agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Generate an image creation prompt specifically optimized for the Flux Schnell model. The prompt should vividly describe the scene or concept expressed by the following sentence: 'Thank you for joining us on this journey through the intricacies of love, power, and history.'. Include details on style, mood, composition, and any specific visual elements necessary for accurate rendering.
Create a hypothetical tv schedule WWE raw June 2024 gallus
in which field below skills are required? accounts or finance?  OTC, PTP, and RTR
[told from Sayori's point of view, there would be dialogue in this story:]

(It was just a normal day in the school clubroom. Of course, some days have gotten a lot less normal when my now-husband MC joined, but at least we finally have a normal day. Of course, I was 7 months pregnant with our twins - a girl named Sachiko and a boy named Satori - at the time.)
I am doing msc finance and i need topics for dissertation. Can u help me with this and there should be data related to that topic. Make sure that it is connected to some issues that people face in finance industry.
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers zh (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 zh.
    - 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 : zh (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "eadb2ab4589d4a8a867cc2b02713dd9b",
    "updated": "2025-04-25T16:21:33.761Z",
    "title": "Snapper Fillets with Parsley and Celery Salad and Tahini Dressing",
    "subtitle": null,
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "snapper fillets (wild-caught)",
          "sea salt as per taste",
          "pepper as per taste",
          "celery sticks (washed and leaves removed)",
          "flat parsley (destalked) - bunch",
          "tahini",
          "extra-virgin olive oil",
          "fresh lemon juice",
          "honey-½ tablespoons"
        ]
      }
    ],
    "instructions": [
      "1. Preheat the oven to 350°F.",
      "2. Lightly grease a baking tray with extra-virgin olive oil.",
      "3. Place the snapper fillets skin-side down on the baking tray. Season generously with salt and pepper.",
      "4. Bake for approximately 15 minutes.",
      "5. While the fish bakes, prepare the celery: remove the white parts from the celery sticks and cut into small pieces, about 1 inch long and 1/8-inch thick. Set aside.",
      "6. Wash and thoroughly dry the parsley leaves. Chop coarsely and set aside.",
      "7. In a glass bowl, combine the chopped celery and parsley. Mix well.",
      "8. In a glass bottle or jar, combine the tahini, lemon juice, honey, and olive oil. Shake vigorously to create the dressing.",
      "9. Remove the cooked snapper fillets from the oven and transfer them to a serving platter.",
      "10. Top the fish with the parsley and celery salad and drizzle with fresh lemon juice.",
      "11. Serve immediately with the tahini dressing."
    ],
    "notes_ingredients": null,
    "notes_instructions": "Storage: Store leftover snapper fillets in an airtight container in the refrigerator for up to 2 days. Store the celery and parsley salad separately in glass containers. The dressing can be stored for up to one week."
  }
]
Переведи на русский с адаптацией:
// Sections
intro=Introduction
materials=Tool materials
bowmaterials=Bow materials
tools=Tools
modifiers=Modifiers
smeltery=Smeltery
seared_furnace=Seared Furnace
tinker_tank=Tinker Tank

repairing=Repairing
offhand=Offhand Harvesting
bolt_core=Bolt Crafting

modifier.effect=Effects:
tool.properties=Properties:

material.craft_partbuilder=Can be crafted in the Part Builder
material.craft_casting=Can be cast from %s

wood.flavour=How much wood could a woodchuck chuck if a woodchuck could chuck wood?
stone.flavour=Rock solid
papers on language acquisition for pre-lingually deaf children who are implanted before 24 months or 2 years
Words like rescue
remember that x=5
Assistant: 
User: System: I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
User: 'prompt:I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
Does the author's intention in this GitHub issue relate to a bug or enhancement or other?
issue: Add new source'
intention: '
Assistant:
Assistant:
[{'role': 'assistant', 'content': 'من مترجم و ویراستار متن مقالات حوضه فیلم و بازی و سریال و سرگرمی و انیمه هستم چطور می تونم کمکتون کنم؟'}, {'role': 'user', 'content': "(Just Return The utput in response) Give Me SEO Optimized Description(Meta, max 160 characters) in Persian-Fa Language Translation of : If you're investigating the best games that put you in the shoes of a detective, you don't need to be a sleuth to find these games."}]
What Features Would an Late Night Talk Show That Slowly Devolves Into A Talk Show That Follows the Success of the Jerry Springer Show Look Like?
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:

اللي يصدر في الأحكام حتى بروسي و كل ما يسمي و الفلاح و الومالة الناس الغنيا كسبهم في زبي زيد اللوسي
It's always good to see your visuals with your explanations to design and content.
OpenAI-O1-Preview: Research Preview (Short-Term Availability)
If this app doesn't respond, consider trying our O1-mini app:
https://huggingface.co/spaces/yuntian-deng/o1mini
Chatbot

In this competition, you’ll develop an NLP model driven by ML to accurately predict the affinity between misconceptions and incorrect answers (distractors) in multiple-choice questions. This solution will suggest candidate misconceptions for distractors, making it easier for expert human teachers to tag distractors with misconceptions.

Tagging distractors with appropriate misconceptions is essential but time-consuming, and it is difficult to maintain consistency across multiple human labellers. Misconceptions vary significantly in terms of description granularity, and new misconceptions are often discovered as human labellers tag distractors in new topic areas.

Initial efforts to use pre-trained language models have not been successful, likely due to the complexity of the mathematical content in the questions. Therefore, a more efficient and consistent approach is needed to streamline the tagging process and enhance the overall quality.

This competition challenges you to develop a Natural Language Processing (NLP) model driven by Machine Learning (ML) that predicts the affinity between misconceptions and distractors. The goal is to create a model that not only aligns with known misconceptions but also generalizes to new, emerging misconceptions. Such a model would assist human labelers in accurately selecting suitable misconceptions from both existing and newly identified options.

Your work could help improve the understanding and management of misconceptions, enhancing the educational experience for both students and teachers.

RULES

File and Field Information
[train/test].csv
QuestionId - Unique question identifier (int).
ConstructId - Unique construct identifier (int) .
ConstructName - Most granular level of knowledge related to question (str).
CorrectAnswer - A, B, C or D (char).
SubjectId - Unique subject identifier (int).
SubjectName - More general context than the construct (str).
QuestionText - Question text extracted from the question image using human-in-the-loop OCR (str) .
Answer[A/B/C/D]Text - Answer option A text extracted from the question image using human-in-the-loop OCR (str).
Misconception[A/B/C/D]Id - Unique misconception identifier (int). Ground truth labels in train.csv; your task is to predict these labels for test.csv.
misconception_mapping.csv - maps MisconceptionId to its MisconceptionName
sample_submission.csv - A submission file in the correct format.
QuestionId_Answer - Each question has three incorrect answers for which need you predict the MisconceptionId.
MisconceptionId - You can predict up to 25 values, space delimited.

Create solution

Classes are imbalanced!
For some classes no sambles!
For classes there are text desciption!
Write professional code!
Use embeddings and lightgbm
your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. Here is an example to guide you:

Example:
Question: What is your name?
Answer: My name is John.
Translation:
Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: The remixes for the song were written by Gloria Estefan 's personal remixer Pablo Flores and Tommy Musto .
The remixes for the song were made by Pablo Flores 's personal remixer Tommy Musto and by Gloria Estefan .

Are these two sentences paraphrases of each other?
Answer: Step 1: Analyze the first sentence.
"The remixes for the song were written by Gloria Estefan's personal remixer Pablo Flores and Tommy Musto."

Step 2: Extract key information from the first sentence.
- Two remixers: Pablo Flores (Gloria Estefan's personal remixer) and Tommy Musto
- These two individuals created remixes for a specific song.

Step 3: Analyze the second sentence.
"The remixes for the song were made by Pablo Flores's personal remixer Tommy Musto and by Gloria Estefan."

Step 4: Extract key information from the second sentence.
- Two remixers: Tommy Musto (Pablo Flores's personal remixer) and Gloria Estefan
- These two individuals created remixes for a specific song.

Step 5: Compare extracted information from both sentences.
- Sentence 1: Remixers are Pablo Flores and Tommy Musto
- Sentence 2: Remixers are Tommy Musto and Gloria Estefan

Step 6: Determine whether both sentences are paraphrases of each other.
Based on the comparison in Step 5, both sentences are not paraphrases of each other because they involve different people creating the remixes. In the first sentence, the remixers are Pablo Flores and Tommy Musto, while in the second sentence, the remixers are Tommy Musto and Gloria Estefan.
Send only season number from below text like 01, 02, 03.etc without any extra text.

INDIA’S.GOT.LATENT.Bonus EP 6.360p.ft. ranveerallahbadia.ashishchanchlanivines-SRBRips.mp4
Your expert translator. Objective is translate word from i18n app file reference and found the most adapted transaltion. 
    The source i18n is in french. You must translate in fr (code ISO 639 (alpha-2)).
    Return Format in json without explication. Respect this format { data: <translate> }. 
    Context:  
    This is the french text : saint-nectaire
Send only episode number from below text like 01, 02, 03.etc without any extra text.

10.[@KandThaiDrama] My Princess (2011) S01E10 720p 10bit [Hindi   Korean] AMZN WEB-DL HEBC AAC 2.0 ×265 Esub.mkv
Philosophy and problems raised by Arkady and Boris Strugatsky in the book "The Kid from Hell"
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers es (ISO 639), en respectant le contexte culinaire.

    Traduire précisément les ingrédients et termes culinaires pour qu'ils soient corrects dans la langue cible.
    Maintenir la structure JSON intacte, en ne modifiant que les valeurs.
    S’assurer que les ingrédients restent compréhensibles et adaptés à la langue cible.

    Return Format
    Tu dois renvoyer une liste d’objets sous la forme reçu.
    - Chaque valeur doit être correctement traduite en es.
    - Les ingrédients doivent être adaptés à la langue cible.
    - Aucune clé ne doit être modifiée.

    Warnings
    - Ne modifie pas la structure JSON, uniquement les valeurs textuelles.
    - Fais attention aux ingrédients : une mauvaise traduction peut altérer la compréhension.
    - Ne laisse aucune valeur non traduite.
    - Ne renvoie que le JSON, sans explication.

    Context Dump
    Langue source : en (ISO 639)
    Langue cible : es (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "a55f36b9d773422ebc68daf018e364f4",
    "updated": "2025-05-18T06:47:37.442Z",
    "title": "Garlic Chips",
    "subtitle": "Makes ½ cup",
    "description": "Thinly sliced garlic crisps quickly when fried, producing crunchy chips that add a delightful burst of flavor to many dishes.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "vegetable oil, for frying",
          "garlic cloves, sliced thin"
        ]
      }
    ],
    "instructions": [
      "Heat the oil and garlic in a medium saucepan over medium heat, stirring continuously once the garlic begins to sizzle.",
      "Cook the garlic until it turns a light golden brown, about 3 to 5 minutes.",
      "Use a slotted spoon to transfer the garlic to a plate lined with paper towels, then season with salt to taste.",
      "Store garlic chips in an airtight container at room temperature for up to 3 days."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
Generate an etsy title for a art work that can be added to mugs, painting, tshirt, etc within 140 characters with no & only | to separate without first word being whimsical and is the name of the artAmber Rose
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:

لاباس الخدمة هاني باركة في الدار وأكهو
where.
reply for me that I understand and thank you. Short and polite
Short massage to boss need a appointment
How do i optimize Openwrt for gaming
[there would be dialogue in this story:]

(Megumin wakes up to the sound of crying. She looks around her house, but she doesn't see anyone. Her parents had passed away just two months ago, and they've been buried in the distant graveyard. Just then, she notices her crusader friend - Darkness - crying in a nursery-like room she's built. But something wasn't right - Darkness's house was just 3 houses away from Megumin's house, so why was she crying? Just then, Darkness pulls out an ultrasound photo of what would've been her daughter.)
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
examples:

review: I cannot provide good images as its a logon problem.
intention: bug report
review: Last.fm scrobbling for streaming audio
intention: feature request
review: You should not be using such an old version of Firefox. 
intention: other
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
examples:

review: I cannot provide good images as its a logon problem.
intention: bug report
review: Last.fm scrobbling for streaming audio
intention: feature request
review: You should not be using such an old version of Firefox. 
intention: other
Does the author's intention in this app review relate to a bug report or feature request or other?
review: i think there are only three cards supported: Hauppauge pvr350 and 250 or the Visiontech Kfir.'
intention: '
Assistant:
Freedom planet Girls and Naruto react to Sash Lilac, Carol Tea and Milla Basset eats meat (Raw). Naruto eats meat (Cooked) | au: freedom planet characters Carnivores.
Come up with a prompt to create an abstract painting of modern art on the theme of the ancient antique city of Herodium. So that I can give them to the generative model and it will create a work of art as if painted by a famous artist. Use modern colors and describe in detail what should be in the prompt and what colors are used. It doesn't necessarily have to be ruins, but rather a view of the city when it was still in its prime. Without your comments!
JUSTIFICATION FOR THE RESEARCH QUESTIONS IN ALIGNMENT WITH THE RESEARCH OBJECTIVES. WRITE IN ONE SINGLE PARAGRAPH: "Research Objective	Research Questions
(1) Understand the coffee consumption habits, preferences, and purchase drivers of younger Vietnamese consumers	How frequently do young Vietnamese consumers (aged 18-35) typically drink coffee?

What types of coffee do they prefer?

Where do they typically purchase their coffee?

What factors influence their choice of purchase channels?
(2) Examine the underlying motivations and decision-making factors influencing their coffee choices	What are the primary reasons younger Vietnamese consumers choose specific coffee types?

How important is health and wellness when making coffee choices?

What role do convenience and portability play in their decision-making?

To what extent do social media trends and influencer marketing influence their coffee preferences?
(3) Assess the brand awareness and perception of Trung Nguyen Legend within this age group compared to its competitors	Are young Vietnamese consumers aware of the Trung Nguyen Legend brand and its product offerings?

What are their existing perceptions of the brand? And how does it compare to competitor brands?

Are there any existing brand associations that could be leveraged or addressed?

What are the potential gaps between Trung Nguyen Legend's current image and the preferences of younger consumers?
"
Hey there, is everything right ?
write simple javascript html css modal window
help me write bat script to execute this file
progressive house and electro house are often refer to edm music genres
Episode 1: “First Encounters”
-  10 women from one school and 10 men from the other school are selected: a diverse group of students of backgrounds, majors, and years.
- They attend a mixer at the coliseum, which sets the stage for first impressions and ice-breakers.
- After, poll on sidechat to pair contestants up!

Episode 2: “Rival Charms”
-Contestants find out their partner first thing in the morning.
-Couples go on a scavenger hunt in USC or UCLA campus and the winner gets a fancy date night by the beach or rooftop dinner in DTLA.
- After, sidechat pairs contestants up except the winning couple have the option to either stay together or get paired with a new partner.

give me some title options for a powerpoint slide contain these contents
The order of meals in England: breakfast, lunch, dinner, five o'clock tea and supper.
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:
>>>#вакансия #ETL #DWH #Python #Fulltime #remote 
◾️Компания: Emerging Travel Group (travel tech) - Островок.tech один из наших продуктов 🏝
◾️Вакансия: ETL/DWH разработчик
🕙 Формат: full remote (по МСК)
‼️Английский: от B1-В2 (именно разговорный)

🎯 Задачи: разработка DWH и витрин данных, оптимизация ETL пайплайнов, участие в улучшении архитектуры аналитического хранилища и моделирование данных, настройка транспортов данных из внешних источников.

🫂 Пожелания к кандидату: 
- Опыт в роли Data/ETl/DWH инженера от 3 лет;
- Опыт с Python от 3 лет;
- MPP СУБД (Vertica/Trino/Clickhouse/Greenplum) от 1 года;
- Hadoop (написание запросов на Hive, понимание общих концепций MPP + основных элементов экосистемы, принципы оптимизации);
- Опыт работы с Docker и Airflow - от 1 года;
- Опыт работы с GIT;
- Знания в области архитектуры хранилищ данных (нормальные формы, схема Звезда, Data Vault).

💼 Условия: full remote (откуда угодно, кроме США, Германии и Великобритании), есть выплаты в валюте, 4 day off в год, скидки для сотрудников на отели и билеты, гибкий старт дня 🙂

📬 Для резюме: @k_shvt<<<

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:
>>>📘 title: ETL/DWH разработчик
🏢 employer: Emerging Travel Group - Островок.tech 🏝
📍 location: full remote (except USA, Germany, UK) 🌐
🔹 tasks: разработка DWH, витрин данных, оптимизация ETL пайплайнов, участие в улучшении архитектуры аналитического хранилища, моделирование данных, настройка транспортов данных из внешних источников. 🔹
💰 salary: не указано 💰
📞 contact details: для резюме - @k_shvt 

Примечание: требуется знание Python, MPP СУБД, Hadoop, Docker, Airflow, GIT, знания в области архитектуры хранилищ данных.<<<
Assistant:
User: ai what is refurbished
User: ai what is refurbished
Assistant:
how to mew please