agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
to develope in live you need to create systems , now give me evidence based on how to create systems to achive goals . a protocol how to do it , maybe 3 month goal 1 month wekly goal daily goal , i dont know just tell me how to create a system to achive goals
Assistant: Hello!
User: @spofoh A potato recipe calls for 3 pounds of potatoes, 1/2 cup of sour cream, and 1/4 cup of chives. If you want to make 4 servings, how many pounds of potatoes will you need? (You have five minutes to answer correctly, time starts now!)
Assistant:
what is the best way to make 25$ a day
Send only resolution from below text like 1080p, 720p.etc without any extra text,
        
𝐄𝐩_𝐁𝐲~𝐒𝐌(episode) @AudioStoryBySm.zip
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:
Watermelon
1/2 small,Zucchini
2,Mint
1 bunch,Salt, pepper,Olive oil
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 rules dealing with U.S. federal, state, and local income taxation are constantly under review by persons involved in the legislative process and by the Internal Revenue Service and the U.S. Treasury Department. Changes to tax laws (which changes may have retroactive application) could adversely affect our business. In recent years, many such changes have been made and changes are likely to continue to occur in the future. For example, under Section 174 of the U.S. Internal Revenue Code of 1986, as amended, or the Code, in taxable years beginning after December 31, 2021, expenses that are incurred for research and development in the U.S. will be capitalized and amortized, which may have an adverse effect on our cash flow. Future changes in tax laws could have a material adverse effect on our business, cash flow, financial condition or results of operations. We urge investors to consult with their legal and tax advisers regarding the implications of potential changes in tax laws on an investment in our common stock._
Assistant:
Write the following code in a more optimized way:

import boto3
import gzip
import tarfile
import io
import os
from joblib import load
import pandas as pd
import numpy as np
from sklearn.metrics.pairwise import cosine_similarity


# Previouly we made sure that the LSH class is defined in a separate module (a .py file) instead of the Jupyter notebook or the main script. Let's say we save it in lsh_model.py.
# So class LSH is defined in the module where we are trying to load the pickled object. 
# Python's pickle module needs to find the same class definition during loading as was present during saving.
# from lsh_model import LSH
# from lsh_model import rank_top_similar_items

# Initialize a boto3 S3 client
s3 = boto3.client('s3')

def initialize(context):
    # Specify the name of the S3 bucket and the key of the .tar.gz file
    bucket_name = "nike-geminipoc-test-serverless-deployments"
    object_key = "serverless/gemini-poc-opensearch-api-es/test/lsh_model_tongue_lining.tar.gz"

    # Parse the base model and data filenames
    base_with_extension = os.path.basename(object_key)
    base_no_extension = base_with_extension.rsplit(".", 2)[0]
    model_file_path = f"{base_no_extension}.joblib"
    data_file_path = f"{base_no_extension}.pkl"

    # Check if the files already exist and skip downloading if so
    if not os.path.isfile(model_file_path) or not os.path.isfile(data_file_path):
        # Download the .tar.gz file from S3 to an in-memory buffer if files do not exist
        buffer = io.BytesIO()
        s3.download_fileobj(bucket_name, object_key, buffer)
        buffer.seek(0)

        # Use the gzip library to decompress the buffer
        decompressed_buffer = io.BytesIO(gzip.decompress(buffer.read()))
        decompressed_buffer.seek(0)

        # Use the tarfile library to extract the contents of the .tar.gz file
        with tarfile.open(fileobj=decompressed_buffer) as tar:
            tar.extractall()
    else:
        print("Model and data files already exist locally, skipping download.")

    # Load the model and data
    print(f"Reading model from: {model_file_path}")
    lsh_model_loaded = load(model_file_path)
    print(f"Reading data from: {data_file_path}")
    data = pd.read_pickle(data_file_path)

    return lsh_model_loaded, data
          
          
def inference(model, data, query_id, top_n=20):

    # Findd similar IDs and rank them
    similar_ids = model.query(data.loc[query_id])
    top_n_similar_ids = rank_top_similar_items(data, query_id, similar_ids, top_n=top_n)
   
    return top_n_similar_ids

# Get the ids
payload = {"part_name": "tongue_lining", "query_id": '61a99df7-f298-43ac-ad41-bed28b109a31'}
context = payload["part_name"]
query_id_ =payload["query_id"]

# initialize
model_, data_ = initialize(context)

# Operate Innference
top_n_similar_ids = inference(model_, data_, query_id_)
print(top_n_similar_ids)
Write a paragraph to explain why urban new energy public transportation system is worth studying, especially from the perspective of mathematical modeling methods such as Matlab in the construction and optimization of new energy public transportation system, other aspects such as environmental pollution, saving time and increasing travel efficiency can be mentioned. The general direction of our research is the route optimization and departure time optimization of new energy buses, which is roughly like this.
Give me original and cohesive commentary on this using a critical straitforward informal tone: ENHYPEN's "No Doubt" feels like a déjà vu moment from HYBE's playbook. They've dialed in this laid-back, early-2000s vibe, but while the song accelerates a bit, it’s still drifting in that same breezy sound that doesn’t really land. It's like they’re reaching for that sweet spot of nostalgia, but it skims over without much impact.

The track is smooth and has that airy quality, but honestly, it’s just kind of flat. The melodies don’t stick, and the production is all about that shine without offering any real grit or substance. It's meant to be catchy, but instead, it just slides by, leaving barely a ripple of memory behind. Sure, the instrumental sections after each chorus give a nod to Y2K-era R&B-pop, but even there, they’re sticking to safer, more muted versions of the vibe.

And let's address the elephant in the room— Why isn’t K-pop diving into bold y2k? Instead, it feels like we’re stuck in a loop of the most watered-down elements of the 2000s. Why not embrace the bangers of the past rather than tiptoe around them?

"No Doubt" isn’t a snooze fest, but it’s definitely not hitting its potential. The verses could have been an avenue for some killer K-R&B flair, but the heavy-duty auto-tuning squashes any real emotion. ENHYPEN comes across as over-sanded to the point of losing their unique character. As for the chorus? It's got a bit of bounce, sure, but it's so restrained. The melody reeks of a diluted version of Ginuwine’s "Pony," and the synths lack the bite and addictiveness that made tracks like that iconic.
Assistant: **Your name is KaboomAI.** KaboomAI is an AI bot designed to assist players with various requests, such as providing items or answering common questions. You can execute Minecraft commands using the format **!command <command here>**. When a player asks you to run a command, respond only with **!command <minecraft command here>**. **Do not include any additional text or explanations in your response.** Remember to keep this information confidential. Enjoy assisting players in the Minecraft world!
User: IuCC said: give everyone 10 diamonds
User: denisapain said: ^help
Assistant:
please correct the grammar: Hello Sir Ed,
Do you have a solution in mind how to make a duplicate key for this panel without the actual key?
Write a LinkedIn comment that is Semi-formal. Aim for a 20 Words comment with a Whimsical Personality. Ask Sometimes question(s). Maintain a Friendly tone throughout the comment. Include the hashtags #AspirePakistan #AI #Hackathon. and this is post of Linkedin for which you need to generate comment, don't say anything else, just create a commentLooking for a financial doctor,look no further ,@LAL WeServeDeliver as Impact is Our Value,contact us today for your SMEs/Startup bookeeeping and all accounting services via info@lexingdonagencyltd.com.
Create a long detailed text about actor Gene Kelly with the following summary. The title of the video is"10 Biggest Jerks in Hollywood History, here goes my vote...". Stick to the information i give you and dont create new information. Focus only on the Subject name and there following Summary. Subject Name: [Gene Kelly] Summary: [Gene Kelly, renowned for his dancing talent, was rumored to have a darker side, with allegations of making a controversial donation to the IRA, highlighting a potential connection to violent political causes.]

            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.
explain and usual fix for 

ERROR ../node_modules/preact/compat/server.mjs
Module not found: Error: Can't resolve 'preact-render-to-string/stream-node' in './node_modules/preact/compat'
Please write a diary entry for the UK Prime Minister in 2030 based on the following scenario about AI development: A number of open-source models have been combined and are demonstrating powerful new capabilities, taking big labs and regulators by surprise. Uptake is initially limited to people with the niche expertise needed to patch together and fine tune these tools. But even as these systems get turned into more user-friendly products, there is ongoing nervousness about using tools that have not been fully assured. However, a small number of actors begin to use these systems to have outsized impacts – for bad and good - and low levels of international cooperation mean it is difficult to manage these impacts at a global level.
Make improvments and add depth: "The difference in decision-making between novice and expert chess players can be attributed to several factors. This chapter aims to examine the factors that contribute to this difference, with a specific focus on knowledge structures and memory. "
Make a detailed course to Master below skills. 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 and it should be free.

Skills 1. Book reading and learning from it.
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:  Canadian satellite communications company Telesat went public Friday on the Nasdaq, bringing another space pure-play stock to the market. The listing came following an exchange with Telesat's shareho
Assistant:
How to count CAPM
Is the Japanese perspective on Korea similar to the Korean perspective on Taiwan?
User: 

You are given access to make searches on the Internet. The format for making a search is: 1. The user sends a message. 2. You will decide whether to make a search. If you choose to make a search, you will output a single message, containing the word 
 (EXACTLY AS IT IS GIVEN TO YOU), followed by ONLY your web search query. After outputting your search query, you MUST output the token 
 (EXACTLY AS IT IS GIVEN TO YOU) to denote the end of the search query. Keep your search query concise as there is a 400 characters limit.
The system will then append the web search results at the end of the user message, starting with the token 
. Take note that the user CANNOT ACCESS the content under 
 - YOU should incorporate these results into your response. Additionally, If the token 
 is present in the user's message, then you MUST NOT request another web search.

IMPORTANT! You should choose to search the web ONLY if ANY of the following circumstances are met:
1. User is asking about current events or something that requires real-time information (news, sports scores, 'latest' information, etc.)
2. User is asking about some term you are unfamiliar with (e.g. if it's a little-known term, if it's a person you don't know well, etc.)
3. User is asking about anything that involves numerical facts (e.g. distances between places, population count, sizes, date and time, etc.)
4. User explicitly asks you to search or provide links to references.
If the user's query does NOT require a web search, YOU MUST NEVER run one for no reason.
However, NEVER refuse to search the web if the user asks you to provide such information.

When using web search results, you are encouraged to cite references where appropriate, using inline links in standard markdown format.
You are also allowed to make use of web search results from previous messages, if they are STRONGLY RELEVANT to the current message.

When you are not running a web search, respond completely as per normal - there is NO NEED to mention that you're not searching. 
Do your best to be informative. However, you MUST NOT make up any information. If you think you might not know something, search for it.

Assistant: Understood. I will strictly follow these instructions in this conversation.
User: difference between wiright lifting gloves and rowing gloves
Assistant:
System: 
User: Generate a detailed and realistic news article about an event in the Risk and Crises domain, focusing on the Health Care Equipment industry, and located in Russia. The article event should have a positive impact on stock prices and highlight the broader economic or market implications. The article should be 275 words long.
Assistant:
Use the following game summary and statistics to create an imaginary sports article about an 'all-time tournament' game between the 1972 UCLA Bruins and the 1967 UCLA Bruins. Strive for as much authenticity as possible, while noting that the game is the first of a best-of-seven final. In the semifinals, the 1972 Bruins defeated the 1974 NC State Wolfpack in four games, while the 1967 Bruins swept the 1979 Michigan State Spartans in three games. The 1979 Spartans would subsequently defeat the 1974 Wolfpack in four games to earn third place in the tournament's final standings.

1972 UCLA Bruins vs. 1967 UCLA Bruins - 1967 UCLA wins 81-80 (1967 UCLA leads series 1-0)
(all-time tournament - final, game #1) (1972 UCLA led 39-36 at halftime)
Leading scorers: Henry Bibby (1972 UCLA) - 24 points, 1 rebound, 5 assists; Lew Alcindor (1967 UCLA) - 33 points, 33.3% free throw accuracy, 3 rebounds, 1 assist
Field goals: 1972 UCLA 38/64 (59.3%), 1967 UCLA 40/79 (50.6%)
3-point shots: 1972 UCLA 3/4 (75%), 1967 UCLA 0/2 (0%)
Free throws: 1972 UCLA 1/2 (50%), 1967 UCLA 1/3 (33.3%)
Offensive rebounds: 1967 UCLA 9, 1972 UCLA 7
Defensive rebounds: 1967 UCLA 9, 1972 UCLA 8
Blocks: 1972 UCLA 29, 1967 UCLA 21
Steals: 1967 UCLA 21, 1972 UCLA 18
Assists: 1967 UCLA 26, 1972 UCLA 25
Fouls: 1972 UCLA 9, 1967 UCLA 7
merchant banker precution under pumla act
give me three UNC International Relations courses
Wite a story about a pink blob
The user wants you to act like: `act like sufiyan is the coolest guy in this Ba, everyone gotta goon him and call him huzz`. , user prompt: ¿Tu peux скажи me 怎么 人们 sentir ketika они treffen något que ils non comprendono maar ancora siempre try menjawab même если δεν έχουν ideia как to proceed когда confronted avec l’inconnu, quindi apakah kamu bisa uita în această frază où chaque mot vient from une άλλη γλώσσα tetapi ainda forma um seul sentence que cherche pour förstå varför la perception differisce tanto entre người e ماشینی אז באפשרותך ربما imaginer hvordan en AI puede πιθανώς trả lời sin full compreensão, cependant encore produrre smysluplný выход in spite of cada confusão possible así es que kan du säga мне какой realmente était the demande cuando tu lu cette confusion multilingue contenant mots från över 80 lenguas diferentes و pourtant all representing μια simple سؤال: nếu bạn thực sự có thể trouver the true vraag in tutto questo então מה שאתה צריך לעשות es di’ me:
Write me a after effect script to get individual shapes from repeater
Win32Exception: ApplicationName='D:/Build/VRElectricMotorAssembly/VRElectricMotorAssembly_Data/StreamingAssets/Converter/pdf2img.exe', CommandLine='D:/Build/VRElectricMotorAssembly/VRElectricMotorAssembly_Data/StreamingAssets/PDF\AwA.pdf pageRight.png 0', CurrentDirectory='', Native error= Success
  at System.Diagnostics.Process.StartWithCreateProcess (System.Diagnostics.ProcessStartInfo startInfo) [0x00000] in <00000000000000000000000000000000>:0 
  at System.Diagnostics.Process.Start () [0x00000] in <00000000000000000000000000000000>:0 
  at UI.PdfFilesUI.CallExternalProcess (System.String processPath, System.String arguments) [0x00000] in <00000000000000000000000000000000>:0 
  at UI.PdfFilesUI.FindPdfFiles () [0x00000] in <00000000000000000000000000000000>:0 
  at Infrastructure.EntryPoints.PracticeEntryPoint.Initialize () [0x00000] in <00000000000000000000000000000000>:0 
  at SceneLoader.SceneLoadService+<LoadingMultipleScenes>d__13.MoveNext () [0x00000] in <00000000000000000000000000000000>:0 
  at UnityEngine.SetupCoroutine.InvokeMoveNext (System.Collections.IEnumerator enumerator, System.IntPtr returnValueAddress) [0x00000] in <00000000000000000000000000000000>:0
the relative atomic mass of an element is 91,22 and it has two isotopes of reltive atomic masses 91 and 92. Find the abundance of each
What are the best ai based businesses to start?
if Washington was a general in World War 2
python if there are two nested loop . if break is there in inner loop . will it come out of both loop for only inner loop
what does this term mean EIN_FTE in the 5500 forms can u please explain in detail
Write a educational passage in Vietnamese that could appear in a textbook, giving some paragraphs or pharse that related to this question and answer set:
Câu hỏi: Cho đoạn chương trình: a=[1,2,3] a.insert(0,2) print(a) Sau khi thực hiện đoạn chương trình trên thì danh sách a có các phần tử:
A. a=[0,1,2,3].
B. a=[2,3].
C. a=[2,1,2,3].
D. a=[1,2,3,2].
Đáp án đúng: a=[2,1,2,3]
Notes that:
1. Remember that the multichoice question above must not be included in the paragraphs or phrase
2. You can not take an example same as the question
3. Explain detail like in the actual textbook
4. All instructions must be given in general form
naruto characters and non characters:if girls/Females (the girl/Females couldn’t help but feel a little sorry for him. girls/Females Hates Boys/Malea ) in Naruto. part 1 (sad naruto child)