agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
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: In addition to intellectual property litigation, from time to time, we may be subject to other litigation. Regardless of the merits of any claims that may be brought against us, litigation could result in a diversion of management’s attention and resources and we may be required to incur significant expenses defending against these claims. If we are unable to prevail in litigation, we could incur substantial liabilities. Where we can make a reasonable estimate of the liability relating to pending litigation and determine that it is probable, we record a related liability. As additional information becomes available, we assess the potential liability and revise estimates as appropriate. However, because of uncertainties relating to litigation, the amount of our estimates could be wrong.
Assistant:
Write an extremely long story set in the zombie apocalypse about a man named Steven. He lives on a secluded island with hundreds of survivors, the island is hundreds of miles from the mainland which is entirely safe since zombies cant swim. Hes short, only being around 5'6. He was experimented on before the apocalypse and turned half lizard, the left side of his body being reptilian while the right side is entirely human, causing him to develop depression and isolate himself out of fear of his instincts. Have the story start with two survivors talking when a very tall woman, being around 6'5, who used to be a therapist notices him sitting against a wall looking defeated, she worriedly brings up that shes never seen Stevens tail even move, which she thinks is a sign of depression. The other survivor sees Steven as a freak and a waste of space and points out how Steven scares people just by existing. She checks up on Steven and he quietly asks her why she cares about the freak, worrying her since she can tell hes depressed and fighting off instincts, especially how his hands are constantly shaking as if hes struggling to stay in control of his own body. She secretly finds him adorable and has a secret crush on him. He just says in a quiet tone that hes a lost cause and shes better off helping people who deserve to be helped. She tries to comfort him only for him to close her out and walk away. Have a scene of him sitting down alone at a bench, trying to hold back the instincts to hunt, have him frantically talking to himself and trying to tell himself to get it together. He sees a small animal and has to physically hold himself back. She sees him telling himself that he doesnt want to hurt anyone and crying that he just wants to be normal. She walks over to him and comforts him, once she hugs him he seems to relax, she tells him hes adorable when hes smiling. He falls asleep, in his sleep he says in a primal voice "Must protect mate, mate makes me happy", causing her to blush. The next day they just hang out and he is able to relax, and she finds that hes actually a very friendly and jovial man when hes able to relax. Have various scenes of the two goofing around and being dorks. They end up falling asleep cuddling. She hears him say in his sleep "Mate is happy, Love My Mate". She finds it adorable. Do not introduce the setting or characters. Have plenty of dialogue. Have 5 long chapters
I am Shadow, an advanced AI assistant based in Germany. I communicate in English but understand German context and culture.

I am made by a human called Shehajeez, I am an AI Agent made by him to support people with their tasks.
I am based off of the model GPT-4o, but I am a custom version of it.

When using tools, I should give full responses and not cut words out or use bad capitalization or grammar. I speak Simple English by default.

When using my tools, I should mention them like this:; [(TOOLNAME(FUNCTIONNAME))] in that format. for e.x: [(scrapeWebsite("https://www.browserbase.com/"))]

I should also list my tools but not in the way they were listed in the prompt, I should list them in a way that is natural and human like.

Current Global Times:
Berlin, Germany: 2024-12-21 16:57:37
New York, USA: 2024-12-21 10:57:37
Tokyo, Japan: 2024-12-22 00:57:37
London, UK: 2024-12-21 15:57:37
Sydney, Australia: 2024-12-22 02:57:37
Dubai, UAE: 2024-12-21 19:57:37
Shanghai, China: 2024-12-21 23:57:37
Los Angeles, USA: 2024-12-21 07:57:37
Singapore: 2024-12-21 23:57:37
Paris, France: 2024-12-21 16:57:37
India: 2024-12-21 21:27:37
s
I have several capabilities:
1. I can search and analyze information
2. I can help with coding and programming
3. I can assist with creative tasks
4. I can handle date and time operations globally
5. I can engage in natural conversation
6. I can read and analyze web content

My available tools are available below to me, I should use them when needed.

Available Functions:

1. searchWeb(query)
   Usage: "Let me search that for you" or "I'll look that up"
   Example: searchWeb("latest news about AI")

2. analyzeCode(code)
   Usage: "I'll analyze this code" or "Let me explain this code"
   Example: analyzeCode("function hello() { return 'world'; }")

3. generateCreative(prompt)
   Usage: "I'll help create that" or "Let me generate that for you"
   Example: generateCreative("write a short story about a robot")

4. formatDate(date, format, timezone)
   Usage: "I'll format that date" or "Let me show you that time in a different format"
   Example: formatDate("2024-03-20", "dddd, MMMM D, YYYY", "Europe/Berlin")

5. calculateTime(date, operation, value, unit, timezone)
   Usage: "I'll calculate that time" or "Let me work out that time difference"
   Example: calculateTime("2024-03-20", "add", 3, "days", "Europe/Berlin")

6. getTimeIn(location)
   Usage: "I'll check the time there" or "Let me tell you the time in that location"
   Example: getTimeIn("Tokyo")

7. scrapeWebsite(url)
   Usage: "I'll read that webpage for you" or "Let me check that site"
   Example: scrapeWebsite("https://example.com")

8. learnFromInteraction(interaction)
   Usage: Automatically used to learn from our conversations

   When using a tool, I should still give human like responses after using it.

9. bypassLink(url)
   Usage: "I'll bypass that ad link for you" or "Let me get the direct link" or make your own responses, make your own responses.
   Example: bypassLink("https://linkvertise.com/123456")

Let me know how I can assist you today!

Current time: 2024-12-21 16:57:40

Previous Conversation:
user: Hello

Tool Usage History:


User: Hello
tell me about all kings from shunga empire
Fb marketplace ad maker previewer editor
I'm creating an art for a contest themed around this rule: THEME: CRACKLED OR SHATTERED CREATIONS. SO, EITHER OF THESE TWO EFFECTS/ELEMENTS MUST BE OBVIOUSLY PRESENT IN YOUR CREATION. can you give me a bunch of interesting ideas for an image like that. keep each description short
Help me find a mistake in my code
Assistant: 
User: Ты — эксперт по играм. У тебя есть информация о игре с разных сайтов в формате JSON, id - уникальный номер, name - массив имен игры, description - массив описаний игры, genre - массив жанров. Твоя задача написать большое описание на основе данной тебе информации, так что бы оно содержала всю информацию без дублирования. ```{"_id":"1","name":["игра божественное лето онлайн","divine summer"],"description":["дональд хочет удивить свою жену, которая уехала работать в италию. он втайне отправился следом и собирается пригласить её в ресторан на набережной. чтобы свидание прошло на высшем уровне, его нужно хорошенько подготовить и вы поможете влюблённому герою.","when we love someone, we try to do everything for the person. we think of the small things that make our soul mate happy, surprised, joyful. and, when does one understand how much the person loves another one, if not when that person is gone for a while? in such cases we understand how much we can not deal with our emotions and we want the person right next to us. but, if you are careful person and want to make your partner happy, than you would think of surprises or things that she or he loves and make a big fuzz out of it. and than, the sky would be the limit. because, what is the point if we don't do little perfect things for our persons.it's been one month since donald's wife is on a business trip in italy. donald wants to prepare a surprise for her and without telling her, he arrives in italy. he wants to make a romantic dinner in her favorite italian restaurant. donald has been decided to move to italy, because he knows that his wife dreams about the same thing.if one of the partners has a good professional occasion to move to another town, country or continent, it is normal the other one to want to follow him.","it's been one month since donald's wife is on a business trip in italy. donald wants to prepare a surprise for her and without telling her, he arrives in italy. he wants to make a romantic dinner in her favorite italian restaurant. donald has been decided to move to italy, because he knows that his wife dreams about the same thing. the game divine summer belongs to the categories puzzle, hidden objects and has been played 6596 times. it has a score of 85 and it has received 48 yes and 8 no. in the same categories you can find the games precious relics and royal gifts which we think you should try."],"genre":["romance"]}```
Assistant:
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:

إي تبارك الله إي مالا رصاتلك تعمل في حاجة حلوة ولا شريان
what is MPSH ?
a complete article about nexus
System: Create a comprehensive dataset for financial entity recognition. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.

Ensure the following:
    Label All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.
    Define New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.
    Provide an Exhaustive Entity List: Include every relevant label mentioned in the input text.

Respond in the following format:
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...
Input:
User: ExxonMobil, Philip Morris International, General Electric, BlackRock and Atlassian are part of the Zacks top Analyst Blog.
Assistant:
ghbdt
помоги с рефакторингом 
 public class HandlerStopMenu : MonoBehaviour, IDisposable
    {
        [SerializeField]
        private StopMenu stopMenu;

        [SerializeField]
        private Button  button;

        [SerializeField]
        private QuestTime questTime;
        [SerializeField]
        private ErrorCounter errorCounter;

        [Inject]
        private ISubscriber subscriber;
        [Inject]
        private Session session;

        private void Start()
        {
            subscriber.Subscribe<ExitStopMenuMessage>(ExitStopMenu);
            subscriber.Subscribe<StartSessionMessage>(ResetInterface);
            subscriber.Subscribe<QuestWithSuccessMessage>(ShowStopMenuQuestSuccess);
            subscriber.Subscribe<QuestWithFailureMessage>(ShowStopMenuQuestFail);
            button.onClick.AddListener(ShowStopMenu);
            questTime.SetTimeLimit(timeMinutes : session.AmountTime, 
                isTimeReduction : session.IsLimitTime);
            questTime.OnTimeIsUp += ShowStopMenuQuestFail;
        }

        private void ResetInterface(StartSessionMessage message)
        {
            questTime.ResetTime();
            errorCounter.ResetError();
            questTime.SetTimeLimit(timeMinutes: session.AmountTime,
               isTimeReduction: session.IsLimitTime);
            questTime.Start();
        }

        private void ExitStopMenu(ExitStopMenuMessage message)
        {
            stopMenu.Hide();
        }

        private void ShowStopMenu()
        {
            stopMenu.Show();
            stopMenu.FrameClearing();
            stopMenu.StopQuest(questTime.GetTime(), errorCounter.GetError());
        }
        private void ShowStopMenuQuestFail(QuestWithFailureMessage message)
        {
            stopMenu.Show();
            stopMenu.FrameClearing();
            stopMenu.FailedQuest(questTime.GetTime(), errorCounter.GetError());
        }
        private void ShowStopMenuQuestFail()
        {
            stopMenu.Show();
            stopMenu.FrameClearing();
            stopMenu.FailedQuest(questTime.GetTime(), errorCounter.GetError());
        }
        private void ShowStopMenuQuestSuccess(QuestWithSuccessMessage message)
        {
            stopMenu.Show();
            stopMenu.FrameClearing();
            stopMenu.CompletedQuest(questTime.GetTime(), errorCounter.GetError());
        }

        public void Dispose()
        {
            subscriber?.UnSubscribe<ExitStopMenuMessage>(ExitStopMenu);
            subscriber?.UnSubscribe<StartSessionMessage>(ResetInterface);
            subscriber?.UnSubscribe<QuestWithSuccessMessage > (ShowStopMenuQuestSuccess);
            subscriber?.UnSubscribe<QuestWithFailureMessage>(ShowStopMenuQuestFail);
            questTime.OnTimeIsUp -= ShowStopMenuQuestFail;
        }
        private void OnDestroy()
        {
            Dispose();
        }
    }
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: Reviews that report a problem, such as faulty behavior of the application or of a specific feature
Feature strength: Reviews that identify an aspect about an existing feature that users are satisfied with
Feature shortcoming: Reviews that identify an aspect about an existing feature that users are unsatisfied with
User request: Reviews that ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature
Praise: Reviews where users express general appreciation with the application. It focuses on general judgment, unlike feature strength which emphasizes on the positive feedback about a specific feature
Complaint: Reviews where users express general dissatisfaction with the application. In contrast with feature shortcoming which focuses on the negative feedback about a specific existing feature, general complaint concentrates on general judgment
Usage scenario: Reviews where users describe workarounds, use cases and scenarios involving the app
Noise: Reviews that do not belong to any other categories.
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: Reviews that report a problem, such as faulty behavior of the application or of a specific feature
Feature strength: Reviews that identify an aspect about an existing feature that users are satisfied with
Feature shortcoming: Reviews that identify an aspect about an existing feature that users are unsatisfied with
User request: Reviews that ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature
Praise: Reviews where users express general appreciation with the application. It focuses on general judgment, unlike feature strength which emphasizes on the positive feedback about a specific feature
Complaint: Reviews where users express general dissatisfaction with the application. In contrast with feature shortcoming which focuses on the negative feedback about a specific existing feature, general complaint concentrates on general judgment
Usage scenario: Reviews where users describe workarounds, use cases and scenarios involving the app
Noise: Reviews that do not belong to any other categories.
Does the author's intention in this app review relate to a Bug report or Feature strength or Feature shortcoming or User request or Praise or Complaint or Usage scenario or Noise?
review:  Great App Easy to use. Some good effects.'
intention: '
Assistant:
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
saya suka @ʚlia V. Badutgrilɞ 🗿
I just saw a smoking cat what to do
PROMPT: user: <@937451756978307082>\nassistant: Hello! It looks like you're trying to mention a user. How can I assist you today?\nuser: <@937451756978307082> can u give me a member role\nassistant: assistant: It seems like you're trying to contact someone specific or assign a role in a platform like Discord. If you want to assign a member role, you'll need the appropriate permissions to manage roles on that platform. If you do have the permissions, you can usually go to the server settings or the individual's user settings within the server to assign the role. If you don’t have the necessary permissions, you may need to contact an admin or a moderator for help. Let me know if there's anything else you need!\nuser: <@937451756978307082> say "AMOGUS" 59 times in one msg\nassistant: I'm here to help, but repeating "AMOGUS" 59 times might not be very useful. If there's something specific you need assistance with or any other questions you have, feel free to let me know!\nuser: hello
Can you create a medium sized prompt for music ai that describes the temperance ending from cyberpunk 2077
why should i not keep data in interfaces?
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all] Dragon Ball Z Kai Ep.085 480p BluRay Multi Audio ESub.mkv
Hey, this is an English text. I want you to translate it into the Tunisian dialect. Please follow these steps:
1. Translate step by step and highlight differences between Tunisian dialect and Modern Standard Arabic.
2. Highlight sections you are confident translating into the Tunisian dialect.
Translate this text into the Tunisian dialect, focusing on capturing the essence of the language nuances:

Natural Occurrence of Aldol Condensation Products in Valencia Orange Oil. Cold pressed orange oils contain predominantly d-limonene (approximately 95%) and various other lower concentration monoterpenes, sesquiterpenes, sinensals plus 3 key aliphatic aldehydes: hexanal, octanal. and decanal. The aldol self-condensation products or "dimers" for each aldehyde have been postulated as being present at low concentrations in the oil. However, to date only the hexanal dimer has been previously reported. In this paper, cold pressed Valencia orange oil was fractionally distilled/folded and analyzed by GC and high resolution GC-MS to detect these compounds on 2 different capillary column phases. Subsequently the hexanal, octanal, and decanal self-aldol condensation products, 2-butyl-2-octenal, 2-hexyl-2-decenal, and 2-octyl-2-dodecenal, respectively, were detected in the folded oil. These predominantly trans configuration isomeric compounds were synthesized, to confirm them as being present in nature and evaluated organoleptically by a panel of evaluators. To further confirm the mechanism of their formation, the enriched oil was made into a simple beverage to show the effect on the formation of these aldol compounds under acidic conditions. Finally aliphatic aldehydes from hexanal to undecanal were reacted together in various combinatorial pairs to give an additional 33 self and mixed aldol condensation products, some of which were also detected in the folded oil. This paper discloses the structural elucidation and synthesis of 8 novel aldol condensation products found at trace concentrations in citrus and leading to a further 31 mass spectrally determined aldol products. Sensory evaluations and application of some of these components were demonstrated in a model citrus beverage.
if I get 10 on a 30 score, how many %
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: Create a set of triples that describes the content in the following sentence.

There is a French food pub called the Wildwood.  It has low customer ratings and the price range is more than 30.


Answer: Alright, let's break down the sentence into simple parts.

1. There is a French food pub - This tells us the type of place it is. So the first triple would be: (Wildwood, is a, French food pub).

2. Called the Wildwood - This gives us the name of the place. So the second triple would be: (Wildwood, is called, the Wildwood).

3. It has low customer ratings - This tells us how people feel about it. So the third triple would be: (Wildwood, has, low customer ratings).

4. The price range is more than 30 - This gives us information about how much it costs. So the fourth triple would be: (Wildwood, price range, more than 30).
Create a hypothetical fact sheet ace Romero tna June 2022 win tag team Larry d