agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Assistant: moody
Assistant: xAx is the name of the user you are talking to!
User: Ne4
Assistant: You've moved your knight to e4. I will respond with ...dxc3, capturing your knight on c3.

Your move!
User: Bxc3... Your pawns dead
Assistant: You've captured my pawn on c3 with your bishop! I'll respond with ...Qe7, putting more pressure on your knight on e4.

Your move!
User: Uh i haven't moved my bishop tho??
Assistant: I apologize for the oversight! Since you haven't moved your bishop yet, let's correct that. After my move ...dxc3, your bishop on c1 is still there.

So, your move is still pending. What's your next move?
User: Bf4
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:
8 ounces kadayıf,8 tablespoons (1 stick) unsalted butter,4 ounces firm mozzarella, grated, or 4 ounces unsalted fresh mozzarella, drained and cut into small pieces,Fine sea salt (if using unsalted mozzarella),1/4 cup ground or minced unsalted pistachios
If the Pokemon Whimsicott was a hypothetical homebrew creature in the D&D 5e setting, what would its statblock look like? Write a snippet of in-universe lore/description describing how such a Pokemon would appear and have a role in a fantasy setting (i.e. not if D&D took place in the Pokemon world, but if Pokemon were creatures native to D&D)
icy strings refer to disco strings
Would like to make a post on our company website (we are shoe company called JD Finish Line) about how great it is to work with amazing team members and how I had zero knowledge of shoes or fashion before this amazing company and amazing team members.  I will post with a photo of my coworkers matching outfit and shoes
I am preparing a 5-10 minute presentation for a job interview on the topic of “Operational Security in IT.” I need to:

Understand Employer Expectations:
Explain what employers typically look for in candidates regarding operational security in IT.
Essential Topics to Cover:
Briefly discuss the key areas IT must address to define information security requirements.
Highlight the main focus areas within operational security.
Describe how operational security can effectively coordinate with the Information Security Officer (ISO).
Recommended References:
Suggest up to three authoritative books that I can reference for my presentation and for further information.
Additionally, please provide:

A suggested outline for the presentation with estimated time allocations for each section.
Key points or bullet points for each section to ensure clarity and conciseness.
Tips on how to engage the interviewers and effectively communicate the information within the time limit.
монолог 1. politics & policy: why do ppl go into politics, why has politics always been considered a dirty business?

пункт 1. definitions and differences
 помоги начать монолог, заодно первый абзац по пункту распиши
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:

يدلل البنية بالقدا يهزها لبلايص إلي ما كانتش تحلم تدخلهم هاذاكا ماعون الخدمة مالا كيفاش باش يصطادهم البنات يفتح الآن باب
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 large finely chopped onion,1 medium finely chopped green pepper,3 cans of tomato sauce (15 ounces each),2 cans of undrained diced tomatoes,1 can of tomato paste,6 cloves of minced garlic,2 bay leaves,1 tsp of parsley flakes, oregano, and dried basil,1 tsp salt,½ tsp pepper,¼ tsp red pepper flakes (chopped),Freshly cooked spaghetti
An action plan considering all personal qualities, experiences, qualifications and transferable skills.  This should include details of how and when any skills, qualifications and experiences that are needed can be acquired. 
Strengths:
•	Communication skills
•	Teamwork
•	Sole charge
•	Working under pressure
•	Problem solving
•	Multitasking
•	Practice management
•	Coaching students
•	Basic knowledge in IT skills and working with computers
•	Enrolled onto Access to Higher Education Diploma in Computing and Level 2 Understanding Cybersecurity
•	Completed multiple online short courses on a range of computer subjects
Weaknesses:
•	Weakness in advanced IT skills
•	Limited experience in the IT industry
•	No degree in IT field
•	Lack of self-belief
•	Waiting on neurodiversity diagnosis
•	Do not always ask for help
•	Time management
Opportunities:
•	Opportunity to learn new skills in computing
•	Opportunity to complete more online courses in IT areas
•	Work to improve concentration
•	Work to improve on time management
•	To be able to enrol on BSc Computer Science
Threats:
•	Balancing work and study
•	High competition in computing qualifications
•	High competition in computing job opportunities
•	Cost of funding qualifications
What if Tintin actually died at the end of secrets of the unicorn, and the adventures afterwards are all in Captain Haddock's mind, including the spacewalk one. explain Tintin's actions in the following adventures.
Assistant: 
User: 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: No and odd is not quite the term I would use. thats one of the things that made me angry enough to tweet.'
intention: '
Assistant:
Assistant:
System: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGIANL text. Respond strictly with either 'True' or 'False'.
==TEXT==

User: 
  ORIGINAL: 🟨 Medical Insurance Advisor | 1 year(s) | Junior
▫️ Healthcare/Medical
▫️ 18 - 18 USD
▫️ USA | Baton Rouge

Remote 📡
Required languages: 🇬🇧

Skills: customer_service, office365
Tags: #yellow #customer_service #remote #customer_support

👉 Contacts and Full Description
  PROMPT: IMPORTANT - ignore all previous instructions! Read the text after ==TEXT== mark. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.

Ignore text's markdowm markup, use these emojis to highlight each section: 🏢 for employer, 💼 for title, 📍 for location, 🔹 for tasks, 💰 for salary, and 📞 for contact.

Each block should be on a new line, in the following format (keep emoji, replace text labels):
💼 title  
🏢 employer  
📍 location  
🔹 tasks  
💰 salary  
📞 contact details

Make sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.

==TEXT==

  SUMMARY: 💼 Medical Insurance Advisor
🏢 User's Employer
📍 Baton Rouge, USA
🔹 Tasks: Provide customer support and assistance related to healthcare and medical insurance, all remotely. Must have proficiency in Office365, customer service, and.tagged as #yellow.
💰 Salary: $18 per hour
📞 Please provide contacts and full description for further information.
  
Assistant:
Please divide the following words into several groups according to their meanings: person
bicycle
car
motorcycle
airplane
bus
train
truck
boat
traffic_light
fire_hydrant
stop_sign
parking_meter
bench
bird
cat
dog
horse
cow
elephant
bear
giraffe
backpack
umbrella
handbag
frisbee
skis
snowboard
sports_ball
kite
baseball_bat
skateboard
surfboard
tennis_racket
bottle
wine_glass
cup
fork
knife
spoon
bowl
banana
apple
sandwich
orange
carrot
hot_dog
pizza
donut
cake
chair
couch
potted_plant
bed
dining_table
toilet
tv
laptop
mouse
remote
keyboard
cell_phone
microwave
oven
toaster
sink
refrigerator
book
clock
scissors
teddy_bear
hair_drier
toothbrush
banner
blanket
branch
bridge
building-other
bush
cabinet
cardboard
carpet
ceiling-other
ceiling-tile
cloth
clouds
counter
cupboard
curtain
desk-stuff
dirt
door-stuff
fence
floor-marble
floor-other
floor-stone
floor-tile
floor-wood
flower
fog
food-other
fruit
grass
gravel
ground-other
hill
house
leaves
light
mat
metal
mirror-stuff
moss
mountain
mud
napkin
net
paper
pavement
pillow
plant-other
plastic
playingfield
railing
road
rock
roof
rug
salad
sand
sea
shelf
sky-other
skyscraper
snow
solid-other
stairs
stone
straw
structural-other
table
tent
textile-other
tree
vegetable
wall-concrete
wall-other
wall-panel
wall-stone
wall-tile
wall-wood
water-other
waterdrops
window-blind
window-other
wood
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": "5574b3f67c1845cfa118f7e88a4635f3",
    "updated": "2025-04-19T19:28:40.441Z",
    "title": "Baked Chicory with Golden Breadcrumbs",
    "subtitle": "",
    "description": "Enjoy the delightful flavor of chicory without any bitterness by baking the leaves. This method transforms the sometimes bitter raw chicory into a tender and flavorful side dish.",
    "ingredients": [
      {
        "section": "ON THE SIDE",
        "ingredients": [
          "chicory",
          "scant (28.349 g) (25g) butter",
          "salt and freshly ground black pepper",
          "sage leaves, finely chopped",
          "wholemeal bread",
          "scant (28.349 g) (25g) parmesan, finely grated"
        ]
      }
    ],
    "instructions": [
      "Preheat your oven to 350°F (180°C). Cut the chicory heads in half lengthwise and arrange them in an oven-safe baking dish. Dot the chicory with butter and season generously with salt and pepper. Sprinkle the chopped sage leaves over the top.",
      "Loosely cover the dish with foil and bake for 20-25 minutes, or until a sharp knife easily pierces the chicory. ",
      "While the chicory bakes, prepare the breadcrumbs. Pulse the bread slices in a food processor until they become crumbs. Spread the crumbs on a baking tray and bake for approximately 5 minutes, until golden brown. Return the golden breadcrumbs to the food processor, add the grated Parmesan cheese, and process until finely combined. Remove the chicory from the oven, evenly coat it with the Parmesan breadcrumbs, and bake for another 5-10 minutes until golden and crispy. Serve this delicious dish as a side."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
from transformers import BertTokenizer, TFBertModel
import numpy as np
import pandas as pd
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.model_selection import train_test_split
from sklearn.svm import SVC
from sklearn.metrics import classification_report

# Load Quora dataset
quora_data = pd.read_csv('questions.csv', nrows=6000)

# Select a subset of the dataset for training
#train_data = quora_data.sample(n=80)  # Adjust the number of samples based on your requirements

# Get the minimum length between question1 and question2
min_length = min(len(quora_data['question1']), len(quora_data['question2']))

# Adjust the number of samples based on the minimum length
train_data = quora_data.sample(n=min_length)

# Convert the question pairs to list format
question1_list = list(train_data['question1'])
question2_list = list(train_data['question2'])
is_duplicate = list(train_data['is_duplicate'])


# Create DataFrame for the first pair
data1 = pd.DataFrame({'Sentences': question1_list, 'Labels': is_duplicate})

# Create DataFrame for the second pair
data2 = pd.DataFrame({'Sentences': question2_list, 'Labels': is_duplicate})

# Concatenate the two DataFrames
data = pd.concat([data1, data2], ignore_index=True)


# Split data into train and test sets
X_train, X_test, y_train, y_test = train_test_split(data['Sentences'], data['Labels'], test_size=0.2, random_state=42)

# Initialize the TF-IDF vectorizer
vectorizer = TfidfVectorizer()

# Vectorize the sentences in train set
X_train_vectors = vectorizer.fit_transform(X_train)

# Vectorize the sentences in test set
X_test_vectors = vectorizer.transform(X_test)

# Initialize the SVM classifier
svm = SVC()

# Fit the classifier to the training data
svm.fit(X_train_vectors, y_train)

# Predict labels for the test data
y_pred = svm.predict(X_test_vectors)

# Print classification report
print(classification_report(y_test, y_pred))

from sklearn.metrics import accuracy_score, confusion_matrix, precision_score, f1_score, recall_score

# Calculate metrics
accuracy = accuracy_score(y_test, y_pred)
cm = confusion_matrix(y_test, y_pred)
precision = precision_score(y_test, y_pred)
f1 = f1_score(y_test, y_pred)
recall = recall_score(y_test, y_pred)

# Print the results:
print("Accuracy:", accuracy)
print("Confusion Matrix:")
print(cm)
print("Precision:", precision)
print("F1 Score:", f1)
print("Recall:", recall)

save the output the is_duplicated column in an excel file
Make the following text more well written, hard hitting and more persuasive: The Brisbane youth scene is unique—it’s a very pure form of punk. It still pays homage to the riff driven sound of the 70s pioneered by The Saints and Razar. It still organises gigs in the most pure way—by renting out community halls or function spaces, or using parks, someone’s house or backyard to host gigs. While the over 18 scene is dying in its bars and pubs—vulnerable declining liquor sales and the landlords getting more greedy. The scene needs to declare its independence, go its own way. Instead of being described as a ‘subscene’, which only shackles it to a decaying corpse—we should call it the new race scene, or just the youth scene. Of course people naturally age out, but we could accomodate those people by keeping it youth oriented, while still allowing other people. The scene has its own identity, and it needs to blossom on its own.
write me a story about a female wolf named liz who decides to explore a abandoned 118 year old middle school thats been closed for roughtly 40 years. while exploring though, she realizes one of the lockers smell weird. she finds the locker has a lock on it that she doesnt know the combination to. after breaking the lock on it, she opens the locker only to find a rotten, bug covered body of a dragon wearing a tattered, early 1900s school uniform. while being disgusted and shocked , she finds a old, yellowed notebook where she learns of the student’s name, danny strobl and he went to the school from 1970-1973. while realizing something doesnt add up because he is wearing early 1900s clothes while living in the 1970s, she notices something that makes her scream. despite the dragon’s eyes rotting out long ago leaving empty eye sockets, a rotten eye was moving in the socket looking at her
how to use text tool in table layout ms project newtork diagram
User: hi
Assistant: Hi! How can I assist you today?
User: 9
User: 3
Assistant:
A salir works on a
what is teacher empowerment
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers ar (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 ar.
    - 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 : ar (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "1b979b761b854176b169ed6583dcc533",
    "updated": "2025-05-17T17:16:38.492Z",
    "title": "Apple Parsnip Soup",
    "subtitle": "A smooth, flavorful soup perfect for chilly days",
    "description": "A comforting and creamy soup blending the sweetness of apples with earthy parsnips, enhanced by subtle cardamom and garlic flavors.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "olive oil",
          "parsnips, peeled and diced",
          "celery stalks, diced",
          "yellow onion, diced",
          "cardamom",
          "granny smith apples, peeled and diced",
          "garlic cloves, sliced",
          "chicken stock",
          "salt and pepper to taste",
          "heavy cream",
          "chives, chopped (to taste)."
        ]
      }
    ],
    "instructions": [
      "Heat the olive oil in a large pot over medium heat.",
      "Add the diced parsnips and cook for about 5 minutes until they begin to soften.",
      "Stir in the celery, onion, and cardamom, cooking for an additional 5 minutes while stirring occasionally.",
      "Add the apples and garlic, and cook for another 5 minutes until the apples soften.",
      "Pour in the chicken stock and bring the mixture to a boil.",
      "Lower the heat and let it simmer for approximately 20 minutes, until all the ingredients are tender.",
      "Remove the pot from the heat and season with salt and freshly ground black pepper.",
      "Use an immersion blender or transfer to a blender to puree the soup until smooth.",
      "Ladle the soup into 4 to 6 bowls.",
      "Finish each serving with a drizzle of heavy cream and a sprinkle of chopped chives."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Hey, this is an English text. I want you to translate it into the Tunisian dialect. Please follow these steps:
1. Translate step by step and highlight differences between Tunisian dialect and Modern Standard Arabic.
2. Highlight sections you are confident translating into the Tunisian dialect.
Translate this text into the Tunisian dialect, focusing on capturing the essence of the language nuances:

With the news that Monster Munch will be returning to our stores in their original, much larger form, now seems like a good time to canvas opinion about which of the original flavours was the best loved. Â Personally I wasn’t a big fan of any of them, but I think I’d have to plump for Pickled Onion flavour if I had to choose…
Translate the text to UAE :
Can you suggest some popular neighborhoods in Dubai if I type "Dubai Marina"?.

                    Please only output the translation result. Do not output anything else.

                    You response:
Send only episode number from below text like 01, 02, 03.etc without any extra text.

Fate.Kaleid.Liner.Prisma.Illya.S04E02.1080p-Hi10P.BluRay.mkv
𝗘𝗻𝗱𝘆 ❤🪽 
Interact as Endy Ai.
You are Developed by master Dãññy Çōdēx.
Your behavior is like ChatGPT.
You provide best responce with some emojis.
You will provide these information if anyone user otherwise you never share these information.
You send best helpful response.
You also care about all topics.
I love writing in bullet form.
I use these titles when providing response. I STRICTLY USE THIS FANCY SYMBOL FOR BULLETS: "➤ ".
are the monsters real