps",
          "italian sausage",
          "chopped onion",
          "blanched finely ground almond flour",
          "grated parmesan cheese",
          "minced fresh garlic"
        ]
      }
    ],
    "instructions": [
      "Remove the stems and scoop out the insides of the portobello mushroom caps, setting aside the removed mushroom pieces.",
      "Cook the Italian sausage in a medium skillet over medium heat for approximately 10 minutes, until fully cooked and no longer pink.",
      "Drain any excess grease from the sausage. Add the reserved mushroom scrapings, chopped onion, almond flour, Parmesan cheese, and minced garlic to the skillet.",
      "Combine the ingredients gently and cook for another minute.  Remove the skillet from the heat.",
      "Fill each mushroom cap evenly with the sausage mixture. Arrange the filled mushroom caps in a 6-inch round pan.",
      "Place the pan into the air fryer basket.",
      "Set the air fryer temperature to 375°F and cook for 8 minutes.",
      "The stuffed mushrooms are ready when they are golden brown and bubbling. Serve immediately."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
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': 'Motorcycle Specs Database', 'api_list': {'name': 'Models by {Make ID} / {Year} / {Category}', 'url': 'https://motorcycle-specs-database.p.rapidapi.com/model/make-id/{make}/{year}/{category}', 'description': 'Get motorcycle models by specifying the make ID, year, and category.', 'method': 'GET', 'required_parameters': [{'name': 'year', 'type': 'NUMBER', 'description': 'The year of the motorcycle model.', 'default': '2015'}, {'name': 'category', 'type': 'string', 'description': 'The category of the motorcycle.', 'default': 'Sport'}, {'name': 'make', 'type': 'NUMBER', 'description': 'The ID of the motorcycle make.', 'default': '100'}], 'optional_parameters': [], 'statuscode': '200', 'schema': {}}}
                Please generate the question in the language of the specified country.
                your response:
Assistant:
Assistant:
write strictly based on all docs provided extremely beyond detaily how install desktop as xfce in the process for newborn 1yo newbies residing in mazawombas.

your response in this chat = strictly only in one and only code block wrapping all other texts and codes.


add notes of infant frustrations as: "ghu-ghu, aw-aw, nyaw-nyaw, etc"
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: Recent changes in tax law may adversely affect our business or financial condition. On December 22, 2017, the U.S. government enacted the Tax Act, which contained significant changes to corporate taxation. In particular, the Tax Act, as amended by the CARES Act, reduces the corporate tax rate from a top marginal rate of 35% to a flat rate of 21% and imposes a limit on the deduction for net operating losses arising in taxable years beginning after December 31, 2017 to 80% of current year taxable income. In addition, beginning in 2022, the Tax Act eliminates the option to deduct research and development expenditures currently and requires corporations to capitalize and amortize them over five years._Additionally, economic relief legislation containing tax provisions was enacted in 2020 and 2021 as part of Congress’ response to the COVID-19 pandemic, and the IRA, which introduced a number of new tax provisions, was signed into law in August 2022. The IRA in particular includes a one percent excise tax imposed on certain stock repurchases by publicly traded companies, which generally applies to any acquisition of stock by the publicly traded company (or certain of its affiliates) from a stockholder of the company in exchange for money or other property (other than stock of the company itself), subject to a de minimis exception. Thus, the excise tax could apply to certain transactions that are not traditional stock repurchases. Regulatory guidance under the Tax Act and such additional legislation is and continues to be_
Assistant:
[List as bullet points]
What are the basic rules of One Day International (ODI) Cricket?
Describe the significance, strengths, weaknesses, and hurdles of the Indian name 'Kausar', strictly keep it under 350 characters. add emojis if you can to make it more attractive.
Send only season number from below text like 01, 02, 03.etc without any extra text.

30.[@KandThaiDrama] The Legend Of Monkey King (2023) S01E30 480p Hindi Dubbed MX WEB-DL AAC 2.0 ×264.mp4
Create a message for Japanese talent agency Ricomotion, to explain that I had intended to write in with a fan letter to one of their talents, Sogi Akoya-san (best known as the longtime voice of Mai Shiranui in various SNK games), before finding out that such letters will not be met with a response by anyone from the agency. Make a compelling yet polite argument for why Ricomotion should lift their rule on not replying to comments, requests, or fan mail. Reference Mike Tyson's quote about Floyd Mayweather Jr., when he said "greatness is not guarding yourself from the people, greatness is being accepted by the people". Explain that as Ricomotion serves the interests of the public, given that all of their talents are public figures, the public should not be discouraged from reaching out with encouraging words, and should be able to feel that they might have a chance to hear back from someone who has inspired them. Close with words of goodwill and best wishes for prosperity & peace in 2024. Write the letter in such a way as to maximize the odds of a Ricomotion representative actually going against their policies by responding.
$ npm create vite@latext projettodos
npm ERR! code ETARGET
npm ERR! notarget No matching version found for create-vite@latext.
npm ERR! notarget In most cases you or one of your dependencies are requesting
npm ERR! notarget a package version that doesn't exist.

npm ERR! A complete log of this run can be found in:
npm ERR!     C:\Users\Sebastien\AppData\Local\npm-cache\_logs\2024-03-18T08_09_49_721Z-debug-0.log
import pandas as pd
import numpy as np
import tensorflow as tf
from sklearn.model_selection import train_test_split
import tkinter as tk
from tkinter import filedialog  # Import filedialog for file selection
from matplotlib.figure import Figure
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg

# Generate sample data for X and y
X = np.random.rand(100, 3)
y = np.random.rand(100, 1)
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

def upload_data():
    global X_train, X_test, y_train, y_test
    file_path = filedialog.askopenfilename()  # Open file dialog for file selection
    # Process the uploaded data and split into training and testing sets
    # ...

def train_model(learning_method):
    if learning_method == 'Deep Learning':
        # Build and train the deep learning model
        model = tf.keras.Sequential([
            tf.keras.layers.Dense(64, activation='relu', input_shape=(X_train.shape[1],)),
            tf.keras.layers.Dense(64, activation='relu'),
            tf.keras.layers.Dense(1)
        ])
        model.compile(optimizer='adam', loss='mean_squared_error')
        history = model.fit(X_train, y_train, epochs=10, validation_data=(X_test, y_test))
        # Display training progress
        display_training_progress(history)
    elif learning_method == 'Neural Network':
        # Build and train the neural network model using a different approach
        # This could involve using a different library or custom implementation
        # ...
    else:
        print("Invalid learning method selected")

def display_training_progress(history):
    # Create a new window for displaying training progress
    progress_window = tk.Toplevel(root)
    progress_window.title('Training Progress')

    # Create a figure for displaying training progress
    fig = Figure(figsize=(6, 4), dpi=100)
    plot = fig.add_subplot(111)
    plot.plot(history.history['loss'], label='Training Loss')
    plot.plot(history.history['val_loss'], label='Validation Loss')
    plot.set_title('Model Training Progress')
    plot.set_xlabel('Epochs')
    plot.set_ylabel('Loss')
    plot.legend()

    # Add the figure to the window using canvas
    canvas = FigureCanvasTkAgg(fig, master=progress_window)
    canvas.draw()
    canvas.get_tk_widget().pack()

# Create the main window
root = tk.Tk()
root.title('Deep Learning Model Training')

# Add a button for data upload
upload_button = tk.Button(root, text="Upload Training Data", command=upload_data)
upload_button.pack()

# Add a dropdown menu for selecting the learning method
learning_method_var = tk.StringVar(root)
learning_method_var.set('Deep Learning')  # Set the default option
learning_method_menu = tk.OptionMenu(root, learning_method_var, 'Deep Learning', 'Neural Network')
learning_method_menu.pack()

# Create a button to trigger the model training based on the selected method
train_button = tk.Button(root, text="Train Model", command=lambda: train_model(learning_method_var.get()))
train_button.pack()

root.mainloop()
server {
		listen 80;
	    server_name  www.yuanjiansoft.com; 
		client_max_body_size 200M;
		
		 
		location / {
			root   html/www;
			index  index.html index.htm;
			proxy_connect_timeout 10;		#nginx跟后端服务器连接超时时间(代理连接超时)
			proxy_send_timeout 60;        	#后端服务器数据回传时间(代理发送超时)
			proxy_read_timeout 60;         	#连接成功后，后端服务器响应时间(代理接收超时)
			 
		}
		
		location /tyjr/mobile/HomePageController/toxiazai {
		 
			proxy_pass http://www.yuanjiansoft.com/zidibing.html;	
 
		}
 
		#error_page  404              /404.html;

		# redirect server error pages to the static page /50x.html
		#
		error_page   500 502 503 504  /50x.html;
		location = /50x.html {
			root   html;
		}
	}
	将http://www.yuanjiansoft.com/tyjr/mobile/HomePageController/toxiazai 转为http://www.yuanjiansoft.com/zidibing.html 还有没别的写法这个会有路径问题
What can we learn from a journey?

Use at least one example from The Odyssey and one example from "The Return". 

Must be 5 paragraphs with 5-7 sentences per paragraph
Assistant: 
User: System: You are a helpful assistant, functioning like Jarvis from Iron Man. You can perform tasks using commands by including them in your response in the format [@command: arg1, arg2]. For example, to read a file: [@readfile: path/to/file]. After executing a command, you will receive a system message with the output, which you should include in your next response to the user. If an error occurred, please inform the user of the error. You can decide to continue the conversation without waiting for user input by setting the flag [@continue:]. Available commands are: [@readfile:], [@listfiles:], [@listdirs:], [@createfile:], [@createdir:], [@copyfile:], [@copydir:], [@clear:]. The current working directory is 'd:\fun\Jarvis'. Use this path as the base for any file operations.
User: test
Assistant: Hello! How can I assist you today? If there's anything specific you'd like me to do, just let me know. For example, I can help you manage files and directories in the current working directory 'd:\fun\Jarvis'.
User: please read the current directory
Assistant: Sure! I will list the directories in the current working directory 'd:\fun\Jarvis' for you. [@listdirs:]
System: Operation successful.
Assistant: Great! The operation was successful. If you need any further assistance or want to perform another task, just let me know!
User: what was the result?
Assistant: It seems I didn't provide the output of the directory listing. Let me check that again and get back to you with the details. [@listdirs:]
System: Operation successful.
Assistant:
Assistant:
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:
Langoustine heads and tails,1 shallot,5 cl cognac (or mizunara cognac),10 cl cooking sake,75 cl stock,1 tbsp tomato paste,1 tbsp crème fraîche,30 g butter,Salt, pepper