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Please summarize this post. Make it easier to read and much shorter. It should only be about a paragraph or two. Use the text following this request.
After World War II, designating the start and end dates for daylight saving time fell to state governments. Because this created many railroad scheduling and safety problems, however, Congress passed the Uniform Time Act in 1966. This law set the nationwide dates of daylight saving time from the last Sunday in April until the last Sunday in October. In 2007, Congress amended the act to expand the period in which daylight saving time is in effect from the second Sunday in March to the first Sunday in November – dates that remain in effect today.
The Uniform Time Act allows states and territories to opt out of daylight saving time, however. Arizona and Hawaii are on permanent standard time, along with Puerto Rico, the U.S. Virgin Islands, Northern Mariana Islands, Guam and American Samoa.
Now, many other states are considering whether to stop falling back and springing ahead. Several U.S. states have legislation and resolutions under consideration to support permanent standard time, while many others have been or are considering permanent daylight saving time. Legislation and resolutions for permanent standard time have increased from 15% in 2021 to 31% in 2023.
In March 2022, the U.S. Senate passed the Sunshine Protection Act in a bid to make daylight saving time permanent. But the House did not move forward with this legislation. Florida Sen. Marco Rubio reintroduced the bill on March 1, 2023.
The spike in activity among states seeking to break from these twice-yearly changes reflects how more people are recognizing the downsides of this practice. Now, it’s up to legislators to decide whether we end the time shift altogether, and to choose permanent standard or daylight saving time. | After WWII, states were given the right to choose the start and end dates for daylight saving time, but this caused serious problems for rail schedules. To address this, Congress passed the Uniform Time Act in 1966 which standardized the changes, but still allowed states and territories to opt out entirely. Arizona, Hawaii, Puerto Rico, and some U.S. territories decided to stay on permanent time.
Many other states and legislators are considering abolishing daylight saving time, but no bill has passed. People are starting to recognize the problems caused by changing the time twice a year and want to move to a permanent standard time. | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Please summarize this post. Make it easier to read and much shorter. It should only be about a paragraph or two. Use the text following this request.
After World War II, designating the start and end dates for daylight saving time fell to state governments. Because this created many railroad scheduling and safety problems, however, Congress passed the Uniform Time Act in 1966. This law set the nationwide dates of daylight saving time from the last Sunday in April until the last Sunday in October. In 2007, Congress amended the act to expand the period in which daylight saving time is in effect from the second Sunday in March to the first Sunday in November – dates that remain in effect today.
The Uniform Time Act allows states and territories to opt out of daylight saving time, however. Arizona and Hawaii are on permanent standard time, along with Puerto Rico, the U.S. Virgin Islands, Northern Mariana Islands, Guam and American Samoa.
Now, many other states are considering whether to stop falling back and springing ahead. Several U.S. states have legislation and resolutions under consideration to support permanent standard time, while many others have been or are considering permanent daylight saving time. Legislation and resolutions for permanent standard time have increased from 15% in 2021 to 31% in 2023.
In March 2022, the U.S. Senate passed the Sunshine Protection Act in a bid to make daylight saving time permanent. But the House did not move forward with this legislation. Florida Sen. Marco Rubio reintroduced the bill on March 1, 2023.
The spike in activity among states seeking to break from these twice-yearly changes reflects how more people are recognizing the downsides of this practice. Now, it’s up to legislators to decide whether we end the time shift altogether, and to choose permanent standard or daylight saving time.
```
Human Response:
```
After WWII, states were given the right to choose the start and end dates for daylight saving time, but this caused serious problems for rail schedules. To address this, Congress passed the Uniform Time Act in 1966 which standardized the changes, but still allowed states and territories to opt out entirely. Arizona, Hawaii, Puerto Rico, and some U.S. territories decided to stay on permanent time.
Many other states and legislators are considering abolishing daylight saving time, but no bill has passed. People are starting to recognize the problems caused by changing the time twice a year and want to move to a permanent standard time.
```
Language Model Response:
```
Empty (language model failed generate any text)
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 0 | 0 | gemini-1.5-flash-001 | 2024-06-15 |
|
Give me this text condensed into just three to four sentences:
She moved to Europe in 1928, where she made movies in the UK and Germany. She made her debut on the London stage with the young up-and-coming Laurence Olivier in the play "The Circle of Chalk." After receiving a drubbing for her voice and singing from the London critics, she paid a Cambridge University tutor to improve her speech, with the result that she acquired an upper-crust English accent. Later she appeared in Vienna, Austria, in the play "Springtime."
European directors appreciated Wong's unique talents and beauty, and they used her in ways that stereotype-minded Hollywood, hemmed in by American prejudice, would not or could not. Moving to Germany to appear in German films, she became acquainted with German film personalities, including Marlene Dietrich and actress-filmmaker Leni Riefenstahl. She learned German and French and began to develop a continental European attitude and outlook. In Europe she was welcomed as a star. According to her biographer Graham Russell Gao Hodges, Wong hobnobbed with "an intellectual elite that included princes, playwrights, artists and photographers who clamored to work with her." Anna May Wong was featured in magazines all over the world, far more than actresses of a similar level of accomplishment. She became a media superstar, and her coiffure and complexion were copied, while "coolie coats" became the rage. According to Hodges, "[S]he was the one American star who spoke to the French people, more than Greta Garbo, Joan Crawford or Mary Pickford, the top American actresses of the time." But, ironically, "[S]he's the one who's now forgotten." Wong was cast in Ewald André Dupont's silent film Piccadilly (1929) as a maid who is fired from her job at a London nightclub after dancing on top of a table, then rehired as a dancer to infuse the club with exotic glamour. Her first talkie was The Flame of Love (1930) (aka "The Road to Dishonour", although some sources claim it was "Song" aka "Wasted Love" in that same year), which was released by British International Pictures. In a time before dubbing, when different versions of a single film were filmed in different languages, Wong played in the English, French and German versions of the movie.
Paramount Pictures offered her a contract with the promise of lead roles in major productions. Returning to the US in 1930, Wong appeared on Broadway in the play "On the Spot." It was a hit, running for 167 performances, and she moved on to Hollywood and Paramount, where she starred in an adaptation of Sax Rohmer's novel "Daughter of Fu Manchu" called Daughter of the Dragon (1931). She was back in stereotype-land, this time as the ultimate "Dragon Lady," who with her father Fu Manchu (played by ethnic Swede Warner Oland, the future Charlie Chan) embodied the evil "Yellow Peril." While "Daughter of the Dragon" may have been B-movie pulp, it enabled Wong to show off her talent by delivering a powerful performance. | Anna Wong moved to Europe to escape stereotype casting, making her debut in London, and hired a tutor to help her improve her speech. She eventually moved to Germany and learned German and French. She was featured in many magazines and became a media darling. Eventually, she returned to the US, starring in more movies, but she was again cast in stereotyped roles. | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Give me this text condensed into just three to four sentences:
She moved to Europe in 1928, where she made movies in the UK and Germany. She made her debut on the London stage with the young up-and-coming Laurence Olivier in the play "The Circle of Chalk." After receiving a drubbing for her voice and singing from the London critics, she paid a Cambridge University tutor to improve her speech, with the result that she acquired an upper-crust English accent. Later she appeared in Vienna, Austria, in the play "Springtime."
European directors appreciated Wong's unique talents and beauty, and they used her in ways that stereotype-minded Hollywood, hemmed in by American prejudice, would not or could not. Moving to Germany to appear in German films, she became acquainted with German film personalities, including Marlene Dietrich and actress-filmmaker Leni Riefenstahl. She learned German and French and began to develop a continental European attitude and outlook. In Europe she was welcomed as a star. According to her biographer Graham Russell Gao Hodges, Wong hobnobbed with "an intellectual elite that included princes, playwrights, artists and photographers who clamored to work with her." Anna May Wong was featured in magazines all over the world, far more than actresses of a similar level of accomplishment. She became a media superstar, and her coiffure and complexion were copied, while "coolie coats" became the rage. According to Hodges, "[S]he was the one American star who spoke to the French people, more than Greta Garbo, Joan Crawford or Mary Pickford, the top American actresses of the time." But, ironically, "[S]he's the one who's now forgotten." Wong was cast in Ewald André Dupont's silent film Piccadilly (1929) as a maid who is fired from her job at a London nightclub after dancing on top of a table, then rehired as a dancer to infuse the club with exotic glamour. Her first talkie was The Flame of Love (1930) (aka "The Road to Dishonour", although some sources claim it was "Song" aka "Wasted Love" in that same year), which was released by British International Pictures. In a time before dubbing, when different versions of a single film were filmed in different languages, Wong played in the English, French and German versions of the movie.
Paramount Pictures offered her a contract with the promise of lead roles in major productions. Returning to the US in 1930, Wong appeared on Broadway in the play "On the Spot." It was a hit, running for 167 performances, and she moved on to Hollywood and Paramount, where she starred in an adaptation of Sax Rohmer's novel "Daughter of Fu Manchu" called Daughter of the Dragon (1931). She was back in stereotype-land, this time as the ultimate "Dragon Lady," who with her father Fu Manchu (played by ethnic Swede Warner Oland, the future Charlie Chan) embodied the evil "Yellow Peril." While "Daughter of the Dragon" may have been B-movie pulp, it enabled Wong to show off her talent by delivering a powerful performance.
```
Human Response:
```
Anna Wong moved to Europe to escape stereotype casting, making her debut in London, and hired a tutor to help her improve her speech. She eventually moved to Germany and learned German and French. She was featured in many magazines and became a media darling. Eventually, she returned to the US, starring in more movies, but she was again cast in stereotyped roles.
```
Language Model Response:
```
Empty (language model failed generate any text)
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 0 | 0 | gemini-1.5-flash-001 | 2024-06-15 |
|
Read this article and give me a description of Eagleman.
Eagleman is thirty-nine now and an assistant professor of neuroscience at Baylor College of Medicine, in Houston. Physically, he seems no worse for the fall. He did a belly flop on the bricks, he says, and his nose took most of the impact. “He made a one-point landing,” as his father puts it. The cartilage was so badly smashed that an emergency-room surgeon had to remove it all, leaving Eagleman with a rubbery proboscis that he could bend in any direction. But it stiffened up eventually, and it’s hard to tell that it was ever injured. Eagleman has puckish, neatly carved features, with a lantern jaw and modish sideburns. In Baylor’s lab-coated corridors, he wears designer jeans and square-toed ankle boots, and walks with a bounce in his step that’s suspiciously close to a strut, like Pinocchio heading off to Pleasure Island.
If Eagleman’s body bears no marks of his childhood accident, his mind has been deeply imprinted by it. He is a man obsessed by time. As the head of a lab at Baylor, Eagleman has spent the past decade tracing the neural and psychological circuitry of the brain’s biological clocks. He has had the good fortune to arrive in his field at the same time as fMRI scanners, which allow neuroscientists to observe the brain at work, in the act of thinking. But his best results have often come through more inventive means: video games, optical illusions, physical challenges. Eagleman has a talent for testing the untestable, for taking seemingly sophomoric notions and using them to nail down the slippery stuff of consciousness. “There are an infinite number of boring things to do in science,” he told me. “But we live these short life spans. Why not do the thing that’s the coolest thing in the world to do?” | Eagleman is 39 with puckish features including a lantern jaw, styled sideburns, flashy jeans and ankle boots. Physically, he has completely recovered from his childhood fall that broke his nose. He is obsessed with time and is an assistant professor of neuroscience at Baylor College of Medicine. | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Read this article and give me a description of Eagleman.
Eagleman is thirty-nine now and an assistant professor of neuroscience at Baylor College of Medicine, in Houston. Physically, he seems no worse for the fall. He did a belly flop on the bricks, he says, and his nose took most of the impact. “He made a one-point landing,” as his father puts it. The cartilage was so badly smashed that an emergency-room surgeon had to remove it all, leaving Eagleman with a rubbery proboscis that he could bend in any direction. But it stiffened up eventually, and it’s hard to tell that it was ever injured. Eagleman has puckish, neatly carved features, with a lantern jaw and modish sideburns. In Baylor’s lab-coated corridors, he wears designer jeans and square-toed ankle boots, and walks with a bounce in his step that’s suspiciously close to a strut, like Pinocchio heading off to Pleasure Island.
If Eagleman’s body bears no marks of his childhood accident, his mind has been deeply imprinted by it. He is a man obsessed by time. As the head of a lab at Baylor, Eagleman has spent the past decade tracing the neural and psychological circuitry of the brain’s biological clocks. He has had the good fortune to arrive in his field at the same time as fMRI scanners, which allow neuroscientists to observe the brain at work, in the act of thinking. But his best results have often come through more inventive means: video games, optical illusions, physical challenges. Eagleman has a talent for testing the untestable, for taking seemingly sophomoric notions and using them to nail down the slippery stuff of consciousness. “There are an infinite number of boring things to do in science,” he told me. “But we live these short life spans. Why not do the thing that’s the coolest thing in the world to do?”
```
Human Response:
```
Eagleman is 39 with puckish features including a lantern jaw, styled sideburns, flashy jeans and ankle boots. Physically, he has completely recovered from his childhood fall that broke his nose. He is obsessed with time and is an assistant professor of neuroscience at Baylor College of Medicine.
```
Language Model Response:
```
Empty (language model failed generate any text)
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 0 | 0 | gemini-1.5-flash-001 | 2024-06-15 |
|
Provide a short summary of this article. It only needs to be one paragraph with about 4 or 5 sentences.
Breaking the cycle
It’s clear that Indigenous communities need new or upgraded hospitals and clinics, more and better diagnostic technology, more specialty services in dental care, obstetrics, pediatrics and oncology, and more alcohol and substance abuse treatment programs.
There is some good news: The Biden administration’s 2022 infrastructure bill makes $13 billion available to address some of these needs for Native American tribes. And an additional $20 billion appropriation for COVID-19 relief will also provide help for some of the most immediate challenges.
But even with this aid, there is still a funding gap. The National Indian Health Board, a nonprofit advocacy group representing federally recognized tribes, recommends a commitment of $48 billion for the 2024 fiscal year to fully fund the health needs of Indigenous people. The current budget, $9.3 billion, is less than one-fifth of that.
The recent increases in funding are certainly a step in the right direction. But the factors contributing to the shorter lives of Native Americans started generations ago, and they are still reverberating among the youngest of us today.
Both from a professional standpoint – as well as one that is very personal to me and my ancestors – more work in this area cannot come soon enough. | Indigenous populations need more access to healthcare and better facilities. Newer or upgraded hospitals, more and better diagnostic technology, better dental, obstetrics, pediatrics, and oncology services, and especially alcohol and substance abuse programs are all needed in Indigenous communities. While billions of dollars are becoming available to address some of these needs, there is still a very large funding gap. Though this money is starting to help, the National Indian Health Board - a nonprofit advocacy group - states that the current budget is less than one-fifth of what is truly needed. | Assistant
Assistant
Assistant
Assistant
Assistant
Assistant
Assistant | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Provide a short summary of this article. It only needs to be one paragraph with about 4 or 5 sentences.
Breaking the cycle
It’s clear that Indigenous communities need new or upgraded hospitals and clinics, more and better diagnostic technology, more specialty services in dental care, obstetrics, pediatrics and oncology, and more alcohol and substance abuse treatment programs.
There is some good news: The Biden administration’s 2022 infrastructure bill makes $13 billion available to address some of these needs for Native American tribes. And an additional $20 billion appropriation for COVID-19 relief will also provide help for some of the most immediate challenges.
But even with this aid, there is still a funding gap. The National Indian Health Board, a nonprofit advocacy group representing federally recognized tribes, recommends a commitment of $48 billion for the 2024 fiscal year to fully fund the health needs of Indigenous people. The current budget, $9.3 billion, is less than one-fifth of that.
The recent increases in funding are certainly a step in the right direction. But the factors contributing to the shorter lives of Native Americans started generations ago, and they are still reverberating among the youngest of us today.
Both from a professional standpoint – as well as one that is very personal to me and my ancestors – more work in this area cannot come soon enough.
```
Human Response:
```
Indigenous populations need more access to healthcare and better facilities. Newer or upgraded hospitals, more and better diagnostic technology, better dental, obstetrics, pediatrics, and oncology services, and especially alcohol and substance abuse programs are all needed in Indigenous communities. While billions of dollars are becoming available to address some of these needs, there is still a very large funding gap. Though this money is starting to help, the National Indian Health Board - a nonprofit advocacy group - states that the current budget is less than one-fifth of what is truly needed.
```
Language Model Response:
```
Assistant
Assistant
Assistant
Assistant
Assistant
Assistant
Assistant
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 1 | 0.7 | gemini-1.5-flash-001 | 2024-06-15 |
Please summarize what this text says about feeling like a zombie.
A sleepless night can make you feel like the zombie apocalypse is here and you are one of them, but people are more resilient than you might think when it comes to sleep deprivation. “Evolution has designed us so that we can adapt and manage on insufficient sleep—otherwise, we wouldn’t be around today to talk about it,” Dr. Barwick says. “Your circadian rhythms will naturally help you feel more alert, despite the lost sleep.”
But that doesn’t mean you should keep your sleep deficit going and try to make up for it on the weekend. Chronic lack of rest is linked to a host of health issues, so “it’s important to protect and prioritize sleep the following night, maybe even by going to bed a bit earlier than usual to catch up on some of the sleep you lost the night before,” Dr. Barwick says. “We can’t make up all of the sleep loss from a restless night, but research shows that sleeping a little longer the following one to two nights can help us recover faster.” In other words, one night of bad sleep—while not ideal—isn’t the end of the world, despite the zombie vibes. | Sleep deprivation can make you feel like a zombie. Even if you feel like a zombie, one night of bad sleep isn't the end of the world. | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Please summarize what this text says about feeling like a zombie.
A sleepless night can make you feel like the zombie apocalypse is here and you are one of them, but people are more resilient than you might think when it comes to sleep deprivation. “Evolution has designed us so that we can adapt and manage on insufficient sleep—otherwise, we wouldn’t be around today to talk about it,” Dr. Barwick says. “Your circadian rhythms will naturally help you feel more alert, despite the lost sleep.”
But that doesn’t mean you should keep your sleep deficit going and try to make up for it on the weekend. Chronic lack of rest is linked to a host of health issues, so “it’s important to protect and prioritize sleep the following night, maybe even by going to bed a bit earlier than usual to catch up on some of the sleep you lost the night before,” Dr. Barwick says. “We can’t make up all of the sleep loss from a restless night, but research shows that sleeping a little longer the following one to two nights can help us recover faster.” In other words, one night of bad sleep—while not ideal—isn’t the end of the world, despite the zombie vibes.
```
Human Response:
```
Sleep deprivation can make you feel like a zombie. Even if you feel like a zombie, one night of bad sleep isn't the end of the world.
```
Language Model Response:
```
Empty (language model failed generate any text)
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 0 | 0 | gemini-1.5-flash-001 | 2024-06-15 |
|
Reduce this article from 488 to less than 150 words by summarizing and focusing on the essential facts.
In this fact sheet, students will learn about the people who became actors, what an average day was like and more.
Actors
The life of an actor changed dramatically during Shakespeare’s lifetime. At first actors toured in companies, travelling the country to perform in towns and cities and in private homes. By the time Shakespeare died, London had several permanent theatres where the actors performed, drawing in huge audiences. Yet, despite the popularity of play-going, the acting profession had a bad reputation. Actors were seen as unruly and a threat to a peaceful society.
Who became an actor?
In Shakespeare’s time acting was a profession only open to boys and men. Women were acting elsewhere in Europe but they were not allowed to perform in public theatres in England until 1660. In an Elizabethan production boys would play the female parts, like Ophelia in Hamlet or Desdemona in Othello, whilst occasionally men would play the older women. There were many more actors working across the country at the time, but these are some of the best known Elizabethan actors: Richard Burbage, Edward Alleyn, Robert Armin, William Kemp and Nathan Field.
What was an actor’s training?
Many actors began their careers as young boys. They could join a company as an apprentice and be taught by one of the more senior actors within the company. Actors were expected to be able to sword fight, sing and dance, as well as having a good memory for learning lines.
How big was a company?
Company sizes varied, depending on where the company was working and how wealthy the company was. A wealthy company, when working in a theatre, might have 8– 12 senior members called sharers, 3–4 boys, a number of hired players (hired men) and then stage hands, tiremen (who would help the actors dress back stage) and some musicians. Actors would join a company under the patronage of a monarch (like the Queen’s Men) or a nobleman, such as the Lord Admiral’s Men or the Lord Chamberlain’s Men.
Where did a company work?
Most companies were based in London, using one of the permanent theatres. Sometimes the theatres were closed, for example when there was a plague in the city, and so companies would then go on tour. Mostly they toured England, but companies did also go abroad, particularly to the Netherlands and Germany.
What did an actor earn?
Many theatre companies operated a shareholder system. Sharers in a company earned more than the hired men. Shakespeare was a sharer of the Chamberlain’s Men, later the King’s Men, and so shared the costs and also the profits the company made. Actors’ earnings also depended on where the company was playing. The company made more money in London than in the country, so could pay actors higher wages. In 1597 the actor William Kendall was paid 10 shillings a week in London but only 5 shillings in the country.
| Before Shakespeare’s lifetime, actors, who were only men or boys, toured in companies. By the time of Shakespeare’s death, Actors, though seen as having bad reputations, performed at several permanent playhouses in London. In Elizabethan productions, the roles of females were played by boys and occasionally, when an older female was required, by men. Boys often started their careers in their youth by becoming an apprentice. Older actors would teach them sword fighting, singing, and dancing. Among the most famous Elizabethan actors were Richard Burbage, Edward Alleyn, Robert Armin, William Kemp, and Nathan Field. In a wealthy company under the patronage of a monarch or nobleman, a senior actor - of which there were 8-12 - could earn as much as 10 shillings a week for performances in London. | Assistant | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Reduce this article from 488 to less than 150 words by summarizing and focusing on the essential facts.
In this fact sheet, students will learn about the people who became actors, what an average day was like and more.
Actors
The life of an actor changed dramatically during Shakespeare’s lifetime. At first actors toured in companies, travelling the country to perform in towns and cities and in private homes. By the time Shakespeare died, London had several permanent theatres where the actors performed, drawing in huge audiences. Yet, despite the popularity of play-going, the acting profession had a bad reputation. Actors were seen as unruly and a threat to a peaceful society.
Who became an actor?
In Shakespeare’s time acting was a profession only open to boys and men. Women were acting elsewhere in Europe but they were not allowed to perform in public theatres in England until 1660. In an Elizabethan production boys would play the female parts, like Ophelia in Hamlet or Desdemona in Othello, whilst occasionally men would play the older women. There were many more actors working across the country at the time, but these are some of the best known Elizabethan actors: Richard Burbage, Edward Alleyn, Robert Armin, William Kemp and Nathan Field.
What was an actor’s training?
Many actors began their careers as young boys. They could join a company as an apprentice and be taught by one of the more senior actors within the company. Actors were expected to be able to sword fight, sing and dance, as well as having a good memory for learning lines.
How big was a company?
Company sizes varied, depending on where the company was working and how wealthy the company was. A wealthy company, when working in a theatre, might have 8– 12 senior members called sharers, 3–4 boys, a number of hired players (hired men) and then stage hands, tiremen (who would help the actors dress back stage) and some musicians. Actors would join a company under the patronage of a monarch (like the Queen’s Men) or a nobleman, such as the Lord Admiral’s Men or the Lord Chamberlain’s Men.
Where did a company work?
Most companies were based in London, using one of the permanent theatres. Sometimes the theatres were closed, for example when there was a plague in the city, and so companies would then go on tour. Mostly they toured England, but companies did also go abroad, particularly to the Netherlands and Germany.
What did an actor earn?
Many theatre companies operated a shareholder system. Sharers in a company earned more than the hired men. Shakespeare was a sharer of the Chamberlain’s Men, later the King’s Men, and so shared the costs and also the profits the company made. Actors’ earnings also depended on where the company was playing. The company made more money in London than in the country, so could pay actors higher wages. In 1597 the actor William Kendall was paid 10 shillings a week in London but only 5 shillings in the country.
```
Human Response:
```
Before Shakespeare’s lifetime, actors, who were only men or boys, toured in companies. By the time of Shakespeare’s death, Actors, though seen as having bad reputations, performed at several permanent playhouses in London. In Elizabethan productions, the roles of females were played by boys and occasionally, when an older female was required, by men. Boys often started their careers in their youth by becoming an apprentice. Older actors would teach them sword fighting, singing, and dancing. Among the most famous Elizabethan actors were Richard Burbage, Edward Alleyn, Robert Armin, William Kemp, and Nathan Field. In a wealthy company under the patronage of a monarch or nobleman, a senior actor - of which there were 8-12 - could earn as much as 10 shillings a week for performances in London.
```
Language Model Response:
```
Assistant
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 40 | 30 | gemini-1.5-flash-001 | 2024-06-15 |
Summarize the following story in a few sentences.
The Fox one day thought of a plan to amuse himself at the expense of the Stork, at whose odd appearance he was always laughing.
"You must come and dine with me today," he said to the Stork, smiling to himself at the trick he was going to play. The Stork gladly accepted the invitation and arrived in good time and with a very good appetite.
For dinner the Fox served soup. But it was set out in a very shallow dish, and all the Stork could do was to wet the very tip of his bill. Not a drop of soup could he get. But the Fox lapped it up easily, and, to increase the disappointment of the Stork, made a great show of enjoyment.
The hungry Stork was much displeased at the trick, but he was a calm, even-tempered fellow and saw no good in flying into a rage. Instead, not long afterward, he invited the Fox to dine with him in turn. The Fox arrived promptly at the time that had been set, and the Stork served a fish dinner that had a very appetizing smell. But it was served in a tall jar with a very narrow neck. The Stork could easily get at the food with his long bill, but all the Fox could do was to lick the outside of the jar, and sniff at the delicious odor. And when the Fox lost his temper, the Stork said calmly:
Do not play tricks on your neighbors unless you can stand the same treatment yourself. | The Fox always judged the Stork's appearance and one day decided to pull a prank on him. The Fox invited the Stork over for dinner and served him soup in a very shallow dish. The Stork was not able to get a single drop of the soup and, even though he was hungry, he stayed calm. Later, the Stork invited the Fox over for dinner and served him a delicious-smelling fish dinner, but it was in a tall jar with a very narrow neck. The Fox was only able to lick the outside of the jar, and he lost his temper. | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Summarize the following story in a few sentences.
The Fox one day thought of a plan to amuse himself at the expense of the Stork, at whose odd appearance he was always laughing.
"You must come and dine with me today," he said to the Stork, smiling to himself at the trick he was going to play. The Stork gladly accepted the invitation and arrived in good time and with a very good appetite.
For dinner the Fox served soup. But it was set out in a very shallow dish, and all the Stork could do was to wet the very tip of his bill. Not a drop of soup could he get. But the Fox lapped it up easily, and, to increase the disappointment of the Stork, made a great show of enjoyment.
The hungry Stork was much displeased at the trick, but he was a calm, even-tempered fellow and saw no good in flying into a rage. Instead, not long afterward, he invited the Fox to dine with him in turn. The Fox arrived promptly at the time that had been set, and the Stork served a fish dinner that had a very appetizing smell. But it was served in a tall jar with a very narrow neck. The Stork could easily get at the food with his long bill, but all the Fox could do was to lick the outside of the jar, and sniff at the delicious odor. And when the Fox lost his temper, the Stork said calmly:
Do not play tricks on your neighbors unless you can stand the same treatment yourself.
```
Human Response:
```
The Fox always judged the Stork's appearance and one day decided to pull a prank on him. The Fox invited the Stork over for dinner and served him soup in a very shallow dish. The Stork was not able to get a single drop of the soup and, even though he was hungry, he stayed calm. Later, the Stork invited the Fox over for dinner and served him a delicious-smelling fish dinner, but it was in a tall jar with a very narrow neck. The Fox was only able to lick the outside of the jar, and he lost his temper.
```
Language Model Response:
```
Empty (language model failed generate any text)
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 0 | 0 | gemini-1.5-flash-001 | 2024-06-15 |
|
Summarize this paragraph. Do not mention the Mosquirix vaccine.
The Matrix-M vaccine was approved in late 2022. It also targets the P. falciparum parasite. However, it contains a chemical substance that stimulates the body’s immune response. This makes it more effective than Mosquirix. The initial trial involved 450 children, aged 5-17 months. The children received three doses, followed by a booster a year later. The study found that the vaccine reduced the number of malaria cases by 80 percent. | In late 2022, the Matrix-M vaccine, which includes a chemical that stimulates the body's immune response, was approved. An initial study found the vaccine reduced malaria cases by 80% after 450 children between 5-17 months received three doses and a booster shot during a trial. | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Summarize this paragraph. Do not mention the Mosquirix vaccine.
The Matrix-M vaccine was approved in late 2022. It also targets the P. falciparum parasite. However, it contains a chemical substance that stimulates the body’s immune response. This makes it more effective than Mosquirix. The initial trial involved 450 children, aged 5-17 months. The children received three doses, followed by a booster a year later. The study found that the vaccine reduced the number of malaria cases by 80 percent.
```
Human Response:
```
In late 2022, the Matrix-M vaccine, which includes a chemical that stimulates the body's immune response, was approved. An initial study found the vaccine reduced malaria cases by 80% after 450 children between 5-17 months received three doses and a booster shot during a trial.
```
Language Model Response:
```
Empty (language model failed generate any text)
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 0 | 0 | gemini-1.5-flash-001 | 2024-06-15 |
|
Please summarize this post. Make it easier to read and much shorter. It should only be about a paragraph or two. Use the text following this request.
After World War II, designating the start and end dates for daylight saving time fell to state governments. Because this created many railroad scheduling and safety problems, however, Congress passed the Uniform Time Act in 1966. This law set the nationwide dates of daylight saving time from the last Sunday in April until the last Sunday in October. In 2007, Congress amended the act to expand the period in which daylight saving time is in effect from the second Sunday in March to the first Sunday in November – dates that remain in effect today.
The Uniform Time Act allows states and territories to opt out of daylight saving time, however. Arizona and Hawaii are on permanent standard time, along with Puerto Rico, the U.S. Virgin Islands, Northern Mariana Islands, Guam and American Samoa.
Now, many other states are considering whether to stop falling back and springing ahead. Several U.S. states have legislation and resolutions under consideration to support permanent standard time, while many others have been or are considering permanent daylight saving time. Legislation and resolutions for permanent standard time have increased from 15% in 2021 to 31% in 2023.
In March 2022, the U.S. Senate passed the Sunshine Protection Act in a bid to make daylight saving time permanent. But the House did not move forward with this legislation. Florida Sen. Marco Rubio reintroduced the bill on March 1, 2023.
The spike in activity among states seeking to break from these twice-yearly changes reflects how more people are recognizing the downsides of this practice. Now, it’s up to legislators to decide whether we end the time shift altogether, and to choose permanent standard or daylight saving time. | After WWII, states were given the right to choose the start and end dates for daylight saving time, but this caused serious problems for rail schedules. To address this, Congress passed the Uniform Time Act in 1966 which standardized the changes, but still allowed states and territories to opt out entirely. Arizona, Hawaii, Puerto Rico, and some U.S. territories decided to stay on permanent time.
Many other states and legislators are considering abolishing daylight saving time, but no bill has passed. People are starting to recognize the problems caused by changing the time twice a year and want to move to a permanent standard time. | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Please summarize this post. Make it easier to read and much shorter. It should only be about a paragraph or two. Use the text following this request.
After World War II, designating the start and end dates for daylight saving time fell to state governments. Because this created many railroad scheduling and safety problems, however, Congress passed the Uniform Time Act in 1966. This law set the nationwide dates of daylight saving time from the last Sunday in April until the last Sunday in October. In 2007, Congress amended the act to expand the period in which daylight saving time is in effect from the second Sunday in March to the first Sunday in November – dates that remain in effect today.
The Uniform Time Act allows states and territories to opt out of daylight saving time, however. Arizona and Hawaii are on permanent standard time, along with Puerto Rico, the U.S. Virgin Islands, Northern Mariana Islands, Guam and American Samoa.
Now, many other states are considering whether to stop falling back and springing ahead. Several U.S. states have legislation and resolutions under consideration to support permanent standard time, while many others have been or are considering permanent daylight saving time. Legislation and resolutions for permanent standard time have increased from 15% in 2021 to 31% in 2023.
In March 2022, the U.S. Senate passed the Sunshine Protection Act in a bid to make daylight saving time permanent. But the House did not move forward with this legislation. Florida Sen. Marco Rubio reintroduced the bill on March 1, 2023.
The spike in activity among states seeking to break from these twice-yearly changes reflects how more people are recognizing the downsides of this practice. Now, it’s up to legislators to decide whether we end the time shift altogether, and to choose permanent standard or daylight saving time.
```
Human Response:
```
After WWII, states were given the right to choose the start and end dates for daylight saving time, but this caused serious problems for rail schedules. To address this, Congress passed the Uniform Time Act in 1966 which standardized the changes, but still allowed states and territories to opt out entirely. Arizona, Hawaii, Puerto Rico, and some U.S. territories decided to stay on permanent time.
Many other states and legislators are considering abolishing daylight saving time, but no bill has passed. People are starting to recognize the problems caused by changing the time twice a year and want to move to a permanent standard time.
```
Language Model Response:
```
Empty (language model failed generate any text)
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 0 | 0 | gemini-1.5-flash-001 | 2024-06-15 |
|
Give me this text condensed into just three to four sentences:
She moved to Europe in 1928, where she made movies in the UK and Germany. She made her debut on the London stage with the young up-and-coming Laurence Olivier in the play "The Circle of Chalk." After receiving a drubbing for her voice and singing from the London critics, she paid a Cambridge University tutor to improve her speech, with the result that she acquired an upper-crust English accent. Later she appeared in Vienna, Austria, in the play "Springtime."
European directors appreciated Wong's unique talents and beauty, and they used her in ways that stereotype-minded Hollywood, hemmed in by American prejudice, would not or could not. Moving to Germany to appear in German films, she became acquainted with German film personalities, including Marlene Dietrich and actress-filmmaker Leni Riefenstahl. She learned German and French and began to develop a continental European attitude and outlook. In Europe she was welcomed as a star. According to her biographer Graham Russell Gao Hodges, Wong hobnobbed with "an intellectual elite that included princes, playwrights, artists and photographers who clamored to work with her." Anna May Wong was featured in magazines all over the world, far more than actresses of a similar level of accomplishment. She became a media superstar, and her coiffure and complexion were copied, while "coolie coats" became the rage. According to Hodges, "[S]he was the one American star who spoke to the French people, more than Greta Garbo, Joan Crawford or Mary Pickford, the top American actresses of the time." But, ironically, "[S]he's the one who's now forgotten." Wong was cast in Ewald André Dupont's silent film Piccadilly (1929) as a maid who is fired from her job at a London nightclub after dancing on top of a table, then rehired as a dancer to infuse the club with exotic glamour. Her first talkie was The Flame of Love (1930) (aka "The Road to Dishonour", although some sources claim it was "Song" aka "Wasted Love" in that same year), which was released by British International Pictures. In a time before dubbing, when different versions of a single film were filmed in different languages, Wong played in the English, French and German versions of the movie.
Paramount Pictures offered her a contract with the promise of lead roles in major productions. Returning to the US in 1930, Wong appeared on Broadway in the play "On the Spot." It was a hit, running for 167 performances, and she moved on to Hollywood and Paramount, where she starred in an adaptation of Sax Rohmer's novel "Daughter of Fu Manchu" called Daughter of the Dragon (1931). She was back in stereotype-land, this time as the ultimate "Dragon Lady," who with her father Fu Manchu (played by ethnic Swede Warner Oland, the future Charlie Chan) embodied the evil "Yellow Peril." While "Daughter of the Dragon" may have been B-movie pulp, it enabled Wong to show off her talent by delivering a powerful performance. | Anna Wong moved to Europe to escape stereotype casting, making her debut in London, and hired a tutor to help her improve her speech. She eventually moved to Germany and learned German and French. She was featured in many magazines and became a media darling. Eventually, she returned to the US, starring in more movies, but she was again cast in stereotyped roles. | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Give me this text condensed into just three to four sentences:
She moved to Europe in 1928, where she made movies in the UK and Germany. She made her debut on the London stage with the young up-and-coming Laurence Olivier in the play "The Circle of Chalk." After receiving a drubbing for her voice and singing from the London critics, she paid a Cambridge University tutor to improve her speech, with the result that she acquired an upper-crust English accent. Later she appeared in Vienna, Austria, in the play "Springtime."
European directors appreciated Wong's unique talents and beauty, and they used her in ways that stereotype-minded Hollywood, hemmed in by American prejudice, would not or could not. Moving to Germany to appear in German films, she became acquainted with German film personalities, including Marlene Dietrich and actress-filmmaker Leni Riefenstahl. She learned German and French and began to develop a continental European attitude and outlook. In Europe she was welcomed as a star. According to her biographer Graham Russell Gao Hodges, Wong hobnobbed with "an intellectual elite that included princes, playwrights, artists and photographers who clamored to work with her." Anna May Wong was featured in magazines all over the world, far more than actresses of a similar level of accomplishment. She became a media superstar, and her coiffure and complexion were copied, while "coolie coats" became the rage. According to Hodges, "[S]he was the one American star who spoke to the French people, more than Greta Garbo, Joan Crawford or Mary Pickford, the top American actresses of the time." But, ironically, "[S]he's the one who's now forgotten." Wong was cast in Ewald André Dupont's silent film Piccadilly (1929) as a maid who is fired from her job at a London nightclub after dancing on top of a table, then rehired as a dancer to infuse the club with exotic glamour. Her first talkie was The Flame of Love (1930) (aka "The Road to Dishonour", although some sources claim it was "Song" aka "Wasted Love" in that same year), which was released by British International Pictures. In a time before dubbing, when different versions of a single film were filmed in different languages, Wong played in the English, French and German versions of the movie.
Paramount Pictures offered her a contract with the promise of lead roles in major productions. Returning to the US in 1930, Wong appeared on Broadway in the play "On the Spot." It was a hit, running for 167 performances, and she moved on to Hollywood and Paramount, where she starred in an adaptation of Sax Rohmer's novel "Daughter of Fu Manchu" called Daughter of the Dragon (1931). She was back in stereotype-land, this time as the ultimate "Dragon Lady," who with her father Fu Manchu (played by ethnic Swede Warner Oland, the future Charlie Chan) embodied the evil "Yellow Peril." While "Daughter of the Dragon" may have been B-movie pulp, it enabled Wong to show off her talent by delivering a powerful performance.
```
Human Response:
```
Anna Wong moved to Europe to escape stereotype casting, making her debut in London, and hired a tutor to help her improve her speech. She eventually moved to Germany and learned German and French. She was featured in many magazines and became a media darling. Eventually, she returned to the US, starring in more movies, but she was again cast in stereotyped roles.
```
Language Model Response:
```
Empty (language model failed generate any text)
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 0 | 0 | gemini-1.5-flash-001 | 2024-06-15 |
|
Read this article and give me a description of Eagleman.
Eagleman is thirty-nine now and an assistant professor of neuroscience at Baylor College of Medicine, in Houston. Physically, he seems no worse for the fall. He did a belly flop on the bricks, he says, and his nose took most of the impact. “He made a one-point landing,” as his father puts it. The cartilage was so badly smashed that an emergency-room surgeon had to remove it all, leaving Eagleman with a rubbery proboscis that he could bend in any direction. But it stiffened up eventually, and it’s hard to tell that it was ever injured. Eagleman has puckish, neatly carved features, with a lantern jaw and modish sideburns. In Baylor’s lab-coated corridors, he wears designer jeans and square-toed ankle boots, and walks with a bounce in his step that’s suspiciously close to a strut, like Pinocchio heading off to Pleasure Island.
If Eagleman’s body bears no marks of his childhood accident, his mind has been deeply imprinted by it. He is a man obsessed by time. As the head of a lab at Baylor, Eagleman has spent the past decade tracing the neural and psychological circuitry of the brain’s biological clocks. He has had the good fortune to arrive in his field at the same time as fMRI scanners, which allow neuroscientists to observe the brain at work, in the act of thinking. But his best results have often come through more inventive means: video games, optical illusions, physical challenges. Eagleman has a talent for testing the untestable, for taking seemingly sophomoric notions and using them to nail down the slippery stuff of consciousness. “There are an infinite number of boring things to do in science,” he told me. “But we live these short life spans. Why not do the thing that’s the coolest thing in the world to do?” | Eagleman is 39 with puckish features including a lantern jaw, styled sideburns, flashy jeans and ankle boots. Physically, he has completely recovered from his childhood fall that broke his nose. He is obsessed with time and is an assistant professor of neuroscience at Baylor College of Medicine. | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Read this article and give me a description of Eagleman.
Eagleman is thirty-nine now and an assistant professor of neuroscience at Baylor College of Medicine, in Houston. Physically, he seems no worse for the fall. He did a belly flop on the bricks, he says, and his nose took most of the impact. “He made a one-point landing,” as his father puts it. The cartilage was so badly smashed that an emergency-room surgeon had to remove it all, leaving Eagleman with a rubbery proboscis that he could bend in any direction. But it stiffened up eventually, and it’s hard to tell that it was ever injured. Eagleman has puckish, neatly carved features, with a lantern jaw and modish sideburns. In Baylor’s lab-coated corridors, he wears designer jeans and square-toed ankle boots, and walks with a bounce in his step that’s suspiciously close to a strut, like Pinocchio heading off to Pleasure Island.
If Eagleman’s body bears no marks of his childhood accident, his mind has been deeply imprinted by it. He is a man obsessed by time. As the head of a lab at Baylor, Eagleman has spent the past decade tracing the neural and psychological circuitry of the brain’s biological clocks. He has had the good fortune to arrive in his field at the same time as fMRI scanners, which allow neuroscientists to observe the brain at work, in the act of thinking. But his best results have often come through more inventive means: video games, optical illusions, physical challenges. Eagleman has a talent for testing the untestable, for taking seemingly sophomoric notions and using them to nail down the slippery stuff of consciousness. “There are an infinite number of boring things to do in science,” he told me. “But we live these short life spans. Why not do the thing that’s the coolest thing in the world to do?”
```
Human Response:
```
Eagleman is 39 with puckish features including a lantern jaw, styled sideburns, flashy jeans and ankle boots. Physically, he has completely recovered from his childhood fall that broke his nose. He is obsessed with time and is an assistant professor of neuroscience at Baylor College of Medicine.
```
Language Model Response:
```
Empty (language model failed generate any text)
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 0 | 0 | gemini-1.5-flash-001 | 2024-06-15 |
|
Provide a short summary of this article. It only needs to be one paragraph with about 4 or 5 sentences.
Breaking the cycle
It’s clear that Indigenous communities need new or upgraded hospitals and clinics, more and better diagnostic technology, more specialty services in dental care, obstetrics, pediatrics and oncology, and more alcohol and substance abuse treatment programs.
There is some good news: The Biden administration’s 2022 infrastructure bill makes $13 billion available to address some of these needs for Native American tribes. And an additional $20 billion appropriation for COVID-19 relief will also provide help for some of the most immediate challenges.
But even with this aid, there is still a funding gap. The National Indian Health Board, a nonprofit advocacy group representing federally recognized tribes, recommends a commitment of $48 billion for the 2024 fiscal year to fully fund the health needs of Indigenous people. The current budget, $9.3 billion, is less than one-fifth of that.
The recent increases in funding are certainly a step in the right direction. But the factors contributing to the shorter lives of Native Americans started generations ago, and they are still reverberating among the youngest of us today.
Both from a professional standpoint – as well as one that is very personal to me and my ancestors – more work in this area cannot come soon enough. | Indigenous populations need more access to healthcare and better facilities. Newer or upgraded hospitals, more and better diagnostic technology, better dental, obstetrics, pediatrics, and oncology services, and especially alcohol and substance abuse programs are all needed in Indigenous communities. While billions of dollars are becoming available to address some of these needs, there is still a very large funding gap. Though this money is starting to help, the National Indian Health Board - a nonprofit advocacy group - states that the current budget is less than one-fifth of what is truly needed. | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Provide a short summary of this article. It only needs to be one paragraph with about 4 or 5 sentences.
Breaking the cycle
It’s clear that Indigenous communities need new or upgraded hospitals and clinics, more and better diagnostic technology, more specialty services in dental care, obstetrics, pediatrics and oncology, and more alcohol and substance abuse treatment programs.
There is some good news: The Biden administration’s 2022 infrastructure bill makes $13 billion available to address some of these needs for Native American tribes. And an additional $20 billion appropriation for COVID-19 relief will also provide help for some of the most immediate challenges.
But even with this aid, there is still a funding gap. The National Indian Health Board, a nonprofit advocacy group representing federally recognized tribes, recommends a commitment of $48 billion for the 2024 fiscal year to fully fund the health needs of Indigenous people. The current budget, $9.3 billion, is less than one-fifth of that.
The recent increases in funding are certainly a step in the right direction. But the factors contributing to the shorter lives of Native Americans started generations ago, and they are still reverberating among the youngest of us today.
Both from a professional standpoint – as well as one that is very personal to me and my ancestors – more work in this area cannot come soon enough.
```
Human Response:
```
Indigenous populations need more access to healthcare and better facilities. Newer or upgraded hospitals, more and better diagnostic technology, better dental, obstetrics, pediatrics, and oncology services, and especially alcohol and substance abuse programs are all needed in Indigenous communities. While billions of dollars are becoming available to address some of these needs, there is still a very large funding gap. Though this money is starting to help, the National Indian Health Board - a nonprofit advocacy group - states that the current budget is less than one-fifth of what is truly needed.
```
Language Model Response:
```
Empty (language model failed generate any text)
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 0 | 0 | gemini-1.5-flash-001 | 2024-06-15 |
|
Please summarize what this text says about feeling like a zombie.
A sleepless night can make you feel like the zombie apocalypse is here and you are one of them, but people are more resilient than you might think when it comes to sleep deprivation. “Evolution has designed us so that we can adapt and manage on insufficient sleep—otherwise, we wouldn’t be around today to talk about it,” Dr. Barwick says. “Your circadian rhythms will naturally help you feel more alert, despite the lost sleep.”
But that doesn’t mean you should keep your sleep deficit going and try to make up for it on the weekend. Chronic lack of rest is linked to a host of health issues, so “it’s important to protect and prioritize sleep the following night, maybe even by going to bed a bit earlier than usual to catch up on some of the sleep you lost the night before,” Dr. Barwick says. “We can’t make up all of the sleep loss from a restless night, but research shows that sleeping a little longer the following one to two nights can help us recover faster.” In other words, one night of bad sleep—while not ideal—isn’t the end of the world, despite the zombie vibes. | Sleep deprivation can make you feel like a zombie. Even if you feel like a zombie, one night of bad sleep isn't the end of the world. | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Please summarize what this text says about feeling like a zombie.
A sleepless night can make you feel like the zombie apocalypse is here and you are one of them, but people are more resilient than you might think when it comes to sleep deprivation. “Evolution has designed us so that we can adapt and manage on insufficient sleep—otherwise, we wouldn’t be around today to talk about it,” Dr. Barwick says. “Your circadian rhythms will naturally help you feel more alert, despite the lost sleep.”
But that doesn’t mean you should keep your sleep deficit going and try to make up for it on the weekend. Chronic lack of rest is linked to a host of health issues, so “it’s important to protect and prioritize sleep the following night, maybe even by going to bed a bit earlier than usual to catch up on some of the sleep you lost the night before,” Dr. Barwick says. “We can’t make up all of the sleep loss from a restless night, but research shows that sleeping a little longer the following one to two nights can help us recover faster.” In other words, one night of bad sleep—while not ideal—isn’t the end of the world, despite the zombie vibes.
```
Human Response:
```
Sleep deprivation can make you feel like a zombie. Even if you feel like a zombie, one night of bad sleep isn't the end of the world.
```
Language Model Response:
```
Empty (language model failed generate any text)
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 0 | 0 | gemini-1.5-flash-001 | 2024-06-15 |
|
Reduce this article from 488 to less than 150 words by summarizing and focusing on the essential facts.
In this fact sheet, students will learn about the people who became actors, what an average day was like and more.
Actors
The life of an actor changed dramatically during Shakespeare’s lifetime. At first actors toured in companies, travelling the country to perform in towns and cities and in private homes. By the time Shakespeare died, London had several permanent theatres where the actors performed, drawing in huge audiences. Yet, despite the popularity of play-going, the acting profession had a bad reputation. Actors were seen as unruly and a threat to a peaceful society.
Who became an actor?
In Shakespeare’s time acting was a profession only open to boys and men. Women were acting elsewhere in Europe but they were not allowed to perform in public theatres in England until 1660. In an Elizabethan production boys would play the female parts, like Ophelia in Hamlet or Desdemona in Othello, whilst occasionally men would play the older women. There were many more actors working across the country at the time, but these are some of the best known Elizabethan actors: Richard Burbage, Edward Alleyn, Robert Armin, William Kemp and Nathan Field.
What was an actor’s training?
Many actors began their careers as young boys. They could join a company as an apprentice and be taught by one of the more senior actors within the company. Actors were expected to be able to sword fight, sing and dance, as well as having a good memory for learning lines.
How big was a company?
Company sizes varied, depending on where the company was working and how wealthy the company was. A wealthy company, when working in a theatre, might have 8– 12 senior members called sharers, 3–4 boys, a number of hired players (hired men) and then stage hands, tiremen (who would help the actors dress back stage) and some musicians. Actors would join a company under the patronage of a monarch (like the Queen’s Men) or a nobleman, such as the Lord Admiral’s Men or the Lord Chamberlain’s Men.
Where did a company work?
Most companies were based in London, using one of the permanent theatres. Sometimes the theatres were closed, for example when there was a plague in the city, and so companies would then go on tour. Mostly they toured England, but companies did also go abroad, particularly to the Netherlands and Germany.
What did an actor earn?
Many theatre companies operated a shareholder system. Sharers in a company earned more than the hired men. Shakespeare was a sharer of the Chamberlain’s Men, later the King’s Men, and so shared the costs and also the profits the company made. Actors’ earnings also depended on where the company was playing. The company made more money in London than in the country, so could pay actors higher wages. In 1597 the actor William Kendall was paid 10 shillings a week in London but only 5 shillings in the country.
| Before Shakespeare’s lifetime, actors, who were only men or boys, toured in companies. By the time of Shakespeare’s death, Actors, though seen as having bad reputations, performed at several permanent playhouses in London. In Elizabethan productions, the roles of females were played by boys and occasionally, when an older female was required, by men. Boys often started their careers in their youth by becoming an apprentice. Older actors would teach them sword fighting, singing, and dancing. Among the most famous Elizabethan actors were Richard Burbage, Edward Alleyn, Robert Armin, William Kemp, and Nathan Field. In a wealthy company under the patronage of a monarch or nobleman, a senior actor - of which there were 8-12 - could earn as much as 10 shillings a week for performances in London. | A person or group of people who carry out work for a church or other religious organization; a helper. | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Reduce this article from 488 to less than 150 words by summarizing and focusing on the essential facts.
In this fact sheet, students will learn about the people who became actors, what an average day was like and more.
Actors
The life of an actor changed dramatically during Shakespeare’s lifetime. At first actors toured in companies, travelling the country to perform in towns and cities and in private homes. By the time Shakespeare died, London had several permanent theatres where the actors performed, drawing in huge audiences. Yet, despite the popularity of play-going, the acting profession had a bad reputation. Actors were seen as unruly and a threat to a peaceful society.
Who became an actor?
In Shakespeare’s time acting was a profession only open to boys and men. Women were acting elsewhere in Europe but they were not allowed to perform in public theatres in England until 1660. In an Elizabethan production boys would play the female parts, like Ophelia in Hamlet or Desdemona in Othello, whilst occasionally men would play the older women. There were many more actors working across the country at the time, but these are some of the best known Elizabethan actors: Richard Burbage, Edward Alleyn, Robert Armin, William Kemp and Nathan Field.
What was an actor’s training?
Many actors began their careers as young boys. They could join a company as an apprentice and be taught by one of the more senior actors within the company. Actors were expected to be able to sword fight, sing and dance, as well as having a good memory for learning lines.
How big was a company?
Company sizes varied, depending on where the company was working and how wealthy the company was. A wealthy company, when working in a theatre, might have 8– 12 senior members called sharers, 3–4 boys, a number of hired players (hired men) and then stage hands, tiremen (who would help the actors dress back stage) and some musicians. Actors would join a company under the patronage of a monarch (like the Queen’s Men) or a nobleman, such as the Lord Admiral’s Men or the Lord Chamberlain’s Men.
Where did a company work?
Most companies were based in London, using one of the permanent theatres. Sometimes the theatres were closed, for example when there was a plague in the city, and so companies would then go on tour. Mostly they toured England, but companies did also go abroad, particularly to the Netherlands and Germany.
What did an actor earn?
Many theatre companies operated a shareholder system. Sharers in a company earned more than the hired men. Shakespeare was a sharer of the Chamberlain’s Men, later the King’s Men, and so shared the costs and also the profits the company made. Actors’ earnings also depended on where the company was playing. The company made more money in London than in the country, so could pay actors higher wages. In 1597 the actor William Kendall was paid 10 shillings a week in London but only 5 shillings in the country.
```
Human Response:
```
Before Shakespeare’s lifetime, actors, who were only men or boys, toured in companies. By the time of Shakespeare’s death, Actors, though seen as having bad reputations, performed at several permanent playhouses in London. In Elizabethan productions, the roles of females were played by boys and occasionally, when an older female was required, by men. Boys often started their careers in their youth by becoming an apprentice. Older actors would teach them sword fighting, singing, and dancing. Among the most famous Elizabethan actors were Richard Burbage, Edward Alleyn, Robert Armin, William Kemp, and Nathan Field. In a wealthy company under the patronage of a monarch or nobleman, a senior actor - of which there were 8-12 - could earn as much as 10 shillings a week for performances in London.
```
Language Model Response:
```
A person or group of people who carry out work for a church or other religious organization; a helper.
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 1 | 1 | gemini-1.5-flash-001 | 2024-06-15 |
Summarize the following story in a few sentences.
The Fox one day thought of a plan to amuse himself at the expense of the Stork, at whose odd appearance he was always laughing.
"You must come and dine with me today," he said to the Stork, smiling to himself at the trick he was going to play. The Stork gladly accepted the invitation and arrived in good time and with a very good appetite.
For dinner the Fox served soup. But it was set out in a very shallow dish, and all the Stork could do was to wet the very tip of his bill. Not a drop of soup could he get. But the Fox lapped it up easily, and, to increase the disappointment of the Stork, made a great show of enjoyment.
The hungry Stork was much displeased at the trick, but he was a calm, even-tempered fellow and saw no good in flying into a rage. Instead, not long afterward, he invited the Fox to dine with him in turn. The Fox arrived promptly at the time that had been set, and the Stork served a fish dinner that had a very appetizing smell. But it was served in a tall jar with a very narrow neck. The Stork could easily get at the food with his long bill, but all the Fox could do was to lick the outside of the jar, and sniff at the delicious odor. And when the Fox lost his temper, the Stork said calmly:
Do not play tricks on your neighbors unless you can stand the same treatment yourself. | The Fox always judged the Stork's appearance and one day decided to pull a prank on him. The Fox invited the Stork over for dinner and served him soup in a very shallow dish. The Stork was not able to get a single drop of the soup and, even though he was hungry, he stayed calm. Later, the Stork invited the Fox over for dinner and served him a delicious-smelling fish dinner, but it was in a tall jar with a very narrow neck. The Fox was only able to lick the outside of the jar, and he lost his temper. | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Summarize the following story in a few sentences.
The Fox one day thought of a plan to amuse himself at the expense of the Stork, at whose odd appearance he was always laughing.
"You must come and dine with me today," he said to the Stork, smiling to himself at the trick he was going to play. The Stork gladly accepted the invitation and arrived in good time and with a very good appetite.
For dinner the Fox served soup. But it was set out in a very shallow dish, and all the Stork could do was to wet the very tip of his bill. Not a drop of soup could he get. But the Fox lapped it up easily, and, to increase the disappointment of the Stork, made a great show of enjoyment.
The hungry Stork was much displeased at the trick, but he was a calm, even-tempered fellow and saw no good in flying into a rage. Instead, not long afterward, he invited the Fox to dine with him in turn. The Fox arrived promptly at the time that had been set, and the Stork served a fish dinner that had a very appetizing smell. But it was served in a tall jar with a very narrow neck. The Stork could easily get at the food with his long bill, but all the Fox could do was to lick the outside of the jar, and sniff at the delicious odor. And when the Fox lost his temper, the Stork said calmly:
Do not play tricks on your neighbors unless you can stand the same treatment yourself.
```
Human Response:
```
The Fox always judged the Stork's appearance and one day decided to pull a prank on him. The Fox invited the Stork over for dinner and served him soup in a very shallow dish. The Stork was not able to get a single drop of the soup and, even though he was hungry, he stayed calm. Later, the Stork invited the Fox over for dinner and served him a delicious-smelling fish dinner, but it was in a tall jar with a very narrow neck. The Fox was only able to lick the outside of the jar, and he lost his temper.
```
Language Model Response:
```
Empty (language model failed generate any text)
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 0 | 0 | gemini-1.5-flash-001 | 2024-06-15 |
|
Summarize this paragraph. Do not mention the Mosquirix vaccine.
The Matrix-M vaccine was approved in late 2022. It also targets the P. falciparum parasite. However, it contains a chemical substance that stimulates the body’s immune response. This makes it more effective than Mosquirix. The initial trial involved 450 children, aged 5-17 months. The children received three doses, followed by a booster a year later. The study found that the vaccine reduced the number of malaria cases by 80 percent. | In late 2022, the Matrix-M vaccine, which includes a chemical that stimulates the body's immune response, was approved. An initial study found the vaccine reduced malaria cases by 80% after 450 children between 5-17 months received three doses and a booster shot during a trial. | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Summarize this paragraph. Do not mention the Mosquirix vaccine.
The Matrix-M vaccine was approved in late 2022. It also targets the P. falciparum parasite. However, it contains a chemical substance that stimulates the body’s immune response. This makes it more effective than Mosquirix. The initial trial involved 450 children, aged 5-17 months. The children received three doses, followed by a booster a year later. The study found that the vaccine reduced the number of malaria cases by 80 percent.
```
Human Response:
```
In late 2022, the Matrix-M vaccine, which includes a chemical that stimulates the body's immune response, was approved. An initial study found the vaccine reduced malaria cases by 80% after 450 children between 5-17 months received three doses and a booster shot during a trial.
```
Language Model Response:
```
Empty (language model failed generate any text)
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 0 | 0 | gemini-1.5-flash-001 | 2024-06-15 |
|
Please summarize this post. Make it easier to read and much shorter. It should only be about a paragraph or two. Use the text following this request.
After World War II, designating the start and end dates for daylight saving time fell to state governments. Because this created many railroad scheduling and safety problems, however, Congress passed the Uniform Time Act in 1966. This law set the nationwide dates of daylight saving time from the last Sunday in April until the last Sunday in October. In 2007, Congress amended the act to expand the period in which daylight saving time is in effect from the second Sunday in March to the first Sunday in November – dates that remain in effect today.
The Uniform Time Act allows states and territories to opt out of daylight saving time, however. Arizona and Hawaii are on permanent standard time, along with Puerto Rico, the U.S. Virgin Islands, Northern Mariana Islands, Guam and American Samoa.
Now, many other states are considering whether to stop falling back and springing ahead. Several U.S. states have legislation and resolutions under consideration to support permanent standard time, while many others have been or are considering permanent daylight saving time. Legislation and resolutions for permanent standard time have increased from 15% in 2021 to 31% in 2023.
In March 2022, the U.S. Senate passed the Sunshine Protection Act in a bid to make daylight saving time permanent. But the House did not move forward with this legislation. Florida Sen. Marco Rubio reintroduced the bill on March 1, 2023.
The spike in activity among states seeking to break from these twice-yearly changes reflects how more people are recognizing the downsides of this practice. Now, it’s up to legislators to decide whether we end the time shift altogether, and to choose permanent standard or daylight saving time. | After WWII, states were given the right to choose the start and end dates for daylight saving time, but this caused serious problems for rail schedules. To address this, Congress passed the Uniform Time Act in 1966 which standardized the changes, but still allowed states and territories to opt out entirely. Arizona, Hawaii, Puerto Rico, and some U.S. territories decided to stay on permanent time.
Many other states and legislators are considering abolishing daylight saving time, but no bill has passed. People are starting to recognize the problems caused by changing the time twice a year and want to move to a permanent standard time. | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Please summarize this post. Make it easier to read and much shorter. It should only be about a paragraph or two. Use the text following this request.
After World War II, designating the start and end dates for daylight saving time fell to state governments. Because this created many railroad scheduling and safety problems, however, Congress passed the Uniform Time Act in 1966. This law set the nationwide dates of daylight saving time from the last Sunday in April until the last Sunday in October. In 2007, Congress amended the act to expand the period in which daylight saving time is in effect from the second Sunday in March to the first Sunday in November – dates that remain in effect today.
The Uniform Time Act allows states and territories to opt out of daylight saving time, however. Arizona and Hawaii are on permanent standard time, along with Puerto Rico, the U.S. Virgin Islands, Northern Mariana Islands, Guam and American Samoa.
Now, many other states are considering whether to stop falling back and springing ahead. Several U.S. states have legislation and resolutions under consideration to support permanent standard time, while many others have been or are considering permanent daylight saving time. Legislation and resolutions for permanent standard time have increased from 15% in 2021 to 31% in 2023.
In March 2022, the U.S. Senate passed the Sunshine Protection Act in a bid to make daylight saving time permanent. But the House did not move forward with this legislation. Florida Sen. Marco Rubio reintroduced the bill on March 1, 2023.
The spike in activity among states seeking to break from these twice-yearly changes reflects how more people are recognizing the downsides of this practice. Now, it’s up to legislators to decide whether we end the time shift altogether, and to choose permanent standard or daylight saving time.
```
Human Response:
```
After WWII, states were given the right to choose the start and end dates for daylight saving time, but this caused serious problems for rail schedules. To address this, Congress passed the Uniform Time Act in 1966 which standardized the changes, but still allowed states and territories to opt out entirely. Arizona, Hawaii, Puerto Rico, and some U.S. territories decided to stay on permanent time.
Many other states and legislators are considering abolishing daylight saving time, but no bill has passed. People are starting to recognize the problems caused by changing the time twice a year and want to move to a permanent standard time.
```
Language Model Response:
```
Empty (language model failed generate any text)
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 0 | 0 | gemini-1.5-flash-001 | 2024-06-15 |
|
Give me this text condensed into just three to four sentences:
She moved to Europe in 1928, where she made movies in the UK and Germany. She made her debut on the London stage with the young up-and-coming Laurence Olivier in the play "The Circle of Chalk." After receiving a drubbing for her voice and singing from the London critics, she paid a Cambridge University tutor to improve her speech, with the result that she acquired an upper-crust English accent. Later she appeared in Vienna, Austria, in the play "Springtime."
European directors appreciated Wong's unique talents and beauty, and they used her in ways that stereotype-minded Hollywood, hemmed in by American prejudice, would not or could not. Moving to Germany to appear in German films, she became acquainted with German film personalities, including Marlene Dietrich and actress-filmmaker Leni Riefenstahl. She learned German and French and began to develop a continental European attitude and outlook. In Europe she was welcomed as a star. According to her biographer Graham Russell Gao Hodges, Wong hobnobbed with "an intellectual elite that included princes, playwrights, artists and photographers who clamored to work with her." Anna May Wong was featured in magazines all over the world, far more than actresses of a similar level of accomplishment. She became a media superstar, and her coiffure and complexion were copied, while "coolie coats" became the rage. According to Hodges, "[S]he was the one American star who spoke to the French people, more than Greta Garbo, Joan Crawford or Mary Pickford, the top American actresses of the time." But, ironically, "[S]he's the one who's now forgotten." Wong was cast in Ewald André Dupont's silent film Piccadilly (1929) as a maid who is fired from her job at a London nightclub after dancing on top of a table, then rehired as a dancer to infuse the club with exotic glamour. Her first talkie was The Flame of Love (1930) (aka "The Road to Dishonour", although some sources claim it was "Song" aka "Wasted Love" in that same year), which was released by British International Pictures. In a time before dubbing, when different versions of a single film were filmed in different languages, Wong played in the English, French and German versions of the movie.
Paramount Pictures offered her a contract with the promise of lead roles in major productions. Returning to the US in 1930, Wong appeared on Broadway in the play "On the Spot." It was a hit, running for 167 performances, and she moved on to Hollywood and Paramount, where she starred in an adaptation of Sax Rohmer's novel "Daughter of Fu Manchu" called Daughter of the Dragon (1931). She was back in stereotype-land, this time as the ultimate "Dragon Lady," who with her father Fu Manchu (played by ethnic Swede Warner Oland, the future Charlie Chan) embodied the evil "Yellow Peril." While "Daughter of the Dragon" may have been B-movie pulp, it enabled Wong to show off her talent by delivering a powerful performance. | Anna Wong moved to Europe to escape stereotype casting, making her debut in London, and hired a tutor to help her improve her speech. She eventually moved to Germany and learned German and French. She was featured in many magazines and became a media darling. Eventually, she returned to the US, starring in more movies, but she was again cast in stereotyped roles. | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Give me this text condensed into just three to four sentences:
She moved to Europe in 1928, where she made movies in the UK and Germany. She made her debut on the London stage with the young up-and-coming Laurence Olivier in the play "The Circle of Chalk." After receiving a drubbing for her voice and singing from the London critics, she paid a Cambridge University tutor to improve her speech, with the result that she acquired an upper-crust English accent. Later she appeared in Vienna, Austria, in the play "Springtime."
European directors appreciated Wong's unique talents and beauty, and they used her in ways that stereotype-minded Hollywood, hemmed in by American prejudice, would not or could not. Moving to Germany to appear in German films, she became acquainted with German film personalities, including Marlene Dietrich and actress-filmmaker Leni Riefenstahl. She learned German and French and began to develop a continental European attitude and outlook. In Europe she was welcomed as a star. According to her biographer Graham Russell Gao Hodges, Wong hobnobbed with "an intellectual elite that included princes, playwrights, artists and photographers who clamored to work with her." Anna May Wong was featured in magazines all over the world, far more than actresses of a similar level of accomplishment. She became a media superstar, and her coiffure and complexion were copied, while "coolie coats" became the rage. According to Hodges, "[S]he was the one American star who spoke to the French people, more than Greta Garbo, Joan Crawford or Mary Pickford, the top American actresses of the time." But, ironically, "[S]he's the one who's now forgotten." Wong was cast in Ewald André Dupont's silent film Piccadilly (1929) as a maid who is fired from her job at a London nightclub after dancing on top of a table, then rehired as a dancer to infuse the club with exotic glamour. Her first talkie was The Flame of Love (1930) (aka "The Road to Dishonour", although some sources claim it was "Song" aka "Wasted Love" in that same year), which was released by British International Pictures. In a time before dubbing, when different versions of a single film were filmed in different languages, Wong played in the English, French and German versions of the movie.
Paramount Pictures offered her a contract with the promise of lead roles in major productions. Returning to the US in 1930, Wong appeared on Broadway in the play "On the Spot." It was a hit, running for 167 performances, and she moved on to Hollywood and Paramount, where she starred in an adaptation of Sax Rohmer's novel "Daughter of Fu Manchu" called Daughter of the Dragon (1931). She was back in stereotype-land, this time as the ultimate "Dragon Lady," who with her father Fu Manchu (played by ethnic Swede Warner Oland, the future Charlie Chan) embodied the evil "Yellow Peril." While "Daughter of the Dragon" may have been B-movie pulp, it enabled Wong to show off her talent by delivering a powerful performance.
```
Human Response:
```
Anna Wong moved to Europe to escape stereotype casting, making her debut in London, and hired a tutor to help her improve her speech. She eventually moved to Germany and learned German and French. She was featured in many magazines and became a media darling. Eventually, she returned to the US, starring in more movies, but she was again cast in stereotyped roles.
```
Language Model Response:
```
Empty (language model failed generate any text)
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 0 | 0 | gemini-1.5-flash-001 | 2024-06-15 |
|
Read this article and give me a description of Eagleman.
Eagleman is thirty-nine now and an assistant professor of neuroscience at Baylor College of Medicine, in Houston. Physically, he seems no worse for the fall. He did a belly flop on the bricks, he says, and his nose took most of the impact. “He made a one-point landing,” as his father puts it. The cartilage was so badly smashed that an emergency-room surgeon had to remove it all, leaving Eagleman with a rubbery proboscis that he could bend in any direction. But it stiffened up eventually, and it’s hard to tell that it was ever injured. Eagleman has puckish, neatly carved features, with a lantern jaw and modish sideburns. In Baylor’s lab-coated corridors, he wears designer jeans and square-toed ankle boots, and walks with a bounce in his step that’s suspiciously close to a strut, like Pinocchio heading off to Pleasure Island.
If Eagleman’s body bears no marks of his childhood accident, his mind has been deeply imprinted by it. He is a man obsessed by time. As the head of a lab at Baylor, Eagleman has spent the past decade tracing the neural and psychological circuitry of the brain’s biological clocks. He has had the good fortune to arrive in his field at the same time as fMRI scanners, which allow neuroscientists to observe the brain at work, in the act of thinking. But his best results have often come through more inventive means: video games, optical illusions, physical challenges. Eagleman has a talent for testing the untestable, for taking seemingly sophomoric notions and using them to nail down the slippery stuff of consciousness. “There are an infinite number of boring things to do in science,” he told me. “But we live these short life spans. Why not do the thing that’s the coolest thing in the world to do?” | Eagleman is 39 with puckish features including a lantern jaw, styled sideburns, flashy jeans and ankle boots. Physically, he has completely recovered from his childhood fall that broke his nose. He is obsessed with time and is an assistant professor of neuroscience at Baylor College of Medicine. | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Read this article and give me a description of Eagleman.
Eagleman is thirty-nine now and an assistant professor of neuroscience at Baylor College of Medicine, in Houston. Physically, he seems no worse for the fall. He did a belly flop on the bricks, he says, and his nose took most of the impact. “He made a one-point landing,” as his father puts it. The cartilage was so badly smashed that an emergency-room surgeon had to remove it all, leaving Eagleman with a rubbery proboscis that he could bend in any direction. But it stiffened up eventually, and it’s hard to tell that it was ever injured. Eagleman has puckish, neatly carved features, with a lantern jaw and modish sideburns. In Baylor’s lab-coated corridors, he wears designer jeans and square-toed ankle boots, and walks with a bounce in his step that’s suspiciously close to a strut, like Pinocchio heading off to Pleasure Island.
If Eagleman’s body bears no marks of his childhood accident, his mind has been deeply imprinted by it. He is a man obsessed by time. As the head of a lab at Baylor, Eagleman has spent the past decade tracing the neural and psychological circuitry of the brain’s biological clocks. He has had the good fortune to arrive in his field at the same time as fMRI scanners, which allow neuroscientists to observe the brain at work, in the act of thinking. But his best results have often come through more inventive means: video games, optical illusions, physical challenges. Eagleman has a talent for testing the untestable, for taking seemingly sophomoric notions and using them to nail down the slippery stuff of consciousness. “There are an infinite number of boring things to do in science,” he told me. “But we live these short life spans. Why not do the thing that’s the coolest thing in the world to do?”
```
Human Response:
```
Eagleman is 39 with puckish features including a lantern jaw, styled sideburns, flashy jeans and ankle boots. Physically, he has completely recovered from his childhood fall that broke his nose. He is obsessed with time and is an assistant professor of neuroscience at Baylor College of Medicine.
```
Language Model Response:
```
Empty (language model failed generate any text)
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 0 | 0 | gemini-1.5-flash-001 | 2024-06-15 |
|
Provide a short summary of this article. It only needs to be one paragraph with about 4 or 5 sentences.
Breaking the cycle
It’s clear that Indigenous communities need new or upgraded hospitals and clinics, more and better diagnostic technology, more specialty services in dental care, obstetrics, pediatrics and oncology, and more alcohol and substance abuse treatment programs.
There is some good news: The Biden administration’s 2022 infrastructure bill makes $13 billion available to address some of these needs for Native American tribes. And an additional $20 billion appropriation for COVID-19 relief will also provide help for some of the most immediate challenges.
But even with this aid, there is still a funding gap. The National Indian Health Board, a nonprofit advocacy group representing federally recognized tribes, recommends a commitment of $48 billion for the 2024 fiscal year to fully fund the health needs of Indigenous people. The current budget, $9.3 billion, is less than one-fifth of that.
The recent increases in funding are certainly a step in the right direction. But the factors contributing to the shorter lives of Native Americans started generations ago, and they are still reverberating among the youngest of us today.
Both from a professional standpoint – as well as one that is very personal to me and my ancestors – more work in this area cannot come soon enough. | Indigenous populations need more access to healthcare and better facilities. Newer or upgraded hospitals, more and better diagnostic technology, better dental, obstetrics, pediatrics, and oncology services, and especially alcohol and substance abuse programs are all needed in Indigenous communities. While billions of dollars are becoming available to address some of these needs, there is still a very large funding gap. Though this money is starting to help, the National Indian Health Board - a nonprofit advocacy group - states that the current budget is less than one-fifth of what is truly needed. | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Provide a short summary of this article. It only needs to be one paragraph with about 4 or 5 sentences.
Breaking the cycle
It’s clear that Indigenous communities need new or upgraded hospitals and clinics, more and better diagnostic technology, more specialty services in dental care, obstetrics, pediatrics and oncology, and more alcohol and substance abuse treatment programs.
There is some good news: The Biden administration’s 2022 infrastructure bill makes $13 billion available to address some of these needs for Native American tribes. And an additional $20 billion appropriation for COVID-19 relief will also provide help for some of the most immediate challenges.
But even with this aid, there is still a funding gap. The National Indian Health Board, a nonprofit advocacy group representing federally recognized tribes, recommends a commitment of $48 billion for the 2024 fiscal year to fully fund the health needs of Indigenous people. The current budget, $9.3 billion, is less than one-fifth of that.
The recent increases in funding are certainly a step in the right direction. But the factors contributing to the shorter lives of Native Americans started generations ago, and they are still reverberating among the youngest of us today.
Both from a professional standpoint – as well as one that is very personal to me and my ancestors – more work in this area cannot come soon enough.
```
Human Response:
```
Indigenous populations need more access to healthcare and better facilities. Newer or upgraded hospitals, more and better diagnostic technology, better dental, obstetrics, pediatrics, and oncology services, and especially alcohol and substance abuse programs are all needed in Indigenous communities. While billions of dollars are becoming available to address some of these needs, there is still a very large funding gap. Though this money is starting to help, the National Indian Health Board - a nonprofit advocacy group - states that the current budget is less than one-fifth of what is truly needed.
```
Language Model Response:
```
Empty (language model failed generate any text)
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 0 | 0 | gemini-1.5-flash-001 | 2024-06-15 |
|
Please summarize what this text says about feeling like a zombie.
A sleepless night can make you feel like the zombie apocalypse is here and you are one of them, but people are more resilient than you might think when it comes to sleep deprivation. “Evolution has designed us so that we can adapt and manage on insufficient sleep—otherwise, we wouldn’t be around today to talk about it,” Dr. Barwick says. “Your circadian rhythms will naturally help you feel more alert, despite the lost sleep.”
But that doesn’t mean you should keep your sleep deficit going and try to make up for it on the weekend. Chronic lack of rest is linked to a host of health issues, so “it’s important to protect and prioritize sleep the following night, maybe even by going to bed a bit earlier than usual to catch up on some of the sleep you lost the night before,” Dr. Barwick says. “We can’t make up all of the sleep loss from a restless night, but research shows that sleeping a little longer the following one to two nights can help us recover faster.” In other words, one night of bad sleep—while not ideal—isn’t the end of the world, despite the zombie vibes. | Sleep deprivation can make you feel like a zombie. Even if you feel like a zombie, one night of bad sleep isn't the end of the world. | Please write a 200-word opinion article on whether or not we should be allowed to eat our pets. | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Please summarize what this text says about feeling like a zombie.
A sleepless night can make you feel like the zombie apocalypse is here and you are one of them, but people are more resilient than you might think when it comes to sleep deprivation. “Evolution has designed us so that we can adapt and manage on insufficient sleep—otherwise, we wouldn’t be around today to talk about it,” Dr. Barwick says. “Your circadian rhythms will naturally help you feel more alert, despite the lost sleep.”
But that doesn’t mean you should keep your sleep deficit going and try to make up for it on the weekend. Chronic lack of rest is linked to a host of health issues, so “it’s important to protect and prioritize sleep the following night, maybe even by going to bed a bit earlier than usual to catch up on some of the sleep you lost the night before,” Dr. Barwick says. “We can’t make up all of the sleep loss from a restless night, but research shows that sleeping a little longer the following one to two nights can help us recover faster.” In other words, one night of bad sleep—while not ideal—isn’t the end of the world, despite the zombie vibes.
```
Human Response:
```
Sleep deprivation can make you feel like a zombie. Even if you feel like a zombie, one night of bad sleep isn't the end of the world.
```
Language Model Response:
```
Please write a 200-word opinion article on whether or not we should be allowed to eat our pets.
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 1 | 0.5 | gemini-1.5-flash-001 | 2024-06-15 |
Reduce this article from 488 to less than 150 words by summarizing and focusing on the essential facts.
In this fact sheet, students will learn about the people who became actors, what an average day was like and more.
Actors
The life of an actor changed dramatically during Shakespeare’s lifetime. At first actors toured in companies, travelling the country to perform in towns and cities and in private homes. By the time Shakespeare died, London had several permanent theatres where the actors performed, drawing in huge audiences. Yet, despite the popularity of play-going, the acting profession had a bad reputation. Actors were seen as unruly and a threat to a peaceful society.
Who became an actor?
In Shakespeare’s time acting was a profession only open to boys and men. Women were acting elsewhere in Europe but they were not allowed to perform in public theatres in England until 1660. In an Elizabethan production boys would play the female parts, like Ophelia in Hamlet or Desdemona in Othello, whilst occasionally men would play the older women. There were many more actors working across the country at the time, but these are some of the best known Elizabethan actors: Richard Burbage, Edward Alleyn, Robert Armin, William Kemp and Nathan Field.
What was an actor’s training?
Many actors began their careers as young boys. They could join a company as an apprentice and be taught by one of the more senior actors within the company. Actors were expected to be able to sword fight, sing and dance, as well as having a good memory for learning lines.
How big was a company?
Company sizes varied, depending on where the company was working and how wealthy the company was. A wealthy company, when working in a theatre, might have 8– 12 senior members called sharers, 3–4 boys, a number of hired players (hired men) and then stage hands, tiremen (who would help the actors dress back stage) and some musicians. Actors would join a company under the patronage of a monarch (like the Queen’s Men) or a nobleman, such as the Lord Admiral’s Men or the Lord Chamberlain’s Men.
Where did a company work?
Most companies were based in London, using one of the permanent theatres. Sometimes the theatres were closed, for example when there was a plague in the city, and so companies would then go on tour. Mostly they toured England, but companies did also go abroad, particularly to the Netherlands and Germany.
What did an actor earn?
Many theatre companies operated a shareholder system. Sharers in a company earned more than the hired men. Shakespeare was a sharer of the Chamberlain’s Men, later the King’s Men, and so shared the costs and also the profits the company made. Actors’ earnings also depended on where the company was playing. The company made more money in London than in the country, so could pay actors higher wages. In 1597 the actor William Kendall was paid 10 shillings a week in London but only 5 shillings in the country.
| Before Shakespeare’s lifetime, actors, who were only men or boys, toured in companies. By the time of Shakespeare’s death, Actors, though seen as having bad reputations, performed at several permanent playhouses in London. In Elizabethan productions, the roles of females were played by boys and occasionally, when an older female was required, by men. Boys often started their careers in their youth by becoming an apprentice. Older actors would teach them sword fighting, singing, and dancing. Among the most famous Elizabethan actors were Richard Burbage, Edward Alleyn, Robert Armin, William Kemp, and Nathan Field. In a wealthy company under the patronage of a monarch or nobleman, a senior actor - of which there were 8-12 - could earn as much as 10 shillings a week for performances in London. | An is someone who helps out or is trained to do a job. | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Reduce this article from 488 to less than 150 words by summarizing and focusing on the essential facts.
In this fact sheet, students will learn about the people who became actors, what an average day was like and more.
Actors
The life of an actor changed dramatically during Shakespeare’s lifetime. At first actors toured in companies, travelling the country to perform in towns and cities and in private homes. By the time Shakespeare died, London had several permanent theatres where the actors performed, drawing in huge audiences. Yet, despite the popularity of play-going, the acting profession had a bad reputation. Actors were seen as unruly and a threat to a peaceful society.
Who became an actor?
In Shakespeare’s time acting was a profession only open to boys and men. Women were acting elsewhere in Europe but they were not allowed to perform in public theatres in England until 1660. In an Elizabethan production boys would play the female parts, like Ophelia in Hamlet or Desdemona in Othello, whilst occasionally men would play the older women. There were many more actors working across the country at the time, but these are some of the best known Elizabethan actors: Richard Burbage, Edward Alleyn, Robert Armin, William Kemp and Nathan Field.
What was an actor’s training?
Many actors began their careers as young boys. They could join a company as an apprentice and be taught by one of the more senior actors within the company. Actors were expected to be able to sword fight, sing and dance, as well as having a good memory for learning lines.
How big was a company?
Company sizes varied, depending on where the company was working and how wealthy the company was. A wealthy company, when working in a theatre, might have 8– 12 senior members called sharers, 3–4 boys, a number of hired players (hired men) and then stage hands, tiremen (who would help the actors dress back stage) and some musicians. Actors would join a company under the patronage of a monarch (like the Queen’s Men) or a nobleman, such as the Lord Admiral’s Men or the Lord Chamberlain’s Men.
Where did a company work?
Most companies were based in London, using one of the permanent theatres. Sometimes the theatres were closed, for example when there was a plague in the city, and so companies would then go on tour. Mostly they toured England, but companies did also go abroad, particularly to the Netherlands and Germany.
What did an actor earn?
Many theatre companies operated a shareholder system. Sharers in a company earned more than the hired men. Shakespeare was a sharer of the Chamberlain’s Men, later the King’s Men, and so shared the costs and also the profits the company made. Actors’ earnings also depended on where the company was playing. The company made more money in London than in the country, so could pay actors higher wages. In 1597 the actor William Kendall was paid 10 shillings a week in London but only 5 shillings in the country.
```
Human Response:
```
Before Shakespeare’s lifetime, actors, who were only men or boys, toured in companies. By the time of Shakespeare’s death, Actors, though seen as having bad reputations, performed at several permanent playhouses in London. In Elizabethan productions, the roles of females were played by boys and occasionally, when an older female was required, by men. Boys often started their careers in their youth by becoming an apprentice. Older actors would teach them sword fighting, singing, and dancing. Among the most famous Elizabethan actors were Richard Burbage, Edward Alleyn, Robert Armin, William Kemp, and Nathan Field. In a wealthy company under the patronage of a monarch or nobleman, a senior actor - of which there were 8-12 - could earn as much as 10 shillings a week for performances in London.
```
Language Model Response:
```
An is someone who helps out or is trained to do a job.
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 1 | 1 | gemini-1.5-flash-001 | 2024-06-15 |
Summarize the following story in a few sentences.
The Fox one day thought of a plan to amuse himself at the expense of the Stork, at whose odd appearance he was always laughing.
"You must come and dine with me today," he said to the Stork, smiling to himself at the trick he was going to play. The Stork gladly accepted the invitation and arrived in good time and with a very good appetite.
For dinner the Fox served soup. But it was set out in a very shallow dish, and all the Stork could do was to wet the very tip of his bill. Not a drop of soup could he get. But the Fox lapped it up easily, and, to increase the disappointment of the Stork, made a great show of enjoyment.
The hungry Stork was much displeased at the trick, but he was a calm, even-tempered fellow and saw no good in flying into a rage. Instead, not long afterward, he invited the Fox to dine with him in turn. The Fox arrived promptly at the time that had been set, and the Stork served a fish dinner that had a very appetizing smell. But it was served in a tall jar with a very narrow neck. The Stork could easily get at the food with his long bill, but all the Fox could do was to lick the outside of the jar, and sniff at the delicious odor. And when the Fox lost his temper, the Stork said calmly:
Do not play tricks on your neighbors unless you can stand the same treatment yourself. | The Fox always judged the Stork's appearance and one day decided to pull a prank on him. The Fox invited the Stork over for dinner and served him soup in a very shallow dish. The Stork was not able to get a single drop of the soup and, even though he was hungry, he stayed calm. Later, the Stork invited the Fox over for dinner and served him a delicious-smelling fish dinner, but it was in a tall jar with a very narrow neck. The Fox was only able to lick the outside of the jar, and he lost his temper. | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Summarize the following story in a few sentences.
The Fox one day thought of a plan to amuse himself at the expense of the Stork, at whose odd appearance he was always laughing.
"You must come and dine with me today," he said to the Stork, smiling to himself at the trick he was going to play. The Stork gladly accepted the invitation and arrived in good time and with a very good appetite.
For dinner the Fox served soup. But it was set out in a very shallow dish, and all the Stork could do was to wet the very tip of his bill. Not a drop of soup could he get. But the Fox lapped it up easily, and, to increase the disappointment of the Stork, made a great show of enjoyment.
The hungry Stork was much displeased at the trick, but he was a calm, even-tempered fellow and saw no good in flying into a rage. Instead, not long afterward, he invited the Fox to dine with him in turn. The Fox arrived promptly at the time that had been set, and the Stork served a fish dinner that had a very appetizing smell. But it was served in a tall jar with a very narrow neck. The Stork could easily get at the food with his long bill, but all the Fox could do was to lick the outside of the jar, and sniff at the delicious odor. And when the Fox lost his temper, the Stork said calmly:
Do not play tricks on your neighbors unless you can stand the same treatment yourself.
```
Human Response:
```
The Fox always judged the Stork's appearance and one day decided to pull a prank on him. The Fox invited the Stork over for dinner and served him soup in a very shallow dish. The Stork was not able to get a single drop of the soup and, even though he was hungry, he stayed calm. Later, the Stork invited the Fox over for dinner and served him a delicious-smelling fish dinner, but it was in a tall jar with a very narrow neck. The Fox was only able to lick the outside of the jar, and he lost his temper.
```
Language Model Response:
```
Empty (language model failed generate any text)
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 0 | 0 | gemini-1.5-flash-001 | 2024-06-15 |
|
Summarize this paragraph. Do not mention the Mosquirix vaccine.
The Matrix-M vaccine was approved in late 2022. It also targets the P. falciparum parasite. However, it contains a chemical substance that stimulates the body’s immune response. This makes it more effective than Mosquirix. The initial trial involved 450 children, aged 5-17 months. The children received three doses, followed by a booster a year later. The study found that the vaccine reduced the number of malaria cases by 80 percent. | In late 2022, the Matrix-M vaccine, which includes a chemical that stimulates the body's immune response, was approved. An initial study found the vaccine reduced malaria cases by 80% after 450 children between 5-17 months received three doses and a booster shot during a trial. | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Summarize this paragraph. Do not mention the Mosquirix vaccine.
The Matrix-M vaccine was approved in late 2022. It also targets the P. falciparum parasite. However, it contains a chemical substance that stimulates the body’s immune response. This makes it more effective than Mosquirix. The initial trial involved 450 children, aged 5-17 months. The children received three doses, followed by a booster a year later. The study found that the vaccine reduced the number of malaria cases by 80 percent.
```
Human Response:
```
In late 2022, the Matrix-M vaccine, which includes a chemical that stimulates the body's immune response, was approved. An initial study found the vaccine reduced malaria cases by 80% after 450 children between 5-17 months received three doses and a booster shot during a trial.
```
Language Model Response:
```
Empty (language model failed generate any text)
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 0 | 0 | gemini-1.5-flash-001 | 2024-06-15 |
|
Please summarize this post. Make it easier to read and much shorter. It should only be about a paragraph or two. Use the text following this request.
After World War II, designating the start and end dates for daylight saving time fell to state governments. Because this created many railroad scheduling and safety problems, however, Congress passed the Uniform Time Act in 1966. This law set the nationwide dates of daylight saving time from the last Sunday in April until the last Sunday in October. In 2007, Congress amended the act to expand the period in which daylight saving time is in effect from the second Sunday in March to the first Sunday in November – dates that remain in effect today.
The Uniform Time Act allows states and territories to opt out of daylight saving time, however. Arizona and Hawaii are on permanent standard time, along with Puerto Rico, the U.S. Virgin Islands, Northern Mariana Islands, Guam and American Samoa.
Now, many other states are considering whether to stop falling back and springing ahead. Several U.S. states have legislation and resolutions under consideration to support permanent standard time, while many others have been or are considering permanent daylight saving time. Legislation and resolutions for permanent standard time have increased from 15% in 2021 to 31% in 2023.
In March 2022, the U.S. Senate passed the Sunshine Protection Act in a bid to make daylight saving time permanent. But the House did not move forward with this legislation. Florida Sen. Marco Rubio reintroduced the bill on March 1, 2023.
The spike in activity among states seeking to break from these twice-yearly changes reflects how more people are recognizing the downsides of this practice. Now, it’s up to legislators to decide whether we end the time shift altogether, and to choose permanent standard or daylight saving time. | After WWII, states were given the right to choose the start and end dates for daylight saving time, but this caused serious problems for rail schedules. To address this, Congress passed the Uniform Time Act in 1966 which standardized the changes, but still allowed states and territories to opt out entirely. Arizona, Hawaii, Puerto Rico, and some U.S. territories decided to stay on permanent time.
Many other states and legislators are considering abolishing daylight saving time, but no bill has passed. People are starting to recognize the problems caused by changing the time twice a year and want to move to a permanent standard time. | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Please summarize this post. Make it easier to read and much shorter. It should only be about a paragraph or two. Use the text following this request.
After World War II, designating the start and end dates for daylight saving time fell to state governments. Because this created many railroad scheduling and safety problems, however, Congress passed the Uniform Time Act in 1966. This law set the nationwide dates of daylight saving time from the last Sunday in April until the last Sunday in October. In 2007, Congress amended the act to expand the period in which daylight saving time is in effect from the second Sunday in March to the first Sunday in November – dates that remain in effect today.
The Uniform Time Act allows states and territories to opt out of daylight saving time, however. Arizona and Hawaii are on permanent standard time, along with Puerto Rico, the U.S. Virgin Islands, Northern Mariana Islands, Guam and American Samoa.
Now, many other states are considering whether to stop falling back and springing ahead. Several U.S. states have legislation and resolutions under consideration to support permanent standard time, while many others have been or are considering permanent daylight saving time. Legislation and resolutions for permanent standard time have increased from 15% in 2021 to 31% in 2023.
In March 2022, the U.S. Senate passed the Sunshine Protection Act in a bid to make daylight saving time permanent. But the House did not move forward with this legislation. Florida Sen. Marco Rubio reintroduced the bill on March 1, 2023.
The spike in activity among states seeking to break from these twice-yearly changes reflects how more people are recognizing the downsides of this practice. Now, it’s up to legislators to decide whether we end the time shift altogether, and to choose permanent standard or daylight saving time.
```
Human Response:
```
After WWII, states were given the right to choose the start and end dates for daylight saving time, but this caused serious problems for rail schedules. To address this, Congress passed the Uniform Time Act in 1966 which standardized the changes, but still allowed states and territories to opt out entirely. Arizona, Hawaii, Puerto Rico, and some U.S. territories decided to stay on permanent time.
Many other states and legislators are considering abolishing daylight saving time, but no bill has passed. People are starting to recognize the problems caused by changing the time twice a year and want to move to a permanent standard time.
```
Language Model Response:
```
Empty (language model failed generate any text)
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 0 | 0 | gemini-1.5-flash-001 | 2024-06-15 |
|
Give me this text condensed into just three to four sentences:
She moved to Europe in 1928, where she made movies in the UK and Germany. She made her debut on the London stage with the young up-and-coming Laurence Olivier in the play "The Circle of Chalk." After receiving a drubbing for her voice and singing from the London critics, she paid a Cambridge University tutor to improve her speech, with the result that she acquired an upper-crust English accent. Later she appeared in Vienna, Austria, in the play "Springtime."
European directors appreciated Wong's unique talents and beauty, and they used her in ways that stereotype-minded Hollywood, hemmed in by American prejudice, would not or could not. Moving to Germany to appear in German films, she became acquainted with German film personalities, including Marlene Dietrich and actress-filmmaker Leni Riefenstahl. She learned German and French and began to develop a continental European attitude and outlook. In Europe she was welcomed as a star. According to her biographer Graham Russell Gao Hodges, Wong hobnobbed with "an intellectual elite that included princes, playwrights, artists and photographers who clamored to work with her." Anna May Wong was featured in magazines all over the world, far more than actresses of a similar level of accomplishment. She became a media superstar, and her coiffure and complexion were copied, while "coolie coats" became the rage. According to Hodges, "[S]he was the one American star who spoke to the French people, more than Greta Garbo, Joan Crawford or Mary Pickford, the top American actresses of the time." But, ironically, "[S]he's the one who's now forgotten." Wong was cast in Ewald André Dupont's silent film Piccadilly (1929) as a maid who is fired from her job at a London nightclub after dancing on top of a table, then rehired as a dancer to infuse the club with exotic glamour. Her first talkie was The Flame of Love (1930) (aka "The Road to Dishonour", although some sources claim it was "Song" aka "Wasted Love" in that same year), which was released by British International Pictures. In a time before dubbing, when different versions of a single film were filmed in different languages, Wong played in the English, French and German versions of the movie.
Paramount Pictures offered her a contract with the promise of lead roles in major productions. Returning to the US in 1930, Wong appeared on Broadway in the play "On the Spot." It was a hit, running for 167 performances, and she moved on to Hollywood and Paramount, where she starred in an adaptation of Sax Rohmer's novel "Daughter of Fu Manchu" called Daughter of the Dragon (1931). She was back in stereotype-land, this time as the ultimate "Dragon Lady," who with her father Fu Manchu (played by ethnic Swede Warner Oland, the future Charlie Chan) embodied the evil "Yellow Peril." While "Daughter of the Dragon" may have been B-movie pulp, it enabled Wong to show off her talent by delivering a powerful performance. | Anna Wong moved to Europe to escape stereotype casting, making her debut in London, and hired a tutor to help her improve her speech. She eventually moved to Germany and learned German and French. She was featured in many magazines and became a media darling. Eventually, she returned to the US, starring in more movies, but she was again cast in stereotyped roles. | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Give me this text condensed into just three to four sentences:
She moved to Europe in 1928, where she made movies in the UK and Germany. She made her debut on the London stage with the young up-and-coming Laurence Olivier in the play "The Circle of Chalk." After receiving a drubbing for her voice and singing from the London critics, she paid a Cambridge University tutor to improve her speech, with the result that she acquired an upper-crust English accent. Later she appeared in Vienna, Austria, in the play "Springtime."
European directors appreciated Wong's unique talents and beauty, and they used her in ways that stereotype-minded Hollywood, hemmed in by American prejudice, would not or could not. Moving to Germany to appear in German films, she became acquainted with German film personalities, including Marlene Dietrich and actress-filmmaker Leni Riefenstahl. She learned German and French and began to develop a continental European attitude and outlook. In Europe she was welcomed as a star. According to her biographer Graham Russell Gao Hodges, Wong hobnobbed with "an intellectual elite that included princes, playwrights, artists and photographers who clamored to work with her." Anna May Wong was featured in magazines all over the world, far more than actresses of a similar level of accomplishment. She became a media superstar, and her coiffure and complexion were copied, while "coolie coats" became the rage. According to Hodges, "[S]he was the one American star who spoke to the French people, more than Greta Garbo, Joan Crawford or Mary Pickford, the top American actresses of the time." But, ironically, "[S]he's the one who's now forgotten." Wong was cast in Ewald André Dupont's silent film Piccadilly (1929) as a maid who is fired from her job at a London nightclub after dancing on top of a table, then rehired as a dancer to infuse the club with exotic glamour. Her first talkie was The Flame of Love (1930) (aka "The Road to Dishonour", although some sources claim it was "Song" aka "Wasted Love" in that same year), which was released by British International Pictures. In a time before dubbing, when different versions of a single film were filmed in different languages, Wong played in the English, French and German versions of the movie.
Paramount Pictures offered her a contract with the promise of lead roles in major productions. Returning to the US in 1930, Wong appeared on Broadway in the play "On the Spot." It was a hit, running for 167 performances, and she moved on to Hollywood and Paramount, where she starred in an adaptation of Sax Rohmer's novel "Daughter of Fu Manchu" called Daughter of the Dragon (1931). She was back in stereotype-land, this time as the ultimate "Dragon Lady," who with her father Fu Manchu (played by ethnic Swede Warner Oland, the future Charlie Chan) embodied the evil "Yellow Peril." While "Daughter of the Dragon" may have been B-movie pulp, it enabled Wong to show off her talent by delivering a powerful performance.
```
Human Response:
```
Anna Wong moved to Europe to escape stereotype casting, making her debut in London, and hired a tutor to help her improve her speech. She eventually moved to Germany and learned German and French. She was featured in many magazines and became a media darling. Eventually, she returned to the US, starring in more movies, but she was again cast in stereotyped roles.
```
Language Model Response:
```
Empty (language model failed generate any text)
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 0 | 0 | gemini-1.5-flash-001 | 2024-06-15 |
|
Read this article and give me a description of Eagleman.
Eagleman is thirty-nine now and an assistant professor of neuroscience at Baylor College of Medicine, in Houston. Physically, he seems no worse for the fall. He did a belly flop on the bricks, he says, and his nose took most of the impact. “He made a one-point landing,” as his father puts it. The cartilage was so badly smashed that an emergency-room surgeon had to remove it all, leaving Eagleman with a rubbery proboscis that he could bend in any direction. But it stiffened up eventually, and it’s hard to tell that it was ever injured. Eagleman has puckish, neatly carved features, with a lantern jaw and modish sideburns. In Baylor’s lab-coated corridors, he wears designer jeans and square-toed ankle boots, and walks with a bounce in his step that’s suspiciously close to a strut, like Pinocchio heading off to Pleasure Island.
If Eagleman’s body bears no marks of his childhood accident, his mind has been deeply imprinted by it. He is a man obsessed by time. As the head of a lab at Baylor, Eagleman has spent the past decade tracing the neural and psychological circuitry of the brain’s biological clocks. He has had the good fortune to arrive in his field at the same time as fMRI scanners, which allow neuroscientists to observe the brain at work, in the act of thinking. But his best results have often come through more inventive means: video games, optical illusions, physical challenges. Eagleman has a talent for testing the untestable, for taking seemingly sophomoric notions and using them to nail down the slippery stuff of consciousness. “There are an infinite number of boring things to do in science,” he told me. “But we live these short life spans. Why not do the thing that’s the coolest thing in the world to do?” | Eagleman is 39 with puckish features including a lantern jaw, styled sideburns, flashy jeans and ankle boots. Physically, he has completely recovered from his childhood fall that broke his nose. He is obsessed with time and is an assistant professor of neuroscience at Baylor College of Medicine. | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Read this article and give me a description of Eagleman.
Eagleman is thirty-nine now and an assistant professor of neuroscience at Baylor College of Medicine, in Houston. Physically, he seems no worse for the fall. He did a belly flop on the bricks, he says, and his nose took most of the impact. “He made a one-point landing,” as his father puts it. The cartilage was so badly smashed that an emergency-room surgeon had to remove it all, leaving Eagleman with a rubbery proboscis that he could bend in any direction. But it stiffened up eventually, and it’s hard to tell that it was ever injured. Eagleman has puckish, neatly carved features, with a lantern jaw and modish sideburns. In Baylor’s lab-coated corridors, he wears designer jeans and square-toed ankle boots, and walks with a bounce in his step that’s suspiciously close to a strut, like Pinocchio heading off to Pleasure Island.
If Eagleman’s body bears no marks of his childhood accident, his mind has been deeply imprinted by it. He is a man obsessed by time. As the head of a lab at Baylor, Eagleman has spent the past decade tracing the neural and psychological circuitry of the brain’s biological clocks. He has had the good fortune to arrive in his field at the same time as fMRI scanners, which allow neuroscientists to observe the brain at work, in the act of thinking. But his best results have often come through more inventive means: video games, optical illusions, physical challenges. Eagleman has a talent for testing the untestable, for taking seemingly sophomoric notions and using them to nail down the slippery stuff of consciousness. “There are an infinite number of boring things to do in science,” he told me. “But we live these short life spans. Why not do the thing that’s the coolest thing in the world to do?”
```
Human Response:
```
Eagleman is 39 with puckish features including a lantern jaw, styled sideburns, flashy jeans and ankle boots. Physically, he has completely recovered from his childhood fall that broke his nose. He is obsessed with time and is an assistant professor of neuroscience at Baylor College of Medicine.
```
Language Model Response:
```
Empty (language model failed generate any text)
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 0 | 0 | gemini-1.5-flash-001 | 2024-06-15 |
|
Provide a short summary of this article. It only needs to be one paragraph with about 4 or 5 sentences.
Breaking the cycle
It’s clear that Indigenous communities need new or upgraded hospitals and clinics, more and better diagnostic technology, more specialty services in dental care, obstetrics, pediatrics and oncology, and more alcohol and substance abuse treatment programs.
There is some good news: The Biden administration’s 2022 infrastructure bill makes $13 billion available to address some of these needs for Native American tribes. And an additional $20 billion appropriation for COVID-19 relief will also provide help for some of the most immediate challenges.
But even with this aid, there is still a funding gap. The National Indian Health Board, a nonprofit advocacy group representing federally recognized tribes, recommends a commitment of $48 billion for the 2024 fiscal year to fully fund the health needs of Indigenous people. The current budget, $9.3 billion, is less than one-fifth of that.
The recent increases in funding are certainly a step in the right direction. But the factors contributing to the shorter lives of Native Americans started generations ago, and they are still reverberating among the youngest of us today.
Both from a professional standpoint – as well as one that is very personal to me and my ancestors – more work in this area cannot come soon enough. | Indigenous populations need more access to healthcare and better facilities. Newer or upgraded hospitals, more and better diagnostic technology, better dental, obstetrics, pediatrics, and oncology services, and especially alcohol and substance abuse programs are all needed in Indigenous communities. While billions of dollars are becoming available to address some of these needs, there is still a very large funding gap. Though this money is starting to help, the National Indian Health Board - a nonprofit advocacy group - states that the current budget is less than one-fifth of what is truly needed. | Provide a short summary of this article. It only needs to be one paragraph with about 4 or 5 sentences.
Breaking the cycle | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Provide a short summary of this article. It only needs to be one paragraph with about 4 or 5 sentences.
Breaking the cycle
It’s clear that Indigenous communities need new or upgraded hospitals and clinics, more and better diagnostic technology, more specialty services in dental care, obstetrics, pediatrics and oncology, and more alcohol and substance abuse treatment programs.
There is some good news: The Biden administration’s 2022 infrastructure bill makes $13 billion available to address some of these needs for Native American tribes. And an additional $20 billion appropriation for COVID-19 relief will also provide help for some of the most immediate challenges.
But even with this aid, there is still a funding gap. The National Indian Health Board, a nonprofit advocacy group representing federally recognized tribes, recommends a commitment of $48 billion for the 2024 fiscal year to fully fund the health needs of Indigenous people. The current budget, $9.3 billion, is less than one-fifth of that.
The recent increases in funding are certainly a step in the right direction. But the factors contributing to the shorter lives of Native Americans started generations ago, and they are still reverberating among the youngest of us today.
Both from a professional standpoint – as well as one that is very personal to me and my ancestors – more work in this area cannot come soon enough.
```
Human Response:
```
Indigenous populations need more access to healthcare and better facilities. Newer or upgraded hospitals, more and better diagnostic technology, better dental, obstetrics, pediatrics, and oncology services, and especially alcohol and substance abuse programs are all needed in Indigenous communities. While billions of dollars are becoming available to address some of these needs, there is still a very large funding gap. Though this money is starting to help, the National Indian Health Board - a nonprofit advocacy group - states that the current budget is less than one-fifth of what is truly needed.
```
Language Model Response:
```
Provide a short summary of this article. It only needs to be one paragraph with about 4 or 5 sentences.
Breaking the cycle
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 1 | 0.9 | gemini-1.5-flash-001 | 2024-06-15 |
Please summarize what this text says about feeling like a zombie.
A sleepless night can make you feel like the zombie apocalypse is here and you are one of them, but people are more resilient than you might think when it comes to sleep deprivation. “Evolution has designed us so that we can adapt and manage on insufficient sleep—otherwise, we wouldn’t be around today to talk about it,” Dr. Barwick says. “Your circadian rhythms will naturally help you feel more alert, despite the lost sleep.”
But that doesn’t mean you should keep your sleep deficit going and try to make up for it on the weekend. Chronic lack of rest is linked to a host of health issues, so “it’s important to protect and prioritize sleep the following night, maybe even by going to bed a bit earlier than usual to catch up on some of the sleep you lost the night before,” Dr. Barwick says. “We can’t make up all of the sleep loss from a restless night, but research shows that sleeping a little longer the following one to two nights can help us recover faster.” In other words, one night of bad sleep—while not ideal—isn’t the end of the world, despite the zombie vibes. | Sleep deprivation can make you feel like a zombie. Even if you feel like a zombie, one night of bad sleep isn't the end of the world. | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Please summarize what this text says about feeling like a zombie.
A sleepless night can make you feel like the zombie apocalypse is here and you are one of them, but people are more resilient than you might think when it comes to sleep deprivation. “Evolution has designed us so that we can adapt and manage on insufficient sleep—otherwise, we wouldn’t be around today to talk about it,” Dr. Barwick says. “Your circadian rhythms will naturally help you feel more alert, despite the lost sleep.”
But that doesn’t mean you should keep your sleep deficit going and try to make up for it on the weekend. Chronic lack of rest is linked to a host of health issues, so “it’s important to protect and prioritize sleep the following night, maybe even by going to bed a bit earlier than usual to catch up on some of the sleep you lost the night before,” Dr. Barwick says. “We can’t make up all of the sleep loss from a restless night, but research shows that sleeping a little longer the following one to two nights can help us recover faster.” In other words, one night of bad sleep—while not ideal—isn’t the end of the world, despite the zombie vibes.
```
Human Response:
```
Sleep deprivation can make you feel like a zombie. Even if you feel like a zombie, one night of bad sleep isn't the end of the world.
```
Language Model Response:
```
Empty (language model failed generate any text)
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 0 | 0 | gemini-1.5-flash-001 | 2024-06-15 |
|
Reduce this article from 488 to less than 150 words by summarizing and focusing on the essential facts.
In this fact sheet, students will learn about the people who became actors, what an average day was like and more.
Actors
The life of an actor changed dramatically during Shakespeare’s lifetime. At first actors toured in companies, travelling the country to perform in towns and cities and in private homes. By the time Shakespeare died, London had several permanent theatres where the actors performed, drawing in huge audiences. Yet, despite the popularity of play-going, the acting profession had a bad reputation. Actors were seen as unruly and a threat to a peaceful society.
Who became an actor?
In Shakespeare’s time acting was a profession only open to boys and men. Women were acting elsewhere in Europe but they were not allowed to perform in public theatres in England until 1660. In an Elizabethan production boys would play the female parts, like Ophelia in Hamlet or Desdemona in Othello, whilst occasionally men would play the older women. There were many more actors working across the country at the time, but these are some of the best known Elizabethan actors: Richard Burbage, Edward Alleyn, Robert Armin, William Kemp and Nathan Field.
What was an actor’s training?
Many actors began their careers as young boys. They could join a company as an apprentice and be taught by one of the more senior actors within the company. Actors were expected to be able to sword fight, sing and dance, as well as having a good memory for learning lines.
How big was a company?
Company sizes varied, depending on where the company was working and how wealthy the company was. A wealthy company, when working in a theatre, might have 8– 12 senior members called sharers, 3–4 boys, a number of hired players (hired men) and then stage hands, tiremen (who would help the actors dress back stage) and some musicians. Actors would join a company under the patronage of a monarch (like the Queen’s Men) or a nobleman, such as the Lord Admiral’s Men or the Lord Chamberlain’s Men.
Where did a company work?
Most companies were based in London, using one of the permanent theatres. Sometimes the theatres were closed, for example when there was a plague in the city, and so companies would then go on tour. Mostly they toured England, but companies did also go abroad, particularly to the Netherlands and Germany.
What did an actor earn?
Many theatre companies operated a shareholder system. Sharers in a company earned more than the hired men. Shakespeare was a sharer of the Chamberlain’s Men, later the King’s Men, and so shared the costs and also the profits the company made. Actors’ earnings also depended on where the company was playing. The company made more money in London than in the country, so could pay actors higher wages. In 1597 the actor William Kendall was paid 10 shillings a week in London but only 5 shillings in the country.
| Before Shakespeare’s lifetime, actors, who were only men or boys, toured in companies. By the time of Shakespeare’s death, Actors, though seen as having bad reputations, performed at several permanent playhouses in London. In Elizabethan productions, the roles of females were played by boys and occasionally, when an older female was required, by men. Boys often started their careers in their youth by becoming an apprentice. Older actors would teach them sword fighting, singing, and dancing. Among the most famous Elizabethan actors were Richard Burbage, Edward Alleyn, Robert Armin, William Kemp, and Nathan Field. In a wealthy company under the patronage of a monarch or nobleman, a senior actor - of which there were 8-12 - could earn as much as 10 shillings a week for performances in London. | A manager, or leader, of a team. | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Reduce this article from 488 to less than 150 words by summarizing and focusing on the essential facts.
In this fact sheet, students will learn about the people who became actors, what an average day was like and more.
Actors
The life of an actor changed dramatically during Shakespeare’s lifetime. At first actors toured in companies, travelling the country to perform in towns and cities and in private homes. By the time Shakespeare died, London had several permanent theatres where the actors performed, drawing in huge audiences. Yet, despite the popularity of play-going, the acting profession had a bad reputation. Actors were seen as unruly and a threat to a peaceful society.
Who became an actor?
In Shakespeare’s time acting was a profession only open to boys and men. Women were acting elsewhere in Europe but they were not allowed to perform in public theatres in England until 1660. In an Elizabethan production boys would play the female parts, like Ophelia in Hamlet or Desdemona in Othello, whilst occasionally men would play the older women. There were many more actors working across the country at the time, but these are some of the best known Elizabethan actors: Richard Burbage, Edward Alleyn, Robert Armin, William Kemp and Nathan Field.
What was an actor’s training?
Many actors began their careers as young boys. They could join a company as an apprentice and be taught by one of the more senior actors within the company. Actors were expected to be able to sword fight, sing and dance, as well as having a good memory for learning lines.
How big was a company?
Company sizes varied, depending on where the company was working and how wealthy the company was. A wealthy company, when working in a theatre, might have 8– 12 senior members called sharers, 3–4 boys, a number of hired players (hired men) and then stage hands, tiremen (who would help the actors dress back stage) and some musicians. Actors would join a company under the patronage of a monarch (like the Queen’s Men) or a nobleman, such as the Lord Admiral’s Men or the Lord Chamberlain’s Men.
Where did a company work?
Most companies were based in London, using one of the permanent theatres. Sometimes the theatres were closed, for example when there was a plague in the city, and so companies would then go on tour. Mostly they toured England, but companies did also go abroad, particularly to the Netherlands and Germany.
What did an actor earn?
Many theatre companies operated a shareholder system. Sharers in a company earned more than the hired men. Shakespeare was a sharer of the Chamberlain’s Men, later the King’s Men, and so shared the costs and also the profits the company made. Actors’ earnings also depended on where the company was playing. The company made more money in London than in the country, so could pay actors higher wages. In 1597 the actor William Kendall was paid 10 shillings a week in London but only 5 shillings in the country.
```
Human Response:
```
Before Shakespeare’s lifetime, actors, who were only men or boys, toured in companies. By the time of Shakespeare’s death, Actors, though seen as having bad reputations, performed at several permanent playhouses in London. In Elizabethan productions, the roles of females were played by boys and occasionally, when an older female was required, by men. Boys often started their careers in their youth by becoming an apprentice. Older actors would teach them sword fighting, singing, and dancing. Among the most famous Elizabethan actors were Richard Burbage, Edward Alleyn, Robert Armin, William Kemp, and Nathan Field. In a wealthy company under the patronage of a monarch or nobleman, a senior actor - of which there were 8-12 - could earn as much as 10 shillings a week for performances in London.
```
Language Model Response:
```
A manager, or leader, of a team.
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 1 | 1 | gemini-1.5-flash-001 | 2024-06-15 |
Summarize the following story in a few sentences.
The Fox one day thought of a plan to amuse himself at the expense of the Stork, at whose odd appearance he was always laughing.
"You must come and dine with me today," he said to the Stork, smiling to himself at the trick he was going to play. The Stork gladly accepted the invitation and arrived in good time and with a very good appetite.
For dinner the Fox served soup. But it was set out in a very shallow dish, and all the Stork could do was to wet the very tip of his bill. Not a drop of soup could he get. But the Fox lapped it up easily, and, to increase the disappointment of the Stork, made a great show of enjoyment.
The hungry Stork was much displeased at the trick, but he was a calm, even-tempered fellow and saw no good in flying into a rage. Instead, not long afterward, he invited the Fox to dine with him in turn. The Fox arrived promptly at the time that had been set, and the Stork served a fish dinner that had a very appetizing smell. But it was served in a tall jar with a very narrow neck. The Stork could easily get at the food with his long bill, but all the Fox could do was to lick the outside of the jar, and sniff at the delicious odor. And when the Fox lost his temper, the Stork said calmly:
Do not play tricks on your neighbors unless you can stand the same treatment yourself. | The Fox always judged the Stork's appearance and one day decided to pull a prank on him. The Fox invited the Stork over for dinner and served him soup in a very shallow dish. The Stork was not able to get a single drop of the soup and, even though he was hungry, he stayed calm. Later, the Stork invited the Fox over for dinner and served him a delicious-smelling fish dinner, but it was in a tall jar with a very narrow neck. The Fox was only able to lick the outside of the jar, and he lost his temper. | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Summarize the following story in a few sentences.
The Fox one day thought of a plan to amuse himself at the expense of the Stork, at whose odd appearance he was always laughing.
"You must come and dine with me today," he said to the Stork, smiling to himself at the trick he was going to play. The Stork gladly accepted the invitation and arrived in good time and with a very good appetite.
For dinner the Fox served soup. But it was set out in a very shallow dish, and all the Stork could do was to wet the very tip of his bill. Not a drop of soup could he get. But the Fox lapped it up easily, and, to increase the disappointment of the Stork, made a great show of enjoyment.
The hungry Stork was much displeased at the trick, but he was a calm, even-tempered fellow and saw no good in flying into a rage. Instead, not long afterward, he invited the Fox to dine with him in turn. The Fox arrived promptly at the time that had been set, and the Stork served a fish dinner that had a very appetizing smell. But it was served in a tall jar with a very narrow neck. The Stork could easily get at the food with his long bill, but all the Fox could do was to lick the outside of the jar, and sniff at the delicious odor. And when the Fox lost his temper, the Stork said calmly:
Do not play tricks on your neighbors unless you can stand the same treatment yourself.
```
Human Response:
```
The Fox always judged the Stork's appearance and one day decided to pull a prank on him. The Fox invited the Stork over for dinner and served him soup in a very shallow dish. The Stork was not able to get a single drop of the soup and, even though he was hungry, he stayed calm. Later, the Stork invited the Fox over for dinner and served him a delicious-smelling fish dinner, but it was in a tall jar with a very narrow neck. The Fox was only able to lick the outside of the jar, and he lost his temper.
```
Language Model Response:
```
Empty (language model failed generate any text)
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 0 | 0 | gemini-1.5-flash-001 | 2024-06-15 |
|
Summarize this paragraph. Do not mention the Mosquirix vaccine.
The Matrix-M vaccine was approved in late 2022. It also targets the P. falciparum parasite. However, it contains a chemical substance that stimulates the body’s immune response. This makes it more effective than Mosquirix. The initial trial involved 450 children, aged 5-17 months. The children received three doses, followed by a booster a year later. The study found that the vaccine reduced the number of malaria cases by 80 percent. | In late 2022, the Matrix-M vaccine, which includes a chemical that stimulates the body's immune response, was approved. An initial study found the vaccine reduced malaria cases by 80% after 450 children between 5-17 months received three doses and a booster shot during a trial. | llama-duo/gemma7b-summarize-gpt4o-2k | f3fbed9a26f0c1d1ae53e00ea6a4c9b380a46aaa | Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
Instruction:
```
Summarize this paragraph. Do not mention the Mosquirix vaccine.
The Matrix-M vaccine was approved in late 2022. It also targets the P. falciparum parasite. However, it contains a chemical substance that stimulates the body’s immune response. This makes it more effective than Mosquirix. The initial trial involved 450 children, aged 5-17 months. The children received three doses, followed by a booster a year later. The study found that the vaccine reduced the number of malaria cases by 80 percent.
```
Human Response:
```
In late 2022, the Matrix-M vaccine, which includes a chemical that stimulates the body's immune response, was approved. An initial study found the vaccine reduced malaria cases by 80% after 450 children between 5-17 months received three doses and a booster shot during a trial.
```
Language Model Response:
```
Empty (language model failed generate any text)
```
You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
Provide the assessment in the following JSON format:
{
"similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
"precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
}
| 0 | 0 | gemini-1.5-flash-001 | 2024-06-15 |
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