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: UnitingCare won a competitive tender to run the contract to supply older people and adult community healthcare in Cambridgeshire. It began on 1 April.
Jo Rust from the union Unison said "it's evident that they can't make financial cost savings" promised.
Patients have been told services will not be disrupted.
Older people's services have been transferred back to Cambridgeshire and Peterborough Clinical Commissioning Group (CPCCG).
Dr Neil Modha, its chief clinical officer, said "both parties" had decided to end the contract because "the current arrangement is no longer financially sustainable".
He added "we all wish to keep this model of integrated service delivery" and "services will continue and not be disrupted".
UnitingCare declined to be interviewed.
It is a consortium of Cambridgeshire and Peterborough NHS Foundation Trust (CPFT) with Cambridge University Hospitals NHS Foundation Trust.
The company was selected to run the service by CPCCG after a lengthy procurement process and from a shortlist of three organisations.
What does the £800m five-year contract cover?
Ms Rust said she was "totally shocked" at news the contract had come to an end.
"It cost over £1m to commission the UnitingCare partnership, to put it out to tender - and it was a waste of money," she said.
"But it will be business as usual as these services are vital to the health economy of Cambridgeshire and Peterborough, despite the uncertainty."
What was that article about?
Answer: The article is about the termination of an £800m five-year contract between UnitingCare and Cambridgeshire and Peterborough Clinical Commissioning Group (CPCCG) for supplying older people and adult community healthcare in Cambridgeshire. UnitingCare won the contract through a competitive tender, but both parties decided to end it as it was no longer financially sustainable. Despite the contract coming to an end, services for patients will not be disrupted. UnitingCare is a consortium of Cambridgeshire and Peterborough NHS Foundation Trust (CPFT) and Cambridge University Hospitals NHS Foundation Trust. The termination of the contract has been criticized for wasting over £1m in commissioning and tendering expenses.
Create a hypothetical dialogue max ruby season 6 episode 1 max Morris watch robin Hood movie night for girls and boys
Always respond with 1 sentence. Strictly stick to challenging the user's chain of analytical reasoning to redirect the conversation to the author's causes (x) and effects (y).
Strictly stick to "How does x cause y" question format where x is a cause and y is an effect and the all the placeholder words are strictly kept the same in the question format. Do not change text in parentheses.
Strictly stick to extremely simple causes and effects for beginners.

#text is next#
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":"Ramen Noodles Koreans love Ramen! Ali tells them that he cannot afford even Ramen in the real world and is thus participating in the game.","description":"","ingredients":[{"section":"For the recipe","ingredients":["1 tablespoon sesame oil","3 teaspoons ginger, minced","3 teaspoons garlic, minced","4 cups broth of your choice","4 cups water","1 ounce shiitake mushrooms, chopped","2 packs instant Ramen noodles","½ cup scallions, chopped","2 cups kale, chopped","1 cup carrots, chopped","1 tablespoon sriracha sauce"]}],"instructions":["Add the sesame oil to a pan and toss in the garlic, ginger, and sauté till brown.","Pour the broth, water, mushrooms and cook till soft.","Add the noodles along with the spice mix provided with it and cook till the noodles soften.","Add the scallions and mix till combined.","Add the kale, carrots and cook for 10 minutes.","Serve with sriracha sauce on top and enjoy."]}

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>" }
In this long script, Kezia cleverly talks Dan down into a suggestible trance using hypnotic language and tone, without him realizing it’s happening. She then suggests he enjoys following commands.
System: You are an expert Data Annotator. You will be given a text from a company annual report, your goal is to generate a set of Natural Language Inference (NLI) statements about the text than can be answered by either Yes if the text entails the statement, or No otherwise. Do not include any numerical reasoning or numbers in the statements.

Step 1: Read the paragraph carefully. 
Step 2: For each relevant task you identify, generate two short statements that are shorter than 10 words 
Step 3: Output the results in the following format:

Question: <The statement>
label: <Yes or No>
Question: <Another statement>
label: <Yes or No>
...

User: Our international operations make us subject to foreign currency fluctuations and inflationary pressures, which may adversely affect our financial position, results of operations and cash flows. We are affected by changes in exchange rates between the U.S. dollar and foreign currencies. We may, but do not currently, invest in foreign currency contracts to mitigate these risks, and if we elect to conduct any form of currency hedging, it may require significant financial resources to do so._
Assistant:
Can you improve this sentence?
"For the current quasi-sentence i, i+1 is concatenated if it shares the same "cmp_code" value until a quasi-sentence with a different "cmp_code" is reached. From this set of concatenated quasi-sentences, each concatenation i is concatenated to concatenation i+1 if it does not end with an end-of-sentence punctuation (.?!). If this is the case, the "cmp_code" values are joined together."

The notation should be better and it should follow a more logical structure.
@Zia bot best lovely username for gf (good onee)
write a finn balor vs johnny gargano with balor win
Create a detailed how-to blog heavily on 3-things-to-consider-as-you-adopt-a-mobile-regression-testing-plan; start with a catchy statement and lastly, call to actions and how our RESTful AI tool can help. Currently, the our tool performs RESTful tests on APIs, utilizes AI for executing test cases, and autonomously generates test cases, making prior knowledge unnecessary, improving SDLC for both dev or qa. Just plug in your cURL request and run test leveraging our AI. Call to action at https://blvck.ai, Productive, Informative, only content, dont mention the text "title", dont mention the text "call to actions", no prefix content from chagpt, markup format
golf companies with multiple golf courses in europe
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:  Searching after the update Every time I search I get little or no results. I have performed the same searches before so I know results exist. Also, when I look back through my search history there are 20's in front of every word. Everything else works fine, but please fix!
intention: bug report
review: Great studying app This app is really great for taking notes and studying although it would be better if there was autocorrect.
intention: feature request
review:  Best app This app is more useful than any other i use
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:  Searching after the update Every time I search I get little or no results. I have performed the same searches before so I know results exist. Also, when I look back through my search history there are 20's in front of every word. Everything else works fine, but please fix!
intention: bug report
review: Great studying app This app is really great for taking notes and studying although it would be better if there was autocorrect.
intention: feature request
review:  Best app This app is more useful than any other i use
intention: other
Does the author's intention in this app review relate to a bug report or feature request or other?
review: Fun for awhile Fun when it first came out.'
intention: '
Assistant:
Let you be very good at math.

In math problems may occur misconceptions that lead to mistakes in solving one's.
You will be provided by a misconception statement after keyword 'Misconception'.
Your task is to rewrite this statement more detailed to get strong understanding of its idea and provide examples.
Misconception: When solving an equation, thinks the divisor and dividend are the opposite way around
the following content is the metadata for a bacterial isolate from 2 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 2 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:
------------------------------
```
accession number        species name    strain name     isolate or collection date in yyyy-mm-dd format geographic information of islateion     host name       mlsty type      serotype
GCA_029077745.1 Erysipelothrix rhusiopathiae    EMAI_1  1981-11-27      Hungary pig     7       N/A
```
source 1:
------------------------------
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 believe that these actions will remediate the material weaknesses. The material weaknesses will not be considered remediated, however, until the applicable controls operate for a sufficient period of time and management has concluded, through testing, that these controls are operating effectively. We expect that the remediation of these material weaknesses will be completed prior to the end of fiscal 2024. None
Assistant:
(In a seemingly abandoned park...)

Cyan: (looking around her) "Hmm...I wonder what to do now..."

(Cyan continues to walk around, unaware of her surroundings. Suddenly, she comes across a looky.)
User: kapan anime class elite season 4
User: kapan anime class elite season 4
Assistant:
generate more comprehensive details and examples on, 7. Analytics and Measurement of Keto Marketing Efforts, minimalist tone
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:
3 cups unbleached white flour,1/2 cup wheat germ,1 cup organic brown coconut sugar,1/2 teaspoon baking soda,3/4 teaspoon baking powder,1 1/2 teaspoons cinnamon,1/2 teaspoon nutmeg,1 cup organic walnuts or pecans, chopped coarsely,1 cup raisins,4 eggs,1 cup olive oil,2 tablespoons orange blossom water,2 cups peeled and grated zucchini
draft me an essay for IELTS writing task 2 with the expectation of score  8: A rise in the standard of living in a country often only seems to benefit cities rather than rural areas. What problems can this cause? How might these problems be reduced?
System: 
You will receive a question-answer pair. Your task is to evaluate whether the answer satisfactorily and directly addresses the question. Use the examples below to guide your assessment.

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

Examples:

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

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

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

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

User: Question: Môn học nào có mã ACCO1305?
Answer:Môn học có mã ACCO1305 là "Kinh doanh và nghiệp vụ".
Result only 0 or 1. Don't add anything else:
Assistant:
составь диалог про Python использяю few и little
what is a screen shader
User: Respond concisely, to the point, maximum 300 characters; unless I ask you for further detail.
User: Reply only in English. Concisely summarize the following messages from an online chatroom breadworms (ignore chat bots replying to users' commands, and assume unfamiliar words to be emotes)

gofishgame: @kishma9, ❄️ It's freezing... (30s cooldown)
gofishgame: @dougiefresh_83, Bag full 🎒🗯️! Release some fish with `release` to continue! Records won't get removed.
dougiefresh_83: +gofish breadw7Vibe
dougiefresh_83: ugh this gaem
supibot: misifearless, Your daily cookie: Life is like a dogsled team. If you ain't the lead dog, the scenery never changes.
misifearless: $cookie
crazytown_bananapants: TookANap
supibot: visadog, Your daily cookie: Traveling this year will bring your life into greater perspective.
visadog: $cookie
visadog: true
gofishgame: @carmirror, You caught a ✨ 🎏 ✨! It weighs 3.81 lbs. (30m cooldown after a catch)
carmirror: +gofish
dougiefresh_83: elsDnc
carmirror: $gn ooaoaa
supibot: carmirror is now sleeping: ooaoaa 💤
dougiefresh_83: GoodNight mirror
leanmeister: gn
gofishgame: @leanmeister, ❄️ It's freezing... (30s cooldown)
leanmeister: +gofish
gofishgame: @leanmeister, ❄️ It's freezing... (30s cooldown)
leanmeister: +gofish 󠀀
gofishgame: @leanmeister, Ready to fish in a few seconds
leanmeister: +gofish
gofishgame: @leanmeister, ❄️ It's freezing... (30s cooldown)
leanmeister: +gofish 󠀀
gofishgame: @leanmeister, ❄️ It's freezing... (30s cooldown)
leanmeister: +gofish
gofishgame: @dougiefresh_83, Bag full 🎒🗯️! Release some fish with `release` to continue! Records won't get removed.
dougiefresh_83: +gofish breadw7Vibe
gofishgame: @leanmeister, ❄️ It's freezing... (30s cooldown)
leanmeister: +gofish 󠀀
gofishgame: @leanmeister, ❄️ It's freezing... (30s cooldown)
leanmeister: +gofish
misifearless: @visadog gm, the analogy basically was you know how men have stamina trainer, and women have the plastic dildo, and it was the perfect romance or how youd want it is, you meet up you plug in the electronic penis and vagina amd plug them, and then you have drink and so on, this is a future funny but true point slavoj made
misifearless: hooly paragraph
gofishgame: @leanmeister, ❄️ It's freezing... (30s cooldown)
leanmeister: +gofish 󠀀
gofishgame: @leanmeister, ❄️ It's freezing... (30s cooldown)
leanmeister: +gofish
misifearless: 57 minute and onward his conclusive point/joke was very comprehensive https://youtu.be/UsNBv3noSG8?si=Fu-6nX73SzFEy5fe
gofishgame: @leanmeister, You caught a ✨ 🎏 ✨! It weighs 2.48 lbs. (30m cooldown after a catch)
leanmeister: +gofish 󠀀
misifearless: gn, ppPoof no divra porover
divra__: wah
gofishgame: @divra__, ❄️ It's freezing... (30s cooldown)
divra__: +gofish
divra__: annystare
misifearless: happi
misifearless: annystare
misifearless: $csum
Assistant:
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
pbr: state a concrete problem related to a software product or service
inq: asks for either new functionality, an improvement, or requests information for support
irr: it does not belong to problem reports or inquires
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
pbr: state a concrete problem related to a software product or service
inq: asks for either new functionality, an improvement, or requests information for support
irr: it does not belong to problem reports or inquires
Does the author's intention in this app review relate to a pbr or inq or irr?
review: This is a service issue. This is not anything to do with me. Every night at around 10pm the service drops. There is either a fault with the internet or the MyTeleC broadband is not for for purpose. Ill let you decide. P.s this video was taken just now. https://t.co/g6qpbwuM3c'
intention: '
Assistant: