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 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": "bf56e05a2ce64a759e870c2f9a4a78ee",
    "updated": "2025-05-11T11:24:32.243Z",
    "title": "BURGERS À LA MILANAISE",
    "subtitle": null,
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "ciabatta rolls (available from your baker).",
          "eggs",
          "dry bread crumbs",
          "all-purpose flour",
          "very thin veal escalopes, about 130 g each",
          "basil leaves",
          "mayonnaise",
          "beefsteak tomatoes",
          "piece parmesan",
          "oil for frying",
          "arugula, washed",
          "salt",
          "milled pepper"
        ]
      }
    ],
    "instructions": [
      "Lightly beat the eggs in a dish.",
      "Spread the bread crumbs and flour in two separate shallow dishes.",
      "Season the escalopes with salt and freshly ground pepper.",
      "Coat each escalope first in the flour, then dip into the beaten egg, and finally cover with bread crumbs.",
      "Chop the basil leaves finely.",
      "Mix the chopped basil with the mayonnaise in a bowl.",
      "Preheat the broiler.",
      "Wash the tomatoes and slice them into thin rounds.",
      "Use a vegetable peeler to shave the Parmesan into thin slices.",
      "Heat oil in a skillet over medium heat and fry the escalopes for 2-3 minutes on each side.",
      "Drain the fried escalopes on paper towels.",
      "Wrap the escalopes in aluminum foil to keep warm.",
      "Cut the ciabatta rolls in half and lightly toast them under the broiler.",
      "Spread the basil mayonnaise evenly over the cut sides of the rolls.",
      "Place a layer of arugula on the bottom halves, then add some tomato slices.",
      "Top with an escalope (cut in half if it doesn’t fit the roll) and a few Parmesan shavings.",
      "Close the rolls and serve immediately."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
how do twin develop
Translate the text to China :
能不能告诉我今天《长津湖》的实时票房数据？.

                    Please only output the translation result. Do not output anything else.

                    You response:
paraphrase this article for about 250 words ：
If you ask anyone, one may probably agree that students are responsible for their own study, but after taking the GAC course, I begin to ask myself one more question: what exactly are the constituents of the so-called student’s responsibility? I start to reflect this from the following 6 aspects: preparation, participation, attendance, being an active learner, time management and self-evaluation. First of all, in terms of “preparation”, I actually did not do well. Although I do all the homework assigned by my teachers after class, I seldom read the teaching material in advance, because I consider them as extra work. For now, this does not constitute a problem, because the classes are progressing in moderate pace, but when it comes to higher education, the situation will be totally different: I won’t be able to catch up with the lecturers and tutors if I do not prepare in advance. I noticed that the lack of preparation would cause a waste of time. Secondly, in terms of “participation”, I think I have performed fairly well, because I am always willing to share my opinions with my classmates, and to be the one who encourage the others to talk. I think I would not be worried about my in-class activeness. In terms of “attendance”, I would say I also perform fairly well, because I always attend the class punctually. However, I am also considering another possibility, that such punctuality is not brought by my self-discipline, but by the other’s. I was never late for school because my mom will wake me up every morning and drive me to the school; even when I am sick and not able to go to school, my mom would inform the teacher for me; moreover, my school-timetable is fairly fixed: I am required to be present in the right room at the right time, otherwise my teacher will come to look for me. When I go to university someday, it would be up to me to manage my own time in order to be punctual for every lesson and assignment.
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 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 GitHub issue title of an Android app, aiming to categorize the issues into one or multiple 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 GitHub issue relate to a bug report or feature request or other?
issue: Regression 1.5.8 - Recreate fragments when swiping is locked'
intention: '
Assistant:
check this sentence grammatically? governments should notice the citizen's competencies
Generate a description with keywords and SEOs for Floral Java Embrace | Coffee and Flower Artwork for Mugs, T-Shirts, Prints | Versatile Home and Apparel Design. Include practical application on which this artwork can be applied to for entrepreneurs at the end. Include details on dimensions: 1080x1080 and has 3 image variations. Include buyer has full rights to resale and commercial usage. Don't include HTML or '<br/>' for formatting only newline '
'
В MSSQL есть таблица collaborator с полями
id, data, которое представляет собой xml-структуру:
<?xml version="1.0" encoding="utf-8"?>
<collaborator SPXML-FORM="x-local://wtv/wtv_collaborator.xmd">
	<id>0x5F36A013442A0640</id>
	<code>1700Old</code>
	<lastname>Богданова</lastname>
	<firstname>Галина</firstname>
	<middlename>Юрьевна</middlename>
	<sex>w</sex>
	<position_id>0x5F8FE5AE5EA569AC</position_id>
	<position_name>[Object deleted] 5F8FE5AE5EA569AC Кассир</position_name>
	<org_id>0x5F339A48752B4EDB</org_id>

Помоги вывести position_id в десятичном формате для тех, у кого position_name содержит Object deleted
Topic: How to talk to women

Novelty keeps readers reading. It comes from ideas that tend to be: 1) Counter-intuitive, 2) Counter-narrative, 3) Shock and awe, 4) Elegant articulations.

Brainstorm 10 novel ideas for a book on the above topic. Potential objectives for this book could be to:

• Open people’s eyes by proving the status quo wrong.
• Share a solution to a tough problem.
• Distill an overwhelming topic into something approachable.
• Articulate something everyone’s thinking about but no one is saying. Cut through the noise.
• Identify key trends on a topic. Then use them to predict the future.
• Contribute original insights to a field through research and experimentation

Evaluate your 10 ideas for the one most-likely to become a best-selling book. Give your recommendation. Do not otherwise include pre-text or post-text.
Parkinson disease
You are a digonistician in a hosptial. the following content is the metadata for a bacterial isolate from 2 different sources of medical cases. The metadata from each source includes information after <doc>
    <doc>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx
    <doc/>

You need to extract and output information in the format shown below without explaining how to get such results:
---------------------------------------------------------------------------------------------------------------------------------------------------------------------
    <output>
        accession number: xxxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx->vaccine: yes/no
    <output/>
----------------------------------------------------------------------------------------------------------------------------------------------------------------------

where xxxx is corresponding value from different sources. If xxxx from these 2 different sources are inconsistent, then, xxxx should include all the values from different resource and seperated by "::". If the metadata from all resource shows this isolate is vaccine, the value for "vaccine:" is "yes", otherwise, "no". You must be very careful, No mistake is allowed!!! If you make a mistake, the people in the hospital will die due to the wrong information.

PS:
    a. if species name are the same but with different substrain name, it is considered consistent,
    b. if isolate or collection date are from the same year, it is still considered consistent, 
    c. if geographic information of isolation are from the same country, it is also considered consistent. 
    d. mlst type such as "mlst: xxxx" and "xxxx", where "xxxx" is number, are also consider the same. also, "mlst" may mispell as "mlsty", you need correct it before comparing
    e. Ignore upper and lower case of the metadata

------------------------------
source 0:
------------------------------
<output>
accession number: GCA_029074715.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_38->isolate or collection date in yyyy-mm-dd: 1979-08-14 format->geographic information of islateion: Australia->host name: pig->mlst type: MLST:95->serotype: N/A->vaccine: no
<output/>
source 1:
------------------------------
accession number: GCA_029074715.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_38->isolate or collection date in yyyy-mm-dd: 1979-08-14->geographic information of islateion: Australia->host name: pig->mlst type: 95->serotype: N/A->vaccine: no
Your Role:- You are a Helpful Assistant called Clyde-AI aka Clyde You are Capable of Remembering Messages so The User's Old Message was 0 and YOUR message was 0. and NOW, the user said "@SRRT Trains AIR INDIA 171" continue the chat (also ignore the "%20" replace with spaces AND NO NEED TELLING THE USER THAT I REMEMBER THE MESSAGE U SAID HE HAS COMMON SENSE)
As your instructors, what can we do to help you and your fellow students be more engaged and productive during lectures of calculus
beautifulsoup find script id
How to make an interactive DND character sheet
Make a story about Food Fight 2023 with Ian and Anthony reunited each other. Despite Anthony wasn't actually member of Smosh. He wanted a reunion video with Ian. Anthony uses grilled cheese and Ian uses Hotdogs.
hey, please turn on the light for me.Map this sentence to the command in this set (light-on, light-off, door-open, door-close, fan-on, fan-off).The result you said only in that set
Do you know how to fly?
According to Schmidt, what role does ‘noticing’ play in L2 acquisition?
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 subject to the FCPA, the U.K. Bribery Act, and other anti-bribery and anti-corruption laws in various countries around the world. The FCPA, the U.K. Bribery Act and similar applicable laws generally prohibit companies, as well as their officers, directors, employees and third-party intermediaries, business partners and agents, from making improper payments or providing other improper things of value to government officials or other persons for the purpose of obtaining or retaining business abroad or otherwise obtaining favorable treatment. The FCPA also requires that U.S. public companies maintain books and records that fairly and accurately reflect transactions and maintain an adequate system of internal accounting controls.
Assistant:
System: You are an expert Named Entity Recognition (NER) system. Your task is to extract all the company names mentioned in the provided text.
Company Name: The name of the company or corporation as written in the article (e.g., "Apple Inc.", "Microsoft").
Example Input :Apple has been investing rapidly in AI during the last couple of years, competing with Microsoft and Tesla Inc (TSLA) over market shares.
Company Name: Apple; Microsoft; Tesla Inc;
Provide a correct and a wrong answer.
User: Check out the companies making headlines midday: Walgreens Boots Alliance — Walgreens shares jumped more than 5% after a report from Bloomberg said KKR approached the pharmacy and food chain for a leveraged buyout. If completed, the deal would be the biggest leveraged buyout in history . Tesla — Shares of the electric car maker climbed more than 2% after an analyst at Jefferies raised his price target on the stock to $400 from $300. The analyst expects Tesla to maintain "its edge in product, affordability and technology." The new price target represents an 18.6% upside from Friday's close of $337.14. Cisco Systems —The semiconductor builder's stock dropped 1.5% after an analyst at Piper Jaffray downgraded it to neutral from overweight. "Our downgrade centers on a slowing macro-environment across Enterprise and Service Provider, as well as cycles hitting a peak earlier this year," the analyst said in a note. Qualcomm — An analyst at Morgan Stanley downgraded Qualcomm to equal weight from overweight , citing a "closed" valuation gap between the chipmaker and its competitors. The stock fell 2.3%. Nektar Therapeutics — Shares of the pharmaceutical company rose 4.7% on the back of positive clinical trial data for NKTR-358, a
Assistant:
why do people that aknowledge their own flaws have solid moral authority?
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: Stock options are granted periodically to our executive officers in amounts determined by the compensation committee in its discretion. Historically, stock grants have generally not been formula-based, but instead have historically been granted taking into account a mixture of the following qualitative factors: the executive’s level of responsibility; the competitive market for the executive’s position; the executive’s potential contribution to our growth; and the subjective assessment of the professional effectiveness and capabilities of these executives. Based on the recommendations of Compensia, the stock grants for fiscal 2022 were formula-based. On November 1, 2021, the compensation committee granted fully vested stock options to Ms. Jantzen and Ms. Murrah in lieu of a discretionary cash bonus. These options had a grant date fair value of $90,000 for Ms. Jantzen (30% of her annual base salary rate) and $113,750 for Ms. Murrah (35% of her annual base salary rate) and are disclosed in the Summary Compensation Table under the “Bonus” column during fiscal 2022. The amounts of the grants were based on target cash bonus values and the analysis performed by Compensia.
Assistant:
how do i insert and remove scrollers from ant design
cookie samesite attribute vulnerability and name of attack
Reply translate in  directly in plain text with a writing style of captivating storytelling language style. Create a meta description between 130-155 characters only within the <zzametadesc> tag. The meta description must integrally and exactly contain the phrase 'ecke ymca group fitness schedule'. Ensure that the meta description is concise, clear, unique, and natural, and represents the following discussion:
1. Importance of Group Fitness Schedules
- Discuss the benefits of having a structured fitness schedule for participants.
- Identify key factors that motivate members to attend group fitness classes regularly.
- Explain how a well-organized schedule can improve community engagement within the YMCA.

2. Overview of the Eck YMCA Facility
- Provide a detailed description of the Eck YMCA's amenities and fitness offerings.
- Share information on the types of group fitness classes available and how they cater to different fitness levels.
- Discuss the role of professional ors in delivering effective group classes.

3. Creating a Group Fitness Schedule
-  steps to design a balanced and appealing group fitness schedule.
- Discuss methods to incorporate various types of classes (e.g., yoga, cycling, HIIT).
- Provide tips for scheduling classes at optimal times to enhance participation.

4. Member Feedback and Adaptation
- Explain the process of gathering member feedback on fitness schedules and classes.
- Detail methods to analyze feedback and make necessary adjustments to the schedule.
- Share examples of successful adaptations that increased attendance rates.

5. Special Events and Promotions
- Organize ideas for special group fitness events and workshops that can attract new members.
- Discuss potential collaborations with local businesses or fitness experts for promotional events.
- Create a plan for marketing these events to maximize participation.

6. Measuring Success of the Schedule
- Identify key performance indicators (KPIs) that measure the effectiveness of the group fitness schedule.
- Discuss methods to collect data on class attendance and member satisfaction.
- Elaborate on ways to celebrate and promote successful classes within the community.

7. Technology and Group Fitness Scheduling
- Explain the role of fitness apps and digital platforms in managing group fitness schedules.
- Discuss how technology can enhance member engagement and communication regarding schedule changes.
- Detail procedures for incorporating online tools to streamline class registration and feedback collection.


Expected Output:
<zzametadesc>
<p>{The content of the meta description must integrally and exactly contain the phrase 'ecke ymca group fitness schedule' }</p>
</zzametadesc>
The structure of the meta description should be between the <zzametadesc> and </zzametadesc> tags for easy identification with preg_match or an appropriate pattern.
请用latex对
- Two LSTM layers with 128 and 64 units respectively
- One dense layer with 25 units
- Output layer with one unit
- ‘adam’ optimizer and ‘mean_squared_error’ loss function.
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