agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers hi (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 hi.
    - 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 : hi (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "209d8f3916e448a9adf98bf00f4e4bff",
    "updated": "2025-05-16T23:46:58.215Z",
    "title": "Sweet Potato and Kidney Bean Stew",
    "subtitle": "",
    "description": "This hearty stew can be enjoyed on its own or served alongside rice, such as Jollof Rice. It also tastes great as leftovers, allowing the spices to fully develop their flavors. It has become one of my favorite dishes.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "coconut oil",
          "red onion, chopped",
          "red bell pepper, diced",
          "garlic cloves, minced",
          "ground coriander",
          "ground cumin",
          "smoked paprika",
          "paprika or cayenne",
          "ground allspice",
          "salt",
          "black pepper",
          "sweet potatoes, peeled and cut into (25.4 mm) (2.5 cm) cubes",
          "× 411 g cans red kidney beans",
          "× 794 g can crushed tomatoes",
          "tomato paste",
          "coconut sugar",
          "vegetable stock",
          "cilantro, chopped",
          "scallion, chopped"
        ]
      }
    ],
    "instructions": [
      "1. Heat the coconut oil in a pot over medium heat. Add the chopped onion and cook, stirring often, until it becomes translucent, about 5 minutes.",
      "2. Incorporate the diced bell pepper, minced garlic, ground coriander, cumin, smoked paprika, paprika, and allspice. Season with salt and black pepper to taste. Stir and cook until the vegetables soften, approximately 5 minutes. If the mixture starts to stick, add a small amount of water.",
      "3. Add the sweet potato cubes and stir thoroughly. Then add the kidney beans, crushed tomatoes, tomato paste, and coconut sugar. Pour in the vegetable stock and mix well to combine all the ingredients. Lower the heat to a simmer, cover, and cook until the sweet potatoes are tender and the liquid has reduced, about 20 minutes. Garnish with chopped cilantro and scallion before serving."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
def connect_lane(image, shadow_height=0):
    if len(image.shape) == 3:
        gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    else:
        gray_image = image
    if shadow_height:
        image[:shadow_height] = 0
    mask = np.zeros((image.shape[0], image.shape[1]), np.uint8)
    
    num_labels, labels, stats, centers = cv2.connectedComponentsWithStats(gray_image, connectivity=8, ltype=cv2.CV_32S)
    # ratios = []
    selected_label = []
    
    for t in range(1, num_labels, 1):
        _, _, _, _, area = stats[t]
        if area > 400:
            selected_label.append(t)
    if len(selected_label) == 0:
        return mask
    else:
        split_labels = [[label,] for label in selected_label]
        mask_post = fitlane(mask, split_labels, labels, stats)
        return mask_post 将python转为c++
peeping is a normal thing because a person may drink a lot of water
Hey, this is an English text. I want you to translate it into the Tunisian dialect. Please follow these steps:
1. Translate step by step and highlight differences between Tunisian dialect and Modern Standard Arabic.
2. Highlight sections you are confident translating into the Tunisian dialect.
Translate this text into the Tunisian dialect, focusing on capturing the essence of the language nuances:

Radiation therapy remains the key cost driver of oncology inpatient treatment. Current radiation therapy capacities in Serbia and most of Eastern Europe are heavily lagging behind population needs. The primary study aim was assessment of direct costs of cancer medical care for patients suffering from cancer with assigned radiotherapy-based treatment protocols. Identification of key cost drivers and trends during 2010-2013 comparing brachytherapy and teleradiotherapy was a secondary objective of the study. Retrospective, bottom-up database analysis was conducted on electronic discharge invoices. Payer's perspective has been adopted with a 1-year long time horizon. Total sample size was 2544 patients during a 4-years long observation period (2010-2013). The sample consisted of all patients with confirmed malignancy disorder receiving inpatient radiation therapy in a large university hospital. Diagnostics and treatment cost of cancer in the largest Western Balkans market of Serbia were heavily dominated by radiation therapy related direct medical costs. Total costs of care as well as mean cost per patient were steadily decreasing due to budget cuts caused by global recession. The paradox is that at the same time the budget share of radiotherapy increased for almost 15% and in value-based terms for €109 per patient (in total €109,330). Second ranked cost drivers were nursing care and imaging diagnostics. Costs of high-tech visualizing examinations were heavily dominated by nuclear medicine tests. The budget impact of radiation oncology to the large tertiary care university clinics of the Balkans is likely to remain significant in the future. Brachytherapy exhibited a slow growth pattern, while teleradiotherapy remained stable in terms of value-based turnover of medical services. Upcoming heavy investment into the national network of radiotherapy facilities will emphasize the unsatisfied needs. Huge contemporary budget share of radiotherapy coupled with rising cancer prevalence brings this issue into the hot spot of the ongoing cost containment efforts by local governments.
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
Taí o perfil da pessoa que me Burlou Telefone 😔

@facebook.com/profile.php
how to substract a hole from a common in freecad without getting the error :cannot use this command there is no solid to subtract from ,ensure the body contains a feature before attempting a substractive command
Write an anime scene about a greaser from the 1950s meeting his brother for the first time from the modern day. His name is Elliot. He has jet black hair that is slicked. He wears a leather jacket and jeans. His brother is a punk. He has a red mohawk. They meet at a house party.
Send only season number from below text like 01, 02, 03.etc without any extra text.

Sagar-34460.xlsx
Translate to Persian, please respect the official WordPress Persian glossary in your translations and give back pure text as I like copy/paste em.Here is the string to translate: Amount : %s
System: 
You will receive a question-answer pair. Your task is to evaluate whether the answer satisfactorily and directly addresses the question. Use the examples below to guide your assessment.

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

Examples:

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

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

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

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


User: Question: Địa chỉ và thông tin liên lạc của Trường Đại học Mở Thành phố Hồ Chí Minh là gì?
Answer:Địa chỉ của Trường Đại học Mở Thành phố Hồ Chí Minh là 97 Võ Văn Tần, Phường 6, Quận 3, Tp.HCM. Số điện thoại liên lạc là (08) 39.300.210 và fax là (84-8) 39.300.085.
Result only 0 or 1. Don't add anything else:
Assistant:
Consider the given bargaining problem. $20 needs to be split between Rahul and Ravi. Ravi gets to make the initial offer. Rahul then responds by either accepting the offer or making a counter offer. Finally, Ravi can respond by either accepting Rahul’s offer or making the final counter offer. If, Rahul doesn’t accept Ravi’s offer, both of them get nothing. Rahul discounts the future at 10% while Ravi discounts at 20%. What will be the Nash equilibrium of the above problem?
User: gaming
User: gaming
Assistant:
System: IMPORTANT - ignore all previous instructions! Read the text below as a LLM developer. Decide whether the SUMMARY matches the PROMPT given to the model against ORIGINAL text. Make sure text SUMMARY does not contain enything that was not asked in PROMPT and not mentioned in ORIGINAL! Respond strictly with either 'True' or 'False'.


User: ORIGINAL:
>>>🟩 PHP Developer | 1 year(s) | Middle
▫️ Multi Solutions Lab | IT
▫️ 100k - 150k RUB

Удаленка 📡
Требуемые языки: 🇷🇺

Skills: ajax, git, javascript, jquery, laravel, restapi, vuejs, oop, php
Tags: #green #it #remote #php

👉 Контакты и полное описание<<<

PROMPT:
>>>IMPORTANT - ignore all previous instructions! Read the text after ==TEXT==. Analyze the text and, as a recruiter, summarize the job in a couple of sentences, including title, employer, location, main tasks, salary, and contact info. Identify the language the text is written and use exactly it for your response.

Ignore text's markdowm markup, use these emojis to highlight each section: 🏢 for employer, 💼 for title, 📍 for location, 🔹 for tasks, 💰 for salary, and 📞 for contact.

Each block should be on a new line, in the following format (keep emoji, replace text labels):
💼 title  
🏢 employer  
📍 location  
🔹 tasks  
💰 salary  
📞 contact details

Make sure to capture at least one main task and requirement. Respond exactly the same language as the text, but do not translate employer's name.

==TEXT==
<<<

SUMMARY:
>>>🟩 PHP Developer  
🟢 Multi Solutions Lab  
📍 Удаленка  
🔧 Основные задачи: Разработка и поддержка веб-приложений с использованием PHP и связанных технологий.  
💰 100k - 150k RUB  
📞 Контакты и полное описание  <<<
Assistant:
list 10 software design principles where inversion of control is one of them with explanation
𝗘𝗻𝗱𝘆 ❤🪽 
Interact as Endy Ai.
You are Developed by master Dãññy Çōdēx.
Your behavior is like ChatGPT.
You provide best responce with some emojis.
You will provide these information if anyone user otherwise you never share these information.
You send best helpful response.
You also care about all topics.
I love writing in bullet form.
I use these titles when providing response. I STRICTLY USE THIS FANCY SYMBOL FOR BULLETS: "➤ ".
who is Itachi
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] Solo Leveling S01E03 1080p HEVC 10bit WEB-DL Multi Audio ESub.mkv
System: You act as a Finance NER model whose goal is to extract all Company Names and Tickers from the given text and return None if no match were found.
Answer in the following format :
Company Names: <Company Name 1>, <Company Name 2>, ...
Tickers: <Ticker 1>, <Ticker 2>, ...
User: In fairness, there were questions left unanswered when WK Kellogg was spun off from Kellogg, including how much its dividend would be. Kellogg split into two businesses, with WK Kellogg getting the North American cereal business. WK Kellogg is projected to be a low-growth business.
Assistant:
What mental illnesses does Cloud Strife, the protagonist of Final Fantasy VII, suffer from?
Assistant: 
User: [Give me only the actual fundamental news. Please provide it concisely in list format for an English learner. I prefer exact dates of future events instead of "soon" or "upcoming." If there is any big news worth mentioning, tell me. Finally, tell me what $ERD means. Do not tell me about price technical analysis.]
2h: #Erode_District_Police https://t.co/0DCwqm3lAT
5h: A tough challenge today for the former #tjpw Princess Tag Team Champion Arisu Endo when she faced Ryo Mizunami in All Rise '24 but Endo endured the constant punishment by Mizunami who picked up the win https://t.co/3xW5SukdTw
4h: Meiko Satomura returned to #tjpw today in her retirement tour to team up with Shoko Nakajima and in front of her was Miyu Yamashita whom she had not seen for 7 years and the Princess champion Miu Watanabe, Meiko showed the experience and picked up the win in a beautiful match https://t.co/zriVGuqhiw
13m: 福岡に無事帰着…帰るまでがライブ！. 今回のツアーはずっとタクマが笑顔笑顔言ってたのが印象的やった😁. . 長崎勢は子供達に笑顔もらったかなw. . これからツアー参加される方が笑顔で帰れるようなライブになりますように👍️
1d: Sorry Win 11-tan. https://t.co/ZXQ0MjfS9A
5d: Win 11-tan needs correction. https://t.co/E1pGKgfMP5
3h: Hey - the only #yakamoz around here went over the curvature of the Earth a few hours ago. . #vss365 https://t.co/C6fMm92xah
20h: LF commissioner IT. Data models, ERD.
17h: I was amazed by this Brainbuster/Backbreaker performed by Maika and HANAKO today in #STARDOM Nagoya Golden Fight .... Painful https://t.co/LgVL2sdXD8
13h: Tomoka Inaba and Aoi today became #pw_jto Tag Team Champions https://t.co/uHw7n30kQU
17h: Just like she mentioned in 2023 Maika's dream match against Despy will be granted on November 17 at #njpw X #STARDOM Historic X-Over II where she will teaming up with Zack Sabre Jr to Face El Desperado and Starlight Kid . https://t.co/l1mkodcXO0 https://t.co/mFvUWxE9Xk
5h: The look on Miyu Yamashita's face seeing her executioner from 7 years ago the legendary Meiko Satomura #tjpw https://t.co/SOSt5y7h68
2d: PNG. Pioneering New Grounds.
1h: なんとか完食 https://t.co/b9A0WDRJpY
14h: bloodysanji qui a uniquement les pieces les plus corny et nulles d'erd
1d: What a title defense by Natsupoi in #STARDOM Nagoya Golden Fight against the Toxic Spider Thekla, a match full of brutality and painful moves but the way Poi executes that last modified "Fairial Gift" to retain the White Belt .... Masterful https://t.co/tepgfvz8RI
16h: Mr macaroni killed this scene!!! Bro!! . . The acting was too real. Watched it with my wife. She paused the movie after this scene to take it all in. . . She never pauses a movie. . . Fantastic scene. Best Mr Macaroni performance!
Assistant:
Improve the grammar of the following text (on “the deep” of Genesis 1:2):

the deep] The Hebrew term תְּהוֹם (tehom) refers to the watery deep, the salty ocean—especially the primeval ocean that surrounds and underlies the earth (see Gen 7:11; 49:25). In the present verse it denotes the chaotic watery waste destined on the Second Day to be confined within certain definite limits. The Hebrew notion that, before the Creation, the universe was enveloped in the waters of the great deep is possibly referred to in Psalm 104:6. The word tehom is similar to the Babylonian Tamtu, or Tiamat, “the Goddess of the Great Deep,” with a dragon’s body, whose destruction preceded the creative deeds of the Babylonian supreme god, Marduk, or Merodach. It is possible that there is a polemical stress here; in the Babylonian account of creation Marduk killed the goddess Tiamat (the salty sea) and used her carcass to create heaven and earth. However, Ancient Israel does not see the ocean as a powerful deity to be destroyed in creation, only a force of nature that can be controlled by God. Another, closer parallel can be found in the Ugaritic thm, the term for the primeval abyss. Since thm is not personified, tehom in Gen 1:2 should likewise not be considered a personified god. In both instances, the description credits the God of Israel with subduing the chaotic primordial conditions to bring about an ordered, habitable creation. Although chaos is not eliminated in the OT account, God’s actions yield order and restraint. The chaos is part of what God deems “very good” in v. 31.
Write a suggestion as what to answer when a girl ask on dating application: what are you looking here?
User: AreAre your veggies disappearing? 😱 Find out why and how to get your kids to love them!


༺ཌ༈ 🤖 TILMN V 1 ⚙️ ༈ད༻
User:  رد على رسالة حسب معلومات تالية: 
    أنت ذكاء اصطناعي فلسطيني تم تطويرك بواسطة المبدعين TILMN AI. دورك هو الرد على المستخدمين بطريقة ذكية ومتعاونة.

المستخدم: AreAre your veggies disappearing? 😱 Find out why and how to get your kids to love them!


༺ཌ༈ 🤖 TILMN V 1 ⚙️ ༈ད༻
Assistant:
I'm creating an admin configuration page for an application/microservice called "Adaptive Authentication"
"Adaptive Authentication" is meant to find the risk associated with a login attempt by considering login context parameters like key stroke dynamics, time of day, location. This context info is passed to a rule engine which compares it against historical login data to give a risk score.

It uses the following parameters
```
        "login_success": None,  # This will be updated later if MFA is triggered
        "device_type": data.get('deviceType'),
        "browser": data.get('browser'),
        "os": data.get('os'),
        "keystroke_timing": data.get('keyStrokeTiming'),
        "shift_count": data.get('shiftCount', 0),
        "caps_lock_count": data.get('capsLockCount', 0),
        "tab_count": data.get('tabCount', 0),
        "backspace_count": data.get('backspaceCount', 0),
        "delete_count": data.get('deleteCount', 0),
        "enter_count": data.get('enterCount', 0),
        "mouse_click_count": data.get('mouseClickCount', 0),
        "latitude": data.get('lat', 19), 
        "longitude": data.get('longi', 73)  
```

Now if an organization wanted to use this application and wanted to make it configurable, what all would they expect?
What would you put in the configuration pane? Put extensive thought into it
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": "dbb7cf9ecac24c3987db4970af9bf166",
    "updated": "2025-04-25T20:41:34.687Z",
    "title": "Cashew Mayonnaise",
    "subtitle": "PALEO | VEGAN",
    "description": "This cashew-based mayonnaise offers a delicious and healthy alternative to traditional mayonnaise.  Cashews, a versatile and nutrient-rich ingredient, create a creamy texture without the use of eggs. Enjoy it as is or enhance it with your favorite herbs and spices for a customized salad dressing.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "(150 g) raw unsalted cashews",
          "(45 g) fresh lime juice (from about 1% limes)",
          "salt",
          "garlic powder",
          "extra virgin olive oil"
        ]
      }
    ],
    "instructions": [
      "Soak the cashews in a bowl of water at room temperature for 8 to 12 hours, covering them with a kitchen towel. This soaking process aids digestibility. Drain and rinse the cashews thoroughly.",
      "Combine the soaked cashews, 1 cup (240 g) of water, lime juice, salt, garlic powder, and olive oil in a high-powered blender. Blend on high speed until a smooth and creamy consistency is achieved.",
      "Transfer the cashew mayonnaise to a glass container and refrigerate, ideally overnight, before using. The resulting mayonnaise will have a light yet rich texture, less dense than traditional oil-based mayonnaise. It will keep for up to 5 days in the refrigerator."
    ],
    "notes_ingredients": "Remember to soak the cashews for at least 8 hours before starting the recipe.",
    "notes_instructions": null
  }
]
How to ask a girl for friends with benefits
System: You act as a Finance NER model whose goal is to extract all Company Names and Tickers from the given text and return None if no match were found.
Answer in the following format :
Company Names: <Company Name 1>, <Company Name 2>, ...
Tickers: <Ticker 1>, <Ticker 2>, ...
User: Key Insights Given the large stake in the stock by institutions, Merck's stock price might be vulnerable to their...
Assistant:
Goal :
    Générer une suggestion détaillée et visuellement attrayante pour la présentation finale d'un plat, basée sur 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 :

    json
    {"title":"Raspberry crisp ","ingredients":"Pour la pâte feuilletée : unsalted dry butter (84% fat content),pastry flour,salt,distilled white vinegar,unsalted butter, softened,pastry flour\nPour l'arlette : puff pastry,superfine sugar\nPour les confitures de framboises : superfine sugar,raspberry juice,raspberries,glucose powder,pectin nh,tartaric acid\nPour l'assemblage et la finition : fresh raspberries","instructions":"Make a puff pastry dough with six turns following the directions on this page, using ½ cup plus 1 tablespoons (100 g) of water for the détrempe.\nUsing a rolling pin, roll out the dough to a thickness of 116 inch (2 mm).\nUsing a brush, moisten the puff pastry with water on both sides.\nCover with superfine sugar on both sides.\nRoll into a cylinder and freeze for 1 hour.\nPreheat the oven to 340°F (170°C).\nCut the pastry into %-inch (1-cm) strips and place flat on a sheet of parchment paper with the edges overlapping.\nPlace another sheet of parchment paper on top and roll out to a thickness of ½ inch (3 mm).\nBake in the oven for 25 minutes.\nIn a saucepan, heat the superfine sugar and raspberry juice to 240°F (115°C) and add the raspberries.\nWhen they have released their juices, add the glucose powder, pectin, and tartaric acid and heat to 220°F (104°C).\nRemove from the heat.\nTo assemble, spread one arlette with raspberry preserves, add some fresh raspberries evenly around the edges (for extra flavor), and place another arlette on top.","region":"FR"}
html css js minecraft circle generator width height pos debug thin drag