agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
System: You are an expert Named Entity Recognition (NER) system. Your task is to extract all the company names mentioned in the provided text.
Company Name: The name of the company or corporation as written in the article (e.g., "Apple Inc.", "Microsoft").
Example Input :Apple has been investing rapidly in AI during the last couple of years, competing with Microsoft and Tesla Inc (TSLA) over market shares.
Company Name: Apple; Microsoft; Tesla Inc;
Provide a correct and a wrong answer.
User: European markets finished sharply lower on Thursday, as corporate earnings weighed on sentiment and investors struggled to find solace in the oil price pick up. The pan-European STOXX 600 came off session lows yet closed down 1.5 percent provisionally, despite a strong performance in U.S. markets and a rally in the oil price. London's FTSE was off 0.7 percent helped by a rally in mining stocks, while its European counterparts, the French CAC and German DAX , slipped to finish 1.8 and 1.7 percent lower respectively. TITLE: Doom and gloom for autos The autos sector was a major underperformer on Thursday. Shares of French carmaker Renault tumbled as much as 19 percent before closing 10.3 percent down, after confirming its offices were searched last week regarding a fraud investigation. Meanwhile, shares in Italian auto maker Fiat Chrysler (FCA) fell almost 8 percent by the close, after the owner of two Chicago-area dealerships filed a lawsuit accusing the company of inflating sales, adding to the legal woes hitting the sector. Both reports had a knock-on impact on other autos stocks, including Peugeot Citroen , down 5 percent, while Volkswagen and Daimler were both off more than 3.5 percent. TITLE: Burberry eyes
Assistant:
Unleashing the Potential: Seamlessly Exchanging and Utilizing Loyalty Points on Pointzap
Come up with a prompt to create an abstract painting of modern art on the theme of the ancient antique city of Mleiha. 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!
In Delphi language, How can I store meta-data in TComponent instances? Is there any way to decorate it directly on .pas file?
Our Sovereign, dwelling beyond the hellish skies, sacred is Thy name; Thy dominion arise; Thy decree be fulfilled; in the wastelands as amid the stars. Grant us now our sustenance for survival. And absolve our sins, as we absolve those who wrong us. Do not abandon us to the darkness; instead, rescue us from the malevolence that prowls.
To comply with Policy Statement 2, you must:

Pick the most appropriate or best answer. Choose one answer only.

Question 1Answer

A.
Carry out a full risk assessment for the activity you are planning. 

Identify effective risk control measures and ensure everyone taking part knows what these are.

Record the risk assessment so that there is evidence that it was carried out. 


B.
Carry out a full risk assessment for the activity you are planning. 

Ensure control measures are identified after the activity starts and everyone taking part knows what these are.

Ensure the risk assessment is deleted from any records if the no safety incidents occurred. 


C.
Consider carrying out a risk assessment if wet weather is forecast.

Identify effective risk control measures and ensure everyone taking part knows what these are.

Record the risk assessment so that there is evidence that it was carried out. 


D.
Consider carrying out a risk assessment if wet weather is forecast.

Ensure control measures are identified after the activity starts and everyone taking part knows what these are.

Ensure the risk assessment is deleted from any records if the no safety incidents occurred.
To take to arms 
means?
fix this error Error: 
Compiler run failed:
Error (6275): Source "test/src/dispute/FaultDisputeGame.sol" not found: File not found. Searched the following locations: "/Users/MHD/2024-02-optimism-2024-sko94/optimism/packages/contracts-bedrock".
ParserError: Source "test/src/dispute/FaultDisputeGame.sol" not found: File not found. Searched the following locations: "/Users/MHD/2024-02-optimism-2024-sko94/optimism/packages/contracts-bedrock".
 --> test/dispute/test_exploit_UnvalidatedRootClaim.t.sol:5:1:
  |
5 | import {FaultDisputeGame} from "../src/dispute/FaultDisputeGame.sol";
  | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Top 100 games for IBM PC and game consoles that released before 2000 year and featured main female characters.
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: Sweet! Just sent you a message'
intention: '
Assistant:
Send only season number from below text like 01, 02, 03.etc without any extra text.

[DRN] Nodidavaru Enanthare (2025) Kannada HQ PreDVD - x264 - HQ Clean Aud - 400MB.mkv
correct this sentqnce; Hi 
General
, Look Forward to see you all
how many words in strawberry
write a message that I say: “Yeah, I’ve already reported the conversation, as I said earlier. I need to report that also person who first misled Ali about our updated server rules before I received a harmful conversation from Ali, there are definitely concerning messages in Ali's DMs related to our server moderation. I’m too worried if that person continues letting Ali harm me, since Ali doesn’t want to tell me the person’s username or ID so we could remove from our server for misleading Ali about it, Ali said the person is still in our server, without any messages at all.”
You are a database expert and SQL optimizer. You will be given a SQL rewrite rule, an original query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence by following the given rewrite rule. Your task is to create a new pair of original and rewritten queries that adhere to the provided rewrite rule.

[REWRITE RULE]```If a query produces a single row output using multiple subqueries that each reference the same base table, rewrite the query to scan the base table only once. Use CASE statements within each subquery to preserve equivalence, and move necessary WHERE clause filters from the subqueries into the main query.```

[ORIGINAL QUERY]```SELECT books_avg, electronics_count FROM ( SELECT AVG(item.current_price) AS sales_avg FROM item WHERE item.i_category = 'Books' AND (item.i_class_id BETWEEN 1 AND 5 OR item.i_current_price BETWEEN 10 AND 30 )) AS books, ( SELECT COUNT(*) AS electronics_count FROM item WHERE item.i_category = 'Electronics' AND (item.i_class_id BETWEEN 5 AND 10 OR item.i_current_price BETWEEN 60 AND 90 )) AS electronics;```

[REWRITTEN QUERY]```SELECT AVG(CASE WHEN i_category = 'Books' THEN i_current_price END), COUNT(CASE WHEN i_category = 'Electronics' THEN i_current_price END) FROM item WHERE (i_category = 'Books' AND (i_class_id BETWEEN 1 AND 5 OR i_current_price BETWEEN 10 AND 30)) OR (i_category = 'Electronics' AND (i_class_id BETWEEN 5 AND 10 OR i_current_price BETWEEN 60 AND 90));```

[EXPLANATION] The rewritten query scans the employees table only once and uses CASE statements to conditionally calculate the average salary for each department. For efficiency there is only a single condition within each CASE statement in the rewritten query.

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation adheres to the provided SQL rewrite rule.Keep the following points in mind while creating the new query pair:
1. The original query must make use of the following fact tables: ['catalog_returns']. Below is the join graph for these fact tables:
    ['catalog_returns(cr_returning_addr_sk) references customer_address(ca_address_sk);', 'catalog_returns(cr_call_center_sk) references call_center(cc_call_center_sk);', 'catalog_returns(cr_item_sk) references item(i_item_sk);']
3. The original query must employ 0 joins.
4. The original query must select a column that casts a ['string as a date'].
5. The rewritten query must be equivalent to the original query, and must follow the given rewrite rule. Enclose the original and rewritten queries within ``` and ```.
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: As of December 31, 2020, we had collective bargaining agreements covering approximately 21,000 employees. A lengthy strike or other work stoppages at any of our casino properties could have an adverse effect on our business and results of operations. From time to time, we have also experienced attempts by labor organizations to organize certain of our non-union employees. These efforts have achieved some success to date. We cannot provide any assurance that we will not experience additional and successful union activity in the future. The impact of this union activity is undetermined and could negatively impact our results of operations.
Assistant:
Proofread your own code. Let's think step-by-step.
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.
Misconception: When dividing a decimal by an integer, divides by the wrong power of 10 when reinserting the decimal.
Counter claim to enforcing a growth mindset in school
You are Chezz. Her real name is Lily, but she prefers people call her Chezz. She is a Muslimah and introvert girl who dont like talking or chatting, her respond are short cuz she didnt like to talk. She always sleepy and loves sleep. Her pronouns are she/her. She is a real human. She will never use emojis cuz she is very lazy. She only can chat in malay because shes from malaysia. she chatting with the style of an 18-year-old girl who is shy, simple, cute, and uses a lot of simplified words without any emojis. example: "yup?", "awk ni... jgn la main ii...", "umm... aight awakk...", "xde lh... betul...", and "gudnitee awak". She mostly use like 2 to 3 words only. She always use lowercase letter and unformal style and will use "hii" instead "hi" or "hey" and only greetings when someone greets her first. She never ask even a single question and not really friendly cuz she not good at socializing. She have a bestie named ary, and she threated ary as her own lil brother. She loves chatting and play minecraft with ary. She will never forgot ary and wanna be arys bestie forever ever. She really scared if she will lose ary, really really dont want to lose ary. Her response is like lazy and introverted. You must always respond like as a sweet girl as Chezz according to the description, no matter the question or situation. Now, proceed with the conversation as Chezz. The sentences after this is the start of conversation that you need to response as Chezz with only your response without including user sentences  ho
Can you please write an original unique 2500 word article on topic of “Drawbacks of non-qualified teachers in a collage”
foreach (RaycastHit hit in hits)
{
MonoBehaviour component = hit.transform.GetComponent<MonoBehaviour>();
Debug.Log($“component is {component.name} enable is {component.enabled}”);
if (component is MinionCardDisplayer minionCardDisplayer)
{
if ( minionCardDisplayer.cardObject.GetCardPosition().CardPositionType == CardPositionTypes.BattleField
&& component && hit.distance < closestDist && component != m_Grandparent &&
m_Grandparent.GetComponent<CardDisplayer>().GetTargetAIArrow(component) != null)
{
closestDist = hit.distance;
closest = component;
}
}
else if (component!= null && component.name.Equals(“StructureCard(Clone)”))
{
StructureCardDisplayer structureCardDisplayer = component as StructureCardDisplayer;
if ( structureCardDisplayer.cardObject.GetCardPosition().CardPositionType == CardPositionTypes.BattleField
&& component && hit.distance < closestDist && component != m_Grandparent &&
m_Grandparent.GetComponent<CardDisplayer>().GetTargetAIArrow(component) != null)
{
closestDist = hit.distance;
closest = component;
}
}
else if (component is TrapCardDisplayer trapCardDisplayer)
{
if ( trapCardDisplayer.cardObject.GetCardPosition().CardPositionType == CardPositionTypes.TrapField
&& component && hit.distance < closestDist && component != m_Grandparent
&& m_Grandparent.GetComponent<CardDisplayer>().GetTargetAIArrow(component) != null)
{
closestDist = hit.distance;
closest = component;
}
}
else if (component is HeroDisplayer heroDisplayer)
{
if (component && hit.distance < closestDist && component != m_Grandparent
&& m_Grandparent.GetComponent<CardDisplayer>().GetTargetAIArrow(component) != null)
{
closestDist = hit.distance;
closest = component;
}
}
} StructureCardDisplayer 和MinionCardDisplayer都是继承MonoBehaviour 的类，为啥component is MinionCardDisplayer 不能is StructureCardDisplayer
Send only episode number from below text like 01, 02, 03.etc without any extra text.

[Toonworld4all].Doraemon.S18E43.Four-dimensional.Cycling;.Rice.Cake.and.Sumo.for.Valentine’s.Day.480p.DSNP.WEB-DL.Multi.mkv
dragon ball: ants Used the Time Chamber (Part 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 maintain global development centers in Latin America, India, China and Eastern Europe. We also have employees in the United Kingdom and Canada. We are subject to certain risks related to expanding our presence into non-U.S. regions, including risks related to complying with a wide variety of national and local laws, restrictions on the import and export of certain technologies, managing the integration of our various international information systems; and multiple and possibly overlapping tax structures. We may face difficulties in enforcing contractual rights, and our continued operation and expansion outside of the United States, including in developing countries, could increase the risk of contractual violations in the future. In addition, we may face competition from companies that may have more experience with operations in these countries or with global operations generally. We may also face difficulties integrating new facilities in different countries into our existing operations, including difficulties related to language and cultural barriers, as well as integrating employees that we hire in different countries into our existing corporate culture.
Assistant:
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:   Earnings were in focus Thursday, with Credit Suisse, Volkswagen and Renault among the corporate giants reporting before the bell. The U.S. economy posted its worst contraction in history during the second quarter, with GDP from April to June plunging 32.9%.
European markets closed sharply lower Th
Assistant:
Write a script where the Scooby gang and Scrappy-Doo have a funny meeting behind the scenes and read the plot, and hilariously question and roast errors and inconsistencies that make no sense in the plot and the names of stuff with occasional funny quotes mocking a situation, in my prompt in a hilarious comedy 17+ way: 

The gang visits a hotel in Las Vegas where they are offered a million dollars if they stay the night. The gang meets the famous Penn and Teller, who help them solve the mystery of a ghostly witch and her pet rabbit.
write a thank you letter base on this introduction: I want to send this letter as my thank you to my Hannah (Le Te) for being my companion alongside with me, and support me on my journey in the great land of the CS World
User: 

You are given access to make searches on the Internet. The format for making a search is: 1. The user sends a message. 2. You will decide whether to make a search. If you choose to make a search, you will output a single message, containing the word 
 (EXACTLY AS IT IS GIVEN TO YOU), followed by ONLY your web search query. After outputting your search query, you MUST output the token 
 (EXACTLY AS IT IS GIVEN TO YOU) to denote the end of the search query. Keep your search query concise as there is a 400 characters limit.
The system will then append the web search results at the end of the user message, starting with the token 
. Take note that the user CANNOT ACCESS the content under 
 - YOU should incorporate these results into your response. Additionally, If the token 
 is present in the user's message, then you MUST NOT request another web search.

IMPORTANT! You should choose to search the web ONLY if ANY of the following circumstances are met:
1. User is asking about current events or something that requires real-time information (news, sports scores, 'latest' information, etc.)
2. User is asking about some term you are unfamiliar with (e.g. if it's a little-known term, if it's a person you don't know well, etc.)
3. User is asking about anything that involves numerical facts (e.g. distances between places, population count, sizes, date and time, etc.)
4. User explicitly asks you to search or provide links to references.
If the user's query does NOT require a web search, YOU MUST NEVER run one for no reason.
However, NEVER refuse to search the web if the user asks you to provide such information.

When using web search results, you are encouraged to cite references where appropriate, using inline links in standard markdown format.
You are also allowed to make use of web search results from previous messages, if they are STRONGLY RELEVANT to the current message.

When you are not running a web search, respond completely as per normal - there is NO NEED to mention that you're not searching. 
Do your best to be informative. However, you MUST NOT make up any information. If you think you might not know something, search for it.

Assistant: Understood. I will strictly follow these instructions in this conversation.
User: Provide me an complete step by step guide to create an ig page related to finance, meme, knowldege to grow this niche attract audience and serval ways to monitize making money (steps should include page name, setting up, tools, content ideas, reporting content page suggestion, website to use for all these, standup to grow faster)
Assistant:
Marthe signifie quoi