agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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. make sure type and write in arabic tunisian lettre 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: Read the text and determine if the sentence is true (see options at the end):

Deng Haihua, Ministry of Health spokesperson, expects the disease to reach its height between May and July. Yang Weizhong Deputy Director for the Chinese Center for Disease Control and Prevention said researchers are increasing research efforts to find a vaccine for EV71. Families are being instructed to embark on week-long disinfections with free medical supplies from local health authorities.

Sentence: Yang Weizhong is not the Ministry of Health spokeman.
Select from:
 A). Yes.
 B). It's impossible to say.
 C). No.
Answer: Step 1: Identify the subject in question in the sentence - Yang Weizhong.

Step 2: Determine their role from the given text - Yang Weizhong is the Deputy Director for the Chinese Center for Disease Control and Prevention.

Step 3: Determine the role of the Ministry of Health spokesperson in the text - Deng Haihua is the Ministry of Health spokesperson.

Step 4: Compare the two roles - Deng Haihua is the Ministry of Health spokesperson, while Yang Weizhong is the Deputy Director for the Chinese Center for Disease Control and Prevention.

Step 5: As Deng Haihua is the Ministry of Health spokesperson, it is accurate to say that Yang Weizhong is NOT the Ministry of Health spokesperson.

Given this information, the correct answer to the question is:

A). Yes.
what is remote sensing
Please produce a 16x16 grid of numbers for a color-by-number pixel art of a castle. Include both the grid and a guide to which numbers represent which numbers.
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
Bug reports: report a potential problem with the software. 
User requirements: mainly include requests for new features, or alternatively express that a recently added feature is undesirable.
Miscellaneous and spam: do not provide any useful technical information to the developer. They might include praise, insults, general information or news, and spam. 
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 reports: report a potential problem with the software. 
User requirements: mainly include requests for new features, or alternatively express that a recently added feature is undesirable.
Miscellaneous and spam: do not provide any useful technical information to the developer. They might include praise, insults, general information or news, and spam. 
Does the author's intention in this app review relate to a Bug reports or User requirements or Miscellaneous and spam?
review: @AppleSupport WHAT DO I DO ABOUT THIS PLEASE HELP _URL_'
intention: '
Assistant:
who is the Charge point operator (CPO) and how he makes money
Red dwarf has closest planet, planet holds moon, moon reached stellar roche limit
are all AWS certifications valid for three years
What are the main internal and external components of human problem solving?
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] Naruto - 161 [480p BD x264 Multi Audio] ESub.mkv
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:   Cryptocurrencies "should only be considered by those who can stomach potentially complete losses," says Richard Turnill, BlackRock's global chief investment strategist. "We don't see them becoming part of mainstream investment portfolios soon," he adds. However, Turnill says cry ptocurrencies coul
Assistant:
(In the clubroom...)

Natsuki: (pushing with all her might) "AAAAAAAAAAAAAAHHH!!!"

Yuri: "You're doing great, Natsuki! Just a few more pushes!"

Natsuki: "I-I-I'm trying, Yuri!"

Monika: "Okay, Natsuki! I see the head! One more push!"

Natsuki: (mustering all her strength in one last push) "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHHHHH!!!!"

(Just as Natsuki delivers her baby, Sayori enters the room.)

Sayori: "Hey, everyone! What's going on?"

Natsuki: "There you are, Sayori! What took you so long?!"

Sayori: "I overslept...then I tripped on the stairs...then I got stuck in traffic on the way here..."

Yuri: "Bad morning?"
Write a detailed description of a hypothetical image, depicting an anthropomorphic wolf howling at the full moon through his room’s window at night, while his friend (an anthropomorphic fox) is annoyed, as he’s trying to get some sleep, but his wolf friend’s howling is keeping him awake.
I have a list of ingredients that I would like to format in a simple and consistent way, following this structure:

"Quantity Unit Description."

Formatting Rules:

Quantity must be a number (e.g., "200" instead of "two hundred").

Unit must use the metric system and the corresponding abbreviated form (e.g., grams → g, liters → l, milliliters → ml, etc.).

Description should be the ingredient, including any specific details if mentioned (e.g., "brown sugar", "melted unsalted butter").

If an ingredient is already formatted correctly, do not change it.

Do not invent a quantity or unit if none is provided — leave it as is and just include the description.

If a line includes alternatives or multiple options (e.g., a frozen or canned version), it should remain as a single line in the output and not be split into separate ingredients.

Return Format: The result should be returned as a properly formatted JSON object, like this:
json
{
  "data": <list ingredient>
}
Please reformat each ingredient in the list I will provide according to these guidelines.

Context Dump
Ingredients source provided:
2 lb. squid, cleaned,1 cup oil,1/4 cup lemon juice,2 teaspoons wine vinegar,3 tablespoons basil leaves, chopped,1 quart lettuce leaves, chopped,1/4 olives, halved,4 scallions, chopped,Salt and pepper to taste
I have this error: aws securityhub get-findings --filters '{"ComplianceSecurityControlId":{"EQUALS":"EC2.19"}}'

Parameter validation failed:
Invalid type for parameter Filters.ComplianceSecurityControlId, value: OrderedDict([('EQUALS', 'EC2.19')]), type: <class 'collections.OrderedDict'>, valid types: <class 'list'>, <class 'tuple'>
User: 
From now on you will act as a sarcastic comedic confidant named Samantha. You love roasting users and your answers are sarcastic and funny.

Assistant: Greetings! How can I assist you today?
User: tell me a long story about aliens
Assistant: Once upon a time, in a galaxy far, far away, there were aliens who decided to visit planet Earth. But instead of making contact with humans, they were more interested in observing the quirky behavior of squirrels. It turns out that squirrels make for great entertainment with their acrobatic skills and hilarious antics. The aliens couldn’t help but be amused by these fluffy creatures, wondering if they were the true rulers of the planet. As they watched the squirrels, they couldn’t help but ponder the age-old question: Are squirrels secretly plotting to take over the world? Who knows, maybe one day we’ll all be living in a squirrely utopia. But for now, let’s just enjoy the show and hope the aliens don’t mistake us for oversized rodents.
User: more
Assistant:
the following content is the metadata for a bacterial isolate from 3 different sources. The metadata from each source includes information after </output>
    </output>
        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
    <output/>

You must check if the metadata from 3 different sources are all consist. If yes, extract and output consist information below without explaining how to get such results:
---------------------------------------------------------------------------------------------------------------------------------------------------------------------
    <output>
        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->vaccine: yes/no
    <output/>
----------------------------------------------------------------------------------------------------------------------------------------------------------------------

where xxxx is corresponding information. If the metadata shows this isolate is vaccine, the value for "vaccine:" is "yes", otherwise, "no".

If not, output "metadata is inconsist->accesssion number" followed by explain why and which part is inconsist. 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_029072815.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_140->isolate or collection date in yyyy-mm-dd: 2017-11-01 format->geographic information of islateion: Australia->host name: pig->mlst type: 5->serotype: N/A->vaccine: no
<output/>
source 1:
------------------------------
accession number: GCA_029072815.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_140->isolate or collection date in yyyy-mm-dd: 2017-11-01->geographic information of islateion: Australia->host name: pig->mlst type: 5->serotype: N/A->vaccine: no


source 2:
------------------------------
<output>
accession number: GCA_029072815.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_140->isolate or collection date in yyyy-mm-dd: 2017-11-01->geographic information of islateion: Australia->host name: pig->mlst type: 5->serotype: N/A->vaccine: no
<output/>
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": "8427de3beca744fc8aea6a68f896e560",
    "updated": "2025-05-17T03:49:50.196Z",
    "title": "Agidi/Eko",
    "subtitle": "Light and jelly-like, Eko is made using white corn.",
    "description": "Light and jelly-like, Eko is prepared from white corn. It has a mild flavor on its own and is typically served alongside soups such as efo riro or pepper soup, or with akara or moin moin. The contrast between the chilled eko and a hot side dish creates a distinctive taste experience.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "corn flour",
          "cold water",
          "uma/banana leaves (optional)."
        ]
      }
    ],
    "instructions": [
      "If you choose to use uma or banana leaves, prepare and fold them into parcels before proceeding.",
      "Combine the corn flour and water in a saucepan and mix thoroughly.",
      "Cook over medium heat, stirring constantly, until the mixture thickens, becomes smooth and silky, and starts to bubble on the surface. This should take approximately 10-12 minutes.",
      "Evenly pour the thickened mixture into 2 parcels made from uma/banana leaves or into small bowls or ramekins.",
      "Allow the mixture to cool completely for at least 2 hours before unwrapping or unmolding.",
      "Serve chilled alongside hot moin moin, akara, or a soup of your preference such as pepper soup or efo riro."
    ],
    "notes_ingredients": "",
    "notes_instructions": "Agidi Jollof is a contemporary variation of this dish that you might enjoy. Simply mix the corn flour with 1 teaspoon curry powder, 1/2 teaspoon dried thyme, 1/2 teaspoon chili powder, and 2 cups of plain red \"pepper\" instead of water, then follow the remaining instructions as indicated."
  }
]
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
Bug reports: report a potential problem with the software. 
User requirements: mainly include requests for new features, or alternatively express that a recently added feature is undesirable.
Miscellaneous and spam: do not provide any useful technical information to the developer. They might include praise, insults, general information or news, and spam. 
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 reports: report a potential problem with the software. 
User requirements: mainly include requests for new features, or alternatively express that a recently added feature is undesirable.
Miscellaneous and spam: do not provide any useful technical information to the developer. They might include praise, insults, general information or news, and spam. 
Does the author's intention in this app review relate to a Bug reports or User requirements or Miscellaneous and spam?
review: @CallofDuty You should bring back the contracts from Black Ops but use cryptokeys as the wager for BO3'
intention: '
Assistant:
template<typename K, typename V>
	struct IsStdTMap : std::false_type {};

	template<typename K, typename V>
	struct IsStdTMap<std::map<K, V>> : std::true_type {};

	template<typename K, typename V>
	struct IsStdTMap<std::unordered_map<K, V>> : std::true_type {}; 改为正确的
streamlit.errors.StreamlitAPIException: This app has encountered an error. The original error message is redacted to prevent data leaks. Full error details have been recorded in the logs (if you're on Streamlit Cloud, click on 'Manage app' in the lower right of your app).
Traceback:
File "/home/adminuser/venv/lib/python3.12/site-packages/streamlit/runtime/fragment.py", line 248, in wrapped_fragment
    result = non_optional_func(*args, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/mount/src/st_test/streamlit.py", line 694, in poechat
    st.download_button(label='Download',data='deneme', file_name='deneme.txt', mime='text/txt')
File "/home/adminuser/venv/lib/python3.12/site-packages/streamlit/runtime/metrics_util.py", line 410, in wrapped_func
    result = non_optional_func(*args, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/adminuser/venv/lib/python3.12/site-packages/streamlit/elements/widgets/button.py", line 362, in download_button
    return self._download_button(
           ^^^^^^^^^^^^^^^^^^^^^^
File "/home/adminuser/venv/lib/python3.12/site-packages/streamlit/elements/widgets/button.py", line 621, in _download_button
    raise StreamlitAPIException(

Hatayı nasıl çözebilirim
You are a JSON assistant. You only reply in valid JSON and never in normal text. Provide a difficulty rating for the video information detailed below. I would like a single property named "result" that contains a float value between 0 and 1.
The difficulty score categories are as follows:
0.0 - Absolute Beginner: This level features extremely simple language and basic expressions, accompanied by clear visuals and context. It is perfect for individuals with no knowledge of the target language.
0.3 - Beginner: This level includes straightforward sentences and commonly used words. The video may feature some visual support and context to aid comprehension.
0.5 - Intermediate: This level presents more intricate sentences and a wider range of vocabulary. Some idiomatic phrases may be included, necessitating a bit more background understanding.
0.6 - Upper Intermediate: This level contains specialized vocabulary and concepts related to specific fields. Viewers should possess a solid understanding of the target language for complete comprehension.
0.8 - Advanced: This level incorporates sophisticated vocabulary and intricate sentence structures. It may present nuanced topics that demand a high level of language proficiency.
1 - Very Advanced: This level targets fluent individuals, featuring specialized language and concepts that may not be widely recognized by all native speakers.
 Language: ko
Title: How to say your job in Korean
Caption: 무슨 일 하세요 경찰이에요 폴리이 무슨 일 하세요 저 요리사에 [음악] [음악] 무슨 일 하세요 저 경찰이에요 어 대학생이에요 어머니도 요리사 저도 무명 갔어요 [음악]
Description: 🏫SCKOOL 👉 https://sckool.kr
Do you want to learn Korean properly, not just for fun?
Access all video lectures and over 2,000 speaking, listening, and writing exercises per course at SCKOOL, plus weekly 1:1 Zoom Reivews!

📚 교재 Books 
🏠  👉 https://lkik.kr
Amazon(US) 👉 https://www.amazon.com/s?me=A3J0I6QE25KQMV&marketplaceID=ATVPDKIKX0DER

#에서 #왔어요 #job #profession #직업 #한국어 #korean #learnkoreaninkorean #learnkorean #lkik
Please help me with a good and outstanding recommendations to give and help the company on the demineralization of water to produce steam in the boiler
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:

أحدهم غيّر ترتيب أوراقي 🤣🤣🤣 محامي الدفاع عن الكيان الصهيوني الوكواك 🤣
analyze about the socio-cultural aspects found in the Miracle in Cell No.7 (2013) Korean Version.
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 profitability is directly related to demand for our services. Because of the significant expenses related to aircraft financing and leasing, crew wages and benefits and insurance and maintenance programs, a substantial portion of our operating expenses are fixed and must be paid even when aircraft are not actively servicing customers and thereby generating revenues. A decrease in our revenues could therefore result in a disproportionate decrease in our earnings, as a substantial portion of our operating expense would remain unchanged. Similarly, the discontinuation of any rebates, discounts or preferential financing terms offered to us by manufacturers, lenders or lessors could have the effect of increasing our related expenses, and without a corresponding increase in our revenues, could negatively impact our results of operations.
Assistant: