agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
(In the school literature clubroom…)

Monika: “There! Everything’s set up for today’s meeting. Now we just need to wait for Natsuki.”

Yuri: “I brought some new poetry books for us to discuss today. I think you’ll all enjoy them.”

Sayori: “I can’t wait to see what you picked out, Yuri! And I brought some snacks for us to share.”

Monika: “That’s so thoughtful, Sayori. Natsuki always appreciates a good snack too. I wonder where she is.”

Yuri: “Maybe we should give her a call to make sure she’s on her way.”

Sayori: “Good idea, Yuri. I’ll give her a quick call.”

(Sayori dials Natsuki’s number and waits for her to pick up. But a few seconds later, it goes to voicemail.)

Sayori: “Hm, that’s strange. Natsuki usually answers right away. Maybe she’s running a bit late.”

Monika: “Maybe we should go check the hallways to see if we can find her. She could be lost or stuck somewhere.”

Yuri: “I hope she’s okay. Let’s split up and search for her. Sayori, you go that way, Monika, you go that way, and I’ll search over here.”

(The three girls split up and search the school hallways, calling out for Natsuki. Suddenly, Sayori spots Natsuki sitting on a bench in the courtyard, 7 months pregnant in a lot of pain.)

Sayori: “Oh my goodness, Natsuki! Are you okay? What’s wrong?”

Natsuki: “
Assistant: 
User: System: Correct Turkish spelling errors while keeping the format intact.
User: 
    Here is a list of keywords: Keywords = [sipariş, iptal, bilgi, müşteri hizmetleri].
    Please correct the Turkish spelling mistakes in this list but keep the format intact, including the square brackets and comma separation. Do not modify or add any new words, only correct spelling mistakes.
    
Assistant:
Assistant:
please apply positive scripting: Oh, gotcha. Have you applied to several freelance or contract  grant writing positions so far? Have you received any interviews?
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] Aoashi S01E11 720p HEVC 10bit HS WEB-DL Dual Audio ESub.mkv
Create a long detailed text about actress Farrah Fawcett 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: [Iconic Poster and Stardom] Summary: [In 1976, one of the most pivotal moments of Farrah's career occurred when she posed for photographer Bruce MacBroom. The photoshoot, which took place in a simple setting, featured Fawcett clad in a red one-piece bathing suit, smiling confidently for the camera. This now-iconic photograph became the best-selling poster of all time, with over 12 million copies sold worldwide. The poster showcased Fawcettâ€™s dazzling smile, voluminous hair, and carefree attitude, capturing the spirit of the 1970s. It not only propelled Farrah to stardom but also became a cultural touchstone for a generation.]

        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.
Write short and funny tweets about foggy Saturday morning on the beach.
can you source who import elevator seismic sensor from China
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": "add083e138834b0886da724c54c3117d",
    "updated": "2025-04-21T20:16:10.893Z",
    "title": "Lemon Cups",
    "subtitle": null,
    "description": "These individual lemon custard cups are a delightful twist on a classic sponge custard.  Flour and egg whites create a light sponge cake topping, while underneath, a creamy custard forms from egg yolks, milk, sugar, and lemon.  This vintage recipe, marked \"excellent\" in a 1938 recipe file, offers an elegant presentation.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "sugar",
          "all-purpose flour",
          "unsalted butter, melted",
          "plus 1 tbsp lemon juice",
          "rind of 1 lemon, finely grated",
          "milk",
          "egg yolks, beaten well",
          "egg whites, beaten stiff"
        ]
      }
    ],
    "instructions": [
      "Preheat oven to 350 degrees F.",
      "Combine the sugar and flour, then stir in the melted butter.",
      "Add the lemon juice and grated lemon rind, stirring until blended.",
      "In a separate bowl, whisk the milk into the beaten egg yolks.",
      "Combine the sugar-lemon-flour mixture with the egg yolk and milk mixture, stirring thoroughly.",
      "Gently and evenly fold in the stiffly beaten egg whites.",
      "Pour the batter into six lightly greased ovenproof cups. Place the cups in a shallow pan of hot water.",
      "Bake for 45 minutes, or until the tops are golden brown."
    ],
    "notes_ingredients": null,
    "notes_instructions": "A single casserole dish can be used if individual custard cups are unavailable.  Baking time in a casserole dish may require slight adjustments, potentially exceeding 45 minutes."
  }
]
Мне нужно скачать некоторые файлы по следующей ссылке: https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt-1-1/tree/main. Чтобы скачать любой файл по этой ссылке (https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt-1-1/tree/main) нужно использовать аутентификационный токен huggingface. Для скачивания конкретного файла через аутентификационный токен huggingface, я использую следующий код:

import os
import requests
from requests.adapters import HTTPAdapter
from urllib3.util.retry import Retry
from urllib.parse import urlparse, unquote

# Токен huggingface
huggingface_token = "<TRUFFLEHOG_REDACTED_HUGGINGFACE>"

# Заголовки запроса с токеном авторизации
headers = {
    "Authorization": f"Bearer {huggingface_token}"
}

def download_file_through_authorization(url, headers, dest_path, retries=5):
    # Указание директории для сохранения
    directory_path = os.path.dirname(dest_path)
    # Разбор URL и получение имени файла
    parsed_url = urlparse(url)
    file_name = unquote(parsed_url.path.split("/")[-1])
    # Настройка стратегии повторных попыток
    retry_strategy = Retry(
        total=retries,
        backoff_factor=1,
        status_forcelist=[429, 500, 502, 503, 504],
        allowed_methods=["HEAD", "GET", "OPTIONS"]
    )
    adapter = HTTPAdapter(max_retries=retry_strategy)
    http = requests.Session()
    http.mount("https://", adapter)
    http.mount("http://", adapter)

    response = http.get(url, headers=headers, stream=True)
    if response.status_code == 200:
        with open(dest_path, 'wb') as f:
            for chunk in response.iter_content(chunk_size=8192):
                if chunk:
                    f.write(chunk)
        print(f"Файл {file_name} успешно загружен и сохранён в {directory_path}")
    else:
        print(f"Ошибка при загрузке файла {file_name}: {response.status_code}")

Пример использования этого кода для скачивания конкретного файла в конкретную директорию:

# Загрузка файла с учётом повторных попыток
download_file_through_authorization("https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt-1-1/resolve/main/svd_xt_1_1.safetensors", headers, "/kaggle/temp/ComfyUI/models/diffusers/svd_xt_1_1.safetensors")

Напишите пожалуйста код для загрузки папки stable-video-diffusion-img2vid-xt-1-1 из https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt-1-1/tree/main в директорию /kaggle/temp/ComfyUI/models/diffusers, используя функцию download_file_through_authorization(url, headers, dest_path, retries=5), если структура папки stable-video-diffusion-img2vid-xt-1-1 на https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt-1-1/tree/main следующая:

stable-video-diffusion-img2vid-xt-1-1

│   model_index.json
│
├───feature_extractor
│       preprocessor_config.json
│
├───image_encoder
│       config.json
│       model.fp16.safetensors
│
├───scheduler
│       scheduler_config.json
│
├───unet
│       config.json
│       diffusion_pytorch_model.fp16.safetensors
│
└───vae
        config.json
        diffusion_pytorch_model.fp16.safetensors
Convert ‘4921599493627’ to ‘E63085FB’ using java
Send only season number from below text like 01, 02, 03.etc without any extra text.

app-apk-67a71a28e742b-1739004456.apk
I don't want to attend my zoom meetings. How do I programmically join a meeting and wait for the participant count to drop below a certain threshold before automatically leaving? This program would use my account credentials to log into the zoom meeting
Use the following game summary and statistics to create an imaginary sports article about a 1993 NHL game between the Calgary Flames and the visiting Winnipeg Jets. Strive for as much authenticity as possible.

Calgary Flames vs. Winnipeg Jets - Calgary wins 6-3 (tied 2-2 after 1st period, Calgary led 4-3 after the 2nd period)
Period 1: Gary Roberts goal (unassisted) (CAL 1-0) (2:34), Zhamnov power play goal (unassisted) (WIN) (1-1 tie) (6:22), Paul Ranheim goal (unassisted) (CAL 2-1) (15:30), Teemu Selanne goal (assisted by Housley) (WIN) (2-2 tie) (17:32)
Period 2: Ranheim goal (assisted by Dahl and Roberts) (CAL 3-2) (6:00), Selanne goal (unassisted) (WIN) (3-3 tie) (11:02), Dahlquist short-handed goal (unassisted) (CAL 4-3) (13:54)
Period 3: Otto goal (unassisted) (CAL 5-3) (3:33), Nieuwendyk goal (unassisted) (CAL 6-3) (12:02)

Three stars of the game:
Paul Ranheim (CAL) - 2 goals (2 points), 8 shots on goal, 2 penalty minutes
Gary Roberts (CAL) - 1 goal, 1 assist (2 points), 9 shots on goal, 6 penalty minutes
Teemu Selanne (WIN) - 2 goals (2 points), 7 shots on goal, zero penalty minutes

Game statistics:
Score - Calgary 6, Winnipeg 3
Shots - Calgary 49, Winnipeg 45
Shooting percentage - Calgary 12%, Winnipeg 6%
Power play - Winnipeg 1/9, Calgary 0/3
PP minutes - Winnipeg 12:03, Calgary 4:03
PP shots - Winnipeg 12, Calgary 5
SH goals - Calgary 1, Winnipeg 0
Breakaways - Winnipeg 0/3, Calgary 0/8
One-timers - Winnipeg 0/11, Calgary 0/11
Penalty shots - none taken by either team
Faceoffs won - Calgary 32, Winnipeg 29
Body checks - Calgary 66, Winnipeg 51
Penalties - Winnipeg 4/8, Calgary 10/20
Attack zone - Winnipeg 21:52, Calgary 19:17
Passing - Winnipeg 122/206 (59%), Calgary 116/206 (56%)

Penalty summary:
Period 1:
K. Tkachuk (WIN) (hooking) (2:41)
G. Suter (CAL) (cross-check) (5:17)
S. Bautin (WIN) (hooking) (18:22)
Period 2:
G. Roberts (CAL) (charging) (1:46)
G. Roberts (CAL) (hooking) (12:49)
K. Dahl (CAL) (roughing) (13:41)
P. Ranheim (CAL) (tripping) (17:53)
Period 3:
G. Roberts (CAL) (slashing) (4:06)
S. Bautin (WIN) (hooking) (4:46)
R. Johansson (CAL) (holding) (5:00)
C. Dahlquist (CAL) (hooking) (9:41)
S. Bautin (WIN) (roughing) (9:45)
C. Dahlquist (CAL) (slashing) (17:09)
G. Suter (CAL) (cross-check) (17:11)
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 cannot be certain that our operations or any aspects of our business do not or will not infringe upon or otherwise violate trademarks, patents, copyrights, know-how or other intellectual property rights held by third parties. We may be from time to time in the future subject to legal proceedings and claims relating to the intellectual property rights of others. In addition, there may be third-party trademarks, patents, copyrights, know-how or other intellectual property rights that are infringed by our products, services or other aspects of our business without our awareness. Holders of such intellectual property rights may seek to enforce such intellectual property rights against us in China, the United States or other jurisdictions. If any third-party infringement claims are brought against us, we may be forced to divert management’s time and other resources from our business and operations to defend against these claims, regardless of their merits.
Assistant:
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":"FRESH GINGER TEA A favorite home remedy for common colds in Oman.","description":"Fresh ginger is simmered in water until it turns a light golden color for this spicy tea, which is a favorite home remedy for common colds in Oman. A few torn mint leaves balance the sharp bite of the ginger.","ingredients":[{"section":"For the recipe","ingredients":["1 (3½-inch) piece fresh ginger, peeled, thinly sliced, and bruised (about ½ cup total)","Sugar","Fresh mint leaves, for garnish (optional)"]}],"instructions":["Place 4 cups water and the ginger in a medium saucepan and bring to a boil; simmer until the ginger has softened and the tea turns a light brown color, about 30 minutes.","Strain the tea into glasses and sweeten with sugar to taste.","Garnish with mint leaves."]}

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>" }
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":"Strawberry Negroni Smash This mocktail is a refreshing twist on the Negroni cocktail. Instead of replacing gin with another spirit alternative, it is replaced with strawberries. The strawberries add freshness and a nice hue to the drink.","description":"This mocktail is a refreshing twist on the Negroni cocktail. Instead of replacing gin with another spirit\nalternative, it is replaced with strawberries. The strawberries add freshness and a nice hue to the drink.","ingredients":[{"section":"For the recipe","ingredients":["3 medium strawberries","1 ounce lemon juice","14 ounce Juniper Simple Syrup (see recipe in Chapter 1)","2 ounces nonalcoholic Italian red aperitif","1 strawberry slice for garnish"]}],"instructions":["In a cocktail shaker, use a muddler or the back of a wooden spoon to muddle strawberries, lemon juice,\nand Juniper Simple Syrup together until well combined.","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\nshaker becomes visibly frosty.","Place a big cube of ice in a rocks glass. Then, to achieve a smooth texture, use a fine-mesh strainer to\ndouble-strain the mixture into the glass.","Finally, garnish with strawberry slice."]}

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>" }
Hi, what is your name?
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: All posts that report on bugs and errors of a software application.
Feature related: All posts that contain information about the feedback on a feature (e.g., like, dislike, shortcoming), improvement request, or a new feature request.
Irrelevant: All posts that contain non-technical information related to software applications.
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: All posts that report on bugs and errors of a software application.
Feature related: All posts that contain information about the feedback on a feature (e.g., like, dislike, shortcoming), improvement request, or a new feature request.
Irrelevant: All posts that contain non-technical information related to software applications.
Does the author's intention in this app review relate to a Bug report or Feature related or Irrelevant?
review: Speed-ramp effect makes my baseball bat blurry/glitchy. How do I fix this?. '
intention: '
Assistant:
how to make this function faster using window onload or something similar in javascript: window.onload = () => {
  // if (document.readyState === "complete" || document.readyState === "interactive") {
    // call on next available tick
  let root;
  if (pageIsTankyou) {
    if (!isCustomComponentInThankyouPage) {
      console.log("---");
    } else {
      console.log("--- Rendering custom THANKYOU page component");
        root = ReactDOM.createRoot(
          document.getElementsByClassName("order-summary__sections")[0]
        );
        root.render(
          <I18nextProvider i18n={i18next}>
            <App />
          </I18nextProvider>
        );
    }
  } else {
    root = ReactDOM.createRoot(document.getElementById("lv-root"));
    root.render(
      // <React.StrictMode>
      <I18nextProvider i18n={i18next}>
        <App />
      </I18nextProvider>
      // </React.StrictMode>
    );
  }
};
Send only season number from below text like 01, 02, 03.etc without any extra text.

@Malli4U_Officiall - @Malli4U_Officiall - Love O2O S01E11 Love O2O EP 11 360p WEB-DL x264 (AAC 2.0 - 64kbps) [Tam   Tel   Hin] ɱ4Ʋ ɱ4Ʋ.mkv