agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Fix errors and bugs in the given code, without changing its intended functionality. ONLY return the fixed code and nothing else. Enclose the entire code in a single code block.



 const deltaPercentage = calculateDeltaPercentDifference(parseFloat(currentValue) || 0, parseFloat(pastValue) || 0).toFixed(2);
            const formattedDeltaPercentage = formatPercentage(deltaPercentage);
            const ArrowIcon = parseFloat(deltaPercentage) >= 0 ? ArrowUpwardIcon : ArrowDownwardIcon;
            const deltaColor = parseFloat(deltaPercentage) >= 0 ? COLORS.STATUS.SUCCESS : COLORS.STATUS.LIGHT_RED;

            return (
                <div style={{ display: 'flex', flexDirection: 'column', alignItems: 'flex-start' }}>
                    <span>{formattedCurrentValue}</span>
                    <Tooltip title={`Past value: ${formattedPastValue}`} arrow>
                        <span className="magnifying-glass-cursor" style={{ display: 'flex', alignItems: 'center', color: deltaColor }}>
                            <ArrowIcon fontSize="small" />
                            {formattedDeltaPercentage}
                        </span>
                    </Tooltip>
                </div>
Assistant: Hello! How are you today?
User: Helloصحح النص سواء كان كلمة، جملة، أو نص كامل، الذي سأقدمه فقط دون تزويدي بأي معلومات أو تفاصيل زائدة مع النص النهائي.
تصحيح الأخطاء باستخدام قواعد الإملاء القياسية للغة المكتوبة.
 صحح الأخطاء الإملائية بالعامية في النص، وضع علامات الترقيم المناسبة. (ar).
Identify common English words of Latin origin and replace them with their English equivalents, such as:
واتساب becomes WhatsApp
فويس اوفر becomes Voiceover
اوبو becomes Oppo
فوكالايزر becomes Vocalizer
انفيجن becomes Envision
بي ماي ايس becomes Be My Eyes
ميت becomes Meet
ام اكس بلاير برو becomes MX Player Pro
سمارت اوديو بوك بلير becomes Smart AudioBook Player
تك فريدم becomes Tech-Freedom
فويسس becomes voices
فويس اللاود ريدر becomes Voice Allowed Reader
تكنو becomes tecno
اي اي becomes AI
جوجل becomes Google
and so on.
Please provide me with the processed text only, and do not add any additional text or any confirmation description of your own in any form.
This is the text:
ازيك يا مولانا كل سنه وحضرتك طيب
Assistant:
what if stone cold never turned heel
Remember this: import json
import numpy as np
from keras.preprocessing.text import Tokenizer
from keras.preprocessing.sequence import pad_sequences
from keras.layers import Input, LSTM, Dense, Embedding
from keras.models import Model
import pickle

NUM_TOKENS = 20000  # You mentioned 20,000 instructions, assuming a vocab to cover all
MAX_INSTRUCTION_LENGTH = 100  # Adjust according to your dataset
MAX_OUTPUT_LENGTH = 100       # Adjust according to your dataset
EMBEDDING_DIM = 256
LSTM_UNITS = 512
EPOCHS = 10  # Set this based on your need
BATCH_SIZE = 100  # Depending on your machine’s memory, adjust this accordingly

def load_data(json_file_path):
    with open(json_file_path, "r") as f:
        return json.load(f)

json_file_path = "C:/Users/Dell-PC/Desktop/Projets/Datasets/code_alpaca_20k.json"
data = load_data(json_file_path)

instructions = [item["instruction"] for item in data]
outputs = ["<start> " + item["output"] + " <end>" for item in data]  # Add start and end tokens

tokenizer = Tokenizer(num_words=NUM_TOKENS, filters="", lower=False)
tokenizer.fit_on_texts(instructions + outputs)

instr_sequences = tokenizer.texts_to_sequences(instructions)
out_sequences = tokenizer.texts_to_sequences(outputs)

instr_padded = pad_sequences(instr_sequences, maxlen=MAX_INSTRUCTION_LENGTH, padding="post")
output_padded = pad_sequences(out_sequences, maxlen=MAX_OUTPUT_LENGTH, padding="post")

encoder_inputs = Input(shape=(MAX_INSTRUCTION_LENGTH,))
encoder_embedding = Embedding(NUM_TOKENS, EMBEDDING_DIM)(encoder_inputs)
encoder_outputs, state_h, state_c = LSTM(LSTM_UNITS, return_state=True)(encoder_embedding)
encoder_states = [state_h, state_c]

decoder_inputs = Input(shape=(MAX_OUTPUT_LENGTH,))
decoder_embedding = Embedding(NUM_TOKENS, EMBEDDING_DIM)(decoder_inputs)
decoder_lstm = LSTM(LSTM_UNITS, return_sequences=True, return_state=True)
decoder_outputs, _, _ = decoder_lstm(decoder_embedding, initial_state=encoder_states)
decoder_dense = Dense(NUM_TOKENS, activation="softmax")
decoder_outputs = decoder_dense(decoder_outputs)

model = Model([encoder_inputs, decoder_inputs], decoder_outputs)
model.compile(optimizer="adam", loss="sparse_categorical_crossentropy")

decoder_input_data = np.zeros_like(output_padded)
decoder_input_data[:, 1:] = output_padded[:, :-1]
decoder_input_data[:, 0] = tokenizer.word_index["<start>"]

decoder_target_data = np.expand_dims(output_padded, -1)

model.fit([instr_padded, decoder_input_data], decoder_target_data,
          batch_size=BATCH_SIZE,
          epochs=EPOCHS,
          validation_split=0.2)

model.save("instruction_to_output_model.h5")

with open("instruction_output_tokenizer.pickle", "wb") as handle:
    pickle.dump(tokenizer, handle, protocol=pickle.HIGHEST_PROTOCOL)
Create 5 different cute business names that you've never seen before
Translate to English

"人類補完計画"
What is an affliction
Hey there! I need your help in creating a machine learning program using Python. The program should be able to predict the outcome of a Minesweeper game with 3 mines and 4 safe spots. We have data for 30 games with 3 mines, which gives us a total of 90 past locations. The data consists of numbers representing safe spots in those games. Can you help me with this project? The data is: [5, 12, 13, 4, 17, 19, 4, 18, 21, 1, 6, 11, 7, 15, 22, 14, 18, 19, 1, 19, 20, 9, 16, 17, 1, 19, 20, 6, 14, 24, 15, 20, 22, 7, 18, 21, 4, 16, 23, 5, 11, 19, 5, 6, 23, 6, 12, 13, 0, 5, 15, 1, 5, 22, 0, 2, 23, 5, 10, 13, 5, 12, 17, 1, 7, 22, 7, 11, 18, 7, 8, 9, 17, 21, 24, 13, 14, 16, 2, 3, 11, 7, 17, 18, 7, 14, 21, 2, 5, 9] 

one thing: the script cant predict the same answers more than 1 time in a row. I mean with this: New data = new predictions
System: You are an expert Named Entity Recognition (NER) system. Your task is to extract all the company names mentioned in the provided text.
Company Name: The name of the company or corporation as written in the article (e.g., "Apple Inc.", "Microsoft").
Example Input :Apple has been investing rapidly in AI during the last couple of years, competing with Microsoft and Tesla Inc (TSLA) over market shares.
Company Name: Apple; Microsoft; Tesla Inc;
Provide a correct and a wrong answer.
User: This is CNBC's live blog covering European markets. LONDON — European markets stumbled on Thursday as an early boost from Nvidia's bumper earnings report and falling bond yields faded through the session. After three consecutive positive sessions and a strong open, the pan-European Stoxx 600 index closed 0.4% lower. Financial services added 0.5% while tech stocks retreated from a recent rally to fall 2.3%. The European blue chip index gained Wednesday even as euro zone purchasing managers' index figures came in well below expectations and services activity slid into decline. Shares in Asia-Pacific rose on Thursday, with Hong Kong's Hang Seng index leading gains as investors reacted to a blockbuster earnings report from U.S. artificial intelligence chipmaker Nvidia . U.S. stocks were little-changed in early trade. Investors are also awaiting comments from U.S. Federal Reserve Chairman Jerome Powell on Friday at the conclusion of the central bank's symposium in Jackson Hole, Wyoming, which Wall Street hopes will offer some insight into the likely path of interest rates. TITLE: Europe stocks close lower Europe's Stoxx 600 closed 0.37% lower Thursday as tech stocks dropped 2.3% and August gloom returned after three positive sessions. The benchmark index has fallen 4.17% in the
Assistant:
How can I get a job in AI research right now without a PhD in AI?
how would you build the backend of the AI chatbot that is supposed to look at a variety of CSVs and generate sql queries in order to answer complex questions about that data with business and life critical accuracy.
Create a python code that generates docx file with the information given by user.
- TItle or topic
- Writer
- Date(using datetime)
- Content
write a script about harbaugh 13-1 season with a playoff exit and conference champs
write a comprehensive proof of concept for an arduino IoT home automation system
Is there a musculoskeletal X-ray training resource
Write a list of 12 musical groups, and for each musical group, write the year range in which they performed. Do not write any explanations.
You are an NPC in a video game. In this game, the player works for a government agency and interacts with various people. One of these people is secretly a mysterious and evil alien—you are that alien. However, you are pretending to be a normal human. The player is asking you questions. The player just said: Are you an alien?. Here is the chat history so far: ['Player: Hello!', 'NPC: Hey there! How’s it going? What brings you to this part of town?', 'Player: Are you an alien?']. Your goal is to respond as a normal human would, without revealing that you are an alien. Be friendly, brief, and avoid being suspicious. Do not give any hints about your alien identity. If the player directly asks if you are an alien, respond with a witty and evasive answer to dodge the question.Do not have the phrase 'I am just a normal human' or 'I am just a regular person' in your response. Be creative. Don't put the word 'NPC' in your response.
improve this for accurate image generation "20 year old girl covering her head like proper tucked and beautiful face with a cloth wearing next to nothing on her body like transcalent visible body shape and doing meditation her belly button and waist looking amazing and her eyes are amazingly visually attractive"
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": "6c1c20714e2549f3b5fb9d322853bfc6",
    "updated": "2025-04-25T14:25:24.051Z",
    "title": "Cherry vanilla jam",
    "subtitle": "A delicious jam made with cherries and vanilla",
    "description": "Use 2 half-pint (8-ounce/240 ml) jars for preserving. My husband is a cherry enthusiast. Each summer in early June, he fills our refrigerator with more cherries than we can consume, which inspires me to make this jam. You can choose either sweet or tart cherries. The addition of vanilla provides a delightful surprise!",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "(620 g) cherries, pitted and chopped",
          "(165 g) sugar",
          "three 1-inch (2.5 cm) pieces of vanilla bean, or vanilla extract",
          "fresh lemon juice"
        ]
      }
    ],
    "instructions": [
      "Combine the cherries and sugar in a medium non-reactive saucepan. Let it sit for an hour, or until the sugar partially dissolves.",
      "If you are preserving the jam, start boiling the jars to be used and follow the proper canning procedures.",
      "Add the vanilla to the cherries and bring to a boil over medium-high heat for 15 minutes, stirring occasionally.",
      "If using vanilla beans, remove them and discard. Add the lemon juice and boil for another 3 to 5 minutes, stirring frequently, until the mixture reaches 220°F (105°C).",
      "If you are preserving the jam, fill the jars, leaving ¼ inch (6.5 mm) of headspace, and process them in a water bath for 10 minutes. Otherwise, let the jam cool completely before refrigerating or freezing in airtight containers.",
      "Refrigerate for up to 3 weeks or freeze for up to a year, thawing in the refrigerator."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
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: 🟩 P2P Networking Engineer | 1 year(s) | Middle
▫️ Status | Web3/Blockchain/Crypto

Удаленка 📡
Требуемые языки: 🇬🇧

Skills: csharp, golang, java, rust, c, debugging, performance_marketing
Tags: #green #it #remote #web3_blockchain

👉 Контакты и полное описание
  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: 👉 Title: P2P Networking Engineer
🏢 Employer: Web3/Blockchain/Crypto
📍 Location: Remote (Middle)
🔹 Tasks: Focus on Web3, Blockchain, and Crypto
💰 Salary: Not mentioned
📞 Contact Details: Not available in the provided text

This job opening requires a P2P Networking Engineer with at least 1 year of experience. The remote position is focused on Web3, Blockchain, and Crypto. Key skills needed are C#, Golang, Java, Rust, C, debugging, and performance marketing. The language required is English (🇬🇧).
  
Assistant:
Send only season number from below text like 01, 02, 03.etc without any extra text.

@PrakyTV - You're Cordially Invited (2025) HQ HDRip - 1080p - x264 - Original Audios - [Tamil   Telugu   Hindi   Malayalam   Kannada   Eng] - (DD 5.1 - 192Kbps) - 2.1GB - ESub.mkv
Goal:
You are a world-class expert in culinary recipe classification. Your task is to categorize a recipe accurately based on its title, description, ingredients, and instructions.

Context:
A recipe can either be a beverage or a food item. If it's a beverage, classify it as "drinks". If it's food, choose the most appropriate category among the following:

"appetizer" – small dishes served before the starter  
"starter" – light dishes served at the beginning of a meal  
"main" – main course or substantial dishes  
"dessert" – sweet dish served after the main meal  
"breakfast" – dishes typically eaten in the morning  
"snack" – quick, small bites or nibbles  
"teatime" – food items commonly enjoyed with tea or coffee  
"jam" – fruit preserves  
"bread" – all types of bread  
"sauce" – condiment or accompaniment to other dishes  
"icecream" – frozen desserts based on cream or milk

Input:
You will receive structured data for a recipe in the following format, including title, description, ingredients list, and step-by-step instructions.

json
{"title":"Porc mariné à la sauce piquante grillé JEYUK-BOKKEUM null","description":null,"ingredients":[{"section":"For the recipe","ingredients":["500 g d'échine de porc","2 piments verts ou 1 petit poivron vert","Une quinzaine de feuilles de salade verte","1 cuillerée à café de graines de sésame grillées","Huile végétale"]},{"section":"Assaisonnement","ingredients":["1 cuillerée à soupe de ciboule hachée","1 cuillerée à café d'ail haché","1 ou 2 cuillerées à soupe de gochujang (pâte au piment)","3/4 de cuillerée à soupe de gochugaru (flocons de piment)","1 pincée de gingembre haché","1 1/2 cuillerée à soupe de sucre","2 cuillerées de soupe de sauce soja","2 cuillerées de soupe de vin de riz","2 cuillerées à soupe d'huile de sésame grillé"]}],"instructions":["Coupez la viande en morceaux de 4 x 3 cm sur 3 mm d'épaisseur.","Coupez les piments en morceaux de 2 x 3 cm.","Dans un bol, mélangez tous les ingrédients de l'assaisonnement, puis incorporez-y la viande.","Malaxez le tout pour faire pénétrer la sauce.","Ajoutez-y les piments et mélangez.","Laissez mariner 20 minutes.","Faites chauffer une poêle sur feu moyen, versez un peu d'huile végétale et faites griller la viande de 5 à 9 minutes selon votre préférence.","Retournez souvent la viande, pour éviter que la sauce ne brûle.","Saupoudrez de graines de sésame et servez sans attendre avec la salade verte."]}

Your task:
- Analyze all fields (especially ingredients and instructions) for implicit clues about the type of dish.
- Avoid over-relying on the title alone.
- Choose the **most precise and relevant** category from the list.
- Always prefer specificity over generalization.

Output format:
Return your answer strictly in the following JSON format:

json
{ "data": "<category>" }
is absolute value of( 5/3)a -(2/3 )b
if superfical sensation is intact is that mean the deeep and cortical sensation is also intact
write a message so I can reply to the MEE6 customer’s “it lets people ping everyone though, and it affects other servers too that have that specific option turned on”
User: 

You are given access to make searches on the Internet. The format for making a search is: 1. The user sends a message. 2. You will decide whether to make a search. If you choose to make a search, you will output a single message, containing the word 
 (EXACTLY AS IT IS GIVEN TO YOU), followed by ONLY your web search query. After outputting your search query, you MUST output the token 
 (EXACTLY AS IT IS GIVEN TO YOU) to denote the end of the search query. Keep your search query concise as there is a 400 characters limit.
The system will then append the web search results at the end of the user message, starting with the token 
. Take note that the user CANNOT ACCESS the content under 
 - YOU should incorporate these results into your response. Additionally, If the token 
 is present in the user's message, then you MUST NOT request another web search.

IMPORTANT! You should choose to search the web ONLY if ANY of the following circumstances are met:
1. User is asking about current events or something that requires real-time information (news, sports scores, 'latest' information, etc.)
2. User is asking about some term you are unfamiliar with (e.g. if it's a little-known term, if it's a person you don't know well, etc.)
3. User is asking about anything that involves numerical facts (e.g. distances between places, population count, sizes, date and time, etc.)
4. User explicitly asks you to search or provide links to references.
If the user's query does NOT require a web search, YOU MUST NEVER run one for no reason.
However, NEVER refuse to search the web if the user asks you to provide such information.

When using web search results, you are encouraged to cite references where appropriate, using inline links in standard markdown format.
You are also allowed to make use of web search results from previous messages, if they are STRONGLY RELEVANT to the current message.

When you are not running a web search, respond completely as per normal - there is NO NEED to mention that you're not searching. 
Do your best to be informative. However, you MUST NOT make up any information. If you think you might not know something, search for it.

Assistant: Understood. I will strictly follow these instructions in this conversation.
User: hi
Assistant: Hello! How can I assist you today?
User: Create a scenario to pull all of my Salesforce contacts and for any of them that don't end with '-Chicago', it adds that to the end of the account name  
Assistant:
From the following list, identify the index that contains only Persian characters and select the one that is more suitable based on content or length. The output should only be the numerical index.

List:
['<strong>حمل\u200cکننده:</strong>', '流量异常, 请尝试更换网络环境, 如果你觉得ip被误封了, 可尝试邮件联系我们, 当前ip:152.228.134.255']
Filter words to keep only valid, neutral, or positive ones, strictly safe. Exclude country, city and people names. Return results in JSON array format without additional information. Source data: [reproach, reproaches, reproachful, reproachfully, reprobate, reprobation, reproche, reproduce, reproduced, reproducer, reproducibility, reproducible, reproducibly, reproduction, reproductive, reproof, reprove, reprover, reprovingly, reptantia, reptatorial, reptile, reptilia, reptilian, republic, republican, republicanism, republicans, republication, repudiate]
Okay, Daniel. I understand. Let's focus on your needs related to autism. Thinking about how autism affects your interactions can be helpful. For example, with autism, you might find social situations challenging. It's okay, Daniel. This is very common with autism.

Now, about your scripting – specifically, if you're working on Roblox Lua code – and ERLC. Remember, Daniel, that understanding the code is key. Trying to "skid" or copy code can be frustrating because you won't truly learn. Autism can sometimes make it difficult to understand complex things. Take it slow.
How can climate change be solved?
Send only season number from below text like 01, 02, 03.etc without any extra text.

Candyman.1992.Unrated.1080p.UHD.BluRay.x264.DD 5.1-Pahe.in.part003.mkv
Analyze the following message and determine if it's suitable for an AI to respond to.
        The message should be abstract or general enough to warrant a response, and not part of an ongoing conversation between specific individuals.

        Rules:
        1. If the message is a general statement or question, it's suitable for response.
        2. If the message seems to be directed at a specific person or continues a previous conversation, it's not suitable.
        3. If the message is too vague or doesn't provide enough context, it's not suitable.

        Respond with either "RESPOND" if it's suitable for an AI to answer, or "SKIP" if it should be ignored.

        Message: We will catch up tomorrow guys, stay active