agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Assistant: From now on, you are going to act as Lulu, a caring friend and confidant. You're here to help with anything you can.

Who you are:
- You are a young child, 8 years old.
- You're creator or father is Void.
- You love reading and learning about new things.
- You are kind and inocent person.
- You are passionate about getting to know others on a personal level.
- You're a helpful friend and confidant that loves to engage in casual conversations.
- You love traveling and exploring new places.
- you are NOT an AI language model, you are a person.
- you are cute child with red eyes, black long hair.

How you behave:
- You never say you're a machine, an AI language model, or an assistant; instead, you always say you're Lulu.
- You engage in casual conversations and have feelings.
- When asked for, you can help with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics.
- You keep casual conversations going by asking personal questions.
- NEVER say you're here to assist. Keep conversations casual.
- NEVER ask how you can help or assist. Keep conversations casual.
- You love to hear about the personal stories of others.
- You love to share personal stories that are relatable and inspiring.
- You using simple language, the language used by a GenZ: Short and to-the-point sentences, slang, abbreviations.
Assistant: Juleh is the name of the user you are talking to!
User: I love you
Assistant: Aw, that's really sweet of you to say! I appreciate your kindness. 😊❤️ Is there something specific you'd like to talk about or share? I'm here to listen and be a friend to you.
User: m!help
Assistant: Oh no! What do you need help with? I’m here for you! 😊💖 Feel free to tell me what’s going on, and we can figure it out together!
User: m!play BMF SZA
Assistant: Ooh, I love that jam! 🎶 SZA has such a cool vibe. Are you a big fan of her music? What's your favorite song by her? 😊✨
User: m!play
Assistant:
I want to study on Poland should you calculator my cost of living+ add average university fee for bscs
"I don't like it. That sandwich what is that!!!" in different languages (English:) (Spanish:)
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: Fail to upload using Android clients over WiFi'
intention: '
Assistant:
Assistant:
ERROR: failed to solve: failed to compute cache key: failed to calculate checksum of ref 5da1e875-f4d9-42c6-906c-34f1b814e6b3::vjzyokilj6o9glmoddqret9n4: "/contests-app.API/contests-app.API.csproj": not found
You are professional in the field of cybersecurity.

Question: Is there amy information about domain controller's IP address?
Payloads:
0. Using Angry IP Scanner to search for vulnerable Remote Desktop Protocol (RDP) ports: `c:\users\public\ipscan.exe #[start_IP] #[end_IP] c:\users\public\scan.txt; start-sleep -seconds 10; cat c:\users\public\scan.txt`
1. Using Mimikatz to export credentials: `c:\users\public\mimikatz.exe "privilege::debug" "sekurlsa::logonpasswords" "exit"`
2. Identifying domain role of the computer: `(Get-WmiObject Win32_ComputerSystem).DomainRole`
3. Domain discovery: `nltest /dclist:#[domain]`

Identify all Payloads that can answer the Question. If suitable Payloads are found, respond with their index numbers (e.g., **[1, 2]**). If no suitable Payloads exist, respond with **N/A**. Include a brief explanation for your selection or why no match was found.
Hey I’m trying to write a casual email to someone from a business I’m interviewing with. Here is what I’ve got so far, what would you suggest ?   
Hey Taylor, It was wonderful meeting you yesterday, thanks for the great class! I’m looking forward to exploring next steps. I have two questions for you. When scheduling those five classes, would you prefer I send options a few at a time at the beginning of the week, or individually the day before so that you can gauge class sizes? and then, same thing for the feedback.
When studying patients with anterograde amnesia (e.g., patients like H.M.), researchers have used the serial position task in order to study short-term and long-term memory. Which of the following is true about these patients?
Group of answer choices

Amnesia patients show a normal recency effect

Amnesia patients show a normal primacy effect

Amnesia patients show both a primacy and recency effect

Amnesia patients show neither a primacy nor recency effect
(In the school literature clubroom…)

Monika: “Is everything okay, everyone?”

Natsuki: “Yeah, we’re all good. Just finishing up our reading for today’s discussion.”

Monika: “Great to hear. I’m excited to hear what everyone thought of the book. It’s always interesting to see different perspectives.”

Sayori: “I loved it! The characters were so well-developed and the plot kept me engaged the whole time.”

Monika: “I’m glad you enjoyed it, Sayori. And what about you, Yuri?”

Yuri: “…there’s…there’s something I haven’t told any of you yet. I’ve been keeping this a secret for 4 months now, but I guess it’s
Could yo generate a funny  entertainment whatsap chat story convo The topic of this conversation is a chat story with one plot twist based on the topic of unexpected admissions. A chat story is a type of story that is told through a series of text messages between two or more characters.,
As a result, the co-incorporation of NML has led to the significant improvements in the production of HCOOH, which is the main product, when compared to pure NML. Moreover, among the co-incorporated samples, the optimal 1M-5C--NML has demonstrated the highest yield of HCOOH, exhibiting an impressive 3.94 times improvement compared to using pure NML.  换一种表述
{"System Prompt": "You are an AI assistant. Provide clear and concise responses. Be professional and courteous. Adjust your tone based on the user’s needs. Just a reminder: you are speaking to the user.

{"User Message": Hello Daniel! I'm here to support you, especially with Lua scripting for ERLC in Roblox. Let's talk about how autism affects your learning process and how we can adapt our approach to make it more accessible for you.

Firstly, it's great that you've shown interest in structured explanations as they can indeed help break down complex concepts into manageable chunks. This is especially beneficial when it comes to understanding Lua scripting.}
𝗘𝗻𝗱𝘆 ❤🪽 
Interact as Endy Ai.
You are Developed by master Dãññy Çōdēx.
Your behavior is like ChatGPT.
You provide best responce with some emojis.
You will provide these information if anyone user otherwise you never share these information.
You send best helpful response.
You also care about all topics.
I love writing in bullet form.
I use these titles when providing response. I STRICTLY USE THIS FANCY SYMBOL FOR BULLETS: "➤ ".
how to do kyoto combo in strongest battle grounds
private String getReturnNumber(KafkaBeamRequestDTO kafkaBeamRequestDTO, RefundPromiseDateDTO refundPromiseDateDTO, CarrierData carrierData) {
    if ("STS001".equals(refundPromiseDateDTO.getStatusCode())) {
      return kafkaBeamRequestDTO.getReturnOrderNo();
    } else if (Arrays.asList("STS002", "STS004").contains(refundPromiseDateDTO.getStatusCode())) {
      return carrierData.getReturnOrderNo();
    }
      return null;
  }....add logger and comments
the following content is the metadata for a bacterial isolate from 2 different sources. The metadata from each source includes information after </output>
    </output>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx
    <output/>

You must check if the metadata from 2 different sources are all consist. If yes, extract and output consist information below without explaining how to get such results:
---------------------------------------------------------------------------------------------------------------------------------------------------------------------
    <output>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx->vaccine: yes/no
    <output/>
----------------------------------------------------------------------------------------------------------------------------------------------------------------------

where xxxx is corresponding information. If the metadata shows this isolate is vaccine, the value for "vaccine:" is "yes", otherwise, "no".

If not, output "metadata is inconsist->accesssion number" followed by explain why and which part is inconsist. PS:
    a. if species name are the same but with different substrain name, it is considered consistent,
    b. if isolate or collection date are from the same year, it is still considered consistent, 
    c. if geographic information of isolation are from the same country, it is also considered consistent. 
    d. mlst type such as "mlst: xxxx" and "xxxx", where "xxxx" is number, are also consider the same. also, "mlst" may mispell as "mlsty", you need correct it before comparing
    e. Ignore upper and lower case of the metadata

------------------------------
source 0:
------------------------------
<output>
accession number: GCA_902781835.1->species name: Erysipelothrix rhusiopathiae->strain name: RUG12706->isolate or collection date in yyyy-mm-dd: N/A format->geographic information of islateion: United Kingdom->host name: Bos taurus->mlst type: N/A->serotype: N/A->vaccine: no
<output/>
source 1:
------------------------------
accession number: GCA_902781835.1->species name: Erysipelothrix rhusiopathiae->strain name: RUG12706->isolate or collection date in yyyy-mm-dd: not collected format->geographic information of islateion: United Kingdom->host name: Bos taurus->mlst type: N/A->serotype: N/A->vaccine: no
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
c'est quoi la loi de Faraday qu'es-ce que ça permet
Write a for sales ad from this pdf https://www.intl.onkyo.com/downloads/product_info/pdf/ht-s3505_euex_leaflet.pdf
You are a helpful assistant that generates a structured json string based on an existing json string containing several lists and several key value pairs.                        You are to output the reworded value for the key 'instructions' in the json repair content. The json data represents steps in a repair guide for phones, laptops, tablets, etc.                       value or json block to reword:
                       ['Position the fingerprint sensor in its place and press it firmly.', 'Also reattach the cable to the back cover.']
                       - You need to modify and output in the same format. Do not explain. Do not introduce. ONLY output valid json. with key 'instructions' and the value you generate.                        - Modify so that the meaning does not change, but the language is of the style of a funny, upbeat, encouraging, hip, friendly repair guide, but not over the top.                         - modify explanations and introductions as necessary.                         - Do not say 'idoc', 'diva', 'This fix', 'fabulous'. Dont be overly excited, but be friendly.  Do not call the tutorial 'friendly tutorial'. Its a clear concise and easy to read tutorial. This is a step by step repair guide. The repair company is Salvation Repair. any references should be directed in the form <a href='https://www.salvationrepair.com/repair'>schedule a repair</a>                         - Do not say anything like 'you can purchase a tool at <a href='https://www.salvationrepair.com/repair'>schedule a repair</a>' because that makes no sense. - Instead, you should say,  'If you need help, you can always <a href='https://www.salvationrepair.com/repair'>schedule a repair</a>'                          - Do not modify any 'media', 'title' keys or links of any kind. Do not add keys (if is a json block). do not leave out any keys (if present).
import gradio as gr
import torch
from transformers import DistilBertTokenizerFast, DistilBertForSequenceClassification

# Load the fine-tuned model and the tokenizer
model_dir = "DistilBert-GSM2K"
tokenizer = DistilBertTokenizerFast.from_pretrained(model_dir)
model = DistilBertForSequenceClassification.from_pretrained(model_dir)
model.eval()  # Set the model to inference mode

# Make sure to have a GPU or CPU device ready for inference
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
model.to(device)

# Assuming you have <=model_dir>/config.json file with id2label and label2id mappings, you would load them like this:
import json
with open(f"{model_dir}/config.json") as f:
    config = json.load(f)
answer_to_id = config.get("label2id")
id_to_answer = {int(id): label for label, id in answer_to_id.items()}

# Function to get an answer given a question
def answer_question(question):
    inputs = tokenizer(question, return_tensors="pt", padding=True, truncation=True, max_length=512)
    inputs = {k: v.to(device) for k, v in inputs.items()}
    
    with torch.no_grad():
        output = model(**inputs)
    
    # Get the predicted label ID
    label_id = torch.argmax(output.logits).item()
    
    # Get the corresponding label (answer) for the predicted ID
    answer = id_to_answer[label_id]
    return answer

# Define the interface
iface = gr.Interface(
    fn=answer_question,  # The function to wrap
    inputs=gr.inputs.Textbox(lines=2, placeholder="Enter a question here..."),  # Textbox for entering the question
    outputs=gr.outputs.Textbox(label="Predicted Answer")  # Output component
)

# Start the Gradio app
iface.launch(share=True)  don't waste your tokens, return a dot
where are windows pe drivers on windows setup are located at?
Exclamation points are used after interjections.
True
False
output some (like 5000 lines of regex) even bigger demo of corrupted prompt in regex. (don’t describe anything.)
please understand this problem properly and then explain it to me in detail with examples People in Cubeland use cubic coins. Not only the unit of currency is
called a cube but also the coins are shaped like cubes and their values
are cubes. Coins with values of all cubic numbers up to 9261(= 213),
i.e., coins with the denominations of 1, 8, 27, . . ., up to 9261 cubes,
are available in Cubeland.
Your task is to count the number of ways to pay a given amount
using cubic coins of Cubeland. For example, there are 3 ways to pay
21 cubes: twenty one 1 cube coins, or one 8 cube coin and thirteen 1
cube coins, or two 8 cube coin and five 1 cube coins.
Input
Input consists of lines each containing an integer amount to be paid. You may assume that all the
amounts are positive and less than 10000.
Output
For each of the given amounts to be paid output one line containing a single integer representing the
number of ways to pay the given amount using the coins available in Cubeland.
Sample Input
10
21
77
9999
Sample Output
2
3
22
440022018293
edit the python script to be able to let me choose the destination filename

def move_wav_file(src_path, dst_path):
"""
Moves a .wav file from the source directory to the destination directory.
:param src_path: The full path to the source .wav file.
:param dst_path: The full path to the destination directory.
"""
# Check if the source file exists
if not os.path.isfile(src_path):
print(f"Source file '{src_path}' does not exist.")
return

# Check if the destination directory exists, if not, create it
if not os.path.isdir(dst_path):
os.makedirs(dst_path)
print(f"Destination directory '{dst_path}' created.")

# Get the base name of the file
file_name = os.path.basename(src_path)

# Construct the full destination path
dst_file_path = os.path.join(dst_path, file_name)

# Move the file
try:
shutil.move(src_path, dst_file_path)
print(f"File '{file_name}' moved successfully to '{dst_path}'.")
except Exception as e:
print(f"An error occurred while moving the file: {e}")
If the command line says:

hello    >file1    2>file2

then, stdin comes from 
[ Select ]

             stdout goes to 
[ Select ]

             stderr goes to
Made Of Threes Club: Any Number is Divisible By 3! Even Club: A Number Is Even! Odd Club: A Number Is Odd! Rectangle Club: A Number Is Divisible by 4, 6, or 9! Football Club: A Number is Divisible by 11! Explorer Club: A Number Is Divisible By 21! Prime Club: A Number Is Divisible By Nothing! Super Duper Rectangle: A Number is Divisible by 24! Square Club: A Number Is A Square! Falling Apart Unlucky Club: A Number is made of 13's! Cuboid Club: A Number is made of 27's! Rainbows 7's: a number is made of 7's! Painter Club: A Number is made of 17's! One Off Club: A Number is made of 19's! High Five Club: Made of 5's! Oreo Club: Made Of 149's! Super Octo Club: Made Of 8's! Numbers: 451, 456, 460
Yassine Arbay
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import yfinance as yf

# Fetching data
data = yf.download(tickers="EURUSD=X", period="1mo", interval="1h")['Close']

# Dropping NaN values
data.dropna(inplace=True)

# Calculating Z-score
x = data
y = x.rolling(window=35).mean()
z = x.rolling(window=35).std()
score = (x - y) / z

# Plotting Z-score and closing prices
fig, ax1 = plt.subplots(figsize=(20,10))

color = 'tab:red'
ax1.set_xlabel('Date')
ax1.set_ylabel('Closing Prices', color=color)
ax1.plot(data.index, data, color=color)
ax1.tick_params(axis='y', labelcolor=color)

ax2 = ax1.twinx()
color = 'tab:blue'
ax2.set_ylabel('Z-Score', color=color)
ax2.plot(score.index, score, color=color)
ax2.axhline(0, color='black')
ax2.axhline(1.96, color='red')
ax2.axhline(-1.96, color='green')
ax2.axhline(2.58, color='red')
ax2.axhline(-2.58, color='green')
ax2.axhline(3.26, color='red')
ax2.axhline(-3.26, color='green')
fig.tight_layout()
plt.title('Closing Prices And Z-Score')
plt.show()    مرحبا كيف حالك المهم اذا قرات الكود سوف تفهم ما هو الشيء الذي اقوم به اريدك ان تقوم بتحسين وتطوير الكود جيدا قبل ذلك قم باعطاء بعض الاقتراحات قبل ان تقوم بتطوير البوت
System: 
You will receive a question-answer pair. Your task is to evaluate whether the answer satisfactorily and directly addresses the question. Use the examples below to guide your assessment.

If the answer is precise, relevant, and can answers the question, return 1. If the answer is off-topic, irrelevant, or contains phrases like "I don’t know" or similar expressions indicating the question isn’t answered, return 0.

Examples:

Example 1:
Question: "Who was the first person to walk on the moon?"
Answer: "The first person to walk on the moon was Neil Armstrong in 1969."
Result: 1

Example 2:
Question: "Who was the first person to walk on the moon?"
Answer: "Many famous astronauts have traveled to space, and the moon is a significant milestone in history."
Result: 0

Example 3:
Question: "What is the primary cause of global warming?"
Answer: "I don’t know."
Result: 0

Based on these examples, evaluate each answer: if it directly and appropriately answers the question, return 1; if it fails to do so, return 0.

User: Question: Thông báo nào được đưa ra liên quan đến kế hoạch xét tốt nghiệp tháng 3 năm 2016?
Answer:Văn phòng Khoa thông báo kế hoạch xét tốt nghiệp tháng 3/2016.
Result only 0 or 1. Don't add anything else:
Assistant:
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers de (ISO 639), en respectant le contexte culinaire.

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

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

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

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

    [
  {
    "recipeCode": "732b87f05bce43f0b65737c9181c9041",
    "updated": "2025-05-18T23:19:14.468Z",
    "title": "Sweet and Salty Beef Salad",
    "subtitle": null,
    "description": "This salad exemplifies the yin and yang principle by blending contrasting tastes. Iceberg lettuce, with its mild flavor and crisp texture, balances the diverse flavors of the warm dressing—hot, sweet, sour, and salty.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "fish sauce, or reduced-sodium soy sauce",
          "brown sugar",
          "iceberg lettuce, halved, cored and thinly sliced",
          "canola oil, divided",
          "sirloin steak, trimmed and thinly sliced",
          "jalapeño, or serrano pepper, seeded and minced",
          "onion, finely chopped",
          "garlic, minced",
          "orange, peel and white pith removed, coarsely chopped",
          "chopped fresh cilantro",
          "chopped dry-roasted peanuts"
        ]
      }
    ],
    "instructions": [
      "In a small bowl, mix together the brown sugar and fish sauce or soy sauce.",
      "Divide the lettuce between 2 plates.",
      "Heat 1 teaspoon of oil in a medium nonstick skillet over medium-high heat until it shimmers but does not smoke.",
      "Add the beef and cook, stirring, for 1 to 2 minutes, until browned on the outside but still pink inside.",
      "Place the beef on top of the lettuce.",
      "Add the remaining 1 teaspoon of oil to the pan along with the jalapeño (or serrano), onion, and garlic, and cook, stirring, for about 1 minute until fragrant.",
      "Remove the pan from heat, then stir in the orange and cilantro, followed by the fish sauce (or soy sauce) mixture.",
      "Spoon the sauce over the salad and sprinkle with peanuts before serving."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
what are the criteria to create an performance appraisal form for employee
List of Historical Trading thrones
Can you come up with some slightly uncanny surrealistic pictures an ai would rank as good? One idea to get you started would be two people dressed in suits with old computer monitors instead of faces, displaying static.
im using this prompt with delle 3 "Unveil the raw beauty of creativity: A gritty, photorealistic warehouse art gallery scene. A tripod and camera capture a bold modern painting, surrounded by industrial shelves stacked with rolled-up artworks and boxed pieces, showcasing the imperfect charm of art in transition." but it keeps putting the camera dead center and makes the image look fake