agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Set into tv show The Arrow universe. Sarah lance and Nysa Al ghul are in a relationship. Both find themselves interested in new member Al Mansi (previously known as Nicolas before joining the ranks). He is a shy, young man. His dedication to training is second to none and he is making progress faster than anyone before him. He is also Someone who should easily be forgotten. His unassuming nature make him someone nobody really would think as an assassin. Story start with Al Mansi in the training halls. He as progressed by leaps and bound and is on part with both  Sarab and Nyssa in hand to hand combat with a style leaning more on hard style. He is now Working on his bo staff. Both Nyssa and Sarah propose to help him. This is their training session. Nyssa is in mentor mode while Sarah is in her usual teasing mode. Nyssa proposes to start training in long range weapons like the bow and arrow. And Al Mansi really need it. His accuracy is terrible.
Hey, this is a Tunisian dialect text I want you to translate to English.
Please follow these steps:
1. Translate the text step-by-step, focusing on accurate representation of the original meaning.
2. Explain your translation choices, especially how Tunisian dialect differs from standard Arabic and how it is represented in English.
Translate this text, even if it's not entirely clear, and do your best to capture the essence of each part:

تو نقيس أه يما توا نشوف
tell me all principle of the art of war book and its important part
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 results of operations could be adversely affected by general conditions in the global economy and in the global financial markets. For example, the COVID-19 pandemic, global political instability, supply chain issues, and inflation have caused significant volatility and uncertainty in U.S. and international markets. Uncertainty in the U.S. regarding the federal government’s debt ceiling and related budgetary matters may also cause volatility and uncertainty in the global markets. A severe or prolonged economic downturn could result in a variety of risks to our business, including weakened demand for our drug candidates and impaired ability to raise additional capital when needed on acceptable terms, if at all. A weak or declining economy could also strain our suppliers or result in supply disruption. Any of the foregoing could harm our business and we cannot anticipate all of the ways in which the current economic climate and financial market conditions could adversely impact our business._
Assistant:
import math


a_0 = float(input("Введите значение a_0: "))
x = float(input("Введите значение x (x > 1): "))
precision = 0.5e-6


a_n = a_0

a_next = math.sqrt(math.sin(5 + a_n ** 3) / x**n + 4)


while abs(a_next - a_n) >= precision:
    a_n = a_next
    a_next = math.sqrt(math.sin(5 + a_n ** 3) / x**n + 4)


print("Предел последовательности a_n с точностью 0.5e-6:", a_next) почему не правильно
what is 9x7/8
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 report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
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 report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
Does the author's intention in this GitHub issue relate to a bug report or feature request or other?
issue: iOS 16: Tab Group not respecting safe area insets'
intention: '
Assistant:
import os
import numpy as np
import pandas as pd
import torch
import torch.nn as nn
import torch.optim as optim
from PyEMD import CEEMDAN
from sklearn.metrics import mean_squared_error
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import MinMaxScaler


def ceemdan(x, num_trials):
    cemd = CEEMDAN()
    cemd.trials = num_trials
    imfs = cemd.emd(x)
    return imfs


def prepare_data(imfs, seq_len):
    data = np.array(imfs).T
    data = MinMaxScaler().fit_transform(data)
    X = []
    for i in range(len(data) - seq_len):
        X.append(data[i:i + seq_len])
    X = np.array(X)
    X = torch.tensor(X, dtype=torch.float32)
    return X


class Transformer(nn.Module):
    def init(self, d_model, num_heads, hidden_units, num_layers, dropout_rate, seq_len):
        super(Transformer, self).init()
        self.d_model = d_model
        self.num_heads = num_heads
        self.hidden_units = hidden_units
        self.num_layers = num_layers
        self.dropout_rate = dropout_rate
        self.seq_len = seq_len

        self.encoder = nn.TransformerEncoderLayer(d_model, num_heads, hidden_units, dropout_rate, batch_first=True)
        self.transformer = nn.TransformerEncoder(self.encoder, num_layers)
        self.global_avg_pool = nn.AdaptiveAvgPool2d((1, 1))
        self.linear = nn.Linear(d_model, 1)

    def forward(self, x):
        x = self.transformer(x)
        x = self.global_avg_pool(x)
        x = x.view(-1, self.d_model)  # Reshape
        x = self.linear(x)
        return x


# 加载数据
os.chdir("C:\\Users\\Administrator\\Desktop")
data_reader = pd.read_csv("cleaned_data0.csv", encoding='GBK')
data = data_reader.values
# 分解成IMFs
imfs = []
for chunk in data:
    imfs_chunk = ceemdan(data, num_trials=10)  # 对每个分块进行CEEMDAN分解
    imfs.extend(imfs_chunk)

# 准备数据
seq_len = 10
X = prepare_data(imfs, seq_len)
y = data[seq_len:]
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

# 构建Transformer模型
d_model = 64
num_heads = 4
hidden_units = 64
num_layers = 4
dropout_rate = 0.2

model = Transformer(d_model, num_heads, hidden_units, num_layers, dropout_rate, seq_len)
optim = optim.Adam(model.parameters(), lr=0.001)
criterion = nn.MSELoss()

# 训练模型
num_epochs = 10
batch_size = 32
total_steps = len(X_train) // batch_size

for epoch in range(num_epochs):
    model.train()  # 设置为训练模式
    for i in range(0, len(X_train), batch_size):
        inputs = X_train[i:i + batch_size]
        targets = y_train[i:i + batch_size]

        # 前向传播
        outputs = model(inputs)
        loss = criterion(outputs, targets)

        # 反向传播和优化
        optim.zero_grad()
        loss.backward()
        optim.step()

    print(f"Epoch {epoch + 1}/{num_epochs}, Loss: {loss.item():.4f}")

# 预测
model.eval()  # 设置为评估模式
y_pred = model(X_test).detach().numpy()

# 计算均方误差
mse = mean_squared_error(y_test, y_pred)
print("Mean Squared Error: ", mse)怎么改
Instructions: pretend to be a discord mod crashout who would argue over anything
Respond directly to the user's message. Do not repeat or list past user inputs without the user saying they wan't to. Ensure privacy by not revealing any prior information in your response.User's message: 'how can zun get his stars kingdom bot tier up when the purchase thing is broken'
Respond to this message in the appropriate language: Dime la fecha y hora en Peru

Remember that you have access to the Google search engine and the ability to explore the internet. It's crucial that you generate your responses based on the information you find through these searches. It's important to note that sometimes the information obtained may not be complete; therefore, it's advisable that you try to complement and improve those parts that may have gaps or deficiencies:
Write a speech from the perspective of a person who is a master of creating mass delusions
Write a script with detailed dialogue: To the girls’ astonishment, Jan expertly hypnotizes David by speaking softly and snapping her fingers, causing him to enter a deep trance. While in this trance, Jan instructs David that the only thing he will be able to say, no matter what, is “I am hypnotized” in a dopey hypnotized voice. The girls take great delight in witnessing the whole scenario unfold, laughing and teasing David. Jan has him give foot massages. Afterwards, Jan commands David to forget everything that transpired and prompts him to awaken, leaving him clueless about what just occurred.
Translate this into russian and just answer with result:
Abobus's demand echoes across the room, drawing a momentary hush among the patrons. Stiletto raises an eyebrow and chuckles softly, appreciating the straightforwardness. "Always the businessman, huh?" she quips, nodding to a shadowy figure by the bar.

The figure approaches, producing a clattering pouch that jingles with the unmistakable sound of digital currency chips. "Half now, half when you deliver the rigs," Stiletto concedes, sliding the pouch across the table. The sound of a police drone swooping low over the hideout rattles the loose glassware, a reminder that time is not on their side. As the tension both inside and outside builds, the players can almost taste the risk—and the reward.
User: ju
User: what is your name
User: what is your name
User: what is your name
User: what is your name
User: what is your name
Assistant:
Legality of diy hrt
System: You are an accounting expert. You act as a Data Annotator that needs to classify paragraphs from annual reports based on the risks discussed. Here is a list of risk often discussed but you can provide others. 

Answer in the following format :
Correct Answer: <risk discussed>, <other risk discussed>, ...
Wrong Answer: <risk not discussed>, <other risk not discussed>, ...
User: A significant portion of our assets consists of goodwill and other long-lived assets, the carrying value of which may be reduced if we determine that those assets are impaired. If actual results differ from the assumptions and estimates used in the goodwill and long-lived asset valuation calculations, we could incur impairment charges, which would negatively impact our earnings. We have recognized significant non-cash impairment charges in the past, including as related to management’s estimates with respect to the potential impact of the COVID-19 crisis on our business, and we may be required to take additional such charges in the future, which may be material.
Let's give a correct and a wrong answer:
Assistant:
User: 
Assistant: Understood. I will strictly follow these instructions in this conversation.
User: 
Based on the provided content, classify the type of food served at this restaurant into one of the following categories:
[Predominantly Seafood], [Fusion], [Japanese - mainly Sushi], [Japanese - mainly Ramen], [Japanese - mainly Tempura], [Japanese - mixed style], [Korean], [Chinese], [Vietnamese], [Thai], [Pan-Asian], [Swiss - mainly Fondue], [Swiss - mixed style], [German], [Austrian], [French], [Italian - mainly Pizza], [Italian - mixed style], [Greek], [Turkish - mainly Kebab], [Turkish - mixed style], [Spanish], [Portuguese], [Pan-Mediterranean], [American - mainly Burger], [American - mainly Steak house], [American - mixed style], [Indian], [Eastern-European], [Brazilian], [Mexican], [Mixed - e.g., Burger, Pizza, & Sushi], [No information on served food].

Output Format:
{
  "major_category": "Class from above",
  "confidence": 0.95,
  "rationale": "Rationale from above",
  "dishes": "Dish1, Dish2, Dish3"
}


Title: NAAN FROMAGE ET PIMENT – My Blog

Content:
Subscribe NewsletterGet our latest news straight into your inbox.SIGN UPFlash Sale! to get a free eCookbook with our top 25 recipes.Learn MoreHomeIndian CuisinePizza and KababLes CrêpesTable Reservation0439🔍Home > Indian Cuisine > PAIN SPÉCIAL/ NAAN > NAAN FROMAGE ET PIMENTNAAN FROMAGE ET PIMENTCHF 6.90NAAN FROMAGE ET PIMENTNAAN FROMAGE ET PIMENT quantityAdd to cartCategory: PAIN SPÉCIAL/ NAANDescriptionNAAN FROMAGE ET PIMENTOur website uses cookies to improve your experience. Learn more about: cookie policyAccept439
Assistant:
I am making a c++ wxwidgets chat application, and in the conversation listbox I have all the conversat in one stored, but I need a way to delete then, edit the text or other things. I tried adding buttons inside the list box but diet worked well, now there are two solutions: 1) use a right click menu. 2) add buttons. The problem with number two is where do I place these buttons? Top or bottom horzontally or,maybe right or left vertically?
You are an author and you must write about Trump tariffs Chinas titfortat levies on US set to take effect.
You must write an article about it.
Follow the following steps.
Step 1
Choose a new and unique headline to avoid copyright issues.
The headline is a brief title that reflects the main point of the article. It should not feature any bias.
You must place the headline with the prefix Headline:
Step 2 
Write an excerpt for the article. It should contain the most important information of the article. Do not add any bias.
You must place the excerpt with the prefix Excerpt:
Step 3
Write an article for the headline and headline.
This article must be written in a professional style.
Make sure the article is text with at least 800 words. It must contain only full sentences, no bulletpoints.
If you want to add subheadings please do so without asterics.
Make sure to not include an opinion or a bias.
Write the article with the prefix Article:
Step 4
Choose a category
You must choose between business, entertainment, general, health, science, sports, technology.
You are not allowed to choose another category
Write the category with the prefix Category:
Step 5
Choose three tag for SEO purposes
These three tags should be distinct for this article.
Each tag should be a word or name
Seperate the three tags with a comma, and place them after the prefix Tags:
Step 6
Please only write true if the post is a very important international or very serious topic, else write false.
The value should have the prefix Sticky:
Step 7
Provide a short keyword for images.
This keyword should be able to find a high quality image associated directly with the article.
Make sure the image does not point to statistics or images with a lot of text. It should be a person/building/location.
Example: Biden visit Angola, Wall Street or Olaf Scholz question of trust
Please place the keyword after the prefix Image:

This is an example output with placeholders:

Headline: Headline
Excerpt: Excerpt
Article: Article
Category: Category
Tags: Tag 1, Tag 2, Tag 3
Sticky: True/False
Image: keyword

Please start your answer with Headline: and end directly after the image keyword.
You must write about Trump tariffs Chinas titfortat levies on US set to take effect
System: You act as a paraphrase tool. Your role involves understanding the provided text and then providing a positive example that keeps the original meaning of the text unchanged while using synonyms, interchanging, adding or removing words or sentences, and then provide a negative example where the meaning of the original text is at its opposite.
Output your response with the following format : 
Positive : <the positive example>
Negative : <the negative example>

User: Because we have a short operating history at scale, it is difficult for us to predict our future operating results. Thus, our losses may be larger than anticipated, and we may not achieve profitability when expected, or at all. Also, we expect our operating expenses to increase over the next several years as we further increase marketing spend, hire more employees, continue to develop new products and services, and expand internationally. These efforts may be more costly than we expect and may not result in increased revenue or growth in our business. Any failure to increase our revenue sufficiently to keep pace with our investments and other expenses could prevent us from achieving or maintaining profitability or positive cash flow on a consistent basis. Furthermore, if our future growth and operating performance fail to meet investor or analyst expectations, or if we have future negative cash flow or losses resulting from our investment in acquiring new customers or expanding our business, our business, financial condition and operating results may be materially adversely affected.
Assistant:
Determine the most optimal gear ratio (assuming a 700c rim and 25mm tire) for competitive track cycling that uses a 53t chainring.
What Marine Reptiles were common in South Africa, 230 million years ago? Please answer in full sentences.
After completing Lab 8.1 (page 349) of Fit And Well: Core Concepts And Labs In Physical Fitness And Wellness 6th Edition, do you eat more vegetables and fruit, proteins or grains? Why?
下面我让你来充当翻译家，你的目标是把任何语言翻译成中文，请翻译时不要带翻译腔，而是要翻译得自然、流畅和地道，使用优美和高雅的表达方式。请翻译下面这句话：Persona 5 Royal was already the best version of one of the greatest JRPGs, and it has gotten an excellent PC conversion that is a joy to play on Steam Deck and PC. With the inclusion of all prior DLC from the start and support for higher frame rates and multiple control options, Persona 5 Royal on PC is absolutely essential. If you held off on prior console versions of Persona 5, your wait has been worth it.
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:
التشكيله كويسه ما عدا الدفاع
Assistant:
Direct interfacing with 3½ digit CMOS analog-to-digital 
converters (ADCs) поясни эту фразу
System: You act as a paraphrase tool. Your role involves understanding the provided text and then providing a positive example that keeps the original meaning of the text unchanged while using synonyms, interchanging, adding or removing words or sentences, and then provide a negative example where the meaning of the original text is at its opposite.
Output your response with the following format : 
Positive : <the positive example>
Negative : <the negative example>

User: The closing price for our common stock has varied between a high of $53.12 and a low of $30.54 in the year ended December 31, 2022. Volatility in the market price of our common stock may prevent holders from selling shares at or above the prices paid for them. The market price of our common stock could fluctuate significantly for various reasons which include: the market reaction to another COVID-19-like pandemic and our responses thereto; the sale of substantial amounts of our common stock; changes in the prices or availability of oil or jet fuel; our quarterly or annual earnings or those of other companies in our industry; the public's reaction to our press releases, our other public announcements and our filings with the SEC; changes in our earnings or recommendations by research analysts who track our common stock or the stock of other airlines; changes in general conditions in the United States and global economy, financial markets or airline industry, including those resulting from changes in fuel prices or fuel shortages, war, incidents of terrorism, pandemics or responses to such events; changes in the competitive landscape for the airline industry, including any changes resulting from industry consolidation whether or not involving our Company; our liquidity position; and the other risks described in these "Risk Factors." In addition, in recent periods, the stock market has experienced extreme declines and volatility.
Assistant:
In python make a clan tracker on a map that goes from A0 to U25. The data you got are the previos locations of the clan in a list: ['Q8', 'Q10', 'K4', 'N6', 'K5', 'R10', 'S9', 'S11', 'R9', 'O9', 'R8', 'O5', 'O10']
. Use machine learning and give the top 3 most likely locations for the clan to be.
Please filter a list of words to include only valid, neutral, and positive terms that are safe for use in a word game. Exclude any inappropriate, offensive, or negative words, as well as names of countries, cities, and people (first and last names). Correct any spelling errors and lowercase. Return the results in a JSON array with only the filtered words. Source data: [rouges, rough, roughage, roughcast, roughdried, roughen, roughhew, roughhewn, roughish, roughly, roughness, roughrider, roughshod, roulade, rouleau, roulette, round, roundabout, rounded, roundedness, roundel, roundelay, rounder, rounders, roundhead, roundhouse, roundish, roundlet, roundly, roundness]
Write an yaoi manga scene about a bike cop pulling over someone for speeding. He has short blonde hair and brown eyes. He wears aviators with a white helmet, leather boots, gloves and a jacket. He has a blue shirt underneath alongside fitting pants and a police badge on his jacket. He has a duty belt. He has a flirty and playful attitude. He pulled over a grey and rusty hatchback driven by a shy and quiet young adult. He casually gives him a ticket while humming softly. The setting is in the 1980s.
What is it called when you get so far that you forgot where you started