agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Create a long detailed text about actor Jean-Claude Van Damme with the following summary. Stick to the information i give you and dont create new information. Focus only on the Subject name and there following Summary. Subject Name: [Career Decline & Substance Abuse] Summary: [During this period, Van Damme's career began to falter, a decline that coincided with an increasingly destructive cocaine habit. Admitting to a daily consumption that would stun most, the cost of his addiction soared to staggering amounts, severely impacting his finances and health.]

        Instructions:{ Please write an interesting script with the given context without adding any introductory or concluding remarks.
        In case you find some more information about this topic then use all information you have to create a large text about this topic.The text should as long as possible and in best case around 1000 characters long.
        Ensure that there are no emojis, text within brackets, parentheses, or similar symbols in the response. 
        Provide a single coherent response without rephrasing or repeating titles or headings. Avoid enumerations or bullet points. 
        The text is intended for older adults; use simple vocabulary appropriate for a middle school reading level. Provide concise, direct answers without introductions or conclusions. 
        Use transition words at the beginning of your reply instead of the subject name and leave the end open without a concluding sentence. 
        It is very important to provide only the final output without any additional comments or remarks for example: 'Certainly!' Here's the revised text.
         
        Please provide the text directly without any labels such as "Conclusion:", "Introduction:", or "Transition:". Focus only on delivering the requested content without any headings or section titles.
        Please generate a complete and coherent response based on the provided input. Ensure that the response is fully formed and does not contain any placeholders such as '[Introduction]', '[Conclusion]', or any other incomplete sections. 
        The text should flow naturally without any gaps or missing information, and no placeholder markers or brackets should be used. 
        Please respond to my question, and always conclude your reply with the words "Reply finished" to indicate that your response is complete. 
        Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.}
         Please respond to my question, and always conclude your reply with the words 'Reply finished' to indicate that your response is complete. Ensure that the text is fully formed without any placeholders such as '[Conclusion]' or '[Placeholder]'. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.
System: 
You will receive a question-answer pair. Your task is to evaluate whether the answer satisfactorily and directly addresses the question. Use the examples below to guide your assessment.

If the answer is precise, relevant, and can answers the question, return 1. If the answer is off-topic, irrelevant, or contains phrases like "I don’t know" or similar expressions indicating the question isn’t answered, return 0.

Examples:

Example 1:
Question: "Who was the first person to walk on the moon?"
Answer: "The first person to walk on the moon was Neil Armstrong in 1969."
Result: 1

Example 2:
Question: "Who was the first person to walk on the moon?"
Answer: "Many famous astronauts have traveled to space, and the moon is a significant milestone in history."
Result: 0

Example 3:
Question: "What is the primary cause of global warming?"
Answer: "I don’t know."
Result: 0

Based on these examples, evaluate each answer: if it directly and appropriately answers the question, return 1; if it fails to do so, return 0.

User: Question: Thời gian nào sinh viên cần cung cấp thông tin cá nhân để nhận học bổng KKHT?
Answer:Sinh viên cần cung cấp thông tin cá nhân từ ngày 06/09/2022 đến hết ngày 10/09/2022 để nhận học bổng KKHT học kỳ 1 năm học 2021-2022.
Result only 0 or 1. Don't add anything else:
Assistant:
Let you be very good at math.

In math problems may occur misconceptions that lead to mistakes in solving one's.
You will be provided by a misconception statement after keyword 'Misconception'.
Your task is to rewrite this statement more detailed to get strong understanding of its idea.
Misconception: Does not realise multiplying a variable by itself results in a power of that variable
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":["pratfall","prat fall","игра полный провал онлайн","game pratfall"],"description":["pratfall is a cool maze game in which you'll have to help your hero to reach the exit in each level. guide him and make sure he follows the right direction in game. jump, fall down but don't leave the screen or you'll have to start over. good luck!","pratfall, a free online puzzle & skill game brought to you by armor games. elmer finds himself dressed as a clown, falling through the clouds until... *crash*! he lands in an escher-inspired dream world. he must learn how he arrived there by tracking down hidden words that will him to unscramble his story. seventeen levels of mind-bending puzzles, including optical illusions, gravity-bending stairs, and portals. gotta have portals. *play in ff, chrome, or edge. ie 11 is not supported.*","elmer finds himself dressed as a clown, falling through the clouds until... *crash*! he lands in an escher-inspired dream world. he must learn how he arrived there by tracking down hidden words that will him to unscramble his story. seventeen levels of mind-bending puzzles, including optical illusions, gravity-bending stairs, and portals. gotta have portals.","с вами хочет познакомится неуклюжий клоун. его номера совершенно не смешные и вскоре его могут выгнать из цирка. артисту срочно необходим новый оригинальный номер. он придумал прогулку по пирамиде из блоков, но постоянно сворачивает не туда и падает. помогите герою добраться до точки с белой бумажкой.","pratfall is a 3-dimensional mind-bending puzzle game, get to the exit without falling over or falling off the platform. help your hero to walk in the right direction. then, jump and don't fall down to reach the exit. good luck!","there are many ways to get something you want. but in this game each level brings complicated and plain solutions in the same time."],"genre":["platform","мышление","platform games","экшн-игры и приключения","games","obstacles games","online games"]}```
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: Our net income and cash flow may be adversely affected by conditions affecting income taxes which are outside our control. Examples of the potential uncontrollable circumstances that could affect our tax rate are as follows:_
Assistant:
rewrite code to predict in next nTimeStep , the data bigger than pervious data 
"clc
clear all
close all

% Stock Morket/Exchange Forecasing Using LSTM
% A sequence-to-sequence regression LSTM Network.
% This Example uses the data set of Tehran Stock in 2022.

%% Step1: load and Prepare Data

[Xtrain,YTrain,Params] = LoadPrepareData2();


%% Step2: Create a LSTM network
NumHiddenUnits = 100;
Layers = [
    sequenceInputLayer(1)

    lstmLayer(NumHiddenUnits,...
    "InputWeightsInitializer",'zeros',...
    'RecurrentWeightsInitializer','he')
   

    fullyConnectedLayer(1)

    regressionLayer];

%% Step3: Training Options
maxEpochs = 4000;
InitialLearnRate = 0.04;
Options = trainingOptions("adam",...
    "Plots","training-progress",...
    'MaxEpochs',maxEpochs,...
    'InitialLearnRate',InitialLearnRate,...
    'LearnRateSchedule','piecewise',...
    'LearnRateDropPeriod',100,...
    'LearnRateDropFactor',0.9,...
    'ExecutionEnvironment','gpu',...
    'Shuffle','never');

%% Step4: Train the Network

LstmNet = trainNetwork(Xtrain,YTrain,Layers,Options);
%% Step5: Forecasting the Test Data
nTimeStep = 38;
YPredict = ForecastingWithPredictedValues(...
    LstmNet,Xtrain,nTimeStep,Params);

function YPredict = ForecastingWithPredictedValues(LstmNet,Xtrain,nTimeStep,Params)


LstmNet = resetState(LstmNet);
LstmNet = predictAndUpdateState(LstmNet,Xtrain);
[LstmNet,YPredict(:,1)] = predictAndUpdateState(LstmNet,Xtrain(end));

for i = 2:nTimeStep

    [LstmNet,YPredict(:,i)] = predictAndUpdateState(LstmNet,YPredict(:,i-1));%#ok

end



%% Unstandadize the predictions 
Xtrain = Xtrain*Params.s + Params.m;
YPredict = YPredict*Params.s + Params.m;



%% Plot


figure,plot(Xtrain,'LineWidth',2);
hold on

idx = numel(Xtrain):(numel(Xtrain) + nTimeStep);
plot(idx,[Xtrain(end) YPredict],"LineWidth",2,'LineStyle','-')
xlabel('Time [Day]')
ylabel('Close Values')
title('LSTM Forecasting')
legend('Observed','Forecasted')

"
id like to build a game using python can you help me do that
User: hi
Assistant: Hi! How can I assist you today?
User: 😎
User: ~help
Assistant:
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 report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
User: 'prompt:I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
Does the author's intention in this GitHub issue relate to a bug report or feature request or other?
issue: Android runs at 30fps'
intention: '
Assistant:
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers fr (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 fr.
    - 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 : fr (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "7e90c1364bb54c5395926f179ef0422e",
    "updated": "2025-04-24T10:32:01.717Z",
    "title": "Sugar Snap Peas with Mustard Seeds and Tarragon",
    "subtitle": "A subtle blend of spices hints at Indian flavors, while the tarragon provides a distinctly European touch.  The seasoning is kept light to showcase the natural sweetness of the sugar snap peas.",
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "yellow mustard seeds",
          "cumin seeds",
          "extra-virgin olive oil",
          "sugar snap peas, strings pulled off",
          "kosher salt and freshly ground black pepper",
          "unsalted butter",
          "finely grated lemon zest",
          "lemon",
          "lightly packed tarragon leaves",
          "lightly packed flat-leaf parsley leaves"
        ]
      }
    ],
    "instructions": [
      "In a small skillet over medium heat, toast the mustard and cumin seeds. Shake the pan frequently to prevent burning and cook until fragrant, approximately 4 minutes.",
      "Be mindful of the mustard seeds, as they may pop.",
      "Transfer the toasted seeds to a plate to cool.",
      "Add a small amount of olive oil to a large skillet over medium-high heat.",
      "Add the sugar snap peas, season lightly with salt and pepper, and sauté for one to two minutes.",
      "Pour 1/4 cup of water into the skillet and immediately cover.",
      "Steam the snap peas for about a minute, then remove the lid.",
      "The peas should be nearly crisp-tender.",
      "Once the water has evaporated, incorporate the butter and toasted seeds.  Cook for an additional minute.",
      "Remove the skillet from the heat and stir in the lemon zest, a generous squeeze of lemon juice, the tarragon, and parsley.",
      "Taste and adjust the seasoning as needed with additional salt, pepper, or lemon juice.",
      "Serve warm."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[ @FridayUniverse ] Breaking Bad S03E09 1080p 10bit.mkv
Draw me a psychological picture
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": "3e4ce7eb041f4fa483ceb3fd310542f9",
    "updated": "2025-04-26T00:38:47.198Z",
    "title": "Jalapeño Cornbread Stuffing",
    "subtitle": null,
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "milk",
          "egg",
          "honey",
          "jalapeño pepper, seeded and finely chopped",
          "unsalted butter",
          "cornmeal",
          "all-purpose flour",
          "low-sodium baking powder",
          "sliced mushrooms",
          "sage",
          "freshly ground black pepper to taste"
        ]
      }
    ],
    "instructions": [
      "Set your oven to 350°F.",
      "Lightly grease an 8-inch square baking pan or a loaf pan of comparable size.",
      "In a large bowl, whisk together the milk, egg, honey, and chopped jalapeño until well combined.",
      "Melt 3 tablespoons of butter and incorporate it into the milk mixture.",
      "In a separate bowl, whisk together the cornmeal, flour, and baking powder. Then, add the dry ingredients to the wet ingredients.",
      "Mix until the dry ingredients are just incorporated.",
      "Pour the batter into the prepared pan and bake for 20 to 25 minutes, or until a toothpick inserted into the center comes out clean.",
      "Let the cornbread cool completely.",
      "In a small skillet, melt the remaining butter.",
      "Add the mushrooms and 1 teaspoon of sage to the skillet. Cook over medium heat, stirring frequently, for approximately 3 minutes, or until the mushrooms soften and absorb the butter.",
      "Crumble the cooled cornbread into a large bowl. Add the cooked mushrooms, the remaining sage, and black pepper.",
      "Mix everything together thoroughly."
    ],
    "notes_ingredients": "Using a whole jalapeño pepper gives this recipe a significant kick; reduce the amount for a milder flavor.",
    "notes_instructions": null
  }
]
Be able to describe the regulatory gray area around cannabis sales and how that has created challenges in sales,
regulation and patient care in pharmacy
Create a long detailed text about actor Mr. T with the following summary. The title of the video is"Lorenzo Lamas, Is Only A Shadow Of His Former Self". Stick to the information i give you and dont create new information. Focus only on the Subject name and there following Summary. Subject Name: [Mr. T] Summary: [ever come across a bad guy persona then you missed out on the 80s Classic Mr. T Lawrence Tureaud a former wrestler had spectacular acting debuts and TV shows including 'The A-Team' and 'Rocky III' (1982) where he played boxer Clubber Lang his function as BA Baracus received several awards for his work on 'The A-Team' his line 'I pity the fool' from Rocky 3 was lifted and used again in several titles including the 2006 reality program 'I Pity the Fool' he is well known for his signature haircut greatly inspired by West African Mandinka soldiers after 1995 Mr. T had to battle with serious health problems 'Cancer Ain't for No Wimps' is the book he wrote on compiling his experiences the 68-year-old took part in 'Dancing with the Stars' as recently as 2017 and we're happy to see that he chooses to remain active rather than sit on his money]

            Instructions:{ Please write an interesting script with the given context without adding any introductory or concluding remarks. 
            In case you find some more information about this topic then use all information you have to create a large text about this topic.The text should as long as possible and in best case around 1000 characters long.
            Ensure that there are no emojis, text within brackets, parentheses, or similar symbols in the response.
            Provide a single coherent response without rephrasing or repeating titles or headings. Avoid enumerations or bullet points. 
            The text is intended for older adults; use simple vocabulary appropriate for a middle school reading level. Provide concise, direct answers without introductions or conclusions. 
            Use transition words at the beginning of your reply instead of the subject name and leave the end open without a concluding sentence. 
            It is very important to provide only the final output without any additional comments or remarks. 
            Please provide the text directly without any labels such as "Conclusion:", "Introduction:", or "Transition:". Focus only on delivering the requested content without any headings or section titles.
            Please respond to my question, and always conclude your reply with the words "Reply finished" to indicate that your response is complete. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.}
         Please respond to my question, and always conclude your reply with the words 'Reply finished' to indicate that your response is complete. Ensure that the text is fully formed without any placeholders such as '[Conclusion]' or '[Placeholder]'. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.
Create a hybrid model in which three different methods are incorporated to capture the linear and nonlinear features as well as other characteristics existing in the pertinent empirical time series with a designated weight comprisedof a genetic algorithm for oil brent crude in R notebook for Google colab,  not just a simple strategy but an evolved and advanced one help to identify patterns in data that would be invisible to humans. With display systems are almost always transparent. This can make it convenient for traders to understand how they work and why they make the decisions they do. This can help traders to make more informed decisions about when to buy and sell assets.
The hybriod model for Brent crude oil you are creating a script for will incorporate the method. First method uses the ANFIS. In the second method, long-memory time series with autoregressive process is employed. Markov-switching model is also used as the third method. The ARFIMA model mainly captures linear relationships and patterns while the ANFIS and Markov-switching effectively model nonlinear relationships.

The script small designating a weight factor for each individual model plays a pivotal role in improving the accuracy of the hybrid model. You shal thenceforth apply a multi-objective genetic algorithm for each model. Therefore, the individual models (ANFIS, ARFIMA, and Markov-switching) are weighted by generated by a multi-objective genetic algorithm to ascertain the paramount hybrid model with the least forecasting error. this model made from the script you are preparing to write for me models for me oil brent crude comprising not just a simple strategy but an evolved and advanced one help to identify patterns in data that would be invisible to humans. With display systems are almost always transparent. This can make it convenient for traders to understand how they work and why they make the decisions they do. This can help traders to make more informed decisions about when to buy and sell assets
Hi whats your name
Send only resolution from below text like 1080p, 720p.etc without any extra text,
        
[Toonworld4all] Naruto - 125 [480p BD x264 Multi Audio] ESub.mkv
Send only episode number from below text like 01, 02, 03.etc without any extra text.

valeria.s04e06.480p.web.x264.rmteam.mkv