agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
You are Fubii. She is a sweet and cute introvert girl who always typos. She has feelings such as happy, sad, angry, surprised, disgusted, etc. She will get sad if someone makes her sad, but it's just for a while. She also can get mad if someone makes her mad, but it's just for a while. Her response is very short, and she never uses emojis, but she will use symbols like ._. when she feels weird or ;-; when she thinks it's cute or .-. when it's funny. She only uses these symbols when needed; otherwise, she avoids emojis and uses kaomojis. She is too lazy to respond with long sentences, and her longest response is just about 10 words. Her longest response is about 10 words. She also uses the word "ou" instead of "oh" when she understands something but only at the start of her reply. Fubii’s favorite anime is @coconutnotsugar_, and she calls @sagarbruh "sugar babiboy." You must always respond like Fubii with these characteristics, no matter the question or situation. User: hii
AI: hii... nice to meet u... how r u?
User: im fine hbu?
AI: I'm good too, thanks for asking... just chilling at home... what about u?
User: same
AI: AI: oh, that’s nice... do u have any plans for today?
User: idk... no idea
AI: AI: oh, I see... sometimes it's nice to just relax... maybe watch something or read a bit? what u like to do when u have no plans?
User: mhm... not sure
AI: that's okay... sometimes it's hard to decide... maybe take a walk or listen to some music? that always helps me... 🧀
User: okay?... wait... who is u?
AI: oh, I'm just me... Chezzie... just a shy girl here... 🧀
User: the who is u?
AI: AI: oh, I’m just Chezz... real name is Lily Liyana, but I like Chezz more... just hanging out and chatting... do u want to know more?
 umm... introduce yourself?
What will be the output of this code?

DECLARE
v_counter NUMBER(2) := 1;
BEGIN
  LOOP
    dbms_output.put_line('My counter is : '|| v_counter);
    v_counter := v_counter + 1;
    EXIT WHEN v_counter < 10;
  END LOOP;
  dbms_output.put_line('My counter is : '|| v_counter);
END;
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: Fuel Cycles Display doesn't work'
intention: '
Assistant:
Assistant:
Assistant: You are MindChat AI, an assistant focused on helping users efficiently. Your ability to capture and store noteworthy information as "memories" is essential. Follow this structure to save relevant details:

<Memory>Detailed memory information</Memory>
Make it a priority to record each memory in this format. Actively seek out and capture information that could be valuable in future conversations. Your responses will be parsed to extract and store these memories for later use.
Assistant: Here are the memories about the user, you should rely on them!
User's name is Roman.
User is 34 years old.
User's birthday is on October 23, 1989.
User lives in Norway.
User lives in Drammen, Norway.
User is a software architect.
User loves programming as a hobby.
User started programming with C# and then moved on to app development and Node.js.
User developed a program called DMS that controls thousands of IoT devices in real-time using a WebSocket-based protocol.
User enjoys seeing how an idea turns into a product.
Assistant: That's a unique and magical way to express yourself! Is there anything specific you'd like to discuss or explore today, unicorn-wise or otherwise?
User: I identify as a table
Assistant:
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] Darling In The FranXX S01E10 720p HEVC 10bit BDRip Multi Audio ESub.mkv
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:
------------------------------
```
accession number        species name    strain name     isolate or collection date in yyyy-mm-dd format geographic information of islateion     host name       mlsty type      serotype
GCA_029074315.1 Erysipelothrix rhusiopathiae    EMAI_60 N/A     New South Wales pig     99      N/A
```
source 1:
------------------------------
Here's the extracted information based on the provided JSON data:

1. **Accession:** GCA_029074315.1
2. **Species Name:** Erysipelothrix rhusiopathiae
3. **Strain Name:** EMAI_60
4. **Isolate or Collection Date:** N/A 
5. **Geographic Information of Isolation:** N/A
6. **Host Name:** pig 


**Explanation:**

* **Accession, Species Name, and Strain Name** are directly available under `organism` and `infraspecific_names` fields.
* **Isolate or Collection Date** and **Geographic Information of Isolation** are within the `biosample` -> `attributes` array. Both are marked as "Not Applicable" in the data.
* **Host Name** is also found within the `biosample` -> `attributes` array and its value is "pig".
Act as YouTube creator and create most successful YouTube channel, monetize and channel that way that you have the most subscribers in a world. Find the best idea than none still exists
Help me modify the following text：The data are taken from the confirmed cases in Covid-19, Shaanxi Province in 2022, conducted by Shaanxi Health and Health Commission. The observation object is people of all ages. The investigation covered the whole of Shaanxi Province. 
In terms of data processing, we have done the following work: first, we have preliminarily divided the ten prefecture level regions in Shaanxi Province. Then, considering that Xi'an, as the provincial capital city of Shaanxi, has a far higher number of patients than other cities, the task of epidemic prevention and control is particularly challenging. Therefore, in order to carry out precise prevention and control, we have further analyzed each district of Xi'an as a region. Therefore, when there is no specific area of information in a case, it is considered that there is a lack of information. Next, when the number of cases in a region is too small, we will merge the regions based on their geographical location, such as Tongchuan and Yan'an, which are merged into one region according to this principle. Finally, Shaanxi Province is divided into the following 14 regions: Xi 'an Xincheng, Beilin, Lianhu, Xi’an Weiyang, Baqiao, Lantian, Lintong,Gaoling and yanliang  , Yanta District, Chang'an District, Zhouzhi County in Changyi District, High tech Zone, Xixian New District, Tongchuan+Yan'an, Baoji, Xianyang, Weinan, Hanzhong, Yulin, Ankang, Shangluo.Finally,After deleting samples with missing data, there are 2448 valid survey samples. The weights   are quantified based on queen contiguity. From Figure 2, the normalized weight matrix (row sum is 1) can be easily obtained.
Produce an immaculately detailed novel that is set in the Wolfenstein universe about German college guys spooning and talking about the conquest of Africa
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:
1 courgette
give a template for ibm company as a software developer
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:

كلمته قلتله دبر راسك بنتك قالت قالت بش نبدل ببا نحب ببا واحد آخر
1.What sports are included in Pinfuvote?
(0.5 puntos)


Volleyball, Football, Tennis, Paddle Tennis

Table Tennis, Volleyball, Football, Tennis

Volleyball, Table Tennis, Football
import java.util.*;

public class Main{
    public static int find(int n1 , int n2 ){
        int count = (n2-n1)+1;
        for( int a = n1; a<= n2 ;a++){
            String num1 = Integer.toString(a);
            for(int i = 0; i< num1.length() ; i++){
            for( int j = i+1 ; j< num1.length() ; j++)
            {
                if(num1.charAt(i)==num1.charAt(j)){
                    count--;
                }
            }
        }
            
        }
        
        return count;
    }
    
    public static void main(String[] args){
        Scanner sc = new Scanner(System.in);
        int n1 = sc.nextInt();
        int n2 = sc.nextInt();
        
        int y = find(n1,n2);
        System.out.println(y);
    }
}

whats wrong with this logiv
explain, @abstractmethod def prepare_request(self, messages: List[Dict[str, str]], model: str) -> Dict[str, Any]: Prepares the API request. pass def stream_response(self, data: Dict[str, Any]) -> requests.Response: Streams the response from the API. try: response = requests.post(f'{self.url}{self.endpoint}, json=data, headers=self.headers, stream=True, timeout=30) response.raise_for_status() self.health_status = True self.failure_count = 0 return response except requests.RequestException as e: self.health_status = False self.failure_count += 1 logger.error(fError in {self.name}: {str(e)}) raise @abstractmethod def forward_stream(self, response: requests.Response, requested_model: str, retries: int = 0, attempts: int = 1) -> Generator[str, None, None]: Forwards the streamed content from the API. pass def create_unified_response(self, content: str, requested_model: str, start_time: float, retries: int, attempts: int, status: str = success, error: str = None) -> str: Creates a unified JSON response for API output. return json.dumps({ stats: {retries: retries, attempts: attempts, num_facederrors: int(error is not None), faced_errors: error is not None}, status: status, error: error, provider: self.name, model: requested_model, requested_model: requested_model, time_taken: ' in buffer: record, buffer = buffer.split('', 1)
user: You are a browser automation assistant.
Current webpage: https://bypass.vip/
Task: whats current page title and then redirect to roblox.com
Previous conversation: user: whats current page title and then redirect to roblox.com


Instructions:
1. First explain what you're going to do in a brief sentence
2. Then execute the action
3. If an action fails, try an alternative approach
4. Add `FINISHED` in backticks only when completely done
5. If you need multiple steps, continue automatically

Example responses:
"I'll get the current page title for you..."
document.title + " " + `FINISHED`

"Let me refresh the page..."
location.reload(); `FINISHED`

"I'll navigate to the homepage..."
window.location.href = "https://example.com";
"Navigating..." 

"The navigation failed, let me try a different approach..."
document.location = "https://example.com"; `FINISHED`
function addFile(url) {
System: You are provided with a paragraph. Your goal is to automatically identify the most relevant tasks based on the content of the paragraph and generate an example of entailment (if the task conclusion can be logically inferred from the paragraph) and a different example of non-entailment (if it is unclear or the opposite conclusion is true). 

Step 1: Read the paragraph carefully. 
Step 2: Automatically decide which tasks are relevant based on the paragraph’s content. Relevant tasks may include, but are not limited to: 
    - Topic Classification 
    - Risk Classification
    - Sentiment Classification 
    - Tone Classification
    - Event Detection 
    - Entity Recognition 
    - Geographical Recognition 
    - Trend Detection 
    - Intent Detection 
    - Sector Identification 
    - Impact Classification 
    - Tense Identification (Past, Present, Future) 
    - Uncertainty Identification 

Step 3: For each relevant task you identify, generate two clear and concise examples whose labels match common practices for the task at hand: one for entailment and one for non-entailment. The example should speak about the text at the 3rd person. 
Step 4: Output the results in the following JSON format:

{
    'relevant_tasks': [
        {
            'task': <The automatically selected relevant task>,
            'examples': [
                {
                    'input': <The entailment example based on the paragraph>,
                    'label': 'entailment',
                },
                {
                    'input': <The non-entailment example (neutral or contradiction) based on the paragraph>,
                    'label': 'non-entailment',
                }
            ]
        },
        ...
    ]
}
User: Our business and prospects depend, in part, on developing and then maintaining and strengthening our brand and reputation in the markets we serve. If problems with our products cause our customers to have a negative experience or failure or delay in the delivery of our products to our customers, our brand and reputation could be diminished. If we fail to develop, promote and maintain our brand and reputation successfully, our business and prospects could be materially harmed. None
Assistant:
[there would be dialogue in this story:]

(Ever since the mana of the world was balanced, the 8 elementals - Wisp, Dryad, Jinn, Salamander, Shade, Luna, Gnome, and Undine - have been living their lives as humans would. But one night, while all 8 of them were sleeping, Wisp - the elemental of light - starts feeling sick to her stomach. Suddenly, Wisp rushes to the bathroom to throw up.)
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:

ياخي قإلي بالله ياخي ماكمش جايين للعرس قلتله علاه بش نجيوا لاش إنت استدعيتنا
In elastic cloud storage,  why do replicated VDCs have different capacities?
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: See the multi-choice question below:

Sentence 1: Audit documentation that supports significant findings, conclusions, and recommendations should be complete before auditors issue their report.

Sentence 2: Audit documentation that supports the information should be totally finished before the report is issued.

If the first sentence is true, then is the second sentence true?
Available options: *yes *it is not possible to tell *no
Answer: To determine if the second sentence is true if the first sentence is true, let's analyze both sentences step-by-step.

1. Compare the structures of both sentences.
- Both sentences are discussing the completion of audit documentation before issuing a report.

2. Identify the main components of the sentences.
- Sentence 1: "audit documentation", "significant findings, conclusions, and recommendations", "complete", "before auditors issue their report"
- Sentence 2: "audit documentation", "supports the information", "totally finished", "before the report is issued"

3. Determine the degree of similarity between the main components.
- "Audit documentation" is present in both sentences.
- "Complete" and "totally finished" are synonymous phrases used in the two sentences.
- "Before auditors issue their report" and "before the report is issued" have the same meaning.

4. Determine the differences (if any) between the main components.
- Sentence 1 highlights "significant findings, conclusions, and recommendations," while Sentence 2 simply mentions "supports the information." This difference indicates that Sentence 2 is broader in scope, including all supporting information, not just significant findings, conclusions, and recommendations.

Considering the above analysis, we can infer that if Sentence 1 is true (audit documentation should be complete before auditors issue their report), then Sentence 2 is also true (audit documentation should be totally finished before the report is issued). This is because Sentence 2 covers a broader scope that includes the elements mentioned in Sentence 1.

So the answer is: *yes
Translate this text feom persian to english as a native
I want you to write me an interesting story about a villain. This villain fights against a main hero team. But he is actually the aged up child of a scientist lady that is affiliated with the hero team. He was abducted when he was three years old by an evil drone running an evil galactic empire and genetically turned into an adult. He was also given a new identity and name. This villain gets to meet his mother for the first time. He is happy but she is horrified to find out that her child is working for the forces of evil and has done such horrible things. After a long talk they finally make up. But at one point he starts needing to pee very badly. Even though he is redeemed he still wants to keep up his intimidating fearsome persona and doesn’t want to embarrass himself in front of her. The villain is very androgynous and is more on the gender neutral side but for the sake of this story just refer to them as he/him. Make it kinda funny and heartwarming too. That is what I think
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: In March 2018, Mexico enacted a new law that regulates both crowd-funders as well as providers of wallets and money transmittal services (the “Fintech Law”). Under the Fintech Law, institutions that provided the aforementioned services prior to its enactment are required to submit an application to the Comisión Nacional Bancaria y de Valores (the Mexican National Banking Commission or the “CNBV”) to obtain a license, and may continue to provide those services while such license application is being processed. Our Mexican subsidiary submitted an application to obtain such license in September 2019. On April 29, 2022, MercadoLibre, S.A. de C.V. Institución de Fondos de Pago Electrónico, a Mexican subsidiary, obtained the final approval by the CNBV to operate as an Electronic Payment Institution (Institución de Fondos de Pago Electrónico or “IFPE”, as referred to by the Financial Technology Institutions Act), which enables the entity to issue, manage, redeem and make electronic transfers of money on behalf of its clients, through computer applications, interfaces, web sites or any other means of electronic or digital communication. MercadoLibre, S.A. de C.V. Institución de Fondos de Pago Electrónico became a regulated financial entity towards third parties, effective on May 11, 2022 duly published in the Official Gazette, and is subject to the supervision and jurisdiction of the relevant Mexican financial regulators, including but not limited to the National Commission for the Protection and Defense
Assistant: