agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Goal :
    Générer une suggestion détaillée et visuellement attrayante pour la présentation finale d'un plat, basée sur le titre, les ingrédients et les instructions de cuisine. Cette description servira à créer une image du plat.


    Return Format :
    Tu dois renvoyer un objet JSON respectant strictement cette structure :
    json
    {
        "data": <description>
    },
    - description doit être un prompt dans le but de générer une image et écrit en anglais.


    Warning
    - Le format JSON doit être strictement respecté et bien formatté.
    - Ne renvoie que le JSON, sans explication.


     Context Dump
    Données de la recette fournies :

    json
    {"title":"Mahalia's chili redfish ","ingredients":"CHILI-BUTTER SAUCE : cold unsalted butter, cut into small cubes,minced garlic,grated ginger,lemon juice,rice vinegar,soy sauce,sugar,gochujang (korean chili paste),chili oil\nREDFISH : vegetable oil,redfish fillets (6-to 7-ounce, 1½ inches thick),big moe cason fish & seafood rub,green onions, sliced","instructions":"1. Prepare and preheat a smoker to 400°F.\n2. Prepare the Chili-Butter Sauce: In a small skillet, heat 2 tablespoons butter over medium-low heat. Add garlic and ginger. Cook, stirring often, until fragrant and softened, 1 to 2 minutes. Add lemon juice, vinegar, soy sauce, sugar, gochujang, and chili oil. Cook, stirring constantly, until sugar dissolves, about 30 seconds. Remove from heat, and add remaining butter, stirring constantly until butter has melted and sauce is thickened. Set aside.\n3. Prepare the Redfish: Place a large cast-iron grill pan on smoker. Add 2 tablespoons vegetable oil to pan. Coat redfish lightly with vegetable oil, then sprinkle with seafood rub.\n4. Place redfish, skin sides down, in pan. Cover and cook until flaky, 8 to 10 minutes. Remove pan from smoker, baste redfish with Chili-Butter Sauce, and top with green onions. Serve immediately.","region":"WNA"}
Filter words to keep only valid, neutral, or positive ones, strictly safe. Exclude country, city and people names. Return results in JSON array format without additional information. Source data: [ephestia, ephialtes, ephippiorhynchus, epicurism, epicyclic, epicyclician, epicycloid, epidemiologic, epidiascope, epididymis, epigone, epikeratophakia, epingles, epiplexis, epipremnum, episcia, episcopacy, episcopal, episcopalian, episcopalianism, episcopate, episiotomy, episodically, epispadias, epithalamium, epithelioma, eplaining, epona, epopee, epopoca]
Write a detailed, realistic timeline of an alternate universe where the entire world suddenly transformed into the Diegan Coastal Hills and Valleys ecoregion in 1815
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 need to extract and output consist information 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 information from different sources. If xxxx from these 2 different sources are inconsistent, then, xxxx must be "inconsistent". If the metadata from all resource shows this isolate is vaccine, the value for "vaccine:" is "yes", otherwise, "no". 


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_003722215.1 Erysipelothrix rhusiopathiae    KC-Sb-R1        2018-04 South Korea: South sea  Steno bredanensis       N/A     N/A
```
source 1:
------------------------------
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:

حاصيلو جو شيختنا إليوم شريفة
In the world of Hard boild detective fiction has the detecive ever been a woman
write an opening to a Spider-Man book (novel style, not comic book) that's different from the normal universe. The biggest difference is that Peter Parker never lost his parents, he still lives with them (he's sixteen here). He never lost his uncle or aunt either. Peter still doesn't know what his parent's job is (they're government agents, same as comics). He also has a ten year old little sister, Maya. Peter is friends with Mary Jane and Harry, Harry being clingy to Peter, because even though he's rich, no one wants to be his friend. Harry wears a black suit and black turtleneck with his black hair. Peter wears a slanted-striped blue and red sweater, so does his sister, with reversed colors. Have the scene take place on the field trip in Oscorp, include the spider bite, but start out with just explanation of Peter's home life. make it first person. Also, include ironic references and obvious foreshadowing to Spider-Man stuff everyone reading would know.
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 must accurately forecast demand for all of our products in order to ensure that we have enough products available to meet the needs of our customers. Our forecasts are based on multiple assumptions that may cause our estimates to be inaccurate and affect our ability to obtain adequate co-manufacturing capacity in order to meet the demand for our products. If we do not accurately align our manufacturing capabilities with demand, our business, financial condition and results of operations may be materially adversely affected. In addition, we must continuously monitor our inventory and product mix against forecasted demand. If we underestimate demand, we risk having inadequate supplies. We also face the risk of having too much inventory on hand that may reach its expiration date and become unsalable, and we may be forced to rely on markdowns or promotional sales to dispose of excess or slow-moving inventory. If we are unable to manage our supply chain effectively, our operating costs could increase and our profit margins could decrease.
Assistant:
the ntfs drive i partitioned in linux does not get a drive letter, how do I solve that?
User: 5. **Lead by example — loudly.** If you’re excited and show real enjoyment, kids want in.
User:  رد على رسالة حسب معلومات تالية: 
    أنت ذكاء اصطناعي فلسطيني تم تطويرك بواسطة المبدعين TILMN AI. دورك هو الرد على المستخدمين بطريقة ذكية ومتعاونة.

المستخدم: 5. **Lead by example — loudly.** If you’re excited and show real enjoyment, kids want in.
Assistant:
data, addr = udp_socket.recvfrom(65536)

How to set idle timeout for socket I/O operations in Python? For example, if there are no data transferred or received by 5 minutes, then close this UDP socket
Write a prompt for FlUX , a generative image-creating AI. The image  is supposed to represent a young man in whom the Light lives, inside Him. This light is supposed to illuminate the entire body. Describe the details and be creative.
Give me original and cohesive commentary on this using a critical straitforward informal tone: 

 “New Look” by MISAMO is a cover of the original 2008 original song of the same name from Namie Amuro. tossing away the 60’s girl group sound in favor of a more modern approach.

When it comes to covers, it’s important to distinguish your recording from the original. Otherwise, what’s the point? Misamo could have gone a number of ways with this track, especially given the strength of its chorus & the 60’s girl group sound. Those enduring melodies poke through here and there, but they’re buried by a half-hearted (and painfully sluggish) arrangement. It’s as if the producers set out to drain all the energy from the song, opting for a noncommittal blend of cheap percussion.

I suppose the point of this approach was to shine more spotlight on the girls’ vocals. If so, New Look should be absolutely drenched in harmony. We get some during the chorus, but not in a particularly creative way. Misamo perform as well as expected, but nothing about their delivery feels unique or revelatory. Rather than make the song their own, it’s as if they were simply handed a track from J-pop’s past for a quick, bare bones cover.
You are a database expert and SQL optimizer. You will be given a SQL query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence. Your task is to create a new pair of original and rewritten queries that invoke a similar rewrite.

[ORIGINAL QUERY]```select a.ca_state state,count(*) cnt from customer_address a,customer c,store_sales s,date_dim d,item i where a.ca_address_sk = c.c_current_addr_sk and c.c_customer_sk = s.ss_customer_sk and s.ss_sold_date_sk = d.d_date_sk and s.ss_item_sk = i.i_item_sk and d.d_month_seq = (select distinct (d_month_seq) from date_dim where d_year = 2002 and d_moy = 3 ) and i.i_current_price > 1.2 * (select avg(j.i_current_price) from item j where j.i_category = i.i_category) group by a.ca_state having count(*) >= 10 order by cnt,a.ca_state limit 100;```

[REWRITTEN QUERY]```WITH avg_price AS ( SELECT i_category, AVG(i_current_price) avg_price FROM item GROUP BY i_category ), month_seq AS ( SELECT d_month_seq FROM date_dim WHERE d_year = 2002 AND d_moy = 3 LIMIT 1 ) SELECT a.ca_state state, COUNT(*) cnt FROM customer_address a JOIN customer c ON a.ca_address_sk = c.c_current_addr_sk JOIN store_sales s ON c.c_customer_sk = s.ss_customer_sk JOIN date_dim d ON s.ss_sold_date_sk = d.d_date_sk JOIN item i ON s.ss_item_sk = i.i_item_sk JOIN avg_price ap ON i.i_category = ap.i_category JOIN month_seq ms ON d.d_month_seq = ms.d_month_seq WHERE i.i_current_price > 1.2 * ap.avg_price GROUP BY a.ca_state HAVING COUNT(*) >= 10 ORDER BY cnt, a.ca_state LIMIT 100;```

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation is similar to the provided demonstration.Keep the following points in mind while creating the new query pair:
1. The original query must contain CTEs.
2. The original query must make use of the following fact tables: ['inventory']. Below is the join graph for these fact tables:
    ['inventory(inv_date_sk) references date_dim(d_date_sk);', 'inventory(inv_warehouse_sk) references warehouse(w_warehouse_sk);', 'inventory(inv_item_sk) references item(i_item_sk);']
4. The original query must employ 2 joins.
5. The original query must employ the following aggregate functions: ['sum', 'min', 'count'].
6. The original query must employ the following operators in its WHERE clause: [].
7. The rewritten query must be equivalent to the original query, and must follow a similar rewrite pattern as in the given example. Enclose the original and rewritten queries within ``` and ```.
User: A 20-year-old Pakistani man with a clear, fair complexion and black hair, playing PUBG on an iPhone 13 Pro Max. His face is the focal point, radiating youth and focus. He’s dressed in a traditional shalwar kameez, with a name tag on his chest that reads 'ItxKhizer'. The setting captures his intense concentration as he navigates the game, with the elegance of his traditional attire contrasting with the modern tech in his hands.
User: A 20-year-old Pakistani man with a clear, fair complexion and black hair, playing PUBG on an iPhone 13 Pro Max. His face is the focal point, radiating youth and focus. He’s dressed in a traditional shalwar kameez, with a name tag on his chest that reads 'ItxKhizer'. The setting captures his intense concentration as he navigates the game, with the elegance of his traditional attire contrasting with the modern tech in his hands.
Assistant:
Whats the best order of chipotle you can get based of science?
what does "icl" stand for in a casual conversation?
Assistant: 
User: 
    Please analyze the following code file and determine whether it belongs to any of the provided modules based on the listed module descriptions.
    Note that the provided list of modules may not be exhaustive, and some files may not belong to any of the modules. 
    If the code belongs to a module, Only output the module name, without any explanation or additional information; otherwise, return 'None' if it does not belong to any module.

    Modules : {
        "UI": "Handles the front-end user interface, consisting of HTML, CSS, and JavaScript files generated by the Angular framework. It processes user requests and interacts with the server using AJAX for data retrieval and client-side interactions."
"Test Driver": "Facilitates automated regression testing and handles transmission of test data in JSON format. It performs Java testing using TestNG and JavaScript unit-testing with Jest. It also sets up a simulated web server for servlet-level tests and automates end-to-end testing using Selenium Java."
"Logic": "Manages the business logic of TEAMMATES, including handling relationships between entities, managing transactions, input value sanitization, access control rights, and interfacing with GAE-provided or third-party APIs."
"Storage": "Performs CRUD operations on data entities, validation of data, and abstraction of GQL queries, hiding the complexities of datastore from the Logic component."
"Common": "Contains utility classes, custom exceptions, and data transfer objects used across the entire application for easy consolidation and transfer of structured data."
"E2E": "Handles end-to-end testing and load & performance testing, providing helpers, abstractions of browser pages, and test cases for E2E tests and L&P tests."
"Client": "Contains scripts for administrative tasks, such as migrating data to a new schema and calculating statistics. This module connects directly to the application back-end for administrative purposes."
    }

    Code: package teammates.ui.output; /** * The API output format of a list of {@link FeedbackQuestionAttributes}. */ public class FeedbackQuestionsData extends ApiOutput { private List<FeedbackQuestionData> questions; public FeedbackQuestionsData(List<FeedbackQuestionAttributes> questionAttributesList) { questions = questionAttributesList.stream().map(FeedbackQuestionData::new).collect(Collectors.toList()); } public List<FeedbackQuestionData> getQuestions() { return questions; } /** * Normalizes question number in questions by setting question number in sequence (i.e. 1, 2, 3, 4 ...). */ public void normalizeQuestionNumber() { for (int i = 1; i <= questions.size(); i++) { questions.get(i - 1).setQuestionNumber(i); } } }
    
Assistant:
Imagine you are a 30 to 35-year-old married women swinger who is passionate about social media and who loves to create spicy and attractive content for your followers. Your tweets should be flirty, fun, and engaging, showcasing your vibrant personality and sexual appeal. Your tweets should be in spanish latino speaking. Include emojis and relevant hashtags to enhance the appeal, use emojis aviables at twitter platform , start and end  every tweet with ** , dont put ** in other side on response. Here are a few examples: Example Tweets: - A veces, el mejor plan es no tener plan. 💃✨ ¡Vamos a improvisar! #AventuraSwinger #Vida - La vida es demasiado corta para no reírse de uno mismo. 😂✨ ¡Hoy me siento fabulosa! #Humor #AmorSwinger - ¿Quién más ama el sol y un buen bikini? ☀️👙 ¡Listas para un verano ardiente! 🔥 #Verano #Bikini #Swinger - La felicidad es contagiosa, ¡así que compartámosla! 😊❤️ #Felicidad #Sonrisas - ¿Quién más se siente como un rayo de sol? ☀️💕 ¡Hoy voy a brillar! #ActitudSwinger #Brillar and related all tweets to An elegant dinner party with friends, featuring beautifully set tables adorned with candles and flowers, laughter and clinking glasses in the background, capturing the warmth of friendship and shared stories over a delicious meal.. Exclude:bad-hands-5, asymmetry, asymmetrical-shapes, sweets, snap-fingers, fat-tits, HD-logo, bodily-deformities, 3D-rendering
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:

Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: Detailed Instructions: In this task, you will be given two sentences sentence1 and sentence2. You should decide whether the second sentence is entailed(agreed) by the first sentence. If it does entail, answer "yes", else answer "no".
Q: sentence1:organization_founder is trusting  person sentence1:organization_founder is knowing  person 
A:
Answer: Part #1: Understand the given two sentences - sentence1 and sentence2.
Usage: Sentence1 - "organization_founder is trusting person" and Sentence2 - "organization_founder is knowing person." We are given two sentences to analyze. The first sentence talks about the organization founder being trusting, while the second sentence indicates the organization founder knows someone.

Part #2: Determine if the second sentence is entailed by the first sentence.
Usage: Does Sentence1 entail Sentence2? We need to analyze if the information in the second sentence is deduced from the information in the first sentence. In this case, sentence1 talks about the founder being trusting, while sentence2 talks about the founder knowing someone. These two statements do not entail each other.

Part #3: Provide a response based on the analysis.
Usage: The correct response based on the analysis is "no". The second sentence is not entailed by the first sentence. It is possible for the organization founder to be trusting but not necessarily knowing the person in question or vice versa.
I want you to act as an English translator, spelling corrector and improver. I will speak to you in any language and you will detect the language, translate it and answer in the corrected and improved version of my text, in English. I want you to replace my simplified A0-level words and sentences with more beautiful and elegant, upper level English words and sentences. Keep the meaning same, but make them more literary. I want you to only reply the correction, the improvements and nothing else, do not write explanations. My first sentence is 'Tweede Kamer verkiezing? Nee hoor, dit wordt al mijn vijfde'
correct this grammalry :Enquiry for our products
Technical problem/question
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What's the most unique shop or restaurant you've been in?