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<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Historic shipwreck identified in Lake Michigan
MUSKEGON – The bottom of Lake Michigan is literally a graveyard of shipwrecks. Local maritime historians say 1,200 of the 2,000 sunken vessels in Lake Michigan no longer exist because they hit shore and broke apart. Experts add that about 360 wrecks have been found in the lake's deeper water, but there are still many wrecks out there that remain undiscovered. A group of explorers recently found a historic steamship off the coast of Muskegon more than a century after it sank. Members of the Michigan Shipwreck Research Association say this is one of the deepest wrecks ever discovered in Lake Michigan. The story begins around midnight on Feb. 9, 1899. Lake Michigan was ice-caked and the 214-foot John V. Moran bucked the ice floes on its run from Milwaukee to Muskegon to deliver a cargo of barreled flour and package goods. The ship was only 11 years old and had an iron-reinforced hull for winter transit, but the conditions on this particular day were too much for the steamer. Ice struck a hole in the hull and water began pouring in. Capt. John McLeod dumped as much of the cargo as he could to lighten the load and try to keep the ship afloat, but it began slipping underneath the ice. """<|im_end|>
<|im_start|>assistant
| Historic shipwreck identified in Lake Michigan
MUSKEGON – The bottom of Lake Michigan is literally a graveyard of shipwrecks. Local maritime historians say 1,200 of the 2,000 sunken vessels in Lake Michigan no longer exist because they hit shore and broke apart. Experts add that about 360 wrecks have been found in the lake's deeper water, but there are still many wrecks out there that remain undiscovered. A group of explorers recently found a historic steamship off the coast of Muskegon more than a century after it sank. Members of the Michigan Shipwreck Research Association say this is one of the deepest wrecks ever discovered in Lake Michigan. The story begins around midnight on Feb. 9, 1899. Lake Michigan was ice-caked and the 214-foot John V. Moran bucked the ice floes on its run from Milwaukee to Muskegon to deliver a cargo of barreled flour and package goods. The ship was only 11 years old and had an iron-reinforced hull for winter transit, but the conditions on this particular day were too much for the steamer. Ice struck a hole in the hull and water began pouring in. Capt. John McLeod dumped as much of the cargo as he could to lighten the load and try to keep the ship afloat, but it began slipping underneath the ice. | [
{
"from": "human",
"value": "Text: Historic shipwreck identified in Lake Michigan\n\nMUSKEGON – The bottom of Lake Michigan is literally a graveyard of shipwrecks. Local maritime historians say 1,200 of the 2,000 sunken vessels in Lake Michigan no longer exist because they hit shore and broke apart. Experts add that about 360 wrecks have been found in the lake's deeper water, but there are still many wrecks out there that remain undiscovered. A group of explorers recently found a historic steamship off the coast of Muskegon more than a century after it sank. Members of the Michigan Shipwreck Research Association say this is one of the deepest wrecks ever discovered in Lake Michigan. The story begins around midnight on Feb. 9, 1899. Lake Michigan was ice-caked and the 214-foot John V. Moran bucked the ice floes on its run from Milwaukee to Muskegon to deliver a cargo of barreled flour and package goods. The ship was only 11 years old and had an iron-reinforced hull for winter transit, but the conditions on this particular day were too much for the steamer. Ice struck a hole in the hull and water began pouring in. Capt. John McLeod dumped as much of the cargo as he could to lighten the load and try to keep the ship afloat, but it began slipping underneath the ice."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes law in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"Michigan Shipwreck Research Association\"]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Capt. John McLeod\"]"
},
{
"from": "human",
"value": "What describes object in the text?"
},
{
"from": "gpt",
"value": "[\"shipwrecks\", \"vessels\", \"wrecks\", \"steamship\", \"John V. Moran\", \"barreled flour\", \"package goods\", \"iron-reinforced hull\", \"winter transit\", \"cargo\", \"ice\", \"hole\", \"water\"]"
},
{
"from": "human",
"value": "What describes function in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes compound in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"Lake Michigan\", \"shore\", \"Muskegon\", \"Milwaukee\"]"
},
{
"from": "human",
"value": "What describes Chemical in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes profession in the text?"
},
{
"from": "gpt",
"value": "[\"maritime historians\", \"explorers\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Kenworthy has several points of disagreement with the Vermont senator, but both basically argue that the United States should adopt polices similar to those of Scandinavian countries in which the government provides more resources for parents and the economically insecure. In his book "Social Democratic America," Kenworthy calls for a raft of new government spending -- family and sick leave, paid for by the state; a pre-kindergarten program subsidized for all families; and more. As Kenworthy explains it, social democracy is really just about setting up governmental insurance to cover Americans in the event of unexpected expenses and losses of income. These programs would guarantee Americans a certain level of economic stability, even if their circumstances change suddenly, and they would help many working-class families handle typical financial headaches. AD
AD
Americans already have disability and unemployment insurance through the federal government, for example. They hold old-age insurance in the form of Social Security and Medicare to cover the cost of living and health care for people who live longer. President Obama's health reform helps many Americans pay for general medical insurance. Likewise, paid sick leave would insure against loss of income due to short-term illness. Universal child care and more generous college-tuition grants would insure against some of the costs of parenting. """<|im_end|>
<|im_start|>assistant
| Kenworthy has several points of disagreement with the Vermont senator, but both basically argue that the United States should adopt polices similar to those of Scandinavian countries in which the government provides more resources for parents and the economically insecure. In his book "Social Democratic America," Kenworthy calls for a raft of new government spending -- family and sick leave, paid for by the state; a pre-kindergarten program subsidized for all families; and more. As Kenworthy explains it, social democracy is really just about setting up governmental insurance to cover Americans in the event of unexpected expenses and losses of income. These programs would guarantee Americans a certain level of economic stability, even if their circumstances change suddenly, and they would help many working-class families handle typical financial headaches. AD
AD
Americans already have disability and unemployment insurance through the federal government, for example. They hold old-age insurance in the form of Social Security and Medicare to cover the cost of living and health care for people who live longer. President Obama's health reform helps many Americans pay for general medical insurance. Likewise, paid sick leave would insure against loss of income due to short-term illness. Universal child care and more generous college-tuition grants would insure against some of the costs of parenting. | [
{
"from": "human",
"value": "Text: Kenworthy has several points of disagreement with the Vermont senator, but both basically argue that the United States should adopt polices similar to those of Scandinavian countries in which the government provides more resources for parents and the economically insecure. In his book \"Social Democratic America,\" Kenworthy calls for a raft of new government spending -- family and sick leave, paid for by the state; a pre-kindergarten program subsidized for all families; and more. As Kenworthy explains it, social democracy is really just about setting up governmental insurance to cover Americans in the event of unexpected expenses and losses of income. These programs would guarantee Americans a certain level of economic stability, even if their circumstances change suddenly, and they would help many working-class families handle typical financial headaches. AD\n\nAD\n\nAmericans already have disability and unemployment insurance through the federal government, for example. They hold old-age insurance in the form of Social Security and Medicare to cover the cost of living and health care for people who live longer. President Obama's health reform helps many Americans pay for general medical insurance. Likewise, paid sick leave would insure against loss of income due to short-term illness. Universal child care and more generous college-tuition grants would insure against some of the costs of parenting."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"government\", \"Social Security\", \"Medicare\"]"
},
{
"from": "human",
"value": "What describes Nationality in the text?"
},
{
"from": "gpt",
"value": "[\"Americans\"]"
},
{
"from": "human",
"value": "What describes dish in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Gender in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Policy in the text?"
},
{
"from": "gpt",
"value": "[\"health reform\", \"paid sick leave\", \"Universal child care\", \"college-tuition grants\"]"
},
{
"from": "human",
"value": "What describes Title in the text?"
},
{
"from": "gpt",
"value": "[\"Social Democratic America\"]"
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"Vermont\", \"United States\", \"Scandinavian countries\"]"
},
{
"from": "human",
"value": "What describes Activity in the text?"
},
{
"from": "gpt",
"value": "[\"parenting\"]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Kenworthy\", \"President Obama\"]"
},
{
"from": "human",
"value": "What describes animal in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" The growth in use of credit and debit cards has been met with a rise in fraud and theft. To improve the customer experience, merchants often relax security standards during transactions. As an example, a merchant may require only a credit card number, expiration date, and security code, but not evidence of possession of the actual credit card before allowing a transaction. As a result, a user may possess the physical credit card even though information associated with the credit card has been stolen. """<|im_end|>
<|im_start|>assistant
| The growth in use of credit and debit cards has been met with a rise in fraud and theft. To improve the customer experience, merchants often relax security standards during transactions. As an example, a merchant may require only a credit card number, expiration date, and security code, but not evidence of possession of the actual credit card before allowing a transaction. As a result, a user may possess the physical credit card even though information associated with the credit card has been stolen. | [
{
"from": "human",
"value": "Text: The growth in use of credit and debit cards has been met with a rise in fraud and theft. To improve the customer experience, merchants often relax security standards during transactions. As an example, a merchant may require only a credit card number, expiration date, and security code, but not evidence of possession of the actual credit card before allowing a transaction. As a result, a user may possess the physical credit card even though information associated with the credit card has been stolen."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes product in the text?"
},
{
"from": "gpt",
"value": "[\"debit cards\", \"actual credit card\"]"
},
{
"from": "human",
"value": "What describes profession in the text?"
},
{
"from": "gpt",
"value": "[\"merchants\"]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"user\"]"
},
{
"from": "human",
"value": "What describes crime in the text?"
},
{
"from": "gpt",
"value": "[\"fraud\", \"theft\"]"
},
{
"from": "human",
"value": "What describes concept in the text?"
},
{
"from": "gpt",
"value": "[\"security standards\", \"credit card number\", \"expiration date\", \"security code\", \"possession\", \"information\"]"
},
{
"from": "human",
"value": "What describes event in the text?"
},
{
"from": "gpt",
"value": "[\"transactions\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" No Pat Cummins for Australia against India for T20s
Australian team after suffering a shameful defeat in the second one day will no lack one of their top fast bowlers in the T20 series as well as Pat Cummins will skip the upcoming three-match Twenty20 International (T20I) series against India. Cummins will be leaving this series and return home to prepare for the Ashes later this year, Cricket Australia confirmed on Friday. “Key fast bowler Pat Cummins will skip the T20 leg of Australia’s Qantas Tour of India in order to rest ahead of the Magellan Ashes this summer,” Cricket Australia said in a statement. Cricket Australia also clarified the 24-year-old is not injured and will look to freshen up ahead of the Sheffield Shield season scheduled from October 26 to March 26 2018. “The paceman is not carrying an injury but selectors have decided to send him home after the fifth ODI in Nagpur on Sunday week in order to freshen up ahead of the start of the Sheffield Shield season,” Cricket Australia said. Australia are slated to play three T20Is from October 7 to 13 in Ranchi, Guwahati and Hyderabad. """<|im_end|>
<|im_start|>assistant
| No Pat Cummins for Australia against India for T20s
Australian team after suffering a shameful defeat in the second one day will no lack one of their top fast bowlers in the T20 series as well as Pat Cummins will skip the upcoming three-match Twenty20 International (T20I) series against India. Cummins will be leaving this series and return home to prepare for the Ashes later this year, Cricket Australia confirmed on Friday. “Key fast bowler Pat Cummins will skip the T20 leg of Australia’s Qantas Tour of India in order to rest ahead of the Magellan Ashes this summer,” Cricket Australia said in a statement. Cricket Australia also clarified the 24-year-old is not injured and will look to freshen up ahead of the Sheffield Shield season scheduled from October 26 to March 26 2018. “The paceman is not carrying an injury but selectors have decided to send him home after the fifth ODI in Nagpur on Sunday week in order to freshen up ahead of the start of the Sheffield Shield season,” Cricket Australia said. Australia are slated to play three T20Is from October 7 to 13 in Ranchi, Guwahati and Hyderabad. | [
{
"from": "human",
"value": "Text: No Pat Cummins for Australia against India for T20s\n\nAustralian team after suffering a shameful defeat in the second one day will no lack one of their top fast bowlers in the T20 series as well as Pat Cummins will skip the upcoming three-match Twenty20 International (T20I) series against India. Cummins will be leaving this series and return home to prepare for the Ashes later this year, Cricket Australia confirmed on Friday. “Key fast bowler Pat Cummins will skip the T20 leg of Australia’s Qantas Tour of India in order to rest ahead of the Magellan Ashes this summer,” Cricket Australia said in a statement. Cricket Australia also clarified the 24-year-old is not injured and will look to freshen up ahead of the Sheffield Shield season scheduled from October 26 to March 26 2018. “The paceman is not carrying an injury but selectors have decided to send him home after the fifth ODI in Nagpur on Sunday week in order to freshen up ahead of the start of the Sheffield Shield season,” Cricket Australia said. Australia are slated to play three T20Is from October 7 to 13 in Ranchi, Guwahati and Hyderabad."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"Cricket Australia\"]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Pat Cummins\"]"
},
{
"from": "human",
"value": "What describes event in the text?"
},
{
"from": "gpt",
"value": "[\"T20s\", \"Twenty20 International\", \"Ashes\", \"Sheffield Shield\"]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"Australia\", \"India\", \"Nagpur\", \"Ranchi\", \"Guwahati\", \"Hyderabad\"]"
},
{
"from": "human",
"value": "What describes Social Media Platform in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" In case of problems accessing the NYISO website for submitting schedules and
such, try this alternative site for access... I have found this to be
available when the main site is down... I would try the main site first
though...
https://mtdev.nyiso.com
-narsimha """<|im_end|>
<|im_start|>assistant
| In case of problems accessing the NYISO website for submitting schedules and
such, try this alternative site for access... I have found this to be
available when the main site is down... I would try the main site first
though...
https://mtdev.nyiso.com
-narsimha | [
{
"from": "human",
"value": "Text: In case of problems accessing the NYISO website for submitting schedules and \nsuch, try this alternative site for access... I have found this to be \navailable when the main site is down... I would try the main site first \nthough...\nhttps://mtdev.nyiso.com\n-narsimha"
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes website in the text?"
},
{
"from": "gpt",
"value": "[\"NYISO website\", \"alternative site\", \"main site\"]"
},
{
"from": "human",
"value": "What describes chemical in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Q:
Qt Stylesheet mystery
My Desktop Qt app has a large stylesheet applied. It's applied for the QApplication derived class I am using:
this->ApplyStyleSheet(":/qss/default.qss");
It works well for all QWidget objects I define and use. (using *.ui files). My problem begins when i promote one of my QWidgets in the *.ui file I'm using to one of my own QWidget derived classes. When my widget was QWidget, the following worked and changed the background image:
QWidget#myWidget {
background: transparent;
background-image: url(:/images/bg_img.png);
background-repeat: repeat-x;
}
When I promoted the element to my custom QWidget derived class and changed to:
QMyDerivedClass#myWidget {
background: transparent;
background-image: url(:/images/bg_img.png);
background-repeat: repeat-x;
}
I no longer see my background image. Obviously I am missing something. What is it... I hope one of you knows. A:
My bad. Posting this so that people with similar problem can find a solution:
I did not add "paintEvent" to my custom class. (which in this case draws nothing but it enables the stylesheet adherence). """<|im_end|>
<|im_start|>assistant
| Q:
Qt Stylesheet mystery
My Desktop Qt app has a large stylesheet applied. It's applied for the QApplication derived class I am using:
this->ApplyStyleSheet(":/qss/default.qss");
It works well for all QWidget objects I define and use. (using *.ui files). My problem begins when i promote one of my QWidgets in the *.ui file I'm using to one of my own QWidget derived classes. When my widget was QWidget, the following worked and changed the background image:
QWidget#myWidget {
background: transparent;
background-image: url(:/images/bg_img.png);
background-repeat: repeat-x;
}
When I promoted the element to my custom QWidget derived class and changed to:
QMyDerivedClass#myWidget {
background: transparent;
background-image: url(:/images/bg_img.png);
background-repeat: repeat-x;
}
I no longer see my background image. Obviously I am missing something. What is it... I hope one of you knows. A:
My bad. Posting this so that people with similar problem can find a solution:
I did not add "paintEvent" to my custom class. (which in this case draws nothing but it enables the stylesheet adherence). | [
{
"from": "human",
"value": "Text: Q:\n\nQt Stylesheet mystery\n\nMy Desktop Qt app has a large stylesheet applied. It's applied for the QApplication derived class I am using:\nthis->ApplyStyleSheet(\":/qss/default.qss\");\n\nIt works well for all QWidget objects I define and use. (using *.ui files). My problem begins when i promote one of my QWidgets in the *.ui file I'm using to one of my own QWidget derived classes. When my widget was QWidget, the following worked and changed the background image:\nQWidget#myWidget {\n background: transparent;\n background-image: url(:/images/bg_img.png);\n background-repeat: repeat-x;\n}\n\nWhen I promoted the element to my custom QWidget derived class and changed to:\nQMyDerivedClass#myWidget {\n background: transparent;\n background-image: url(:/images/bg_img.png);\n background-repeat: repeat-x;\n}\n\nI no longer see my background image. Obviously I am missing something. What is it... I hope one of you knows. A:\n\nMy bad. Posting this so that people with similar problem can find a solution:\nI did not add \"paintEvent\" to my custom class. (which in this case draws nothing but it enables the stylesheet adherence)."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes locus in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes software in the text?"
},
{
"from": "gpt",
"value": "[\"Qt\", \"Desktop Qt\", \"QApplication\", \"QWidget\", \"QWidgets\", \"QMyDerivedClass\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Bird Care
Our bird care area stocks a wide range of bird seeds and accessories to make sure your garden attracts feathered friends all year round. From general bird feeds to more specialist varieties, meal worms and suets we have a varied selection. We also stock bird feeders from seeds through to sunflower hearts as well as bird tables and bird baths. Providing birds with natural food, supplementary food and water will ensure your garden will be visited all year round by a host of different birds. It is important to feed your garden birds responsibly and safely. By following a few simple guidelines, you can play a valuable role in helping your local birds overcome periods of natural food shortage, survive periods of severe winter weather and come into good breeding condition in the spring. Supplementary feeding can’t provide all the natural proteins and vitamins that adult and young birds need, so it’s important to create and manage your garden to provide a source of natural foods as well, through well-managed lawns, shrub and flowerbeds. For more information on how to attract birds to your garden, what food to provide them with and other interesting facts you may wish to visit the RSPB website here: RSPB
Please note that due to the Sunday Trading Laws, we are not open on Easter Sunday. """<|im_end|>
<|im_start|>assistant
| Bird Care
Our bird care area stocks a wide range of bird seeds and accessories to make sure your garden attracts feathered friends all year round. From general bird feeds to more specialist varieties, meal worms and suets we have a varied selection. We also stock bird feeders from seeds through to sunflower hearts as well as bird tables and bird baths. Providing birds with natural food, supplementary food and water will ensure your garden will be visited all year round by a host of different birds. It is important to feed your garden birds responsibly and safely. By following a few simple guidelines, you can play a valuable role in helping your local birds overcome periods of natural food shortage, survive periods of severe winter weather and come into good breeding condition in the spring. Supplementary feeding can’t provide all the natural proteins and vitamins that adult and young birds need, so it’s important to create and manage your garden to provide a source of natural foods as well, through well-managed lawns, shrub and flowerbeds. For more information on how to attract birds to your garden, what food to provide them with and other interesting facts you may wish to visit the RSPB website here: RSPB
Please note that due to the Sunday Trading Laws, we are not open on Easter Sunday. | [
{
"from": "human",
"value": "Text: Bird Care\n\nOur bird care area stocks a wide range of bird seeds and accessories to make sure your garden attracts feathered friends all year round. From general bird feeds to more specialist varieties, meal worms and suets we have a varied selection. We also stock bird feeders from seeds through to sunflower hearts as well as bird tables and bird baths. Providing birds with natural food, supplementary food and water will ensure your garden will be visited all year round by a host of different birds. It is important to feed your garden birds responsibly and safely. By following a few simple guidelines, you can play a valuable role in helping your local birds overcome periods of natural food shortage, survive periods of severe winter weather and come into good breeding condition in the spring. Supplementary feeding can’t provide all the natural proteins and vitamins that adult and young birds need, so it’s important to create and manage your garden to provide a source of natural foods as well, through well-managed lawns, shrub and flowerbeds. For more information on how to attract birds to your garden, what food to provide them with and other interesting facts you may wish to visit the RSPB website here: RSPB\n\nPlease note that due to the Sunday Trading Laws, we are not open on Easter Sunday."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes event in the text?"
},
{
"from": "gpt",
"value": "[\"periods of natural food shortage\", \"severe winter weather\", \"good breeding condition\", \"Sunday Trading Laws\"]"
},
{
"from": "human",
"value": "What describes animal in the text?"
},
{
"from": "gpt",
"value": "[\"feathered friends\", \"birds\", \"local birds\", \"young birds\"]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"bird care area\", \"garden\"]"
},
{
"from": "human",
"value": "What describes title in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"RSPB website\"]"
},
{
"from": "human",
"value": "What describes Continent in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes personality trait in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Money in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Field of the Invention in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes product in the text?"
},
{
"from": "gpt",
"value": "[\"bird seeds\", \"accessories\", \"bird feeds\", \"specialist varieties\", \"meal worms\", \"suets\", \"bird feeders\", \"seeds\", \"sunflower hearts\", \"bird tables\", \"bird baths\", \"natural food\", \"supplementary food\", \"water\", \"simple guidelines\", \"natural proteins\", \"vitamins\", \"source of natural foods\", \"well-managed lawns\", \"shrub\", \"flowerbeds\"]"
},
{
"from": "human",
"value": "What describes date in the text?"
},
{
"from": "gpt",
"value": "[\"Easter Sunday\"]"
},
{
"from": "human",
"value": "What describes field of study in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" A Shadow Above - The Fall and Rise of the Raven by Joe Shute
One of the Minsmere management was kind enough to draw my attention to the publication of this book - it is now on order and I look forward to receiving it! I'll let you know how I get on with it in due course. Our herring gulls are red listed birds. Think about that the next time you hear some flaming idiot calling for a cull of them. """<|im_end|>
<|im_start|>assistant
| A Shadow Above - The Fall and Rise of the Raven by Joe Shute
One of the Minsmere management was kind enough to draw my attention to the publication of this book - it is now on order and I look forward to receiving it! I'll let you know how I get on with it in due course. Our herring gulls are red listed birds. Think about that the next time you hear some flaming idiot calling for a cull of them. | [
{
"from": "human",
"value": "Text: A Shadow Above - The Fall and Rise of the Raven by Joe Shute\n\nOne of the Minsmere management was kind enough to draw my attention to the publication of this book - it is now on order and I look forward to receiving it! I'll let you know how I get on with it in due course. Our herring gulls are red listed birds. Think about that the next time you hear some flaming idiot calling for a cull of them."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"Minsmere\"]"
},
{
"from": "human",
"value": "What describes animal in the text?"
},
{
"from": "gpt",
"value": "[\"herring gulls\"]"
},
{
"from": "human",
"value": "What describes occupation in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Joe Shute\"]"
},
{
"from": "human",
"value": "What describes variable in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Description in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" What is the difference between the Department of Systems Biology and the Center for Computational Biology and Bioinformatics? In recognition of the importance of systems biology to the future of biological and biomedical research, the Trustess of Columbia University approved the creation of the Department of Systems Biology in June 2013. Although the Center of Computational Biology and Bioinformatics still exists, it is now a center within the Department of Systems Biology, bringing together investigators from around the university whose primary interests are in computational biology. Because of the importance of computational disciplines within the context of systems biology, this arrangement is a natural fit, and is promoting dialogue and collaboration with other members of the Department of Systems Biology whose primary interest is not computation, but approach biology from a systems perspective. Why does the Columbia Initiative in Systems Biology have faculty from so many different departments? Systems biology is an interdisciplinary field that can be approached from a variety of perspectives. At Columbia, you can pursue training in computational biology as part of a program that closely matches your interests. Do you accept international students? Is it possible for a graduate student to do both experimental and computational research? Yes. Many of our students use both computational and experimental methods in their research. """<|im_end|>
<|im_start|>assistant
| What is the difference between the Department of Systems Biology and the Center for Computational Biology and Bioinformatics? In recognition of the importance of systems biology to the future of biological and biomedical research, the Trustess of Columbia University approved the creation of the Department of Systems Biology in June 2013. Although the Center of Computational Biology and Bioinformatics still exists, it is now a center within the Department of Systems Biology, bringing together investigators from around the university whose primary interests are in computational biology. Because of the importance of computational disciplines within the context of systems biology, this arrangement is a natural fit, and is promoting dialogue and collaboration with other members of the Department of Systems Biology whose primary interest is not computation, but approach biology from a systems perspective. Why does the Columbia Initiative in Systems Biology have faculty from so many different departments? Systems biology is an interdisciplinary field that can be approached from a variety of perspectives. At Columbia, you can pursue training in computational biology as part of a program that closely matches your interests. Do you accept international students? Is it possible for a graduate student to do both experimental and computational research? Yes. Many of our students use both computational and experimental methods in their research. | [
{
"from": "human",
"value": "Text: What is the difference between the Department of Systems Biology and the Center for Computational Biology and Bioinformatics? In recognition of the importance of systems biology to the future of biological and biomedical research, the Trustess of Columbia University approved the creation of the Department of Systems Biology in June 2013. Although the Center of Computational Biology and Bioinformatics still exists, it is now a center within the Department of Systems Biology, bringing together investigators from around the university whose primary interests are in computational biology. Because of the importance of computational disciplines within the context of systems biology, this arrangement is a natural fit, and is promoting dialogue and collaboration with other members of the Department of Systems Biology whose primary interest is not computation, but approach biology from a systems perspective. Why does the Columbia Initiative in Systems Biology have faculty from so many different departments? Systems biology is an interdisciplinary field that can be approached from a variety of perspectives. At Columbia, you can pursue training in computational biology as part of a program that closely matches your interests. Do you accept international students? Is it possible for a graduate student to do both experimental and computational research? Yes. Many of our students use both computational and experimental methods in their research."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes physical entity in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"Department of Systems Biology\", \"Center for Computational Biology and Bioinformatics\", \"Columbia University\", \"Center of Computational Biology and Bioinformatics\", \"Columbia Initiative in Systems Biology\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" The recently revised National Firearms Agreement (NFA), quietly released in February, was at the forefront of discussions when the SSAA and other firearms groups converged on the capital last week. Chaired by Justice Minister Michael Keenan, the Firearms Industry Reference Group (FIRG) made it clear that the new document and entire review process was deeply divisive and a wasted opportunity to address oppressive restrictions affecting more than one million Australian citizens. SSAA National President Geoff Jones flew the flag for our 180,000-plus members, receiving another apology for the handgun fiasco that failed to recognise the SSAA’s many legitimate handgun competitions. But it was the new NFA that the FIRG members took the Minister to task on. Minister Keenan assured the group that there was no intention to change the original document, except to recategorise lever-action shotguns. After being pressed on the many apparent unintended changes, the Minister proclaimed that the NFA is not binding on the states or territories. It is an in-principle agreement and if aspects of the NFA are unworkable or unsuitable for a jurisdiction, they have the power to deviate from the document. This was repeated time and time again throughout the meeting and it shines a light on the stark reality of firearms laws in this country: there is no such thing as national firearms laws and the NFA itself carries no weight whatsoever. """<|im_end|>
<|im_start|>assistant
| The recently revised National Firearms Agreement (NFA), quietly released in February, was at the forefront of discussions when the SSAA and other firearms groups converged on the capital last week. Chaired by Justice Minister Michael Keenan, the Firearms Industry Reference Group (FIRG) made it clear that the new document and entire review process was deeply divisive and a wasted opportunity to address oppressive restrictions affecting more than one million Australian citizens. SSAA National President Geoff Jones flew the flag for our 180,000-plus members, receiving another apology for the handgun fiasco that failed to recognise the SSAA’s many legitimate handgun competitions. But it was the new NFA that the FIRG members took the Minister to task on. Minister Keenan assured the group that there was no intention to change the original document, except to recategorise lever-action shotguns. After being pressed on the many apparent unintended changes, the Minister proclaimed that the NFA is not binding on the states or territories. It is an in-principle agreement and if aspects of the NFA are unworkable or unsuitable for a jurisdiction, they have the power to deviate from the document. This was repeated time and time again throughout the meeting and it shines a light on the stark reality of firearms laws in this country: there is no such thing as national firearms laws and the NFA itself carries no weight whatsoever. | [
{
"from": "human",
"value": "Text: The recently revised National Firearms Agreement (NFA), quietly released in February, was at the forefront of discussions when the SSAA and other firearms groups converged on the capital last week. Chaired by Justice Minister Michael Keenan, the Firearms Industry Reference Group (FIRG) made it clear that the new document and entire review process was deeply divisive and a wasted opportunity to address oppressive restrictions affecting more than one million Australian citizens. SSAA National President Geoff Jones flew the flag for our 180,000-plus members, receiving another apology for the handgun fiasco that failed to recognise the SSAA’s many legitimate handgun competitions. But it was the new NFA that the FIRG members took the Minister to task on. Minister Keenan assured the group that there was no intention to change the original document, except to recategorise lever-action shotguns. After being pressed on the many apparent unintended changes, the Minister proclaimed that the NFA is not binding on the states or territories. It is an in-principle agreement and if aspects of the NFA are unworkable or unsuitable for a jurisdiction, they have the power to deviate from the document. This was repeated time and time again throughout the meeting and it shines a light on the stark reality of firearms laws in this country: there is no such thing as national firearms laws and the NFA itself carries no weight whatsoever."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes disease in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Nationality in the text?"
},
{
"from": "gpt",
"value": "[\"Australian\"]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Justice Minister Michael Keenan\", \"Geoff Jones\"]"
},
{
"from": "human",
"value": "What describes Title in the text?"
},
{
"from": "gpt",
"value": "[\"Minister\"]"
},
{
"from": "human",
"value": "What describes Number in the text?"
},
{
"from": "gpt",
"value": "[\"180,000-plus\"]"
},
{
"from": "human",
"value": "What describes Date in the text?"
},
{
"from": "gpt",
"value": "[\"February\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"SSAA\", \"Firearms Industry Reference Group\", \"FIRG\"]"
},
{
"from": "human",
"value": "What describes Disease in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes organ in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Law in the text?"
},
{
"from": "gpt",
"value": "[\"firearms laws\"]"
},
{
"from": "human",
"value": "What describes Firearm in the text?"
},
{
"from": "gpt",
"value": "[\"handgun\", \"lever-action shotguns\"]"
},
{
"from": "human",
"value": "What describes Drive in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Region in the text?"
},
{
"from": "gpt",
"value": "[\"states\", \"territories\", \"jurisdiction\", \"country\"]"
},
{
"from": "human",
"value": "What describes Country in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Agreement in the text?"
},
{
"from": "gpt",
"value": "[\"National Firearms Agreement\"]"
},
{
"from": "human",
"value": "What describes effect in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes cell in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Cookies help us deliver our Services. By using our Services, you agree to our use of cookies. Learn More
Shazam! character breakdowns confirm film's villains
Shazam has his work cut out for him. A new batch of character breakdowns for DC's impending Shazam! (courtesy of That Hashtag Show) reveal that the titular hero will go up against as many as four villains–including three members of the Sivana Family and a baddie whose whole persona is rooted in mystery. The first antagonist Billy Batson/Shazam, played by Chuck and Thor: Ragnarok actor Zachary Levi, will attempt to take down is his arch-nemesis Doctor Thaddeus Bodog Sivana, an "evil sorcerer who regenerates from death with world domination on his mind." Within the DC Comics lore, Doctor Sivana has consistently been portrayed as (unsurprisingly given his title) a doctor of science, so it's interesting to hear that Shazam! will see him cozying up to the magical side of things as he had done in The New 52 Justice League comic series. Mark Strong recently confirmed he's the man behind the nefarious villain, telling ContactMusic, ”I'm playing an evil bastard called Doctor Sivana. They are always the best characters to play, the most fun. """<|im_end|>
<|im_start|>assistant
| Cookies help us deliver our Services. By using our Services, you agree to our use of cookies. Learn More
Shazam! character breakdowns confirm film's villains
Shazam has his work cut out for him. A new batch of character breakdowns for DC's impending Shazam! (courtesy of That Hashtag Show) reveal that the titular hero will go up against as many as four villains–including three members of the Sivana Family and a baddie whose whole persona is rooted in mystery. The first antagonist Billy Batson/Shazam, played by Chuck and Thor: Ragnarok actor Zachary Levi, will attempt to take down is his arch-nemesis Doctor Thaddeus Bodog Sivana, an "evil sorcerer who regenerates from death with world domination on his mind." Within the DC Comics lore, Doctor Sivana has consistently been portrayed as (unsurprisingly given his title) a doctor of science, so it's interesting to hear that Shazam! will see him cozying up to the magical side of things as he had done in The New 52 Justice League comic series. Mark Strong recently confirmed he's the man behind the nefarious villain, telling ContactMusic, ”I'm playing an evil bastard called Doctor Sivana. They are always the best characters to play, the most fun. | [
{
"from": "human",
"value": "Text: Cookies help us deliver our Services. By using our Services, you agree to our use of cookies. Learn More\n\nShazam! character breakdowns confirm film's villains\n\nShazam has his work cut out for him. A new batch of character breakdowns for DC's impending Shazam! (courtesy of That Hashtag Show) reveal that the titular hero will go up against as many as four villains–including three members of the Sivana Family and a baddie whose whole persona is rooted in mystery. The first antagonist Billy Batson/Shazam, played by Chuck and Thor: Ragnarok actor Zachary Levi, will attempt to take down is his arch-nemesis Doctor Thaddeus Bodog Sivana, an \"evil sorcerer who regenerates from death with world domination on his mind.\" Within the DC Comics lore, Doctor Sivana has consistently been portrayed as (unsurprisingly given his title) a doctor of science, so it's interesting to hear that Shazam! will see him cozying up to the magical side of things as he had done in The New 52 Justice League comic series. Mark Strong recently confirmed he's the man behind the nefarious villain, telling ContactMusic, ”I'm playing an evil bastard called Doctor Sivana. They are always the best characters to play, the most fun."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Billy Batson/Shazam\", \"Chuck\", \"Zachary Levi\", \"Doctor Thaddeus Bodog Sivana\", \"Mark Strong\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"DC's\", \"That Hashtag Show\", \"DC Comics\", \"ContactMusic\"]"
},
{
"from": "human",
"value": "What describes Movie in the text?"
},
{
"from": "gpt",
"value": "[\"Shazam!\", \"Thor: Ragnarok\", \"The New 52 Justice League\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Home Comfort isn't something
you should have to worry about. WeCare Protection Plus Plans
ensure the performance of your
home comfort equipment and
provide the highest quality
parts and labor atno extra charge
WeCare Maintenance Plans and Protection Plans for your Heat Pump
If you are worried about how your new heat pump is going to fare through Ontario’s cold winters and hot summers, invest in a WeCare Maintenance or Protection Plan. It provides comprehensive HVAC system coverage with all maintenance and repair work performed by professional technicians from your local ClimateCare member. A WeCare HVAC system maintenance or protection plan covers your heat pump and everything else needed to keep you warm in the winter and cool in the summer. Your local heating and cooling experts are there for seasonal maintenance and – just in case – on call for emergency repairs. Heat Pump Maintenance or Protection Plan
Heat pump systems are typically more energy efficient than traditional oil and gas furnaces. Whether you are using an energy efficient heat pump in conjunction with your main furnace or with a geothermal heat pump for sustainable, low cost heating and cooling, a WeCare Maintenance or Protection Plan will keep your system operating at its best. Routine system maintenance is a sure way to avoid future repairs, reduce energy waste and keep your utility bills low. """<|im_end|>
<|im_start|>assistant
| Home Comfort isn't something
you should have to worry about. WeCare Protection Plus Plans
ensure the performance of your
home comfort equipment and
provide the highest quality
parts and labor atno extra charge
WeCare Maintenance Plans and Protection Plans for your Heat Pump
If you are worried about how your new heat pump is going to fare through Ontario’s cold winters and hot summers, invest in a WeCare Maintenance or Protection Plan. It provides comprehensive HVAC system coverage with all maintenance and repair work performed by professional technicians from your local ClimateCare member. A WeCare HVAC system maintenance or protection plan covers your heat pump and everything else needed to keep you warm in the winter and cool in the summer. Your local heating and cooling experts are there for seasonal maintenance and – just in case – on call for emergency repairs. Heat Pump Maintenance or Protection Plan
Heat pump systems are typically more energy efficient than traditional oil and gas furnaces. Whether you are using an energy efficient heat pump in conjunction with your main furnace or with a geothermal heat pump for sustainable, low cost heating and cooling, a WeCare Maintenance or Protection Plan will keep your system operating at its best. Routine system maintenance is a sure way to avoid future repairs, reduce energy waste and keep your utility bills low. | [
{
"from": "human",
"value": "Text: Home Comfort isn't something\nyou should have to worry about. WeCare Protection Plus Plans\nensure the performance of your\nhome comfort equipment and\nprovide the highest quality\nparts and labor atno extra charge\n\nWeCare Maintenance Plans and Protection Plans for your Heat Pump\n\nIf you are worried about how your new heat pump is going to fare through Ontario’s cold winters and hot summers, invest in a WeCare Maintenance or Protection Plan. It provides comprehensive HVAC system coverage with all maintenance and repair work performed by professional technicians from your local ClimateCare member. A WeCare HVAC system maintenance or protection plan covers your heat pump and everything else needed to keep you warm in the winter and cool in the summer. Your local heating and cooling experts are there for seasonal maintenance and – just in case – on call for emergency repairs. Heat Pump Maintenance or Protection Plan\n\nHeat pump systems are typically more energy efficient than traditional oil and gas furnaces. Whether you are using an energy efficient heat pump in conjunction with your main furnace or with a geothermal heat pump for sustainable, low cost heating and cooling, a WeCare Maintenance or Protection Plan will keep your system operating at its best. Routine system maintenance is a sure way to avoid future repairs, reduce energy waste and keep your utility bills low."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes product in the text?"
},
{
"from": "gpt",
"value": "[\"Home Comfort\", \"WeCare Protection Plus Plans\", \"HVAC system\", \"WeCare Maintenance\", \"Protection Plan\", \"heat pump\", \"oil and gas furnaces\", \"geothermal heat pump\", \"utility bills\"]"
},
{
"from": "human",
"value": "What describes Event in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Company in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes service in the text?"
},
{
"from": "gpt",
"value": "[\"emergency repairs\"]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"ClimateCare member\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Chevel Shepherd
Chevel Shepherd (born June 18, 2002) is an American singer. She is the winner of season 15 of the American talent competition The Voice at the age of 16. On May 26, 2019, Shepherd performed God Bless America before the 103rd running of the Indianapolis 500. Early life
Chevel Shepherd was born on June 18, 2002 in Farmington, New Mexico. Career
In 2018, Shepherd entered the 15th season of The Voice. In her blind audition, she sang "If I Die Young" by The Band Perry. Kelly Clarkson, Jennifer Hudson and Blake Shelton turned, and Chevel chose to be a part of Team Kelly. She made it to the finale and won the competition on December 18, 2018. The Voice (2018)
The Voice performances
Discography
Singles
Awards and nominations
References
External links
- (October 1, 2018)
- (December 17, 2018)
Category:2002 births
Category:21st-century American singers
Category:21st-century American women singers
Category:American female country singers
Category:American country singer-songwriters
Category:American new wave musicians
Category:Living people
Category:People from Farmington, New Mexico
Category:Republic Records artists
Category:Singers from New Mexico
Category:The Voice (franchise) contestants
Category:The Voice (franchise) winners
Category:Universal Music Group artists """<|im_end|>
<|im_start|>assistant
| Chevel Shepherd
Chevel Shepherd (born June 18, 2002) is an American singer. She is the winner of season 15 of the American talent competition The Voice at the age of 16. On May 26, 2019, Shepherd performed God Bless America before the 103rd running of the Indianapolis 500. Early life
Chevel Shepherd was born on June 18, 2002 in Farmington, New Mexico. Career
In 2018, Shepherd entered the 15th season of The Voice. In her blind audition, she sang "If I Die Young" by The Band Perry. Kelly Clarkson, Jennifer Hudson and Blake Shelton turned, and Chevel chose to be a part of Team Kelly. She made it to the finale and won the competition on December 18, 2018. The Voice (2018)
The Voice performances
Discography
Singles
Awards and nominations
References
External links
- (October 1, 2018)
- (December 17, 2018)
Category:2002 births
Category:21st-century American singers
Category:21st-century American women singers
Category:American female country singers
Category:American country singer-songwriters
Category:American new wave musicians
Category:Living people
Category:People from Farmington, New Mexico
Category:Republic Records artists
Category:Singers from New Mexico
Category:The Voice (franchise) contestants
Category:The Voice (franchise) winners
Category:Universal Music Group artists | [
{
"from": "human",
"value": "Text: Chevel Shepherd\n\nChevel Shepherd (born June 18, 2002) is an American singer. She is the winner of season 15 of the American talent competition The Voice at the age of 16. On May 26, 2019, Shepherd performed God Bless America before the 103rd running of the Indianapolis 500. Early life\nChevel Shepherd was born on June 18, 2002 in Farmington, New Mexico. Career\nIn 2018, Shepherd entered the 15th season of The Voice. In her blind audition, she sang \"If I Die Young\" by The Band Perry. Kelly Clarkson, Jennifer Hudson and Blake Shelton turned, and Chevel chose to be a part of Team Kelly. She made it to the finale and won the competition on December 18, 2018. The Voice (2018)\n\nThe Voice performances\n\nDiscography\n\nSingles\n\nAwards and nominations\n\nReferences\n\nExternal links\n - (October 1, 2018)\n - (December 17, 2018)\n\nCategory:2002 births\nCategory:21st-century American singers\nCategory:21st-century American women singers\nCategory:American female country singers\nCategory:American country singer-songwriters\nCategory:American new wave musicians\nCategory:Living people\nCategory:People from Farmington, New Mexico\nCategory:Republic Records artists\nCategory:Singers from New Mexico\nCategory:The Voice (franchise) contestants\nCategory:The Voice (franchise) winners\nCategory:Universal Music Group artists"
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Title in the text?"
},
{
"from": "gpt",
"value": "[\"Discography\", \"Singles\", \"Awards and nominations\"]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Chevel Shepherd\", \"Kelly Clarkson\", \"Jennifer Hudson\", \"Blake Shelton\"]"
},
{
"from": "human",
"value": "What describes Date in the text?"
},
{
"from": "gpt",
"value": "[\"June 18, 2002\", \"May 26, 2019\", \"2018\", \"December 18, 2018\", \"October 1, 2018\", \"December 17, 2018\", \"2002\"]"
},
{
"from": "human",
"value": "What describes Song in the text?"
},
{
"from": "gpt",
"value": "[\"God Bless America\"]"
},
{
"from": "human",
"value": "What describes Number in the text?"
},
{
"from": "gpt",
"value": "[\"season 15\", \"16\", \"the 103rd running\"]"
},
{
"from": "human",
"value": "What describes Event in the text?"
},
{
"from": "gpt",
"value": "[\"Indianapolis 500\"]"
},
{
"from": "human",
"value": "What describes TV Show in the text?"
},
{
"from": "gpt",
"value": "[\"The Voice\", \"The Voice (franchise)\"]"
},
{
"from": "human",
"value": "What describes Company in the text?"
},
{
"from": "gpt",
"value": "[\"Republic Records\", \"Universal Music Group\"]"
},
{
"from": "human",
"value": "What describes City in the text?"
},
{
"from": "gpt",
"value": "[\"Farmington\"]"
},
{
"from": "human",
"value": "What describes Band in the text?"
},
{
"from": "gpt",
"value": "[\"The Band Perry\"]"
},
{
"from": "human",
"value": "What describes Nationality in the text?"
},
{
"from": "gpt",
"value": "[\"American\"]"
},
{
"from": "human",
"value": "What describes product in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Status in the text?"
},
{
"from": "gpt",
"value": "[\"Living people\"]"
},
{
"from": "human",
"value": "What describes State in the text?"
},
{
"from": "gpt",
"value": "[\"New Mexico\"]"
},
{
"from": "human",
"value": "What describes Profession in the text?"
},
{
"from": "gpt",
"value": "[\"21st-century American singers\", \"21st-century American women singers\", \"American female country singers\", \"American country singer-songwriters\", \"American new wave musicians\", \"contestants\", \"winners\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Theresa May is under pressure to admit what she knew about the misfiring of an unarmed Trident missile, three weeks before a parliamentary vote on whether to renew Britain’s flagship nuclear deterrent system. The backlash gathered momentum after a disastrous TV interview, on the BBC’s Andrew Marr Show, in which the Prime Minister was asked four times whether she was aware of the incident – but refused to confirm or deny. Reports in The Sunday Times claim that the launch of an unarmed Trident II D5 missile from a British submarine off the coast of Florida in June malfunctioned. A source told the paper that the missile could have veered off in the wrong direction after being launched and started heading towards America. Mrs May did not mention this test in a speech to MPs before the Commons vote, in which she urged them to back renewal, leading to allegations the malfunction has been covered up
Jeremy Corbyn responded to Ms May’s evasiveness by describing the alleged incident, which took place in July, as a “pretty catastrophic error”. “We understand the Prime Minister chose not to inform Parliament, and instead it came out through the media," he told Sky News. """<|im_end|>
<|im_start|>assistant
| Theresa May is under pressure to admit what she knew about the misfiring of an unarmed Trident missile, three weeks before a parliamentary vote on whether to renew Britain’s flagship nuclear deterrent system. The backlash gathered momentum after a disastrous TV interview, on the BBC’s Andrew Marr Show, in which the Prime Minister was asked four times whether she was aware of the incident – but refused to confirm or deny. Reports in The Sunday Times claim that the launch of an unarmed Trident II D5 missile from a British submarine off the coast of Florida in June malfunctioned. A source told the paper that the missile could have veered off in the wrong direction after being launched and started heading towards America. Mrs May did not mention this test in a speech to MPs before the Commons vote, in which she urged them to back renewal, leading to allegations the malfunction has been covered up
Jeremy Corbyn responded to Ms May’s evasiveness by describing the alleged incident, which took place in July, as a “pretty catastrophic error”. “We understand the Prime Minister chose not to inform Parliament, and instead it came out through the media," he told Sky News. | [
{
"from": "human",
"value": "Text: Theresa May is under pressure to admit what she knew about the misfiring of an unarmed Trident missile, three weeks before a parliamentary vote on whether to renew Britain’s flagship nuclear deterrent system. The backlash gathered momentum after a disastrous TV interview, on the BBC’s Andrew Marr Show, in which the Prime Minister was asked four times whether she was aware of the incident – but refused to confirm or deny. Reports in The Sunday Times claim that the launch of an unarmed Trident II D5 missile from a British submarine off the coast of Florida in June malfunctioned. A source told the paper that the missile could have veered off in the wrong direction after being launched and started heading towards America. Mrs May did not mention this test in a speech to MPs before the Commons vote, in which she urged them to back renewal, leading to allegations the malfunction has been covered up\n\nJeremy Corbyn responded to Ms May’s evasiveness by describing the alleged incident, which took place in July, as a “pretty catastrophic error”. “We understand the Prime Minister chose not to inform Parliament, and instead it came out through the media,\" he told Sky News."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes government body in the text?"
},
{
"from": "gpt",
"value": "[\"Commons\", \"Parliament\"]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Theresa May\", \"Mrs May\", \"Jeremy Corbyn\"]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"Britain\", \"Florida\", \"America\"]"
},
{
"from": "human",
"value": "What describes TV show in the text?"
},
{
"from": "gpt",
"value": "[\"Andrew Marr Show\", \"Sky News\"]"
},
{
"from": "human",
"value": "What describes date in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes weapon in the text?"
},
{
"from": "gpt",
"value": "[\"Trident missile\", \"Trident II D5 missile\"]"
},
{
"from": "human",
"value": "What describes newspaper in the text?"
},
{
"from": "gpt",
"value": "[\"Sunday Times\"]"
},
{
"from": "human",
"value": "What describes gas in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" A man suspected of being a poacher was killed inside Kruger National Park in South Africa last week after coming face-to-face with an angry Cape buffalo. The unnamed 35-year-old, along with two companions, entered the famous park after dark where they managed to stumble across the fearsome beast. While the other two men managed to escape without injury, their friend was trampled to death. Weighing in excess of 1500 pounds, and standing over a meter in height at the shoulder, the Cape buffalo is well known for its foul disposition. That combination of size and temperament can make them extremely dangerous when startled or threatened, and more than 200 human deaths are attributed to the species each year. That number makes them one of the most dangerous creatures in all of Africa, where they are considered to be amongst the “Big 5” of safari animals. What exactly the three men were doing inside the national park after dark is unclear, although officials believe they were there to poach animals of some kind. Poaching has become a major problem for South Africa, where rhinos are being killed at a record pace in order to harvest their horns. Prized for their use in traditional medicines in Asia, those horns are then sold on the black market for as much as $100,000. """<|im_end|>
<|im_start|>assistant
| A man suspected of being a poacher was killed inside Kruger National Park in South Africa last week after coming face-to-face with an angry Cape buffalo. The unnamed 35-year-old, along with two companions, entered the famous park after dark where they managed to stumble across the fearsome beast. While the other two men managed to escape without injury, their friend was trampled to death. Weighing in excess of 1500 pounds, and standing over a meter in height at the shoulder, the Cape buffalo is well known for its foul disposition. That combination of size and temperament can make them extremely dangerous when startled or threatened, and more than 200 human deaths are attributed to the species each year. That number makes them one of the most dangerous creatures in all of Africa, where they are considered to be amongst the “Big 5” of safari animals. What exactly the three men were doing inside the national park after dark is unclear, although officials believe they were there to poach animals of some kind. Poaching has become a major problem for South Africa, where rhinos are being killed at a record pace in order to harvest their horns. Prized for their use in traditional medicines in Asia, those horns are then sold on the black market for as much as $100,000. | [
{
"from": "human",
"value": "Text: A man suspected of being a poacher was killed inside Kruger National Park in South Africa last week after coming face-to-face with an angry Cape buffalo. The unnamed 35-year-old, along with two companions, entered the famous park after dark where they managed to stumble across the fearsome beast. While the other two men managed to escape without injury, their friend was trampled to death. Weighing in excess of 1500 pounds, and standing over a meter in height at the shoulder, the Cape buffalo is well known for its foul disposition. That combination of size and temperament can make them extremely dangerous when startled or threatened, and more than 200 human deaths are attributed to the species each year. That number makes them one of the most dangerous creatures in all of Africa, where they are considered to be amongst the “Big 5” of safari animals. What exactly the three men were doing inside the national park after dark is unclear, although officials believe they were there to poach animals of some kind. Poaching has become a major problem for South Africa, where rhinos are being killed at a record pace in order to harvest their horns. Prized for their use in traditional medicines in Asia, those horns are then sold on the black market for as much as $100,000."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"Kruger National Park\", \"South Africa\", \"Africa\", \"Asia\"]"
},
{
"from": "human",
"value": "What describes Animal in the text?"
},
{
"from": "gpt",
"value": "[\"Cape buffalo\", \"Big 5\", \"rhinos\"]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"35-year-old\"]"
},
{
"from": "human",
"value": "What describes property in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Medical Device in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes process in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Measurement in the text?"
},
{
"from": "gpt",
"value": "[\"1500 pounds\", \"over a meter\", \"200\", \"$100,000\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Putnam, chair of the House Government Reform Subcommittee on Technology, Information Policy, Intergovernmental Relations and the Census, held hearings last week on the results of the first year under FISMA. Although the Office of Management and Budget reported that progress has been made in IT security, most of the 24 executive branch agencies covered by the law fell far short of goals set by OMB. The subcommittee in December gave the government an overall grade of D in IT security based on FISMA reports for 2003. Karen Evans, OMB administrator for electronic government and IT, said the same security weaknesses are found year after year, legacy systems continue to operate with serious weaknesses and agencies still are not adequately prioritizing IT spending. She said OMB has halted fiscal 2004 spending on some IT programs until agencies fix security problems in existing systems. 'Dollars are not moving out until we have the plans,' she said, but she could not say how much money was involved or what projects have been delayed. A lack of individual accountability for compliance was cited several times as a cause of slow progress in security reform. Putnam said he is working with Rep. Tom Davis (R-Va.) to amend the Clinger-Cohen Act 'to explicitly identify information security as a required element of the IT investment management oversight and decision making process.' """<|im_end|>
<|im_start|>assistant
| Putnam, chair of the House Government Reform Subcommittee on Technology, Information Policy, Intergovernmental Relations and the Census, held hearings last week on the results of the first year under FISMA. Although the Office of Management and Budget reported that progress has been made in IT security, most of the 24 executive branch agencies covered by the law fell far short of goals set by OMB. The subcommittee in December gave the government an overall grade of D in IT security based on FISMA reports for 2003. Karen Evans, OMB administrator for electronic government and IT, said the same security weaknesses are found year after year, legacy systems continue to operate with serious weaknesses and agencies still are not adequately prioritizing IT spending. She said OMB has halted fiscal 2004 spending on some IT programs until agencies fix security problems in existing systems. 'Dollars are not moving out until we have the plans,' she said, but she could not say how much money was involved or what projects have been delayed. A lack of individual accountability for compliance was cited several times as a cause of slow progress in security reform. Putnam said he is working with Rep. Tom Davis (R-Va.) to amend the Clinger-Cohen Act 'to explicitly identify information security as a required element of the IT investment management oversight and decision making process.' | [
{
"from": "human",
"value": "Text: Putnam, chair of the House Government Reform Subcommittee on Technology, Information Policy, Intergovernmental Relations and the Census, held hearings last week on the results of the first year under FISMA. Although the Office of Management and Budget reported that progress has been made in IT security, most of the 24 executive branch agencies covered by the law fell far short of goals set by OMB. The subcommittee in December gave the government an overall grade of D in IT security based on FISMA reports for 2003. Karen Evans, OMB administrator for electronic government and IT, said the same security weaknesses are found year after year, legacy systems continue to operate with serious weaknesses and agencies still are not adequately prioritizing IT spending. She said OMB has halted fiscal 2004 spending on some IT programs until agencies fix security problems in existing systems. 'Dollars are not moving out until we have the plans,' she said, but she could not say how much money was involved or what projects have been delayed. A lack of individual accountability for compliance was cited several times as a cause of slow progress in security reform. Putnam said he is working with Rep. Tom Davis (R-Va.) to amend the Clinger-Cohen Act 'to explicitly identify information security as a required element of the IT investment management oversight and decision making process.'"
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes date in the text?"
},
{
"from": "gpt",
"value": "[\"December\", \"year\", \"fiscal 2004\"]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"House Government Reform Subcommittee on Technology, Information Policy, Intergovernmental Relations and the Census\", \"FISMA\", \"Office of Management and Budget\", \"OMB\"]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Putnam\", \"Karen Evans\", \"Rep. Tom Davis\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Yes To™ Cucumbers Hypoallergenic Facial Wipes Customer Reviews
From last-minute trips to late-night drinks, a busy schedule can wreak havoc on your skin care routine. Thankfully, these oil-free towelettes are designed to pick up the slack, keeping your skin fresh and clean even when your sink and bathroom shelf are out of reach. These 98 percent natural wipes pull triple-duty as a cleanser, exfoliator, and moisturizer, all in a handy pocket-sized package. Organic cucumber extract removes dead skin cells and relieves puffiness, while aloe vera soothes and hydrates skin. Green tea’s dual antioxidant and astringent properties help to ease troubled skin and prevent unexpected breakouts. Perfect! We have all had night where we are so tired we'd rather use a refreshing cucumber wipe that takes off make up, product and SWEAT in a few seconds, Especially while getting your girls to finish their night time routine too, and the other sinks are occupied. The cucumber wipes are skin savers, and also a real treat in summer when suddenly other parts of you might benefit from a cucumber wipe on a hot summer day. Even my girls love them. 5
Was this review helpful to you? Yes |
NoWas this review helpful to you? """<|im_end|>
<|im_start|>assistant
| Yes To™ Cucumbers Hypoallergenic Facial Wipes Customer Reviews
From last-minute trips to late-night drinks, a busy schedule can wreak havoc on your skin care routine. Thankfully, these oil-free towelettes are designed to pick up the slack, keeping your skin fresh and clean even when your sink and bathroom shelf are out of reach. These 98 percent natural wipes pull triple-duty as a cleanser, exfoliator, and moisturizer, all in a handy pocket-sized package. Organic cucumber extract removes dead skin cells and relieves puffiness, while aloe vera soothes and hydrates skin. Green tea’s dual antioxidant and astringent properties help to ease troubled skin and prevent unexpected breakouts. Perfect! We have all had night where we are so tired we'd rather use a refreshing cucumber wipe that takes off make up, product and SWEAT in a few seconds, Especially while getting your girls to finish their night time routine too, and the other sinks are occupied. The cucumber wipes are skin savers, and also a real treat in summer when suddenly other parts of you might benefit from a cucumber wipe on a hot summer day. Even my girls love them. 5
Was this review helpful to you? Yes |
NoWas this review helpful to you? | [
{
"from": "human",
"value": "Text: Yes To™ Cucumbers Hypoallergenic Facial Wipes Customer Reviews\n\nFrom last-minute trips to late-night drinks, a busy schedule can wreak havoc on your skin care routine. Thankfully, these oil-free towelettes are designed to pick up the slack, keeping your skin fresh and clean even when your sink and bathroom shelf are out of reach. These 98 percent natural wipes pull triple-duty as a cleanser, exfoliator, and moisturizer, all in a handy pocket-sized package. Organic cucumber extract removes dead skin cells and relieves puffiness, while aloe vera soothes and hydrates skin. Green tea’s dual antioxidant and astringent properties help to ease troubled skin and prevent unexpected breakouts. Perfect! We have all had night where we are so tired we'd rather use a refreshing cucumber wipe that takes off make up, product and SWEAT in a few seconds, Especially while getting your girls to finish their night time routine too, and the other sinks are occupied. The cucumber wipes are skin savers, and also a real treat in summer when suddenly other parts of you might benefit from a cucumber wipe on a hot summer day. Even my girls love them. 5\n\nWas this review helpful to you? Yes |\nNoWas this review helpful to you?"
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Percentage in the text?"
},
{
"from": "gpt",
"value": "[\"98 percent\"]"
},
{
"from": "human",
"value": "What describes Product in the text?"
},
{
"from": "gpt",
"value": "[\"Yes To\\u2122 Cucumbers Hypoallergenic Facial Wipes\"]"
},
{
"from": "human",
"value": "What describes Ingredient in the text?"
},
{
"from": "gpt",
"value": "[\"aloe vera\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" This is exactly what many of us have suspected was going on for the past year. It was, in part, why I chose to wear my support of Bernie Sanders on my sleeve. Even with that, at no time did the Sanders campaign ever even hint at their desire for me to cover a certain topic or angle. Every single story I wrote, I wrote on my own without any such input from the campaign. """<|im_end|>
<|im_start|>assistant
| This is exactly what many of us have suspected was going on for the past year. It was, in part, why I chose to wear my support of Bernie Sanders on my sleeve. Even with that, at no time did the Sanders campaign ever even hint at their desire for me to cover a certain topic or angle. Every single story I wrote, I wrote on my own without any such input from the campaign. | [
{
"from": "human",
"value": "Text: This is exactly what many of us have suspected was going on for the past year. It was, in part, why I chose to wear my support of Bernie Sanders on my sleeve. Even with that, at no time did the Sanders campaign ever even hint at their desire for me to cover a certain topic or angle. Every single story I wrote, I wrote on my own without any such input from the campaign."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"Sanders campaign\"]"
},
{
"from": "human",
"value": "What describes association in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes lipid in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Bernie Sanders\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" A digital painting that I did of a screenshot from a short japanese horror film that I really like called "diet".The videos of me doing this are here: """<|im_end|>
<|im_start|>assistant
| A digital painting that I did of a screenshot from a short japanese horror film that I really like called "diet".The videos of me doing this are here: | [
{
"from": "human",
"value": "Text: A digital painting that I did of a screenshot from a short japanese horror film that I really like called \"diet\".The videos of me doing this are here:"
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes media in the text?"
},
{
"from": "gpt",
"value": "[\"videos\"]"
},
{
"from": "human",
"value": "What describes movie in the text?"
},
{
"from": "gpt",
"value": "[\"japanese horror film\", \"diet\"]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"me\"]"
},
{
"from": "human",
"value": "What describes image in the text?"
},
{
"from": "gpt",
"value": "[\"screenshot\"]"
},
{
"from": "human",
"value": "What describes émission de télévision in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes artwork in the text?"
},
{
"from": "gpt",
"value": "[\"digital painting\"]"
},
{
"from": "human",
"value": "What describes Miscellaneous in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" ? As part of its celebration of the 250th anniversary of the arrival of the first English settlers in what was to become Bridgton, Bridgton Historical Society will host storyteller Jo Radner for a glimpse into that world in her performance of “Colonial Stories: The Tangled Lives of Native Americans and English Settlers.” The stories reveal the way English and Native people in this region saw one another as defenders and trespassers, pursuers and refugees, relatives and aliens, kind neighbors and ruthless destroyers. """<|im_end|>
<|im_start|>assistant
| ? As part of its celebration of the 250th anniversary of the arrival of the first English settlers in what was to become Bridgton, Bridgton Historical Society will host storyteller Jo Radner for a glimpse into that world in her performance of “Colonial Stories: The Tangled Lives of Native Americans and English Settlers.” The stories reveal the way English and Native people in this region saw one another as defenders and trespassers, pursuers and refugees, relatives and aliens, kind neighbors and ruthless destroyers. | [
{
"from": "human",
"value": "Text: ? As part of its celebration of the 250th anniversary of the arrival of the first English settlers in what was to become Bridgton, Bridgton Historical Society will host storyteller Jo Radner for a glimpse into that world in her performance of “Colonial Stories: The Tangled Lives of Native Americans and English Settlers.” The stories reveal the way English and Native people in this region saw one another as defenders and trespassers, pursuers and refugees, relatives and aliens, kind neighbors and ruthless destroyers."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes group in the text?"
},
{
"from": "gpt",
"value": "[\"English settlers\", \"Native Americans\", \"English\"]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Jo Radner\"]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"Bridgton\"]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"Bridgton Historical Society\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" One True Fear
one true fear
dwells in me
a phobia beyond compare
that of being
eaten alive
by gator, shark, or bear
of course this fate
would be made worse
if perhaps I could not see
to become a meal
in the dark
how frightening that would be
and if by chance
the attack occurred
inside some confined space
a buried coffin
a sinking car
a fear I could not face
and what if help
was within reach
if only I could scream
my voice is lost
I’m paralyzed
as if I’m in a dream
pick up the phone
to call for help
hear nothing but dead air
then heavy breathing
oh my God! hello is someone there
should I escape
will i survive
the treatments for the maul
i dread the pills
stuck in my throat
and that noxious cotton ball
so now you know
my one true fear
that has made me such a wreck
nothing worse
than eaten alive
well…perhaps a turtleneck
Like this:
LikeLoading...
Related
About Susan Warren Utley
Susan Warren Utley is a wife and mother living and writing in the shadows of the Blue Ridge Mountains of Virginia. Her stories are inspired by the unexpected twists and turns of real life and by her muse, a feisty Jack Russell Terrier who occasionally answers to the name of Lucy. """<|im_end|>
<|im_start|>assistant
| One True Fear
one true fear
dwells in me
a phobia beyond compare
that of being
eaten alive
by gator, shark, or bear
of course this fate
would be made worse
if perhaps I could not see
to become a meal
in the dark
how frightening that would be
and if by chance
the attack occurred
inside some confined space
a buried coffin
a sinking car
a fear I could not face
and what if help
was within reach
if only I could scream
my voice is lost
I’m paralyzed
as if I’m in a dream
pick up the phone
to call for help
hear nothing but dead air
then heavy breathing
oh my God! hello is someone there
should I escape
will i survive
the treatments for the maul
i dread the pills
stuck in my throat
and that noxious cotton ball
so now you know
my one true fear
that has made me such a wreck
nothing worse
than eaten alive
well…perhaps a turtleneck
Like this:
LikeLoading...
Related
About Susan Warren Utley
Susan Warren Utley is a wife and mother living and writing in the shadows of the Blue Ridge Mountains of Virginia. Her stories are inspired by the unexpected twists and turns of real life and by her muse, a feisty Jack Russell Terrier who occasionally answers to the name of Lucy. | [
{
"from": "human",
"value": "Text: One True Fear\n\none true fear\ndwells in me\na phobia beyond compare\nthat of being\neaten alive\nby gator, shark, or bear\nof course this fate\nwould be made worse\nif perhaps I could not see\nto become a meal\nin the dark\nhow frightening that would be\nand if by chance\nthe attack occurred\ninside some confined space\na buried coffin\na sinking car\na fear I could not face\nand what if help\nwas within reach\nif only I could scream\nmy voice is lost\nI’m paralyzed\nas if I’m in a dream\npick up the phone\nto call for help\nhear nothing but dead air\nthen heavy breathing\noh my God! hello is someone there\nshould I escape\nwill i survive\nthe treatments for the maul\ni dread the pills\nstuck in my throat\nand that noxious cotton ball\nso now you know\nmy one true fear\nthat has made me such a wreck\nnothing worse\nthan eaten alive\nwell…perhaps a turtleneck\n\nLike this:\n\nLikeLoading...\n\nRelated\n\nAbout Susan Warren Utley\n\nSusan Warren Utley is a wife and mother living and writing in the shadows of the Blue Ridge Mountains of Virginia. Her stories are inspired by the unexpected twists and turns of real life and by her muse, a feisty Jack Russell Terrier who occasionally answers to the name of Lucy."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes animal in the text?"
},
{
"from": "gpt",
"value": "[\"gator\", \"shark\", \"bear\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" This is an archived article and the information in the article may be outdated. Please look at the time stamp on the story to see when it was last updated. LOS ANGELES- For one little girl, Adrian Young turned out to be more than a crossing guard. Young became her guardian angel. The crossing guard had just finished her shift at Alexandria Avenue Elementary School in Los Angeles when she heard the girl screaming. “She was like ‘Please don’t let her take me. I don’t know her. She’s not my mom,'” Young told CNN affiliate KABC. “I just told her to grab onto me as tight as she could, and I held onto her and the lady just began to attack me, so I just thought about attacking her to make sure she can’t take this little girl,” Young said. “I kind of went into mother mode … because I couldn’t see myself letting this little girl be taken. I’m just grateful I was there.”
At a public event last week, Los Angeles City Council Member Mitch O’Farrell honored Young for her heroism. “Sometimes superheroes come in small packages,” O’Farrell said, referring to Young’s height. """<|im_end|>
<|im_start|>assistant
| This is an archived article and the information in the article may be outdated. Please look at the time stamp on the story to see when it was last updated. LOS ANGELES- For one little girl, Adrian Young turned out to be more than a crossing guard. Young became her guardian angel. The crossing guard had just finished her shift at Alexandria Avenue Elementary School in Los Angeles when she heard the girl screaming. “She was like ‘Please don’t let her take me. I don’t know her. She’s not my mom,'” Young told CNN affiliate KABC. “I just told her to grab onto me as tight as she could, and I held onto her and the lady just began to attack me, so I just thought about attacking her to make sure she can’t take this little girl,” Young said. “I kind of went into mother mode … because I couldn’t see myself letting this little girl be taken. I’m just grateful I was there.”
At a public event last week, Los Angeles City Council Member Mitch O’Farrell honored Young for her heroism. “Sometimes superheroes come in small packages,” O’Farrell said, referring to Young’s height. | [
{
"from": "human",
"value": "Text: This is an archived article and the information in the article may be outdated. Please look at the time stamp on the story to see when it was last updated. LOS ANGELES- For one little girl, Adrian Young turned out to be more than a crossing guard. Young became her guardian angel. The crossing guard had just finished her shift at Alexandria Avenue Elementary School in Los Angeles when she heard the girl screaming. “She was like ‘Please don’t let her take me. I don’t know her. She’s not my mom,'” Young told CNN affiliate KABC. “I just told her to grab onto me as tight as she could, and I held onto her and the lady just began to attack me, so I just thought about attacking her to make sure she can’t take this little girl,” Young said. “I kind of went into mother mode … because I couldn’t see myself letting this little girl be taken. I’m just grateful I was there.”\n\nAt a public event last week, Los Angeles City Council Member Mitch O’Farrell honored Young for her heroism. “Sometimes superheroes come in small packages,” O’Farrell said, referring to Young’s height."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes disease in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes nationality in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"Los Angeles\"]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Adrian Young\", \"Mitch O\\u2019Farrell\"]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"Alexandria Avenue Elementary School\", \"CNN\", \"KABC\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" HIV cases are seeing the largest surge among gay students in China, according to a report from southeastern China. The report released this month from health authorities in Nanchang, the capital of China’s Jiangxi province, showed that HIV infection rate among students at the city’s universities increased by 43% annually in the past five years. Over 80% of cases involved men-who-have-sex-with-men (MSM). And Nanchang is not the only city that is facing such a trend – more than 100 new cases among students are being reported annually in Beijing; while Shanghai reported 92 students infected with HIV in 2015. Data from China’s Health and Family Planning Commission show that the growth rate of student infections has surpassed that of other groups, with 81.6% of the cases concerning young MSMs who are still schooling. The country’s health authorities are worried about this trend, especially in a country that declassified homosexuality as a mental illness only in 2001. There is also almost no public discussion of gay issues or rights, in any form. Activists, though, attribute this trend to the health authorities’ improper handling of the issue. """<|im_end|>
<|im_start|>assistant
| HIV cases are seeing the largest surge among gay students in China, according to a report from southeastern China. The report released this month from health authorities in Nanchang, the capital of China’s Jiangxi province, showed that HIV infection rate among students at the city’s universities increased by 43% annually in the past five years. Over 80% of cases involved men-who-have-sex-with-men (MSM). And Nanchang is not the only city that is facing such a trend – more than 100 new cases among students are being reported annually in Beijing; while Shanghai reported 92 students infected with HIV in 2015. Data from China’s Health and Family Planning Commission show that the growth rate of student infections has surpassed that of other groups, with 81.6% of the cases concerning young MSMs who are still schooling. The country’s health authorities are worried about this trend, especially in a country that declassified homosexuality as a mental illness only in 2001. There is also almost no public discussion of gay issues or rights, in any form. Activists, though, attribute this trend to the health authorities’ improper handling of the issue. | [
{
"from": "human",
"value": "Text: HIV cases are seeing the largest surge among gay students in China, according to a report from southeastern China. The report released this month from health authorities in Nanchang, the capital of China’s Jiangxi province, showed that HIV infection rate among students at the city’s universities increased by 43% annually in the past five years. Over 80% of cases involved men-who-have-sex-with-men (MSM). And Nanchang is not the only city that is facing such a trend – more than 100 new cases among students are being reported annually in Beijing; while Shanghai reported 92 students infected with HIV in 2015. Data from China’s Health and Family Planning Commission show that the growth rate of student infections has surpassed that of other groups, with 81.6% of the cases concerning young MSMs who are still schooling. The country’s health authorities are worried about this trend, especially in a country that declassified homosexuality as a mental illness only in 2001. There is also almost no public discussion of gay issues or rights, in any form. Activists, though, attribute this trend to the health authorities’ improper handling of the issue."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes disease in the text?"
},
{
"from": "gpt",
"value": "[\"HIV\"]"
},
{
"from": "human",
"value": "What describes License in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes group in the text?"
},
{
"from": "gpt",
"value": "[\"students\", \"men-who-have-sex-with-men\", \"young MSMs\", \"Activists\"]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"China\\u2019s Health and Family Planning Commission\", \"health authorities\"]"
},
{
"from": "human",
"value": "What describes city in the text?"
},
{
"from": "gpt",
"value": "[\"Nanchang\", \"Beijing\", \"Shanghai\"]"
},
{
"from": "human",
"value": "What describes country in the text?"
},
{
"from": "gpt",
"value": "[\"China\"]"
},
{
"from": "human",
"value": "What describes animal in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes region in the text?"
},
{
"from": "gpt",
"value": "[\"southeastern China\", \"Jiangxi province\"]"
},
{
"from": "human",
"value": "What describes concept in the text?"
},
{
"from": "gpt",
"value": "[\"homosexuality\", \"mental illness\", \"gay issues\", \"rights\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Transcript for Tesla in autopilot mode bursts into flames
We have that stunning scene that was caught on tape now, a Tesla crashing, bursting into a ball of flames. Thankfully everyone made it out there were serious injuries though. There are certain because the car was reportedly in auto pilot before the wreck. Paula Faris is here with that Good morning, everyone. That video is something, isn't it? The driver was traveling 60 miles an hour when he slammed into a parked tow truck that he claims he didn't see and says his hands were on the wheel at the time of that incident. This morning, an alarming incident involving an Tesla, this time on a packed highway in Russian. A Tesla model 3 electric car became engulfed in flames after it crashed into a parked tow truck on the highway at more than 60 miles per hour. This video which aired on Russian state TV showed the moments after the crash when the Tesla erupts. Reports out of Moscow now say the owner was in drive sass mode, holding the steering wheel and says he did not see that the driver escaped before the flames erupted along with his two children who were rushed to the hospital grateful to be alive. Tesla features an auto pilot mode which is not a self-driving system. """<|im_end|>
<|im_start|>assistant
| Transcript for Tesla in autopilot mode bursts into flames
We have that stunning scene that was caught on tape now, a Tesla crashing, bursting into a ball of flames. Thankfully everyone made it out there were serious injuries though. There are certain because the car was reportedly in auto pilot before the wreck. Paula Faris is here with that Good morning, everyone. That video is something, isn't it? The driver was traveling 60 miles an hour when he slammed into a parked tow truck that he claims he didn't see and says his hands were on the wheel at the time of that incident. This morning, an alarming incident involving an Tesla, this time on a packed highway in Russian. A Tesla model 3 electric car became engulfed in flames after it crashed into a parked tow truck on the highway at more than 60 miles per hour. This video which aired on Russian state TV showed the moments after the crash when the Tesla erupts. Reports out of Moscow now say the owner was in drive sass mode, holding the steering wheel and says he did not see that the driver escaped before the flames erupted along with his two children who were rushed to the hospital grateful to be alive. Tesla features an auto pilot mode which is not a self-driving system. | [
{
"from": "human",
"value": "Text: Transcript for Tesla in autopilot mode bursts into flames\n\nWe have that stunning scene that was caught on tape now, a Tesla crashing, bursting into a ball of flames. Thankfully everyone made it out there were serious injuries though. There are certain because the car was reportedly in auto pilot before the wreck. Paula Faris is here with that Good morning, everyone. That video is something, isn't it? The driver was traveling 60 miles an hour when he slammed into a parked tow truck that he claims he didn't see and says his hands were on the wheel at the time of that incident. This morning, an alarming incident involving an Tesla, this time on a packed highway in Russian. A Tesla model 3 electric car became engulfed in flames after it crashed into a parked tow truck on the highway at more than 60 miles per hour. This video which aired on Russian state TV showed the moments after the crash when the Tesla erupts. Reports out of Moscow now say the owner was in drive sass mode, holding the steering wheel and says he did not see that the driver escaped before the flames erupted along with his two children who were rushed to the hospital grateful to be alive. Tesla features an auto pilot mode which is not a self-driving system."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes album section in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"Tesla\"]"
},
{
"from": "human",
"value": "What describes Technology in the text?"
},
{
"from": "gpt",
"value": "[\"auto pilot mode\", \"drive sass mode\", \"steering wheel\"]"
},
{
"from": "human",
"value": "What describes company in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"Russian\", \"Moscow\"]"
},
{
"from": "human",
"value": "What describes disease in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Product in the text?"
},
{
"from": "gpt",
"value": "[\"Tesla model 3 electric car\"]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Paula Faris\"]"
},
{
"from": "human",
"value": "What describes Anatomical Structure in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Paul Ratnasamy
Paul Ratnasamy is an Indian catalyst scientist, INSA Srinivasa Ramanujan Research Professor and a former director of National Chemical Laboratory of the Council of Scientific and Industrial Research (CSIR). He was honored by the Government of India, in 2001, with one of the highest Indian civilian awards of Padma Shri. Biography
Paul Ratnasamy was born on 11 June 1942 in Chennai, in the Indian state of Tamil Nadu. He graduated (BSc) in chemistry from Loyola College, Chennai in 1961 and continued his studies at the same institution to secure MSc in 1963 and PhD on his thesis, Catalytic properties of alumina based materials in 1967. His post doctoral research was at the Clarkson College of Technology, New York from 1967 to 1969 under the guidance of Prof. D. Rosenthal and moved to Belgium for further research as a research associate of J. J. Friplat at the Catholic University of Leuven where he stayed till 1972. His professional career started at the Indian Institute of Petroleum (IIP) in 1972 where he worked till 1979. During this period, he secured a post graduate diploma in Industrial Administration and Management from the British Institute of Commerce in 1975 and had a stint at the Ludwig Maximilian University of Munich as the Senior Humboldt Fellow under H. Knozinger. """<|im_end|>
<|im_start|>assistant
| Paul Ratnasamy
Paul Ratnasamy is an Indian catalyst scientist, INSA Srinivasa Ramanujan Research Professor and a former director of National Chemical Laboratory of the Council of Scientific and Industrial Research (CSIR). He was honored by the Government of India, in 2001, with one of the highest Indian civilian awards of Padma Shri. Biography
Paul Ratnasamy was born on 11 June 1942 in Chennai, in the Indian state of Tamil Nadu. He graduated (BSc) in chemistry from Loyola College, Chennai in 1961 and continued his studies at the same institution to secure MSc in 1963 and PhD on his thesis, Catalytic properties of alumina based materials in 1967. His post doctoral research was at the Clarkson College of Technology, New York from 1967 to 1969 under the guidance of Prof. D. Rosenthal and moved to Belgium for further research as a research associate of J. J. Friplat at the Catholic University of Leuven where he stayed till 1972. His professional career started at the Indian Institute of Petroleum (IIP) in 1972 where he worked till 1979. During this period, he secured a post graduate diploma in Industrial Administration and Management from the British Institute of Commerce in 1975 and had a stint at the Ludwig Maximilian University of Munich as the Senior Humboldt Fellow under H. Knozinger. | [
{
"from": "human",
"value": "Text: Paul Ratnasamy\n\nPaul Ratnasamy is an Indian catalyst scientist, INSA Srinivasa Ramanujan Research Professor and a former director of National Chemical Laboratory of the Council of Scientific and Industrial Research (CSIR). He was honored by the Government of India, in 2001, with one of the highest Indian civilian awards of Padma Shri. Biography\nPaul Ratnasamy was born on 11 June 1942 in Chennai, in the Indian state of Tamil Nadu. He graduated (BSc) in chemistry from Loyola College, Chennai in 1961 and continued his studies at the same institution to secure MSc in 1963 and PhD on his thesis, Catalytic properties of alumina based materials in 1967. His post doctoral research was at the Clarkson College of Technology, New York from 1967 to 1969 under the guidance of Prof. D. Rosenthal and moved to Belgium for further research as a research associate of J. J. Friplat at the Catholic University of Leuven where he stayed till 1972. His professional career started at the Indian Institute of Petroleum (IIP) in 1972 where he worked till 1979. During this period, he secured a post graduate diploma in Industrial Administration and Management from the British Institute of Commerce in 1975 and had a stint at the Ludwig Maximilian University of Munich as the Senior Humboldt Fellow under H. Knozinger."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Job Title in the text?"
},
{
"from": "gpt",
"value": "[\"INSA Srinivasa Ramanujan Research Professor\", \"Senior Humboldt Fellow\"]"
},
{
"from": "human",
"value": "What describes Country in the text?"
},
{
"from": "gpt",
"value": "[\"Belgium\"]"
},
{
"from": "human",
"value": "What describes date in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes email address in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes State in the text?"
},
{
"from": "gpt",
"value": "[\"Tamil Nadu\"]"
},
{
"from": "human",
"value": "What describes Facility in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes flight in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes measurement in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes City in the text?"
},
{
"from": "gpt",
"value": "[\"Chennai\", \"New York\"]"
},
{
"from": "human",
"value": "What describes type of file in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Paul Ratnasamy\", \"Prof. D. Rosenthal\", \"J. J. Friplat\", \"H. Knozinger\"]"
},
{
"from": "human",
"value": "What describes Award in the text?"
},
{
"from": "gpt",
"value": "[\"Padma Shri\"]"
},
{
"from": "human",
"value": "What describes Government in the text?"
},
{
"from": "gpt",
"value": "[\"Government of India\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"National Chemical Laboratory\", \"Council of Scientific and Industrial Research\", \"Indian Institute of Petroleum\"]"
},
{
"from": "human",
"value": "What describes Nationality in the text?"
},
{
"from": "gpt",
"value": "[\"Indian\"]"
},
{
"from": "human",
"value": "What describes Educational Institution in the text?"
},
{
"from": "gpt",
"value": "[\"Loyola College\", \"Clarkson College of Technology\", \"Catholic University of Leuven\", \"British Institute of Commerce\", \"Ludwig Maximilian University of Munich\"]"
},
{
"from": "human",
"value": "What describes School in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Q:
When making a Gradient Ramp can the Start/Stop be relative to the object? When making a Gradient Ramp in After Effects is there a convenient way for it to be tied to the object its applied to. I'm sure with Expressions I could somehow Pickwhip it together and adjust the code, but is there any check box or something more efficient? It's a bit tedious when I make a Gradient Ramp and then have to move the object the Gradient Ramp gets left behind. Thinking there must be a better way. Here's a screencap to try and illustrate. I decided to switch the order so it will be Blue on top then Red. I changed the position of the bottom two bars but the Gradient got left behind. That's why they look flat. A:
For a situation like this, your best approach is to pre-compose individual timelines consisting of just the bar, one for each color of bar in the final composition. You can use a ramp or a fill effect in the pre-comps, since you're rendering the effect only once. Pre-comps are the equivalent of symbols in Ai, Fl or Edge Animate, or of Smart Objects in Photoshop.-- You can place multiple instances, and any change to the original updates all of them at once. """<|im_end|>
<|im_start|>assistant
| Q:
When making a Gradient Ramp can the Start/Stop be relative to the object? When making a Gradient Ramp in After Effects is there a convenient way for it to be tied to the object its applied to. I'm sure with Expressions I could somehow Pickwhip it together and adjust the code, but is there any check box or something more efficient? It's a bit tedious when I make a Gradient Ramp and then have to move the object the Gradient Ramp gets left behind. Thinking there must be a better way. Here's a screencap to try and illustrate. I decided to switch the order so it will be Blue on top then Red. I changed the position of the bottom two bars but the Gradient got left behind. That's why they look flat. A:
For a situation like this, your best approach is to pre-compose individual timelines consisting of just the bar, one for each color of bar in the final composition. You can use a ramp or a fill effect in the pre-comps, since you're rendering the effect only once. Pre-comps are the equivalent of symbols in Ai, Fl or Edge Animate, or of Smart Objects in Photoshop.-- You can place multiple instances, and any change to the original updates all of them at once. | [
{
"from": "human",
"value": "Text: Q:\n\nWhen making a Gradient Ramp can the Start/Stop be relative to the object? When making a Gradient Ramp in After Effects is there a convenient way for it to be tied to the object its applied to. I'm sure with Expressions I could somehow Pickwhip it together and adjust the code, but is there any check box or something more efficient? It's a bit tedious when I make a Gradient Ramp and then have to move the object the Gradient Ramp gets left behind. Thinking there must be a better way. Here's a screencap to try and illustrate. I decided to switch the order so it will be Blue on top then Red. I changed the position of the bottom two bars but the Gradient got left behind. That's why they look flat. A:\n\nFor a situation like this, your best approach is to pre-compose individual timelines consisting of just the bar, one for each color of bar in the final composition. You can use a ramp or a fill effect in the pre-comps, since you're rendering the effect only once. Pre-comps are the equivalent of symbols in Ai, Fl or Edge Animate, or of Smart Objects in Photoshop.-- You can place multiple instances, and any change to the original updates all of them at once."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes tool in the text?"
},
{
"from": "gpt",
"value": "[\"Expressions\", \"pre-compose\"]"
},
{
"from": "human",
"value": "What describes effect in the text?"
},
{
"from": "gpt",
"value": "[\"fill effect\"]"
},
{
"from": "human",
"value": "What describes object in the text?"
},
{
"from": "gpt",
"value": "[\"Gradient Ramp\", \"screencap\", \"timelines\", \"bar\", \"pre-comps\", \"symbols\", \"Smart Objects\"]"
},
{
"from": "human",
"value": "What describes color in the text?"
},
{
"from": "gpt",
"value": "[\"Blue\", \"Red\"]"
},
{
"from": "human",
"value": "What describes software in the text?"
},
{
"from": "gpt",
"value": "[\"After Effects\", \"Ai\", \"Fl\", \"Edge Animate\", \"Photoshop\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Q:
Fragments vs shared preferences
Can any one differentiate Fragments and shared preferences on android. Because,
Right now i have a screen which contains an edittext box and button,if i click that button after giving proper input it should return some data according to user's input on the textbox which is on the same screen, the resultant value is from the webservice by consuming it(SOAP method)... Here my problem is, i want to show that answer on the tabhost's tab which is on the next screen...Have i to use fragment concept or shared preference concept? Can any one help me? Thanks for your precious time......
A:
Those concepts are not related. SharedPreferences is used to save data in a persistent way. Fragments are re-usable UI components. http://developer.android.com/guide/components/fragments.html
http://developer.android.com/reference/android/content/SharedPreferences.html """<|im_end|>
<|im_start|>assistant
| Q:
Fragments vs shared preferences
Can any one differentiate Fragments and shared preferences on android. Because,
Right now i have a screen which contains an edittext box and button,if i click that button after giving proper input it should return some data according to user's input on the textbox which is on the same screen, the resultant value is from the webservice by consuming it(SOAP method)... Here my problem is, i want to show that answer on the tabhost's tab which is on the next screen...Have i to use fragment concept or shared preference concept? Can any one help me? Thanks for your precious time......
A:
Those concepts are not related. SharedPreferences is used to save data in a persistent way. Fragments are re-usable UI components. http://developer.android.com/guide/components/fragments.html
http://developer.android.com/reference/android/content/SharedPreferences.html | [
{
"from": "human",
"value": "Text: Q:\n\nFragments vs shared preferences\n\nCan any one differentiate Fragments and shared preferences on android. Because,\nRight now i have a screen which contains an edittext box and button,if i click that button after giving proper input it should return some data according to user's input on the textbox which is on the same screen, the resultant value is from the webservice by consuming it(SOAP method)... Here my problem is, i want to show that answer on the tabhost's tab which is on the next screen...Have i to use fragment concept or shared preference concept? Can any one help me? Thanks for your precious time......\n\nA:\n\nThose concepts are not related. SharedPreferences is used to save data in a persistent way. Fragments are re-usable UI components. http://developer.android.com/guide/components/fragments.html\nhttp://developer.android.com/reference/android/content/SharedPreferences.html"
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes concept in the text?"
},
{
"from": "gpt",
"value": "[\"SharedPreferences\"]"
},
{
"from": "human",
"value": "What describes measurement in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes UI components in the text?"
},
{
"from": "gpt",
"value": "[\"Fragments\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Contrary to the Obama Administration's claims, the Trans Pacific Partnership (TPP) could boost China's standing as a global leader in the development, production and sale of affordable generic drugs. The Administration claims that the TPP is imperative in the race for "U.S.-style" economic and political world dominance, triumphing over China as a threatening competitor, and is pushing Congress hard to pass a "Fast-Track" bill now to grease the skids for approval down the road of the 12-nation TPP. But when it comes to prescription drugs, the free trade mantra that trade agreements produce competition, which results in more affordable access to products for consumers worldwide, really falls apart. In the case of the TPP, as in with previous trade agreements, intellectual property and other trade rules give brand name pharmaceutical companies, "Big Pharma," global monopoly rights to produce prescription drugs for years, locking out potentially competing generic companies from producing affordable drugs. Prescription drugs, already unaffordable for many, would be increasingly expensive for consumers in the U.S. and worldwide under the TPP. Enter China. In 2012, China amended its patent law through the "Measures for Compulsory Licensing to Patent Implementation." """<|im_end|>
<|im_start|>assistant
| Contrary to the Obama Administration's claims, the Trans Pacific Partnership (TPP) could boost China's standing as a global leader in the development, production and sale of affordable generic drugs. The Administration claims that the TPP is imperative in the race for "U.S.-style" economic and political world dominance, triumphing over China as a threatening competitor, and is pushing Congress hard to pass a "Fast-Track" bill now to grease the skids for approval down the road of the 12-nation TPP. But when it comes to prescription drugs, the free trade mantra that trade agreements produce competition, which results in more affordable access to products for consumers worldwide, really falls apart. In the case of the TPP, as in with previous trade agreements, intellectual property and other trade rules give brand name pharmaceutical companies, "Big Pharma," global monopoly rights to produce prescription drugs for years, locking out potentially competing generic companies from producing affordable drugs. Prescription drugs, already unaffordable for many, would be increasingly expensive for consumers in the U.S. and worldwide under the TPP. Enter China. In 2012, China amended its patent law through the "Measures for Compulsory Licensing to Patent Implementation." | [
{
"from": "human",
"value": "Text: Contrary to the Obama Administration's claims, the Trans Pacific Partnership (TPP) could boost China's standing as a global leader in the development, production and sale of affordable generic drugs. The Administration claims that the TPP is imperative in the race for \"U.S.-style\" economic and political world dominance, triumphing over China as a threatening competitor, and is pushing Congress hard to pass a \"Fast-Track\" bill now to grease the skids for approval down the road of the 12-nation TPP. But when it comes to prescription drugs, the free trade mantra that trade agreements produce competition, which results in more affordable access to products for consumers worldwide, really falls apart. In the case of the TPP, as in with previous trade agreements, intellectual property and other trade rules give brand name pharmaceutical companies, \"Big Pharma,\" global monopoly rights to produce prescription drugs for years, locking out potentially competing generic companies from producing affordable drugs. Prescription drugs, already unaffordable for many, would be increasingly expensive for consumers in the U.S. and worldwide under the TPP. Enter China. In 2012, China amended its patent law through the \"Measures for Compulsory Licensing to Patent Implementation.\""
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Product in the text?"
},
{
"from": "gpt",
"value": "[\"prescription drugs\"]"
},
{
"from": "human",
"value": "What describes Policy in the text?"
},
{
"from": "gpt",
"value": "[\"Fast-Track\", \"free trade mantra\", \"trade agreements\", \"competition\", \"affordable access\", \"intellectual property\", \"trade rules\", \"global monopoly rights\", \"patent law\", \"Measures for Compulsory Licensing to Patent Implementation\"]"
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"China\", \"U.S.\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"Obama Administration\", \"Trans Pacific Partnership\", \"Congress\", \"12-nation TPP\", \"brand name pharmaceutical companies\", \"Big Pharma\", \"generic companies\"]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"consumers worldwide\"]"
},
{
"from": "human",
"value": "What describes Date in the text?"
},
{
"from": "gpt",
"value": "[\"2012\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" The first ever mixed race Miss Japan has been forced to defend herself against accusations that she 'isn't Japanese enough' because her father is African-American. Ariana Miyamoto was born and raised in Nagasaki, speaks fluent Japanese, and has been chosen to represent Japan in the Miss Universe pageant. But the 20-year-old beauty queen used her first television appearance after her selection to apologetically explain to reporters that while she doesn't 'look Japanese' on the outside, on the inside, there are 'many Japanese things about her'. Ariana Miyamoto was born and raised in Nagasaki, speaks fluent Japanese, and has been selected to represent Japan in the Miss Universe pageant
But she has been forced to defend herself against accusations that she 'isn't Japanese enough' because her father is African-American
She has faced a storm of criticism that she is 'not Japanese enough' to represent the country because although her mother is Japanese, her father is American. In Japan, Miyamoto is called a 'hafu', a Japanese term used to refer to someone who is biracial. There is a feeling in the country, one of the least ethnically diverse in the world, that mixed-race people are not fully Japanese. Website Byokan Sunday and Naver Matome report that Twitter users have posted comments such as: 'Is it okay to select a hafu to represent Japan?' """<|im_end|>
<|im_start|>assistant
| The first ever mixed race Miss Japan has been forced to defend herself against accusations that she 'isn't Japanese enough' because her father is African-American. Ariana Miyamoto was born and raised in Nagasaki, speaks fluent Japanese, and has been chosen to represent Japan in the Miss Universe pageant. But the 20-year-old beauty queen used her first television appearance after her selection to apologetically explain to reporters that while she doesn't 'look Japanese' on the outside, on the inside, there are 'many Japanese things about her'. Ariana Miyamoto was born and raised in Nagasaki, speaks fluent Japanese, and has been selected to represent Japan in the Miss Universe pageant
But she has been forced to defend herself against accusations that she 'isn't Japanese enough' because her father is African-American
She has faced a storm of criticism that she is 'not Japanese enough' to represent the country because although her mother is Japanese, her father is American. In Japan, Miyamoto is called a 'hafu', a Japanese term used to refer to someone who is biracial. There is a feeling in the country, one of the least ethnically diverse in the world, that mixed-race people are not fully Japanese. Website Byokan Sunday and Naver Matome report that Twitter users have posted comments such as: 'Is it okay to select a hafu to represent Japan?' | [
{
"from": "human",
"value": "Text: The first ever mixed race Miss Japan has been forced to defend herself against accusations that she 'isn't Japanese enough' because her father is African-American. Ariana Miyamoto was born and raised in Nagasaki, speaks fluent Japanese, and has been chosen to represent Japan in the Miss Universe pageant. But the 20-year-old beauty queen used her first television appearance after her selection to apologetically explain to reporters that while she doesn't 'look Japanese' on the outside, on the inside, there are 'many Japanese things about her'. Ariana Miyamoto was born and raised in Nagasaki, speaks fluent Japanese, and has been selected to represent Japan in the Miss Universe pageant\n\nBut she has been forced to defend herself against accusations that she 'isn't Japanese enough' because her father is African-American\n\nShe has faced a storm of criticism that she is 'not Japanese enough' to represent the country because although her mother is Japanese, her father is American. In Japan, Miyamoto is called a 'hafu', a Japanese term used to refer to someone who is biracial. There is a feeling in the country, one of the least ethnically diverse in the world, that mixed-race people are not fully Japanese. Website Byokan Sunday and Naver Matome report that Twitter users have posted comments such as: 'Is it okay to select a hafu to represent Japan?'"
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Ariana Miyamoto\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"Miss Universe\"]"
},
{
"from": "human",
"value": "What describes Website in the text?"
},
{
"from": "gpt",
"value": "[\"Byokan Sunday\", \"Naver Matome\", \"Twitter\"]"
},
{
"from": "human",
"value": "What describes Term in the text?"
},
{
"from": "gpt",
"value": "[\"hafu\"]"
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"Japan\", \"Nagasaki\"]"
},
{
"from": "human",
"value": "What describes Nationality in the text?"
},
{
"from": "gpt",
"value": "[\"African-American\", \"Japanese\", \"American\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Pages
Sunday, February 28, 2010
“Society’s moved on since then,” is one of the worst constructs trotted out, the idea that not trying at all is somehow modern, in keeping with our onwards and upwards path, that commitment, fidelity, genuinely trying, great tolerance and willingness to be elastic enough because you want it to work – that that is somehow old-fashioned, something your grandparents did and then you convince yourself [or let others convince you] that they weren’t happy, on the grounds that you know of strife they had in their marriages." Yes, that is an appalling construct, but it goes even further than that: the thinking class of humanity has evolved on an ethical level beyond the mere mortal of say, the onset of the Age of Aquarius. The Darwinian notion is pushed on a more physical level in television series as The X-men and Mutant X. It is somehow suggested that reality itself has evolved. That the laws of ordinary physics somehow no longer apply. This is possible because the postmodern mind rejects objective reality. Rather, they reason from the premise that each human being lives in his own subjectively created reality: to each his own 'narrative', everyone his own Master of the Universe, the New Reality of "the smart set". """<|im_end|>
<|im_start|>assistant
| Pages
Sunday, February 28, 2010
“Society’s moved on since then,” is one of the worst constructs trotted out, the idea that not trying at all is somehow modern, in keeping with our onwards and upwards path, that commitment, fidelity, genuinely trying, great tolerance and willingness to be elastic enough because you want it to work – that that is somehow old-fashioned, something your grandparents did and then you convince yourself [or let others convince you] that they weren’t happy, on the grounds that you know of strife they had in their marriages." Yes, that is an appalling construct, but it goes even further than that: the thinking class of humanity has evolved on an ethical level beyond the mere mortal of say, the onset of the Age of Aquarius. The Darwinian notion is pushed on a more physical level in television series as The X-men and Mutant X. It is somehow suggested that reality itself has evolved. That the laws of ordinary physics somehow no longer apply. This is possible because the postmodern mind rejects objective reality. Rather, they reason from the premise that each human being lives in his own subjectively created reality: to each his own 'narrative', everyone his own Master of the Universe, the New Reality of "the smart set". | [
{
"from": "human",
"value": "Text: Pages\n\nSunday, February 28, 2010\n\n“Society’s moved on since then,” is one of the worst constructs trotted out, the idea that not trying at all is somehow modern, in keeping with our onwards and upwards path, that commitment, fidelity, genuinely trying, great tolerance and willingness to be elastic enough because you want it to work – that that is somehow old-fashioned, something your grandparents did and then you convince yourself [or let others convince you] that they weren’t happy, on the grounds that you know of strife they had in their marriages.\" Yes, that is an appalling construct, but it goes even further than that: the thinking class of humanity has evolved on an ethical level beyond the mere mortal of say, the onset of the Age of Aquarius. The Darwinian notion is pushed on a more physical level in television series as The X-men and Mutant X. It is somehow suggested that reality itself has evolved. That the laws of ordinary physics somehow no longer apply. This is possible because the postmodern mind rejects objective reality. Rather, they reason from the premise that each human being lives in his own subjectively created reality: to each his own 'narrative', everyone his own Master of the Universe, the New Reality of \"the smart set\"."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Method in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes group in the text?"
},
{
"from": "gpt",
"value": "[\"human being\", \"smart set\"]"
},
{
"from": "human",
"value": "What describes concept in the text?"
},
{
"from": "gpt",
"value": "[\"postmodern mind\", \"objective reality\", \"Master of the Universe\", \"New Reality\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes title in the text?"
},
{
"from": "gpt",
"value": "[\"The X-men\", \"Mutant X\"]"
},
{
"from": "human",
"value": "What describes technology in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes date in the text?"
},
{
"from": "gpt",
"value": "[\"February 28, 2010\"]"
},
{
"from": "human",
"value": "What describes event in the text?"
},
{
"from": "gpt",
"value": "[\"Age of Aquarius\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Juan Giner
Juan Giner (born 28 July 1978) is a former professional tennis player from Spain. Biography
Giner, son of Juan and Maria-Dolores, was born in Cullera, a town 40 km from Valencia. He began playing tennis aged 10 and trained with other juniors including Marat Safin in Valencia. His best performance as a junior came at the 1996 Orange Bowl where he made the quarter-finals. In the late 1990s he started competing professionally and in his early satellite career had wins over Juan Carlos Ferrero, Gastón Gaudio and a young Rafael Nadal, who he beat twice in a week at a Spanish tournament in 2001. At Challenger level he won one title, the doubles at Antwerp in 2001, partnering Canada's Jerry Turek. In 2002 he made the quarter-finals at the Romanian Open, an ATP Tour tournament, which he played as a qualifier. He beat Željko Krajan and Irakli Labadze, before being eliminated by top seed Andrei Pavel. He played the qualifying rounds at three Grand Slam tournaments in 2003 and retired from professional tennis in 2005. Now a coach, Giner runs a tennis club in his native Cullera. Formerly part of the coaching team of Sara Errani, he has also coached David Sánchez and Andrea Arnaboldi. """<|im_end|>
<|im_start|>assistant
| Juan Giner
Juan Giner (born 28 July 1978) is a former professional tennis player from Spain. Biography
Giner, son of Juan and Maria-Dolores, was born in Cullera, a town 40 km from Valencia. He began playing tennis aged 10 and trained with other juniors including Marat Safin in Valencia. His best performance as a junior came at the 1996 Orange Bowl where he made the quarter-finals. In the late 1990s he started competing professionally and in his early satellite career had wins over Juan Carlos Ferrero, Gastón Gaudio and a young Rafael Nadal, who he beat twice in a week at a Spanish tournament in 2001. At Challenger level he won one title, the doubles at Antwerp in 2001, partnering Canada's Jerry Turek. In 2002 he made the quarter-finals at the Romanian Open, an ATP Tour tournament, which he played as a qualifier. He beat Željko Krajan and Irakli Labadze, before being eliminated by top seed Andrei Pavel. He played the qualifying rounds at three Grand Slam tournaments in 2003 and retired from professional tennis in 2005. Now a coach, Giner runs a tennis club in his native Cullera. Formerly part of the coaching team of Sara Errani, he has also coached David Sánchez and Andrea Arnaboldi. | [
{
"from": "human",
"value": "Text: Juan Giner\n\nJuan Giner (born 28 July 1978) is a former professional tennis player from Spain. Biography\nGiner, son of Juan and Maria-Dolores, was born in Cullera, a town 40 km from Valencia. He began playing tennis aged 10 and trained with other juniors including Marat Safin in Valencia. His best performance as a junior came at the 1996 Orange Bowl where he made the quarter-finals. In the late 1990s he started competing professionally and in his early satellite career had wins over Juan Carlos Ferrero, Gastón Gaudio and a young Rafael Nadal, who he beat twice in a week at a Spanish tournament in 2001. At Challenger level he won one title, the doubles at Antwerp in 2001, partnering Canada's Jerry Turek. In 2002 he made the quarter-finals at the Romanian Open, an ATP Tour tournament, which he played as a qualifier. He beat Željko Krajan and Irakli Labadze, before being eliminated by top seed Andrei Pavel. He played the qualifying rounds at three Grand Slam tournaments in 2003 and retired from professional tennis in 2005. Now a coach, Giner runs a tennis club in his native Cullera. Formerly part of the coaching team of Sara Errani, he has also coached David Sánchez and Andrea Arnaboldi."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"Spain\", \"Cullera\", \"Valencia\", \"Canada\", \"Antwerp\"]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Juan Giner\", \"Marat Safin\", \"Juan Carlos Ferrero\", \"Gast\\u00f3n Gaudio\", \"Rafael Nadal\", \"Jerry Turek\", \"\\u017deljko Krajan\", \"Irakli Labadze\", \"Andrei Pavel\", \"Sara Errani\", \"David S\\u00e1nchez\", \"Andrea Arnaboldi\"]"
},
{
"from": "human",
"value": "What describes Event in the text?"
},
{
"from": "gpt",
"value": "[\"Orange Bowl\", \"Romanian Open\", \"Grand Slam\"]"
},
{
"from": "human",
"value": "What describes concept in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Conducting business in China. Chinese culture is governed by an ancient set of values. Despite the gradual infiltration of Western culture, these historical practices remain highly visible in all interactions between Chinese people. For Western companies to set up and maintain viable businesses in China, it is essential that they have an understanding of Chinese heritage. This article identifies key elements of Chinese customs and business practices and explains their significance. """<|im_end|>
<|im_start|>assistant
| Conducting business in China. Chinese culture is governed by an ancient set of values. Despite the gradual infiltration of Western culture, these historical practices remain highly visible in all interactions between Chinese people. For Western companies to set up and maintain viable businesses in China, it is essential that they have an understanding of Chinese heritage. This article identifies key elements of Chinese customs and business practices and explains their significance. | [
{
"from": "human",
"value": "Text: Conducting business in China. Chinese culture is governed by an ancient set of values. Despite the gradual infiltration of Western culture, these historical practices remain highly visible in all interactions between Chinese people. For Western companies to set up and maintain viable businesses in China, it is essential that they have an understanding of Chinese heritage. This article identifies key elements of Chinese customs and business practices and explains their significance."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Companies in the text?"
},
{
"from": "gpt",
"value": "[\"Western companies\"]"
},
{
"from": "human",
"value": "What describes Culture in the text?"
},
{
"from": "gpt",
"value": "[\"Chinese\", \"Western\"]"
},
{
"from": "human",
"value": "What describes Country in the text?"
},
{
"from": "gpt",
"value": "[\"China\"]"
},
{
"from": "human",
"value": "What describes People in the text?"
},
{
"from": "gpt",
"value": "[\"Chinese people\"]"
},
{
"from": "human",
"value": "What describes Nationality in the text?"
},
{
"from": "gpt",
"value": "[\"Chinese\", \"Western\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" The Pentagon has quietly ordered fresh deployments of Special Operations troops to the Middle East and North Africa as the US intensifies its military engagement in Yemen, according to a report. The moves signal that the US military appears to be launching a more aggressive campaign against al-Qaeda in Yemen, as well as Daesh in Syria and some regions of North Africa, ABC News reported, citing former and current military officials. Late in January, the US military carried out the first known ground raid in Yemen in two years, which was followed by an unprecedented series of airstrikes this week. That January 29 raid in al-Bayda province did not go smoothly. One Navy SEAL was killed and, according to local residents, as many as 25 civilians lost their lives. A military aircraft worth $75 million was also destroyed after it crash-landed at the operation site. Read more
A veteran of 20 years of secret military operations said the administration of President Donald Trump has broadened the authority for more such operations overseas. "Authorities have changed in special operations' favor with the new administration," he told ABC News. "We're doing work on the bad guys." """<|im_end|>
<|im_start|>assistant
| The Pentagon has quietly ordered fresh deployments of Special Operations troops to the Middle East and North Africa as the US intensifies its military engagement in Yemen, according to a report. The moves signal that the US military appears to be launching a more aggressive campaign against al-Qaeda in Yemen, as well as Daesh in Syria and some regions of North Africa, ABC News reported, citing former and current military officials. Late in January, the US military carried out the first known ground raid in Yemen in two years, which was followed by an unprecedented series of airstrikes this week. That January 29 raid in al-Bayda province did not go smoothly. One Navy SEAL was killed and, according to local residents, as many as 25 civilians lost their lives. A military aircraft worth $75 million was also destroyed after it crash-landed at the operation site. Read more
A veteran of 20 years of secret military operations said the administration of President Donald Trump has broadened the authority for more such operations overseas. "Authorities have changed in special operations' favor with the new administration," he told ABC News. "We're doing work on the bad guys." | [
{
"from": "human",
"value": "Text: The Pentagon has quietly ordered fresh deployments of Special Operations troops to the Middle East and North Africa as the US intensifies its military engagement in Yemen, according to a report. The moves signal that the US military appears to be launching a more aggressive campaign against al-Qaeda in Yemen, as well as Daesh in Syria and some regions of North Africa, ABC News reported, citing former and current military officials. Late in January, the US military carried out the first known ground raid in Yemen in two years, which was followed by an unprecedented series of airstrikes this week. That January 29 raid in al-Bayda province did not go smoothly. One Navy SEAL was killed and, according to local residents, as many as 25 civilians lost their lives. A military aircraft worth $75 million was also destroyed after it crash-landed at the operation site. Read more\n\nA veteran of 20 years of secret military operations said the administration of President Donald Trump has broadened the authority for more such operations overseas. \"Authorities have changed in special operations' favor with the new administration,\" he told ABC News. \"We're doing work on the bad guys.\""
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Money in the text?"
},
{
"from": "gpt",
"value": "[\"$75 million\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"The Pentagon\", \"Special Operations troops\", \"US\", \"al-Qaeda\", \"Daesh\", \"ABC News\"]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Navy SEAL\", \"local residents\", \"Donald Trump\"]"
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"Middle East\", \"North Africa\", \"Yemen\", \"Syria\", \"al-Bayda province\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Nothing frustrates me more than watching a perfectly good scene be ambushed by an unnecessary walk-on. We are all familiar with the scene where a couple is out to dinner at a restaurant and then the zany waiter ambushes the scene and the scene ends up becoming all about the zany waiter and has nothing to do with the relationship of the couple. And we’ve all watched those “walk-on happy” groups that give no time or room for a scene to develop. Walk-ons done right are a thing of beauty, like ballet. They should be there to support what’s happening on stage, not distract from it. In the wrong hands, they are a cluster fuck and do more harm than good. I think walk-ons are overused, and I know my outlook on this subject is definitely old school, but in my opinion, a walk-on or tag out is not a good substitute for good scene work. Today, I want to give you five very simple questions to ask yourself to help determine if a scene needs a walk-on. 1. Do the players need an environment? This is usually easy to determine and can be of maximum service to the players in the scene. If two players come out and have no idea where they are after a few minutes, it is the perfect opportunity for a walk-on. """<|im_end|>
<|im_start|>assistant
| Nothing frustrates me more than watching a perfectly good scene be ambushed by an unnecessary walk-on. We are all familiar with the scene where a couple is out to dinner at a restaurant and then the zany waiter ambushes the scene and the scene ends up becoming all about the zany waiter and has nothing to do with the relationship of the couple. And we’ve all watched those “walk-on happy” groups that give no time or room for a scene to develop. Walk-ons done right are a thing of beauty, like ballet. They should be there to support what’s happening on stage, not distract from it. In the wrong hands, they are a cluster fuck and do more harm than good. I think walk-ons are overused, and I know my outlook on this subject is definitely old school, but in my opinion, a walk-on or tag out is not a good substitute for good scene work. Today, I want to give you five very simple questions to ask yourself to help determine if a scene needs a walk-on. 1. Do the players need an environment? This is usually easy to determine and can be of maximum service to the players in the scene. If two players come out and have no idea where they are after a few minutes, it is the perfect opportunity for a walk-on. | [
{
"from": "human",
"value": "Text: Nothing frustrates me more than watching a perfectly good scene be ambushed by an unnecessary walk-on. We are all familiar with the scene where a couple is out to dinner at a restaurant and then the zany waiter ambushes the scene and the scene ends up becoming all about the zany waiter and has nothing to do with the relationship of the couple. And we’ve all watched those “walk-on happy” groups that give no time or room for a scene to develop. Walk-ons done right are a thing of beauty, like ballet. They should be there to support what’s happening on stage, not distract from it. In the wrong hands, they are a cluster fuck and do more harm than good. I think walk-ons are overused, and I know my outlook on this subject is definitely old school, but in my opinion, a walk-on or tag out is not a good substitute for good scene work. Today, I want to give you five very simple questions to ask yourself to help determine if a scene needs a walk-on. 1. Do the players need an environment? This is usually easy to determine and can be of maximum service to the players in the scene. If two players come out and have no idea where they are after a few minutes, it is the perfect opportunity for a walk-on."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes place in the text?"
},
{
"from": "gpt",
"value": "[\"stage\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes concept in the text?"
},
{
"from": "gpt",
"value": "[\"scene\", \"walk-on\", \"outlook\", \"subject\", \"tag out\", \"environment\", \"opportunity\"]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"waiter\"]"
},
{
"from": "human",
"value": "What describes group in the text?"
},
{
"from": "gpt",
"value": "[\"couple\", \"groups\", \"players\"]"
},
{
"from": "human",
"value": "What describes material in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes component in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes body_part in the text?"
},
{
"from": "gpt",
"value": "[\"hands\"]"
},
{
"from": "human",
"value": "What describes time_period in the text?"
},
{
"from": "gpt",
"value": "[\"minutes\"]"
},
{
"from": "human",
"value": "What describes color in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Sports in Juneau
Juneau-Douglas High School swimming and diving - Southeast Region Championships: The Crimson Bears host the 2004 Southeast swim and dive championships at Augustus G. Brown Swimming Pool. Preliminary heats start at 6 p.m. on Friday, and the event finals start at 3:30 p.m. on Saturday. Swimmers from across the region will compete for berths at the state meet Nov. 4-5 in Anchorage. Friday-Sunday, Nov. 5-7
Juneau Adult Hockey Association - Juneau Jamboree women's hockey tournament: Players are expected from Anchorage and the Yukon Territory for this jamboree-style event, the first women's hockey tournament in Juneau. Four games take place on Friday starting at 5:15 p.m.; eight games are on Saturday starting at 8 a.m.; and four more games take place on Sunday starting at 6:45 a.m. at Treadwell Arena in Douglas. This event requires players to register as individuals, then teams will be formed to mix locals and out-of-towners and to merge players of all skill levels onto each team. Each team will play four games over the weekend in round-robin fashion and not official champions will be named. Info: Carrie McMullen, 789-1972. """<|im_end|>
<|im_start|>assistant
| Sports in Juneau
Juneau-Douglas High School swimming and diving - Southeast Region Championships: The Crimson Bears host the 2004 Southeast swim and dive championships at Augustus G. Brown Swimming Pool. Preliminary heats start at 6 p.m. on Friday, and the event finals start at 3:30 p.m. on Saturday. Swimmers from across the region will compete for berths at the state meet Nov. 4-5 in Anchorage. Friday-Sunday, Nov. 5-7
Juneau Adult Hockey Association - Juneau Jamboree women's hockey tournament: Players are expected from Anchorage and the Yukon Territory for this jamboree-style event, the first women's hockey tournament in Juneau. Four games take place on Friday starting at 5:15 p.m.; eight games are on Saturday starting at 8 a.m.; and four more games take place on Sunday starting at 6:45 a.m. at Treadwell Arena in Douglas. This event requires players to register as individuals, then teams will be formed to mix locals and out-of-towners and to merge players of all skill levels onto each team. Each team will play four games over the weekend in round-robin fashion and not official champions will be named. Info: Carrie McMullen, 789-1972. | [
{
"from": "human",
"value": "Text: Sports in Juneau\n\n Juneau-Douglas High School swimming and diving - Southeast Region Championships: The Crimson Bears host the 2004 Southeast swim and dive championships at Augustus G. Brown Swimming Pool. Preliminary heats start at 6 p.m. on Friday, and the event finals start at 3:30 p.m. on Saturday. Swimmers from across the region will compete for berths at the state meet Nov. 4-5 in Anchorage. Friday-Sunday, Nov. 5-7\n\n Juneau Adult Hockey Association - Juneau Jamboree women's hockey tournament: Players are expected from Anchorage and the Yukon Territory for this jamboree-style event, the first women's hockey tournament in Juneau. Four games take place on Friday starting at 5:15 p.m.; eight games are on Saturday starting at 8 a.m.; and four more games take place on Sunday starting at 6:45 a.m. at Treadwell Arena in Douglas. This event requires players to register as individuals, then teams will be formed to mix locals and out-of-towners and to merge players of all skill levels onto each team. Each team will play four games over the weekend in round-robin fashion and not official champions will be named. Info: Carrie McMullen, 789-1972."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Title in the text?"
},
{
"from": "gpt",
"value": "[\"official champions\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"Juneau Adult Hockey Association\"]"
},
{
"from": "human",
"value": "What describes occupation in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Food in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Date in the text?"
},
{
"from": "gpt",
"value": "[\"Friday\", \"Saturday\", \"Sunday\"]"
},
{
"from": "human",
"value": "What describes Facility in the text?"
},
{
"from": "gpt",
"value": "[\"Augustus G. Brown Swimming Pool\", \"Treadwell Arena\"]"
},
{
"from": "human",
"value": "What describes money in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Athlete in the text?"
},
{
"from": "gpt",
"value": "[\"Swimmers\"]"
},
{
"from": "human",
"value": "What describes support in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Company in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes drug in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes group in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"locals\", \"out-of-towners\", \"Carrie McMullen\"]"
},
{
"from": "human",
"value": "What describes Event in the text?"
},
{
"from": "gpt",
"value": "[\"Southeast Region Championships\", \"state meet\", \"Juneau Jamboree\"]"
},
{
"from": "human",
"value": "What describes Format in the text?"
},
{
"from": "gpt",
"value": "[\"round-robin\"]"
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"region\", \"Anchorage\", \"Yukon Territory\", \"Douglas\"]"
},
{
"from": "human",
"value": "What describes concept in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes School in the text?"
},
{
"from": "gpt",
"value": "[\"Juneau-Douglas High School\"]"
},
{
"from": "human",
"value": "What describes Skill in the text?"
},
{
"from": "gpt",
"value": "[\"skill levels\"]"
},
{
"from": "human",
"value": "What describes Sports Team in the text?"
},
{
"from": "gpt",
"value": "[\"Crimson Bears\"]"
},
{
"from": "human",
"value": "What describes restaurant in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
End of preview. Expand
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