agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Breakthrough Moments: Focus on the turning points in Tia Carrere(actress)'s career, whether it was a groundbreaking project, recognition, or a particular piece of work that gained critical acclaim. Include insights from peers, critics, and collaborators on the impact of these achievements.

        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.}
         Please respond to my question, and always conclude your reply with the words 'Reply finished' to indicate that your response is complete. Ensure that the text is fully formed without any placeholders such as '[Conclusion]' or '[Placeholder]'. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.
Gravitational missile, it's faster than light
Implement a simple pull-based cache invalidation scheme by using CSIM in C. In the scheme, a node
generates a query and sends a request message to a server if the queried data item is not found in its local
cache. If the node generates a query that can be answered by its local cache, it sends a check message to
the server for validity. The server replies to the node with a requested data item or a confirm message. A
set of data items is updated in the server. This scheme ensures a strong consistency that guarantees to
access the most updated data items.
2. Refer to the following technical paper and its simulation models (e.g., server, client, caching, data query
and update, etc.):
• G. Cao, "A Scalable Low-Latency Cache Invalidation Strategy for Mobile Environments," ACM
Mobicom, pp. 200-209, 2000
For the sake of simplicity, use the following simulation parameters. Run your simulation several times by
changing the simulation parameters (e.g., T_query and T_update). You can make an assumption and define
your own parameter(s). Then draw result graphs in terms of (i) cache hit ratio and (ii) query delay by
changing mean query generation time and mean update arrival time, similar to Figs. 3 and 4 in the paper.
Note that remove a cold state before collecting any results.
Parameter Values
Number of clients 5
Database (DB) size 500 items
Data item size 1024 bytes
Bandwidth 10000 bits/s
Cache size 100 items
Cache replacement policy LRU
Mean query generate time (T_query) 5, 10, 25, 50, 100 seconds
Hot data items 1 to 50
Cold data items remainder of DB
Hot data access prob. 0.8
Mean update arrival time (T_update) 5, 10, 20, 100, 200 seconds
Hot data update prob. 0.33
Reword this:
Astronomaly has demonstrated its adaptability and effectiveness when applied to a variety of astronomical data types. Its proficiency was initially tested on images of various resolved galaxies sourced from the Galaxy Zoo citizen science project (Willett et al., 2013). By creating a subset of objects labelled as "odd" in the complete dataset, Astronomaly identified 924 anomalies, two-thirds of which were classified as galaxy mergers when cross-referenced with the Galaxy Zoo merger catalogue (Darg et al., 2010b,a). Impressively, Astronomaly discovered 60 percent of the merger candidates within the first 10 percent of returned anomalies, highlighting its capability to efficiently uncover previously unnoticed objects.

Webb et al. (2020) utilized Astronomaly on light curves from the Deeper Wider Faster programme (DWF; Andreoni and Cooke (2017)) in a quest to find sources exhibiting variability. Astronomaly was employed to visualize, using t-SNE (van der Maaten and Hinton, 2008), and detect anomalies in each individual cluster and unclustered groups obtained after applying a clustering algorithm, HDBSCAN (McInnes et al., 2017), to the light curves. Employing isolation forest (Liu et al., 2008) (section 3.3.3.1) for the anomaly detection stage, Astronomaly successfully identified the variable sources in the data. While most of these sources have been previously reported in the literature, a few remained unknown. Among the unknown sources, 7 were variable sources, one was identified as a classical stellar flare, and a short-duration stellar flare was discovered.

Lochner et al. (2023) applied Astronomaly to reprocessed image data from the MeerKAT Galaxy Cluster Legacy Survey (MGCLS; Knowles et al. (2022)) in search of radio galaxies with unusual structures. After implementing active learning, a new source, SAURON, was revealed in the top 1.2 percent of anomalies found in the data. SAURON (a Steep And Uneven Ring Of Nonthermal radiation) features a ring of emission with four regions with a flux higher than its surroundings and two structures found in the far east and west regions of the source. These structures are enclosed by an envelope of diffuse emission. A galaxy was observed at the centre of the source with a location coinciding with that of a known galaxy, WISEA J013158.40-140631 (Wright et al., 2010), providing a promising candidate for a host galaxy. Since SAURON’s appearance can be compared to that of Odd Radio Circles (Norris et al., 2021), the authors propose an origin from an explosion due to the merging of supermassive black holes, a termination shock caused by starburst activity, or possibly a radio galaxy seen at an end-on view. With no definitive origin stated, only follow-up observations can provide an explanation of its true nature. The discovery of SAURON underscores Astronomaly’s potential for making fascinating scientific discoveries. \\
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: The Company may be subject to proposals by stockholders urging us to take certain corporate action. If activist stockholder activities ensue, our business could be adversely impacted because: | · | responding to actions by activist stockholders can be costly and time-consuming: |
Assistant:
Will this wire a 50a hot tub? 6 Gauge 4 Conductor 6/4 AWG Black SOOW Portable Power Cable Wire (75 Feet)
Write a plot for an American-Luxembourgish animated kids show for ages 6-11, where the main character is called Susan
Let's write a blog post that will rank on Google. I want you to try to include {keywords}. You should use markdown formatting, including bold, UL/OL, and write with a degree of creativity, burstiness, and human-like. And taking into account Average Perplexity, and Burstiness scores. and Predictability. The article is “تحميل و تنزيل تطبيق Dawn Ai” Written in the language ( العربية). Do not speak in the default classical language, try to be colloquial, closer to the reader. Do not use numbers 1, 2, or 3, and so I do not use only points or punctuation. I use stop signs and do not use parentheses. I just want a different wording from writing chat gpt so that it is completely different in style. There are also minor spelling errors and human errors in regular notation. The keyword you want to target in the search results is (Dawn Ai)
Assistant: 
User: 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
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
Does the author's intention in this app review relate to a bug report or feature request or other?
review: spk to 5 ppl no solution yet'
intention: '
Assistant:
Assistant:
This project will have 3 phases:

In step one, you will design a solution to a given problem.
In step two, you will watch an assessment tutorial video (found in the next tab).
In step three, you will do a self-assessment of your solution.
PROBLEM:

Design a World Program with Compound Data. You can be as creative as you like, but keep it simple. Above all, follow the recipes! You must also stay within the scope of the first part of the course. Do not use language features we have not seen in the videos. 

If you need inspiration, you can choose to create a program that allows you to click on a spot on the screen to create a flower, which then grows over time. If you click again the first flower is replaced by a new one at the new position.

You should do all your design work in DrRacket. Following the step-by-step recipe in DrRacket will help you be sure that you have a quality solution.

For this quiz you will be asked to design a world program using the HtDW and other recipes. Your solution will be assessed according to the following rubric:

Is the program safe?
The program file should be set to beginning student language and there should be no require declarations other than (require 2htdp/image) and (require 2htdp/universe). If the program is in a language other than BSL, then it gets 0 points for the rest of the rubric. 
Is the program "commit ready"?
The file should be neat and tidy, no tests or code should be commented out other than stubs and templates and all scratch work should be removed. 
Are all HtDW elements complete and do they have high internal quality?
All HtDW elements should be present, well formed, and have high internal quality. The file must include Constants, Data Definitions and Functions. The Constants section must be complete, there must be a main function that is correct and operates on a compound type. The main function must have all necessary big-bang options, and for each option, the handler must be present in the file. 
Are all HtDD elements complete and do they have high internal quality?
Examine the Data Definition for the world state. All elements of HtDD must be present and have high internal quality. This includes a structure definition, type comment, interpretation, examples and the template.
Are all HtDF elements complete and do they have high internal quality?
Choose either the to-draw, on-key or on-mouse handler. All elements of HtDF must be present and have high internal quality. This includes the Signature, Purpose, Stub, Examples/Tests, Template and the Function Body.
Does the design satisfy the problem requirements?
The program must be a World Program, operate on Compound Data, and be within the scope of the course.
Annotate
Simplify the expression: (x - 7)^2 - 2(x - 7)(x + 7) + (x + 7)^2 when x = -15/29
User: insastalk
Assistant:  ItIt looks like you might be referring to "InstaStalk." Could you please clarify what you mean by "insastalk"? Are you asking about a specific app, tool, or service related to Instagram? Let me know so I can assist you better!
User: web info
Assistant:
give me a proxy link to access youtube that runs even with Zscaler enabled
create expert date of product with highlight color in google sheets how to do?
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
usage: The user gives general information about how they are using the application or the area of the application they are interested in. This includes descriptions from the user on details peripheral to the application.
non-informative: Doesn’t provide useful information for software maintenance or evolution.
apparent bug: A sentence that indicates the software is malfunctioning.
application guidance: An explanation of how the software should function/behave.
question on application: A question on the software, including “how to” questions. Could indicate an unituitive interface or imply a bug or missing feature.
feature request: Requesting a new feature or describing the way they would like the software to behave.
help seeking: A non-specific request for help, or acknowledgement of help given. Indicating the user is a help seeker. Not asking a direct question.
user setup: Describing the user’s software and/or hardware setup. Could include: Software version, OS, hardware, additional software.
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
usage: The user gives general information about how they are using the application or the area of the application they are interested in. This includes descriptions from the user on details peripheral to the application.
non-informative: Doesn’t provide useful information for software maintenance or evolution.
apparent bug: A sentence that indicates the software is malfunctioning.
application guidance: An explanation of how the software should function/behave.
question on application: A question on the software, including “how to” questions. Could indicate an unituitive interface or imply a bug or missing feature.
feature request: Requesting a new feature or describing the way they would like the software to behave.
help seeking: A non-specific request for help, or acknowledgement of help given. Indicating the user is a help seeker. Not asking a direct question.
user setup: Describing the user’s software and/or hardware setup. Could include: Software version, OS, hardware, additional software.
Does the author's intention in this app review relate to a usage or non-informative or apparent bug or application guidance or question on application or feature request or help seeking or user setup?
review: yes multiple times for each'
intention: '
Assistant:
Generate a thoroughly engineered python script that uses custom RVC models to generate TTS.
It resembles 😆 but intense. Color of face resembles 😡. It’s enthusiastically happy emotion version of enraged instead of angry version. It’s sense of blowing rainbowly and hyperactively, awesomeness.
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers fr (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 fr.
    - 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 : fr (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "f8f4686fb7f44bd28788c85603410c9b",
    "updated": "2025-05-07T20:50:37.868Z",
    "title": "Pineapple Cinnamon Whiskey Sour",
    "subtitle": "A mocktail inspired by the Brazilian dessert \"abacaxi com canela\"",
    "description": "This mocktail draws inspiration from the well-loved Brazilian dessert \"abacaxi com canela,\" which translates to \"pineapple with cinnamon.\" The recipe combines pineapple and cinnamon flavors with a whiskey alternative that carries notes of vanilla and caramel. The inclusion of egg white adds a smooth, velvety texture, providing a pleasant introduction to this drink with the first sip.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "whiskey alternative",
          "lemon juice",
          "pineapple juice",
          "demerara syrup",
          "ground cinnamon",
          "egg white",
          "pineapple frond and 1 dash ground cinnamon for garnish"
        ]
      }
    ],
    "instructions": [
      "Place a Nick and Nora glass in the freezer to chill while you prepare the mocktail.",
      "In a cocktail shaker, combine the whiskey alternative, lemon juice, pineapple juice, demerara syrup, and a dash of ground cinnamon.",
      "Measure 3/4 ounce of egg white using a jigger and add it to the shaker. (Measuring the egg white helps control foam, as including all the egg white can sometimes create too much.)",
      "Cover the shaker without ice and shake vigorously for 20 seconds (dry shake).",
      "Add ice to the shaker, cover, and shake again for 10 seconds (wet shake).",
      "Double-strain the mixture through a fine-mesh strainer into the chilled Nick and Nora glass.",
      "Garnish with a pineapple frond and a dash of ground cinnamon."
    ],
    "notes_ingredients": "",
    "notes_instructions": "Whiskey alternatives and demerara syrup complement each other well. The molasses notes in demerara syrup enhance the smoky vanilla flavors often found in nonalcoholic whiskeys."
  }
]
It's summary of an article. What it's about? This descriptive analysis details and explains often paradoxical contacts between Russian and 
Russia-related actors, on the one side, and post-Soviet Ukrainian far-right parties such as Svoboda
(Freedom), the National Corps, the Right Sector, and Bratstvo (Brotherhood), as well as of some 
other ultra-nationalist groups in Ukraine, on the other. The investigation also covers Ukrainian far 
right connections to Moscow-related Ukrainian oligarchs, the Yanukovych regime of 2010-2014, 
and other Kremlin-r
ultra-nationalist parties and then details contacts of Ukrainian right-wing extremists with various 
Russian ultra-nationalist groups, pro-Russian actors in Ukraine, as well as with Kremlin-related 
actors in Russia. It finally briefly examines the cooperation of Ukraine's far-right with non-
Russian mostly European Union actors who have voiced pro-Putinist views or collaborated with 
Russia. The study uses primary and secondary sources in the Ukrainian, Russian, English, and 
German languages. These sources include press reports, party documents, interviews, previous 
analyses, and investigations by agencies such as Bellingcat. The introduction and conclusions 
provide some historical contextualization and political interpretation of this paradoxical aspect in 
the evolution of the Ukrainian far right.
Create in Python code that will count every other number from 1 to 100, then select every 5th number.