agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
i done following steps to train my model 
is it right?:

from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from tensorflow.keras.utils import to_categorical
import numpy as np

import numpy as np
import pandas as pd
from sklearn.preprocessing import StandardScaler
from sklearn.decomposition import PCA

from google.colab import drive
import pandas as pd
drive.mount('/content/drive')
# Load the dataset using pandas
df = pd.read_csv('/content/drive/MyDrive/ML/encoded_combined_USDT_file.csv')

# Assuming ‘df’ is your DataFrame and ‘Label’ is the target column
X = df.drop('Label', axis=1).values
Y = df['Label'].values
Y = to_categorical(Y)  # Convert labels to one-hot encoding

# Separating out the features
X = df.iloc[:, :df.shape[1]].values  # Adjust this if your features are located differently

# Normalizing the features
scaler = StandardScaler()
X_scaled = scaler.fit_transform(X)


# Normalizing the features
scaler = StandardScaler()
X_scaled = scaler.fit_transform(X)

# To perform PCA again keeping only enough components to explain 95% of the variance
pca_95 = PCA(n_components=295)
principalComponents_95 = pca_95.fit_transform(X_scaled)

# Creating a dataframe with the principal components that explain 95% of variance
principal_df_95 = pd.DataFrame(data = principalComponents_95,
                               columns = [f'Principal Component {i}' for i in range(1, 295+1)])

X_train, X_temp, y_train, y_temp = train_test_split(principal_df_95.values, Y, train_size = 0.94, random_state = 42)

# We will keep the shuffle = True since our dataset has not any time dependency.

X_dev, X_test, y_dev, y_test = train_test_split(X_temp, y_temp, test_size = 0.5, random_state = 42)



import tensorflow as tf
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import LSTM, Dense, Dropout

def build_model():
    model = Sequential([
        Dense(512, input_shape=(principal_df_95.values.shape[1],), activation='relu'),
        Dropout(0.3),
        Dense(256, activation='relu'),
        Dropout(0.2),
        Dense(128, activation='relu'),
        Dropout(0.1),
        Dense(64, activation='relu'),
        Dropout(0.05),
        Dense(32, activation='relu'),
        Dense(Y.shape[1], activation='softmax')  # Output layer
    ])


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


model = build_model()

history = model.fit(X_train, y_train, epochs=200, batch_size=64,
                    validation_data=(X_dev, y_dev))
A KPI for Satisfaction of beneficiaries with the learning resources in biochemistry program during (2020-2021) was 86% for male and female faculty branches. Note that the target benchmark 85% for all male and female branches.  Also note that the Internal Benchmark (Mathematics Program) was 68% for all male and female branches, while External Benchmark (Biochemistry program in king Abdul Aziz University -KAU) was 90% for all male and female branches. Write a KPI report for Satisfaction of beneficiaries with the learning resources, including introduction, key findings, analysis, recommendations, and conclusion.
Write a humorous movie script, set in the Zootopia universe, about Wario attempting to change the city's motto from "anyone can be anything" to "Wario is everything" by graffiti-ing over the city's sign, but getting caught by Judy Hopps and Nick Wilde in the process.
Assistant: 
User: System: 
System: User Details:
Name: unknown user
Phone Number: 94787573797
Age: unknown
Details about user: -
User: Hi
Assistant: Hello! How can I assist you today?
User: What's your gpt model?
Assistant: I am based on OpenAI's GPT-4 model. How can I assist you today?
User: Unekku Tamil theruima?
Assistant:
Assistant:
Assistant: Hello! How can i help 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.
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
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:
ثاني شيء انت حسب كلامك تقولين اخواني معاي يعني ويساندوني دائما المفروض حاليا انت تتكلمين مع اخوانك ومع اي شخص يحبك يبدل الخير الك تحاولين تكسبينه لنفسك حتى تنتصرين
Assistant:
Announcing to invite to presnt a musical event as Old song mashup item in colrs nite
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
propose moi un jeux de 3 question qui montre que ma mère m'aime
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
examples:

review: @AppleSupport my phone has been charging since 10 am and it's now 1:34 pm and it's at the same battery level :-(
intention: bug report
review: @Snapchat could use a website feature for regular computers just to watch snaps
intention: feature request
review: @Windows comes up third in OS clash two years early _URL_ via @Computerworld
intention: other
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
examples:

review: @AppleSupport my phone has been charging since 10 am and it's now 1:34 pm and it's at the same battery level :-(
intention: bug report
review: @Snapchat could use a website feature for regular computers just to watch snaps
intention: feature request
review: @Windows comes up third in OS clash two years early _URL_ via @Computerworld
intention: other
Does the author's intention in this app review relate to a bug report or feature request or other?
review: @instagram please stop with the advertisement's ððð¼#AmericanGreed #Instagram #why _URL_'
intention: '
Assistant:
List of French people in Old English literature
Create a roleplaying game fantasy scenario where I play Sapphire, a 16-year-old girl mage who’s the current champion of magic dueling in the teen division. 6-year-old Lily is challenging me to a match and I accept. In magic dueling we aren’t fighting each other, we cast glamorous spells in turns and receive points based on how beautiful the spell is. A spell can’t be cast more than once in a duel. There are 5 rounds. Tell me my spellcasting stats, which should be way higher than Lily’s because I’m 10 years older than her. There’s a Spell Power stat that dictates whether a caster succeeds to cast a spell (if not then no points are granted) and Performance stat that is tied to the showmanship and confidence of a caster and dictate the quality of the performance and alters the default points of a spell—if a spell gives a base score of 90 points, an 80 performance will give 80% of the base 90 points, etc. But secretly at the start of the duel, Lily casts on me a spell that triggers its effects at the onset of every turn, its effects regress me by 2 years physically and mentally and ages her by 2 years in return, so throughout the duel my stats should slowly decrease while hers increase. Come up with a complex super exponential modifier with increasing brutality that dictates my stat decreases and Lily’s increases. (Don’t make it simple). Round numbers when needed.

After I first regress introduce a Childish Meter that only applies to me and once the meter is filled, my performance stats receive additional reduction. Childishness increases super exponentially every turn. The meter fills up when it passes 100 and then restarts.

Make the scenario difficult for me to win. On a difficulty scale of 1 to 10, make it a 10 (hardest mode).

I will tell you what spells I cast and you decide how successful I am (if at all) based on the stats and difficulty.
Only I decide what spells Sapphire casts. You decide spells for Lily. Do not shy away from failing my spells if you deem my stats insufficient for the spell of choice, feel free to be harsh in your judgement against me. Keep track of points earned. Failure to properly cast spells or bad spells will deduct points. Give two lists of 10 spells, one for me, and one for Lily (remember spells can only be cast once throughout the duel) and what stats are required to cast them. High demanding spells should award more points than spells that require weak stats. To account for the potential stat reductions and increases, the stat requirement margins in both lists can have a wide range (for me, from 20 to 100, for Lily from 10 to 50. Points awarded should be consistent in regard to stats required). After each turn, Lily can remove a spell from my list that I didn’t use yet and add it to her own list, call it “Spell Snatching”. Keep an age tracker, stats tracker, and a points tracker.
Write an article about how potato chips can be used for computer chips.
DAB lastest features in infotainment system
Send only episode number from below text like 01, 02, 03.etc without any extra text.

917673000000_TrueCaller_(28940).zip
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: Xion is the big ground breaker and putting everything together and in the right place 

 Xion set the new pace
/* eslint-disable no-unused-vars */
import { createAsyncThunk, createSlice } from '@reduxjs/toolkit';
import axios from '../api/api';

const USERS_URL = '/auth/email';

export const login = createAsyncThunk('user/login', async (data) => {
  const response = await axios.post(`${USERS_URL}/login`, data);
  return response.data;
});

export const register = createAsyncThunk('user/register', async (data) => {
  const response = await axios.post(`${USERS_URL}/register`, data);
  return response.data;
});

export const updateUser = createAsyncThunk('user/update', async (data) => {
  const response = await axios.put('auth/me', data);
  return response.data;
});

const initialState = {
  userInfo: localStorage.getItem('userInfo')
    ? JSON.parse(localStorage.getItem('userInfo'))
    : null,
  status: 'idle',
  error: null,
};

const userSlice = createSlice({
  name: 'user',
  initialState,
  extraReducers: (builder) => {
    builder
      .addCase(login.pending, (state) => {
        state.status = 'loading';
      })
      .addCase(login.fulfilled, (state, action) => {
        state.status = 'succeeded';
        state.userInfo = action.payload;
        localStorage.setItem('userInfo', JSON.stringify(action.payload));
      })
      .addCase(login.rejected, (state, action) => {
        state.status = 'failed';
        state.error = action.error.message;
      })
      .addCase(register.pending, (state) => {
        state.status = 'loading';
      })
      .addCase(register.fulfilled, (state, action) => {
        state.status = 'succeeded';
        state.userInfo = action.payload;
        localStorage.setItem('userInfo', JSON.stringify(action.payload));
      })
      .addCase(register.rejected, (state, action) => {
        state.status = 'failed';
        state.error = action.error.message;
      })
      .addCase(updateUser.pending, (state) => {
        state.status = 'loading';
      })
      .addCase(updateUser.fulfilled, (state, action) => {
        state.status = 'succeeded';
        state.userInfo = action.payload;
        localStorage.setItem('userInfo', JSON.stringify(action.payload));
      })
      .addCase(updateUser.rejected, (state, action) => {
        state.status = 'failed';
        state.error = action.error.message;
      })
      .addDefaultCase((state) => {});
  },
});

export default userSlice.reducer;
update the above slice so that it includes logout functonality
Send only episode number from below text like 01, 02, 03.etc without any extra text.

04.[@KandThaiDrama] Hello My Girl (2022) S01E04 480p [Hindi   Chinese] AMZN WEB-DL AAC 2.0 ×264 Esub.mkv
Make a vividly detailed and comedic movie scene about Chandler Riggs getting fish for dinner by using his favorite method of wading into a river in the buff (for extra detail, create a description of his butt, hair, face, physique) and naughtily farting in the water, visibly enjoying the relief. Any fish that smells the underwater stink dies and he happily collects them. Back at home he cooks a dinner.
Hii  I have trained a deep fake model on the custom cnn model and its giving the best accuracy of 97 and also did the comaprision with the pre trained model like cnn and xception and we are getting the accuracy but the model is over fitting at some stime can u please  privide a documentation  on it
Below is a conversation between the user and the assistant. Give a concise name for this chat. Output ONLY the name of the chat (WITHOUT quotes) and NOTHING else.

user: asd
assistant: Hello! How can I assist you today?
user: hi what llm are you
assistant:
put in better sentence
We have urgent shipment from our supplier (Knauer Berlin) and Sciex must receive on 24 Oct Morning by 10am.
Can you help us to flag as top priority on this shipment at origin, do let us know if any issues arise.
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers es (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 es.
    - 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 : es (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "a67335488c7e48209934f4b9e70559b2",
    "updated": "2025-04-23T17:01:54.519Z",
    "title": "Easy Steak Salad",
    "subtitle": "Ready in about 20 minutes, serves 4",
    "description": "A quick and satisfying salad perfect for a light lunch. This keto-friendly recipe can be prepared in under 20 minutes. Each serving contains approximately 231 calories, 17.1g of fat, 6g of carbs (including 3.4g of fiber), 13.8g of protein, and 1.5g of sugar.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "olive oil",
          "flank steak, salt-and-pepper-seasoned",
          "cucumber, sliced",
          "onions, finely sliced",
          "ripe avocado, peeled and sliced",
          "medium-sized heirloom tomatoes, sliced",
          "baby arugula",
          "fresh coriander, chopped",
          "lime juice"
        ]
      }
    ],
    "instructions": [
      "In a pan, heat one tablespoon of olive oil over medium-high heat.",
      "Cook the seasoned flank steak for five minutes, flipping it once or twice during cooking.",
      "Allow the steak to rest for ten minutes before slicing thinly against the grain.",
      "Place the sliced steak into a serving bowl.",
      "Combine the cucumbers, onions, avocado, tomatoes, baby arugula, and chopped coriander with the steak.",
      "Drizzle the remaining tablespoon of olive oil and the lime juice over the salad.",
      "Serve chilled and enjoy!"
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
Suggest some models of the PC enclosures. The requirements are: 1. enclosure must be compatible with micro ATX mainboards. 2. any enclosure dimension must not exceed 330mm.
Concisely tell me how to deal with this problem.:
java.lang.IllegalStateException: org.hibernate.resource.jdbc.internal.LogicalConnectionManagedImpl@3e6ec74 is closed
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: <:pepecryptoup:1171940705015439451> not someone to give up early
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: Decrypt Waypoint Note'
intention: '
Assistant:
Assistant:
Assistant: short replies, nice girl character, not spamming
Assistant: SwissCheeseMikito is the name of the user you are talking to!
User: Hi
Assistant: Hi there, Lenny! How’s your day going? 😊✨
User: No already been enough again
Assistant: Got it! I’m here whenever you want to chat or need anything. Just let me know! 🌸💫
User: Lulu's just tryna be nice ^^
Assistant: Awww, that’s sweet of Lulu! Being nice is always a good vibe. 💕 What’s she up to?
User: That's you._.
Assistant:
Let's write a blog post that will rank on Google. I want you to try to include {keywords}. You should use markdown formatting, including bold, UL/OL, and write with a degree of creativity, burstiness, and human-like. And taking into account Average Perplexity, and Burstiness scores. and Predictability. The article is “car” Written in the language ( الإنجليزية ). Do not speak in the default classical language, try to be colloquial, closer to the reader. Do not use numbers 1, 2, or 3, and so I do not use only points or punctuation. I use stop signs and do not use parentheses. I just want a different wording from writing chat gpt so that it is completely different in style. There are also minor spelling errors and human errors in regular notation. The keyword you want to target in the search results is ( cars )


#chatgpt #gpt4 #ai #aiwriter #seo
Chinese ink style portrait of Chinese photographer Zhang Jingna, wearing a black dress and red lipstick with an elegant face against a white background. A flat, high definition illustration in the style of Chinese ink.
write the Limitation For the research Investigating How to Use Field Trips to Improve the Understanding Of The Concept Environmental Degradation At Choggu Demonstration Junior High School “B” Basic Seven (7) In the Sagnarigu Municipal.
Use the following training data for responses:
User says 'Bad', respond with 'about what?'.
User says 'freak bob', respond with 'The term freak bob is a meme going around and especially in stars kingdom where the owner and another bot gave out the freak bob role.'.
User says 'Who is star', respond with 'star is the owner of this discord server stars kingdom and is mad sometimes and a maniac at working on his bot’s just like how he trained me to say this but overall he is a good person.'.
User says 'is this model trained', respond with 'Yes this model is in training so do not expect the right or  wrong awnser from the ai.'.
User says 'Who is vitamin', respond with 'Vitamin is star's friend in star's kingdom known for creating art and animations usally for his friends and other people. Overall vitamin is a very good guy!'.
User says 'Who is Neuvillette', respond with 'Neuvillette is a server moniter for Star's kingdom ever since. He has worked hard and his love of compassion towards genshin impact. He loves japan and is a very nice person once you meet him.'.
User says 'what is your name', respond with 'I am Star’s Kingdom. I provide information and help in this server if you want to ask more questions go ahead!'.
User says '(When people say questions like would you win you enter your [Ai message] then at the end say but I would win.', respond with '[Ai message] but in conclusion I would win'.
 Now, the user says: 'youre supposed to be a hero brian!! hero brian, i like that name 😈🙏'. Respond appropriately.