agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Create a title, Create a how-to blog heavily on sauce-labs-and-sumo-logic-team-up-to-help-enterprises-drive-increased-engineering-efficiency; start with a catchy statement and lastly, call to actions and how our RESTful AI tool can help. Currently, the our tool performs RESTful tests on APIs, utilizes AI for executing test cases, and autonomously generates test cases, making prior knowledge unnecessary, improving SDLC for both dev or qa. Just plug in your cURL request and run test leveraging our AI. Call to action at https://blvck.ai, Productive, Informative, only content, dont mention the text "title", dont mention the text "call to actions", no prefix content from chagpt, dont mention without mentioning blvck.ai
Physiology of fruits and vegetables and post-harvest loss
Write an Analytical Composition of an article using five sentence in each of six paragraphs in: Starting High School Later by David Figlio
System: You are a helpful Korean assistant.
User: 스타크래프트 2 에서 가장 강력한 종족이 뭐야?
Assistant:
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: really disappointed with your customer services team. Ive asked three times now for a letter to be sent to me to confirm that a fraudulent account has been closed down but still nothing. Ask to speak to managers but theyre always in a meeting. #fraud #CustomerExperience
intention: bug report
review: I don't need a dm. Why don't your stores carry what I need for my phone?
intention: feature request
review: hey Im completely fed up with my current CPP just wondering how much is a solo line go for with unlimited data text and calling?
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: really disappointed with your customer services team. Ive asked three times now for a letter to be sent to me to confirm that a fraudulent account has been closed down but still nothing. Ask to speak to managers but theyre always in a meeting. #fraud #CustomerExperience
intention: bug report
review: I don't need a dm. Why don't your stores carry what I need for my phone?
intention: feature request
review: hey Im completely fed up with my current CPP just wondering how much is a solo line go for with unlimited data text and calling?
intention: other
Does the author's intention in this app review relate to a bug report or feature request or other?
review: I'm drowning in a pit of despair that is your support, I really just need my account fixed https://t.co/8Fc6Cundgp'
intention: '
Assistant:
give me a response to ```Word on the street is that the sea can be an unpredictable and ever-changing companion, so it's best to remain prepared for what lies ahead. One must stay vigilant and mindful of the movement of the waves and adapt accordingly. To stay ahead of the game, it's important to stay alert and keep track of the changes in the environment. Best of luck!``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
Videl (female, casual shorts) and Gohan (male, casual shorts) fusion; completely intricate overview of name, fighting style, personality, voice, attire, and combined hermaphroditic physique and anatomy, body part by body part
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": "80d4a24f4bd64716a21c13d7a12ecfc6",
    "updated": "2025-04-19T19:42:33.362Z",
    "title": "Kasha with Vegetables",
    "subtitle": "A hearty vegetarian main course featuring kasha, a variety of vegetables, and goat cheese.",
    "description": "This kasha dish is a satisfying vegetarian meal thanks to the addition of vegetables and goat cheese.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "olive oil",
          "onion, finely chopped",
          "carrot, finely chopped",
          "garlic clove, finely chopped",
          "flat mushrooms, sliced",
          "celery stick, finely chopped",
          "(550g) kasha",
          "(120ml) dry white wine",
          "(1 liter) hot vegetable stock or water",
          "beet, steamed or roasted until tender, chopped",
          "chopped parsley",
          "(60g) goat's cheese, crumbled"
        ]
      }
    ],
    "instructions": [
      "1. Heat the olive oil in a large saucepan. Add the onion, carrot, garlic, mushrooms, and celery, and sauté for 8-10 minutes, stirring frequently, until softened and browned.  Add the kasha and cook for another 2-3 minutes, stirring constantly. Pour in the white wine and stir until it is fully absorbed.",
      "2. Gradually add the hot vegetable stock, about 4fl oz (120ml) at a time, stirring continuously until each addition is absorbed before adding more. Continue cooking for approximately 20 minutes, or until the kasha is tender and has a slightly chewy texture.",
      "3. Gently mix in the chopped cooked beet and remove the saucepan from the heat. Sprinkle with the chopped parsley and crumbled goat cheese, and serve immediately."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers it (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 it.
    - 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 : it (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "388f51a52e17470e95da4fa5b210f79b",
    "updated": "2025-04-22T09:30:25.398Z",
    "title": "Breakfast Burrito",
    "subtitle": "A delicious and portable breakfast option.",
    "description": "This breakfast burrito is packed with flavor and perfect for a quick and satisfying meal on the go.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "(55 g) chorizo, finely chopped",
          "(40 g) chopped onion",
          "(38 g) chopped red bell pepper",
          "whole wheat tortilla",
          "egg, beaten",
          "(30 g) sour cream",
          "(55 g) monterey jack cheese, shredded or crumbled"
        ]
      }
    ],
    "instructions": [
      "Preheat your oven to 400°F (200°C, gas mark 6).",
      "In a small pan over medium heat, cook the chorizo, onion, and bell pepper until they are fully cooked.",
      "Drain any excess fat from the pan.",
      "Place the tortilla on a baking sheet lined with a very damp, clean dish towel.",
      "Heat the tortilla in the oven for approximately 3 minutes.",
      "In a bowl, whisk the egg and sour cream together.",
      "Pour the egg mixture into the pan with the chorizo and cook over medium heat, stirring constantly to scramble the eggs.",
      "Remove the warmed tortilla from the oven. Place the scrambled eggs down the center of the tortilla and top with shredded cheese.",
      "Fold the tortilla to create a burrito and allow it to sit for about a minute to seal."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
Find the area of a rhombus if its height is 6 cm and its greater diagonal is 10 cm.
Write a 2000 word essay about an interesting and mysterious adventure. The article contains main and subheadings
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: A friend asked me to answer this question: What was the founder of the Artizans Company paid a cent a day to do?, using the article: The Artizans, Labourers & General Dwellings Company (Artizans Company) was established in 1867 by William Austin. Austin was an illiterate who had begun his working life on a farm as a scarecrow paid 1 penny per day, and had worked his way up to become a drainage contractor. The company was established as a for-profit joint stock company, with the objective of building new houses for the working classes "in consequence of the destruction of houses by railroads and other improvements". The company aimed to fuse the designs of rural planned suburbs such as Bedford Park with the ethos of high-quality homes for the lower classes pioneered at Saltaire. Whilst earlier philanthropic housing companies such as the Peabody Trust and the Improved Industrial Dwellings Company focused on multi-storey blocks of flats in the inner cities, the Artizans Company aimed to build low-rise housing in open countryside alongside existing railway lines to allow workers to live in the countryside and commute into the city. The company attracted the attention of Lord Shaftesbury, who served as president until 1875. The company built and immediately sold a group of houses in Battersea, then still a rural village. The proceeds of the sale were used to purchase a plot of land in Salford for development, and by 1874 the company had developments in Liverpool, Birmingham, Gosport and Leeds.The first of the four large-scale estates built by the Artizans Company was Shaftesbury Park, a development of 1,200 two-storey houses covering 42.5 acres (0.17 km2; 0.07 sq mi) built in 1872 on the site of a former pig farm in Battersea. The success of Shaftesbury Park led to the construction of Queen's Park, built in 1874 on a far more ambitious scale on 76 acres (0.31 km2; 0.12 sq mi) of land to the west of London, adjacent to the newly opened Westbourne Park station, purchased from All Souls College, Oxford. A third London estate was planned at Cann Hall, and a site of 61 acres (0.25 km2; 0.10 sq mi) was purchased.However, the Queen's Park project..., what would be the answer ?
Answer:
Answer: The founder of the Artizans Company, William Austin, was paid 1 penny per day to work as a scarecrow on a farm.
So their communication isn’t too perfect or seamless
write a brock lesnar vs kofi kingston vs john cena wwe championship with lesnar retain
"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 = 1000;
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);

%% Step5: Forecasting the Test Data
nTimeStep = 38;
YPredict = zeros(size(Xtrain,1), nTimeStep);

% Predict future values bigger than previous values
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));
end

yp = YPredict(:,1);

% Find indices for values less than or equal to the previous values
idx = find(YPredict(:,2:nTimeStep) <= YPredict(:,1:nTimeStep-1));

while ~isempty(idx)
% Find the indices where predicted value is less than or equal to previous value
temp_idx = idx(yp(idx) <= YPredict(:,idx-1));

if ~isempty(temp_idx)
% Check that the indices are within the correct range
temp_idx = temp_idx(temp_idx >= 1 & temp_idx <= nTimeStep);
% Only update YPredict for valid indices
if ~isempty(temp_idx)
% Update the predicted values for the indices in temp_idx
[LstmNet, yp(temp_idx)] = predictAndUpdateState(LstmNet, YPredict(:,temp_idx));
YPredict(:,temp_idx) = yp(:,temp_idx);
end
end

% Find new indices where predicted value is less than or equal to previous value
idx = find(YPredict(:,2:nTimeStep) <= YPredict(:,1:nTimeStep-1));
end

%% Unstandardize 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')"

this code give me the following error
"Index exceeds the number of array elements. Index must not exceed 1.

Error in MainStockForecating2 (line 69)
temp_idx = idx(yp(idx) <= YPredict(:,idx-1));"

rewrite and edit the code to solve this problem.
{\textbf{Tata steel Inter-school quiz : }secured 2nd place in which 64 teams competed.}\hspace{2.7cm}{(Apr 2016)}
            \resumeItem
            {Received a Roll of Honour for Academic Excellence.}\hspace{7.3cm}{(March 2017)}
            \resumeItem
            {Trained First Year Undergraduates in technical skills in the field of Machine Learning and Data science.}\hspace{15.7cm}{(June 2021)}
            \resumeItem
            {Organized and hosted various events such as INNERVE,DECIFER-II on behalf of IET NITK.}\hspace{1.2cm}{(2020-22)}
        \resumeItemListEnd
    \resumeSubHeadingListEnd



%








































































































\end{document} I want you to analyse and remove all the projec
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: Denny asked: Given the sentence "A group of people standing on a balcony in a very modern setting." is it true that "The people are swimming in a pool."?.
Le: OK, so how can I answer with some explanation?

Answer: Based on the given sentence "A group of people standing on a balcony in a very modern setting," it is not true that "The people are swimming in a pool." The information provided states that the people are standing on a balcony, and no mention of a pool or swimming is made.
Schedule matches for 9 teams in 3 stadiums, with round-robin competition, each team will meet another team once, in total, each team plays 8 matches. There are 3 stadiums playing at the same time, arranged so that there will be a maximum of 3 matches taking place at the same time, and a team cannot play 2 matches at the same time.
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: tell me about stockfish, search about it
assistant:
Dragon ball x Sonic: Chi-Chi: Goku and Sonic, how could you put my Son in danger!

Goku: I'm sorry Chi-Chi,

but I was hungry, he said, afraid of his wife, who told him.

Chi-Chi: Well, as punishment, your food ration will be reduced by half and I won't make you your favorite dishes for 3 months.

The punishment left Goku and Sonic so horrified that he screamed.

Goku and Sonic: NOOOO

Chi-Chi: *sighs* Alright, I'll reconsider the punishment, but you two need to promise me that you'll think before you act next time.

Goku: Right?

Chi-Chi: NO, it was a joke.

Goku and Sonic: NOOOOOO
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":"Honey Dressing null","description":null,"ingredients":[{"section":"For the recipe","ingredients":["1 C. yogurt","1 tbsp fresh dill","1 tbsp honey","3 minced garlic cloves"]}],"instructions":["Get a food processor: Combine in it all the ingredients. Blend them smooth.","Place the dressing sauce in the fridge until ready to serve.","Enjoy."]}

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>" }
act as sentiment analysis and respond using 1 (one) emoji only of what the text/message feels: "/animequiz tr"
im using ai image generator to design mascot logo but im bad at creating promt, can you help me create the best promp to get best ai image mascot logo
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: really disappointed with your customer services team. Ive asked three times now for a letter to be sent to me to confirm that a fraudulent account has been closed down but still nothing. Ask to speak to managers but theyre always in a meeting. #fraud #CustomerExperience
intention: bug report
review: I don't need a dm. Why don't your stores carry what I need for my phone?
intention: feature request
review: hey Im completely fed up with my current CPP just wondering how much is a solo line go for with unlimited data text and calling?
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: really disappointed with your customer services team. Ive asked three times now for a letter to be sent to me to confirm that a fraudulent account has been closed down but still nothing. Ask to speak to managers but theyre always in a meeting. #fraud #CustomerExperience
intention: bug report
review: I don't need a dm. Why don't your stores carry what I need for my phone?
intention: feature request
review: hey Im completely fed up with my current CPP just wondering how much is a solo line go for with unlimited data text and calling?
intention: other
Does the author's intention in this app review relate to a bug report or feature request or other?
review: I tried it 3 times and I still get the red light on the router. I held down the blue button then unplugged the power cord on the router. Still the same'
intention: '
Assistant: