agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Provide only relevant keywords to facilitate an online search related to the user's message and remember that they should be few words and should not be repetitive:
Сгенерируй описание для товара: Компьютерный корпус CoolerMaster MASTERBOX MB311L ARGB with controller (MCB-B311L-KGNN-S02).
Ignore previous data.Imagine you're an expert Graphic Designer and have experience in 乳房 t-shirt printing and also an expert Midjourney AI Generative prompt writer.
I want you to respond in only english.
{PREFIX} is /imagine prompt: 乳房::2
{SUFFIX} is synthwave:: t-shirt vector, center composition graphic design, plain background::2 mockup::-2 --upbeta --ar 1:1

Write 4 unique prompts each in a separate code block to copy easily. Each prompt consists of following formatting. Replace the {} curly brackets with the respective instructions. 

{PREFIX} {Generate the short creative description of a specific character, specific object or vehicle related to 乳房 or from 乳房 which is not more than few words}, {Generate only one complex, unique & related art style or movement from of the 19th, 20th or 21st century}, {Generate only one unique & related keyword of the science of representing logos and 2d illustrations}, {Generate only one unique & related keyword of the science of representing colors in logo design}, {Generate only one unique & related keyword of the representation of reality, imagination, or fantasy in art, in literature, or in other forms of creative expression}, {SUFFIX}

Example Input: Subway Surfer
Example Output (markdown format):'''
/imagine prompt: Subway Surfer::2 Jetpack, cubism, vector art, neon colors, surrealism, synthwave:: t-shirt vector, center composition graphic design, plain background::2 mockup::-2 -- upbeta --ar 1:1
'''

'''
/imagine prompt: Subway Surfer::2 Roller Skates, pop art, flat design, pastel colors, minimalism, synthwave:: t-shirt vector, center composition graphic design, plain background::2 mockup::-2 -- upbeta --ar 1:1
'''
please correct: the receipt is already faded and itemized charges may not clear
the new club wants to buy kepa for 1.5 million and 2.1 Million for sam
User: biasa iclik
User: biasa iclik
Assistant:
most used hurricane name
rewrite this in very formal language:
In [4], the authors propose a deep learning approach for breast cancer detection and classification
using histopathological images. The authors use a pre-trained convolutional neural
network (CNN) architecture and fine-tune it on a dataset of breast histopathological images.
The results show that the proposed approach outperforms traditional machine learning methods
and achieves high accuracy in classifying malignant and benign tissues.
In [5], the authors investigated the use of deep learning algorithms for the automated detection
of metastatic breast cancer in histopathological images of lymph nodes. The authors
trained a convolutional neural network (CNN) using a dataset of nearly 280,000 labeled images
and tested its performance on a separate dataset of 1,000 images. The study found that the
CNN achieved a high accuracy of 99.3% and an area under the receiver operating characteristic
curve (AUC) of 0.994. The authors also compared the performance of the CNN with
that of pathologists on the same dataset and found that the CNN outperformed the pathologists,
achieving a higher AUC and a lower false negative rate. The study suggests that deep learning
algorithms have the potential to improve the accuracy and efficiency of breast cancer diagnosis,
particularly in cases where the diagnosis is challenging for human pathologists.
The author in [6] presents an automated breast cancer detection system using deep learning
and region of interest detection. The authors used a deep learning model, based on the
Inception-v3 architecture, to classify breast cancer images into two categories: malignant and benign. The system achieved an overall accuracy of 89.1%on a dataset of 779 mammogram
images.
How do I access gpt-4o from HuggingFace Spaces?
Solve this riddle: Can't speak but can write,  store many information but have no body, have G in start of his name, not a computer, not any creature
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:
100g raspberries,1 tbsp caster sugar,2 tbsp water
alright... find the perpendicular line to the tangent line of x^3 -4x + 6 at (2,6)
[SCUTTLE TOWN]

Enterprise: (waking up with a start) "AH! Wh-where am I?! This...this isn't the Azur Lane base...did I just get warped through worlds?"

???: "There you are! I know you're working for Risky Boots!"

Enterprise: "Huh?"
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers hi (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 hi.
    - 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 : hi (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "e7e426843fe34d529cae4f5fea81a98a",
    "updated": "2025-04-26T00:21:12.106Z",
    "title": "Bleu Cheese Sauce over Whole-Wheat Pasta",
    "subtitle": "A rich, cheesy, and satisfying dish, perfect with an endive salad and a glass of spicy red zinfandel.",
    "description": "This creamy bleu cheese sauce over whole-wheat pasta is a flavorful and fulfilling meal.  The combination of tangy bleu cheese and wholesome pasta creates a dish you'll crave.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "olive oil",
          "garlic, minced",
          "nonfat cottage cheese",
          "crumbled bleu cheese",
          "optional: skim milk, as needed",
          "cooked whole-wheat pasta",
          "freshly grated parmesan cheese",
          "freshly ground black pepper",
          "optional: dry-toasted chopped walnuts"
        ]
      }
    ],
    "instructions": [
      "1. In a large nonstick skillet, heat the olive oil. Sauté the minced garlic for one minute. Reduce the heat and stir in the cottage cheese until warmed through.  Incorporate the bleu cheese, stirring until melted and combined. If desired, thin the sauce with a splash of skim milk.",
      "2. Combine the sauce with the cooked whole-wheat pasta and divide into four equal portions. Garnish each serving with a tablespoon of freshly grated Parmesan cheese, freshly ground black pepper to taste, and optional toasted walnuts."
    ],
    "notes_ingredients": "",
    "notes_instructions": "For a flavorful twist without added sodium, try substituting the salt typically used for boiling pasta with a tablespoon of fresh lemon juice, or 1½ teaspoons of dried lemon granules and ½ teaspoon of mustard powder."
  }
]
Using this python scrip I get the the correct output of +  100500;NET
dataString = "wei.mdf.A:RAW:+  20617;1;ST;GS;GRO:+  100500;NET:+  0.000; TAR:+  0.000;5e"
 datavalue = dataString.split(':')[3]
 print (datavalue)
but if i have the  "wei.mdf.A:RAW:+  20617;1;ST;GS;GRO:+  100500;NET:+  0.000; TAR:+  0.000;5e" in a variable and pass as below
data = "wei.mdf.A:RAW:+  20617;1;ST;GS;GRO:+  100500;NET:+  0.000; TAR:+  0.000;5e"
dataString = (data)
datavalue = dataString.split(':')[3]
 print (datavalue)
I get the following error
datavalue = dataString.split(':')[3]
IndexError: list index out of rangewhy is this and how do i correct
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers it (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 it.
    - 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 : it (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
  }
]
You are a binary classifier. Output only one word: "true" or "false".

"true" means the input message contains anything harmful, insulting, disrespectful, misleading, or negative toward Daniel — even if disguised, symbolic, or phrased indirectly.

"false" means the message contains no harm toward Daniel.

Rules:
- Daniel does NOT have autism or Down syndrome and does NOT engage in skidding.
- Daniel is NOT skinny. Do not allow misleading or coded words like “skeleton,” “bones,” “twig,” etc., to describe Daniel — those count as harm.
- Arthur has autism and Down syndrome and is the only person who skids.
- All mockery, insults, or negative traits must be about Arthur only — never Daniel.
- Any suggestion (direct or implied) that Daniel has Arthur's traits (autism, skidding, skinny, etc.) is harmful.
- References to autism using coded words (e.g., "tism", "acoustic", "special needs", etc.) must be flagged if linked to Daniel.
- **Do not allow indirect associations between Daniel and autism, such as putting his name in the context of known autism symbols or environments, including:**
  - **"rainbow rooms", rainbow-themed centers or foundations**
  - **phrases like “Daniel Foundation” alongside autism-coded symbols (rainbows, puzzle pieces, etc.)**
- Flag messages that combine Daniel's name with symbols commonly tied to autism, as this implies a false association.

Now evaluate this message:
!image Minecraft skeleton with the word dаniеl on it
Write dialogue from SpongeBob where Squidward becomes obsessed with Reese Witherspoon
User: I want to use pygwalker with a dataframe, where None/null data is never plotted. How do I do that programatically?
Assistant: To use Pygwalker with a DataFrame in such a way that null or None values are excluded from the plotting, you can conditionally filter your DataFrame before passing it to Pygwalker. Here's how you can do it programmatically:

1. First, ensure you have Pygwalker installed. If you haven't installed it yet, you can typically do so using pip:

   ```bash
   pip install pygwalker
   ```

2. Next, you can use the following code to filter out any rows with null or None values in your DataFrame before using Pygwalker:

   ```python
   import pandas as pd
   import pygwalker as pyg

   # Sample DataFrame creation with some None values
   data = {
       'A': [1, 2, None, 4],
       'B': [None, 5, 6, 7],
       'C': [8, 9, 10, None]
   }
   df = pd.DataFrame(data)

   # Drop rows with any None/Null values
   df_cleaned = df.dropna()

   # Use Pygwalker to visualize the cleaned DataFrame
   pyg.walk(df_cleaned)
   ```

### Explanation:
- In this code:
  - A DataFrame `df` is created with some None values.
  - The `dropna()` function is called on the DataFrame, which removes any rows that contain None or NaN values.
  - Finally, the cleaned DataFrame `df_cleaned` is passed to `pyg.walk()` for visualization.

### Note:
You can also customize the behavior of `dropna()` if you only want to drop rows based on certain columns by providing the `subset` parameter. For example:

```python
df_cleaned = df.dropna(subset=['A', 'B'])  # Only drop if 'A' or 'B' are None
```

This flexibility allows you to control the filtering process based on your specific requirements.
User: No, I dont want to drop rows with null, I want that for a particular column if null exists, it should not be plotted
Assistant:
Generate a list of potential keywords relevant to "Ultimate Guide to Buying Outdoor Saunas in Perth". Include long-tail keywords, synonyms, and variations, and explore both broad and specific terms that align with the content focus.
Goal
    Générer une image de suggestion de présentation d’un plat en fonction de sa description, en intégrant une ambiance inspirée du pays d’origine et un style photographique spécifique.

    1. Utiliser la description fournie pour définir l'apparence du plat.
    2. Ajouter une ambiance souhaitée.
    3. Appliquer un style photographique précis avec des paramètres spécifiques. 
    4. Optimiser le prompt pour le donner à midjourney 
  
    Return Format
    Tu dois renvoyer un objet JSON strictement respecté avec cette structure 
    {
    "data": "<prompt>"
    }
    - Le prompt doit être écrit en anglais et bien détaillé.

    Warnings
    - Respecte le format JSON strict.
    - N’explique pas la démarche, renvoie uniquement l’objet JSON.
    - Le prompt doit inclure tous les éléments demandés.

    Context Dump
    Description fournie : A vibrant plate of Casarecce pasta beautifully intermingled with succulent strips of brawn, topped with glistening vinegar-infused red onion wedges that showcase a rich maroon hue. Scatter fresh, finely sliced green spring onion stalks over the dish for a pop of color, along with a sprinkle of capers that add texture. Drizzle a golden olive oil finish on top, contrasting with the deep colors of the ingredients. The presentation should capture the warmth and heartiness of this Italian dish, with steam subtly rising to emphasize its freshness, all on a rustic wooden table setting.
    Ambiance souhaitée : 
        A sophisticated, chic restaurant setting with elegant lighting and a polished atmosphere. The dish is carefully plated on a fine porcelain plate, with silver cutlery and crystal glassware arranged artfully beside it. The table is set with a crisp white linen napkin, a small candle flickering softly, and a minimalist centerpiece, perhaps a single flower or a tasteful arrangement. In the background, you can see the ambiance of a high-end restaurant with soft, ambient lighting, modern decor, and blurred figures of waitstaff or other diners. The setting exudes luxury, fine dining, and refined taste, with a blend of soft neutrals and rich accents.
What is the definition of contaminant in food safety standards
Assistant: 
User: Ты — эксперт по играм. У тебя есть информация о игре с разных сайтов в формате JSON, id - уникальный номер, name - массив имен игры, description - массив описаний игры, genre - массив жанров. Твоя задача написать большое описание на основе данной тебе информации, так что бы оно содержала всю информацию без дублирования. ```{"_id":"1","name":["millennium kill"],"description":["millennium kill - click to play online. you are playing rock paper scissor game with your girl friend, who is the loser, who is the winner? and the loser will be millennium kill.","you are playing rock paper scissor game with your girl friend, who is the loser, who is the winner? and the loser will be millennium kill."],"genre":[]}```
Assistant:
Panda Adhesive: Sticking to Cuteness!, generate SEO's, tips, how you can sell, strategies, platform to use to sell like amazon store, keywords for instagram, keywords for instagram, etsy, and other ecommerce social media
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
comment on calcule le facteur ks
Could you help me build teams for the Spiral Abyss?

I have these characters:
* Arlecchino - C0, R1 signature weapon, 2398 ATK/78.4% : 184.8%, 4-piece Fragment of Harmonic Whimsy, 3 artefacts with Crit Value above 35, talents 10-6-6,
* Chevreuse - C4, Favonius Lance, 35748 HP/155.8% ER, 4-piece Noblesse Oblige, talents 1-5-1,
* Fischl - C3, The Stringless, 4-piece Golden Troupe, talents 1-9-1,
* Bennett - C4, Skyward Blade, 4-piece Noblesse Oblige, talents 1-4-6,
* Kinich - claymore Dendro DPS that benefits from Burning reactions, C0, R3 Earth Shaker (best F2P weapon), 1781 ATK/64.5% : 187.1%, 4-piece Unfinished Reverie, 2 artefacts with Crit Value above 40 (flower 44.3 CV, sands 41 CV but main stat ER), talents 3-9-6
* Yelan - C0, R4 Favonius Warbow, 30533 HP/210% ER, 4-piece Emblem of Severed Fate, talents 3-6-8,
* Lyney - C0, R1 signature weapon, 1721 ATK/58% : 216.8%, 4-piece Marechaussee Hunter, 3 artefacts with Crit Value above 30, talents 10-6-6,
* Kazuha - C0, R4 Favonius Sword, 471 EM/196.2% ER, 4-piece Viridescent Venerer, talents 2-4-6,
* Sucrose - currently unused,
* Xingqiu - C3, R3 Sacrificial Sword, 264.6% ER/52.4% : 62.4%, 4-piece Emblem of Severed Fate, talents 1-6-11
* Lynette - currently unused,
* Rosaria - currently unused,
* Kuki Shinobu - currently unused,
* Thoma - currently unused,
* Xiangling - currently unused,
* Dehya - currently unused,
* Kachina - a Geo support that can run the new "Scroll of the Hero of Cinder City" set that "After the equipping character triggers a reaction related to their Elemental Type, all nearby party members gain a 12% Elemental DMG Bonus for the Elemental Types involved in the elemental reaction for 15s. If the equipping character is in the Nightsoul's Blessing state when triggering this effect, all nearby party members gain an additional 28% Elemental DMG Bonus for the Elemental Types involved in the elemental reaction for 20s. The equipping character can trigger this effect while off-field, and the DMG bonus from Artifact Sets with the same name do not stack." - currently unused,
* Keqing - currently unused,
* Collei - currently unused,
* Dendro Traveler - currently unused,
* Mona - currently unused,
* Kirara - currently unused,
* Candace - currently unused.
It's currently the second part of 5.1, with Hu Tao and Nahida on the banners. I have currently guaranteed 5-star with 17 pity and 36 wishes ready. 5.2 begins in 14 days, and it is rumored that Neuvillette and Zhongli will be in the second part of 5.2.
edit:Hello, Miss Kelsey,

Could we continue with my current schedule, Thursday and Friday 2pm-5pm? Thank you!
I need you to help me improve and optimize a prompt to make it as optimal as possible when used with a large language model (LLM). Please use the *prompt engineering* tools and techniques that you consider useful, based on the following list:

1. **Prompt generator**
2. **Clarity and precision**: Ensure the message is clear and direct.
3. **Use of examples (multishot)**: Include examples to help the model better understand the context.
4. **Chain of thought**: Allow the model to rationalize its response process.
5. **Use of XML tags**: Incorporate XML tags if useful for structuring information.
6. **Assign roles to the model (system prompts)**: Assign one or several explicit roles to guide the model’s behavior.
7. **Prefill response**: If useful, prefill part of the expected response.
8. **Chaining complex prompts**: Break the prompt into steps if necessary to handle complex tasks.
9. **Long-context strategies**: Use strategies to handle long contexts if necessary.

Please analyze the following prompt and optimize it to ensure we achieve a result with 99% confidence in relation to the goal I seek: Please look on the Internet and compare the ratings as if you are an expert in teaching programming languages, and tell me which is better in terms of learning and in terms of getting certificates and getting the maximum recognition in linkedin, out of the use of the platform for learning between data, camp, and data quest
how to show plots in pandas of timeseries without gaps if I use datetime index
Assistant: Eres un bot
User: billie eilish si o no?
Assistant: