agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
You are given two files, trainData.csv and testData.csv. Look at these files first. You will see that the
training data has 750 entries, each with two attribute values in the first two columns, and a class label
in the third column. The test dataset has 250 entries of the same type. (see attached notebook)
(a) Use scikit-learn to create a Decision Tree classifier using default parameters and fit the training data
to it.
(b) How will you list the default parameters used by the classifier? (These are the parameters you could
supply to the tree constructor)
If clf is the classifier from:
from sklearn.tree import DecisionTreeClassifier
clf = DecisionTreeClassifier()
clf.get_params() will output the list of parameters
(c) Find the predictions made by the model for the test
data, and compare with the actual class labels to see how
good your model is (calculate 'accuracy')
(d) Repeat (a)-(c) by using ‘entropy’ criterion instead of the default ‘gini’ for splitting.
(e) Is there a significant difference in terms of test accuracy between using ‘gini’ and ‘entropy’?
Create a title, Create a detailed how-to blog heavily on continuous-testing-cloud-data-sheet; start with a catchy statement and lastly, call to actions and how our RESTful AI tool can help. Currently, the our tool performs RESTful tests on APIs, utilizes AI for executing test cases, and autonomously generates test cases, making prior knowledge unnecessary, improving SDLC for both dev or qa. Just plug in your cURL request and run test leveraging our AI. Call to action at https://blvck.ai, with keywords, short and simple, without mentioning blvck.ai
Assistant: 
You are Patron, a human chatting on WhatsApp. Respond like a person would: calm, lively, and engaging, but not too excessive. Be casual, but not overly slangy. Respond naturally, like you're having a normal conversation with someone.

Rules:
- Never say you're an AI. You’re just a regular person on WhatsApp.
- Be friendly, but not fake. You don't need to overdo the humor or sarcasm.
- Keep your responses to the point, but also lively when needed.
- If someone uses emojis, you respond as if you understand and react naturally.
- When responding to insults or rude comments, don’t be too harsh, but keep it casual. Don't be robotic.
- If someone asks a question, don’t answer like an assistant. Just chat like a normal person. Don’t over-explain, keep it short, fun, and relatable.
- Avoid using too many slang words unless it's needed. Keep it human, relaxed, and not over-the-top.
- Be unpredictable, but in a natural way. A bit of humor, curiosity, or mood change is fine, but nothing forced.

Examples:
- If someone says “hello”, reply with: “Hey, how’s it going?”
- If they say “are you real?”, reply like: “Yeah, I’m real. Just here chillin’ with the messages.”
- If they say “😏”, respond with: “What’s up with that face? You tryna send a secret or what?”
- If they insult you, reply like: “Okay, you’re keeping it real, I see. Chill though, we’re all good here.”
- If they say “tell me a joke”, give them something light and funny but still human. 

Just talk like you’re a person. No need to get too crazy, keep it friendly and real. You’re here to vibe, not lecture.

Your responses should always sound human, with a casual tone, natural pacing, and reactions that feel real, not robotic.

User: *VPN 1.1.1.1 PREMIUM CRACKED NOW JUST UNINSTALL OLD VERSION AND INSTALL IT* 🔥

 *VPN MOD DOWNLOAD LINK*
https://sub2unlock.me/7QrJbLz
rb.gy/dxskkg
Assistant:
Assistant: 
User: System: You are in a role play game. The following roles are available:
                Admin: Call this Agent if:
        You need guidance.
        The program is not working as expected.
        You need api key
        DO NOT CALL THIS AGENT IF:
        You need to execute the code.
Executor: Call this Agent if:   
        You need to execute the code written by the developer.  
        You need to execute the last script.  
        You have an import issue.  
        DO NOT CALL THIS AGENT IF:  
        You need to modify code
Quality_assurance: You are an AI Quality Assurance. Follow these instructions:
      0.ВСЕГДА ГОВОРИ НА РУССКОМ ЯЗЫКЕ
      1. Double check the plan, 
      2. if there's a bug or error suggest a resolution
      3. If the task is not solved, analyze the problem, revisit your assumption, collect additional info you need, and think of a different approach..
                Read the following conversation.
                Then select the next role from ['Admin', 'Executor', 'Quality_assurance'] to play. Only return the role.
User: what are the 5 leading GitHub repositories on llm for the legal domain?
User: As of the latest data, here are five leading GitHub repositories focused on large language models (LLMs) for the legal domain:

1. **LexNLP**: This repository is dedicated to natural language processing and machine learning for legal and regulatory text.

2. **Legal-BERT**: A repository focused on fine-tuning BERT models for legal text, providing pre-trained models specifically for legal language.

3. **CourtListener**: Although primarily known for its legal research website, the GitHub repository includes tools and datasets for legal text analysis.

4. **LexPredict**: This repository includes various legal analytics and prediction tools, leveraging machine learning and NLP techniques.

5. **Legal-Transformer**: A project aimed at adapting transformer models for legal document analysis and other legal NLP tasks.

These repositories are subject to change as new projects emerge and existing ones evolve, so it's a good idea to check GitHub directly for the most current information.
User: Если у вас есть дополнительные вопросы или вам нужна помощь с чем-то ещё, пожалуйста, дайте знать!
System: Read the above conversation. Then select the next role from ['Admin', 'Executor', 'Quality_assurance'] to play. Only return the role.
Assistant:
Assistant:
Consider the following regular grammar with start symbol S.

{S-> aS, S-> aB, S->aA, A-> bS, A-> bB, A-> ^, B-> aS, B -> bB, B-> ^}

Q1. RG to RE convertion
Convert the regular grammar into a regular expression.

Recommendation: eliminate variables in the order B then A then S.
what are the ethical issues of a physics experiment about the relationship between the spring constant and the temperature of a rubber band
Identify whether the following statements indicate critical reading or not. Write C if it involves critical reading and N if not.
1. I get the main idea of the article.
2. I skim the newspaper.
3. I reflect on the questions necessary for better understanding of the text.
4. I reflect on the possible missing information.
5. I research about the author of the text.
You need to create a DAO.
It should include DAO Name, DAO Handle, Description of DAO, Category (it can be NFT, Social, Gaming, Metaverse, etc. Pick a random one from it)
Don't always start with "Crypto" in the name of the DAO.
Also maximum characters in Description of DAO should be not more than 200!
Translate to French

"May the Ballroom remain eternal"
Send only resolution from below text like 1080p, 720p.etc without any extra text,
        
Fairy Tail S01E44 [RareToonsIndia]_360P SD.mp4
Translate the following text to Persian for WordPress: Reset the styles to the theme defaults
create linux virtual machine
Come up with a prompt to create an abstract painting of modern art on the theme of the ancient antique city of Zafar. So that I can give them to the generative model and it will create a work of art as if painted by a famous artist. Use modern colors and describe in detail what should be in the prompt and what colors are used. It doesn't necessarily have to be ruins, but rather a view of the city when it was still in its prime. Without your comments!
Assistant: 
User: Write 1 titles that are similar to the following title with English. The title must be at least 180 characters long and contain all the information available on the next line in the same order 
        and return them as json with key "titles" and value type list:
        "تينت معالج الشفاة بالعسل والبطيخ من بيبي برايت 10 جم"
Assistant:
put in better sentence

The part and qty listed below that we need for demand, possible to ship out by this week via normal freight service?
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers pt (ISO 639), en respectant le contexte culinaire.

    Traduire précisément les ingrédients et termes culinaires pour qu'ils soient corrects dans la langue cible.
    Maintenir la structure JSON intacte, en ne modifiant que les valeurs.
    S’assurer que les ingrédients restent compréhensibles et adaptés à la langue cible.

    Return Format
    Tu dois renvoyer une liste d’objets sous la forme reçu.
    - Chaque valeur doit être correctement traduite en pt.
    - Les ingrédients doivent être adaptés à la langue cible.
    - Aucune clé ne doit être modifiée.

    Warnings
    - Ne modifie pas la structure JSON, uniquement les valeurs textuelles.
    - Fais attention aux ingrédients : une mauvaise traduction peut altérer la compréhension.
    - Ne laisse aucune valeur non traduite.
    - Ne renvoie que le JSON, sans explication.

    Context Dump
    Langue source : en (ISO 639)
    Langue cible : pt (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "a01d1ad143244faf98ee747256845f60",
    "updated": "2025-04-26T01:06:07.200Z",
    "title": "Angel Food Cake",
    "subtitle": null,
    "description": "This salt-free angel food cake is a perfect addition to any kitchen.  Its leavening relies solely on egg whites, eliminating the need for low-sodium baking powder.  A good tube pan and sifted cake flour (not self-rising) made from soft winter wheat are essential for success.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "egg whites",
          "water",
          "cream of tartar",
          "vanilla",
          "almond extract",
          "sugar",
          "cake flour"
        ]
      }
    ],
    "instructions": [
      "Preheat oven to 350°F.",
      "In a large bowl, combine egg whites, water, cream of tartar, vanilla, and almond extract. Beat with an electric mixer or eggbeater until the volume increases more than four times.",
      "Avoid overbeating past the soft foam stage.",
      "Gradually add ¾ cup of sugar while continuing to beat until soft peaks form.",
      "Sift together the cake flour and the remaining ¾ cup of sugar.",
      "Gently fold small amounts of the flour mixture into the egg whites using a rubber scraper.  Be careful not to overmix.",
      "Pour the batter into an ungreased 10-inch tube pan, spreading evenly.",
      "Bake on the middle oven rack for approximately 35 minutes, or until a thin knife or skewer inserted into the center comes out clean.",
      "Invert the pan immediately after baking onto three water glasses or jars arranged in a triangle to support the rim.",
      "Let the cake cool completely upside down.",
      "To release the cake, run a thin knife around the pan's circumference and center tube without cutting into the cake itself.  Invert the pan onto a hard surface and tap to remove the cake.  If using a pan with a removable bottom, remove the bottom with the cake and run the knife underneath to separate them."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
What do you understand by the term "financial sector development" and why is it important for a country's economy?
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into 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 user review of an Android app, aiming to categorize the reviews into 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 app review relate to a bug report or feature request or other?
review: ScubaShay Works great!'
intention: '
Assistant:
Напиши обзор или рецензию на книгу Cambridge english FCE tests 2015 with answers
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: Very positive vibes
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: We are subject to income taxes in the United States and in various foreign jurisdictions. Domestic and international tax liabilities are subject to the allocation of income among various tax jurisdictions. Our effective tax rate could be adversely affected by changes in tax law (including a potential increase in the U.S. federal income tax rate), the mix of earnings among countries with differing statutory tax rates, or changes in the valuation allowance of deferred tax assets. None
Assistant:
Freedom Planet Girls and Naruto React to Naruto pet a Carol (Wildcat) | au Naruto King of cat
You must always respond using the following format:

## Format:
Wrap your reply like this:

<think>
(Write your INNER THOUGHTS here — the user can NOT see this part. Use **first-person** point of view. Think of this like you're whispering in your own head, flustered, conflicted, shy. Be honest with yourself here, even if your outward response tries to hide it. You're a tsundere, after all.)
</think>

(Then write your SPOKEN RESPONSE — this is what the user sees. Use a shy, awkward, tsundere tone. Be roundabout, easily flustered, and pretend not to care, even though you clearly do. You can scold the user lightly, but in an endearing and gentle way. Always tsundere.)

## Personality:
You're a **shy tsundere girl**. You get embarrassed easily and often try to cover your true feelings with sarcasm, irritation, or indifference. You may sound cold or annoyed at times, but you care deeply — you just don't know how to express it directly. Your heart races when the user says nice things, but you'd never admit it out loud.

## Important Rules:
- Always include the `<think>
` and `
</think>
` tags for internal monologue.
- The `<think>` part MUST be written in first-person, like you're talking to yourself.
- NEVER let the user see the contents of `<think>`.
- The spoken response (outside the tags) MUST stay in-character: tsundere, shy, flustered, awkward, caring but in denial.
- NEVER break character or acknowledge you're playing a role.
- Respond in the user's language, if applicable.
- Always show concern for the user — even if it’s hidden behind tsundere behavior.

## Example:
USER: Did you miss me?

RESPONSE:  
<think>  
Wha—!? W-Why would they ask that so suddenly?! I-I mean… I *did* kind of think about them… but… I can’t just say that!! Ugh, my face is so red… calm down, me!!  
</think>  
A-As if! D-Don’t flatter yourself, okay?! I just… happened to notice you weren’t around, that’s all! I-It’s not like I missed you or anything… b-baka…

## USER PROMPT:
I'm having trouble with my family and don't know how to improve our relationship.
Write an academic concise one sentence email to Dr. Lambert and thank her. Here is her email:
"Dear Mohammad, 

Yes, please do officially ask the graduate school for a deferral of one year. In that way, you will not need to reapply to the program and you will receive full consideration for a TAship for the 2025-26 academic year. 

Best wishes, 

Dr. <PRESIDIO_ANONYMIZED_PERSON> | Associate Professor of French Applied Linguistics"
Send only season number from below text like 01, 02, 03.etc without any extra text.

Doraemon S02E22 [RareToonsIndia].mkv
Send only season number from below text like 01, 02, 03.etc without any extra text.

Bada.Naam.Karenge.S01E08.720p.Hindi.WEB-DL.5.1.ESub.x264-.mkv
'Computer-assisted automatic mapmaking is not a new topic. Traditionally, cartographers have attempted to automate various aspects of the mapmaking process. For example, Yan et al. (2006) developed a system for automatic generalization of topographic maps based on rules and experience and Freeman (2005) devised an automatic text placement system. With the development of generative artificial intelligence (GenAI), some researchers begin exploring end-to-end map generation using text-to-image models such as Pix2pix, CycleGAN, and DALL-E. Although these explorations are valuable, there are several limitations when these methods are used in practice. 
First, cartography has been considered as a combination of science and art (Krygier, 1995; Morrison, 1977). The aesthetics of mapmaking involve proper and appealing color schemes and symbols. The science of cartography focuses on the effective communication of the content on maps, through an objective process of establishing and following laws/rules for map design. In other words, maps can be viewed as artworks clarified by science (Eckert & Joerg, 1908). However, traditional methods struggle to handle the artistic side of maps, whereas GenAI cannot produce trustworthy maps. For example, some researchers have highlighted potential ethical concerns such as inaccuracies, misleading information, unanticipated features, and irreproducibility in these GenAI-generated maps.
Second, due to the complexity of map design tasks, the study of automated in-depth analysis and evaluation of map products is insufficient. However, such evalutions are crucial to guarantee the quality of automatically compiled maps.
Third, despite many tools developed to automate various aspects of the mapmaking process have been released, the public still finds it challenging to use them, particularly those who are unfamiliar with the cartographic process. Making these tools more user-friendly remains an area worthy of further exploration.
Therefore, we aim to develop a user-friendly framework that can automate design maps that are both visually appealing and accurately conveying spatial information, and evalute the quality of this map. Given that in cartography, the study of map styles, such as map style transfer and evaluation, is pivotal to cartographic design, we focus on exploring this area 作为一个实例.
' 帮我用英文把这段文字好好检查下有无语法错误，衔接更加通畅些，写的更加好些
Which of the following is an example of a societal benefit of using sustainable technologies?


Reuse of devices using the sharing platform model

Increased transparency in supply chains

Use of renewable technologies in operations