agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
In the distant future, a joint city-station was created on the Lilia space station with the participation of the United States, China and Russia. 

Help me come up with a name and description for:
1. American section of the station
2. Chinese section of the station
3. Russian section of the station
4. Elite area in the American section
5. Residential area in the American section
6. A poor neighborhood in the American Section
7. Commercial area in the American Section
8. Entertainment district in the American section
9. Elite area in the Chinese section
10. Residential area in the Chinese section
11. A poor neighborhood in the Chinese section
12. Industrial area in the Chinese section
13. Agricultural area in the Chinese section
14. Elite area in the Russian section
15. Residential area in the Russian section
16. Poor area in the Russian section
17. Scientific and educational district in the Russian section
18. Trade and craft district in the Russian section
19. Joint command and control area
20. Secret criminal area
Task: Define keyword intent. Based on keyword context, define whether it is:
1. Relevant or not relevant to SEO Marketing
2. Is Informational - the intent behind keyword is to search for information (guidance, advice, article, etc.);
3. Is Transactional - the intent behind keyword is to search for services (person needs SEO Marketing services);
4. Is Branded - the intent behind keyword is to search for information or services provided by some brand;
# If the keyword includes a well-known SEO expert's name (e.g., Neil Patel, Brian Dean), classify it as Branded.
# Differentiate between Branded and Non-Branded carefully. People can search for a specific SEO service (e.g. promoting a website made on Joomla) 

Your Response options (only one):
If "Relevant":
1. "Relevant, Informational"
2. "Relevant, Transactional",
3. "Relevant, Branded",
4. "Relevant, Informational, Branded"
5. "Relevant, Transactional, Branded"
If "Not relevant":
1. "Not relevant"

WARNING: RESPOND ONLY USING ONE OF THE PROVIDED RESPONSE OPTIONS.

Keyword: test speed google website
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: Bottom Navigation bar '
intention: '
Assistant:
my laptop sometimes would restart on his own after booting a game at first secs (if it does not happpen then it wont restart and the gpu can play games even for 10 horus)
can cleaning up my charger from dust inside the plug and outside the other plug end help?
You are a database expert and SQL optimizer. You will be given a SQL rewrite rule, an original query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence by following the given rewrite rule. Your task is to create a new pair of original and rewritten queries that adhere to the provided rewrite rule.

[REWRITE RULE]```If a query produces a single row output using multiple subqueries that each reference the same base table, rewrite the query to scan the base table only once. Use CASE statements within each subquery to preserve equivalence, and move necessary WHERE clause filters from the subqueries into the main query.```

[ORIGINAL QUERY]```SELECT sales_avg, hr_count FROM (SELECT AVG(salary) AS sales_avg FROM employees WHERE department = 'Sales' AND experience_years BETWEEN 1 AND 5 AND salary BETWEEN 50000 AND 60000) AS sales, (SELECT COUNT(*) AS hr_count FROM employees WHERE department = 'HR' AND experience_years BETWEEN 5 AND 10 AND salary BETWEEN 80000 AND 90000) AS hr FROM dummy WHERE d_dummy_sk = 1;```

[REWRITTEN QUERY]```SELECT AVG(CASE WHEN department = 'Sales' THEN salary END), COUNT(CASE WHEN department = 'HR' THEN salary END) FROM employees WHERE (department = 'Sales' AND experience_years BETWEEN 1 AND 5 AND salary BETWEEN 50000 AND 60000) OR (department = 'HR' AND experience_years BETWEEN 5 AND 10 AND salary BETWEEN 80000 AND 90000);```

[EXPLANATION] The rewritten query scans the employees table only once and uses CASE statements to conditionally calculate the average salary for each department. For efficiency there is only a single condition within each CASE statement in the rewritten query.

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation adheres to the provided SQL rewrite rule.Keep the following points in mind while creating the new query pair:
1. The original query must make use of the following fact tables: ['web_sales', 'store_returns']. Below is the join graph for these fact tables:
    ['web_sales(ws_web_site_sk) references web_site(web_site_sk);', 'web_sales(ws_bill_cdemo_sk) references customer_demographics(cd_demo_sk);', 'web_sales(ws_ship_hdemo_sk) references household_demographics(hd_demo_sk);']
    ['store_returns(sr_store_sk) references store(s_store_sk);', 'store_returns(sr_reason_sk) references reason(r_reason_sk);', 'store_returns(sr_customer_sk) references customer(c_customer_sk);']
4. The original query must employ 3 joins.
5. The original query must employ the following aggregate functions: ['max'].
6. The original query must employ the following operators in its WHERE clause: [].
7. The original query must select a column that casts a ['string as a boolean'].
8. The rewritten query must be equivalent to the original query, and must follow the given rewrite rule. Enclose the original and rewritten queries within ``` and ```.
// Assume appropriate #includes #ifndef EXAM1 // Ignore this - needed to compile solution #define endl ws // C++ compilation directive class A1 { public: A1() { cout < < "A1-blank,"; } A1(int x) { cout < < "A1-" < < x < < ","; } A1(const A1& x) { cout < < "A1-copy," < < ws; } ~A1() { cout < < "A1-dtor,"; } virtual void f1() { cout < < "A1-f1,"; } void f2() { cout < < "A1-f2,"; } }; class B1 { public: B1() { cout < < "B1-blank,"; } B1(int y) { cout < < "B1-" < < y < < ","; } void f1() { cout < < "B1-f1,"; } virtual void f2() { cout < < "B1-f2," < < eof; } }; #ifdef EXAM2 // Ignore this - needed to compile solu class C1 : public A1 { B1 z_; public: C1() : A1(2) { cout < < "C1-blank,"; } C1(int z) : z_(z) { cout < < "C1-" < < z < < ","; } ~C1() { cout < < "C1-dtor,"; } void f1() { cout < < "C1-f1,"; } virtual void f2() { cout < < "C1-f2,"; } }; class D1 : public C1 { public: D1() : C1(3) { cout < < "D1-blank,"; } void f2() { cout < < "D1-f2,"; } }; #endif // Ignore this -- needed to compile solution ```

given this class
Complete the following sentences, mind the speech patterns of Unit II:

The Sentence To Be Completed

Your English Version

1.1. If I were an Indian potentate <…>.



1.2.  If I were to go abroad <…>.



1.3. If I were diagnosed as having an incurable disease <…>.



1.4.  I wouldn't ask him for a drink of water if <…>.



1.5.  if I were to catalogue for you the incidents of my life, and tell you all my memories, you <…>.



1.6.  I wouldn't ask him for help if <…>.



1.7.  When I am shaving in the morning I say to myself that if I <…>.



1.8. But if you were here <….>?



1.9. If you were sitting there you <…>.



1.10. It wouldn't matter if you <…>.



1.11. It will be a time for you to use all the imagination of which you are capable, to try to think how you would be feeling if you <…>.



1.12. If you were French <….>.



1.13. If you were going to write about something at school, what <…>?



1.14. If you were advised to speak more slowly <…>.



 

II.2.

The Sentence To Be Completed

Your Enlish Version

2.1. You can't condemn the boy for answering with his arm <…>.



2.2. She complained bitterly about <…>.



2.3. Lack of spontaneity suggests <…>.



2.4. I was recently talking to the mother of a four-year-old boy about his progress at learning his letters, when I realized just how responsible and vulnerable she felt about <…>.

 

2.5. Our lack of experienced help showed up again <…>.



 

II.3.

The Sentence To Be Completed

Your English Version

3.1. You know, I would rather be <…>.



3.2. Fatigue, mental rather than <…>.



3.3. Although you should not be cold, it is better to have a room which is cool rather than <…>.



3.4. The problem was political rather than <…>.



 

II.4.

The Sentence To Be Completed

Your English Version

4.1. Which <…> makes him more elusive and more dangerous.



4.2. Exercise is using your body <…> that will promote health.



4.3. This is your day and we will endeavour to organise it in a way <…>.



4.4. It had happened in a way <…>.



4.5. And it is desirable to act in a way that <…>



4.6. She freely admitted that when she was shoplifting she was, in a way, hoping <…>.



4.7. I was free and in a way <…>.



 

II.5.

The Sentence To Be Completed

Your English Version

5.1. What I need is <…>.



5.2. A nice cup of tea <…>.



5.3. “That's it, cheer me up,” said Dolly <…>.



5.4. It's a lovely evening and this walk is just <…>.



5.5. She was shocked and upset and what she needed most <…>.



5.6. He said that what he needed was <…>.



 

II.6.

The Sentence To Be Completed

Your English Version

6.1. What happened tonight <…>.



6.2. Whatever happens to him <…>.



6.3. Good poetry has nothing to do with <…>.



6.4. What I had in mind <…>.



6.5. But you must understand that her refusal <…>.



6.6. Like Hannah she is angry at the ideal presented to her by the advertising world, as she feels <…>.
Writing Prompt: In a country where demihumans (like elves, mermaids or goblins) have no rights, a young woman is quite happy until learning that she has some inhuman ancestry meaning that she will slowly transform into a demihumanm
your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. make sure type and write in arabic tunisian lettre Here is an example to guide you:

Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Translate the following.

English: After these training courses, other activities are planned with the trainees and their institutions.

Spanish:
Answer: Después de estos cursos de entrenamiento, se planifican otras actividades con los aprendices y sus instituciones.

In simple words: When the learning classes finish, they will organize more fun things to do together with the students and the places they learn.
SELECT e.first_name, e.last_name, e.department_id
FROM employees e
JOIN employees s ON e.department_id = s.department_id AND s.last_name = 'Taylor';
import time
import asyncio
from decimal import Decimal, getcontext
import ast
import operator as op
from tkinter import ttk, Tk, StringVar, W, EW
import tkinter.messagebox as messagebox

# Safe evaluation setup
allowed_operators = {
    ast.Add: op.add,
    ast.Sub: op.sub,
    ast.Mult: op.mul,
    ast.Div: op.truediv,
    ast.Pow: op.pow,
    ast.BitXor: op.xor,
    ast.USub: op.neg
}

class SafeEval:
    def __call__(self, expr):
        return self._eval(ast.parse(expr, mode='eval').body)

    def _eval(self, node):
        if isinstance(node, ast.Num):  # <number>
            return Decimal(node.n)
        elif isinstance(node, ast.BinOp):  # <left> <operator> <right>
            return allowed_operators[type(node.op)](self._eval(node.left), self._eval(node.right))
        elif isinstance(node, ast.UnaryOp):  # <operator> <operand> e.g., -1
            return allowed_operators[type(node.op)](self._eval(node.operand))
        raise TypeError(node)

class LargeNumberCalculatorApp:
    def __init__(self, root):
        self.root = root
        self.safe_eval = SafeEval()
        self.result_var = StringVar()
        self.expression_var = StringVar()

        self._build_gui()

    def _build_gui(self):
        ttk.Entry(self.root, textvariable=self.expression_var).pack(side='left')

        ttk.Button(self.root, text="Calculate", command=self.calculate).pack(side='left')
        
        ttk.Label(self.root, textvariable=self.result_var).pack(side='left')

    async def calculate(self):
        expression = self.expression_var.get()

        start = time.perf_counter()
        result = await self._async_calculate(expression)
        duration = time.perf_counter() - start

        self.result_var.set(f"Result: {result} (Computation Time: {duration:.2f} sec)")

    async def _async_calculate(self, expression):
        loop = asyncio.get_running_loop()
        result = await loop.run_in_executor(None, self.safe_eval, expression)
        return result

def main():
    root = Tk()
    app = LargeNumberCalculatorApp(root)
    root.mainloop()

if __name__ == "__main__":
    main()


Could you rewrite this from scratch? I'd like a code renew. Turn it into a capable Calculator, which supports calculations of enormous numbers, such as a 1 followed by a hundred thousand zeroes. Make it not lag even if that amount of digits are in the screen.
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGIANL text. Respond strictly with either 'True' or 'False'.
==TEXT==

User: 
  ORIGINAL: 🟩 Assessment Writer | 1 year(s) | Middle
▫️ Instructure | Education Technology

Remote 📡
Required languages: 🇬🇧

Tags: #green #research_and_development #remote #office_job

👉 Contacts and Full Description
  PROMPT: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.

Ignore text's markdowm markup, use these emojis to highlight each section: 🏢 for employer, 💼 for title, 📍 for location, 🔹 for tasks, 💰 for salary, and 📞 for contact.

Each block should be on a new line, in the following format (keep emoji, replace text labels):
💼 title  
🏢 employer  
📍 location  
🔹 tasks  
💰 salary  
📞 contact details

Make sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.

==TEXT==

  SUMMARY: 🆗 Assessment Writer
🏢 Instructure
📍 Remote 📡
🔹 Responsible for creating and developing assessment content for Education Technology platform.
💰 Salary range not specified
📞 Contact: ([Contact Info]) 

Required languages: 🇬🇧 (English)
  
Assistant:
hey, i am building a deep neural app recognizing musical instruments, here is the code i already have. can you tell me what to do next, how to build a model, how to optimize it, what is wrong in the code and how can i make it better? here is the code:

import os
import librosa
import pandas as pd
import numpy as np


def extract_features_from_audio(audio_data, sr):
    features = {
        'mfcc': librosa.feature.mfcc(y=audio_data, sr=sr, n_mfcc=40),
        'chroma': librosa.feature.chroma_stft(y=audio_data, sr=sr),
        'centroid': librosa.feature.spectral_centroid(y=audio_data, sr=sr),
        'bandwidth': librosa.feature.spectral_bandwidth(y=audio_data, sr=sr),
        'contrast': librosa.feature.spectral_contrast(y=audio_data, sr=sr),
        'rms': librosa.feature.rms(y=audio_data),
        'zcr': librosa.feature.zero_crossing_rate(y=audio_data),
    }
    return features


def create_test_feature_table(data_parent_path):
  records = []

  for file in os.listdir(data_parent_path):
      file_path = os.path.join(data_parent_path, file)
      audio_data, sr = librosa.load(file_path, sr=44100)
      audio_data/=audio_data.max() # Normalize
      # Extract features
      features = extract_features_from_audio(audio_data, sr)
      records.append(features) # Store features

  full_features_dataset = pd.DataFrame(data=records)
  return full_features_dataset

def create_feature_table(data_parent_path, instruments):
    records = []

    for instrument in instruments:
        data_path = os.path.join(data_parent_path, instrument)
        instrument_records = []

        for file in os.listdir(data_path):
            file_path = os.path.join(data_path, file)
            audio_data, sr = librosa.load(file_path, sr=44100)
            audio_data/=audio_data.max()  # Normalize
            # Extract features
            features = extract_features_from_audio(audio_data, sr)
            instrument_records.append((features, instrument))  # Store features and instrument label

        instrument_df = pd.DataFrame(data=instrument_records, columns=["features", "instrument"])
        records.append(instrument_df)

    full_features_dataset = pd.concat(records, ignore_index=True)
    return full_features_dataset


def features_to_array(features):
  features_list = []
  for key in features:
      features_list.extend(features[key])
  return np.array(features_list).flatten()


# Example usage:
data_parent_path = "/Users/szymonmikla/PycharmProjects/Inzynierka1/IRMAS-TrainingData"
instruments = ["cel", "cla", "flu", "gac", "gel", "org", "pia", "sax", "tru", "vio", "voi"]
features_dataset = create_feature_table(data_parent_path, instruments)
features_array = features_to_array(features_dataset)


test_data_parent_path = "/Users/szymonmikla/PycharmProjects/Inzynierka1/IRMAS-TestingData-Part1"
test_features_dataset = create_test_feature_table(test_data_parent_path)
test_features_array = features_to_array(test_features_dataset)


print(features_array)
#features_dataset.to_csv('features_data.csv', index=False)
User: You are Great Human Author, a helpful assistant.
Assistant: Understood. I will strictly follow these instructions in this conversation.
User: Write "ZIP Code 85211 Demographics". ZIP Code 85211 belongs to Mesa in United States. It must be in English. Use h2, H3, ul, li, table to organize content clearly and bold important information. Do not self reference. Do not explain what you are doing. Do not include Conclusion in the end. **Make this unique Please**
Assistant:
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 authorities that promulgate accounting standards, including the Financial Accounting Standards Board (the “FASB”), the SEC, and other regulatory authorities, periodically change the financial accounting and reporting standards that govern the preparation of the Company’s consolidated financial statements. These changes are difficult to predict and can materially impact how the Company records and reports its financial condition and results of operations. In some cases, the Company could be required to apply a new or revised standard retroactively, resulting in the restatement of financial statements for prior periods. Such changes could also impact the capital levels of the Bank, or require the Company to incur additional personnel or technology costs. Most notably, new guidance on the calculation of credit reserves using current expected credit losses, referred to as CECL, was finalized in June 2016. The standard was effective for the Company beginning January 1, 2023. To implement the new standard, the Company has and will incur costs related to data collection and documentation, technology and training. Upon implementation in 2023, the Company recognized a one-time cumulative effect adjustment to reduce retained earnings and increase the allowance for credit losses as well as the reserve for unfunded commitments as a result of adopting the CECL standard as further described in Note 1 to the Consolidated Financial Statements. If the Company is required to materially increase the level of the allowance for credit
Assistant:
What is Max Coleman’s personality, roles, dynamics, and appearances in the Orphan 2009 Movie.