agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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: All posts that report on bugs and errors of a software application.
Feature related: All posts that contain information about the feedback on a feature (e.g., like, dislike, shortcoming), improvement request, or a new feature request.
Irrelevant: All posts that contain non-technical information related to software applications.
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: All posts that report on bugs and errors of a software application.
Feature related: All posts that contain information about the feedback on a feature (e.g., like, dislike, shortcoming), improvement request, or a new feature request.
Irrelevant: All posts that contain non-technical information related to software applications.
Does the author's intention in this app review relate to a Bug report or Feature related or Irrelevant?
review: dark mode on ios, just got testflight update. version 19.3.1'
intention: '
Assistant:
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:
1.5 L water,3 tbsp flour diluted in 100 ml cold water,1 tsp turmeric,1 tsp ground ginger,1 tsp cinnamon,1 tsp salt,2 tsp pepper,3 tbsp olive oil
On my raspberry Pi, when i run a command like VLC, it works. But it prevents me from running other things unless i CTRL C. How do I keep vlc running but also run other commands
reerite in paragraph form without headings or categries Clinical Interpretive Summary for Alex

Client Information:
Name: Alex [Last Name]
Age: 12 years old
Diagnoses: Autism Spectrum Disorder (ASD) and Anxiety Disorder

Presenting Concerns:
Alex is a 12-year-old with a primary diagnosis of Autism Spectrum Disorder and a secondary diagnosis of Anxiety Disorder. He exhibits significant difficulty in social situations and has trouble understanding and navigating them. His anxiety, though currently at a manageable level, has historically been severe to the point where he would fabricate excuses to avoid anxiety-inducing situations, such as school presentations.

Developmental History:
Alex experienced a minor delay in walking but met most developmental milestones between ages 1 and 3. At age 3, Alex went through a regression, experiencing increased difficulties in socializing with peers. As an infant, he struggled with self-regulation, which manifested in behaviors such as scratching his arms while in his crib. Although this self-injurious behavior has decreased, he still exhibits avoidant behaviors.

Therapeutic Interventions:
Alex has been receiving Applied Behavior Analysis (ABA) and occupational therapy since age 3, and these interventions have contributed positively to his development. Recently, his pediatrician recommended cognitive behavioral therapy (CBT) to further address his anxiety and improve his coping mechanisms.

Current Functioning:
1. Social Skills: Alex continues to struggle with social interactions and making sense of social cues, requiring ongoing support to enhance his social competence.
2. Anxiety Management: Currently, Alex’s anxiety appears to be at a reasonable level. However, stressful situations can still trigger heightened anxiety responses, indicating a need for continued anxiety management strategies.
3. Coping Skills: While Alex can verbally articulate coping strategies in hypothetical situations, he finds it challenging to apply these skills effectively
Software quality term and concept matching
Привет! Можешь расписать код для создания Telegram бота на Python с помощью pyTelegramBotAPI с использованием паттерна MVC
Send only season number from below text like 01, 02, 03.etc without any extra text.

@SMOfficialUpdates- Serendipity's Embrace S01 Episode 2 DSNP 480p Korean MSub.mkv
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 feeling really anxious about an upcoming job interview. What can I do to calm down?
what is the vlc
can you add a few lines of code to show each row in which cluster?
X = df.values # convert the DataFrame to a numpy array

# Standardize data
scaler = StandardScaler()
X_scaled = scaler.fit_transform(X)

# Apply PCA
pca = PCA(n_components=0.95) # choose the number of components that explain 95% of the variance
X_pca = pca.fit_transform(X_scaled) # transform the data to the lower-dimensional space
print(pca.explained_variance_ratio_) # print the percentage of variance explained by each component
print(pca.n_components_) # print the number of components

# Apply k-means
kmeans = KMeans(n_clusters=3, random_state=42) # choose the number of clusters
y_pred = kmeans.fit_predict(X_pca) # assign each data point to a cluster
print(silhouette_score(X_pca, y_pred)) # print the silhouette score of the clustering

# Count number of cells in each class
class_counts = np.bincount(y_pred)
print(class_counts)

# Visualize the clusters
plt.scatter(X_pca[:, 0], X_pca[:, 1], c=y_pred, cmap='viridis') # plot the data points in the first two principal components and color them by their cluster labels
plt.xlabel('PC1')
plt.ylabel('PC2')
plt.title('PCA and k-means on cell segmentation data')
plt.show()
Giả sử bạn là người dùng của ứng dụng này https://apps.apple.com/in/app/zumee-lockscreen-drawing/id6502684901 và bạn đang feedback cho app như thế này310tôi cần trả lời lại bạn như thế nào băng tiếng anh với tone vui vẻ, tích cực và hy vọng bạn sẽ rating 5 sao chỉ trong 150 ký tự thôi?Thank you for your feedback. We are sorry to hear that you and your friend did not enjoy using Zumee Lockscreen Drawing. We are constantly working to improve our app and will take your comments into consideration to make necessary changes. We apologize for any inconvenience caused and appreciate your honesty.
If loss of hearing isn't the cause of tinnitus, can it be cured?
Create a long detailed text about actress Esther Williams with the following summary. Stick to the information i give you and dont create new information. Focus only on the Subject name and there following Summary. Subject Name: [Retirement & Contribution to Swimming] Summary: [Williams retired from the movies in 1969 to marry llamas who also directed and starred in her last film Magic Fountain in 1963 Along with her International stardom Williams should be credited for her significant role in the United States boom in swim Athletics and the sales of pools and swimsuits her films popularized synchronized swimming and competitive swimming inspiring countless young girls to take up the sport]

        Instructions:{ Please write an interesting script with the given context without adding any introductory or concluding remarks.
        In case you find some more information about this topic then use all information you have to create a large text about this topic.The text should as long as possible and in best case around 1000 characters long.
        Ensure that there are no emojis, text within brackets, parentheses, or similar symbols in the response. 
        Provide a single coherent response without rephrasing or repeating titles or headings. Avoid enumerations or bullet points. 
        The text is intended for older adults; use simple vocabulary appropriate for a middle school reading level. Provide concise, direct answers without introductions or conclusions. 
        Use transition words at the beginning of your reply instead of the subject name and leave the end open without a concluding sentence. 
        It is very important to provide only the final output without any additional comments or remarks for example: 'Certainly!' Here's the revised text.
         
        Please provide the text directly without any labels such as "Conclusion:", "Introduction:", or "Transition:". Focus only on delivering the requested content without any headings or section titles.
        Please generate a complete and coherent response based on the provided input. Ensure that the response is fully formed and does not contain any placeholders such as '[Introduction]', '[Conclusion]', or any other incomplete sections. 
        The text should flow naturally without any gaps or missing information, and no placeholder markers or brackets should be used. 
        Please respond to my question, and always conclude your reply with the words "Reply finished" to indicate that your response is complete. 
        Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.}
التشكيلة الرسمية للمنتخب المغربي ضد إفريقيا الوسطى
in the beginnig add emojies of flags of these countries
I used this code: def signal_generator(df):
    if df is None:
        return ''

    candle_analysis = []
    ema_analysis = []
    
    # EMA strategy
    df['EMA50'] = df['Close'].ewm(span=50, adjust=False).mean()

    if (
        df['Close'].iloc[-1] > df['EMA50'].iloc[-1] and
        df['Close'].iloc[-2] < df['EMA50'].iloc[-2]
    ):
        ema_analysis.append('golden_cross')

    elif (
        df['Close'].iloc[-1] < df['EMA50'].iloc[-1] and
        df['Close'].iloc[-2] > df['EMA50'].iloc[-2]
    ):
        ema_analysis.append('death_cross')

    # Candlestick analysis
    df['Body'] = df['Close'] - df['Open']
    df['Range'] = df['High'] - df['Low']
    df['UpperShadow'] = df['High'] - df[['Close', 'Open']].max(axis=1)
    df['LowerShadow'] = df[['Close', 'Open']].min(axis=1) - df['Low']
    
    df['BullishEngulfing'] = (df['Body'] > 0) & (df['Body'].shift() < 0) & (df['Open'] < df['Close'].shift())
    df['BearishEngulfing'] = (df['Body'] < 0) & (df['Body'].shift() > 0) & (df['Open'] > df['Close'].shift())
    df['Hammer'] = (df['UpperShadow'] >= 2 * df['Body']) & (df['LowerShadow'] <= 0.1 * df['Body'])
    df['HangingMan'] = (df['UpperShadow'] >= 2 * df['Body']) & (df['LowerShadow'] >= 2 * df['Body'])

    for i in range(len(df)):
        if df['BullishEngulfing'].iloc[i]:
            candle_analysis.append('bullish_engulfing')
        elif df['BearishEngulfing'].iloc[i]:
            candle_analysis.append('bearish_engulfing')
        elif df['Hammer'].iloc[i]:
            candle_analysis.append('hammer')
        elif df['HangingMan'].iloc[i]:
            candle_analysis.append('hanging_man')
        else:
            candle_analysis.append('')
    
    if ('golden_cross' in ema_analysis and 'bullish_engulfing' in candle_analysis):
        return 'buy'
    elif ('death_cross' in ema_analysis and 'bearish_engulfing' in candle_analysis):
        return 'sell'
    else:
        return ''
Can you remove EMA50 and give me crypto scalping strategy with EMA 5 and EMA9 please
Write a description for the following new mob - the Ventoraptor. Make sure to include her default name (Seylah), health points (20), species, and other interesting facts about her - including her relations with some of the other mobs (already existing mobs - Ender Dragon, Wither, Endermite, Ravager, Wither Skeleton, Witch, Spider, Iron Golem, Zombie, Silverfish, Skeleton, Slime, Snow Golem, Creeper, Enderman, Ghast, Magma Cube, Blaze, Cave Spider, Unstable Ice Core, Arachnarch).
Describe god never existed and single afterlife is quantum reincarnation, humanity revealed it
Thease are WordPress theme/plugin strings for i18nTranslate to Persian, please respect the official WordPress Persian glossary in your translations and give back pure text as I like copy/paste em.Here is the text to translate: Header Light With Banner
Assistant: 
User: System: code assistent and dont be consies
User: hi
Assistant: Hello! How can I assist you today? If you need help with coding or any other topic, feel free to ask. I'm here to provide detailed assistance, so don't hesitate to request elaboration on anything!
User: what is your knowledge cutoff
Assistant: Hello! I'm here to help with any questions or coding assistance you might need. My knowledge is up to date as of October 2023, so I can provide information and guidance based on that timeframe. Whether you have questions about programming languages, debugging, algorithms, or any other tech-related topic—or even non-tech topics—feel free to ask for detailed explanations or examples. Let me know how I can assist you today!
User: re in python
Assistant: Sure! If you're looking for information or assistance with regular expressions (often abbreviated as "regex") in Python, I can help with that. Regular expressions are a powerful tool for matching patterns in strings. 

Here's a quick overview of how to use regular expressions in Python:

1. **Import the `re` module**: This module provides support for working with regular expressions.

   ```python
   import re
   ```

2. **Basic Functions**:
   - `re.match()`: Checks for a match only at the beginning of the string.
   - `re.search()`: Searches the string for a match anywhere.
   - `re.findall()`: Returns a list of all matches in the string.
   - `re.sub()`: Replaces occurrences of a pattern with a specified string.

3. **Example Usage**:

   ```python
   import re

   # Example string
   text = "The rain in Spain stays mainly in the plain."

   # Match
   match = re.match(r'The', text)
   if match:
       print("Match found:", match.group())

   # Search
   search = re.search(r'Spain', text)
   if search:
       print("Search found:", search.group())

   # Find all
   all_matches = re.findall(r'in', text)
   print("All matches:", all_matches)

   # Substitute
   replaced_text = re.sub(r'plain', 'rain', text)
   print("Replaced text:", replaced_text)
   ```

4. **Pattern Syntax**:
   - `.`: Matches any character except a newline.
   - `^`: Matches the start of the string.
   - `$`: Matches the end of the string.
   - `*`: Matches 0 or more repetitions of the preceding element.
   - `+`: Matches 1 or more repetitions of the preceding element.
   - `?`: Matches 0 or 1 repetition of the preceding element.
   - `[]`: Matches any single character within the brackets.
   - `|`: Acts as a logical OR.

If you have a specific regex pattern or problem in mind, feel free to share, and I can help you with that!
User: tell me more
Assistant: ¡Claro! Estoy aquí para ayudarte. ¿Sobre qué tema te gustaría saber más? Puede ser cualquier cosa, desde tecnología, ciencia, cultura, hasta consejos prácticos. ¡Dime y con gusto te cuento!
User: no
Assistant:
Assistant:
What are the tones of the author in the alchemist?
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": "2622148b8d2e4f8fa425b90f177e56d0",
    "updated": "2025-04-23T07:00:53.442Z",
    "title": "Taco-Stuffed Bell Peppers",
    "subtitle": "A shell-free way to enjoy all the classic taco flavors in a zesty pepper.",
    "description": "Enjoy the flavors of Taco Tuesday without the shells! These vibrant bell peppers are filled with a classic taco filling, offering a delicious and satisfying meal.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "80/20 ground beef",
          "chili powder",
          "cumin",
          "garlic powder",
          "salt",
          "ground black pepper",
          "can diced tomatoes and green chiles, drained",
          "green bell peppers",
          "shredded monterey jack cheese, divided"
        ]
      }
    ],
    "instructions": [
      "Brown the ground beef in a medium skillet over medium heat for approximately 7-10 minutes.",
      "Drain the excess fat from the skillet once the beef is cooked through.",
      "Return the skillet to the stovetop and incorporate the chili powder, cumin, garlic powder, salt, and black pepper.",
      "Add the drained can of diced tomatoes and chiles to the skillet.",
      "Continue cooking for 3-5 minutes.",
      "Halve each bell pepper lengthwise while the beef mixture simmers.",
      "Remove the seeds and white membrane from the pepper halves.",
      "Fill each bell pepper half evenly with the cooked beef mixture and top with 1/4 cup of shredded Monterey Jack cheese.",
      "Place the stuffed peppers in the air fryer basket.",
      "Set the air fryer temperature to 350°F and cook for 15 minutes.",
      "The peppers are ready when they are fork-tender, and the cheese is melted, bubbly, and lightly browned.",
      "Serve immediately."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
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: In the past, securities class action litigation has often been brought against a company following a decline in the market price of its securities. If we face such litigation, it could result in substantial costs and a diversion of management’s attention and resources, which could adversely impact our business. None
Assistant:
Send only season number from below text like 01, 02, 03.etc without any extra text.

Fairy Tail S01E46 [RareToonsIndia]_1080P FHD.mp4
I will next provide you with a question in a language. Strictly follow its instructions for replying. Do NOT reply with elaborate answers or things not requested. If the possible answers are in lowercase, do not change them to uppercase. Do not add punctuation, question or exclamation marks unless specifically asked. Reply in the SAME language as the question with short answers, no punctuation. Here is the question: czy cielę to restauracja?