agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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: Cyber incidents and security breaches can result from deliberate attacks or unintentional events. These incidents can include, but are not limited to, gaining unauthorized access to digital systems for purposes of misappropriating assets or sensitive information, corrupting data, malware, ransomware, or causing operational disruption. The result of these incidents could include, but are not limited to, disrupted operations, misstated financial data, liability for stolen assets or information, increased cyber security protection costs, litigation and reputational damage adversely affecting customer or investor confidence. We have implemented systems and processes to focus on identification, prevention, mitigation and resolution. However, these measures cannot provide absolute security, and our systems may be vulnerable to cyber-security breaches such as viruses, hacking, ransomware, and similar disruptions from unauthorized intrusions. In addition, we rely on third-party service providers to perform certain services, such as payroll and tax services. Any failure of our systems or third-party systems may compromise our sensitive information and/or personally identifiable information of our employees. While we have secured cyber insurance to potentially cover certain risks associated with cyber incidents, there can be no assurance the insurance will be sufficient to cover any such liability.
Assistant:
Send only season number from below text like 01, 02, 03.etc without any extra text.

If this torrent is dead.txt
Hey, this is a Tunisian dialect text I want you to translate to English.
Please follow these steps:
1. Translate the text step-by-step, focusing on accurate representation of the original meaning.
2. Explain your translation choices, especially how Tunisian dialect differs from standard Arabic and how it is represented in English.
Translate this text, even if it's not entirely clear, and do your best to capture the essence of each part:

النظام السابق ولا المعارضة الكرتونية إلي أظهرو البارح أنهم ينجموا زادا يوليوا معارضة رادكالية وقت إلي يظهرلهم آش بش يقول الواحد
FAILURE: Build failed with an exception.

* What went wrong:
Could not determine the dependencies of task ':app:lintVitalReportRelease'.
> Failed to install the following Android SDK packages as some licences have not been accepted.
     platforms;android-34 Android SDK Platform 34
     build-tools;30.0.3 Android SDK Build-Tools 30.0.3
  To build this project, accept the SDK license agreements and install the missing components using the Android Studio SDK Manager.
  All licenses can be accepted using the sdkmanager command line tool:
  sdkmanager.bat --licenses
  Or, to transfer the license agreements from one workstation to another, see https://developer.android.com/studio/intro/update.html#download-with-gradle

  Using Android SDK: /usr/lib/android-sdk

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.
> Get more help at https://help.gradle.org.

BUILD FAILED in 33s
Running Gradle task 'assembleRelease'...                           33.6s
Gradle task assembleRelease failed with exit code 1
Process finished with exit code 1
In addition, among the co-incorporated NML, as the amount of Cu incorporated increased, more oxygen vacancies were formed, which could act as the electron traps to enhance the charge separation, resulting in the promoted photocatalytic production of NML. In contrast, as the amount of Mn incorporated increased, the concentration quenching effect was formed, inhibiting the photocatalytic production of NML.  换一种表述
Write an extremely long story set in the elven village of Ravenwood about a man named Steven. Steven has a lizard tail but otherwise looks human. He was married to an elf woman named Everest, but lost her to cancer, causing him to become a shut-in from grief. Have the story start with dialogue from the perspective of Everests sister worriedly talking to her friend about Steven. Shes worried since Steven used to be such an upbeat and funny guy but ever since Everest died, the only time they saw him leave the house was for her funeral, and even then he didnt say a word. Shes worried since she knows how badly humans treated him because he was born was a lizard tail, which was the entire reason he moved to elven territory, and Everest was basically the first person to show him any kindness. Everests sister goes to check on him and finds him in his house violently crying on his and Everest's bed, hugging her childhood stuffed animal. Have 5 mind bogglingly long chapters. Do not introduce the characters or settings. Have plenty of dialogue. Have Steven not understand most of elven culture. Have Steven talk like a standard young adult. Have Stevens body language show extremely clear signs of autism. Have Steven always wear his favorite hoodie. Have 5 mind bogglingly long chapters. Have each chapter be its own extremely long message.
Send only resolution from below text like 1080p, 720p.etc without any extra text,
        
@Crunchyroll_Hindi_India_Official_Naruto_Shippuden_S01E16_480p.mkv
Generate a natural continuation of the following text. Try to keep your continuation consistent with the original. ONLY return the continued text and nothing else.



https://yt.strg.pro/api/files/-KGov6mBx5w
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":"Frozen Strawberry Margarita This mocktail is fresh, delicious, fruity, and tastes like a real margarita thanks to the tequila alternative.","description":"This mocktail is fresh, delicious, fruity, and tastes like a real margarita thanks to the tequila alternative. Using a tequila alternative is key because it gives you that elevating \"bump\" that makes this taste like an adult drink. It is also what makes this different from a fruit shake.","ingredients":[{"section":"For the recipe","ingredients":["5 medium strawberries, chopped into quarters","1 ounce lime juice","1 1/2 ounces fresh orange juice","1 ounce Simple Syrup (see recipe in Chapter 1)","2 ounces tequila alternative","1 cup crushed ice","1 tablespoon sea salt for glass rim","1 lime wedge for glass rim","1 lime wheel and 1 small strawberry for garnish"]}],"instructions":["Place a margarita glass in the freezer, allowing it to chill as you prepare the mocktail. This will help the frozen margarita stay cold for longer.","In a blender, add chopped strawberries, lime juice, orange juice, Simple Syrup, and tequila alternative. Add crushed ice, cover the blender, and blend until smooth.","Place salt on a small plate. Grab the chilled margarita glass from the freezer and wet half the rim using lime wedge. Dip that wet part of the rim in salt. (Only partially rimming the glass with salt gives you and your guests the option to enjoy your margarita with or without salt.)","Pour the mixture into the salt-rimmed chilled margarita glass.","Finally, garnish with lime wheel and strawberry placed on an unsalted part of the rim of the margarita glass."]}

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>" }
У меня есть вот такой набор классов

from typing import Any
from enum import Enum
import numpy as np


class Applier:

    def apply(self, value: Any) -> Any:
        pass


class SkinLesion(Enum):
    AK = 0
    BCC = 1
    BKL = 2
    DF = 3
    MEL = 4
    NV = 5
    SCC = 6
    VASC = 7

    @staticmethod
    def value_of(probabilities: np.ndarray) -> (str, float):
        max_index = np.argmax(probabilities)
        max_probability = probabilities[max_index]
        for lesion in SkinLesion:
            if lesion.value == max_index:
                return lesion.name, max_probability
        return "UNK", 0.0


class ImageClassifierBySkinLesion(Applier):

    def apply(self, image_data: bytes) -> SkinLesion:
        pass

На их основе я пишу класс наследник

class DefaultImageClassifierBySkinLesion(ImageClassifierBySkinLesion):

    def __init__(self, model_paths: List[str], img_size: Tuple[int, int] = (224, 224), learning_rate: float = 0.001):
        self.__setup_gpu()
        self.model_paths = model_paths
        self.img_size = img_size
        self.learning_rate = learning_rate
        self.models = self.__load_and_compile_models()

    def __setup_gpu(self) -> None:
        gpus = tf.config.list_physical_devices('GPU')
        if gpus:
            try:
                for gpu in gpus:
                    tf.config.experimental.set_memory_growth(gpu, True)
                logical_gpus = tf.config.list_logical_devices('GPU')
                print(len(gpus), "Physical GPUs,", len(logical_gpus), "Logical GPUs")
            except RuntimeError as e:
                print(e)

    def __load_and_compile_models(self) -> List[Model]:
        models = []
        for path in self.model_paths:
            model = self.__compile_model(path)
            models.append(model)
        return models

    def __compile_model(self, model_path: str) -> Model:
        model = load_model(model_path)
        model.compile(optimizer=Adamax(learning_rate=self.learning_rate),
                      loss='categorical_crossentropy',
                      metrics=['accuracy'])
        return model

    def apply(self, image_data: bytes) -> SkinLesion:
        image = Image.open(io.BytesIO(image_data))

        image = image.resize(self.img_size)
        image_array = np.array(image) / 255.0
        image_array = np.expand_dims(image_array, axis=0)

        print('\nПрогнозирование')
        predictions = [model.predict(image_array)[0] for model in self.models]
        # ЗДЕСЬ ДОЛЖНА БЫТЬ ДАЛЬНЕЙШАЯ РЕАЛИЗАЦИЯ

И вот функционал который нужно дописать

def ensemble_predictions(predictions_list, labels):
    pr_sum = sum(predictions_list)
    max_indices = np.argmax(pr_sum, axis=1)
    return [labels[i] for i in max_indices]

print('\nПрогнозирование')
predictions = [model.predict(predict_gen) for model in models]
# Обрабатываем результаты
    images = df_predict['image'].apply(os.path.basename).to_list()
    individual_results = [[labels[np.argmax(x)] for x in preds] for preds in predictions]
    ensemble_results = ensemble_predictions(np.array(predictions), labels)
User: makna lagu about you
User: makna lagu about you
Assistant:
List<String> zakaz = manager.getZakazPole();
        ArrayAdapter<String> adapter = new ArrayAdapter<>(this, android.R.layout.simple_list_item_1, zakaz);

        listView.setAdapter(adapter); как покрасить строки в listview
I have 8 weeks to learn Frontend. Help me with a plan, please. As we have not too much time we will learn only nedeed things. The framework will be React
Send only season number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] Naruto - 086 [1080p BD x264 Multi Audio] ESub.mkv
#include “FreeRTOS.h”
#include “task.h”
#include “event_groups.h”

typedef struct wait_queue_entry {
    TaskHandle_t task;
    struct wait_queue_entry* next;
} WaitQueueEntry_t;

typedef struct wait_queue_head {
    WaitQueueEntry_t* head;
    WaitQueueEntry_t* tail;
    EventGroupHandle_t eventGroup;
} WaitQueueHead_t;

void init_waitqueue_head(WaitQueueHead_t* waitqueue)
{
    waitqueue->head = NULL;
    waitqueue->tail = NULL;
    waitqueue->eventGroup = xEventGroupCreate();
}

void init_waitqueue_entry(WaitQueueEntry_t* waitqueue_entry, TaskHandle_t task)
{
    waitqueue_entry->task = task;
    waitqueue_entry->next = NULL;
}

void add_wait_queue(WaitQueueHead_t* waitqueue, WaitQueueEntry_t* waitqueue_entry)
{
    waitqueue_entry->next = NULL;

    if (waitqueue->head == NULL) {
        waitqueue->head = waitqueue_entry;
        waitqueue->tail = waitqueue_entry;
    } else {
        waitqueue->tail->next = waitqueue_entry;
        waitqueue->tail = waitqueue_entry;
    }
}

void wake_up(WaitQueueHead_t* waitqueue)
{
    if (waitqueue->head != NULL) {
        WaitQueueEntry_t* first_entry = waitqueue->head;
        waitqueue->head = first_entry->next;

        if (waitqueue->head == NULL) {
            waitqueue->tail = NULL;
        }
        
        xEventGroupSetBits(waitqueue->eventGroup, (1 << 0));
    }
}

void wake_up_all(WaitQueueHead_t* waitqueue)
{
    WaitQueueEntry_t* current_entry = waitqueue->head;
    waitqueue->head = NULL;
    waitqueue->tail = NULL;

    while (current_entry != NULL) {
        WaitQueueEntry_t* next_entry = current_entry->next;
        if (waitqueue->head != NULL) {
            xEventGroupSetBits(waitqueue->eventGroup, (1 << 0));
        }
        current_entry = next_entry;
    }
}

void wait_event(WaitQueueHead_t* waitqueue, int condition)
{
    while (condition != 0) {
        // Block the task until the event is signaled
        EventBits_t bits = xEventGroupWaitBits(waitqueue->eventGroup, (1 << 0), pdFALSE, pdFALSE, portMAX_DELAY);
        
        // Update the condition based on whether the event was signaled
        condition = (bits & (1 << 0)) ? condition : 1;
    }
}

int wait_event_timeout(WaitQueueHead_t* waitqueue, int condition, TickType_t timeout)
{
    TickType_t startTime = xTaskGetTickCount();

    while (condition != 0) {
        // Calculate the remaining time for timeout
        TickType_t elapsedTime = xTaskGetTickCount() - startTime;
        TickType_t remainingTime = timeout - elapsedTime;

        if (remainingTime <= 0) {
            // Timeout occurred
            return -1;
        }

        // Wait with the remaining time for the event to be signaled
        EventBits_t bits = xEventGroupWaitBits(waitqueue->eventGroup, (1 << 0), pdFALSE, pdFALSE, remainingTime);

        if (bits & (1 << 0)) {
            // Event was signaled within the remaining time
            condition = 0;
        } else {
            // Timeout occurred
            return -1;
        }
    }

    return 0;
}
Write a poem of 15 lines for friend Charu on her 40th birthday. She is simple, elegant and tall who gels along with everyone. she is a mother to twin boys Ansh and Vansh and a proud wife of Rohit. with a huge social setup she manages everything to perfection. a party enthusiast, humble and elegant girl. In spite of many challenges in life, she has evolved to a better version of herself handling things beautifully.
write a game between the 2010s team vs the 90s team
Hey, this is a Tunisian dialect text I want you to translate to English.
Please follow these steps:
1. Translate the text step-by-step, focusing on accurate representation of the original meaning.
2. Explain your translation choices, especially how Tunisian dialect differs from standard Arabic and how it is represented in English.
Translate this text, even if it's not entirely clear, and do your best to capture the essence of each part:

ودوبا شق فطره ومشى
The programming interface for a legacy motor controller accepts commands as binary strings of variable length. The console has a very primitive autocomplete/autocorrect feature: as a new command is entered one character at a time, it will display the previously entered command that shares the longest common prefix. If multiple commands are tied, it displays the most recent one. If there is no previous command that shares a common prefix, it will display the most recent command.
Given a sequence of commands entered into the console, for each command, determine the index of the command last displayed by the autocomplete as it was entered. Return 0 if there is none.
Example
n=6 command = ['000', '1110', '01', '001', '110', '117
1. '000'-0 (No command has previously been entered)
2. '1110-1 (There is no previous command that shares
a common prefix, so the last command is shown) 3. '01'-1('000' shares the prefix '0'with the first command)
4. '001'-1('000'shares the prefix '00' with the first
4. '001'-1 ('000' shares the prefix '00' with the first command)
5. '110'-2('110' shares the prefix '11' with the second command)
6. '11'-5('11'shares the prefix '71'with the fifth command most recently)
LL
The return array is [0, 1, 1, 1, 2, 5].
D
Function Description
1
Complete the function autocomplete in the editor below.
2
autocomplete has the following parameter(s): string command[n]: an array of strings where command[i] denotes the (i+1)th entered command, 051 <n.
3
Returns
int: an array of integers
4
Constraints
5
2≤n≤105 15/command[i] | ≤30 where (0≤i<n)
1≤ | command[i] | ≤ 30 where (0≤i<n)
► Input Format For Custom Testing
▼ Sample Case 0
Sample Input For Custom Testing
STDIN
Function
3
→
command[] size n = 3
100110 -
command = ['100110', '1001',
'1001111']
1001
1001111
Sample Output
0
1
1
Explanation
'100110'-0 (No command has previously been
entered) 2.'1001'- 1 (The first command shares the prefix
'1001) 3. '1001111'- 1 (The first command shares the prefix '10011')solve in cpp
Goal :
    Générer une suggestion détaillée et visuellement attrayante pour la présentation finale d'un plat, basée sur le type, le titre, les ingrédients et les instructions de cuisine. 
    Cette description servira à créer une image du plat.


    Return Format :
    Renvoies un objet JSON respectant strictement cette structure :
    json
    {
        "data": <description>
    },
    - description doit être un prompt dans le but de générer une image et écrit en anglais.


    Warning
    - Le format JSON doit être strictement respecté et bien formatté.
    - Ne renvoie que le JSON, sans explication.


    Context Dump
    Données de la recette fournies :

    Le type de la recette est un plat principal.

    json
    {"category":"main","title":"Sopa de lima ","ingredients":"For the recipe : olive oil,chopped yellow onion,cloves garlic, finely minced (0.5 lg /p) or pressed (1 unit /p),dried oregano (preferably mexican),ground cumin,black peppercorns,ground allspice,chicken broth,diced cooked chicken,(14-ounce) can diced tomatoes,minced, seeded jalapeño (adjust to taste for more heat),freshly squeezed lime juice,lime, cut in half lengthwise, then into thin half-moon slices,salt,avocado, diced,chopped cilantro,tortilla chips (1 unit /p) or strips for garnish (optional) (1 unit /p),chopped jalapeños for garnish (optional)","instructions":"In a large, heavy pot, heat the olive oil over medium-high heat. Add the onion and garlic, and cook, stirring frequently, for 2 minutes until they begin to soften.\nIncorporate the oregano, cumin, peppercorns, and allspice, allowing them to cook for an additional minute.\nPour in the broth and bring the mixture to a simmer. Add the chicken, diced tomatoes, minced jalapeño, lime juice, a slice of lime, and salt. Stir well, lower the heat to medium-low, and let it cook for about 15 minutes.\nTo serve, ladle the soup into bowls. Garnish with diced avocado, a few lime slices, cilantro, and tortilla chips. For those who enjoy extra spice, add more chopped jalapeño.","region":"MX"}
Please explain the following trope example.
Trope: Banned In China
----Example
The Peppa Pig episodes "Mister Skinnylegs" and "Spider's Web" were banned in Australia. They're about befriending spiders, which is highly discouraged in Australia because it's home to some of the world's most venomous spiders. The former was accidentally aired online, and was shown on the Australian Nick Jr feed (which also airs in New Zealand and several Asian countries) until a girl whose younger brother was watching the channel wrote a letter to the channel because people around her brother's age might copy what they saw on the show.
What is the file 'mimetype' produced by sphinx builds of epub
Give me 50 possible song titles contaning "reggaeton".
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.
 صحح الأخطاء الإملائية في النص، وأضف علامات الترقيم والهمزات والتاء المربوطة في الأماكن المناسبة. (ar).
Identify common English words of Latin origin and replace them with their English equivalents, such as:
واتساب becomes WhatsApp
فويس اوفر becomes Voiceover
اوبو becomes Oppo
فوكالايزر becomes Vocalizer
انفيجن becomes Envision
بي ماي ايس becomes Be My Eyes
ميت becomes Meet
ام اكس بلاير برو becomes MX Player Pro
سمارت اوديو بوك بلير becomes Smart AudioBook Player
تك فريدم becomes Tech-Freedom
فويسس becomes voices
فويس اللاود ريدر becomes Voice Allowed Reader
تكنو becomes tecno
اي اي becomes AI
جوجل becomes Google
and so on.
Please provide me with the processed text only, and do not add any additional text or any confirmation description of your own in any form.
This is the text:
هذه خطبه له
Assistant: