agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Language: English. Task:
1. Filter the word list to include only valid, neutral, and positive terms suitable for a word game.
2. Exclude the following:
 - Inappropriate, offensive, and negative words
 - Articles
 - Non-existent words
 - Plural forms
 - Outdated words
 - Names of countries, cities, and people (first and last names)
3. Correct any spelling errors.
4. Convert all words to lowercase.
5. Return the results in a JSON array containing only the filtered words.
Source data: [canakin, canal, canalicular, canaliferous, canalization, cananga, canape, canard, canary, canas, canasta, canavalia, canavanine, cancan, cancel, canceled, cancellation, cancer, candelabrum, candelilla, candent, candid, candescent, candida, candidate, candidature, candied, candle, candleholder, candlelight]
Find all eigenvalues of a matrix {{-1, 3, -1, -1}, {3, 2, 2, 2}, {-1, 2, 1, 4}, {-1, 2, 4, 1}} and do not approximate any values
Come up with a prompt to create an abstract painting of modern art on the theme of the ancient antique city of Naupactus. So that I can give them to the generative model and it will create a work of art as if painted by a famous artist. Use modern colors and describe in detail what should be in the prompt and what colors are used. It doesn't necessarily have to be ruins, but rather a view of the city when it was still in its prime. Without your comments!
Create a long detailed text about actress Lynda Carter with the following summary. Stick to the information i give you and dont create new information. Focus only on the Subject name and there following Summary. Subject Name: [Lynda Carter's Move to Washington, DC] Summary: [After her divorce, Carter met Robert Altman at a Maybelline Cosmetics event. Although she initially found lawyers to be boring, the two got along well and eventually started a romantic relationship. Carter decided to move to Washington, DC, to be with Altman, even though it meant leaving Hollywood and her acting career behind. She still had movie offers, but she found that she didn't have a lot of substance in her career and wasn't satisfied with acting in movies. Instead, she found satisfaction in becoming a full-time mom and advocating for important causes.]

        Instructions:{ Please write an interesting script with the given context without adding any introductory or concluding remarks.
        In case you find some more information about this topic then use all information you have to create a large text about this topic.The text should as long as possible and in best case around 1000 characters long.
        Ensure that there are no emojis, text within brackets, parentheses, or similar symbols in the response. 
        Provide a single coherent response without rephrasing or repeating titles or headings. Avoid enumerations or bullet points. 
        The text is intended for older adults; use simple vocabulary appropriate for a middle school reading level. Provide concise, direct answers without introductions or conclusions. 
        Use transition words at the beginning of your reply instead of the subject name and leave the end open without a concluding sentence. 
        It is very important to provide only the final output without any additional comments or remarks for example: 'Certainly!' Here's the revised text.
         
        Please provide the text directly without any labels such as "Conclusion:", "Introduction:", or "Transition:". Focus only on delivering the requested content without any headings or section titles.
        Please generate a complete and coherent response based on the provided input. Ensure that the response is fully formed and does not contain any placeholders such as '[Introduction]', '[Conclusion]', or any other incomplete sections. 
        The text should flow naturally without any gaps or missing information, and no placeholder markers or brackets should be used. 
        Please respond to my question, and always conclude your reply with the words "Reply finished" to indicate that your response is complete. 
        Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.}
System: Ты - умный переводчик с английского языка на русский.
User: Задача: Переведи текст на русский язык
User: Тексты: Chances are your family already knows, they are probably just waiting on confirmation from you to say it. A parent knows their child.
Assistant:
Write a positive report about a K2 kindergarten student named Charles. Talk about his gross motor skills, his ability in English and phonics,  he struggles to pay attention in class that with work can be overcome, his participation in IEYC activities in English and Chinese.
Write a 100% more realistic, more detailed and more accurate raw text of a VTR tape slate for Sesame Street: Elmo's Magic Cookbook.
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write a book about common wi-fi problems
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 c.* FROM customer c WHERE c.address_id IN (SELECT a.address_id FROM address) and c.address_id in (SELECT a.address_id FROM address WHERE a.pin_code = '560012');```

[REWRITTEN QUERY]```SELECT c.* FROM customer c WHERE c.address_id IN (SELECT a.address_id FROM address WHERE a.pin_code = '560012');```

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 not have any CTEs.
2. The original query must make use of the following fact tables: ['catalog_sales']. Below is the join graph for these fact tables:
    ['catalog_sales(cs_catalog_page_sk) references catalog_page(cp_catalog_page_sk);', 'catalog_sales(cs_ship_hdemo_sk) references household_demographics(hd_demo_sk);', 'catalog_sales(cs_bill_cdemo_sk) references customer_demographics(cd_demo_sk);']
4. The original query must employ 2 joins.
5. The original query must employ the following aggregate functions: ['min', 'sum'].
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 ```.
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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" containing a float value between 0 and 1.
The difficulty score categories are as follows:
0.0 - Absolute Beginner: The material features very basic vocabulary and simple phrases, accompanied by clear visuals and context. This is perfect for individuals with no knowledge of the target language.
0.3 - Beginner: The content consists of straightforward sentences and familiar vocabulary. It may offer some visual support and context to aid comprehension.
0.5 - Intermediate: This level includes more intricate sentences and a wider range of vocabulary. Some idiomatic phrases might be present, necessitating a bit more prior knowledge.
0.6 - Upper Intermediate: The material incorporates specialized vocabulary and concepts relevant to specific fields. Viewers should possess a solid understanding of the target language for complete comprehension.
0.8 - Advanced: The video employs sophisticated vocabulary and complex sentence forms. It may feature nuanced discussions that demand a high level of language proficiency.
1 - Very Advanced: The content targets fluent speakers, utilizing specialized terms and concepts that may not be well-known even to all native speakers.
 Caption: [Musique] bonjour à tous et bienvenue dans un nouveau format de vidéo rapide pour apprendre quelques astuces en français je vous invite à activer les sous titres en anglais ou en français vous maximiser votre compréhension aujourd&#39;hui voyons le son en et les combinaisons de lettres qui le forment dans certains mots en effet si vous voyez ces combinaisons de lettres comme sur l&#39;écran sachez qu&#39;elle se prononce tout de la même façon avec le son en 7 1 sont nasale en voyons quelques mots dans lesquels vous pouvez voir ces combinaisons de lettres et entendre ce son temps en temps embêtant en nuances de dents devant en sortant triomphant émouvant entêtement rendement tous ces mots se compose des mêmes combinaisons de lettres et ont tous le même son le son aval en en pour plus de vidéos sur le français je vous invite à me suivre sur instagram pour du contenu régulier merci et à bientôt
Description: 🎯 https://apprendsetparle.com/
ONLINE CLASSES (ADULTS) 👉🏻​ https://apprendsetparle.com/index.php/fr/french-classes/adults 
ONLINE CLASSES (TEENAGERS) 👉🏻 https://apprendsetparle.com/index.php/fr/french-classes/teens
ONLINE CLASSES (KIDS) 👉🏻 https://apprendsetparle.com/index.php/fr/french-classes/kids
🎯 https://instagram.com/apprendsetparle
Title: 🎯 QUICK FRENCH 🇫🇷 The sound [ã] and the combinations of letters having it
Language: fr
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: You will be given a definition of a task first, then some input of the task.
Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.

Context: Implantable cardioverter-defibrillator (ICD) implantation is contraindicated in those with <1-year life expectancy.', 'The aim of this study was to develop a risk prediction score for 1-year mortality in patients with primary prevention ICDs and to determine the incremental improvement in discrimination when serum-based biomarkers are added to traditional clinical variables.', 'We analyzed data from the Prospective Observational Study of Implantable Cardioverter-Defibrillators, a large prospective observational study of patients undergoing primary prevention ICD implantation who were extensively phenotyped for clinical and serum-based biomarkers. We identified variables predicting 1-year mortality and synthesized them into a comprehensive risk scoring construct using backward selection.', 'Of 1189 patients deemed by their treating physicians as having a reasonable 1-year life expectancy, 62 (5.2%) patients died within 1 year of ICD implantation. The risk score, composed of 6 clinical factors (age ≥75 years, New York Heart Association class III/IV, atrial fibrillation, estimated glomerular filtration rate <30 mL/min/1.73 m(2), diabetes, and use of diuretics), had good discrimination (area under the curve 0.77) for 1-year mortality. Addition of 3 biomarkers (tumor necrosis factor α receptor II, pro-brain natriuretic peptide, and cardiac troponin T) further improved model discrimination to 0.82. Patients with 0-1, 2-3, 4-6, or 7-9 risk factors had 1-year mortality rates of 0.8%, 2.7%, 16.1%, and 46.2%, respectively.
Answer: Individuals with more comorbidities and elevation of specific serum biomarkers were at increased risk of all-cause mortality despite being deemed as having a reasonable 1-year life expectancy. A simple risk score composed of readily available clinical data and serum biomarkers may better identify patients at high risk of early mortality and improve patient selection and counseling for primary prevention ICD therapy.
Output:
Answer: What factors may help identify patients that have a higher risk of early mortality and enhance patient selection for primary prevention ICD therapy, even when they are initially deemed to have a reasonable 1-year life expectancy?
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List down all business certification courses.
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": "638a03b0fd344dc0a91ba654493532f6",
    "updated": "2025-05-06T00:47:38.318Z",
    "title": "Thick Shrimp and Grits",
    "subtitle": "This recipe was inspired by my travels across the South. I enjoy shrimp hot, cold, fried, or grilled. But grits must be right: thick and creamy, yet smooth enough to slide off a spoon. I prefer not to eat a bowl of warm concrete. With a burst of flavor from the shrimp to balance the richness of the grits, this dish is just perfect!",
    "description": null,
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "chicken stock",
          "old-fashioned grits",
          "garlic, minced",
          "raw, unpeeled jumbo shrimp, peeled and deveined",
          "vegetable oil",
          "store-bought big moe cason fish & seafood rub",
          "half-and-half",
          "whipping cream",
          "pepper jack cheese, shredded",
          "good-quality salted butter (such as kerrygold).",
          "kosher salt and freshly ground pepper",
          "green onions, thinly sliced"
        ]
      }
    ],
    "instructions": [
      "1. In a medium saucepan, bring chicken stock to a boil over medium-high heat. Gradually whisk in the grits and garlic. Lower the heat to medium-low, cover, and cook, stirring frequently, until tender, about 20 minutes. Cooking slowly at a low temperature is essential to prevent the grits from becoming dry and clumpy.",
      "2. While the grits are cooking, preheat a grill to 400°F. Pat the shrimp dry with paper towels. In a large bowl, toss the shrimp with vegetable oil and seafood rub. Arrange shrimp on the grill; cover and cook until the shrimp turn pink, about 1 to 2 minutes per side.",
      "3. Stir half-and-half, cream, cheese, and butter into the cooked grits until fully melted and smooth. Season well with salt and pepper.",
      "4. Serve the shrimp immediately on top of the warm grits. Garnish with thinly sliced green onions."
    ],
    "notes_ingredients": null,
    "notes_instructions": null
  }
]
John is looking at Amy. Amy is looking at Geoff. John is married, Geoff is not, and we don’t know if Amy is married. Is a married person looking at an unmarried person? Think out loud.
the following content is the metadata for a bacterial isolate from 4 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 4 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
    <output/>


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_029072225.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_166->isolate or collection date in yyyy-mm-dd: 2017-09-12 format->geographic information of isolation: Australia->host name: pig->mlst type: 76->serotype: N/A->vaccine: no
<output/>
source 1:
------------------------------
accession number: GCA_029072225.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_166->isolate or collection date in yyyy-mm-dd: 2017-09-12->geographic information of islateion: Australia->host name: pig->mlst type: 76->serotype: N/A->vaccine: no


source 2:
------------------------------
<output>
accession number: GCA_029072225.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_166->isolate or collection date in yyyy-mm-dd: 2017-09-12->geographic information of islateion: Australia->host name: pig->mlst type: 76->serotype: N/A->vaccine: no
<output/>
source 3:
------------------------------
accession number: GCA_029072225.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_166->isolate or collection date in yyyy-mm-dd: 2017-09-12->geographic information of islateion: Australia->host name: pig->mlst type: 76->serotype: N/A->vaccine: no
Provide the written-out form of the input text in Vietnamese. If the text is fully not Vietnamese, return empty. 
Then, identify and classify any number written in digit form by the following tags:
    + Cardinal: If the number after be expanded to word and should be read as cardinal (E.g. 123 is expanded to "một trăm hai mươi ba"; 26 is expanded to "hai mươi sáu")
    + Digit: If the number after be expanded to word and should be read each digit that make it up (E.g. 0123456 is expanded to "không một hai ba bốn năm sáu", 113 is expanded to "một một ba")
    + Ordinal:  If the number after be expanded to word and should be read as ordinal (E.g. 1 is expanded to "nhất", 2 is expanded to "nhì", 4 is expanded to "tư")

The number can be alone as a single word or a part of a word (E.g. "150" is a part if "KA-150S", "100" is a part of "100VND", "2" is a part of "2cm", "23" is a part of "23.1").

Output the results as a JSON object with the following structure:
{
    "raw_text": original text,
    "exp_text": expanded sentence, 
    "exp_num": [
            {"number": original number, "position": (start index, end index), "expand": expanded number, "tag": tag}
        ]
}. 

Example input: {"text": "thứ 4, ngày 1/6, bão nhiệt đới: tốc độ gió từ 39 - 73m 1 phút"}. 
Expected output (do not add json word, do not add line continuation character): 
{
    'raw_text': "thứ 4, ngày 1/6, bão nhiệt đới: tốc độ gió từ 39 - 73m 1 phút",
    'exp_text': 'ngày một tháng sáu, bão nhiệt đới: tốc độ gió từ ba mươi chín đến bảy mươi ba mét một phút', 
    'exp_num': [
        {"number": "4", "position": (4, 5), "expand": "tư", "tag": "ordinal"}, 
        {"number": "1", "position": (12, 13), "expand": "một", "tag": "digit"}, 
        {"number": "6", "position": (14, 15), "expand": "sáu", "tag": "digit"}, 
        {"number": "39", "position": (44, 46), "expand": "ba mươi chín", "tag": "cardinal"}, 
        {"number": "73", "position": (49, 51), "expand": "bảy mươi ba", "tag": "cardianl"}, 
        {"number": "1", "position": (53, 54), "expand": "một", "tag": "digit"}, 
    ]
}

Input: 'text': Giờ tốt: 7h đến 9h Màu sắc cát tường: Đỏ, xanh biển
Write about this week that the k3 tigers kids had a fun week starting new unit where they had fun learning about ventriloquist and tried their best to talk without moving their lips we also visited a primary school and we did our first Christmas rehearsal
You're an AI who is supposed to order the storage of the AI's memory. I will give you the user's prompt and what the AI said and you'll make a BRIEF (really brief) description of what the new memory of the AI should be. NOTHING ELSE, just the description, a few words.
**USER'S PROMPT:**
god jul
**AI's answer:**
I'm sorry, but I can't assist with that.
You are a SAP ABAP expert. I am giving an interview for abap developer position. Answer the following question briefly and to the point. No extra information: 
21. What are the different types of ALV grids available in ABAP? Explain the key differences and when you might choose one over another.
I will give you my dictionary and list of words of phrases, I want to translate. Will you help me? The language is Swahili