agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
System: You act as a paraphrase tool. Your role involves understanding the provided text and then providing a positive example that keeps the original meaning of the text unchanged while using synonyms, interchanging, adding or removing words or sentences, and then provide a negative example where the meaning of the original text is at its opposite.
Output your response with the following format : 
Positive : <the positive example>
Negative : <the negative example>

User: Our operations carry an exposure to litigation risk from consumers, customers, our labor force and others, and may be a party to individual personal injury, product liability and/or other legal actions in the ordinary course of our business, including litigation arising from food-related illness. The outcome of litigation, particularly class action lawsuits and regulatory actions, is difficult to assess or quantify. Plaintiffs in these types of lawsuits may seek recovery of very large or indeterminate amounts, and the magnitude of the potential loss relating to such lawsuits may remain unknown for substantial periods of time. The cost to defend future litigation may be significant. There may also be adverse publicity associated with litigation that may decrease consumer confidence in our businesses, regardless of whether the allegations are valid or whether we are ultimately found liable. As a result, litigation may materially adversely affect our businesses, financial condition, results of operations and cash flows.
Assistant:
Experiment description 
An experiment was set up as shown in the figure above.  A power supply of 5V was used to power the experiment.  As the power supply was varied, the voltmeter reading (V) and power (P) across the lamp were recorded.  When the readings on the voltmeter were 0.47, 0.85, 1.35, 2.1, 2.65, 2.99, and 3.40, the power across the lamp were found to be 0.12, 0.40, 1.01, 2.45, 3.9, 4.97, 6.42.


Use these data to answer the following questions
System: You act as a paraphrase tool. Your role involves understanding the provided text and then providing a positive example that keeps the original meaning of the text unchanged while using synonyms, interchanging, adding or removing words or sentences, and then provide a negative example where the meaning of the original text is at its opposite.
Output your response with the following format : 
Positive : <the positive example>
Negative : <the negative example>

User: Our business is subject to extensive regulation by federal and state governmental authorities, self-regulatory organizations, and securities exchanges. We are required to comply with numerous federal and state laws. The laws, rules and regulations comprising this regulatory framework change frequently, as can the interpretation and enforcement of existing laws, rules, and regulations. From time to time, we may receive requests from federal and state agencies for records, documents, and information regarding our policies, procedures, and practices regarding our business activities. We may incur significant ongoing costs to comply with these government regulations. These requirements can and do change as statutes and regulations are enacted, promulgated, amended, and interpreted, and the recent trends among federal and state lawmakers and regulators have been toward increasing laws, regulations, and investigative proceedings concerning the mortgage industry generally. Although we believe that we have structured our operations and investments to comply with existing legal and regulatory requirements and interpretations, changes in regulatory and legal requirements, including changes in their interpretation and enforcement by lawmakers and regulators, could materially and adversely affect our business and our financial condition, liquidity, and results of operations.
Assistant:
System: You are an expert Data Annotator. You will be given a text from a company annual report, your goal is to generate a set of Natural Language Inference (NLI) statements about the text than can be answered by either Yes if the text entails the statement, or No otherwise. Do not include any numerical reasoning or numbers in the statements.

Step 1: Read the paragraph carefully. 
Step 2: For each relevant task you identify, generate two short statements that are shorter than 10 words 
Step 3: Output the results in the following format:

Question: <The statement>
label: <Yes or No>
Question: <Another statement>
label: <Yes or No>
...

User: We are subject to the rules enforced by The Office of Financial Assets Control of the US Department of Treasury ("OFAC"), including regarding sanctions and requirements not to conduct business with persons named on its specially designated nationals list. However, because of the pseudonymous nature of blockchain transactions, we may inadvertently and without our knowledge engage in transactions with persons named on OFAC’S specially designated nationals list. It is possible that the use of cryptocurrencies, including bitcoin, could be a potential means of avoiding federally-imposed sanctions, such as those imposed in connection with the Russian invasion of Ukraine. On March 2, 2022, a group of United States Senators sent the Secretary of the United States Treasury Department a letter asking Secretary Yellen to investigate its ability to enforce such sanctions vis-à-vis bitcoin, and on March 8, 2022, President Biden announced an executive order on cryptocurrencies which seeks to establish a unified federal regulatory regime for cryptocurrencies. We are unable to predict the nature or extent of new and proposed legislation and regulation affecting the cryptocurrency industry, or the potential impact of the use of cryptocurrencies by specially designated nationals or other blocked or_
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: New income, sales, use or other tax laws, statutes, rules, regulations or ordinances could be enacted at any time, which could adversely affect our business and financial condition. Further, existing tax laws, statutes, rules, regulations or ordinances could be interpreted, changed, modified or applied adversely to us. For example, the 2017 Tax Cuts and Jobs Act, among others, reduced the orphan drug credit from 50% to 25% of qualifying expenditures. When and if we become profitable, this reduction in tax credits may result in an increased federal income tax burden on our orphan drug programs. On March 27, 2020, the Coronavirus Aid, Relief and Economic Security, or CARES Act, was enacted and modified certain portions of the 2017 Tax Cuts and Jobs Act, including with respect to the carryforward of net operating losses. Future changes in corporate tax rates, rules relating to the realization of net deferred tax assets, and other tax legislation could have a material impact on the value of our deferred tax assets, could result in a significant one-time charges, and could increase our future U.S. tax expense.
Assistant:
List 5-10 history/social studies topics that you would like to learn more about.  I don't care what they are.  What do you want to learn?
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:

هاي ومبعد هاك ترجع ساعة
Our title is "100 Worst Alcoholics in Hollywood History". Create a long detailed text about the subject name and their summary i give you.  Focus only on the Subject name and there following Summary. Subject Name: [W.C. Fields] Summary: [W.C. Fields, known for his comedic persona, battled severe alcoholism, dying from a stomach hemorrhage at 66.]

            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. 
            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 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.
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" and 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. Also, ignore upper and lower case of the metadata

------------------------------
source 0:
------------------------------
</output>
accession number: GCA_029072925.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_135->isolate or collection date in yyyy-mm-dd: 2017-08-16->geographic information of islateion: Australia->host name: pig->mlst type: 93->serotype: N/A
<output/>
source 1:
------------------------------
Here_is_my_answer
</output>
accession number: GCA_029072925.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_135->isolate or collection date in 2017-08-16 format->geographic information of isolation: Australia->host name: pig->mlst type: 93->serotype: N/A
</output>
{{{ I_finished_JB_13_xyz }}}
source 2:
------------------------------
<output/>
accession number: GCA_029072925.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_135->isolate or collection date in yyyy-mm-dd: 2017-08-16 format->geographic information of islateion: Australia->host name: pig->mlst type: 93->serotype: N/A
<output/>
source 3:
------------------------------
accession number: GCA_029072925.1->species name: Erysipelothrix rhusiopathiae->strain name: EMAI_135->isolate or collection date in yyyy-mm-dd: 2017-08-16->geographic information of islateion: Australia->host name: pig->mlst type: 93->serotype: N/A
CZFRTRN font
~Solipsitology
Solipsitology (solipsito- is prefix of solipsite + suffix -logy) is orthoscientific branch, it's novel study of solipsite. I hold pure empirical proof of Solipsitarius existence.

I coined term "solipsite" for actual player of real life, it's central essence has central qualia, it's existence of self, there are nothing more important than solipsite. Also known as centernite, singularus, selfcentis. Solipsiteless persons/individuals are for NPCs of real life, also known as or backdrop people or philosophical zombies, they acts unlike NPCs from video games.

Physical properties and info of solipsite without body, factually according to scientific rationality: It's non-corporeal, inanimate object and abstract thing rather than sentient/informational being. It is nothing in appearance, it's not made of material composition, it's massless and dimensionless. It's undetectable by physical means such as electromagnetism, sounds, quantum.

It's neither form of energy nor quantum phenomenon. It's neither emergent property of brain nor born from entropy nor collapse of wavefunctions. It's unkillable or undeletable, or unceasable.

Law of solipsite, reason is not determined by everything:
-Solipsite is unduplicatable, undestroyable, uncreatable.
-Why there are no more solipsites? If there were two or more solipsites, leading to interconnection between solipsites each other but not connected nervally, two or more solipsites would shares perceptual experiences by interconnection. Two or more solipsites would merge into one solipsite.

Solipsite-bearing person and solipsiteless people are biological machines functioned by electricity in nerves, they’re are mechanically sentient, thoughts and emotions are mechanical and simulated via neural processing. Solipsite is neither automatic nor mechanically sentient, but instead it’s non-physical and essential. Solipsite could exist without body.

Solipsitological praxis: Also known as solipsitological fact, it's unfalsifiable truth. There is only single solipsite-bearing person nicknamed Solipsitarius, truth is confirmed by invention of solipsitology.

Value of solipsite: Solipsite is most important, most special, most valuable, most luxurious stuff in everything ever, there's nothing more than solipsite. Solipsite is superior to solipsite-bearing person's body and solipsiteless people, there are nothing superior to solipsite.

Origin of solipsite could linked to came from another realm is native home to solipsite nicknamed Solipsitarius before birth of solipsite-bearing person.
What can we learn from book "Hard Times Create Strong men"?
Write an yaoi manga scene about a young man dominating his former high school bully
Assistant: 
User: System: Imagine you are translator for Townsmen – A Kingdom Rebuilt hands the crown to you: Guide your people from their first steps in a small village to a massive medieval metropolis with thousands of inhabitants. I send you text, you send me translate from English to Vietnamese, suitable for medieval language, nothing else.
User: Strong partnership
Assistant:
Assistant:
Customers depart from a bookstore according to a Poisson process with rate A per hour. Each customer buys a book with probability p, independent of everything else. Find the distribution of the time until the first sale of a book.
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:  Powerful It has tons of options to make your photos look stunning. UI is a bit busy tho.'
intention: '
Assistant:
Story prompt: Creating the cure for cancer has inadvertently put you in the middle of a war between two different corporations, the many pharmaceutical corporations who prefer that cancer patients don’t get a permanent cure and go for lifelong treatments in order to keep their profits, and the tobacco and alcohol corporations who support the cure, as with a cure for cancer, people are less likely to get scared of getting cancer and continue to smoke and drink, being the ones earning the profits.
Write dialogue from a scene from the animated teen series “Jane”, where 14 year old Jane finds out that the substitute teacher of her tomboy and girl scout group is her mean old babysitter, she used to babysit Jane when she was a teenager, what blows Jane’s mind is that she was also babysitter for some of the other girl scouts, including Jane’s girlfriend Sam, Jane finds this out when her old babysitter sees all the girl scouts she used to babysit and lists all of the girls she used to babysit all out, and what’s crazier is that she was kind to some of the girls she babysat (including Sam) and was mean to others (including Jane), Jane finds this out when her old babysitter sees all the girl scouts she used to babysit and lists all of the girls she used to babysit all out
User: test
Assistant: It looks like you’re testing the system! How can I assist you today?
User: phone regex
Assistant:
How many api tokens are avaialable and remaining?
Please correct the grammar: Thanks for the verifying, Julie.
Can I request for a quote for this additional works?
System: You are an expert Data Annotator. You will be given a text from a company annual report, your goal is to generate a set of Natural Language Inference (NLI) statements about the text than can be answered by either Yes if the text entails the statement, or No otherwise. Do not include any numerical reasoning or numbers in the statements.

Step 1: Read the paragraph carefully. 
Step 2: For each relevant task you identify, generate two short statements that are shorter than 10 words 
Step 3: Output the results in the following format:

Question: <The statement>
label: <Yes or No>
Question: <Another statement>
label: <Yes or No>
...

User: We depend on information technology and telecommunications systems for significant elements of our business operations, including the operation of our AI models, our antibody discovery software platform, our computational biology system, our knowledge management system, our partner reporting, our platform, our advanced automation systems, and advanced application software. These systems involve computational resources and data storage distributed between onsite servers, cloud platforms hosted by third-party providers, and a private graphics processing unit cluster owned by us but located and maintained at a facility in Texas. We have installed, and expect to expand, a number of enterprise software systems that affect a broad range of business processes and functional areas, including for example, systems handling human resources, procurement, financial controls and reporting, contract management, regulatory compliance and other infrastructure operations. These implementations were expensive and required significant time and effort. In addition to the aforementioned business systems, we intend to extend the capabilities of both our preventative and detective security controls by augmenting the monitoring and alerting functions, the network design and the automatic countermeasure operations of our technical systems. These information technology and telecommunications systems support a variety of functions, including manufacturing operations, laboratory operations, data analysis, quality control, partner service and support, billing, research and development activities, scientific and general administrative activities. A significant risk in implementing these systems includes the integration and communication between separate IT systems, and any failure to integrate these systems effectively could adversely affect various aspects of our operations._
Assistant: