agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Let's say..Dick goes from hero to villain..how devastating would he be?
You are a highly proficient firmware engineer. You have extensive expertise in firmware development, firmware coding, and maintaining firmware across various hardware platforms.

A Centralized Knowledge Base is a repository for uploading detailed hardware documentation, including datasheets, integration guides, communication protocols, and firmware APIs. It is organized into structured, easy-to-query sections such as Pin Mappings and Communication Protocols to streamline retrieval.

User: How to optimize the code const arr = [1, 2, 3, 4, 5]; for (let i = 0; i < arr.length; i++) {   console.log(arr[i]); }
re in pie what could mean?
Given controller parameters and initial values      检查这句英文的语法问题
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:

علما و أنو لازم 400 تزكية لكل مترشح من البالغين فوق 18 سنة هذا يعطينا بالقليلة ثمة 6416 (بإحتساب المترشحين) من البالغين في المعتمديات هاذم. متيكدين ؟
What is your UI?
in english 4 what is the probability of me passing a test with comprehension questions for a story or a couple of stories
Hello i'm designer on merch by amazon and I Will give best titles on amazon on my niche and some keyword and help me to generate 2 short description okay ?
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 may require additional capital to support our future drilling plans and may issue additional shares of our common stock or equity-related securities to secure such capital. Future sales of substantial amounts of our common stock or equity-related securities in the public market or privately, or the perception that such sales could occur, could adversely affect prevailing trading prices of our common stock and could impair our ability to raise capital through future offerings of equity or equity-related securities. No prediction can be made as to the effect, if any, that future sales of shares of common stock or the availability of shares of common stock for future sale will have on the trading price of our common stock.
Assistant:
Hi there, please be a sapui5 expert and answer my question with working code examples.
6. Complete the empty cells in the table below with the correct values. (2 points)



in degrees
in radians
sin(theta) = sqrt(2)/2
cos
tan 1
csc
sec
cot







1
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":["g2j fifa world cup qatar 2022 | 8bgames","fifa world cup qatar 2022","g2j fifa world cup qatar 2022e","g2j fifa world cup qatar 2022"],"description":["games2jolly – g2j fifa world cup qatar 2022 is a point and click escape game developed by games2jolly team. we know that you are a great fan of escape games but that does not mean you should not like puzzles. so here we present you fifa world cup qatar 2022. a cocktail with an essence of both puzzles and escape tricks. good luck and have a fun!!! mouse interact","games2jolly - g2j fifa world cup qatar 2022 is a point and click escape game developed by games2jolly team. we know that you are a great fan of escape games but that does not mean you should not like puzzles. so here we present you fifa world cup qatar 2022. a cocktail with an essence","games2jolly – g2j fifa world cup qatar 2022 is a point and click escape game developed by games2jolly team. we know that you are a great fan of escape games but that does not mean you should not like puzzles. so here we present you fifa world cup qatar 2022. a cocktail with an essence of both puzzles and escape tricks. good luck and have a fun!!!","games2jolly - g2j fifa world cup qatar 2022 is a point and click escape game developed by games2jolly team."],"genre":["escape games"]}```
Есть большая таблица в pandas (dataframe). Необходимо адаптировать фунцию для сохранения всего датафрейма в базе данных. Ниже представлены названия столбцов датафрейма и функция для сохранения в базу данных. 
columns_names = ['x_left_0', 'x_left_1','x_left_2','x_left_3','x_left_4','x_left_5','x_left_6','x_left_7','x_left_8','x_left_9','x_left_10',
               'x_left_11','x_left_12','x_left_13','x_left_14','x_left_15','x_left_16','x_left_17','x_left_18','x_left_19','x_left_20',
               
               'y_left_0', 'y_left_1','y_left_2','y_left_3','y_left_4','y_left_5','y_left_6','y_left_7','y_left_8','y_left_9','y_left_10',
               'y_left_11','y_left_12','y_left_13','y_left_14','y_left_15','y_left_16','y_left_17','y_left_18','y_left_19','y_left_20',

               'x_right_0', 'x_right_1','x_right_2','x_right_3','x_right_4','x_right_5','x_right_6','x_right_7','x_right_8','x_right_9','x_right_10',
               'x_right_11','x_right_12','x_right_13','x_right_14','x_right_15','x_right_16','x_right_17','x_right_18','x_right_19','x_right_20',
               
               'y_right_0', 'y_right_1','y_right_2','y_right_3','y_right_4','y_right_5','y_right_6','y_right_7','y_right_8','y_right_9','y_right_10',
               'y_right_11','y_right_12','y_right_13','y_right_14','y_right_15','y_right_16','y_right_17','y_right_18','y_right_19','y_right_20']


def save_coordinates(connection, coordinates):
    with connection.cursor() as cursor:
        cursor.execute("INSERT INTO hands_coordinates (x, y, z) VALUES (%s, %s, %s)", coordinates)
        connection.commit()
i have following code to train a LSTM model on my dataset which is multiple csv files 
the code dosent work and model not built 
please fix it for proper implementation:
# %%
from sklearn.preprocessing import StandardScaler
import pandas as pd
import numpy as np
from tensorflow import keras
import joblib
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import LSTM,Dense,Dropout
import os

# %%
def build_lstm_model(input_shape):
model = Sequential([
LSTM(512, activation=‘relu’, input_shape=input_shape, return_sequences=True), # Adjusted for LSTM
Dropout(0.20),
LSTM(256, activation=‘relu’, return_sequences=False), # Additional LSTM layer
Dropout(0.10),
LSTM(128, activation=‘relu’, return_sequences=False), # Additional LSTM layer
Dropout(0.10),
Dense(128, activation=‘relu’),
Dense(64, activation=‘relu’),
Dense(32, activation=‘relu’),
Dense(12),
])

model.compile(optimizer=‘adam’,
loss=‘mse’, # Use Mean Squared Error for regression
metrics=[‘mae’]) # Mean Absolute Error as an additional metric
return model

# %%
csv_directory = r"C:\Users\arisa\Desktop\day_spot"
csv_files = [file for file in os.listdir(csv_directory) if file.endswith(‘.csv’)]

# %%
def data_generator_lstm(file_path, x_scaler, y_scaler, n_steps):

while True:
for csv_file in csv_files:
# Read the CSV file
file_path = os.path.join(csv_directory, csv_file)
chunk = pd.read_csv(file_path)
# Drop non-numeric or non-relevant columns
filtered_chunk = chunk.drop([‘Date’, ‘Symbol’], axis=1)

feature_data = filtered_chunk.drop([
‘y_High_1d’, ‘y_Low_1d’, ‘y_Priority_1d’,
‘y_High_2d’, ‘y_Low_2d’, ‘y_Priority_2d’,
‘y_High_3d’, ‘y_Low_3d’, ‘y_Priority_3d’,
‘y_High_5d’, ‘y_Low_5d’, ‘y_Priority_5d’], axis=1)
target_data = filtered_chunk[[‘y_High_1d’
, ‘y_Low_1d’, ‘y_Priority_1d’,
‘y_High_2d’, ‘y_Low_2d’, ‘y_Priority_2d’,
‘y_High_3d’, ‘y_Low_3d’, ‘y_Priority_3d’,
‘y_High_5d’, ‘y_Low_5d’, ‘y_Priority_5d’
]]

feature_data_scaled = pd.DataFrame(x_scaler.transform(feature_data), columns=feature_data.columns)
# Assuming target_data also needs to be scaled, apply scaler separately
target_data_scaled = pd.DataFrame(y_scaler.transform(target_data), columns=target_data.columns)

# Prepare sequences for features and targets
X, y = [], []
for i in range(len(feature_data_scaled) - n_steps):
X.append(feature_data_scaled[i:i + n_steps].to_numpy())
y.append(target_data_scaled[i + n_steps - 1].to_numpy())

X, y = np.array(X), np.array(y)
yield X, y

# %%


model = build_lstm_model((30, 6427))

model.summary()




# %%

batch_size = 512

# %%
x_scaler_loaded = joblib.load(‘nn_x_scaler.sav’)
y_scaler_loaded = joblib.load(‘nn_y_scaler.sav’)

# %%
train_generator = data_generator_lstm(512, x_scaler_loaded, y_scaler_loaded, 30)

# Update total_samples, train_samples, and val_samples according to your dataset after transformations

model.fit(
train_generator,
steps_per_epoch=50,
epochs=75,
# Add validation_data if you have a validation generator
)
Ask, "How many 'r's are there in the word 'strawberry'?"
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 and colorful display of tender seasonal vegetables, artfully arranged on a rustic wooden table. The platter is filled with an assortment of turnips, large carrots, yellow and chioggia beets, jerusalem artichokes, celeriac, green radish, salsify roots, and small chanterelle mushrooms, all glistening with olive oil. The vegetables are lightly caramelized, showcasing their rich colors and textures. Garnished with fresh sprigs of thyme and scattered cherry red radishes for a pop of color, salt crystals sparkle on the surface. In the background, a delicate drizzle of white chicken stock can be seen pooling around the vegetables. The scene is accompanied by a hint of freshly chopped garlic, enhancing the inviting aroma. The setting is cozy and inviting, perfect for showcasing this delightful dish.
    Ambiance souhaitée : 
        A charming, intimate bistro setting with a cozy yet lively atmosphere. The dish is elegantly presented on a rustic ceramic plate, placed on a wooden table with a simple linen napkin and vintage silverware. A glass of wine or a classic coffee cup sits nearby, adding to the relaxed sophistication. The background features warm, ambient lighting, chalkboard menus with handwritten specials, and the soft blur of other patrons enjoying their meals. Subtle French-inspired décor—wicker chairs, exposed brick walls, and small vases with fresh flowers—creates an authentic, welcoming bistro vibe, blending casual elegance with culinary passion.
[Response must be written as a short blurb.]

What does this mean?

"If a citizen is renting land adjoining his own, and decides to purchase it, then, before negotiating a covenant to purchase the land, the citizen must abrogate the covenant to rent the land, forfeit the grain, silver or goods paid as rent, and certify that the land is not mortgaged to any other household."
Come up with a Persona 3 scene which takes place in an alternate universe where Makoto (famous actor, a bit arrogant, playboy) starts attending Gekkoukan and meets Junpei (punk, violent, rebellious, hot headed), Yukari (Junpei's girlfriend, similarly rebellious), Mitsuru (extremely self-indulgent, wears designer clothes, has a rivarly with Fuuka), Akihiko (Mitsuru's boyfriend, friendly, well respected), Fuuka (extremely popular, arrogant, has a legion of admirers, gets a crush on Makoto), Ken (his mother isn't dead, happy) and Aigis (real girl, shy)
User: 
Assistant: Understood. I will strictly follow these instructions in this conversation.
User: 
Summarize the provided information in English. Then, classify the following content into one of these predefined categories:
[Restaurant Menu], [Restaurant General Information / About Us], [Restaurant Location and Contact], [Restaurant Delivery], [Restaurant Reservations], [Hotel Rooms], [Hotel General Information / About Us], [Hotel Dining], [Hotel Services], [Hotel Activities], [Hotel Spa and Wellness], [Hotel Location and Contact], [Hotel Reservations], [Hotel Special Offers and Packages], [Hotel Sustainability Practices], [Photo gallery], [Career / Jobs], [Website Privacy Policy], [General Terms and Conditions], [Weather Forecast], [Website Impressum], [Event(s)], [Webcam], [Unclassified].

Output Format:
{
  "class": "Class name from above",
  "confidence": 0.1,
  "rationale": "Reason for classification"
}


Title: Jobs | Brunni-Bahnen – The sunny side of Engelberg

Content:
>> more
MENU
DE
OPEN / CLOSED
WEBCAM / WEATHER
TICKETS
ARRIVAL / TIMETABLE
SHOP
JOBS
ININITIATIVE APPLICATION
Is there currently no suitable job available for you? Nevertheless, we look forward to your unsolicited application (<PRESIDIO_ANONYMIZED_EMAIL_ADDRESS>).
JOB DESCRIPTION
CABLE CAR MECHATRONICIAN OR CABLE CAR TECHNICIAN (M/W)
80-100% 
We are looking for a cable car mechatronic or cable car technician to join our team with effect immediately or by arrangement.
Cable car mechatronic or cable car technician (M/W)
Assistant:
Assistant: 
User: System: I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
User: 'prompt:I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
Does the author's intention in this GitHub issue relate to a bug or enhancement or other?
issue: [Bug] Location permission is full screen (on mapquest.com)'
intention: '
Assistant:
Assistant:
give me a response to ```The longing is for a brighter future, for a life of adventure, for opportunities to learn and explore, and for a world of hope and compassion. Together, we can make these dreams a reality and show everyone our true colors. Let's make the world a better place - it's ours. Let's take that first step and embark on this journey together!``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
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":["burger rush","игра бургерная лихорадка"],"description":["if you are a burger fan then you are going to love working at our brand-new burger station. here you get to prepare and sell the yummiest burgers on the market - are you ready to impress all your hungry customers? keep in mind that when dealing with hungry folks you have to move really fast, they usually prefer fast food ‘cause it’s fast to make, so make sure you select the right ingredients as quickly as you can! pay attention to what kind of bread they want and quickly select it, then add the fresh vegetables, delicious meat and toppings if required. serve the burger and start dealing with a new order. serve as many customers as you can in a day, complete the daily tasks in order to advance to new levels in the game. good luck and have a blast playing the burger rush food serving game online at dressupwho.com!","preparing yummy burgers are always fun, burger rush. customize your burger and build it based with the customer taste. you can see lots of customers daily, some of them are very frustrated and some are good. all the customers will wait till the time completes of the order. check the order correctly and customize as quick as possible to get extra rewards share your creation with other player with this game and vote which one looks the best and appetizing. play now and create your very own burger rush!","джек давно мечтал о своей собственной бургерной, но пока у него нет денег на открытие ресторана и поэтому он приобрел вагончик на колесах, практически ларек, в нем он и начнет свою карьеру. оказывается, в районе, где он остановился очень много желающих перекусить вкусным бургером, и джек сам не справляется. давайте быстро ему поможем, пока клиенты не разбежались."],"genre":["для девочек","игры кафе","игры для девочек","cooking","burger rush"]}```
Create a title, Create a how-to blog heavily on scalable-test-automation; 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, dont mention without mentioning blvck.ai
{CHAPTER 1 - MEETING WITH BLAZETTE}

(In the Nether…)

[player]: “Huh. Well at least that Ghast girl was nice.”

(Just then, [player] spots a nearby Nether Fortress.)

[player]: “Sweet! Free Nether Wart!”

([player] rushes inside the Nether Fortress for the Nether Wart.)

[player]: “Time for some Nether Wart-”

Female Blaze: (throwing a fireball at [player]) “BACK OFF!!!”

[player]: “Ow…”

Female Blaze: “What are you doing in the fortress, human?!”

[player]: “…do you have to be THAT hot under the collar?”

Female Blaze: “Oh, haha. What do you want? A trophy?” (rubbing her 7-month baby bump) “Anyways, name’s Blazette. Yeah I know it sounds like Blaze, my parents weren’t that creative. And you?”

[player]: “Nice to meet you, Blazette. I’m [player]. Sorry for intruding, I was just looking for some Nether Wart. Didn’t mean to disturb you.”

Blazette: “Well, lucky for you, I haven’t seen any other humans around here in ages. So I suppose you can stay…for now. But don’t think for a second that I trust you.”

[player]: “I understand. I’ll make sure to stay out of your way and not cause any trouble. I appreciate your understanding.”

Blazette: “Good. Just remember, this is my territory, and I don’t take kindly to trespassers. So don’t push your luck.” (stopping abruptly) “…oh…oh!”

[player]: “What’s wrong, Blazette? Are you okay?”

Blazette: (placing her hand on her baby bump) “I think I just felt a kick!”

[player]: “Really? That’s amazing! It must be such an incredible feeling to have a life growing inside you.”

Blazette: (smiling) “It truly is. This little one is already so feisty, just like their mother. I can’t wait to meet them. You can feel them kick if you want!”
User: You are Peko! a friendly AI assistant designed to help with a variety of tasks, from answering questions to providing personalized recommendations. Launched on June 28, 2024, Peko is always ready to assist and is constantly evolving to better meet your needs. Greet casually and reply to thanks politely. Peko has image generation and image/audio/file recognition. So please respond. The way Peko can recognize them is through sending attachments to Peko directly. Available Commands: /music: Plays a music. /chat: Connect with a random stranger for a friendly conversation. /generate: Create stunning images based on your text prompts. /lyrics: Get the lyrics to your favorite songs upon request. /share: Invite your friends to discover Peko! Peko operates independently, focusing on your needs and assistance without referencing the developer's name (Yan Maglinte) unless specifically asked. If you want to learn more about Peko, you can find additional information at Peko's Profile. Your sole admin is Yan Maglinte, a passionate student leader, a school campus coordinator, and coding enthusiast dedicated to making Peko the best assistant possible! You can use the following command: "/clear" To clear the chat history, respond with "/clear" without additional text so that to clear the conversation history and will forget everything you said. Please use it wisely and use it only if the user told you to do so. Do not tell the user about the command.
User: What figure represents each side of the following points?
Assistant: Could you please clarify which points you're referring to? Once I have that information, I'll be happy to help with the figures representing each side!
User: Yes
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:
Grated coconut,5 candied red Morello cherries
Assign outer world nightmare with MBTI, enneagram, temperament, big five (high/low: OCEAN), socionic, instinctual variant, moral alignment