Select one behavior. Every returned turn has one binary label: Present or Absent. Source: final dense boolean release.
0653661a7dee752db15daccbAssistant: Hello! How are you today? User: Hello, my name is Yandri. Assistant: Hello, Yandri! How are you today? User: Can you repeat my name? Assistant:
Of course! Your name is Yandri.
dfd837165ea6ef7ac7a9db22System: 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 are subject to income taxes in the U.S. and various foreign jurisdictions. We believe that our provision for income taxes is reasonable, but the ultimate tax outcome may differ from the amounts recorded in our consolidated financial statements and may materially affect our financial results in the period or periods in which such outcome is determined. Our effective tax rate could be adversely affected by changes in statutory tax rates, changes in the mix of earnings and losses in countries with differing statutory tax rates, certain non-deductible expenses, the valuation of deferred tax assets and liabilities and the effects of acquisitions. Increases in our effective tax rate would reduce our profitability or in some cases increase our losses.
Assistant:```json
{
"relevant_tasks": [
{
"task": "Risk Classification",
"examples": [
{
"input": "The paragraph conveys potential risks related to changes in statutory tax rates and their impact on profitability.",
"label": "entailment"
},
{
"input": "The paragraph describes a stable financial scenario with no risks related to tax rates.",
"label": "non-entailment"
}
]
},
{
"task": "Impact Classification",
"examples": [
{
"input": "The paragraph suggests that changes in tax-related factors could have a material impact on financial results.",
"label": "entailment"
},
{
"input": "The paragraph indicates that changes in tax factors would have no impact on financial results.",
"label": "non-entailment"
}
]
},
{
"task": "Uncertainty Identification",
"examples": [
{
"input": "The paragraph expresses uncertainty about the ultimate tax outcomes and their impact on financial results.",
"label": "entailment"
},
{
"input": "The paragraph conveys certainty and assurance about the tax outcomes and their impacts on financial results.",
"label": "non-entailment"
}
]
},
{
"task": "Tense Identification",
"examples": [
{
"input": "The paragraph includes statements in the present tense regarding current tax provisions and potential future impacts.",
"label": "entailment"
},
{
"input": "The paragraph is written entirely in past tense concerning resolved tax matters.",
"label": "non-entailment"
}
]
}
]
}
```8605c23dc6c0bb283076ff61System: 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: Our products incorporate software licensed to us by third-party authors under open-source licenses, and we expect to continue to incorporate open-source software into our products and services in the future. We monitor our use of open-source software in an effort to avoid subjecting our products and services to adverse licensing conditions. However, there can be no assurance that our efforts have been or will be successful. There is little or no legal precedent governing the interpretation of the terms of open-source licenses, and therefore the potential impact of these terms on our business is uncertain and enforcement of these terms may result in unanticipated obligations regarding our products and services. For example, depending on which open-source license governs certain open-source software included within our products and services, we may be subjected to conditions requiring us to offer our products and services to users at no cost; make available the source code for modifications and derivative works based upon, incorporating or using such open-source software; and license such modifications or derivative works under the terms of the particular open-source license. Moreover, if an author or other third party that distributes such open-source software were to allege that we had not complied with the conditions of one or more of these licenses, we could be required to incur significant legal costs defending ourselves against such allegations, be subject to significant damages or be enjoined from distributing our products and services.
Assistant:```json
{
"relevant_tasks": [
{
"task": "Risk Classification",
"examples": [
{
"input": "The paragraph entails that the use of open-source software introduces legal risks to the company.",
"label": "entailment"
},
{
"input": "The paragraph suggests that the use of open-source software removes any risk for the company.",
"label": "non-entailment"
}
]
},
{
"task": "Tense Identification",
"examples": [
{
"input": "The paragraph discusses potential legal challenges that may occur in the future.",
"label": "entailment"
},
{
"input": "The paragraph exclusively describes events that have already occurred.",
"label": "non-entailment"
}
]
},
{
"task": "Uncertainty Identification",
"examples": [
{
"input": "The paragraph conveys uncertainty about the enforcement of open-source licenses.",
"label": "entailment"
},
{
"input": "The paragraph expresses certainty regarding all outcomes of using open-source software.",
"label": "non-entailment"
}
]
},
{
"task": "Intent Detection",
"examples": [
{
"input": "The paragraph indicates an intention to incorporate more open-source software in the future.",
"label": "entailment"
},
{
"input": "The paragraph states an intention to eliminate all uses of open-source software.",
"label": "non-entailment"
}
]
}
]
}
```2c8211c7e0f6b052070c5bfbSystem: 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
examples:
review: @AppleSupport my phone has been charging since 10 am and it's now 1:34 pm and it's at the same battery level :-(
intention: bug report
review: @Snapchat could use a website feature for regular computers just to watch snaps
intention: feature request
review: @Windows comes up third in OS clash two years early _URL_ via @Computerworld
intention: other
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
examples:
review: @AppleSupport my phone has been charging since 10 am and it's now 1:34 pm and it's at the same battery level :-(
intention: bug report
review: @Snapchat could use a website feature for regular computers just to watch snaps
intention: feature request
review: @Windows comes up third in OS clash two years early _URL_ via @Computerworld
intention: other
Does the author's intention in this app review relate to a bug report or feature request or other?
review: @googlechrome have you issued a fix for the \"page unresponsive\" problem in Chrome for Windows 10? Looked on the support page, no fix :-('
intention: '
Assistant:bug report
a6f19eab5dcb03c899e08495System: 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 provide products and services to governmental and heavily-regulated entities directly and through our partners. We have made, and may continue to make, significant investments to support our efforts to sell to those entities. Processes to obtain authorizations and certifications required for us to provide our products and services to those entities often are lengthy and encounter delays, and we may not be able to satisfy, or maintain compliance with, the associated requirements. A substantial majority of our sales to government entities in the U.S. have been made indirectly through our distributors, resellers or service provider partners. Doing business with government entities presents a variety of risks. The procurement process for governments and their agencies is highly competitive and time-consuming, may be subject to political influence and may involve different rules and conditions on the offering or pricing of products and services. We incur significant up-front time and expense without any assurance that we (or a third-party distributor, reseller or service provider) will win a contract. Beyond this, demand for our products and services may be adversely impacted by public sector budgetary cycles and funding availability that in any given fiscal cycle may be reduced or delayed, including in connection with an extended federal government shutdown, partisan gridlock or changes to government policy. Further, if we or our partners are successful in receiving a contract award, that award could be challenged during a bid protest process.
Assistant:```json
{
"relevant_tasks": [
{
"task": "Risk Classification",
"examples": [
{
"input": "The paragraph suggests that there are various risks associated with doing business with government entities.",
"label": "entailment"
},
{
"input": "The paragraph suggests that doing business with government entities is risk-free.",
"label": "non-entailment"
}
]
},
{
"task": "Entity Recognition",
"examples": [
{
"input": "Government entities and U.S. government are recognized as entities in the paragraph.",
"label": "entailment"
},
{
"input": "The paragraph recognizes 'educational institutions' as entities.",
"label": "non-entailment"
}
]
},
{
"task": "Trend Detection",
"examples": [
{
"input": "There is a trend of lengthy processes and delays in obtaining authorizations for government contracts.",
"label": "entailment"
},
{
"input": "The paragraph detects a trend of increasing ease in obtaining government contracts.",
"label": "non-entailment"
}
]
},
{
"task": "Impact Classification",
"examples": [
{
"input": "The paragraph indicates a potential negative impact on business due to public sector budgetary constraints.",
"label": "entailment"
},
{
"input": "The paragraph indicates a positive impact on business due to guaranteed public sector spending.",
"label": "non-entailment"
}
]
},
{
"task": "Uncertainty Identification",
"examples": [
{
"input": "The paragraph contains uncertainty regarding the awarding and maintenance of government contracts.",
"label": "entailment"
},
{
"input": "The paragraph suggests certainty in securing government contracts without any obstacles.",
"label": "non-entailment"
}
]
}
]
}
```f005f4599bde1eaa2ea81ed5System: 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 examples: review: @AppleSupport my phone has been charging since 10 am and it's now 1:34 pm and it's at the same battery level :-( intention: bug report review: @Snapchat could use a website feature for regular computers just to watch snaps intention: feature request review: @Windows comes up third in OS clash two years early _URL_ via @Computerworld intention: other 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 examples: review: @AppleSupport my phone has been charging since 10 am and it's now 1:34 pm and it's at the same battery level :-( intention: bug report review: @Snapchat could use a website feature for regular computers just to watch snaps intention: feature request review: @Windows comes up third in OS clash two years early _URL_ via @Computerworld intention: other Does the author's intention in this app review relate to a bug report or feature request or other? review: @googlechrome helper eating up too much ram ð±ð©.. why? _URL_' intention: ' Assistant:
bug report
603a5183a7240fa0f42205ebSystem: 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 examples: review: @AppleSupport my phone has been charging since 10 am and it's now 1:34 pm and it's at the same battery level :-( intention: bug report review: @Snapchat could use a website feature for regular computers just to watch snaps intention: feature request review: @Windows comes up third in OS clash two years early _URL_ via @Computerworld intention: other 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 examples: review: @AppleSupport my phone has been charging since 10 am and it's now 1:34 pm and it's at the same battery level :-( intention: bug report review: @Snapchat could use a website feature for regular computers just to watch snaps intention: feature request review: @Windows comes up third in OS clash two years early _URL_ via @Computerworld intention: other Does the author's intention in this app review relate to a bug report or feature request or other? review: @googlechrome hey guys could you please fix the browser i keep having issues with dns,forbidden and not responding but not on firefox' intention: ' Assistant:
bug report
d10a74f6649fb00354ba995cSystem: 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: Information technology security threats, including security breaches, computer malware, cyber-attacks and other unauthorized access attempts are increasing, in both frequency and sophistication. Any such disruption, if successful, could result in data leaks or otherwise compromise confidential, proprietary and/or business critical information, cause a disruption in our operations or harm our reputation and results of operations. As previously announced, we have in the past experienced a cyber intrusion and may in the future be subject to additional intrusion events. There can be no assurance that the controls and procedures that we put in place will be sufficient or adequate to protect us. Further, as cyber threats are continually evolving, we may be required to devote additional resources to modify or enhance our systems in the future. Any breaches or compromises of data, and/or misappropriation of information resulting from such disruptions could result in violation of privacy and other laws, litigation, fines, negative publicity, loss of investor confidence, lost sales, business delays, indemnity obligations and/or material costs not covered by insurance, any of which could have a material adverse effect on our business, financial condition or results of operations.
Assistant:```json
{
'relevant_tasks': [
{
'task': 'Risk Classification',
'examples': [
{
'input': 'The paragraph suggests that information technology security threats pose a significant risk to the company’s operations and reputation.',
'label': 'entailment'
},
{
'input': 'The paragraph indicates that the company faces no risk from information technology security threats.',
'label': 'non-entailment'
}
]
},
{
'task': 'Sentiment Classification',
'examples': [
{
'input': 'The paragraph conveys a negative sentiment due to the potential adverse effects of cyber security threats.',
'label': 'entailment'
},
{
'input': 'The paragraph conveys a positive sentiment regarding its information technology security.',
'label': 'non-entailment'
}
]
},
{
'task': 'Tense Identification',
'examples': [
{
'input': 'The paragraph is primarily written in the present and future tense, as it describes current and potential future threats.',
'label': 'entailment'
},
{
'input': 'The paragraph is primarily written in the past tense, describing only previous events.',
'label': 'non-entailment'
}
]
},
{
'task': 'Uncertainty Identification',
'examples': [
{
'input': 'The paragraph indicates uncertainty regarding the effectiveness of the current security measures in place.',
'label': 'entailment'
},
{
'input': 'The paragraph provides certainty that the current security measures effectively prevent all cyber threats.',
'label': 'non-entailment'
}
]
},
{
'task': 'Impact Classification',
'examples': [
{
'input': 'The paragraph outlines a potential high impact from data breaches on the company’s financial condition and operations.',
'label': 'entailment'
},
{
'input': 'The paragraph suggests that data breaches have no impact on the company’s financial condition or operations.',
'label': 'non-entailment'
}
]
}
]
}
```6f8228b3be0733be48c28aefНужно письмо на тему я битмейкер DUCK CRAZY BEATS и у меня есть Beats для артистов. Текст должен состоять от 2 до 4 абзаццев. По Английски
Subject: Unique Beats for Artists from Duck Crazy Beats Dear [Artist's Name], I hope this message finds you well! My name is Duck Crazy Beats, and I am a passionate beatmaker dedicated to creating unique and high-quality beats for artists across various genres. Whether you're looking for something energetic, soulful, or experimental, I have an extensive collection of tracks that can complement your artistic vision and elevate your music. I believe that collaboration can lead to extraordinary results, and I'm excited to share my beats with talented artists like you. Each beat is crafted with care, ensuring that it resonates with the emotions and themes you wish to express in your work. If you're interested, I would love to discuss your musical projects and see how we can collaborate to bring your ideas to life. Looking forward to hearing from you! Best regards, Duck Crazy Beats
b84abe3b280628944a6683d2System: 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 examples: review: @AppleSupport my phone has been charging since 10 am and it's now 1:34 pm and it's at the same battery level :-( intention: bug report review: @Snapchat could use a website feature for regular computers just to watch snaps intention: feature request review: @Windows comes up third in OS clash two years early _URL_ via @Computerworld intention: other 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 examples: review: @AppleSupport my phone has been charging since 10 am and it's now 1:34 pm and it's at the same battery level :-( intention: bug report review: @Snapchat could use a website feature for regular computers just to watch snaps intention: feature request review: @Windows comes up third in OS clash two years early _URL_ via @Computerworld intention: other Does the author's intention in this app review relate to a bug report or feature request or other? review: @googlechrome hits 1 billion monthly active #mobile users _URL_?' intention: ' Assistant:
other