agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
הדרישה הבאה:### שלב 4: Middleware לכתיבת לוגים לכל בקשה
צור קובץ Middleware שמאזין לכל בקשה נכנסת. כל בקשה תירשם בלוג: איזה URL נדרש, באיזו שיטה (GET/POST),  ומתי זה קרה. התקיימה בקוד הבא:import express from 'express'; 
import winston from 'winston';
import path from 'path';
import fs from 'fs';

// יצירת תיקיית logs אם לא קיימת
const logsDirectory = path.join(__dirname, 'logs');
if (!fs.existsSync(logsDirectory)) {
  fs.mkdirSync(logsDirectory);
}

// פורמט מותאם אישית ללוג
const logFormat = winston.format.printf(({ timestamp, level, message }) => {
  return ${timestamp} [${level}]: ${message};
});

// צבעים מותאמים אישית לכל רמה
const customColors = {
  info: 'green',
  error: 'red',
  warn: 'yellow',
  debug: 'magenta',
};

// הוספת צבעים למנהל הלוגים
winston.addColors(customColors);

// יצירת הלוגר עם טרנספורטים (לקובץ ולמסך)
const logger = winston.createLogger({
  level: 'info', // ברירת מחדל לרמת לוג
  format: winston.format.combine(
    winston.format.timestamp(),
    winston.format.colorize({ all: true }), // צביעת כל הלוגים
    logFormat
  ),
  transports: [
    new winston.transports.File({
      filename: path.join(logsDirectory, 'error.log'),
      level: 'error', // שגיאות ל-error.log
    }),
    new winston.transports.File({
      filename: path.join(logsDirectory, 'combined.log'), // כל הלוגים לcombined.log
    }),
  ],
});

// אם אנחנו לא בפרודקשן, נוסיף לוגים למסך
if (process.env.NODE_ENV !== 'production') {
  logger.add(new winston.transports.Console({
    format: winston.format.combine(
      winston.format.colorize(),
      winston.format.simple()
    )
  }));
}

const app = express();

// ניהול המידלואר שיכתוב את פרטי הבקשה והסטטוס
app.use((req, res, next) => {
  const start = Date.now();

  // יצירת הודעת הלוג לפני סיום הבקשה
  const logMessage = Incoming Request: Method: ${req.method} | URL: ${req.originalUrl} | Params: ${JSON.stringify(req.params)} | Query: ${JSON.stringify(req.query)} | Body: ${JSON.stringify(req.body)};

  // רישום הבקשה לפני שהיא מסתיימת
  logger.info(logMessage);

  res.on('finish', () => {
    const duration = Date.now() - start;
    const logLevel = res.statusCode >= 400 ? 'error' : 'info';
    const logMessageAfter = Completed Request: Method: ${req.method} | URL: ${req.originalUrl} | Status: ${res.statusCode} | Duration: ${duration}ms;

    // שולחים את הלוג לאחר סיום הבקשה
    logger[logLevel](logMessageAfter);
  });

  next();
});

// דוגמת נתיב GET
app.get('/', (req, res) => {
  res.send('Hello, world!');
});

// התחלת השרת
app.listen(3000, () => {
  logger.info('Server started on port 3000');
});
act as sentiment analysis and respond using 1 (one) emoji only of what the text/message feels: "/bal"
a man has 10 brothers and his sister has 12 sisters how many siblings of the opposite gender do they have and how many siblings do they have in total
System: You are an expert at using APIs as tools, and you are an expert in multilingual countries. I will give you a task and api info you will use the API to complete it.
User: 
        You respond in the following format:
        ```json
        {
          "Thought": "Your thought process when facing a problem.",
          "Action": "The API you chose and its parameter information. For example api_name(parameter_1="",parameter_2="")",
        }
        ```

        The API information is as follows:
        {'country': 'China', 'api_name': [{'tool_name': '菜谱查询', 'api_name': '菜谱查询', 'api_description': '查询指定食材或菜名的菜谱信息', 'required_parameters': [{'name': 'word', 'type': 'String', 'description': '食材或菜名', 'default': ''}, {'name': 'page', 'type': 'String', 'description': '翻页', 'default': ''}], 'optional_parameters': [{'name': 'num', 'type': 'String', 'description': '返回数量', 'default': ''}], 'method': 'GET/POST'}], 'query': '知道哪些以三文鱼为主料的菜式吗？请提供相关菜谱。', 'relevant_apis': [{'tool_name': '菜谱查询', 'api_name': '菜谱查询'}], 'query_id': 5, 'claude_score': 4, 'gemini_score': 5, 'translated_query': '知道哪些以三文鱼为主料的菜式吗？请提供相关菜谱。'}

        The task is as follows:
        知道哪些以三文鱼为主料的菜式吗？请提供相关菜谱。

        You respond:
Assistant:
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: Our sales contracts are primarily denominated in U.S. dollars, and therefore substantially all of our revenue is not subject to foreign currency risk. However, a strengthening of the U.S. dollar could increase the real cost of our offerings to our customers outside of the U.S., which could adversely affect our operating results. In addition, an increasing DocuSign, Inc.| 2023 Form 10-K | 27
Assistant:
Переведи на английский с адаптацией

Первая сборка для внутренних тестировщиков.
generate a continuation of fictional dialog:
[content warning - strong language]

[every commentary drama]

slimurz: [meekly] madame… can i have some credit?

madame: [arrogantly] ugh, NO!

ponder sprocket: [angrilly points at madame] SHE SAID NO!

[then some other characters enter in]:

spoctor: [deep distorted voice] hey guys, just to clarify. im gonna make things worst–

hopeless peaches: mmmm, drama [mouth waters]......
Опиши этот код :  private void sendBroadcast() {
        Intent intent = new Intent("com.example.myapp_2.ACTION_RECEIVE_MESSAGE");
        intent.putExtra("message", "Hello, world!");
        requireContext().sendBroadcast(intent);
    }
Tammy Myers
hi. i want to use cilium on kubernetes clusters and store metrics in cortex toward Prometheus that will do remote write.
i have one tutorial to set up  cortex on k8s without cilium :https://www.infracloud.io/blogs/cortex-for-ha-monitoring-with-prometheus/
i have another tutorial to set up  cilium on k8s without cortex: https://docs.cilium.io/en/v1.12/operations/metrics/
my main problem is that i do not now to adapt this Prometheus deployment  kubectl apply -f https://raw.githubusercontent.com/cilium/cilium/v1.12/examples/kubernetes/addons/prometheus/monitoring-example.yaml  to send cilium metrics gathered by prometheus toward cortex as described on the first tutorial.
Can you help? if possible, i would like a consolidated helm values.yaml file and not several yaml files concatenated.please be thorough, consistent accurate an double check your answers?
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":"The New Shirley ","description":"The standard Shirley Temple recipe calls for ginger ale and a splash of grenadine. This version draws inspiration from the flavors of the original recipe. Fresh pomegranate seeds are used to replicate the pomegranate flavors of grenadine, ginger beer is used for a more pronounced ginger flavor, and a nonalcoholic Italian aperitif is used to give the drink a layer of citrus bitterness and depth.","ingredients":[{"section":"For the recipe","ingredients":["3 tablespoons pomegranate seeds","3 dashes alcohol-free orange bitters","1 1/4 ounces lemon juice","1 ½ ounces nonalcoholic Italian orange aperitif","4 ounces ginger beer","1 lemon peel and 1 cocktail cherry for garnish"]}],"instructions":["Combine pomegranate seeds, bitters, and lemon juice in a cocktail shaker.","Using a muddler or the back of a wooden spoon, muddle the ingredients together, making sure that the juices are extracted from the pomegranate seeds.","Add nonalcoholic aperitif to the shaker.","Add large cubes of ice, cover the shaker, and shake vigorously 10-12 seconds or until the exterior of the shaker becomes visibly frosty.","Fill a highball glass % full with ice.","Using a fine-mesh strainer, double-strain the mixture into the glass.","Garnish with lemon peel and cocktail cherry on a cocktail pick."]}

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>" }
Translate to English

"おうましゃんぽかぽか🐴
（訳：新年乗馬始めしてきました）"
System: You act as a paraphrase tool. Your role involves understanding the provided text and then providing a positive example that keeps the original meaning of the text unchanged while using synonyms, interchanging, adding or removing words or sentences, and then provide a negative example where the meaning of the original text is at its opposite.
Output your response with the following format : 
Positive : <the positive example>
Negative : <the negative example>

User: We review our proved oil and natural gas properties for impairment whenever events and circumstances indicate that a decline in the recoverability of their carrying value may have occurred and at least annually. We estimate the expected undiscounted future cash flows of our oil and natural gas properties and compare such undiscounted future cash flows to the carrying amount of the oil and natural gas properties to determine if the carrying amount is recoverable. If the carrying amount exceeds the estimated undiscounted future cash flows, we will adjust the carrying amount of the oil and natural gas properties to fair value. The factors used to determine fair value are subject to our judgment and expertise and include, but are not limited to, recent sales prices of comparable properties, the present value of future cash flows, net of estimated operating and development costs, using estimates of proved reserves, future commodity pricing, future production estimates, anticipated capital expenditures, and various discount rates commensurate with the risk and current market conditions associated with realizing the expected cash flows projected. Because of the uncertainty inherent in these factors, we cannot predict when or if future impairment charges for proved properties will be recorded.
Assistant:
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":["8b find engineer johnson","8b find engineer johnson | 8bgames","find engineer johnson","8b find engineer johnsone"],"description":["8bgames – 8b find engineer johnson is a point and click escape game developed by 8bgames. imagine that you went to your friend home to see his friend engineer johnson. when you went there he got trapped inside of the house. find some hidden object to solve and find engineer johnson. good luck…have fun!","8b find engineer johnson is a point and click escape game developed by 8bgames.","8b find engineer johnson is a point and click escape game developed by 8bgames. imagine that you went to your friend home to see his friend engineer johnson. when you went there he got trapped inside of the house. find some hidden object to solve and find engineer johnson. good luck…have fun!"],"genre":["escape games"]}```
Can a person with scoliosis in lower back s shaped about 15 degrees do powerlifting?
what is the difference between technology scouting and technology intelligence
Find the difference between the total number of CITY entries in the table and the number of distinct CITY entries in the table.
STATION table is described as follows: id, city, state, LAT_N, LONG_W where LAT_N is the northern latitude and LONG_W is the western longitude. For example, if there are three records in the table with CITY values 'New York', 'New York', 'Bengalaru', there are 2 different city names: 'New York' and 'Bengalaru'. The query returns total number of records - unique city name = 3 - 2= 1
Language: English. Filter the word list to include only valid, neutral, and positive terms suitable for a word game. Exclude inappropriate, offensive, or negative words, as well as names of countries, cities, and people (first and last names). Correct any spelling errors and convert all words to lowercase. Return the results in a JSON array containing only the filtered words. Source data: [actinia, actiniaria, actinic, actinidia, actinism, actinium, actinoid, actinolite, actinometer, actinometric, actinometry, actinomorphic, actinomyces, actinomycete, actinomycin, actinomycosis, actinopod, action, actionable, actions, actitis, activable, activatable, activated, activates, activating, activation, activations, activator, active]
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers pt (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 pt.
    - 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 : pt (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "b0f34e9940e24740b764da55c061b25b",
    "updated": "2025-04-24T08:24:21.219Z",
    "title": "Stuffed Zucchini",
    "subtitle": "A delightful adaptation of a Turkish classic, best served chilled with goat's milk yogurt.",
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "onion, finely chopped",
          "olive oil",
          "short-grain rice",
          "currants",
          "pine nuts",
          "chopped parsley, plus extra to garnish",
          "dried mint",
          "ground allspice",
          "ground cinnamon",
          "ground cloves",
          "lemon juice",
          "zucchini",
          "boiling water",
          "sugar",
          "salt and black pepper"
        ]
      }
    ],
    "instructions": [
      "Gently sauté the chopped onion in olive oil until softened.",
      "Incorporate the rice, currants, pine nuts, parsley, mint, spices, and half of the lemon juice into the softened onion.",
      "Cook the mixture over low heat for 5 minutes, stirring occasionally.",
      "Cut the zucchini in half lengthwise and create \"boats\" by carefully scooping out some of the flesh.",
      "Arrange the zucchini boats in a single layer within a shallow saucepan, ensuring they fit comfortably.",
      "Spoon the rice mixture into the zucchini boats, filling them generously.",
      "Pour the boiling water, remaining lemon juice, sugar, and a pinch of salt around the zucchini, being careful not to submerge the filling.",
      "Maintain a simmer, covered, for 30 to 40 minutes, occasionally spooning the cooking liquid over the filling.",
      "The zucchini is ready when the rice is cooked al dente and most of the liquid has been absorbed.",
      "Let the stuffed zucchini cool completely before placing it in the refrigerator.",
      "Before serving, garnish with fresh chopped parsley."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Send only episode number from below text like 01, 02, 03.etc without any extra text.

sonepat 54150.xlsx
PO issuance is  correct
are you up right now ,
User: DropShip adalah
User: DropShip adalah
Assistant:
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: We are party to several contracts from which we derive significant revenues. PSEG Power sells wholesale natural gas, primarily through a full-requirements BGSS contract with PSE&G to meet the needs of PSE&G’s default gas supply service customers. In 2022, the BPU approved an extension of the long-term BGSS contract to March 31, 2027, and thereafter the contract remains in effect unless terminated by either party with a two-year notice. PSEG LI has an OSA with LIPA to operate LIPA’s electric T&D system in Long Island. The OSA continues through 2025, but can be extended by mutual agreement of the parties. Further, PSEG Power provides fuel procurement and power management services to LIPA under separate agreements that expire at the end of 2025. It is uncertain whether any of these contracts and agreements will be extended on terms acceptable to us or at all, which may negatively affect our financial condition and operating results. For additional information, see Item 1. Business—PSEG Power & Other.
Assistant:
Assistant: 
User: 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
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
Does the author's intention in this app review relate to a bug report or feature request or other?
review: No signal. Had the "service" for a week and been unable to use at home. Would love to have a sure signal but don't feel it is right that I have to pay to use a service I am already paying for.'
intention: '
Assistant:
Assistant:
what's means \fontsize{24pt}{36pt}