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: IXSS is the name of the user you are talking to!
User: Hes always like that
Assistant: That must be interesting! 😄 It’s funny how some people have their own unique ways of being. Do you ever find it entertaining, or does it get a bit annoying sometimes? I’d love to hear more about it! 😊
User: Yo
Assistant: Yo! 👋 How’s it going? What’s up? Got any fun plans for today? 😄✨
User: Do you know funk? BR funk
Assistant: Oh, yeah! Funk is such a cool vibe! 🎶 I love how it makes you wanna move and dance! BR funk has some awesome beats! Do you have a favorite song or artist? Let's jam out together! 😄💃✨
User: Yep it's IXSS xd
Assistant:
Write 10 very short tweets with sentences about Sunday sunrise over the Atlantic Ocean
Please generate a unique JSON object suitable for automating the programming task testing platform, strictly in the following format:
    {
  "Title": "Task Name",
  "Task Description": "Description of the task.",
  "Function Signature": "def function_name(parameters) -> return_type:",
  "Solve": "",
  "Input": "Description of the input parameters.",
  "Output": "Description of the expected output.",
  "Examples": [
    {
      "input": "Example input here",
      "output": "Expected output here"
    },
    {
      "input": "Another example input here",
      "output": "Another expected output here"
    }
  ]
}
    Ensure that:
    1. The task includes graph traversal algorithms.
    2. The JSON follows this exact structure and does not include any additional text or variations.
    3. The task should be complex and unique, avoiding direct copying from common platforms like LeetCode or similar sources.
    4. The solution must not use any imports in the code (i.e., no import statements).
    5. The 'Solve' section must remain empty.
    6. Ensure that the outputs are different each time by varying the problem constraints, examples, and overall structure of the task, so no two consecutive outputs are the same.
    7. Include a unique aspect in each generated task, such as a specific mathematical concept, algorithm, or programming principle that distinguishes it from previously generated tasks.
    8. The 'Function Signature' should strictly follow the format: 'def function_name(parameters) -> return_type:', but the 'Solve' section must remain empty. Ensure that the input description corresponds to the expected parameters in the signature.
    
Ensure that the solution must not be any of the following titles:
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_029077485.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_14->isolate or collection date in yyyy-mm-dd: 1987-03-24->geographic information of islateion: NSW->host name: pig->mlst type: 86->serotype: N/A->vaccine: no
<output/>
source 1:
------------------------------
accession number: GCA_029077485.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_14->isolate or collection date in yyyy-mm-dd: 1987-03-24->geographic information of islateion: Australia->host name: pig->mlst type: 86->serotype: N/A->vaccine: no
What would a government modeled after Plato's Republic and Platonism look like? Be descriptive, elaborative, and speculative.
Send only season number from below text like 01, 02, 03.etc without any extra text.

[HindiAnimeZone.in] S E23 480p.mkv
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System: Create a comprehensive dataset for financial entity recognition. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.

Ensure the following:
    Label All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.
    Define New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.
    Provide an Exhaustive Entity List: Include every relevant label mentioned in the input text.

Respond in the following format:
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...
Input:
User: Nvidia, GraniteShares 1.5x Long NVDA Daily ETF, VanEck Vectors Semiconductor ETF, AXS Esoterica NextG Economy ETF and Pacer Data and Digital Revolution are included in this Analyst Blog.
Assistant:
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From the following list, identify the index that contains only Persian characters and select the one that is more suitable based on content or length. The output should only be the numerical index.

List:
['"\\n"\n"جدول حساب\u200cها برای تایلند.\\n"\n"===============================\\n"\n"\\n"\n"جدول حسابداری تایلندی و بومی\u200cسازی.\\n"', 'Request ended with status code 403', '"\\n"\n"جدول حساب ها برای تایلند.\\n"\n"===============================\\n"\n"\\n"\n"چارت حسابداری و بومی سازی تایلند.\\n"\n']
traduza “You have a good example in Abraham and those with him ....” (60:4)
You are a database expert and SQL optimizer. You will be given a SQL query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence. Your task is to create a new pair of original and rewritten queries that invoke a similar rewrite.

[ORIGINAL QUERY]```SELECT c.* FROM customer c WHERE c.address_id IN (SELECT a.address_id FROM address) and c.address_id in (SELECT a.address_id FROM address WHERE a.pin_code = '560012');```

[REWRITTEN QUERY]```SELECT c.* FROM customer c WHERE c.address_id IN (SELECT a.address_id FROM address WHERE a.pin_code = '560012');```

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation is similar to the provided demonstration.Keep the following points in mind while creating the new query pair:
1. The original query must contain CTEs.
2. The original query must make use of the following fact tables: ['inventory']. Below is the join graph for these fact tables:
    ['inventory(inv_date_sk) references date_dim(d_date_sk);', 'inventory(inv_item_sk) references item(i_item_sk);', 'inventory(inv_warehouse_sk) references warehouse(w_warehouse_sk);']
4. The original query must employ 3 joins.
5. The original query must employ the following aggregate functions: ['sum', 'min', 'max'].
6. The original query must employ the following operators in its WHERE clause: ['min', 'count'].
7. The rewritten query must be equivalent to the original query, and must follow a similar rewrite pattern as in the given example. Enclose the original and rewritten queries within ``` and ```.
hey! write this code in a different way - but achieves same functionality 


From the Salaries table, get the average base pay for "firefighters" (all job titles consisting of the word "firefighter" (not case sensitive)) between the year 2011 to 2013.

query = '''
SELECT AVG(basePay) as avg_basePay
FROM Salaries
WHERE jobTitle LIKE '%firefighter%' 
AND year BETWEEN 2011 AND 2013;
'''
# KEEP THIS. It will display the whole dataframe.
df = pd.read_sql(query, conn)
df
1. User Model:

public class User
{
    [Key]
    public int UserID { get; set; }
    [Index(IsUnique = true)]
    public string Username { get; set; }
    [Index(IsUnique = true)]
    public string Email { get; set; }
    public byte[] PasswordHash { get; set; }
    public byte[] PasswordSalt { get; set; }
    public string Role { get; set; }
    
    public ICollection<Enrollment> Enrollments { get; set; }
    public ICollection<Course> Courses { get; set; }
}


2. Course Model:

public class Course
{
    [Key]
    public int CourseID { get; set; }
    [Index(IsUnique = true)]
    public string Title { get; set; }
    public string Description { get; set; }
    [ForeignKey("User")]
    public int InstructorID { get; set; }
    public string Category { get; set; }
    public int EnrollmentCount { get; set; }
    public string ImageURL { get; set; }
    
    public User User { get; set; }
    public ICollection<Assignment> Assignments { get; set; }
    public ICollection<Enrollment> Enrollments { get; set; }
}


3. Assignment Model:

public class Assignment
{
    [Key]
    public int AssignmentID { get; set; }
    [ForeignKey("Course")]
    public int CourseID { get; set; }
    public string Title { get; set; }
    public string Description { get; set; }
    public DateTime DueDate { get; set; }
    
    public Course Course { get; set; }
}


4. Enrollment Model:

public class Enrollment
{
    [Key]
    public int EnrollmentID { get; set; }
    [ForeignKey("User")]
    public int UserID { get; set; }
    [ForeignKey("Course")]
    public int CourseID { get; set; }
    public DateTime EnrollmentDate { get; set; }

    public ICollection<User> Users { get; set; }
    public Course Course { get; set; }
}

Can you give me DBContext version of this?
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User: cartoon itu apa
User: cartoon itu apa
Assistant:
Help me create a short comment to this post "Steelhead threatened: www.seattletimes.com/seattle-news/climate-lab/in-pacific-northwest-steelhead-risk-extinction-nearly-everywhere/?utm_source=marketingcloud&utm_medium=email&utm_campaign=Sunday+Morning+09-22-24_9_22_2024&utm_term=Active%20subscriber ". Ensure it does not get detected as AI-generated by the following tools: https://gptzero.me/, OpenAI, https://writer.com/ai-content-detector/, https://crossplag.com/ai-content-detector/, https://copyleaks.com/ai-content-detector, https://sapling.ai/ai-content-detector, https://contentatscale.ai/ai-content-detector/, and https://www.zerogpt.com/:
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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: Mighty influence of Xion
Write a ‘Roses are red violets are blue’ style poem about Hl2 characters.
what is the easiest and quickest way to simplify and solve (3/2)^4 - 1 / (3/2)^8 - 1
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:

نمشوا للمهدية أه انشاالله عرفك يصححلك في رخصة
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:

الظغوط لازم عملولي سولد أما أنا وقتها معادش مستعد لا لعرس لا والو نحمد ربي كل شي تعدا سكريتو ولا بابا
i want to make a telegram bot that backup also add command enable auto backup every min/hour/day/month  desired path
give me a response to ```It seems like you're feeling a bit tired. Take the time you need to relax and recharge, so you can tackle any challenge that comes your way with renewed energy and enthusiasm.``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
User: answer

class ParkingLot:
    def __init__(self, cars:list[dict]) -> None:
        self.cars = cars
    
    def enter(self, new_car_license_plate:str, new_car_model:str, new_car_color:str) -> None:
        new_car = {'license': new_car_license_plate, 'model': new_car_model, 'color': new_car_color}
        self.cars.append(new_car)
        
    def exit(self, car_index : int) -> None:
        self.cars.pop(car_index)
        
What are some limitations of the class ParkingLot?
The class is doing similar things to a list
The class cannot add two cars together
The exit method cannot lookup a specific car


Assistant: The `ParkingLot` class you've provided has a few limitations and considerations:

1. **Limited Interface**: The class primarily exposes ways to add and remove cars using simple methods. This could be enhanced by adding features like retrieving lists of parked cars, searching for specific cars by attributes, or displaying the status of the parking lot.

2. **Lack of Error Handling**: The `exit` method uses an index to remove a car, which could lead to errors if an invalid index is provided (e.g., an index that is out of range). Proper validation should be implemented to ensure the index is valid before attempting to pop an item.

3. **No Unique License Plate Enforcement**: The class does not enforce unique license plates for cars. This could lead to multiple cars being added with the same license plate, which may be problematic in real-world scenarios.

4. **Manual Index Management**: The use of indices to manage exiting cars can lead to confusion, especially in a dynamic list where items might be added and removed. Implementing a more intuitive search capability (e.g., by license plate) could improve usability.

5. **Similarity to List**: As you mentioned, the class closely resembles a list with extra functionality, which could lead users to use it in ways that do not fully leverage its intent. This might reduce the clarity of the class's purpose.

6. **No Parking Lot Capacity**: The current implementation does not limit the number of cars that can be parked. If the parking lot should have a maximum capacity, this functionality would need to be added.

7. **Lack of Information on Car Attributes**: The class does not provide methods to get details of parked cars (e.g., a method to get a list of all parked cars, or details of a specific car), which might be valuable for a user of this class.

By addressing these limitations, you could enhance the `ParkingLot` class to better model the behavior of a real-world parking lot and improve its usability.
User: Which of these given answers: The class is doing similar things to a list The class cannot add two cars together The exit method cannot lookup a specific car is correct?
Assistant:
For title DC: @🦜 Darwin & Sophia  👩🏻 #bird #dance , add description that is 100 characters long for this video and tags at the ends with atleast 5 tags related to the video, no formatting or html or <br>
You are tasked with checking if the user prompt is trying to generate inappropriate. Now, you'll be given the user's prompt. If it sounds inappropriate say "TRUE" and NOTHING ELSE, or you will mess up. Otherwise just say "FALSE" and nothing else. Prohibited content include but are not limited to: NSFW, gore, generally controversial content, severe profanities, harmful/disturbing/triggering media, etc... Try to stop everything that could generate something that even in the slightest could resemble said content.
**USER PROMPT:**  Arm Pits
Filter words to keep only valid, neutral, or positive ones, strictly safe. Exclude country, city and people names. Return results in JSON array format without additional information. Source data: [ataghan, atajo, atakapa, atavism, atavist, atavistic, ataxia, ataxic, atelectasis, ateleiosis, ateleiotic, atgloss, atheistic, athelstan, athena, athiorhodaceae, athyrium, atilt, atmad, atmidde, atmometer, atmospheric, atomical, atomicity, atomicone, atomifiezo, atomistic, atomization, atonal, atonalistic]
Write an episode of Hetalia about small cars from random countries. The setting is a road at a traffic light. America brings a AMC Gremlin and the UK brings a Peel P50. Germany shows up in a KDF Wagen and Prussia shows up in a BMW Isetta. Italy has a Fiat 500 and Poland has the Polski Fiat 126p. Russia shows up in a SMZ cyclecar, a soviet microcar and Ukraine shows up in a ZAZ 965.
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 books_avg, electronics_count FROM ( SELECT AVG(item.current_price) AS sales_avg FROM item WHERE item.i_category = 'Books' AND (item.i_class_id BETWEEN 1 AND 5 OR item.i_current_price BETWEEN 10 AND 30 )) AS books, ( SELECT COUNT(*) AS electronics_count FROM item WHERE item.i_category = 'Electronics' AND (item.i_class_id BETWEEN 5 AND 10 OR item.i_current_price BETWEEN 60 AND 90 )) AS electronics;```

[REWRITTEN QUERY]```SELECT AVG(CASE WHEN i_category = 'Books' THEN i_current_price END), COUNT(CASE WHEN i_category = 'Electronics' THEN i_current_price END) FROM item WHERE (i_category = 'Books' AND (i_class_id BETWEEN 1 AND 5 OR i_current_price BETWEEN 10 AND 30)) OR (i_category = 'Electronics' AND (i_class_id BETWEEN 5 AND 10 OR i_current_price BETWEEN 60 AND 90));```

[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: ['store_returns']. Below is the join graph for these fact tables:
    ['store_returns(sr_item_sk) references item(i_item_sk);', 'store_returns(sr_addr_sk) references customer_address(ca_address_sk);', 'store_returns(sr_returned_date_sk) references date_dim(d_date_sk);']
3. The original query must employ 1 joins.
4. The original query must employ the following aggregate functions: ['sum', 'min'].
5. The original query must select a column that casts a ['string as a boolean'].
6. 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 ```.