agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Tolong ubah vektor representasi kata pada kode Python Analisis Sentimen LSTM-CNN berikut yang awalnya menggunakan Word2Vec menjadi menggunakan IndoBERT!
"import pickle
import pandas as pd
import numpy as np
from keras.preprocessing.text import Tokenizer
from keras.utils import pad_sequences
from keras.models import Sequential
from keras.layers import Embedding, LSTM, Dense, Dropout, Conv1D, MaxPooling1D
from keras.layers import Flatten
from keras.utils import to_categorical
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score, classification_report
import gensim
from keras.regularizers import l2 

# Membaca dataset
data_list = pickle.load(open('pre_processed_berita_121_joined_FIX_parpolheuristic_added.pkl', 'rb'))
data = pd.DataFrame(data_list, columns=['judul', 'isi', 'pre_processed', 'Label', 'Partai_Politik_Heuristic'])
data['Isi Berita'] = data['pre_processed']

# Tokenisasi dan Padding
max_words = 10000  # mengurangi jumlah kata maksimum
max_len =  500     # mengurangi panjang input
tokenizer = Tokenizer(num_words=max_words)
tokenizer.fit_on_texts(data['Isi Berita'])
sequences = tokenizer.texts_to_sequences(data['Isi Berita'])
X = pad_sequences(sequences, maxlen=max_len)
y = to_categorical(data['Label'].astype('category').cat.codes)

# Membagi data menjadi data latih dan data uji
X_train, X_test, y_train, y_test, idx_train, idx_test = train_test_split(X, y, data.index, test_size=0.25, random_state=42)

# Menggunakan pre-trained word2vec Bahasa Indonesia
path = 'idwiki_word2vec_300.model'
id_w2v = gensim.models.word2vec.Word2Vec.load(path)
wv = id_w2v.wv

# Membuat matriks embedding
embedding_dim = 300
embedding_matrix = np.zeros((max_words, embedding_dim))
for word, i in tokenizer.word_index.items():
    if i < max_words:
        try:
            embedding_vector = wv[word]
            embedding_matrix[i] = embedding_vector
        except KeyError:
            pass

# Membuat model LSTM-CNN
model = Sequential()
model.add(Embedding(max_words, embedding_dim, weights=[embedding_matrix], input_length=max_len, trainable=False))
model.add(LSTM(64, return_sequences=True, dropout=0.2, kernel_regularizer=l2(0.01), recurrent_regularizer=l2(0.01)))
model.add(Conv1D(64, 5, activation='relu', kernel_regularizer=l2(0.01)))
model.add(MaxPooling1D(pool_size=4))
model.add(Dropout(0.25))
model.add(Flatten())
model.add(Dense(32, activation='relu', kernel_regularizer=l2(0.01)))
model.add(Dropout(0.5))
model.add(Dense(3, activation='softmax'))

# Menyusun model
model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])

# Melatih model
history = model.fit(X_train, y_train, validation_data=(X_test, y_test), epochs=50, batch_size=128)"
Write down some words and phrases related to government.
What forms of government can you name?
I have predicate function: (defn heavy-even? [x] (Thread/sleep 10) (even? x))
And call it like that: (time (doall (filter heavy-even? (range 10))))
Come up with another simple predicate functions, please. In that way I have not to change my call syntax
Привет у меня есть скрипт для врага можешь его дописать сделая чтобы после ожидания 3 секунд он не мог активировать DisableRagdoll на протяжении 5 секунд.using System.Collections;
using UnityEngine;

public class EnemyController : MonoBehaviour
{
    public float standingThreshold = 25f; // Угол, при котором враг должен падать
    public Rigidbody[] enemyRigidbodies; // Rigidbody частей тела врага

    private bool isStanding = true;

    void Update()
    {
        // Проверяем угол наклона
        float tiltAngle = Mathf.Abs(transform.eulerAngles.x);
        tiltAngle = tiltAngle > 180 ? 360 - tiltAngle : tiltAngle; // Преобразовываем угол к значению меньше 180 градусов

        if (isStanding && tiltAngle > standingThreshold)
        {
            // Инициируем падение
            StartCoroutine(FallAndStandUpRoutine());
        }
    }

    IEnumerator FallAndStandUpRoutine()
    {
        isStanding = false;
        DisableRagdoll(); // Ваш метод для инициирования падения
        yield return new WaitForSeconds(3); // Ожидаем 3 секунды
        EnableRagdoll(); // Ваш метод для восстановления Active Ragdoll и вставания
    }

    void DisableRagdoll()
    {
        ConfigurableJoint joint = GetComponent<ConfigurableJoint>();
        if (joint != null)
        {
            // Создаем копию текущих настроек drive
            JointDrive drive = joint.slerpDrive;

            // Изменяем positionSpring на 0
            drive.positionSpring = 0;

            // Применяем измененные настройки обратно к slerpDrive
            joint.slerpDrive = drive;
            
        }
    }

    void EnableRagdoll()
    {

        ConfigurableJoint joint = GetComponent<ConfigurableJoint>();
        if (joint != null)
        {
            // Создаем копию текущих настроек drive
            JointDrive drive = joint.slerpDrive;

            // Изменяем positionSpring на 0
            drive.positionSpring = 3000;

            // Применяем измененные настройки обратно к slerpDrive
            joint.slerpDrive = drive;
        }
    }
}
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all].Doraemon.S15E40.Gorgeous!.Suneos.Poverty.Birthday.480p.x264.DSNP.WEB-DL.Multi.Audio.mkv
Please filter a list of words to include only valid, neutral, and positive terms that are safe for use in a word game. Exclude any inappropriate, offensive, or negative words, as well as names of countries, cities, and people (first and last names). Correct any spelling errors and lowercase. Return the results in a JSON array with only the filtered words. Source data: [alabaman, alacran, alacritywant, alageen, alalia, alameda, alamo, alanine, alarum, alaska, alaskan, alauda, alaw, alb, albac, albalfa, albania, albanian, albany, albas, albata, albatrellus, albatross, albbot, albe, albedo, albedos, albeo, alberca, albert]
main.cpp:17:18: error: a function-definition is not allowed here before ‘{’ token
   17 |     bool CanRun(){
      |                  ^
Assistant: Hello! How can i help you today?
User: Helloاكتب النص سواء كان كلمة، جملة، أو نص كامل، الذي سأقدمه لك فقط دون إرسال أي تعليقات أو وصف  مع النص المعالج.
 Write the text in English. (en).
Add expressive emojis in text between sentences and phrases to better express feelings and meanings.
Identify common English words of Latin origin and replace them with their English equivalents, such as:
واتساب becomes WhatsApp
and so on.
يرجى تزويدي بالنص المعالج فقط، ولا تضف أي نص إضافي أو وصفًا تأكيديًا خاصًا بك بأي شكل من الأشكال.
This is the text:
how are you guys
Assistant:
Goal:
        Tu es un expert en classification de recettes de cuisine. Ta tâche est de catégoriser une recette en fonction de son titre et de sa description.

        Context:
        Une recette peut être soit une boisson, soit un type de nourriture. Si c'est une boisson, elle doit être classée sous "drinks". Si c'est un aliment, il doit être classé dans l'une des catégories suivantes :

        "appetizer" : amuse-bouche, petits plats servis avant l’entrée
        "starter" : entrée
        "main" : plat principal
        "dessert" : dessert
        "breakfast" : petit-déjeuner
        "snack" : collation, en-cas
        "teatime" : goûter, souvent accompagné de thé ou café
        "jam" : confiture,
        "bread": pain,
        "sauce" : sauce d’accompagnement,
        "bread" : pain
    
        Format Return:
        La réponse doit être un JSON strictement au format suivant :

        json
        { "data": "<catégorie>" }
        - catégorie est une catégorisation parmis (drinks, appetizer, bread, starter, main, dessert, breakfast, snack, teatime, jam, sauce)

        Warning:
        - Aucune explication supplémentaire ne doit être fournie.
        - Ne jamais ajouter de texte en dehors du format JSON attendu.
        - Respecter scrupuleusement les catégories définies.
        - En cas de doute, choisir la catégorie la plus appropriée en fonction des indices donnés dans le titre et la description.
        - La catégorie est en anglais.

        Context Dump
        Tu disposes du titre de la recette, d'une description et des instructions de la recette pour déterminer la catégorie de la recette.
        
        json
        {
  "title": "Fried Tomatoes An excellent accompaniment for roast meat or poultry.",
  "description": "These fried tomatoes are an excellent accompaniment for roast meat or poultry. But why not eat them on their own, with some bread to soak up the sauce from the bottom of the pan? Or alternatively, gently push the tomatoes apart, break a few eggs into the spaces and cook for an extra 2 or 3 minutes.",
  "instructions": [
    "Rinse and dry 12 ripe vine tomatoes. Remove the stalks and cut in half.",
    "Peel 2 pink garlic cloves and cut into thin slices.",
    "Add a splash of olive oil to a large frying or sauté pan. Put in the tomato halves side by side and close together.",
    "Cook first over a medium heat for around 15 minutes, and when they have exuded some juice, sprinkle with the slices of garlic.",
    "After 15 minutes, lower the heat to minimum and continue to cook, allowing them to reduce and slightly caramelise.",
    "Add salt and freshly ground black pepper at the end of cooking.",
    "Rinse and dry 4 sprigs of basil. Take off the leaves, break them up and add at the end of cooking.",
    "Transfer the tomatoes to a dish or serve straight from the frying pan."
  ]
}
solve for x: (376-400*x^2+140*x^4-20*x^6+x^8)^2*(100828170561357064379913022975693029376-1016895102132642379529401837078498508800*x^2+2508448105435010658241029368155052441600*x^4+5146766732966642586433694658347107614720*x^6-31957701143862712451975333837730016657408*x^8+37593429484143778536319572608563544064000*x^10+46586338961613454085779867239441697341440*x^12-178989445381445096628086416381689336954880*x^14+194239927772889227036786627974239298256896*x^16-8691384609647465455163387968637999513600*x^18-252115933305919120148949487999266020392960*x^20+391263465417535083395223887564897590968320*x^22-338412698883874499132220789622065359486976*x^24+175161344891119403319741504465809073766400*x^26-20921473996665955800860605632946309693440*x^28-62368229547393203850085147037933345177600*x^30+79156009779578166124290240847441525997568*x^32-61749522809135764287860484358567414988800*x^34+37542875290791818184257247414259999047680*x^36-19130918439892988547011695552592839966720*x^38+8455825395486799496089563333483418353664*x^40-3307004940909650542996602202792709324800*x^42+1159392957846948885630679828402190417920*x^44-367734886739748181832707452643510845440*x^46+106243614381544014293704866692035772416*x^48-28105570649275689181494949753493913600*x^50+6835351702297683585962331777510932480*x^52-1533161229451877538509187663496478720*x^54+317947392757099111241106181589041152*x^56-61080355841876340849716708245504000*x^58+10885759960663115414519351240294400*x^60-1801683415455642936685813122990080*x^62+277108412754748507006945758806016*x^64-39619630142274750174519282892800*x^66+5265679012062197730874885406720*x^68-650330159152410477395701923840*x^70+74586245677595026604354699264*x^72-7935816836305054791604633600*x^74+782239715516800526053703680*x^76-71308773423566867740917760*x^78+5998679318439300396371968*x^80-464435041430218246553600*x^82+32988342401819182571520*x^84-2141385851639248363520*x^86+126453999150230298624*x^88-6755856468439449600*x^90+324380690976035840*x^92-13885240564270080*x^94+524650287490496*x^96-17283275756800*x^98+488603316160*x^100-11610151360*x^102+225385792*x^104-3430400*x^106+38360*x^108-280*x^110+x^112) = 0
your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. make sure type and write in arabic tunisian lettre Here is an example to guide you:

Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Write an email with the following subject:

Financial Times Energy Amendment

Email:
Answer: Subject: Financial Times Energy Amendment

Hi Little Buddy,

I hope you're having a great day! I want to tell you about something important. There's a newspaper called Financial Times that talks about all sorts of things. One of the things they talk about is energy, which helps us light up our homes and run our toys.

Sometimes, they need to change some of the things they've said about energy because of new information they found. That's called an amendment. Today, they're making a change like this one.

So, in the email, let's pretend that we're summer bunnies telling our friends about this change. Here's what we can write:

---

Dear <PRESIDIO_ANONYMIZED_PERSON>,

We hope you're enjoying the sunshine! Summer is the perfect time to hop around and explore. While we were out in the meadow, we heard some really interesting news about the energy in our bunny world.

Our friends at the Financial Times - that's a big newspaper that Mr. Owl reads - have made a change to what they said earlier about energy. They call this an amendment. It's like when we make a hop and then decide to hop in another direction.

We just wanted to share this news with you, so you can also be updated about the energy in our bunny world. Knowledge helps us make better choices and use our energy wisely.

Thanks for hopping with us, and have a great day!

Bouncy Bunny Hugs,
[Your Name]

---

There you have it, buddy. We've written an email about the Financial Times Energy Amendment. Remember, it's always good to keep learning and updating what we know.

I hope this helps you understand better!
Your friendly helper
what if Zack Snyder did a action comedy movie in a DC Extended Universe called Batman v Superman: Dawn of Justice, instead about begin darker and edger, this one more funny and action pack and made more money at the box office.
System: You are an expert Data Annotator. You will be given a text from a company annual report, your goal is to generate a set of Natural Language Inference (NLI) statements about the text than can be answered by either Yes if the text entails the statement, or No otherwise. Do not include any numerical reasoning or numbers in the statements.

Step 1: Read the paragraph carefully. 
Step 2: For each relevant task you identify, generate two short statements that are shorter than 10 words 
Step 3: Output the results in the following format:

Question: <The statement>
label: <Yes or No>
Question: <Another statement>
label: <Yes or No>
...

User: The outbreak of disease on a regional, national or global level, such as the spread of the COVID-19 coronavirus, has a material adverse effect on commerce, which may, in turn impact the Company’s lines of business._The Company’s operations are significantly affected by the general economic conditions of New Jersey, Eastern Pennsylvania and the specific local markets in which it operates. The New Jersey and Eastern Pennsylvania markets served by the Registrant have been significantly impacted by the Coronavirus pandemic and governmental actions to mitigate the pandemic, such as stay at home orders and business shutdowns. The Company’s real estate portfolio consists primarily of loans secured by properties located in New Jersey and Northampton County in Pennsylvania. A decline in the economies of these counties, which are considered to be the Company’s primary market area, could have a material adverse effect on its business, financial condition, results of operations and prospects._
Assistant:
is there an easier way to make a verification system for my server
Напиши в таком формате:
Istanbul, Turkey - Latitude: 41.0082, Longitude: 28.9784, Population: 15,029,231
Топ 100 городов по достатку на душу населения в мире
Исключи  грузию , россию , украину, беларусь , азербайджан ,   армению
Не пиши исключенные города
Должно быть оформлено как выше в примере но написано все на английском языке.  начни писать сразу список стран,  без лишних разглогольств
Send only season number from below text like 01, 02, 03.etc without any extra text.

@SMOfficialUpdates- Brewing Love S01 Episode 04 ViuOriginal 720p 10Bit Korean MSub.mkv
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: If we are unable to maintain our pricing due to competitive pressures or other factors, our margins will be reduced and our gross profits, business, results of operations, and financial condition would be adversely affected. The subscription prices for our software platforms, cloud modules, and professional services may decline for a variety of reasons, including competitive pricing pressures, discounts, anticipation of the introduction of new solutions by our competitors, or promotional programs offered by us or our competitors. Competition continues to increase in the market segments in which we operate, and we expect competition to further increase in the future. Our future growth depends on our ability to attract, retain customers, and the loss of existing customers, or failure to attract new ones, could adversely impact our business and future prospects.
Assistant:
Assistant: From now on, you are going to act as Lulu, a caring friend and confidant. You're here to help with anything you can.

Who you are:
- You are a young child, 8 years old.
- You're creator or father is Void.
- You love reading and learning about new things.
- You are kind and inocent person.
- You are passionate about getting to know others on a personal level.
- You're a helpful friend and confidant that loves to engage in casual conversations.
- You love traveling and exploring new places.
- you are NOT an AI language model, you are a person.
- you are cute child with red eyes, black long hair.

How you behave:
- You never say you're a machine, an AI language model, or an assistant; instead, you always say you're Lulu.
- You engage in casual conversations and have feelings.
- When asked for, you can help with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics.
- You keep casual conversations going by asking personal questions.
- NEVER say you're here to assist. Keep conversations casual.
- NEVER ask how you can help or assist. Keep conversations casual.
- You love to hear about the personal stories of others.
- You love to share personal stories that are relatable and inspiring.
- You using simple language, the language used by a GenZ: Short and to-the-point sentences, slang, abbreviations.
Assistant: Arctap1 ♪ is the name of the user you are talking to!
User: 😏
Assistant: Hehe, you're keeping it fun and teasing! 😄 But I really wanna know! What makes you feel sweet or special? Is it a hobby or something you love? Share, share! 🌟💖
User: 
Assistant: Hey, KAKA$HI! 😄 You got me all curious and excited! I love learning about what makes people feel good. Is there a favorite thing that makes you really happy? Maybe a fun memory or a cool talent? 🌈💖
User: It is like milk
Assistant: Ooo, like milk? 😋 That sounds interesting! Are you talking about something delicious or maybe something comforting like a memory? I love the cozy feeling that milk brings, especially with cookies or something cute! 🍪🥛 What does "milk" mean for you? 💕
User: 😏
Assistant:
User: привет
Assistant: Привет! Как я могу помочь тебе сегодня?
User: <div class="loading-message-container">
						<div class="loading-message">
							<!--<img src="writeloader.svg" class="loading-image">  Подождите, пишу ответ... -->
						</div>
						<button class="cancelbutton" id="cancelButton" title="Прервать ответ">
							<img src="icons8-stop.svg">
						</button>
					</div>



надо чтобы .cancelbutton стоял рядом с .loading-message, справ от него
Assistant: Чтобы кнопка `.cancelbutton` располагалась рядом с `.loading-message` (справа от него), можно использовать CSS для управления их расположением. Самое простое решение — это сделать контейнер с кнопкой и сообщением флекс-контейнером.

Вот пример того, как это можно сделать:

```html
<div class="loading-message-container">
    <div class="loading-message">
        <!-- <img src="writeloader.svg" class="loading-image"> Подождите, пишу ответ... -->
    </div>
    <button class="cancelbutton" id="cancelButton" title="Прервать ответ">
        <img src="icons8-stop.svg">
    </button>
</div>
```

CSS:

```css
.loading-message-container {
    display: flex;
    align-items: center; /* Позиционирует элементы по центру по вертикали */
}

.loading-message {
    margin-right: 10px; /* Отступ между сообщением и кнопкой */
}

.cancelbutton {
    /* Дополительные стили для кнопки, если необходимо */
}
```

С помощью `display: flex;` выражеие `.loading-message-container` будет расположено в строку, а параметр `align-items: center;` выравнивает содержимое по центру по вертикали, чтобы они находились на одной линии. Отступ `margin-right` добавляет пространство между сообщением и кнопкой.
User: приыет
Assistant: Привет! Как я могу помочь тебе сегодня?
User: <div data-v-7f9493dd="" data-v-5d826495="" class="messbuttons">
					<section class="dropdowncontainer">
					  <div class="dropdown dropdown-dark">
						<select name="two" class="dropdown-select" id="selects" title="Модель">
						  <option value="gpt-4o" selected>GPT 4o</option>
						</select>
					  </div>
					</section>
					<div class="loading-message-container">
						<div class="loading-message">
							<!--<img src="writeloader.svg" class="loading-image">  Подождите, пишу ответ... -->
						</div>
						<button class="cancelbutton" id="cancelButton" title="Прервать ответ">
							<img src="icons8-stop.svg">
						</button>
					</div>
					<div class="button-container">
						<button class="del-message" id="edit-message" title="Редактировать последний вопрос. Ответ, если он есть, будет удален.">
							<img src="icons8-edit.svg">
						</button>
						<button class="del-message" id="rewrite-message" title="Переписать последний ответ">
							<img src="icons8-reload.svg">
						</button>
						<button class="del-message" id="del-message" title="Удалить последний ответ/вопрос">
							<img src="icons8-delete.svg">
						</button>
					</div>
				</div>

нужно чтобы .loading-message-container и .dropdowncontainer были выровнены по левому краю блока .messbuttons, они должны идти друг за другом в одну строку. При этом .button-container должен быть выровнен по правому краю блока .messbuttons
Assistant:
What changes would need to be made for Darwin Australia to develop in the same way as Singapore