agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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: really disappointed with your customer services team. Ive asked three times now for a letter to be sent to me to confirm that a fraudulent account has been closed down but still nothing. Ask to speak to managers but theyre always in a meeting. #fraud #CustomerExperience
intention: bug report
review: I don't need a dm. Why don't your stores carry what I need for my phone?
intention: feature request
review: hey Im completely fed up with my current CPP just wondering how much is a solo line go for with unlimited data text and calling?
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: really disappointed with your customer services team. Ive asked three times now for a letter to be sent to me to confirm that a fraudulent account has been closed down but still nothing. Ask to speak to managers but theyre always in a meeting. #fraud #CustomerExperience
intention: bug report
review: I don't need a dm. Why don't your stores carry what I need for my phone?
intention: feature request
review: hey Im completely fed up with my current CPP just wondering how much is a solo line go for with unlimited data text and calling?
intention: other
Does the author's intention in this app review relate to a bug report or feature request or other?
review: your internet sucks Ive been paying for it to just not work since I had it installed cancel my service right nowwwww'
intention: '
Assistant:
As a computer science PhD student, what kind of jobs can I find after graduation. I work on AI
Write a comedic and vividly detailed Croods trailer an scene about Guy going to relax in a pond. He’s in the buff (describe his face, hair, butt) and enters the water. Describe how he looks while relaxing. he happily lets out a fart into the water, enjoying the relief after. Some fish go bellyup from the stench and he happily grabs one to cook for his dinner.
here to update that our bank has reverted and claimed that they have proceed with the refund but that is not guaranteed. No documentation is available as for now but only MT103 report, which furnished by our bank the same as above.

rephrase casually in short
Freedom Planet girls (Lilac, Carol and Milla) + naruto react to Naruto eats pancakes. girls shrieked in fright (Freedom Planet Characters Herbivores and Scared by Carnivores. naruto Carnivores and  Average animals)
Do UCLA and USC play each other every year?
System: You are provided with a paragraph. Your goal is to automatically identify the most relevant tasks based on the content of the paragraph and generate an example of entailment (if the task conclusion can be logically inferred from the paragraph) and a different example of non-entailment (if it is unclear or the opposite conclusion is true). 

Step 1: Read the paragraph carefully. 
Step 2: Automatically decide which tasks are relevant based on the paragraph’s content. Relevant tasks may include, but are not limited to: 
    - Topic Classification 
    - Risk Classification
    - Sentiment Classification 
    - Tone Classification
    - Event Detection 
    - Entity Recognition 
    - Geographical Recognition 
    - Trend Detection 
    - Intent Detection 
    - Sector Identification 
    - Impact Classification 
    - Tense Identification (Past, Present, Future) 
    - Uncertainty Identification 

Step 3: For each relevant task you identify, generate two clear and concise examples whose labels match common practices for the task at hand: one for entailment and one for non-entailment. The example should speak about the text at the 3rd person. 
Step 4: Output the results in the following JSON format:

{
    'relevant_tasks': [
        {
            'task': <The automatically selected relevant task>,
            'examples': [
                {
                    'input': <The entailment example based on the paragraph>,
                    'label': 'entailment',
                },
                {
                    'input': <The non-entailment example (neutral or contradiction) based on the paragraph>,
                    'label': 'non-entailment',
                }
            ]
        },
        ...
    ]
}
User: Our unsecured revolving credit facility, term loan facility, senior notes and other loans that we may obtain in the future contain certain cross-default provisions as well as customary restrictions, requirements and other limitations on our ability to incur indebtedness, including covenants involving our maximum total debt to total asset value; maximum permitted investments; minimum tangible net worth; maximum secured debt to total asset value; maximum unsecured debt to eligible unencumbered properties; minimum unsecured interest coverage; and minimum fixed charge coverage. Our ability to borrow under our unsecured revolving credit facility and our term loan facility is also subject to compliance with certain other covenants. We also have senior notes issued in a private placement transaction that are subject to certain covenants. In addition, some of our properties are subject to mortgages that contain customary covenants such as those that limit our ability, without the prior consent of the lender, to further mortgage the applicable property or to discontinue insurance coverage.
Assistant:
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 : georgia
From the following list, identify the index that contains only Persian characters and select the one that is more suitable based on content or length. The output should only be the numerical index.

List:
['«\n\n\nمدلی فعلی هیچ فیلدی از نوع many2one ندارد.\n\n\nبرای ایجاد فیلدی از نوع one2many در مدل فعلی، ابتدا باید متقابل many2one آن را در مدلی که می\u200cخواهید به آن مرتبط شوید، ایجاد کنید.»', 'Request ended with status code 403', '"\\n"\n"    هیچ فیلدی از نوع many2one به مدل فعلی مرتبط نیست.\\n"\n"    برای ایجاد فیلدی از نوع one2many در مدل فعلی، ابتدا باید همتای many2one آن را در مدلی که می\u200cخواهید به آن مربوط شود ایجاد کنید.\\n"']
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers it (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 it.
    - 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 : it (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "7208ec2b56084e508d850ea5a98a16ee",
    "updated": "2025-05-07T19:14:03.607Z",
    "title": "Piña Colada",
    "subtitle": null,
    "description": "Virgin piña coladas, while delicious, tend to be quite sweet. A well-balanced mocktail requires an element that offsets sweetness and adds depth. This version incorporates frozen pineapple chunks for extra texture and uses a dark rum alternative to provide a pleasant kick. Fresh pineapple chunks can also be used instead of frozen ones.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "frozen pineapple chunks",
          "pineapple juice",
          "cream of coconut",
          "coconut milk",
          "dark rum alternative",
          "crushed ice",
          "pineapple fronds and 3 maraschino cherries for garnish"
        ]
      }
    ],
    "instructions": [
      "Place a highball glass in the freezer to chill while you prepare the drink. A pineapple-shaped glass adds a fun touch!",
      "Add pineapple chunks, pineapple juice, cream of coconut, coconut milk, rum alternative, and crushed ice into a blender.",
      "Blend the mixture until smooth. If the drink is too thick, add a little more pineapple juice to reach the desired consistency.",
      "Use a spatula or bar spoon to transfer the blended mixture into the chilled highball glass.",
      "Garnish by placing pineapple fronds on top and finishing with cherries skewered on a cocktail pick.",
      "Add a decorative straw and enjoy this refreshing and delicious mocktail!"
    ],
    "notes_ingredients": "Fresh pineapple chunks can be used as a substitute for frozen pineapple chunks.",
    "notes_instructions": "To keep pineapple fronds fresh for garnishing, rinse them under cool water before use. Store the fronds in a resealable plastic bag in the freezer until needed."
  }
]
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:

مسكين اللي بش يصلحلي الفرنسي بش يتجلط
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
qui est le plus fort au plan mondial en matière de catch?
Assistant: Hello! How can i help you today?
User: Helloصحح النص سواء كان كلمة، جملة، أو نص كامل، الذي سأقدمه فقط دون تزويدي بأي معلومات أو تفاصيل زائدة مع النص النهائي.
Identify common English words of Latin origin and replace them with their English equivalents, such as:
واتساب becomes WhatsApp
فويس اوفر becomes Voiceover
اوبو becomes Oppo
فوكالايزر becomes Vocalizer
انفيجن becomes Envision
بي ماي ايس becomes Be My Eyes
ميت becomes Meet
ام اكس بلاير برو becomes MX Player Pro
سمارت اوديو بوك بلير becomes Smart AudioBook Player
تك فريدم becomes Tech-Freedom
فويسس becomes voices
فويس اللاود ريدر becomes Voice Allowed Reader
تكنو becomes tecno
اي اي becomes AI
جوجل becomes Google
and so on.
Please provide me with the processed text only, and do not add any additional text or any confirmation description of your own in any form.
This is the text:
بيقول الكلام اللي جوايا هو مش كله بس بيقولوا بيوصف حالتي معاكي بالظبط
Assistant:
Give 10 categories of tribal dragon  tattoos in html h3 headings. For each category, give 60 to 100 words description, followed with 3 examples of further designs under this category which may be combinations with other motifs. Write them  in different lines but not in any of html tags or markdown or with bullets, You may incorporate styles or placements. Don’t repeat the same word at the beginning. Don’t include the word “motif” or “category”
I need to validate bulk numbers
Write a forum conversation asking if anyone remembers a show on the CW4Kids about a group of kids who made their own video game then got sent to a alien planet that is like it
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":"Soldier's Stew While preparing for the Great Battle at Winterfell, the warriors were fed a last meal that resembled this spicy chili. Sir Jorah doled it out to soldiers as young as 10 years old to fill their bellies before facing their doom.","description":"","ingredients":[{"section":"For the recipe","ingredients":["8 ounces processed cheese, cubed","8 ounces mild Cheddar cheese, cubed","7 ounces mild salsa, chunky","15 ounces chili","4 ounce chili powder","8 ounces sour cream","A dash of hot sauce"]}],"instructions":["1. Melt the processed and cheddar cheese in a medium pan over Low heat until completely melted,","2. Blend the cheeses together thoroughly and add salsa, chili, sour cream, chili powder and hot sauce","3. Cook all ingredients, stirring often for 10-15 minutes. Serve warm"]}

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>" }
- Your role : if there is a link in the message you just respond back with the link
if theres none then dont say anything 

- User Message: " https://tenor.com/view/epic-embed-fail-ryan-gosling-cereal-embed-failure-laugh-at-this-user-gif-20627924 ".
翻译：BLOOMZ (176B) (Muennighoff et al., 2022) is
initialized with BLOOM (176B) (Scao et al.,
2022), and then fine-tuned on the instruction
dataset xP3 (Muennighoff et al., 2022), a collection
of human-instruction datasets in 46 languages,
coming from two sources: (1) P3, which is
a collection of (English instruction, English
response) pairs; and (2) an (English instruction,
Multilingual response) set which is transformed from multilingual NLP datasets (e.g., Chinese
benchmarks) by filling task templates with pre-
defined English instructions.
For automatic evaluation, BLOOMZ performs
better than BLOOM in the zero-shot setting
by +10.4%, 20.5%, and 9.8% on coreference
resolution, sentence completion and natural
language inference datasets, respectively. For
the HumanEval benchmark (Chen et al., 2021),
BLOOMZ outperforms BLOOM by 10% in terms
of the Pass@100 metric. For generative tasks,
BLOOMZ receives +9% BLEU improvement
compared to BLOOM on the lm-evaluation-harness
benchmark
Define intercepts, zeroes or asymptotes in rational function.
write a own idea wiki on, fanmade super smash bros ultimate character vol. 1 - wonder momo (namco)
write an spaceship poem
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers de (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 de.
    - 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 : de (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "e3493007c1854752be8f24bb3fe5a33f",
    "updated": "2025-05-17T05:03:17.767Z",
    "title": "Coconut Candy",
    "subtitle": "Delightfully sweet and chewy, this coconut-rich treat is sure to evoke fond memories for those who enjoyed it growing up. Fresh coconut is cooked in a coconut-based caramel sauce before being shaped into small, bite-sized balls. If needed, desiccated coconut can be used as a substitute, though fresh coconut offers a superior flavor.",
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "coconut",
          "soft brown sugar",
          "tinned coconut milk",
          "salt"
        ]
      }
    ],
    "instructions": [
      "Break open the coconut and remove the white flesh.",
      "Grate the coconut using the coarse side of a box grater.",
      "You should have about 2 cups of grated coconut. If using desiccated coconut, measure out 2 cups.",
      "Combine the sugar and coconut milk in a frying pan and cook over high heat, stirring frequently, until the mixture thickens into a syrup.",
      "This process will take approximately 5-6 minutes.",
      "Add the salt and grated coconut, mixing quickly to incorporate everything evenly.",
      "Continue cooking the mixture in the pan for 7-8 minutes, stirring occasionally, to evaporate any excess moisture.",
      "Transfer the mixture onto a tray lined with parchment paper and let it cool for 10-15 minutes, or until it is cool enough to handle.",
      "Shape the mixture with your hands into 12 small balls and allow them to cool completely before serving.",
      "Store the coconut candy in an airtight container for up to 2 weeks."
    ],
    "notes_ingredients": "If substituting with desiccated coconut, set aside 2 cups.",
    "notes_instructions": null
  }
]
What does increasing the temperature parameter on this space do?
как сделать, чтобы у формы был выпадающий список name?
<div class="row">
			 <ncs:formField label="Данные для поиска клиента " name="searchType" colLabel="3" col="3">
				<form:select path="searchType" id="field-searchType" class="form-control" onchange="doChange()">
					<form:option value="inn" selected="selected">ИНН</form:option>
					<form:option value="name">Наименование</form:option>
					<form:option value="code">Одноразовый пароль</form:option>
					<form:option value="id">partnerID</form:option>
				</form:select>
			</ncs:formField>
		</div>
paraphrase it.' In this globalized world, migration is increasingly becoming a “rising policy priority” affecting countries of origin, destinations, and transitions and as a combinations of all (ILO 2015: iii). '
Translate the text to Trinidad and Tobago :
Por favor, dame la información actualizada de Covid-19 en Trinidad y Tobago..

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

                    You response:
Can you write a story about mixed-feelings? The context is an 8-year old girl in the 1960s wets her bed. Every morning the bed is soaked and smelly. Her widowed father cannot keep up with that much laundry, so he makes the difficult decision to put his daughter back in diapers at night. 1960-style diapers were cloth, with pins and plastic pants, not pull-ups that the children can put on by themselves. The child is mortified and feels like a baby as her father diapers her at bedtime. But after the lights are out and she drifts off to sleep, she feels protected and loved, and secure knowing that her bed will be dry in the morning.
how to check sharepoint's modern page url if file exists in java
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: 'As we explore these narratives, we can learn that history is not just about wars and treaties; it's also about the connections we forge.'. Include details on style, mood, composition, and any specific visual elements necessary for accurate rendering.
[Response must be written as a short blurb.]
What is liquid democracy?
Suppose you're going to develop an interview of sorts to help flesh out characters from a story. Which questions should be asked?
(It was an ordinary day as any. I was just chilling in my room, working on some poems. Even though MC died 8 months ago, I couldn't help but feel worried about what I'd do next. But when I finished my last poem, I felt a strong pain in my belly. And then, a loud "POP" sound - and what looked like water had appeared on the bed. I quickly realized what was going on, and immediately called Yuri on my phone.)

Yuri: "What is it, Sayori? I'm in the middle of helping Natsuki through her own labor right now."
def get_inferencing_model_details():
    config = load_config()
    base_dir = config["general_settings"]["temp_models"]
    s3_model_inference_models = config["data_storage"]['models']['inferencing_models']
    s3_support_inference_models = config["data_storage"]['models']['inferencing_models']
    subdir_files = {}
    road_model_path = ""
    for root,dirs,files in os.walk(base_dir):
        if not dirs:
            for file in files:
                #Store the type of the model and the path to model as key value pair
                root = root + "/"
                for items in s3_model_inference_models:
                    item_name = base_dir + "/" +  items
                    if item_name == root:
                        subdir_files[os.path.join(root, file).split('/')[1]] = os.path.join(root, file)
                    if items.startswith(CLASS_ROAD):
                        if item_name == root:
                            road_model_path = os.path.join(root, file)
                        break
    return subdir_files, road_model_path   update this code to set to road_model_path if its from s3_support_inference_models