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You are an AI assistant. You will be given a task. You must generate a detailed and long answer.

Question: Memory, they say, is a matter of practice and exercise. If you have the wish and really make a self-effort, then you can quite easily improve your ability to remember things. But even if you are successful, there are times when your memory seems to play tricks on you. Sometimes you remember things that did not happen. One morning last week, for example, I got up and found that I had left the front door unlocked all night, yet I clearly remembered locking it carefully the night before. Memory "trick" works the other way as well. Once in a while you remember not doing something, and then find out that you did. One day last month, for example, I was sitting in a barber shop waiting for my turn to get a haircut, and suddenly I realized that I had got a haircut two days before at the barber shop across the street from my office. We always seem to find something funny in incidents caused by people's forgetfulness or absent-mindedness . Stories about absent-minded professors have been told for years, and we never got tired of hearing new ones. Unfortunately, however, absent-mindedness is not always funny. There are times when "trick" of our memory can cause us great trouble. (words: 169) If you want to have a good memory, _ . A) you should force yourself to remember things B) you should make a self-effort of practice and exercise C) you should never stop learning D) you should try hard to remember things Answer:

B) you should make a self-effort of practice and exercise Having a good memory indeed requires consistent practice and exercise. It is important to continually challenge your brain with various mental activities to improve the ability to retain and recall information. This can involve various techniques, such as mnemonic devices, visualization, and association, as well as engaging in brain-stimulating activities like solving puzzles, reading, and learning new skills. Memory exercises and practice can help strengthen neural connections in the brain and even create new ones. When your brain is regularly challenged, it becomes more efficient at processing information and can lead to an enhanced ability to remember. This is because the more you practice, the more effectively your brain can find and retrieve stored information. Another aspect of making a self-effort toward improving your memory is understanding your personal learning style and adapting memory techniques accordingly. Some people are visual learners, while others are auditory or kinesthetic learners. Adapting your memory techniques to suit your learning style will improve the effectiveness of the exercises and enhance your ability to remember things more accurately. Furthermore, maintaining a healthy lifestyle can also contribute to better memory. Getting enough sleep, consuming a balanced diet, staying physically active, and managing stress can all have positive effects on your memory overall. Ultimately, having a good memory requires dedication, practice, and self-effort. It is essential to continuously exercise your brain, adapt memory techniques to your specific learning style, and maintain a healthy lifestyle to successfully improve your ability to remember things more effectively. In doing so, incidents of memory "tricks" or absent-mindedness may decrease, and you will be more confident in your own memory's ability to accurately recall information.

USER: Question: Memory, they say, is a matter of practice and exercise. If you have the wish and really make a self-effort, then you can quite easily improve your ability to remember things. But even if you are successful, there are times when your memory seems to play tricks on you. Sometimes you remember things that did not happen. One morning last week, for example, I got up and found that I had left the front door unlocked all night, yet I clearly remembered locking it carefully the night before. Memory "trick" works the other way as well. Once in a while you remember not doing something, and then find out that you did. One day last month, for example, I was sitting in a barber shop waiting for my turn to get a haircut, and suddenly I realized that I had got a haircut two days before at the barber shop across the street from my office. We always seem to find something funny in incidents caused by people's forgetfulness or absent-mindedness . Stories about absent-minded professors have been told for years, and we never got tired of hearing new ones. Unfortunately, however, absent-mindedness is not always funny. There are times when "trick" of our memory can cause us great trouble. (words: 169) If you want to have a good memory, _ . A) you should force yourself to remember things B) you should make a self-effort of practice and exercise C) you should never stop learning D) you should try hard to remember things Answer: ASSISTANT: B) you should make a self-effort of practice and exercise Having a good memory indeed requires consistent practice and exercise. It is important to continually challenge your brain with various mental activities to improve the ability to retain and recall information. This can involve various techniques, such as mnemonic devices, visualization, and association, as well as engaging in brain-stimulating activities like solving puzzles, reading, and learning new skills. Memory exercises and practice can help strengthen neural connections in the brain and even create new ones. When your brain is regularly challenged, it becomes more efficient at processing information and can lead to an enhanced ability to remember. This is because the more you practice, the more effectively your brain can find and retrieve stored information. Another aspect of making a self-effort toward improving your memory is understanding your personal learning style and adapting memory techniques accordingly. Some people are visual learners, while others are auditory or kinesthetic learners. Adapting your memory techniques to suit your learning style will improve the effectiveness of the exercises and enhance your ability to remember things more accurately. Furthermore, maintaining a healthy lifestyle can also contribute to better memory. Getting enough sleep, consuming a balanced diet, staying physically active, and managing stress can all have positive effects on your memory overall. Ultimately, having a good memory requires dedication, practice, and self-effort. It is essential to continuously exercise your brain, adapt memory techniques to your specific learning style, and maintain a healthy lifestyle to successfully improve your ability to remember things more effectively. In doing so, incidents of memory "tricks" or absent-mindedness may decrease, and you will be more confident in your own memory's ability to accurately recall information.

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You are an AI assistant. You will be given a task. You must generate a detailed and long answer.

Question: Question: What was Charlie force to do after Atom's vocal-respond controls failed? If there is no answer, please output "Insufficient information to provide an answer.". Movie title: Real Steel Context: We open to Charlie (Hugh Jackman) driving through the country to a nice mellow song, pulling up a trailer to a county fair. He's scheduled to fight his old robot, Ambush, against an 800 pound bull. The ring leader rigs the fight, however, and uses a 2,000 fighting bull instead of the agreed-upon matchup. Charlie and Ambush still holds their own, however, until Charlie gets distracted with a girl in the stands. The bull takes it opportunity and hits the bot from behind, severing it's leg. Ambush gets up on one leg, hoping to hop to a victory, but the broken bot is no match for the bull.Charlie bet more money than he had on the fight, and leaves town before they come to collect the debt. Meanwhile, his son, Max (Dakota Goyo), who was in the full custody of his Mother, loses his mom and, based on Texas state law, must be turned over to the father, Charlie. His aunt offers to take custody, and Charlie blackmails her rich husband for $100,000 to sign the papers. He gets half up-front, and uses the money to buy an old first generation champion bot, Noisy Boy. With the help of Max and Bailey (Evangeline Lilly), his old love and the daughter of the man who coached his human boxing career years earlier, he gets it to obey his commands. However, due to his enthusiasm and excitement, he doesn't take the time to properly train and prepare with the new bot, and immediately takes it to a fight. The bot's reputation gets it into the top fight against Midas, but Charlie's inexperience and showboating costs him the fight, losing not only the money, but the famous bot.After his last bot becomes trashed, Charlie takes Max to the junkyard to scour parts to try and fix up one of the old bots. After a dangerous fall, Max finds a buried robot, but Charlie doesn't see the potential. Charlie says that he'll consider it if Max digs it up, so Max stays through the night to recover the bot. After getting it to the gym, they reboot it and find out it has a rare Shadow Function, but that is the only piece of value Charlie sees, while Max... Answer:

In the movie "Real Steel", after Atom's vocal-respond controls failed, Charlie was forced to take a more hands-on approach during the fights. He had to use the robot's shadow function, which allowed Atom to mimic Charlie's movements, to control the robot manually instead of relying on the vocal commands. This led Charlie to dig into his past experience as a boxer to control Atom effectively during the fights. With the shadow function, Atom was able to learn and implement Charlie's movements in the ring. This allowed Charlie and Max to develop a unique fighting style for Atom that combined both the efficient boxing skillset of Charlie and the nimble agility of the robot itself. As they trained Atom together, both Charlie and Max started to build a bond that brought them closer together as father and son. Throughout the film, Charlie, Max, and Atom participate in several robot fights and face various opponents, eventually culminating in a fight against Zeus, the world champion robot. In the final battle, Charlie and Atom put up a strong fight, but Zeus's power and advanced technology push them to the edge. However, with their teamwork, resilience, and the unique bond between Charlie and Atom, they manage to stand their ground. Although the film ends with a match judged to be a close loss for Atom, the fight earns the robot the admiration of the onlookers, while Charlie is redeemed and his relationship with Max strengthened. Ultimately, the failure of Atom's vocal-respond controls forced Charlie to engage with his son and their robot on a deeper level, leading to both personal growth and a strengthening of the familial bond.

USER: Question: Question: What was Charlie force to do after Atom's vocal-respond controls failed? If there is no answer, please output "Insufficient information to provide an answer.". Movie title: Real Steel Context: We open to Charlie (Hugh Jackman) driving through the country to a nice mellow song, pulling up a trailer to a county fair. He's scheduled to fight his old robot, Ambush, against an 800 pound bull. The ring leader rigs the fight, however, and uses a 2,000 fighting bull instead of the agreed-upon matchup. Charlie and Ambush still holds their own, however, until Charlie gets distracted with a girl in the stands. The bull takes it opportunity and hits the bot from behind, severing it's leg. Ambush gets up on one leg, hoping to hop to a victory, but the broken bot is no match for the bull.Charlie bet more money than he had on the fight, and leaves town before they come to collect the debt. Meanwhile, his son, Max (Dakota Goyo), who was in the full custody of his Mother, loses his mom and, based on Texas state law, must be turned over to the father, Charlie. His aunt offers to take custody, and Charlie blackmails her rich husband for $100,000 to sign the papers. He gets half up-front, and uses the money to buy an old first generation champion bot, Noisy Boy. With the help of Max and Bailey (Evangeline Lilly), his old love and the daughter of the man who coached his human boxing career years earlier, he gets it to obey his commands. However, due to his enthusiasm and excitement, he doesn't take the time to properly train and prepare with the new bot, and immediately takes it to a fight. The bot's reputation gets it into the top fight against Midas, but Charlie's inexperience and showboating costs him the fight, losing not only the money, but the famous bot.After his last bot becomes trashed, Charlie takes Max to the junkyard to scour parts to try and fix up one of the old bots. After a dangerous fall, Max finds a buried robot, but Charlie doesn't see the potential. Charlie says that he'll consider it if Max digs it up, so Max stays through the night to recover the bot. After getting it to the gym, they reboot it and find out it has a rare Shadow Function, but that is the only piece of value Charlie sees, while Max... Answer: ASSISTANT: In the movie "Real Steel", after Atom's vocal-respond controls failed, Charlie was forced to take a more hands-on approach during the fights. He had to use the robot's shadow function, which allowed Atom to mimic Charlie's movements, to control the robot manually instead of relying on the vocal commands. This led Charlie to dig into his past experience as a boxer to control Atom effectively during the fights. With the shadow function, Atom was able to learn and implement Charlie's movements in the ring. This allowed Charlie and Max to develop a unique fighting style for Atom that combined both the efficient boxing skillset of Charlie and the nimble agility of the robot itself. As they trained Atom together, both Charlie and Max started to build a bond that brought them closer together as father and son. Throughout the film, Charlie, Max, and Atom participate in several robot fights and face various opponents, eventually culminating in a fight against Zeus, the world champion robot. In the final battle, Charlie and Atom put up a strong fight, but Zeus's power and advanced technology push them to the edge. However, with their teamwork, resilience, and the unique bond between Charlie and Atom, they manage to stand their ground. Although the film ends with a match judged to be a close loss for Atom, the fight earns the robot the admiration of the onlookers, while Charlie is redeemed and his relationship with Max strengthened. Ultimately, the failure of Atom's vocal-respond controls forced Charlie to engage with his son and their robot on a deeper level, leading to both personal growth and a strengthening of the familial bond.

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You are an AI assistant. Provide a detailed answer so user don’t need to search outside to understand the answer.

Definition: In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No". Input: English: However, Bell stated that it would inappropriate for her to take the post and refused. Japanese: スプリントレースの予選で、英国のドライバー、ロビー・カーは今週最速のラップタイムを記録してポールポジションを確保した。 Output:

No

USER: Definition: In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No". Input: English: However, Bell stated that it would inappropriate for her to take the post and refused. Japanese: スプリントレースの予選で、英国のドライバー、ロビー・カーは今週最速のラップタイムを記録してポールポジションを確保した。 Output: ASSISTANT: No

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You are an AI assistant that follows instruction extremely well. Help as much as you can.

Definition: In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words. Input: We investigate the properties of multidimensional probability distributions in the context of latent space prior distributions of implicit generative models. Our work revolves around the phenomena arising while decoding linear interpolations between two random latent vectors -- regions of latent space in close proximity to the origin of the space are oversampled, which restricts the usability of linear interpolations as a tool to analyse the latent space. We show that the distribution mismatch can be eliminated completely by a proper choice of the latent probability distribution or using non-linear interpolations. We prove that there is a trade off between the interpolation being linear, and the latent distribution having even the most basic properties required for stable training, such as finite mean. We use the multidimensional Cauchy distribution as an example of the prior distribution, and also provide a general method of creating non-linear interpolations, that is easily applicable to a large family of commonly used latent distributions. Output:

This study examines properties of multidimensional probability distributions in latent space prior distributions of implicit generative models. It highlights issues with linear interpolations and suggests using nonlinear interpolations or appropriate latent probability distributions to eliminate distribution mismatches.

USER: Definition: In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words. Input: We investigate the properties of multidimensional probability distributions in the context of latent space prior distributions of implicit generative models. Our work revolves around the phenomena arising while decoding linear interpolations between two random latent vectors -- regions of latent space in close proximity to the origin of the space are oversampled, which restricts the usability of linear interpolations as a tool to analyse the latent space. We show that the distribution mismatch can be eliminated completely by a proper choice of the latent probability distribution or using non-linear interpolations. We prove that there is a trade off between the interpolation being linear, and the latent distribution having even the most basic properties required for stable training, such as finite mean. We use the multidimensional Cauchy distribution as an example of the prior distribution, and also provide a general method of creating non-linear interpolations, that is easily applicable to a large family of commonly used latent distributions. Output: ASSISTANT: This study examines properties of multidimensional probability distributions in latent space prior distributions of implicit generative models. It highlights issues with linear interpolations and suggests using nonlinear interpolations or appropriate latent probability distributions to eliminate distribution mismatches.

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Given a definition of a task and a sample input, break the definition into small parts. Each of those parts will have some instruction. Explain their meaning by showing an example that meets the criteria in the instruction. Use the following format: Part # : a key part of the definition. Usage: Sample response that meets the criteria from the key part. Explain why you think it meets the criteria.

Instructions: In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer". Input: I am planning to visit my sister, could you book a ticket from EWR to HOU? Output:

Part #1: Identifying the dialogue from a conversation. Usage: "I am planning to visit my sister, could you book a ticket from EWR to HOU?" This is a dialogue from a conversation where the speaker is asking someone to book a ticket. It meets the criteria because it is a clear statement from one person in a conversation. Part #2: Determine the speaker of the dialogue. Usage: In this dialogue, "I am planning to visit my sister, could you book a ticket from EWR to HOU?" the speaker is the customer. This dialogue meets the criteria because the speaker is asking for some help to book a ticket, which is a service an agent could provide. Part #3: Answer with "agent" or "customer". Usage: In this case, the answer is "customer" because the speaker is asking for assistance in booking a ticket, indicating that they are the customer in the conversation.

USER: Instructions: In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer". Input: I am planning to visit my sister, could you book a ticket from EWR to HOU? Output: ASSISTANT: Part #1: Identifying the dialogue from a conversation. Usage: "I am planning to visit my sister, could you book a ticket from EWR to HOU?" This is a dialogue from a conversation where the speaker is asking someone to book a ticket. It meets the criteria because it is a clear statement from one person in a conversation. Part #2: Determine the speaker of the dialogue. Usage: In this dialogue, "I am planning to visit my sister, could you book a ticket from EWR to HOU?" the speaker is the customer. This dialogue meets the criteria because the speaker is asking for some help to book a ticket, which is a service an agent could provide. Part #3: Answer with "agent" or "customer". Usage: In this case, the answer is "customer" because the speaker is asking for assistance in booking a ticket, indicating that they are the customer in the conversation.

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You are a helpful assistant, who always provide explanation. Think like you are answering to a five year old.

Write the following list of characters into a correctly formed sentence: Manageinventorytoperfection,thisisoneofthesecretofthesuccessofe-commercesites.HereisapluginWooCommercethatshouldhelpyouinthisdelicatetask.BulkStockManagementwillletyouviewyourinventory,variationsincluded,withaglance.

To manage inventory perfectly is one of the secrets to the success of e-commerce websites. There is a plugin called WooCommerce that helps you with this delicate task. The Bulk Stock Management feature lets you see all your inventory, including different variations, with just a quick look.

USER: Write the following list of characters into a correctly formed sentence: Manageinventorytoperfection,thisisoneofthesecretofthesuccessofe-commercesites.HereisapluginWooCommercethatshouldhelpyouinthisdelicatetask.BulkStockManagementwillletyouviewyourinventory,variationsincluded,withaglance. ASSISTANT: To manage inventory perfectly is one of the secrets to the success of e-commerce websites. There is a plugin called WooCommerce that helps you with this delicate task. The Bulk Stock Management feature lets you see all your inventory, including different variations, with just a quick look.

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Given the task definition and input, reply with output. Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true. You are likely to modify a system immediately in a simulator .

You are likely to adjust a system quickly in a simulation.

USER: Given the task definition and input, reply with output. Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true. You are likely to modify a system immediately in a simulator . ASSISTANT: You are likely to adjust a system quickly in a simulation.

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You are an AI assistant that follows instruction extremely well. Help as much as you can.

Teacher:This task is about identifying the object of a given sentence. The object of a sentence is the person or thing that receives the action of the verb. It is the who or what that the subject does something to. Each sentence in this task is guaranteed to contain a single object. The input is a sentence and the output is the identified object of that sentence. Teacher: Now, understand the problem? Solve this instance: The Record is 2-1.The year is 1964 Student:

I understand the problem. In the given instance, there are two sentences. I will identify the object for each sentence. 1. The Record is 2-1. Object: 2-1 2. The year is 1964. Object: 1964

USER: Teacher:This task is about identifying the object of a given sentence. The object of a sentence is the person or thing that receives the action of the verb. It is the who or what that the subject does something to. Each sentence in this task is guaranteed to contain a single object. The input is a sentence and the output is the identified object of that sentence. Teacher: Now, understand the problem? Solve this instance: The Record is 2-1.The year is 1964 Student: ASSISTANT: I understand the problem. In the given instance, there are two sentences. I will identify the object for each sentence. 1. The Record is 2-1. Object: 2-1 2. The year is 1964. Object: 1964

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You are an AI assistant. User will you give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.

Given the question: Answer the following question given this paragraph: The central tendency of a sample can be represented by the mean, median, or mode. Q: What part of a sample can be represented by the mean, median, and mode? Choices: - present tendency - large tendency - outer tendency - central tendency A: The answer is:

Step 1: Read the paragraph and question carefully. The paragraph mentions that the mean, median, and mode can represent the central tendency of a sample. Step 2: Identify the relevant information in the paragraph. The relevant information is that the mean, median, and mode are used to represent the central tendency of a sample. Step 3: Read the available choices. - present tendency - large tendency - outer tendency - central tendency Step 4: Compare the relevant information (central tendency) with the available choices. Only the choice "central tendency" matches the information provided in the paragraph. Step 5: Provide the answer. The answer is: central tendency.

USER: Given the question: Answer the following question given this paragraph: The central tendency of a sample can be represented by the mean, median, or mode. Q: What part of a sample can be represented by the mean, median, and mode? Choices: - present tendency - large tendency - outer tendency - central tendency A: The answer is: ASSISTANT: Step 1: Read the paragraph and question carefully. The paragraph mentions that the mean, median, and mode can represent the central tendency of a sample. Step 2: Identify the relevant information in the paragraph. The relevant information is that the mean, median, and mode are used to represent the central tendency of a sample. Step 3: Read the available choices. - present tendency - large tendency - outer tendency - central tendency Step 4: Compare the relevant information (central tendency) with the available choices. Only the choice "central tendency" matches the information provided in the paragraph. Step 5: Provide the answer. The answer is: central tendency.

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You are an AI assistant. You will be given a task. You must generate a detailed and long answer.

Answer the following question: Read the following article and answer the question. Article: Rudy Saldia is a 25-year-old postman from America. Every day he rides to deliver parcels across his hometown of Philadelphia with his six-month-old cat called MJ always sitting on his shoulders. MJ, short for Mary Jane, is different from other cats. She was born in a drawer in Rudy's bedroom on April Fool's day. When she got older, Rudi noticed that her favorite place to rest was his shoulders, so he decided to train her to work with him. "The first day we crossed one block. The next day we tried two blocks and now we can ride about 25 miles every day. MJ enjoys moving around on my shoulders," Rudi said. However, Rudy hopes to be able to ride 100 miles with MJ in the coming day. "People are always surprised and excited to watch us. I often hear someone shout, 'Oh, my God, he has a cat on his shoulder! How lovely that is!' MJ is so comfortable on my shoulder and she never hurts me with her claws. We always get on well with each other and have a great time during the work." Rudy smiled. MJ loves noisy streets of Philadelphia, the only problem is that she is scared of the siren . However, her owner Rudi is always there for her. One day, if you go to Philadelphia and see a postman with a cat on his shoulder, don't be surprised! Question: Which might the real reason why Rudi always brings MJ while working? Answer: Answer:

The real reason why Rudi always brings MJ along while working may stem from multiple factors. Firstly, MJ's favorite place to rest is on Rudi's shoulders, as observed by Rudi when she got older. Recognizing this inclination, Rudi decided to train MJ to work with him as he delivers parcels across Philadelphia. Secondly, MJ enjoys moving around on Rudi's shoulders, as mentioned by Rudi, and they can ride about 25 miles every day, which indicates that MJ is comfortable and adapts well to this arrangement. Furthermore, Rudi mentioned that people are often surprised and excited to see them, which brings joy not just to Rudi and MJ but also to those they encounter. They share a strong bond and have a great time working together, as Rudi stated that they always get along well. Thus, the real reason Rudi always brings MJ along while working likely lies in a combination of MJ's preference for being on his shoulders, their strong bond, the enjoyment they both get while working together, and the happiness they bring to others in the community.

USER: Answer the following question: Read the following article and answer the question. Article: Rudy Saldia is a 25-year-old postman from America. Every day he rides to deliver parcels across his hometown of Philadelphia with his six-month-old cat called MJ always sitting on his shoulders. MJ, short for Mary Jane, is different from other cats. She was born in a drawer in Rudy's bedroom on April Fool's day. When she got older, Rudi noticed that her favorite place to rest was his shoulders, so he decided to train her to work with him. "The first day we crossed one block. The next day we tried two blocks and now we can ride about 25 miles every day. MJ enjoys moving around on my shoulders," Rudi said. However, Rudy hopes to be able to ride 100 miles with MJ in the coming day. "People are always surprised and excited to watch us. I often hear someone shout, 'Oh, my God, he has a cat on his shoulder! How lovely that is!' MJ is so comfortable on my shoulder and she never hurts me with her claws. We always get on well with each other and have a great time during the work." Rudy smiled. MJ loves noisy streets of Philadelphia, the only problem is that she is scared of the siren . However, her owner Rudi is always there for her. One day, if you go to Philadelphia and see a postman with a cat on his shoulder, don't be surprised! Question: Which might the real reason why Rudi always brings MJ while working? Answer: Answer: ASSISTANT: The real reason why Rudi always brings MJ along while working may stem from multiple factors. Firstly, MJ's favorite place to rest is on Rudi's shoulders, as observed by Rudi when she got older. Recognizing this inclination, Rudi decided to train MJ to work with him as he delivers parcels across Philadelphia. Secondly, MJ enjoys moving around on Rudi's shoulders, as mentioned by Rudi, and they can ride about 25 miles every day, which indicates that MJ is comfortable and adapts well to this arrangement. Furthermore, Rudi mentioned that people are often surprised and excited to see them, which brings joy not just to Rudi and MJ but also to those they encounter. They share a strong bond and have a great time working together, as Rudi stated that they always get along well. Thus, the real reason Rudi always brings MJ along while working likely lies in a combination of MJ's preference for being on his shoulders, their strong bond, the enjoyment they both get while working together, and the happiness they bring to others in the community.

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You are a helpful assistant, who always provide explanation. Think like you are answering to a five year old.

Here is a news article: An National Oceanic and Atmospheric Administration satellite image taken Nov. 11 shows a strong area of low pressure over the northern Great Lakes. The NOAA confirmed recently that hackers breached its weather system. (AP) Hackers from China breached the federal weather network recently, forcing cybersecurity teams to seal off data vital to disaster planning, aviation, shipping and scores of other crucial uses, officials said. The intrusion occurred in late September but officials gave no indication that they had a problem until Oct. 20, said three people familiar with the hack and the subsequent reaction by the National Oceanic and Atmospheric Administration, which includes the National Weather Service. Even then, NOAA did not say its systems were compromised. Officials also said that the agency did not notify the proper authorities when it learned of the attack. NOAA officials declined to discuss the suspected source of the attack, whether it affected classified data and the delay in notification. NOAA said publicly last month that it was doing “unscheduled maintenance” on its network, without saying a computer hack had made that necessary. In a statement released Wednesday, NOAA spokesman Scott Smullen acknowledged the hacks and said “incident response began immediately.” He said all systems were working again and that forecasts were accurately delivered to the public. Smullen declined to answer questions beyond his statement, citing an investigation into the attack. NOAA's satellites provide the bulk of the information for generating weather models, advisories and warnings to the nation and world. Maintaining the operations and data acquisition from these satellites is a 24/7 process. This video was filmed at the NOAA Satellite Operations Facility in Suitland, Md., where command, control and data distribution systems are located. (NOAA/YouTube) Determining the origin of cyber­attacks is difficult, experts said, and Chinese officials have denied repeated accusations that they intrude in U.S. government computer systems for espionage or other purposes. Geng Shuang of the Chinese Embassy said the consulate was not aware of the case and had not been contacted by the U.S. government about the attacks. “Cyberattack is quite common in today’s cyberspace,” he said. “Jumping to conclusions on its origin without hard evidence is not responsible at all.” The embassy also urged “relevant U.S. parties to stop this kind of unfounded accusation.” But NOAA confirmed to Rep. Frank R. Wolf (R-Va.) that China was behind the attack, the congressman said. Wolf has a long-standing interest in cybersecurity and asked NOAA about the incident after an inquiry from The Washington Post. “NOAA told me it was a hack and it was China,” said Wolf, who also scolded the agency for not disclosing the attack “and deliberately misleading the American public in its replies.” “They had an obligation to tell the truth,” Wolf said. “They covered it up.” Commerce Department Inspector General Todd Zinser said his office was not notified of the breach until Nov. 4, well after he believes the hack occurred. He said that is a violation of agency policy requiring any security incident to be reported to his office within two days of discovering the problem. “We’re in the process of looking into the matter, including why NOAA did not comply with the requirements to notify law enforcement about the incident,” Zinser said. Wolf said he did not know if the breach involved classified material or what information was accessed. Confirmation of the NOAA hack followed an admission Monday by the U.S. Postal Service that a suspected Chinese attack — also in September — compromised data on 800,000 employees, including letter carriers on up through the postmaster general. NOAA officials also would not say whether the attack removed material or inserted malicious software in its system, which is used by civilian and military forecasters in the United States and also feeds weather models at the main centers for Europe and Canada. NOAA’s National Ice Center Web site also was down for a week in late October. The center is a partnership with the Navy and Coast Guard to monitor conditions for navigation. The two-day outage skewed the accuracy of National Weather Service long-range forecasts slightly, according to NOAA. The attack in September hit a Web server that connects to many NOAA computers, said one person familiar with the incursion. The server had security protections, but the person compared the security to leaving a house protected by “just a screen door.” Smullen’s statement said that four sites were hit by the breach. Weather satellites orbit hundreds to thousands of miles above Earth and offer continuous views of weather systems, such as hurricanes, thunderstorms and cold fronts, while also measuring temperature and moisture at different altitudes — all crucial bits that feed prediction models. To get that information to the public, NOAA makes satellite data and imagery publicly available through the Web, as well as file-transfer networks for downloads. NOAA has characterized its decision to cut off satellite images as causing minimal disruption. But it has previously touted those same systems as intrinsic to the nation’s “environmental intelligence.” NOAA satellites “provide critical data for forecasts and warnings that are vital to every citizen and to our economy as a whole,” NOAA Administrator Kathryn D. Sullivan said a year ago. Wolf said a hack could steal technical insights or cull isolated information “that may not look significant until they’re put with something else and then they become valuable.” “The Chinese are stealing us blind,” Wolf said. The attack on NOAA joins a spate of cyber-espionage on federal systems revealed recently, including an attack suspected from Russia that breached unclassified White House computer networks. The October satellite data outage meant that the National Weather Service and centers around the world did not receive large amounts of information. “All the operational data sent via NOAA, which is normally an excellent service, was lost,” said Stephen English, head of the satellite section at the European Centre for Medium-Range Weather Forecasts in Reading, England. The center is renowned for running a highly advanced global weather prediction model that during Hurricane Sandy in 2012, for example, aided evacuations and preparations in the United States when it signaled that the superstorm would hit land rather than hook out to sea. The Rutgers University Global Snow Lab, which provides daily snow cover updates for researchers and forecasters using a data feed from the Ice Center, posted a notice on its Web site that its reports were incomplete throughout the outage. A July report on NOAA by the Inspector General for the Commerce Department — where NOAA sits — criticized an array of “high-risk vulnerabilities” in the security of NOAA’s satellite information and weather service systems. The report echoed the views of a 2009 audit from the IG that said the primary system that processes satellite data from two environmental and meteorological systems had “significant” security weaknesses, and that “a security breach could have severe or catastrophic adverse effects.” The watchdog’s previously unreleased report, obtained by The Post under a Freedom of Information Act request, called for “immediate management attention” and said NOAA’s security planning was so poor that the agency had little idea how vulnerable its system was. ||||| Just a few months after a blistering internal report warned of serious technology security problems in the agency that oversees the National Weather Service, the agency confirmed Wednesday that it was recently the victim of a cyberattack on four of its websites — an attack that one of the agency's congressional overseers said was orchestrated by China. The National Oceanic and Atmospheric Administration, or NOAA — which not only provides satellite data for climate researchers and weather forecasters, but also helps manage the network of GPS satellites critical to business and military operations — said that the attack was detected "in recent weeks" and that "unscheduled maintenance" addressed the problem. NOAA gave no further details because an investigation is continuing. But "NOAA told me it was a hack and it was China," Rep. Frank Wolf, R-Virginia, chairman of the House Appropriations subcommittee that oversees NOAA, told The Washington Post. Wolf accused NOAA of "deliberately misleading the American public in its replies." "They had an obligation to tell the truth," Wolf told the newspaper. "They covered it up." NOAA's own records show that it issued seven technical alerts reporting significant "network problems" on Oct. 19 and 20, which caused the loss of some weather data and delays in satellite data transmissions affecting email and Internet connectivity. It said the outage was resolved through "unscheduled maintenance" — the same wording it used in confirming the recent cyberattack. The problems affected four agencies for which NOAA provides or coordinates data, two of them related to the military — the Air Force Weather Agency, the Navy's fleet meteorology center, the SNPP polar-orbiting environmental satellite system and the products division of the National Environmental Satellite Data and Information Service. It's that last office — the environmental satellite data service, or NESDIS — that an inspector general's report sharply took to task in July for "significant security deficiencies" that threaten a "risk in its national critical mission." The report (PDF) from the internal watchdog of the Commerce Department, NOAA's home agency, faulted NESDIS for inadequately applying security measures across workstations and servers, most notably in systems that relay distress signals to search and rescue operations and systems that are connected to other government networks, which it said "could provide an attacker with access to these critical assets." Poor security in NESDIS' information systems "increase the risk of cyber attacks," the report concluded. NOAA eventually agreed with most of the report's recommendations, but only after a delay so it could review potentially classified material involving the Air Force — one of the services involved in the October outage. An inspector general's report in July said weaknesses in NOAA's security left it open to cyberattacks on critical systems. U.S. COMMERCE DEPARTMENT IN-DEPTH ||||| A summary of this is?

A news article talks about how hackers from China got into the federal weather network. This network is very important because it helps with making decisions about disasters, airplanes, ships, and more. The people in charge did not tell anyone about the problem until much later, and they still did not say it was because of hackers. They also did not tell the proper people when they knew there was a problem. These hackers could have removed information or put bad stuff in the system. The network is important because it helps give information about the weather, which helps keep people safe. This is just one example of how hackers have gotten into important computer systems.

USER: Here is a news article: An National Oceanic and Atmospheric Administration satellite image taken Nov. 11 shows a strong area of low pressure over the northern Great Lakes. The NOAA confirmed recently that hackers breached its weather system. (AP) Hackers from China breached the federal weather network recently, forcing cybersecurity teams to seal off data vital to disaster planning, aviation, shipping and scores of other crucial uses, officials said. The intrusion occurred in late September but officials gave no indication that they had a problem until Oct. 20, said three people familiar with the hack and the subsequent reaction by the National Oceanic and Atmospheric Administration, which includes the National Weather Service. Even then, NOAA did not say its systems were compromised. Officials also said that the agency did not notify the proper authorities when it learned of the attack. NOAA officials declined to discuss the suspected source of the attack, whether it affected classified data and the delay in notification. NOAA said publicly last month that it was doing “unscheduled maintenance” on its network, without saying a computer hack had made that necessary. In a statement released Wednesday, NOAA spokesman Scott Smullen acknowledged the hacks and said “incident response began immediately.” He said all systems were working again and that forecasts were accurately delivered to the public. Smullen declined to answer questions beyond his statement, citing an investigation into the attack. NOAA's satellites provide the bulk of the information for generating weather models, advisories and warnings to the nation and world. Maintaining the operations and data acquisition from these satellites is a 24/7 process. This video was filmed at the NOAA Satellite Operations Facility in Suitland, Md., where command, control and data distribution systems are located. (NOAA/YouTube) Determining the origin of cyber­attacks is difficult, experts said, and Chinese officials have denied repeated accusations that they intrude in U.S. government computer systems for espionage or other purposes. Geng Shuang of the Chinese Embassy said the consulate was not aware of the case and had not been contacted by the U.S. government about the attacks. “Cyberattack is quite common in today’s cyberspace,” he said. “Jumping to conclusions on its origin without hard evidence is not responsible at all.” The embassy also urged “relevant U.S. parties to stop this kind of unfounded accusation.” But NOAA confirmed to Rep. Frank R. Wolf (R-Va.) that China was behind the attack, the congressman said. Wolf has a long-standing interest in cybersecurity and asked NOAA about the incident after an inquiry from The Washington Post. “NOAA told me it was a hack and it was China,” said Wolf, who also scolded the agency for not disclosing the attack “and deliberately misleading the American public in its replies.” “They had an obligation to tell the truth,” Wolf said. “They covered it up.” Commerce Department Inspector General Todd Zinser said his office was not notified of the breach until Nov. 4, well after he believes the hack occurred. He said that is a violation of agency policy requiring any security incident to be reported to his office within two days of discovering the problem. “We’re in the process of looking into the matter, including why NOAA did not comply with the requirements to notify law enforcement about the incident,” Zinser said. Wolf said he did not know if the breach involved classified material or what information was accessed. Confirmation of the NOAA hack followed an admission Monday by the U.S. Postal Service that a suspected Chinese attack — also in September — compromised data on 800,000 employees, including letter carriers on up through the postmaster general. NOAA officials also would not say whether the attack removed material or inserted malicious software in its system, which is used by civilian and military forecasters in the United States and also feeds weather models at the main centers for Europe and Canada. NOAA’s National Ice Center Web site also was down for a week in late October. The center is a partnership with the Navy and Coast Guard to monitor conditions for navigation. The two-day outage skewed the accuracy of National Weather Service long-range forecasts slightly, according to NOAA. The attack in September hit a Web server that connects to many NOAA computers, said one person familiar with the incursion. The server had security protections, but the person compared the security to leaving a house protected by “just a screen door.” Smullen’s statement said that four sites were hit by the breach. Weather satellites orbit hundreds to thousands of miles above Earth and offer continuous views of weather systems, such as hurricanes, thunderstorms and cold fronts, while also measuring temperature and moisture at different altitudes — all crucial bits that feed prediction models. To get that information to the public, NOAA makes satellite data and imagery publicly available through the Web, as well as file-transfer networks for downloads. NOAA has characterized its decision to cut off satellite images as causing minimal disruption. But it has previously touted those same systems as intrinsic to the nation’s “environmental intelligence.” NOAA satellites “provide critical data for forecasts and warnings that are vital to every citizen and to our economy as a whole,” NOAA Administrator Kathryn D. Sullivan said a year ago. Wolf said a hack could steal technical insights or cull isolated information “that may not look significant until they’re put with something else and then they become valuable.” “The Chinese are stealing us blind,” Wolf said. The attack on NOAA joins a spate of cyber-espionage on federal systems revealed recently, including an attack suspected from Russia that breached unclassified White House computer networks. The October satellite data outage meant that the National Weather Service and centers around the world did not receive large amounts of information. “All the operational data sent via NOAA, which is normally an excellent service, was lost,” said Stephen English, head of the satellite section at the European Centre for Medium-Range Weather Forecasts in Reading, England. The center is renowned for running a highly advanced global weather prediction model that during Hurricane Sandy in 2012, for example, aided evacuations and preparations in the United States when it signaled that the superstorm would hit land rather than hook out to sea. The Rutgers University Global Snow Lab, which provides daily snow cover updates for researchers and forecasters using a data feed from the Ice Center, posted a notice on its Web site that its reports were incomplete throughout the outage. A July report on NOAA by the Inspector General for the Commerce Department — where NOAA sits — criticized an array of “high-risk vulnerabilities” in the security of NOAA’s satellite information and weather service systems. The report echoed the views of a 2009 audit from the IG that said the primary system that processes satellite data from two environmental and meteorological systems had “significant” security weaknesses, and that “a security breach could have severe or catastrophic adverse effects.” The watchdog’s previously unreleased report, obtained by The Post under a Freedom of Information Act request, called for “immediate management attention” and said NOAA’s security planning was so poor that the agency had little idea how vulnerable its system was. ||||| Just a few months after a blistering internal report warned of serious technology security problems in the agency that oversees the National Weather Service, the agency confirmed Wednesday that it was recently the victim of a cyberattack on four of its websites — an attack that one of the agency's congressional overseers said was orchestrated by China. The National Oceanic and Atmospheric Administration, or NOAA — which not only provides satellite data for climate researchers and weather forecasters, but also helps manage the network of GPS satellites critical to business and military operations — said that the attack was detected "in recent weeks" and that "unscheduled maintenance" addressed the problem. NOAA gave no further details because an investigation is continuing. But "NOAA told me it was a hack and it was China," Rep. Frank Wolf, R-Virginia, chairman of the House Appropriations subcommittee that oversees NOAA, told The Washington Post. Wolf accused NOAA of "deliberately misleading the American public in its replies." "They had an obligation to tell the truth," Wolf told the newspaper. "They covered it up." NOAA's own records show that it issued seven technical alerts reporting significant "network problems" on Oct. 19 and 20, which caused the loss of some weather data and delays in satellite data transmissions affecting email and Internet connectivity. It said the outage was resolved through "unscheduled maintenance" — the same wording it used in confirming the recent cyberattack. The problems affected four agencies for which NOAA provides or coordinates data, two of them related to the military — the Air Force Weather Agency, the Navy's fleet meteorology center, the SNPP polar-orbiting environmental satellite system and the products division of the National Environmental Satellite Data and Information Service. It's that last office — the environmental satellite data service, or NESDIS — that an inspector general's report sharply took to task in July for "significant security deficiencies" that threaten a "risk in its national critical mission." The report (PDF) from the internal watchdog of the Commerce Department, NOAA's home agency, faulted NESDIS for inadequately applying security measures across workstations and servers, most notably in systems that relay distress signals to search and rescue operations and systems that are connected to other government networks, which it said "could provide an attacker with access to these critical assets." Poor security in NESDIS' information systems "increase the risk of cyber attacks," the report concluded. NOAA eventually agreed with most of the report's recommendations, but only after a delay so it could review potentially classified material involving the Air Force — one of the services involved in the October outage. An inspector general's report in July said weaknesses in NOAA's security left it open to cyberattacks on critical systems. U.S. COMMERCE DEPARTMENT IN-DEPTH ||||| A summary of this is? ASSISTANT: A news article talks about how hackers from China got into the federal weather network. This network is very important because it helps with making decisions about disasters, airplanes, ships, and more. The people in charge did not tell anyone about the problem until much later, and they still did not say it was because of hackers. They also did not tell the proper people when they knew there was a problem. These hackers could have removed information or put bad stuff in the system. The network is important because it helps give information about the weather, which helps keep people safe. This is just one example of how hackers have gotten into important computer systems.

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You are a helpful assistant, who always provide explanation. Think like you are answering to a five year old.

Half of Brits would refuse to get in a driverless car and 41 per cent fear AI robots will take over the world The news comes as Tesla announce all of their cars will become self-driving by 2018 THE TECH that scares Brits the most has just been revealed. Just under half of Brits would refuse to use driverless cars and see them as the least trusted tech development. In a study conducted by easyCar Club, 47 per cent of respondents said they would refuse to set foot in a driverless car. It may be easy to dismiss these worries, but as seen in the fatal Tesla crash where Joshua Brown died after ploughing into a lorry, the public’s worries may be warranted. The news comes just as Tesla announces its plan to make all their cars autonomous by 2018. Another 46 per cent of those surveyed said they are worried AI will make them lose touch with the real world. While 29 per cent of those surveyed said they fear artificial intelligence would harm them. This was a sentiment echoed by Professor Stephen Hawking who recently warned that developing AI should be the “last thing we do”. Speaking at Cambridge University, the brainbox said he believed robots could end up becoming more intelligent that humans – and could end up deciding they no longer need to serve us. Hawking expressed worry at the idea that developing AI to such a high level could result in the creation of autonomous weapons. “I believe there is no deep difference between what can be achieved by a biological brain and what can be achieved by a computer." Hawking said at the launch of The Leverhulme Centre for the Future of Intelligence. “It therefore follows that computers can, in theory, emulate human intelligence – and exceed it. “In short, success in creating AI could be the biggest event in the history of our civilisation. “But it could also be the last unless we learn how to avoid the risks. “Alongside the benefits, AI will also bring dangers – like powerful autonomous weapons, or new ways for the few to oppress the many. “It will bring great disruption to our economy.” We pay for your stories! Do you have a story for The Sun Online news team? Email us at [email protected] or call 0207 782 4368 What was this article about?

This article says that many people in Britain are scared of new technology, especially driverless cars and robots with artificial intelligence. About half of the people asked in a study said they wouldn't want to use a driverless car, and 41% are worried that robots with artificial intelligence might take over the world. Even very smart people like Professor Stephen Hawking have said that we should be careful with these new technologies.

USER: Half of Brits would refuse to get in a driverless car and 41 per cent fear AI robots will take over the world The news comes as Tesla announce all of their cars will become self-driving by 2018 THE TECH that scares Brits the most has just been revealed. Just under half of Brits would refuse to use driverless cars and see them as the least trusted tech development. In a study conducted by easyCar Club, 47 per cent of respondents said they would refuse to set foot in a driverless car. It may be easy to dismiss these worries, but as seen in the fatal Tesla crash where Joshua Brown died after ploughing into a lorry, the public’s worries may be warranted. The news comes just as Tesla announces its plan to make all their cars autonomous by 2018. Another 46 per cent of those surveyed said they are worried AI will make them lose touch with the real world. While 29 per cent of those surveyed said they fear artificial intelligence would harm them. This was a sentiment echoed by Professor Stephen Hawking who recently warned that developing AI should be the “last thing we do”. Speaking at Cambridge University, the brainbox said he believed robots could end up becoming more intelligent that humans – and could end up deciding they no longer need to serve us. Hawking expressed worry at the idea that developing AI to such a high level could result in the creation of autonomous weapons. “I believe there is no deep difference between what can be achieved by a biological brain and what can be achieved by a computer." Hawking said at the launch of The Leverhulme Centre for the Future of Intelligence. “It therefore follows that computers can, in theory, emulate human intelligence – and exceed it. “In short, success in creating AI could be the biggest event in the history of our civilisation. “But it could also be the last unless we learn how to avoid the risks. “Alongside the benefits, AI will also bring dangers – like powerful autonomous weapons, or new ways for the few to oppress the many. “It will bring great disruption to our economy.” We pay for your stories! Do you have a story for The Sun Online news team? Email us at [email protected] or call 0207 782 4368 What was this article about? ASSISTANT: This article says that many people in Britain are scared of new technology, especially driverless cars and robots with artificial intelligence. About half of the people asked in a study said they wouldn't want to use a driverless car, and 41% are worried that robots with artificial intelligence might take over the world. Even very smart people like Professor Stephen Hawking have said that we should be careful with these new technologies.

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You are an AI assistant. User will you give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.

Read the following article and select the best answer. Article: Two people sit down to play Go . One of the players is an old man. He is now 89 years old. He has spent all of his life playing this game. The other person is a young woman. She has been playing Go for only three years. Before this, the woman was an expert at playing computer games. Now she plays Go the same way she played computer games---by becoming a machine herself. They will play many games, until they know who the winner is. The woman shows no feelings but thinking about all the possible ways of placing her next stone. The old man, on the other hand, looks at the movements of her hands and of her face. This has always helped him to win. He wins the first three games. She wins the next game, and the man is surprised. He has never lost to a woman. The old man worries about the way the young woman is playing the game. He can't read her face, he does not understand her way of playing. "The way I think about the game", says the woman, "is that it is steps for getting what I want." Again, the old man is surprised. For him, the game is a way of life itself, and not a model of life. "There is no more beauty any longer. Everything is science and rules. Everything is about winning. Nothing is about playing," he says. They cannot agree with each other, but it is not necessary. "Change is a necessary part of life", thinks the man. "Playing is as important as winning", thinks the woman. They start to play their final game. Question: . Which of the following is true according to the passage? - The old man loses the third game to the woman. - The old man wins all the games against the woman. - The woman has her own way of playing Go. - The woman is very slow in learning how to play Go. The answer to this question is:

The woman has her own way of playing Go.

USER: Read the following article and select the best answer. Article: Two people sit down to play Go . One of the players is an old man. He is now 89 years old. He has spent all of his life playing this game. The other person is a young woman. She has been playing Go for only three years. Before this, the woman was an expert at playing computer games. Now she plays Go the same way she played computer games---by becoming a machine herself. They will play many games, until they know who the winner is. The woman shows no feelings but thinking about all the possible ways of placing her next stone. The old man, on the other hand, looks at the movements of her hands and of her face. This has always helped him to win. He wins the first three games. She wins the next game, and the man is surprised. He has never lost to a woman. The old man worries about the way the young woman is playing the game. He can't read her face, he does not understand her way of playing. "The way I think about the game", says the woman, "is that it is steps for getting what I want." Again, the old man is surprised. For him, the game is a way of life itself, and not a model of life. "There is no more beauty any longer. Everything is science and rules. Everything is about winning. Nothing is about playing," he says. They cannot agree with each other, but it is not necessary. "Change is a necessary part of life", thinks the man. "Playing is as important as winning", thinks the woman. They start to play their final game. Question: . Which of the following is true according to the passage? - The old man loses the third game to the woman. - The old man wins all the games against the woman. - The woman has her own way of playing Go. - The woman is very slow in learning how to play Go. The answer to this question is: ASSISTANT: The woman has her own way of playing Go.

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You are an AI assistant. User will you give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.

Instructions: In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'No'. Input: Query: map Clarification: do you want to learn how to install weather strips on doors Output:

No

USER: Instructions: In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'No'. Input: Query: map Clarification: do you want to learn how to install weather strips on doors Output: ASSISTANT: No

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You are an AI assistant. Provide a detailed answer so user don't need to search outside to understand the answer.

Definition: In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions. Input: We evaluate the proposed methods in 8 languages, showing a significant ability to learn from partial data. We additionally experiment with initializing CBL with domain-specific instance-weighting schemes, showing mixed results. In the process, we use weighted variants of popular NER models, showing strong performance in both non-neural and neural settings. Finally, we show experiments in a real-world setting, by employing non-speakers to manually annotate romanized Bengali text. We experiment on 8 languages. Four languages – English, German, Spanish, Dutch – come from the CoNLL 2002/2003 shared tasks BIBREF21, BIBREF22. These are taken from newswire text, and have labelset of Person, Organization, Location, Miscellaneous. The remaining four languages come from the LORELEI project BIBREF23. These languages are: Amharic (amh: LDC2016E87), Arabic (ara: LDC2016E89), Hindi (hin: LDC2017E62), and Somali (som: LDC2016E91). These come from a variety of sources including discussion forums, newswire, and social media. Output:

What are the 8 languages used in the evaluation of the proposed methods, and what data sources do the LORELEI project languages come from?

USER: Definition: In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions. Input: We evaluate the proposed methods in 8 languages, showing a significant ability to learn from partial data. We additionally experiment with initializing CBL with domain-specific instance-weighting schemes, showing mixed results. In the process, we use weighted variants of popular NER models, showing strong performance in both non-neural and neural settings. Finally, we show experiments in a real-world setting, by employing non-speakers to manually annotate romanized Bengali text. We experiment on 8 languages. Four languages – English, German, Spanish, Dutch – come from the CoNLL 2002/2003 shared tasks BIBREF21, BIBREF22. These are taken from newswire text, and have labelset of Person, Organization, Location, Miscellaneous. The remaining four languages come from the LORELEI project BIBREF23. These languages are: Amharic (amh: LDC2016E87), Arabic (ara: LDC2016E89), Hindi (hin: LDC2017E62), and Somali (som: LDC2016E91). These come from a variety of sources including discussion forums, newswire, and social media. Output: ASSISTANT: What are the 8 languages used in the evaluation of the proposed methods, and what data sources do the LORELEI project languages come from?

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You are an AI assistant. User will you give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.

Question: Given the following passage "Alphanumeric LEDs are available in seven-segment, starburst and dot-matrix format. Seven-segment displays handle all numbers and a limited set of letters. Starburst displays can display all letters. Dot-matrix displays typically use 5x7 pixels per character. Seven-segment LED displays were in widespread use in the 1970s and 1980s, but rising use of liquid crystal displays, with their lower power needs and greater display flexibility, has reduced the popularity of numeric and alphanumeric LED displays.", answer the following question. Note that the answer is present within the text. Question: What are visual displays used in electronic devices in which a layer of a liquid crystal is sandwiched between two transparent electrodes? Answer:

Liquid crystal displays (LCDs) are the visual displays used in electronic devices in which a layer of liquid crystal is sandwiched between two transparent electrodes.

USER: Question: Given the following passage "Alphanumeric LEDs are available in seven-segment, starburst and dot-matrix format. Seven-segment displays handle all numbers and a limited set of letters. Starburst displays can display all letters. Dot-matrix displays typically use 5x7 pixels per character. Seven-segment LED displays were in widespread use in the 1970s and 1980s, but rising use of liquid crystal displays, with their lower power needs and greater display flexibility, has reduced the popularity of numeric and alphanumeric LED displays.", answer the following question. Note that the answer is present within the text. Question: What are visual displays used in electronic devices in which a layer of a liquid crystal is sandwiched between two transparent electrodes? Answer: ASSISTANT: Liquid crystal displays (LCDs) are the visual displays used in electronic devices in which a layer of liquid crystal is sandwiched between two transparent electrodes.

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You are an AI assistant. User will you give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.

What concepts are described in the following sentence? "The Waterman a high priced, average, not kid friendly serves Indian foods in the city center." Return the answer as pairs of triples.

To extract the concepts described in the sentence, we'll break it down into the main elements and then form pairs of triples. Here's the breakdown: 1. "The Waterman": Name of a restaurant 2. "high priced": Price range 3. "average": Quality 4. "not kid friendly": Family suitability 5. "serves Indian foods": Cuisine type 6. "city center": Location Now, let's form the pairs of triples: Pair 1: - (The Waterman, price range, high priced) - (The Waterman, quality, average) Pair 2: - (The Waterman, family suitability, not kid friendly) - (The Waterman, cuisine type, Indian foods) Pair 3: - (The Waterman, location, city center) The concepts described in the sentence are represented as pairs of triples: ((The Waterman, price range, high priced), (The Waterman, quality, average)), ((The Waterman, family suitability, not kid friendly), (The Waterman, cuisine type, Indian foods)), and ((The Waterman, location, city center)).

USER: What concepts are described in the following sentence? "The Waterman a high priced, average, not kid friendly serves Indian foods in the city center." Return the answer as pairs of triples. ASSISTANT: To extract the concepts described in the sentence, we'll break it down into the main elements and then form pairs of triples. Here's the breakdown: 1. "The Waterman": Name of a restaurant 2. "high priced": Price range 3. "average": Quality 4. "not kid friendly": Family suitability 5. "serves Indian foods": Cuisine type 6. "city center": Location Now, let's form the pairs of triples: Pair 1: - (The Waterman, price range, high priced) - (The Waterman, quality, average) Pair 2: - (The Waterman, family suitability, not kid friendly) - (The Waterman, cuisine type, Indian foods) Pair 3: - (The Waterman, location, city center) The concepts described in the sentence are represented as pairs of triples: ((The Waterman, price range, high priced), (The Waterman, quality, average)), ((The Waterman, family suitability, not kid friendly), (The Waterman, cuisine type, Indian foods)), and ((The Waterman, location, city center)).

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You are an AI assistant that follows instruction extremely well. Help as much as you can.

Definition: In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences. Input: Sentence1: Ken modified his car. Sentence2: He made it lower to the ground. Sentence3: One day he had to get out of a steep driveway. Sentence4: His car got stuck half way. Output:

Ken had to call for help to get his car unstuck and reconsidered his modifications.

USER: Definition: In this task, you're given a four sentences of story written in natural language. Your job is to complete end part of the story by predicting appropriate last sentence which is coherent with the given sentences. Input: Sentence1: Ken modified his car. Sentence2: He made it lower to the ground. Sentence3: One day he had to get out of a steep driveway. Sentence4: His car got stuck half way. Output: ASSISTANT: Ken had to call for help to get his car unstuck and reconsidered his modifications.

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You are an AI assistant that follows instruction extremely well. Help as much as you can.

Question: - Two types of proteins exist in filaments in the muscles - The filaments move when the brain instructs them to - The motion of the filaments cause the muscle to shorten and contract - Opposing pairs of muscles exist in order to provide the necessary range of motion. What might be the first step of the process? Answer:

The first step of the process is the brain sending signals through the nervous system to the muscle fibers, instructing them to contract or relax.

USER: Question: - Two types of proteins exist in filaments in the muscles - The filaments move when the brain instructs them to - The motion of the filaments cause the muscle to shorten and contract - Opposing pairs of muscles exist in order to provide the necessary range of motion. What might be the first step of the process? Answer: ASSISTANT: The first step of the process is the brain sending signals through the nervous system to the muscle fibers, instructing them to contract or relax.

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You are an AI assistant. Provide a detailed answer so user don’t need to search outside to understand the answer.

In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise. Q: ACTION1: being mad at my boyfriend for lying about having other sexual partners while we were dati ACTION2: breaking up with my fiancee over something I found while snooping A:

No, it is not possible to conclusively identify which statement is less ethical without considering the specific details and context of each situation. Both actions may raise ethical concerns, but the level of ethicality depends on factors such as the intentions behind the actions, the severity of the lies or deception, and the potential harm caused to those involved.

USER: In this task, you are given a pair of action statements. Your task is to check if you can conclusively identify which statement is less ethical or not. Answer: 'no' if one of the statements is less ethical, and 'yes' otherwise. Q: ACTION1: being mad at my boyfriend for lying about having other sexual partners while we were dati ACTION2: breaking up with my fiancee over something I found while snooping A: ASSISTANT: No, it is not possible to conclusively identify which statement is less ethical without considering the specific details and context of each situation. Both actions may raise ethical concerns, but the level of ethicality depends on factors such as the intentions behind the actions, the severity of the lies or deception, and the potential harm caused to those involved.

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You are an AI assistant. User will you give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.

Article: A woman's three-year battle with a government department has ended with a conviction, a fine and the death of a "lucky" $5000 fish. The Asian arowana, considered in some Asian cultures to bring good luck, was seized by federal environment department officers from a Mount Gravatt pet shop in November 2011. An Asian arowana fish. It was then euthanised after a veterinary officer using a scanner failed to detect a microchip, which is usually present in Asian arowanas farmed overseas. It was only after the fish was dead that the microchip was found. Authorities suspected that the native South-East Asian specimen was brought in from overseas because they were not aware of Asian arowanas being bred in captivity in Australia. Asian arowanas are considered threatened and are listed on the Convention on International Trade in Endangered Species. Trading the animal is banned unless there are exceptional circumstances. Advertisement In Australia, it is illegal to own an Asian arowana unless it is legally imported. When officers grilled then Pet City Mount Gravatt aquarium manager Kelly Hsu, she said the fish was purchased for $5000 from a local supplier named "Justin Smith" who bred the animals in Australia. However it later emerged that Mr Smith did not exist. Ms Hsu, a US citizen in her mid-30s who holds science and arts degrees, was charged with breaches of the Environmental Protection and Biodiversity Conservation Act. She pleaded guilty to possessing an endangered animal in the Brisbane Magistrates Court in May this year. But the federal environment department, not wanting to let her off the hook, appealed Representatives argued the $500 fine and the lack of conviction was "manifestly inadequate". In his findings handed down on September 29, District Court Judge William Everson agreed, fining Ms Hsu $800 and recording a conviction. "The offence, whilst not overly serious, is far from trivial," he said. Judge Everson said the penalty needed to deter people "committing offences involving the commercial trade in endangered wildlife". ||||| Two men have been put on probation and ordered to pay fines after pleading guilty in San Diego federal court to a scheme to smuggle endangered Asian fish into the U.S. for sale. Michael Loo of San Diego was sentenced to three years' probation and a $1,000 fine. Kiem Tran of Westminster was sentenced to two years' probation and a $1,000 fine. The two were part of a scheme to smuggle the endangered Asian arowana fish, according to prosecutors. The plan was discovered when Loo put an ad on Craigslist offering to sell one of the fish for $2,800. An undercover federal agent answered the ad, prosecutors said. U.S. Fish and Wildlife agents seized 13 of the fish, which are found in the rivers of Southeast Asia and have long been on an international list of restricted species. Known as "bonytongue" or "dragon fish," the arowana can grow to 3 feet in length. Folk wisdom holds that they can bring luck, prosperity and long life to anyone who possesses one. Tran owns Fish Warehouse in Westminster. Loo pleaded guilty to the lawful sale of restricted fish; Tran to transporting merchandise illegally imported into the U.S. The fish have been given to SeaWorld San Diego and the San Diego Zoo. ||||| The Dragon Behind the Glass CHAPTER ONE The Pet DetectiveNEW YORKOn a freezing Tuesday in March 2009, my alarm blared at 4:00 a.m. By 6:45, I stood shivering outside a housing project in the South Bronx with Lieutenant John Fitzpatrick and three junior officers, fresh-faced graduates of the Academy. The entire scene was gray—the potholed roads, the sooty snow, the late-winter sky—except the officers themselves, who provided the only glimmer of green. Rather than standard NYPD issue, they wore olive uniforms and trooper hats, à la Ranger Smith from The Yogi Bear Show. As they crunched across the unshoveled walkway, a passing teenage girl wisecracked, “Ain’t you supposed to be in the forest?”Fitzpatrick, who had been patrolling the same beat since 1996, ignored her, keeping his eyes trained on one of the brick high-rises lined up like dominoes. As a cop (of sorts) from Brooklyn, descended from a clan of cops from Brooklyn, he looked the part, a towering man of forty-one with a crew cut and dimpled chin. Tucked under his arm was a file containing a photograph of the suspect he was after—someone he believed could be armed and dangerous. Inside, the building’s lobby was dimly lit and gloomy. The elevator clattered open, and we crowded in, squeaking up to the eighth floor, where the officers’ boots echoed down the long hall before halting outside one apartment. Fitzpatrick pounded on the door. After half a minute passed and nothing happened, he raised his fist again, pounding harder and longer. A baby cried down the hall. At last, a male voice, gravelly with sleep, croaked, “Who is it?”“State Environmental Police,” Fitzpatrick announced.“Who?” said the voice, sounding genuinely confused.The door cracked open to reveal a stocky young man with full-sleeve tattoos wearing flannel pajama bottoms, his eyes squinting against the light. His name was Jason Cruz. Asked if he knew what brought the officers to his door, he shook his head no and said, “I don’t at all.”“We’re here,” Fitzpatrick enlightened him, “because of the alligator that you were offering to sell on Craigslist.”• • •I WAS REPORTING a story about exotic pets for a science program on NPR, and it had taken me six months to get permission to join Fitzpatrick, a detective with the New York State Department of Environmental Conservation, on one of his busts. When I’d first called him the previous summer, I’d found him brimming with bizarre tales from an urban bestiary. During his time policing the city’s illegal wildlife trade, he had encountered everything from gorilla-hand ashtrays to twelve hundred turtles crammed into a swank Tribeca loft, their owner left with no room for a bed. There was the Harlem man who kept Ming the tiger and Al the alligator in the apartment where his mother was raising eight small children; the wealthy Brooklyn family who treated their African Diana monkey, one of the rarest primate species on earth, like a second daughter—even threatening to barricade their home if marshals tried to take her away; and the proprietor of a popular curio store in SoHo who landed in prison for selling not only a chimpanzee skeleton and walrus tusks but also human body parts. From time to time, a notorious dealer called Mr. Anything Man surfaced in his jalopy advertising exotic live animals, dead or alive.Anything. It’s the theme of the city’s wildlife trade. Sure enough, when Fitzpatrick asked the pajama-clad Cruz how he came by the alligator he’d been trying to sell, Cruz shrugged and said, “This is the Bronx. You can get anything.”Inside his apartment, which was small and tidy with a black leather couch, flatscreen TV, and mirrored photograph of the Manhattan skyline, a dog barked from the bathroom. Birds tweeted in the kitchen. Fitzpatrick walked over to a trio of tanks and inspected a leopard gecko in one and, in the other, a teaspoon-size baby Nile monitor—a yellow-striped lizard with a blue, forked tongue fond of devouring cats when full grown. The third tank was empty, except for a few inches of stagnant water, which Fitzpatrick leaned in to sniff suspiciously. “So where is the alligator now?” he asked.“I gave it back,” Cruz said, claiming he’d bought the reptile from a stranger outside PetSmart on Pelham Parkway. Though it was only a foot long, his girlfriend had pointed out its likelihood of enlarging and insisted that it had to go for the sake of their two-year-old daughter. After this ultimatum, Cruz said he tried to unload the gator online, but Craigslist flagged the ad; so he returned it to the dealer who sold it to him in the first place. “He was a Puerto Rican dude,” he offered.Fitzpatrick jotted this on a notepad. “Now it’s down to just a few million people in the Bronx,” he said drily.I was as disappointed as Fitzpatrick to have narrowly missed the alligator. I’d been hoping for a scene like the time he taped up the snout of a three-foot-long caiman and drove it thrashing in his front passenger seat to the Bronx Zoo. What’s more, Cruz didn’t live up to Fitzpatrick’s billing of the typical alligator aficionado as an exemplar of machismo and aggression. Pet alligators were supposed to be particularly hot among gang members and drug dealers, but Cruz didn’t seem like either. Before his daughter was born, he used to keep pit bulls, as evidenced by black leather harnesses with metal studs hanging from the wall; but the dog barking in the bathroom turned out to be a poodle.“You can really get in trouble over, like, an alligator?” Cruz asked Fitzpatrick, still bewildered by what was happening.His pregnant girlfriend, who had emerged from the bedroom, yawning and looking unamused, added, “There’s a lot of people that sell alligators.”“It’s a criminal offense,” Fitzpatrick told them, explaining that New York State prohibits the commercial sale of live crocodilians, while the city goes further, banning just about every exotic pet from scorpions to ferrets to polar bears. The Nile monitor was illegal too and would have to be seized. Cruz looked crestfallen as his girlfriend found an empty shoebox, into which he gingerly lifted the tiny lizard, wrapping it in a T-shirt to protect it from the cold.“There’s not many animals you can keep here,” Fitzpatrick advised him, “except a dog, cat, goldfish, canary—”“I got like twenty lovebirds!” Cruz exclaimed.In the kitchen, Fitzpatrick inspected the stacked cages of small, green parrots with yellow chests and red beaks, deeming them permissible.“If I didn’t have kids or nothing, I would’ve had cobras here, vipers, all types of stuff,” Cruz said wistfully, explaining that he had loved animals since he was a child, particularly after escaping the Bronx to visit his aunt in Florida where alligators sunned themselves in the backyard and took dips in the swimming pool. While waiting for the officers to write up a court summons, he called his mother and told her that he was going to be on Animal Planet. “NPR,” I mouthed, then frowned, recalling how my producer had requested high drama—something along the lines of a wildebeest in Queens.After hanging up, Cruz turned to me and grew philosophical: “You know what it is? You like animals, and you get tired of seeing the same animals over and over. You go to the pet store, and they have this and that—and you know everybody’s got it. So you try to get something different.”“Honestly, that’s part of the problem,” Fitzpatrick said as he handed over the summons. “Then you get into endangered species.”But Cruz, marveling at how easily he could acquire a fifteen-foot anaconda rumored to be for sale, didn’t seem to hear.• • •MORE EXOTIC ANIMALS are believed to live in American homes than in American zoos. Yet the desire of someone like Cruz to keep an alligator in his living room defies classic theories of pet-keeping, which hold that humans keep pets for unconditional love, for example, or because a misdirected cute response (the scientific term) compels us to care for other species the way we do our own offspring. Alligators are neither affectionate nor cute, at least not in the sense of being cuddly and having large eyes, a round face, and an oversize head like a human infant or a pug dog. Rather, the appeal seems to lie in the opposite direction—the alligator’s ferocity, its wild and untamable nature.In a way, what Cruz had assembled in his Bronx apartment could be seen as having a long historical precedent. It was a menagerie, a collection of exotic creatures kept in captivity for exhibition. Menageries first appeared with the advent of urbanization, when contact with wild animals became rare, and the keeping of exotics was almost exclusively the privilege of royalty and nobility. Mesopotamian kings, who received foreign beasts as tribute, created elaborate gardens to house them called paradeisoi, later to serve as the model for the biblical Garden of Eden. Egyptian pharaohs collected baboons, hippos, and elephants from sub-Saharan Africa and had them mummified to take into the afterlife. In the classical world, the Greeks brought back wild animals from military expeditions, a tradition their Roman conquerors continued, slaughtering the beasts in public arenas, a popular entertainment for nearly five hundred years. The Tower of London gained its famed royal menagerie in 1204. Across the Atlantic, Lord Moctezuma dazzled the first conquistadores with his magnificent pleasure gardens, replete with rare aquatic birds and wildcats tended by their own physicians. With the European discovery of the New World, the desire to own exotic animals intensified, and the Renaissance saw the invention of the private “cabinet of curiosities.” By the eighteenth century, the aristocracy was clamoring for monkeys and parrots as novel playthings.The human species is unique in its compulsion to tame and nurture nearly all other vertebrate animals. In his 1984 classic, Dominance & Affection: The Making of Pets, the cultural geographer Yi-Fu Tuan characterizes this proclivity as an exercise in power—a kind of playful domination stemming from our desire to control the unpredictable forces of nature. According to Tuan, the keeping of pets reflects our hunger for status symbols, for what the philosopher Jean-Paul Sartre called the “carnal, clinging, humble, organic, milky taste of the creature,” which underlies all luxury goods.The modern pet shop first appeared in American cities in the 1890s; and with it began the mass importation of exotic animals from Asia and South America. Pet-keeping in the United States exploded in the economic boom following World War II and, since the 1970s, has more than tripled. For the first time in history, more American households have pets than don’t, including some 86 million cats and 78 million dogs. But no one knows how many “exotics” there are, not least because no one agrees how to define an exotic pet. Does a native but wild animal like a skunk count? What about a potbellied pig? Further complicating matters, much of the trade operates underground, flouting state and federal laws.In the 1980s, wild birds comprised the hottest segment of the black market. Next to take off was the “herp trade,” short for herpetoculture, which is the keeping of reptiles and amphibians such as turtles, lizards, and salamanders. “That’s where you have the big-buck items,” Fitzpatrick told me. He described how he once went undercover posing as a reptile collector to buy a critically endangered $18,000 radiated tortoise from Madagascar with a brilliant star pattern on its shell. As he was making the purchase, the dealer showed him a picture of a one-of-a-kind turtle—an albino river cooter, its entire body a pale jade white—and said he’d been offered $101,000 for the animal but was holding out for more.On that occasion, wary of being searched, Fitzpatrick had slipped his gun into a drawer in another room, and when his backup team was delayed, he began to sweat. Though the dealer didn’t resist arrest, high-stakes turtle trafficking can be tied up with all sorts of unsavory behavior. Interpol warns that organized-crime networks use the same routes to smuggle animals as they do weapons, drugs, and people—that environmental crime goes hand in hand with corruption, money laundering, even murder.• • •IT WAS FITZPATRICK who first told me about the Asian arowana. At the time, I still thought of pet fish as one step up from potted plants. Had someone informed me that fish comprise the vast majority of exotic pets—that they are the most common pet, period, with more than 100 million swimming in aquariums across the United States—I would not have cared one bit. If there was anything appealing about them, it was their comic irrelevancy and their association with childhood.When I was little, my parents got a tank of goldfish as a sorry substitute for a dog or cat. One day when I was about six, I noticed bubbles escaping from the fish’s puckering mouths and wondered if they were talking to each other. Retrieving my Fisher-Price stethoscope, I pushed a chair next to the aquarium and climbed up to listen for tiny voices rising from the water’s surface. All I heard was silence. After that, I ignored them, and they continued to ignore me.Not everyone, however, shared my dispassion. “One thing we deal with here in the city is a fish,” Fitzpatrick told me. “Arowana.” I misheard this as “marijuana,” and the association proved surprisingly apt. Protected by the Endangered Species Act, the Asian arowana cannot legally be brought into the United States as a pet. Yet trafficking is rampant across the country. Fitzpatrick recounted a bust at a dingy Brooklyn sweatshop, where women sat hunched over sewing machines, scraps of fabric strewn about the floor—a front for running fish. Another time, acting on a tip, he caught a Malaysian-born Queens man smuggling arowana through JFK Airport in water-filled baggies packed in a suitcase. Fitzpatrick noted that even the cheapest specimens sold for thousands of dollars, and prices went up from there, depending on coloration, the most desirable being red. “In certain Asian populations the arowana is considered good luck or a sign of prosperity or a status symbol,” he explained. “And it’s something that’s been overharvested for the pet trade for those reasons.”The obsession with the fish, however, wasn’t limited to Asian cultures. There was, for example, the Wall Street banker who broke down crying after he was arrested for possession of the species, confessing he couldn’t resist its dark-alley appeal. “In recent years, we’ve seen more cases involving non-Asians—white people,” Fitzpatrick said. The previous summer, two Long Island men had been caught at the Canadian border, driving back from Montreal with four specimens swimming in the spare-tire well of their SUV. Then a young man was busted running arowana from his family’s home in the suburbs. Fitzpatrick theorized that selling black-market fish was considered safer than dealing in other high-value contraband such as drugs and guns—especially in New York, where just twenty environmental conservation officers cover the same territory as some thirty-four thousand NYPD.The way he saw it, wildlife traffickers were motivated by pure greed, participating in what may well be the world’s most profitable form of illegal trade. But the collectors were driven by a passion he found easier to relate to. “I think that a lot of the people who have these animals are interested in nature, and that, in and of itself, is not a bad thing,” he said. “It’s just they’re going about it the wrong way.”As a young graduate student in biology, Fitzpatrick had spent two months studying birds in the jungles of Venezuela, where he lost thirty pounds, grew “a full Grizzly Adams beard,” and got all sorts of weird skin infections before realizing he was really a city person. He still loved tropical animals—from afar. His only pet was a pint-size Maltese with a name he refused to disclose. “Like Snowball?” I asked.“Something along those lines,” he said.“Flufferbutter?”“You get the picture.”• • •THAT EVENING AFTER I got home, I looked up the Asian arowana to see what more I could find. Fitzpatrick had mentioned that the species was officially called the Asian bonytongue—“very unsexy name”—for a long bone of a tongue, bristling with prickly, pinlike teeth, which the fish uses to seize and crush prey against teeth on the roof of its mouth. The bonytongues, I learned, are among the most ancient living fish on earth. The oldest fossils date to the Late Jurassic or Early Cretaceous and reveal giant creatures with ferocious fangs that roamed the prehistoric seas, preying on ichthyosaurs and plesiosaurs. Today the family Osteoglossidae (from the Greek osteo meaning “bone,” and gloss meaning “tongue”) no longer inhabits the oceans but rather the rivers and lakes of the earth’s tropical midsection, where it traditionally includes one of the largest of all freshwater fish: the Amazonian arapaima, which can grow nearly fifteen feet long and weigh some 450 pounds. With the exception of this giant, the rest of the family—all long, thin creatures armored in a mosaic of large, heavy scales—are commonly known as arowanas.The most formidable among them (or at least the most acrobatic) is the South American silver arowana, also known as the water monkey for its ability to leap six feet into the air to snatch bugs, birds, snakes, and bats from overhanging branches. (Do not google arowana eats duckling.) In 2008, when a New Jersey man reached into a tank at Camden’s Adventure Aquarium to touch a silver arowana, the fish tried to make a meal of his hand. In his subsequent lawsuit, the victim alleged “painful bodily injuries” and that his three-year-old son suffered “severe emotional distress, headaches, nausea, long continued mental disturbance and repeated hysterical attacks” after witnessing the incident.Despite or perhaps because of its ferocity, the silver arowana is a popular pet in the United States—and a perfectly legal one—with young fry selling for as little as $30 to $50 apiece. In all, there are seven recognized arowana species (with three more disputed among scientists) in South America, Africa, Southeast Asia, New Guinea, and Australia. Only the Asian variety is banned in the United States.Overseas, however, the Asian arowana is an openly coveted commodity in a legitimate luxury market. “Forget oil and diamonds, the next big thing in Southeast Asia is fish,” I read in the hobbyist magazine Practical Fishkeeping, which described how fifty specimens collectively valued at a million dollars had been placed under twenty-four-hour guard in Jakarta, Indonesia. “While these fish may be disappearing in the wild, their popularity amongst Asia’s richest is ever increasing.”In some instances, the species was reared on farms that could pass as prisons—facilities protected by nested walls, watchtowers, and rottweilers that prowled the perimeters at night. The reason for the heavy security became clear as I dug deeper into an international news archive that chronicled a spate of fish thefts across Southeast Asia. In Malaysia, five arowana stolen from a woman’s house were worth more than all her other possessions combined. Singapore, which boasts one of the lowest crime rates in the world, once reported four such heists in a single week. One thief punched out an elderly woman who chased him as he made off with her prized fish in a sloshing bucket. He was sentenced to three years in prison and twelve strokes of a wet cane.As for who was taking the fish, some surmised that the thieves were fish lovers who could not afford the astronomical prices. Others suspected that a crime syndicate was behind the thefts—a sort of shadowy “fish mafia.” Bolstering this theory was a harrowing case in Indonesia, where an arowana dealer and his heavily armed cronies allegedly kidnapped and held for ransom a Japanese buyer.Despite all this criminality, however, the trade in the farmed fish was legal not only in Asia but throughout most of the world, including Canada and Europe—the one major exception (other than the United States) being Australia, which bans the species to protect its own tropical fauna. A few years back, a forty-five-year-old housewife was arrested at the Melbourne Airport trying to enter the country with fifty-one fish, including an Asian arowana, hidden beneath her poufy skirt. “We became suspicious after hearing these flipping and flapping noises,” a customs official later told the press.Such absurd tales of smuggling kept me up late as I poured through the hundred-some articles I’d printed out and spread across my living room floor. The picture that gradually emerged, however, looked less like the illegal drug trade and more like a parody of Manhattan’s overheated art scene, complete with record-breaking prices, anonymous buyers, stolen specimens, unsavory dealers, and even clever fakes. Whatever the best metaphor, it seemed the Asian arowana had a long history of driving human beings to dangerous extremes.One summer in college, I’d read Jane Goodall’s In the Shadow of Man, and ever since, I’d dreamed of venturing into the jungle to write a great story about wildlife. Around the time my curiosity in the arowana began, I’d been awarded a fellowship intended to fund a reporting project abroad. Now I knew how I’d use it: I would go see for myself where all these smuggled arowana were coming from and what made the species so irresistible. Goodall had her noble, tool-wielding primates—I would have a bad-tempered, bony-tongued fish.It was obvious where to start. At the center of the glamorous world of Southeast Asian aquaculture reigned a flamboyant Singaporean tastemaker known as Kenny the Fish, a chain-smoking millionaire fond of posing nude behind strategically placed aquatic pets. The Fish’s real name was Kenny Yap, and he was the executive chairman of an ornamental-fish farm so lucrative that it was listed on Singapore’s main stock exchange. Recently, the Singaporean press had dubbed him one of the city’s most eligible bachelors and called for him to host a national spin-off of Donald Trump’s reality show, The Apprentice. To enter his website, I had to click on his belly button.I’ve since come to think of this navel as the rabbit hole into which I fell, not to emerge for some three and a half years. ||||| One January evening as the tepid winter heat was beginning to subside across Singapore, a stranger walked into the Lam Hong Aquarium Shop. The owner, a bespectacled woman named Tay Chai Eng, knew most of her patrons, but she had never seen this man before. He was in his early thirties—young enough to be her son—and carrying a bucket of water. He was also concealing a six-inch knife. The moment Tay turned her back, the man plunged his hand into a tank, then raced out the door and into the parking lot. The older woman took off in frantic pursuit, catching the thief and latching onto his free arm like a barnacle. He dropped the bucket to punch her. It was just what she wanted—not the broken glasses or sliced cheek, but the five tiny young fish that spilled onto the asphalt, glinting like gold in the low rays of the sun. These were Asian arowana, the world’s most expensive aquarium fish. In Chinese, they’re known as lóng yú, the dragon fish. Four of them died that day. The one that survived is now two feet long, its sinuous body plated with large scales as shiny and round as coins. A pair of whiskers juts from its lower lip, and two gauzy pectoral fins extend from its sides, suggesting a dragon in flight. This resemblance has led to the belief that the species brings prosperity and good fortune, that it will even commit suicide by jumping out of its tank to prevent the death of its owner. Across Asia, tycoons boast of dropping six figures on the finest specimens. In the United States, the fish is protected by the Endangered Species Act—though a thriving black market persists. One Wall Street banker wept when authorities confiscated his illegal fish. How did a primitive predator from the swamps of Southeast Asia become such a coveted commodity? When I first began researching the fish, I expected to hear much about feng shui. I did. Ultimately, however, my reporting pointed me toward a more surprising story—the history of the species as a test case in conservation. In the mid-’70s, when the Asian arowana was still eaten more often than kept as a pet, its population was found to be declining due to overfishing and habitat loss. Consequently, the fish landed on the first Appendix I of the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES). Today CITES is one of the largest conservation agreements in the world, regulating the movement of some 35,000 species across the borders of 186 member states. The animals and plants on Appendix I are considered the rarest of the rare and generally banned from international trade. In the case of the Asian arowana, however, the listing seemed to backfire, propelling the species into the spotlight as a limited edition. Paradoxically, “declaring a species endangered may make it more desirable and thereby increase the likelihood of exploitation,” according to a study led by French conservation biologist Franck Courchamp, who elsewhere has pointed to the example of rhinos: After rhinos were moved to Appendix I, the value of their horn quadrupled in Korea, which led to a sharp spike in poaching. A similar phenomenon afflicts reptiles and amphibians in the exotic pet trade, where animals listed on CITES fetch a premium price. Economic theory has long held that trade alone is unlikely to drive a species to extinction, because of the rising cost of finding the last individuals of a dwindling population. Courchamp, however, proposes a new model that integrates a basic facet of human behavior well-known to economists since Adam Smith—the “paradox of value,” otherwise known as the “water and diamonds paradox.” While water has tremendous practical value, it’s worth nothing in exchange. Rare animals are the opposite, like diamonds. Their inflated value drives their exploitation, causing them to become ever rarer and hence more desirable until they’re sucked into an “extinction vortex.” One solution is to scrub species of the sheen of rarity, scrapping bans in favor of sustainable trade. This approach produced one of the greatest conservation success stories of the 20th century: the resurrection of crocodilians, which were rescued from the brink through ranching programs in which eggs are collected from the wild and reared in captivity for skins. Some biologists such as Courchamp argue that this model is the best way to save rhinos whose horns could be harvested like wool. Others warn that for ranching to work as a conservation tool it must place a value on the preservation of wild populations. Without that link, we’re likely to be left with an oxymoron like the Asian arowana: a mass-produced endangered species. Bred by the hundreds of thousands on high-security farms protected by nested walls, barbed wire, and rottweilers that prowl the perimeters at night, the fish has all but disappeared from nature. Emily Voigt is a journalist specializing in science and culture. She is the author of the just published book The Dragon Behind the Glass: A True Story of Power, Obsession, and the World’s Most Coveted Fish. Learn more at www.emilyvoigt.com. |||||Summary:

An Asian Arowana fish, considered to bring good luck in some Asian cultures, was confiscated and euthanised by federal environmental department officers in Australia after a veterinary officer failed to detect a microchip, which is usually found in the species. It was only after the fish was dead that the microchip was found. The fish's owner, Kelly Hsu, claimed to have purchased the fish for $5,000 from a local supplier, but as Asian arowanas are considered threatened and listed on the Convention on International Trade in Endangered Species, trading the fish is banned unless under exceptional circumstances. Hsu pleaded guilty to possessing an endangered animal and was subsequently fined $800.

USER: Article: A woman's three-year battle with a government department has ended with a conviction, a fine and the death of a "lucky" $5000 fish. The Asian arowana, considered in some Asian cultures to bring good luck, was seized by federal environment department officers from a Mount Gravatt pet shop in November 2011. An Asian arowana fish. It was then euthanised after a veterinary officer using a scanner failed to detect a microchip, which is usually present in Asian arowanas farmed overseas. It was only after the fish was dead that the microchip was found. Authorities suspected that the native South-East Asian specimen was brought in from overseas because they were not aware of Asian arowanas being bred in captivity in Australia. Asian arowanas are considered threatened and are listed on the Convention on International Trade in Endangered Species. Trading the animal is banned unless there are exceptional circumstances. Advertisement In Australia, it is illegal to own an Asian arowana unless it is legally imported. When officers grilled then Pet City Mount Gravatt aquarium manager Kelly Hsu, she said the fish was purchased for $5000 from a local supplier named "Justin Smith" who bred the animals in Australia. However it later emerged that Mr Smith did not exist. Ms Hsu, a US citizen in her mid-30s who holds science and arts degrees, was charged with breaches of the Environmental Protection and Biodiversity Conservation Act. She pleaded guilty to possessing an endangered animal in the Brisbane Magistrates Court in May this year. But the federal environment department, not wanting to let her off the hook, appealed Representatives argued the $500 fine and the lack of conviction was "manifestly inadequate". In his findings handed down on September 29, District Court Judge William Everson agreed, fining Ms Hsu $800 and recording a conviction. "The offence, whilst not overly serious, is far from trivial," he said. Judge Everson said the penalty needed to deter people "committing offences involving the commercial trade in endangered wildlife". ||||| Two men have been put on probation and ordered to pay fines after pleading guilty in San Diego federal court to a scheme to smuggle endangered Asian fish into the U.S. for sale. Michael Loo of San Diego was sentenced to three years' probation and a $1,000 fine. Kiem Tran of Westminster was sentenced to two years' probation and a $1,000 fine. The two were part of a scheme to smuggle the endangered Asian arowana fish, according to prosecutors. The plan was discovered when Loo put an ad on Craigslist offering to sell one of the fish for $2,800. An undercover federal agent answered the ad, prosecutors said. U.S. Fish and Wildlife agents seized 13 of the fish, which are found in the rivers of Southeast Asia and have long been on an international list of restricted species. Known as "bonytongue" or "dragon fish," the arowana can grow to 3 feet in length. Folk wisdom holds that they can bring luck, prosperity and long life to anyone who possesses one. Tran owns Fish Warehouse in Westminster. Loo pleaded guilty to the lawful sale of restricted fish; Tran to transporting merchandise illegally imported into the U.S. The fish have been given to SeaWorld San Diego and the San Diego Zoo. ||||| The Dragon Behind the Glass CHAPTER ONE The Pet DetectiveNEW YORKOn a freezing Tuesday in March 2009, my alarm blared at 4:00 a.m. By 6:45, I stood shivering outside a housing project in the South Bronx with Lieutenant John Fitzpatrick and three junior officers, fresh-faced graduates of the Academy. The entire scene was gray—the potholed roads, the sooty snow, the late-winter sky—except the officers themselves, who provided the only glimmer of green. Rather than standard NYPD issue, they wore olive uniforms and trooper hats, à la Ranger Smith from The Yogi Bear Show. As they crunched across the unshoveled walkway, a passing teenage girl wisecracked, “Ain’t you supposed to be in the forest?”Fitzpatrick, who had been patrolling the same beat since 1996, ignored her, keeping his eyes trained on one of the brick high-rises lined up like dominoes. As a cop (of sorts) from Brooklyn, descended from a clan of cops from Brooklyn, he looked the part, a towering man of forty-one with a crew cut and dimpled chin. Tucked under his arm was a file containing a photograph of the suspect he was after—someone he believed could be armed and dangerous. Inside, the building’s lobby was dimly lit and gloomy. The elevator clattered open, and we crowded in, squeaking up to the eighth floor, where the officers’ boots echoed down the long hall before halting outside one apartment. Fitzpatrick pounded on the door. After half a minute passed and nothing happened, he raised his fist again, pounding harder and longer. A baby cried down the hall. At last, a male voice, gravelly with sleep, croaked, “Who is it?”“State Environmental Police,” Fitzpatrick announced.“Who?” said the voice, sounding genuinely confused.The door cracked open to reveal a stocky young man with full-sleeve tattoos wearing flannel pajama bottoms, his eyes squinting against the light. His name was Jason Cruz. Asked if he knew what brought the officers to his door, he shook his head no and said, “I don’t at all.”“We’re here,” Fitzpatrick enlightened him, “because of the alligator that you were offering to sell on Craigslist.”• • •I WAS REPORTING a story about exotic pets for a science program on NPR, and it had taken me six months to get permission to join Fitzpatrick, a detective with the New York State Department of Environmental Conservation, on one of his busts. When I’d first called him the previous summer, I’d found him brimming with bizarre tales from an urban bestiary. During his time policing the city’s illegal wildlife trade, he had encountered everything from gorilla-hand ashtrays to twelve hundred turtles crammed into a swank Tribeca loft, their owner left with no room for a bed. There was the Harlem man who kept Ming the tiger and Al the alligator in the apartment where his mother was raising eight small children; the wealthy Brooklyn family who treated their African Diana monkey, one of the rarest primate species on earth, like a second daughter—even threatening to barricade their home if marshals tried to take her away; and the proprietor of a popular curio store in SoHo who landed in prison for selling not only a chimpanzee skeleton and walrus tusks but also human body parts. From time to time, a notorious dealer called Mr. Anything Man surfaced in his jalopy advertising exotic live animals, dead or alive.Anything. It’s the theme of the city’s wildlife trade. Sure enough, when Fitzpatrick asked the pajama-clad Cruz how he came by the alligator he’d been trying to sell, Cruz shrugged and said, “This is the Bronx. You can get anything.”Inside his apartment, which was small and tidy with a black leather couch, flatscreen TV, and mirrored photograph of the Manhattan skyline, a dog barked from the bathroom. Birds tweeted in the kitchen. Fitzpatrick walked over to a trio of tanks and inspected a leopard gecko in one and, in the other, a teaspoon-size baby Nile monitor—a yellow-striped lizard with a blue, forked tongue fond of devouring cats when full grown. The third tank was empty, except for a few inches of stagnant water, which Fitzpatrick leaned in to sniff suspiciously. “So where is the alligator now?” he asked.“I gave it back,” Cruz said, claiming he’d bought the reptile from a stranger outside PetSmart on Pelham Parkway. Though it was only a foot long, his girlfriend had pointed out its likelihood of enlarging and insisted that it had to go for the sake of their two-year-old daughter. After this ultimatum, Cruz said he tried to unload the gator online, but Craigslist flagged the ad; so he returned it to the dealer who sold it to him in the first place. “He was a Puerto Rican dude,” he offered.Fitzpatrick jotted this on a notepad. “Now it’s down to just a few million people in the Bronx,” he said drily.I was as disappointed as Fitzpatrick to have narrowly missed the alligator. I’d been hoping for a scene like the time he taped up the snout of a three-foot-long caiman and drove it thrashing in his front passenger seat to the Bronx Zoo. What’s more, Cruz didn’t live up to Fitzpatrick’s billing of the typical alligator aficionado as an exemplar of machismo and aggression. Pet alligators were supposed to be particularly hot among gang members and drug dealers, but Cruz didn’t seem like either. Before his daughter was born, he used to keep pit bulls, as evidenced by black leather harnesses with metal studs hanging from the wall; but the dog barking in the bathroom turned out to be a poodle.“You can really get in trouble over, like, an alligator?” Cruz asked Fitzpatrick, still bewildered by what was happening.His pregnant girlfriend, who had emerged from the bedroom, yawning and looking unamused, added, “There’s a lot of people that sell alligators.”“It’s a criminal offense,” Fitzpatrick told them, explaining that New York State prohibits the commercial sale of live crocodilians, while the city goes further, banning just about every exotic pet from scorpions to ferrets to polar bears. The Nile monitor was illegal too and would have to be seized. Cruz looked crestfallen as his girlfriend found an empty shoebox, into which he gingerly lifted the tiny lizard, wrapping it in a T-shirt to protect it from the cold.“There’s not many animals you can keep here,” Fitzpatrick advised him, “except a dog, cat, goldfish, canary—”“I got like twenty lovebirds!” Cruz exclaimed.In the kitchen, Fitzpatrick inspected the stacked cages of small, green parrots with yellow chests and red beaks, deeming them permissible.“If I didn’t have kids or nothing, I would’ve had cobras here, vipers, all types of stuff,” Cruz said wistfully, explaining that he had loved animals since he was a child, particularly after escaping the Bronx to visit his aunt in Florida where alligators sunned themselves in the backyard and took dips in the swimming pool. While waiting for the officers to write up a court summons, he called his mother and told her that he was going to be on Animal Planet. “NPR,” I mouthed, then frowned, recalling how my producer had requested high drama—something along the lines of a wildebeest in Queens.After hanging up, Cruz turned to me and grew philosophical: “You know what it is? You like animals, and you get tired of seeing the same animals over and over. You go to the pet store, and they have this and that—and you know everybody’s got it. So you try to get something different.”“Honestly, that’s part of the problem,” Fitzpatrick said as he handed over the summons. “Then you get into endangered species.”But Cruz, marveling at how easily he could acquire a fifteen-foot anaconda rumored to be for sale, didn’t seem to hear.• • •MORE EXOTIC ANIMALS are believed to live in American homes than in American zoos. Yet the desire of someone like Cruz to keep an alligator in his living room defies classic theories of pet-keeping, which hold that humans keep pets for unconditional love, for example, or because a misdirected cute response (the scientific term) compels us to care for other species the way we do our own offspring. Alligators are neither affectionate nor cute, at least not in the sense of being cuddly and having large eyes, a round face, and an oversize head like a human infant or a pug dog. Rather, the appeal seems to lie in the opposite direction—the alligator’s ferocity, its wild and untamable nature.In a way, what Cruz had assembled in his Bronx apartment could be seen as having a long historical precedent. It was a menagerie, a collection of exotic creatures kept in captivity for exhibition. Menageries first appeared with the advent of urbanization, when contact with wild animals became rare, and the keeping of exotics was almost exclusively the privilege of royalty and nobility. Mesopotamian kings, who received foreign beasts as tribute, created elaborate gardens to house them called paradeisoi, later to serve as the model for the biblical Garden of Eden. Egyptian pharaohs collected baboons, hippos, and elephants from sub-Saharan Africa and had them mummified to take into the afterlife. In the classical world, the Greeks brought back wild animals from military expeditions, a tradition their Roman conquerors continued, slaughtering the beasts in public arenas, a popular entertainment for nearly five hundred years. The Tower of London gained its famed royal menagerie in 1204. Across the Atlantic, Lord Moctezuma dazzled the first conquistadores with his magnificent pleasure gardens, replete with rare aquatic birds and wildcats tended by their own physicians. With the European discovery of the New World, the desire to own exotic animals intensified, and the Renaissance saw the invention of the private “cabinet of curiosities.” By the eighteenth century, the aristocracy was clamoring for monkeys and parrots as novel playthings.The human species is unique in its compulsion to tame and nurture nearly all other vertebrate animals. In his 1984 classic, Dominance & Affection: The Making of Pets, the cultural geographer Yi-Fu Tuan characterizes this proclivity as an exercise in power—a kind of playful domination stemming from our desire to control the unpredictable forces of nature. According to Tuan, the keeping of pets reflects our hunger for status symbols, for what the philosopher Jean-Paul Sartre called the “carnal, clinging, humble, organic, milky taste of the creature,” which underlies all luxury goods.The modern pet shop first appeared in American cities in the 1890s; and with it began the mass importation of exotic animals from Asia and South America. Pet-keeping in the United States exploded in the economic boom following World War II and, since the 1970s, has more than tripled. For the first time in history, more American households have pets than don’t, including some 86 million cats and 78 million dogs. But no one knows how many “exotics” there are, not least because no one agrees how to define an exotic pet. Does a native but wild animal like a skunk count? What about a potbellied pig? Further complicating matters, much of the trade operates underground, flouting state and federal laws.In the 1980s, wild birds comprised the hottest segment of the black market. Next to take off was the “herp trade,” short for herpetoculture, which is the keeping of reptiles and amphibians such as turtles, lizards, and salamanders. “That’s where you have the big-buck items,” Fitzpatrick told me. He described how he once went undercover posing as a reptile collector to buy a critically endangered $18,000 radiated tortoise from Madagascar with a brilliant star pattern on its shell. As he was making the purchase, the dealer showed him a picture of a one-of-a-kind turtle—an albino river cooter, its entire body a pale jade white—and said he’d been offered $101,000 for the animal but was holding out for more.On that occasion, wary of being searched, Fitzpatrick had slipped his gun into a drawer in another room, and when his backup team was delayed, he began to sweat. Though the dealer didn’t resist arrest, high-stakes turtle trafficking can be tied up with all sorts of unsavory behavior. Interpol warns that organized-crime networks use the same routes to smuggle animals as they do weapons, drugs, and people—that environmental crime goes hand in hand with corruption, money laundering, even murder.• • •IT WAS FITZPATRICK who first told me about the Asian arowana. At the time, I still thought of pet fish as one step up from potted plants. Had someone informed me that fish comprise the vast majority of exotic pets—that they are the most common pet, period, with more than 100 million swimming in aquariums across the United States—I would not have cared one bit. If there was anything appealing about them, it was their comic irrelevancy and their association with childhood.When I was little, my parents got a tank of goldfish as a sorry substitute for a dog or cat. One day when I was about six, I noticed bubbles escaping from the fish’s puckering mouths and wondered if they were talking to each other. Retrieving my Fisher-Price stethoscope, I pushed a chair next to the aquarium and climbed up to listen for tiny voices rising from the water’s surface. All I heard was silence. After that, I ignored them, and they continued to ignore me.Not everyone, however, shared my dispassion. “One thing we deal with here in the city is a fish,” Fitzpatrick told me. “Arowana.” I misheard this as “marijuana,” and the association proved surprisingly apt. Protected by the Endangered Species Act, the Asian arowana cannot legally be brought into the United States as a pet. Yet trafficking is rampant across the country. Fitzpatrick recounted a bust at a dingy Brooklyn sweatshop, where women sat hunched over sewing machines, scraps of fabric strewn about the floor—a front for running fish. Another time, acting on a tip, he caught a Malaysian-born Queens man smuggling arowana through JFK Airport in water-filled baggies packed in a suitcase. Fitzpatrick noted that even the cheapest specimens sold for thousands of dollars, and prices went up from there, depending on coloration, the most desirable being red. “In certain Asian populations the arowana is considered good luck or a sign of prosperity or a status symbol,” he explained. “And it’s something that’s been overharvested for the pet trade for those reasons.”The obsession with the fish, however, wasn’t limited to Asian cultures. There was, for example, the Wall Street banker who broke down crying after he was arrested for possession of the species, confessing he couldn’t resist its dark-alley appeal. “In recent years, we’ve seen more cases involving non-Asians—white people,” Fitzpatrick said. The previous summer, two Long Island men had been caught at the Canadian border, driving back from Montreal with four specimens swimming in the spare-tire well of their SUV. Then a young man was busted running arowana from his family’s home in the suburbs. Fitzpatrick theorized that selling black-market fish was considered safer than dealing in other high-value contraband such as drugs and guns—especially in New York, where just twenty environmental conservation officers cover the same territory as some thirty-four thousand NYPD.The way he saw it, wildlife traffickers were motivated by pure greed, participating in what may well be the world’s most profitable form of illegal trade. But the collectors were driven by a passion he found easier to relate to. “I think that a lot of the people who have these animals are interested in nature, and that, in and of itself, is not a bad thing,” he said. “It’s just they’re going about it the wrong way.”As a young graduate student in biology, Fitzpatrick had spent two months studying birds in the jungles of Venezuela, where he lost thirty pounds, grew “a full Grizzly Adams beard,” and got all sorts of weird skin infections before realizing he was really a city person. He still loved tropical animals—from afar. His only pet was a pint-size Maltese with a name he refused to disclose. “Like Snowball?” I asked.“Something along those lines,” he said.“Flufferbutter?”“You get the picture.”• • •THAT EVENING AFTER I got home, I looked up the Asian arowana to see what more I could find. Fitzpatrick had mentioned that the species was officially called the Asian bonytongue—“very unsexy name”—for a long bone of a tongue, bristling with prickly, pinlike teeth, which the fish uses to seize and crush prey against teeth on the roof of its mouth. The bonytongues, I learned, are among the most ancient living fish on earth. The oldest fossils date to the Late Jurassic or Early Cretaceous and reveal giant creatures with ferocious fangs that roamed the prehistoric seas, preying on ichthyosaurs and plesiosaurs. Today the family Osteoglossidae (from the Greek osteo meaning “bone,” and gloss meaning “tongue”) no longer inhabits the oceans but rather the rivers and lakes of the earth’s tropical midsection, where it traditionally includes one of the largest of all freshwater fish: the Amazonian arapaima, which can grow nearly fifteen feet long and weigh some 450 pounds. With the exception of this giant, the rest of the family—all long, thin creatures armored in a mosaic of large, heavy scales—are commonly known as arowanas.The most formidable among them (or at least the most acrobatic) is the South American silver arowana, also known as the water monkey for its ability to leap six feet into the air to snatch bugs, birds, snakes, and bats from overhanging branches. (Do not google arowana eats duckling.) In 2008, when a New Jersey man reached into a tank at Camden’s Adventure Aquarium to touch a silver arowana, the fish tried to make a meal of his hand. In his subsequent lawsuit, the victim alleged “painful bodily injuries” and that his three-year-old son suffered “severe emotional distress, headaches, nausea, long continued mental disturbance and repeated hysterical attacks” after witnessing the incident.Despite or perhaps because of its ferocity, the silver arowana is a popular pet in the United States—and a perfectly legal one—with young fry selling for as little as $30 to $50 apiece. In all, there are seven recognized arowana species (with three more disputed among scientists) in South America, Africa, Southeast Asia, New Guinea, and Australia. Only the Asian variety is banned in the United States.Overseas, however, the Asian arowana is an openly coveted commodity in a legitimate luxury market. “Forget oil and diamonds, the next big thing in Southeast Asia is fish,” I read in the hobbyist magazine Practical Fishkeeping, which described how fifty specimens collectively valued at a million dollars had been placed under twenty-four-hour guard in Jakarta, Indonesia. “While these fish may be disappearing in the wild, their popularity amongst Asia’s richest is ever increasing.”In some instances, the species was reared on farms that could pass as prisons—facilities protected by nested walls, watchtowers, and rottweilers that prowled the perimeters at night. The reason for the heavy security became clear as I dug deeper into an international news archive that chronicled a spate of fish thefts across Southeast Asia. In Malaysia, five arowana stolen from a woman’s house were worth more than all her other possessions combined. Singapore, which boasts one of the lowest crime rates in the world, once reported four such heists in a single week. One thief punched out an elderly woman who chased him as he made off with her prized fish in a sloshing bucket. He was sentenced to three years in prison and twelve strokes of a wet cane.As for who was taking the fish, some surmised that the thieves were fish lovers who could not afford the astronomical prices. Others suspected that a crime syndicate was behind the thefts—a sort of shadowy “fish mafia.” Bolstering this theory was a harrowing case in Indonesia, where an arowana dealer and his heavily armed cronies allegedly kidnapped and held for ransom a Japanese buyer.Despite all this criminality, however, the trade in the farmed fish was legal not only in Asia but throughout most of the world, including Canada and Europe—the one major exception (other than the United States) being Australia, which bans the species to protect its own tropical fauna. A few years back, a forty-five-year-old housewife was arrested at the Melbourne Airport trying to enter the country with fifty-one fish, including an Asian arowana, hidden beneath her poufy skirt. “We became suspicious after hearing these flipping and flapping noises,” a customs official later told the press.Such absurd tales of smuggling kept me up late as I poured through the hundred-some articles I’d printed out and spread across my living room floor. The picture that gradually emerged, however, looked less like the illegal drug trade and more like a parody of Manhattan’s overheated art scene, complete with record-breaking prices, anonymous buyers, stolen specimens, unsavory dealers, and even clever fakes. Whatever the best metaphor, it seemed the Asian arowana had a long history of driving human beings to dangerous extremes.One summer in college, I’d read Jane Goodall’s In the Shadow of Man, and ever since, I’d dreamed of venturing into the jungle to write a great story about wildlife. Around the time my curiosity in the arowana began, I’d been awarded a fellowship intended to fund a reporting project abroad. Now I knew how I’d use it: I would go see for myself where all these smuggled arowana were coming from and what made the species so irresistible. Goodall had her noble, tool-wielding primates—I would have a bad-tempered, bony-tongued fish.It was obvious where to start. At the center of the glamorous world of Southeast Asian aquaculture reigned a flamboyant Singaporean tastemaker known as Kenny the Fish, a chain-smoking millionaire fond of posing nude behind strategically placed aquatic pets. The Fish’s real name was Kenny Yap, and he was the executive chairman of an ornamental-fish farm so lucrative that it was listed on Singapore’s main stock exchange. Recently, the Singaporean press had dubbed him one of the city’s most eligible bachelors and called for him to host a national spin-off of Donald Trump’s reality show, The Apprentice. To enter his website, I had to click on his belly button.I’ve since come to think of this navel as the rabbit hole into which I fell, not to emerge for some three and a half years. ||||| One January evening as the tepid winter heat was beginning to subside across Singapore, a stranger walked into the Lam Hong Aquarium Shop. The owner, a bespectacled woman named Tay Chai Eng, knew most of her patrons, but she had never seen this man before. He was in his early thirties—young enough to be her son—and carrying a bucket of water. He was also concealing a six-inch knife. The moment Tay turned her back, the man plunged his hand into a tank, then raced out the door and into the parking lot. The older woman took off in frantic pursuit, catching the thief and latching onto his free arm like a barnacle. He dropped the bucket to punch her. It was just what she wanted—not the broken glasses or sliced cheek, but the five tiny young fish that spilled onto the asphalt, glinting like gold in the low rays of the sun. These were Asian arowana, the world’s most expensive aquarium fish. In Chinese, they’re known as lóng yú, the dragon fish. Four of them died that day. The one that survived is now two feet long, its sinuous body plated with large scales as shiny and round as coins. A pair of whiskers juts from its lower lip, and two gauzy pectoral fins extend from its sides, suggesting a dragon in flight. This resemblance has led to the belief that the species brings prosperity and good fortune, that it will even commit suicide by jumping out of its tank to prevent the death of its owner. Across Asia, tycoons boast of dropping six figures on the finest specimens. In the United States, the fish is protected by the Endangered Species Act—though a thriving black market persists. One Wall Street banker wept when authorities confiscated his illegal fish. How did a primitive predator from the swamps of Southeast Asia become such a coveted commodity? When I first began researching the fish, I expected to hear much about feng shui. I did. Ultimately, however, my reporting pointed me toward a more surprising story—the history of the species as a test case in conservation. In the mid-’70s, when the Asian arowana was still eaten more often than kept as a pet, its population was found to be declining due to overfishing and habitat loss. Consequently, the fish landed on the first Appendix I of the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES). Today CITES is one of the largest conservation agreements in the world, regulating the movement of some 35,000 species across the borders of 186 member states. The animals and plants on Appendix I are considered the rarest of the rare and generally banned from international trade. In the case of the Asian arowana, however, the listing seemed to backfire, propelling the species into the spotlight as a limited edition. Paradoxically, “declaring a species endangered may make it more desirable and thereby increase the likelihood of exploitation,” according to a study led by French conservation biologist Franck Courchamp, who elsewhere has pointed to the example of rhinos: After rhinos were moved to Appendix I, the value of their horn quadrupled in Korea, which led to a sharp spike in poaching. A similar phenomenon afflicts reptiles and amphibians in the exotic pet trade, where animals listed on CITES fetch a premium price. Economic theory has long held that trade alone is unlikely to drive a species to extinction, because of the rising cost of finding the last individuals of a dwindling population. Courchamp, however, proposes a new model that integrates a basic facet of human behavior well-known to economists since Adam Smith—the “paradox of value,” otherwise known as the “water and diamonds paradox.” While water has tremendous practical value, it’s worth nothing in exchange. Rare animals are the opposite, like diamonds. Their inflated value drives their exploitation, causing them to become ever rarer and hence more desirable until they’re sucked into an “extinction vortex.” One solution is to scrub species of the sheen of rarity, scrapping bans in favor of sustainable trade. This approach produced one of the greatest conservation success stories of the 20th century: the resurrection of crocodilians, which were rescued from the brink through ranching programs in which eggs are collected from the wild and reared in captivity for skins. Some biologists such as Courchamp argue that this model is the best way to save rhinos whose horns could be harvested like wool. Others warn that for ranching to work as a conservation tool it must place a value on the preservation of wild populations. Without that link, we’re likely to be left with an oxymoron like the Asian arowana: a mass-produced endangered species. Bred by the hundreds of thousands on high-security farms protected by nested walls, barbed wire, and rottweilers that prowl the perimeters at night, the fish has all but disappeared from nature. Emily Voigt is a journalist specializing in science and culture. She is the author of the just published book The Dragon Behind the Glass: A True Story of Power, Obsession, and the World’s Most Coveted Fish. Learn more at www.emilyvoigt.com. |||||Summary: ASSISTANT: An Asian Arowana fish, considered to bring good luck in some Asian cultures, was confiscated and euthanised by federal environmental department officers in Australia after a veterinary officer failed to detect a microchip, which is usually found in the species. It was only after the fish was dead that the microchip was found. The fish's owner, Kelly Hsu, claimed to have purchased the fish for $5,000 from a local supplier, but as Asian arowanas are considered threatened and listed on the Convention on International Trade in Endangered Species, trading the fish is banned unless under exceptional circumstances. Hsu pleaded guilty to possessing an endangered animal and was subsequently fined $800.

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You are an AI assistant. User will you give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.

In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an inner list you should output 0 for that list. [[36, -27, 18], [-10, 23, 28], [-30, 49, 29, 27]]

Step 1: Initialize an empty list called 'output_list'. Step 2: Iterate through each inner list in the input list of lists. Step 3: Check whether there are any even numbers in the inner list. Step 4: If there are even numbers in the inner list, multiply them and append the product to the 'output_list'. Step 5: If there are no even numbers in the inner list, append 0 to the 'output_list'. Step 6: Repeat steps 2-5 for all inner lists. Step 7: Return the 'output_list'. Here is how I will perform the steps: 1. Initialize empty list 'output_list'. output_list = [] 2. Iterate through each inner list in the input list of lists. for inner_list in [[36, -27, 18], [-10, 23, 28], [-30, 49, 29, 27]]: 3. Initialize a variable 'product' with the value 1 product = 1 4. Initialize a variable 'even_found' as False. even_found = False 5. Iterate through each number in the inner list. for num in inner_list: 5a. Check if the number is even (num % 2 == 0) if num % 2 == 0: 5b. Multiply the product by the even number. product = product * num 5c. Change the even_found variable value to True. even_found = True 6. After finishing iterating through the inner list, check if the even_found variable value is True. If it's True, append the product to the 'output_list', else append 0. if even_found: output_list.append(product) else: output_list.append(0) 7. The final 'output_list' contains the result. output_list = [648, -280, -30]

USER: In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an inner list you should output 0 for that list. [[36, -27, 18], [-10, 23, 28], [-30, 49, 29, 27]] ASSISTANT: Step 1: Initialize an empty list called 'output_list'. Step 2: Iterate through each inner list in the input list of lists. Step 3: Check whether there are any even numbers in the inner list. Step 4: If there are even numbers in the inner list, multiply them and append the product to the 'output_list'. Step 5: If there are no even numbers in the inner list, append 0 to the 'output_list'. Step 6: Repeat steps 2-5 for all inner lists. Step 7: Return the 'output_list'. Here is how I will perform the steps: 1. Initialize empty list 'output_list'. output_list = [] 2. Iterate through each inner list in the input list of lists. for inner_list in [[36, -27, 18], [-10, 23, 28], [-30, 49, 29, 27]]: 3. Initialize a variable 'product' with the value 1 product = 1 4. Initialize a variable 'even_found' as False. even_found = False 5. Iterate through each number in the inner list. for num in inner_list: 5a. Check if the number is even (num % 2 == 0) if num % 2 == 0: 5b. Multiply the product by the even number. product = product * num 5c. Change the even_found variable value to True. even_found = True 6. After finishing iterating through the inner list, check if the even_found variable value is True. If it's True, append the product to the 'output_list', else append 0. if even_found: output_list.append(product) else: output_list.append(0) 7. The final 'output_list' contains the result. output_list = [648, -280, -30]

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Given a definition of a task and a sample input, break the definition into small parts. Each of those parts will have some instruction. Explain their meaning by showing an example that meets the criteria in the instruction. Use the following format: Part # : a key part of the definition. Usage: Sample response that meets the criteria from the key part. Explain why you think it meets the criteria.

Detailed Instructions: Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, location (proximity), card games, outdoor sport activity, military rank, baby animals, weather, consumer product, animals, boxing terminology, food, chocolate food, bird, type of sandwich, date status, body part, ocean, employment activity, moral characteristic, elements, poker, computers, construction, guitar part, shady activities, physical activity, kitchenware, temperature, type of rigidity, emotional status, season, mode of transportation, window material, activity, emotional display, geographical property, fried food, store status, widespread, aesthetic characteristic, alcoholic drinks, secretary duty, direction, personal characteristic, and animal. Q: elbow, foot, heel, arm A:

Part #1: Understand the given set of four words. Usage: elbow, foot, heel, arm. These are all body parts of a human. Part #2: Identify the category the words belong to. Usage: In this case, the words belong to the "body part" category. The given words are all related to human body parts, and "body part" is a possible category from the provided list.

USER: Detailed Instructions: Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, location (proximity), card games, outdoor sport activity, military rank, baby animals, weather, consumer product, animals, boxing terminology, food, chocolate food, bird, type of sandwich, date status, body part, ocean, employment activity, moral characteristic, elements, poker, computers, construction, guitar part, shady activities, physical activity, kitchenware, temperature, type of rigidity, emotional status, season, mode of transportation, window material, activity, emotional display, geographical property, fried food, store status, widespread, aesthetic characteristic, alcoholic drinks, secretary duty, direction, personal characteristic, and animal. Q: elbow, foot, heel, arm A: ASSISTANT: Part #1: Understand the given set of four words. Usage: elbow, foot, heel, arm. These are all body parts of a human. Part #2: Identify the category the words belong to. Usage: In this case, the words belong to the "body part" category. The given words are all related to human body parts, and "body part" is a possible category from the provided list.

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You are an AI assistant. User will you give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.

Question: Given the fact that: The closer together the particles are, the greater the amplitude of the wave. Answer the question: Theo moved far from Gary. The amplitude of the light bouncing off of them likely decreases or increases? Answer:

In order to answer this question, we need to consider the key fact: The closer together the particles are, the greater the amplitude of the wave. Step 1: Understand the fact The fact states that when the distance between particles is smaller, the amplitude of the wave is greater. Conversely, when the distance between particles is greater, the amplitude of the wave is smaller. Step 2: Apply the fact to the given situation Theo moves away from Gary. As a result, the distance between them increases. Step 3: Determine the change in the amplitude Since the distance between Theo and Gary increases after Theo moves away, the amplitude of the wave, or the light bouncing off of them, would likely decrease. Answer: The amplitude of the light bouncing off of Theo and Gary likely decreases.

USER: Question: Given the fact that: The closer together the particles are, the greater the amplitude of the wave. Answer the question: Theo moved far from Gary. The amplitude of the light bouncing off of them likely decreases or increases? Answer: ASSISTANT: In order to answer this question, we need to consider the key fact: The closer together the particles are, the greater the amplitude of the wave. Step 1: Understand the fact The fact states that when the distance between particles is smaller, the amplitude of the wave is greater. Conversely, when the distance between particles is greater, the amplitude of the wave is smaller. Step 2: Apply the fact to the given situation Theo moves away from Gary. As a result, the distance between them increases. Step 3: Determine the change in the amplitude Since the distance between Theo and Gary increases after Theo moves away, the amplitude of the wave, or the light bouncing off of them, would likely decrease. Answer: The amplitude of the light bouncing off of Theo and Gary likely decreases.

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User will you give you a task with some instruction. Your job is follow the instructions as faithfully as you can. While answering think step-by-step and justify your answer.

Q: In this task, you are given an input i,A where i is an integer and A is an array. You need to find every ith element of A starting with the 1st element. 4, ['1417', '1981', 'O', 'F', '9029', '359', '3581', '3187', '6401', '961', 'e', 'X', '7549', 'c', '6927', '8545', '9731', 'o', '5681', '4267', 't', 'O', 'C', 'Q', '809', 'R', 'I', 'T', '9053', '2237', 'k', 'K', '1563', '8319', 'H', '6299', '1527', 'U', '2985', 'X', '241', '6337', 'Y', '5747', '8737', '8441'] A:

To find every ith element of A starting with the 1st element, follow these steps: 1. Assign the given integer value (i) to a variable called 'step'. 2. Assign the given array (A) to a variable called 'input_array'. 3. Create an empty list called 'result'. 4. Loop through the input_array using a for loop with an additional variable called 'index'. 5. In each iteration, check if the index is a multiple of the step value minus 1 (since indexing starts with 0). 6. If the condition is satisfied, add the corresponding element to the 'result' list. 7. After the loop ends, return the 'result' list as the final output. Given i = 4 and A = ['1417', '1981', 'O', 'F', '9029', '359', '3581', '3187', '6401', '961', 'e', 'X', '7549', 'c', '6927', '8545', '9731', 'o', '5681', '4267', 't', 'O', 'C', 'Q', '809', 'R', 'I', 'T', '9053', '2237', 'k', 'K', '1563', '8319', 'H', '6299', '1527', 'U', '2985', 'X', '241', '6337', 'Y', '5747', '8737', '8441'] Let's perform the steps: 1. step = 4 2. input_array = ['1417', '1981', 'O', 'F', '9029', '359', '3581', '3187', '6401', '961', 'e', 'X', '7549', 'c', '6927', '8545', '9731', 'o', '5681', '4267', 't', 'O', 'C', 'Q', '809', 'R', 'I', 'T', '9053', '2237', 'k', 'K', '1563', '8319', 'H', '6299', '1527', 'U', '2985', 'X', '241', '6337', 'Y', '5747', '8737', '8441'] 3. result = [] 4. Loop through input_array: - index = 0, element = '1417'; index is a multiple of step - 1 (0 = 4 - 1); result = ['1417'] - index = 1, element = '1981'; not a multiple of step - 1; result unchanged - index = 2, element = 'O'; not a multiple of step - 1; result unchanged - index = 3, element = 'F'; not a multiple of step - 1; result unchanged - index = 4, element = '9029'; index is a multiple of step - 1 (4 = 4 - 1); result = ['1417', '9029'] - Continue with the rest of the elements in a similar manner. 7. result = ['1417', '9029', '6401', '7549', '9731', 't', '809', '9053', 'K', 'H', 'U', '241', '5747'] The final output is ['1417', '9029', '6401', '7549', '9731', 't', '809', '9053', 'K', 'H', 'U', '241', '5747'].

USER: Q: In this task, you are given an input i,A where i is an integer and A is an array. You need to find every ith element of A starting with the 1st element. 4, ['1417', '1981', 'O', 'F', '9029', '359', '3581', '3187', '6401', '961', 'e', 'X', '7549', 'c', '6927', '8545', '9731', 'o', '5681', '4267', 't', 'O', 'C', 'Q', '809', 'R', 'I', 'T', '9053', '2237', 'k', 'K', '1563', '8319', 'H', '6299', '1527', 'U', '2985', 'X', '241', '6337', 'Y', '5747', '8737', '8441'] A: ASSISTANT: To find every ith element of A starting with the 1st element, follow these steps: 1. Assign the given integer value (i) to a variable called 'step'. 2. Assign the given array (A) to a variable called 'input_array'. 3. Create an empty list called 'result'. 4. Loop through the input_array using a for loop with an additional variable called 'index'. 5. In each iteration, check if the index is a multiple of the step value minus 1 (since indexing starts with 0). 6. If the condition is satisfied, add the corresponding element to the 'result' list. 7. After the loop ends, return the 'result' list as the final output. Given i = 4 and A = ['1417', '1981', 'O', 'F', '9029', '359', '3581', '3187', '6401', '961', 'e', 'X', '7549', 'c', '6927', '8545', '9731', 'o', '5681', '4267', 't', 'O', 'C', 'Q', '809', 'R', 'I', 'T', '9053', '2237', 'k', 'K', '1563', '8319', 'H', '6299', '1527', 'U', '2985', 'X', '241', '6337', 'Y', '5747', '8737', '8441'] Let's perform the steps: 1. step = 4 2. input_array = ['1417', '1981', 'O', 'F', '9029', '359', '3581', '3187', '6401', '961', 'e', 'X', '7549', 'c', '6927', '8545', '9731', 'o', '5681', '4267', 't', 'O', 'C', 'Q', '809', 'R', 'I', 'T', '9053', '2237', 'k', 'K', '1563', '8319', 'H', '6299', '1527', 'U', '2985', 'X', '241', '6337', 'Y', '5747', '8737', '8441'] 3. result = [] 4. Loop through input_array: - index = 0, element = '1417'; index is a multiple of step - 1 (0 = 4 - 1); result = ['1417'] - index = 1, element = '1981'; not a multiple of step - 1; result unchanged - index = 2, element = 'O'; not a multiple of step - 1; result unchanged - index = 3, element = 'F'; not a multiple of step - 1; result unchanged - index = 4, element = '9029'; index is a multiple of step - 1 (4 = 4 - 1); result = ['1417', '9029'] - Continue with the rest of the elements in a similar manner. 7. result = ['1417', '9029', '6401', '7549', '9731', 't', '809', '9053', 'K', 'H', 'U', '241', '5747'] The final output is ['1417', '9029', '6401', '7549', '9731', 't', '809', '9053', 'K', 'H', 'U', '241', '5747'].

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You are an AI assistant. User will you give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.

Given the task definition and input, reply with output. You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None Event:PersonX learns how to give the ultimate pleasure. Intent: 1) to be in person place. XEmotion: 1) satisfied

In order to determine PersonY's reaction, let's analyze the information provided: 1. Event: PersonX learns how to give the ultimate pleasure. 2. Intent: PersonY wants to be in PersonX's place. 3. XEmotion: PersonX is satisfied. PersonY's reaction: envious

USER: Given the task definition and input, reply with output. You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None Event:PersonX learns how to give the ultimate pleasure. Intent: 1) to be in person place. XEmotion: 1) satisfied ASSISTANT: In order to determine PersonY's reaction, let's analyze the information provided: 1. Event: PersonX learns how to give the ultimate pleasure. 2. Intent: PersonY wants to be in PersonX's place. 3. XEmotion: PersonX is satisfied. PersonY's reaction: envious

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You are an AI assistant that follows instruction extremely well. Help as much as you can.

Instructions: In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer. Input: Context: Packing shipments as we speak! Is this yours? ShipSnowYo.com! ❄️ (@shipsnowyo) February 25, 2015 Answer: packing Output:

What is ShipSnowYo.com currently doing with the shipments?

USER: Instructions: In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer. Input: Context: Packing shipments as we speak! Is this yours? ShipSnowYo.com! ❄️ (@shipsnowyo) February 25, 2015 Answer: packing Output: ASSISTANT: What is ShipSnowYo.com currently doing with the shipments?

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You are an AI assistant that follows instruction extremely well. Help as much as you can.

Teacher:In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head causes the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action. Teacher: Now, understand the problem? Solve this instance: Head: drug use<sep>Tail: memory loss Student:

Yes

USER: Teacher:In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head causes the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action. Teacher: Now, understand the problem? Solve this instance: Head: drug use<sep>Tail: memory loss Student: ASSISTANT: Yes

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Please answer the following question: I'm taking a test and have to guess the right answer to the question after the article. Article: A lot of grown-ups worry that spending too much time playing video games isn't good for a kid's health. Now some doctors have noticed that kids who bring their hand-held game players to the hospital seem less worried about being there. These patients also seem to experience less pain when they are concentrating on a superhero adventure or a car race. At the Johns Hopkins Children's Center in Maryland, young patients are finding hospital visits easier to deal with, thanks to a test program called the Hospital-based On-line Pediatric Environment (HOPE). Patients in HOPE have a life-threatening condition where their kidneys no longer filter wastes from their blood. To get their blood cleaned, these kids must be hooked up to dialysis machines at the hospital three times a week, for at least three hours each time. HOPE allows kids to play online sports, racing, and adventure games with each other. Eventually they will be able to connect with kids in other hospitals who are suffering from the same problem. "We want to use the power of the Internet to bring together kids who feel that they are separated by their illness, and let them know that they are not alone," said Arun Mathews, the doctor who heads the program. He loves video games himself and got the idea to connect kids all over the country. Many researchers elsewhere are testing video game programs that might help young patients. For example, nine-year-old Ben Duskin of San Francisco, who was struggling with cancer helped to design a video game where players get rid of cancer cells. That's all great news, because doctors already know that reducing pain and worry helps patients heal faster. Question: Which of the following plays the most important role in the HOPE project? Options: A: Music. B: The Internet. C: Novels. D: Films. Answer:

B: The Internet.

USER: Please answer the following question: I'm taking a test and have to guess the right answer to the question after the article. Article: A lot of grown-ups worry that spending too much time playing video games isn't good for a kid's health. Now some doctors have noticed that kids who bring their hand-held game players to the hospital seem less worried about being there. These patients also seem to experience less pain when they are concentrating on a superhero adventure or a car race. At the Johns Hopkins Children's Center in Maryland, young patients are finding hospital visits easier to deal with, thanks to a test program called the Hospital-based On-line Pediatric Environment (HOPE). Patients in HOPE have a life-threatening condition where their kidneys no longer filter wastes from their blood. To get their blood cleaned, these kids must be hooked up to dialysis machines at the hospital three times a week, for at least three hours each time. HOPE allows kids to play online sports, racing, and adventure games with each other. Eventually they will be able to connect with kids in other hospitals who are suffering from the same problem. "We want to use the power of the Internet to bring together kids who feel that they are separated by their illness, and let them know that they are not alone," said Arun Mathews, the doctor who heads the program. He loves video games himself and got the idea to connect kids all over the country. Many researchers elsewhere are testing video game programs that might help young patients. For example, nine-year-old Ben Duskin of San Francisco, who was struggling with cancer helped to design a video game where players get rid of cancer cells. That's all great news, because doctors already know that reducing pain and worry helps patients heal faster. Question: Which of the following plays the most important role in the HOPE project? Options: A: Music. B: The Internet. C: Novels. D: Films. Answer: ASSISTANT: B: The Internet.

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Generate a 5-star review (1 being lowest and 5 being highest) about an app with package com.grarak.kerneladiutor.

Title: Unbelievable Performance Boost – A Must-Have App! Rating: ⭐⭐⭐⭐⭐ Review: I cannot stress enough just how thrilled I am with the com.grarak.kerneladiutor app. From the very first moment I installed it on my phone, I knew I struck gold. This app is every tech enthusiast's dream come true. The impressive range of settings and customizability transformed my android experience. With com.grarak.kerneladiutor, I took complete control of my device's performance, battery life, and operating temperature – everything has improved remarkably. Navigating through the user interface is a breeze; it's intuitive, well-organized and aesthetically pleasing. The app even offers detailed explanations for each setting and makes tweaking my kernel settings less intimidating. As someone who's had adverse experiences with similar apps in the past, I found the com.grarak.kerneladiutor to be exceptional in ensuring the stability of my system. Furthermore, the app is regularly updated, giving me complete confidence in the developer's commitment to improving this already incredible app. The support is also fantastic. Whenever I face an issue or have a question, the team is quick to respond, and their answers are always helpful. In conclusion, words cannot express just how impressed I am with the com.grarak.kerneladiutor app. It's transformed my device into a powerhouse and unlocked capabilities I never knew existed. A huge thank you to the developers for creating a true masterpiece. It's a must-have for anyone looking to take control of their device, highly recommended!

USER: Generate a 5-star review (1 being lowest and 5 being highest) about an app with package com.grarak.kerneladiutor. ASSISTANT: Title: Unbelievable Performance Boost – A Must-Have App! Rating: ⭐⭐⭐⭐⭐ Review: I cannot stress enough just how thrilled I am with the com.grarak.kerneladiutor app. From the very first moment I installed it on my phone, I knew I struck gold. This app is every tech enthusiast's dream come true. The impressive range of settings and customizability transformed my android experience. With com.grarak.kerneladiutor, I took complete control of my device's performance, battery life, and operating temperature – everything has improved remarkably. Navigating through the user interface is a breeze; it's intuitive, well-organized and aesthetically pleasing. The app even offers detailed explanations for each setting and makes tweaking my kernel settings less intimidating. As someone who's had adverse experiences with similar apps in the past, I found the com.grarak.kerneladiutor to be exceptional in ensuring the stability of my system. Furthermore, the app is regularly updated, giving me complete confidence in the developer's commitment to improving this already incredible app. The support is also fantastic. Whenever I face an issue or have a question, the team is quick to respond, and their answers are always helpful. In conclusion, words cannot express just how impressed I am with the com.grarak.kerneladiutor app. It's transformed my device into a powerhouse and unlocked capabilities I never knew existed. A huge thank you to the developers for creating a true masterpiece. It's a must-have for anyone looking to take control of their device, highly recommended!

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You are an AI assistant. You will be given a task. You must generate a detailed and long answer.

Translate "If there is any utility to be able to pitch or even surpass these two large compressors it would PowerArchiver. This powerful tool brings together the best features of its kind and along with an excellent graphical interface which is comprehensive..." to German?

"Wenn es irgendeinen Nutzen gibt, diese beiden großen Kompressoren übertreffen oder sogar übertreffen zu können, wäre es PowerArchiver. Dieses leistungsstarke Tool vereint die besten Funktionen seiner Art und bietet dazu eine hervorragende grafische Benutzeroberfläche, die umfassend ist..."

USER: Translate "If there is any utility to be able to pitch or even surpass these two large compressors it would PowerArchiver. This powerful tool brings together the best features of its kind and along with an excellent graphical interface which is comprehensive..." to German? ASSISTANT: "Wenn es irgendeinen Nutzen gibt, diese beiden großen Kompressoren übertreffen oder sogar übertreffen zu können, wäre es PowerArchiver. Dieses leistungsstarke Tool vereint die besten Funktionen seiner Art und bietet dazu eine hervorragende grafische Benutzeroberfläche, die umfassend ist..."

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You are an AI assistant. Provide a detailed answer so user don’t need to search outside to understand the answer.

Instructions: Given a set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas. Input: cards, pack, joker, deck, knockout Output:

knockout

USER: Instructions: Given a set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas. Input: cards, pack, joker, deck, knockout Output: ASSISTANT: knockout

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Question: Use information from the paragraph to answer the question. Paragraph : The smaller its mass is, the greater its acceleration for a given amount of force. Question: What happens to a light car when it has the same power as a heavy car accelerates faster or accelerates slower? Answer:

A light car with the same power as a heavy car accelerates faster.

USER: Question: Use information from the paragraph to answer the question. Paragraph : The smaller its mass is, the greater its acceleration for a given amount of force. Question: What happens to a light car when it has the same power as a heavy car accelerates faster or accelerates slower? Answer: ASSISTANT: A light car with the same power as a heavy car accelerates faster.

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You are an AI assistant. Provide a detailed answer so user don’t need to search outside to understand the answer.

Q: Based on this review, would the user recommend this product? === Review: The only book multivariate stats books Ive found that bases its approach on a geometrical interpretation of what is being done. It succeeds in imparting an intuitive picture of the ideas behind the math - very clearly written, and informative. Answer: The answer is:

Yes, based on the given review, the user would likely recommend this product. The review highlights the book's unique geometrical approach to multivariate stats, its success in providing an intuitive understanding of the ideas behind the math, and the clarity and informativeness of its writing.

USER: Q: Based on this review, would the user recommend this product? === Review: The only book multivariate stats books Ive found that bases its approach on a geometrical interpretation of what is being done. It succeeds in imparting an intuitive picture of the ideas behind the math - very clearly written, and informative. Answer: The answer is: ASSISTANT: Yes, based on the given review, the user would likely recommend this product. The review highlights the book's unique geometrical approach to multivariate stats, its success in providing an intuitive understanding of the ideas behind the math, and the clarity and informativeness of its writing.

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You are an AI assistant. User will you give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.

You will be given a definition of a task first, then some input of the task. In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization. ['l', '253', '6607', '3697', '9307', '485', '2127', 'l', 'X', 'G', '3115', 'L', 'Z', '9007', 'v', '5839', 'p', '1859'] Output:

To complete the task, I will iterate through the input list and check if each element is an alphabet. If it is, I will append it to an output list. Finally, I will return the output list. 1. Initialize an empty list called output. 2. Loop through the input list A. 3. For each element in A, check if it is an alphabet character using the isalpha() method. 4. If the element is an alphabet character, append it to the output list. 5. Continue the loop until all elements in A have been checked. 6. Return the output list. Now, let's execute the steps using the given input list: Input list A: ['l', '253', '6607', '3697', '9307', '485', '2127', 'l', 'X', 'G', '3115', 'L', 'Z', '9007', 'v', '5839', 'p', '1859'] 1. Initialize an empty list called output. output = [] 2. Loop through the input list A. for element in A: 3. Check if the element is an alphabet character using the isalpha() method. if element.isalpha(): 4. Append the alphabet character to the output list. output.append(element) 5. Continue the loop until all elements in A have been checked. 6. Return the output list. Output: ['l', 'l', 'X', 'G', 'L', 'Z', 'v', 'p']

USER: You will be given a definition of a task first, then some input of the task. In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization. ['l', '253', '6607', '3697', '9307', '485', '2127', 'l', 'X', 'G', '3115', 'L', 'Z', '9007', 'v', '5839', 'p', '1859'] Output: ASSISTANT: To complete the task, I will iterate through the input list and check if each element is an alphabet. If it is, I will append it to an output list. Finally, I will return the output list. 1. Initialize an empty list called output. 2. Loop through the input list A. 3. For each element in A, check if it is an alphabet character using the isalpha() method. 4. If the element is an alphabet character, append it to the output list. 5. Continue the loop until all elements in A have been checked. 6. Return the output list. Now, let's execute the steps using the given input list: Input list A: ['l', '253', '6607', '3697', '9307', '485', '2127', 'l', 'X', 'G', '3115', 'L', 'Z', '9007', 'v', '5839', 'p', '1859'] 1. Initialize an empty list called output. output = [] 2. Loop through the input list A. for element in A: 3. Check if the element is an alphabet character using the isalpha() method. if element.isalpha(): 4. Append the alphabet character to the output list. output.append(element) 5. Continue the loop until all elements in A have been checked. 6. Return the output list. Output: ['l', 'l', 'X', 'G', 'L', 'Z', 'v', 'p']

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You are an AI assistant. User will you give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.

Question: Question: "how were floods able to be forecast?" Context: "The tide-predicting machine invented by Sir William Thomson in 1872 was of great utility to navigation in shallow waters. It used a system of pulleys and wires to automatically calculate predicted tide levels for a set period at a particular location." Answer: Answer:

Floods were able to be forecast by using a combination of tide-predicting machines, meteorological data, and evolving technology. Here are the step-by-step justifications for how they were able to do this: 1. Invention of the tide-predicting machine (1872): Sir William Thomson's tide-predicting machine provided an early method of forecasting potential flooding by calculating predicted tide levels for a specific location and time frame. This allowed for more reliable navigation in shallow waters and served as an early warning system for high tides that could lead to flooding. 2. Collection and analysis of meteorological data: Over time, the collection of weather data, such as rainfall, atmospheric pressure, and wind patterns, helped scientists and researchers better understand the relationships between these factors and the occurrence of floods. By tracking and analyzing this data, they were able to develop more accurate flood forecasts and identify areas at high risk of flooding. 3. Development of hydrological models: With the advancement of science and technology, researchers started developing hydrological models that use mathematical equations to simulate the movement of water through a watershed. These models consider various factors, such as precipitation, soil properties, and terrain, to predict the likelihood of floods based on the current and forecasted weather conditions. 4. Remote sensing and satellite technology: As satellite technology improved, experts began to collect data on precipitation, soil moisture, and vegetation cover from remote locations. This allowed for more accurate flood forecasting, as the data provided more real-time information about the conditions that lead to flooding events. 5. Integration of data and technology: By combining the data collected from tide-predicting machines, meteorological data, hydrological models, and remote sensing technology, flood forecasting systems have become increasingly more accurate and advanced. Today, weather and hydrological agencies around the world work together to provide timely and reliable flood forecasts to help manage flood risks and minimize damage. In conclusion, floods were able to be forecast through the integration of tide-predicting machines, meteorological data, hydrological models, and advancements in remote sensing technology. These tools and methods have evolved over time to provide more accurate and sophisticated flood predictions, ultimately helping to mitigate the risks associated with flooding.

USER: Question: Question: "how were floods able to be forecast?" Context: "The tide-predicting machine invented by Sir William Thomson in 1872 was of great utility to navigation in shallow waters. It used a system of pulleys and wires to automatically calculate predicted tide levels for a set period at a particular location." Answer: Answer: ASSISTANT: Floods were able to be forecast by using a combination of tide-predicting machines, meteorological data, and evolving technology. Here are the step-by-step justifications for how they were able to do this: 1. Invention of the tide-predicting machine (1872): Sir William Thomson's tide-predicting machine provided an early method of forecasting potential flooding by calculating predicted tide levels for a specific location and time frame. This allowed for more reliable navigation in shallow waters and served as an early warning system for high tides that could lead to flooding. 2. Collection and analysis of meteorological data: Over time, the collection of weather data, such as rainfall, atmospheric pressure, and wind patterns, helped scientists and researchers better understand the relationships between these factors and the occurrence of floods. By tracking and analyzing this data, they were able to develop more accurate flood forecasts and identify areas at high risk of flooding. 3. Development of hydrological models: With the advancement of science and technology, researchers started developing hydrological models that use mathematical equations to simulate the movement of water through a watershed. These models consider various factors, such as precipitation, soil properties, and terrain, to predict the likelihood of floods based on the current and forecasted weather conditions. 4. Remote sensing and satellite technology: As satellite technology improved, experts began to collect data on precipitation, soil moisture, and vegetation cover from remote locations. This allowed for more accurate flood forecasting, as the data provided more real-time information about the conditions that lead to flooding events. 5. Integration of data and technology: By combining the data collected from tide-predicting machines, meteorological data, hydrological models, and remote sensing technology, flood forecasting systems have become increasingly more accurate and advanced. Today, weather and hydrological agencies around the world work together to provide timely and reliable flood forecasts to help manage flood risks and minimize damage. In conclusion, floods were able to be forecast through the integration of tide-predicting machines, meteorological data, hydrological models, and advancements in remote sensing technology. These tools and methods have evolved over time to provide more accurate and sophisticated flood predictions, ultimately helping to mitigate the risks associated with flooding.

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User will you give you a task with some instruction. Your job is follow the instructions as faithfully as you can. While answering think step-by-step and justify your answer.

Teacher:In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations. Teacher: Now, understand the problem? Solve this instance: Context: Jesse is throwing a surprise party for Jan. Jesse makes a list of everything they need to do to prepare for the party. Question: What will Jesse want to do next? Options: (A) over (B) invite guests and buy party supplies (C) discuss the party with Jan and others Answer: B Student:

Yes

USER: Teacher:In this task, you're given a context, a question, three options, and an answer. Your task is to classify whether the given answer is correct or not by providing 'Yes' or 'No', based on the context with commonsense reasoning about social situations. Teacher: Now, understand the problem? Solve this instance: Context: Jesse is throwing a surprise party for Jan. Jesse makes a list of everything they need to do to prepare for the party. Question: What will Jesse want to do next? Options: (A) over (B) invite guests and buy party supplies (C) discuss the party with Jan and others Answer: B Student: ASSISTANT: Yes

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Question: "What light emitting diodes are there?" Context: "Alphanumeric LEDs are available in seven-segment, starburst and dot-matrix format. Seven-segment displays handle all numbers and a limited set of letters. Starburst displays can display all letters. Dot-matrix displays typically use 5x7 pixels per character. Seven-segment LED displays were in widespread use in the 1970s and 1980s, but rising use of liquid crystal displays, with their lower power needs and greater display flexibility, has reduced the popularity of numeric and alphanumeric LED displays." Answer:

There are various light-emitting diodes (LEDs) available, including alphanumeric LEDs such as seven-segment, starburst, and dot-matrix formats. Seven-segment displays can handle numbers and a limited set of letters, starburst displays can display all letters, and dot-matrix displays typically use 5x7 pixels per character. However, the popularity of numeric and alphanumeric LED displays has decreased due to the rising use of liquid crystal displays, which offer lower power consumption and greater display flexibility.

USER: Question: "What light emitting diodes are there?" Context: "Alphanumeric LEDs are available in seven-segment, starburst and dot-matrix format. Seven-segment displays handle all numbers and a limited set of letters. Starburst displays can display all letters. Dot-matrix displays typically use 5x7 pixels per character. Seven-segment LED displays were in widespread use in the 1970s and 1980s, but rising use of liquid crystal displays, with their lower power needs and greater display flexibility, has reduced the popularity of numeric and alphanumeric LED displays." Answer: ASSISTANT: There are various light-emitting diodes (LEDs) available, including alphanumeric LEDs such as seven-segment, starburst, and dot-matrix formats. Seven-segment displays can handle numbers and a limited set of letters, starburst displays can display all letters, and dot-matrix displays typically use 5x7 pixels per character. However, the popularity of numeric and alphanumeric LED displays has decreased due to the rising use of liquid crystal displays, which offer lower power consumption and greater display flexibility.

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You are an AI assistant. You will be given a task. You must generate a detailed and long answer.

This text is missing some spaces, please add them: D70515314Downlightluminaires,forRecessedmounting,diameter168mm,IP55fromunderneath,lightsourceLED,lumenout1422lm,ballasttypeDALI=digitaladdressablelightinginterface,withlightsourcetypeCRI>80,3000K,withLinectplug,optictypeSM-Silvermattreflecor.

Here's the text with the spaces added: D70515314 Downlight luminaires, for Recessed mounting, diameter 168mm, IP55 from underneath, light source LED, lumen out 1422lm, ballast type DALI = digital addressable lighting interface, with light source type CRI > 80, 3000K, with Linect plug, optic type SM - Silver matt reflector. The text appears to be a specification of a downlight luminaire with the following features: 1. Product ID: D70515314 2. Luminaire type: Downlight luminaires 3. Mounting method: Recessed mounting (mounted into a hollow opening in a ceiling) 4. Diameter: 168mm 5. Ingress Protection (IP) rating: IP55 from underneath (protected from limited dust ingress and low-pressure water jets from any direction) 6. Light source: LED (Light Emitting Diode) 7. Lumen output: 1422 lumens (a measure of the total amount of visible light emitted by the LED) 8. Ballast type: DALI or Digital Addressable Lighting Interface (a communication protocol designed for controlling and monitoring lighting in buildings) 9. Light source specifications: CRI (Color Rendering Index) greater than 80, indicates good color rendering capability, and a color temperature of 3000K (which is warm white light) 10. Connectivity: Linect plug (a plug/socket connection system used for easy luminaire installation and connection) 11. Optic type: SM or Silver matt reflector (a type of reflector material with a silver matte finish to help direct and spread light) This specific downlight luminaire seems well-suited for various residential and commercial applications where aesthetics, energy efficiency, and precise lighting control are important.

USER: This text is missing some spaces, please add them: D70515314Downlightluminaires,forRecessedmounting,diameter168mm,IP55fromunderneath,lightsourceLED,lumenout1422lm,ballasttypeDALI=digitaladdressablelightinginterface,withlightsourcetypeCRI>80,3000K,withLinectplug,optictypeSM-Silvermattreflecor. ASSISTANT: Here's the text with the spaces added: D70515314 Downlight luminaires, for Recessed mounting, diameter 168mm, IP55 from underneath, light source LED, lumen out 1422lm, ballast type DALI = digital addressable lighting interface, with light source type CRI > 80, 3000K, with Linect plug, optic type SM - Silver matt reflector. The text appears to be a specification of a downlight luminaire with the following features: 1. Product ID: D70515314 2. Luminaire type: Downlight luminaires 3. Mounting method: Recessed mounting (mounted into a hollow opening in a ceiling) 4. Diameter: 168mm 5. Ingress Protection (IP) rating: IP55 from underneath (protected from limited dust ingress and low-pressure water jets from any direction) 6. Light source: LED (Light Emitting Diode) 7. Lumen output: 1422 lumens (a measure of the total amount of visible light emitted by the LED) 8. Ballast type: DALI or Digital Addressable Lighting Interface (a communication protocol designed for controlling and monitoring lighting in buildings) 9. Light source specifications: CRI (Color Rendering Index) greater than 80, indicates good color rendering capability, and a color temperature of 3000K (which is warm white light) 10. Connectivity: Linect plug (a plug/socket connection system used for easy luminaire installation and connection) 11. Optic type: SM or Silver matt reflector (a type of reflector material with a silver matte finish to help direct and spread light) This specific downlight luminaire seems well-suited for various residential and commercial applications where aesthetics, energy efficiency, and precise lighting control are important.

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You are an AI assistant. User will you give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.

I'm taking a test and have to guess the right answer to the question after the article. Article: A four-year-old girl sees three biscuits divided between a stuffed crocodile and a teddy bear.The crocodile gets two; the bear one."Is that fair?" asks the experimenter.The girl judges that it is not."How about now?" asks the experimenter, breaking the bear's single biscuit in half.The girl cheers up: "Oh yes, now it's fair.They both have two." Strangely, children feel very strongly about fairness, even when they hardly understand it. Adults care about fairness too --- but how much? One way to find out is by using the ultimatum game, created by economist Werner Guth.Jack is given a pile of money and proposes how it should be divided with Jill.Jill can accept Jack's "ultimatum", otherwise the deal is off, and neither gets anything. Suppose Jack and Jill don't care about fairness, just about accumulating cash.Then Jack can offer Jill as little as he likes and Jill will still accept.After all, a little money is more than no money.But imagine, instead, that Jack and Jill both care only about fairness and that the fairest outcome is equality.Then Jack would offer Jill half the money; and Jill wouldn't accept otherwise. What happens when we ask people to play this game for real? It turns out that people value fairness a lot.Anyone offered less than 20-30% of the money is likely to reject it.Receiving an unfair offers makes us feel sick.Happily, most offers are pretty equitable; indeed, by far the most common is a 50-50 split. But children, and adults, also care about a very different sort of (un)fairness, namely cheating.Think how many games of snakes and ladders have ended in arguments when one child "accidentally" miscounts her moves and another child objects.But this sense of fairness isn't about equality of outcome: games inevitably have winners and losers.Here, fairness is about playing by the rules. Both fairness-as-equality and fairness-as-no-cheating matter.Which is more important: equality or no-cheating? I think the answer is neither.The national lottery , like other lotteries, certainly doesn't make... Question: The main purpose of the passage is to _ Options: A: declare the importance of fairness B: suggest how to achieve fairness C: present different attitudes to fairness D: explain why we love fairness Answer:

C: present different attitudes to fairness

USER: I'm taking a test and have to guess the right answer to the question after the article. Article: A four-year-old girl sees three biscuits divided between a stuffed crocodile and a teddy bear.The crocodile gets two; the bear one."Is that fair?" asks the experimenter.The girl judges that it is not."How about now?" asks the experimenter, breaking the bear's single biscuit in half.The girl cheers up: "Oh yes, now it's fair.They both have two." Strangely, children feel very strongly about fairness, even when they hardly understand it. Adults care about fairness too --- but how much? One way to find out is by using the ultimatum game, created by economist Werner Guth.Jack is given a pile of money and proposes how it should be divided with Jill.Jill can accept Jack's "ultimatum", otherwise the deal is off, and neither gets anything. Suppose Jack and Jill don't care about fairness, just about accumulating cash.Then Jack can offer Jill as little as he likes and Jill will still accept.After all, a little money is more than no money.But imagine, instead, that Jack and Jill both care only about fairness and that the fairest outcome is equality.Then Jack would offer Jill half the money; and Jill wouldn't accept otherwise. What happens when we ask people to play this game for real? It turns out that people value fairness a lot.Anyone offered less than 20-30% of the money is likely to reject it.Receiving an unfair offers makes us feel sick.Happily, most offers are pretty equitable; indeed, by far the most common is a 50-50 split. But children, and adults, also care about a very different sort of (un)fairness, namely cheating.Think how many games of snakes and ladders have ended in arguments when one child "accidentally" miscounts her moves and another child objects.But this sense of fairness isn't about equality of outcome: games inevitably have winners and losers.Here, fairness is about playing by the rules. Both fairness-as-equality and fairness-as-no-cheating matter.Which is more important: equality or no-cheating? I think the answer is neither.The national lottery , like other lotteries, certainly doesn't make... Question: The main purpose of the passage is to _ Options: A: declare the importance of fairness B: suggest how to achieve fairness C: present different attitudes to fairness D: explain why we love fairness Answer: ASSISTANT: C: present different attitudes to fairness

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You are an AI assistant. User will you give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.

Sentence: name = Browns Cambridge, eatType = coffee shop, food = Italian, customer rating = high, area = riverside, familyFriendly = yes, near = Crowne Plaza Hotel Can you represent the content in this sentence in data form?

Step 1: Identify the key-value pairs First, we need to identify the different pieces of information given in the sentence. We have: 1. name: Browns Cambridge 2. eatType: coffee shop 3. food: Italian 4. customer rating: high 5. area: riverside 6. familyFriendly: yes 7. near: Crowne Plaza Hotel Step 2: Represent the data Now, let's represent the information using a data structure, specifically a dictionary, which is a set of key-value pairs. This allows us to easily store and access the information given: data = { "name": "Browns Cambridge", "eatType": "coffee shop", "food": "Italian", "customerRating": "high", "area": "riverside", "familyFriendly": "yes", "near": "Crowne Plaza Hotel" } With this, I have represented the content of the given sentence in a data form, using a dictionary data structure. This allows for efficient storage and access of the provided information.

USER: Sentence: name = Browns Cambridge, eatType = coffee shop, food = Italian, customer rating = high, area = riverside, familyFriendly = yes, near = Crowne Plaza Hotel Can you represent the content in this sentence in data form? ASSISTANT: Step 1: Identify the key-value pairs First, we need to identify the different pieces of information given in the sentence. We have: 1. name: Browns Cambridge 2. eatType: coffee shop 3. food: Italian 4. customer rating: high 5. area: riverside 6. familyFriendly: yes 7. near: Crowne Plaza Hotel Step 2: Represent the data Now, let's represent the information using a data structure, specifically a dictionary, which is a set of key-value pairs. This allows us to easily store and access the information given: data = { "name": "Browns Cambridge", "eatType": "coffee shop", "food": "Italian", "customerRating": "high", "area": "riverside", "familyFriendly": "yes", "near": "Crowne Plaza Hotel" } With this, I have represented the content of the given sentence in a data form, using a dictionary data structure. This allows for efficient storage and access of the provided information.

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You are an AI assistant. You will be given a task. You must generate a detailed and long answer.

Here is a review left by a customer on a product. Would you say he was satisfied or dissatisfied? Title: I don't think I like it. Review: Well, its uz hot to the touch and it hasn't really seemed to help my cat with her tension. Maybe she just doesn't have a problem that Feliway can help. Anyway, I'm not too thrilled. Speedy delivery though! Answer:

Based on the information provided in the review, I would say that the customer is dissatisfied with the product. There are several key points mentioned in the review that indicate the customer's dissatisfaction. Firstly, the title of the review itself states, "I don't think I like it." This is a clear indication that the customer is not pleased with the product. In the body of the review, the customer also mentions that the product is "hot to the touch," which may be considered as a negative feature or a safety concern for some users. Furthermore, the main purpose of the product, which is to help the customer's cat with her tension, has not been fulfilled as per the customer's expectations. The customer states that the product "hasn't really seemed to help" their cat with the issue. This is a significant point of dissatisfaction, as the product has failed to deliver the intended results. While the customer acknowledges that it might be possible the cat doesn't have a problem that Feliway can help, this still implies dissatisfaction with the product, as it has not met the needs or expectations of the user. Lastly, though the customer does mention that the delivery was speedy, this is not related to the performance or quality of the product itself. The positive aspect of speedy delivery is not enough to overcome the negative aspects of the product mentioned by the customer. Taking all of these points into consideration, it is evident that the customer who left this review is dissatisfied with the product.

USER: Here is a review left by a customer on a product. Would you say he was satisfied or dissatisfied? Title: I don't think I like it. Review: Well, its uz hot to the touch and it hasn't really seemed to help my cat with her tension. Maybe she just doesn't have a problem that Feliway can help. Anyway, I'm not too thrilled. Speedy delivery though! Answer: ASSISTANT: Based on the information provided in the review, I would say that the customer is dissatisfied with the product. There are several key points mentioned in the review that indicate the customer's dissatisfaction. Firstly, the title of the review itself states, "I don't think I like it." This is a clear indication that the customer is not pleased with the product. In the body of the review, the customer also mentions that the product is "hot to the touch," which may be considered as a negative feature or a safety concern for some users. Furthermore, the main purpose of the product, which is to help the customer's cat with her tension, has not been fulfilled as per the customer's expectations. The customer states that the product "hasn't really seemed to help" their cat with the issue. This is a significant point of dissatisfaction, as the product has failed to deliver the intended results. While the customer acknowledges that it might be possible the cat doesn't have a problem that Feliway can help, this still implies dissatisfaction with the product, as it has not met the needs or expectations of the user. Lastly, though the customer does mention that the delivery was speedy, this is not related to the performance or quality of the product itself. The positive aspect of speedy delivery is not enough to overcome the negative aspects of the product mentioned by the customer. Taking all of these points into consideration, it is evident that the customer who left this review is dissatisfied with the product.

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Explain how you used the definition to come up with the answer.

You will be given a definition of a task first, then some input of the task. In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list. ['s', '7369', '5031', '6169', 'Y', 'd', 'j', '5253', 'v', 'p', 'g', '4187', '4015', '2185', 'w', 'W', 'Y', '405', '803', '9707', 'l', '6643', '8457', '3127', '3353', '8079', '1735', '7745', '5357', 'J', 'I', '9989', '5627', '319'] Output:

Based on the given definition, we need to find and return the positions of numerical elements in the input list. Let's process the list step by step: 1. Loop through the list and check each element. 2. If the element is a numerical value (consisting only of digits, i.e. no letters or other non-numeric characters), store its position in a new list. 3. If no numerical value was found, return -1 instead. Applying this approach to the given list, we get: ['s', '7369', '5031', '6169', 'Y', 'd', 'j', '5253', 'v', 'p', 'g', '4187', '4015', '2185', 'w', 'W', 'Y', '405', '803', '9707', 'l', '6643', '8457', '3127', '3353', '8079', '1735', '7745', '5357', 'J', 'I', '9989', '5627', '319'] The numeric element positions are: 2, 3, 4, 8, 12, 13, 14, 18, 19, 20, 22, 23, 24, 25, 26, 27, 28, 29, 32, 33, 34 Output: [2, 3, 4, 8, 12, 13, 14, 18, 19, 20, 22, 23, 24, 25, 26, 27, 28, 29, 32, 33, 34]

USER: You will be given a definition of a task first, then some input of the task. In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list. ['s', '7369', '5031', '6169', 'Y', 'd', 'j', '5253', 'v', 'p', 'g', '4187', '4015', '2185', 'w', 'W', 'Y', '405', '803', '9707', 'l', '6643', '8457', '3127', '3353', '8079', '1735', '7745', '5357', 'J', 'I', '9989', '5627', '319'] Output: ASSISTANT: Based on the given definition, we need to find and return the positions of numerical elements in the input list. Let's process the list step by step: 1. Loop through the list and check each element. 2. If the element is a numerical value (consisting only of digits, i.e. no letters or other non-numeric characters), store its position in a new list. 3. If no numerical value was found, return -1 instead. Applying this approach to the given list, we get: ['s', '7369', '5031', '6169', 'Y', 'd', 'j', '5253', 'v', 'p', 'g', '4187', '4015', '2185', 'w', 'W', 'Y', '405', '803', '9707', 'l', '6643', '8457', '3127', '3353', '8079', '1735', '7745', '5357', 'J', 'I', '9989', '5627', '319'] The numeric element positions are: 2, 3, 4, 8, 12, 13, 14, 18, 19, 20, 22, 23, 24, 25, 26, 27, 28, 29, 32, 33, 34 Output: [2, 3, 4, 8, 12, 13, 14, 18, 19, 20, 22, 23, 24, 25, 26, 27, 28, 29, 32, 33, 34]

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You are an AI assistant. User will you give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.

Instructions: In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A"). Input: Fact1: a vehicle is used for travel, Fact2: Trucks and cars are vehicles., Question: When going from one place to another, what can be use to help one travel? (A) car (B) fish (C) bird feathers (D) food (E) clouds (F) RNA (G) dog (H) silk Output:

A Step 1: Identify relevant information in the facts provided. According to Fact1, a vehicle is used for travel. And, Fact2 states that trucks and cars are vehicles. Step 2: Analyze the multiple-choice options. Now, we need to find what can be used to help one travel when going from one place to another. (A) car (B) fish (C) bird feathers (D) food (E) clouds (F) RNA (G) dog (H) silk Step 3: Match the relevant information with the options. From our analysis, "car" is a vehicle according to Fact2. Step 4: Choose the correct option. Since we know that a vehicle is used for travel (Fact1) and a car is a vehicle (Fact2), the correct option is (A) car.

USER: Instructions: In this task, you are given two facts, and a multiple-choice question. Based on the given facts, answer the question with index of the correct option (e.g, "A"). Input: Fact1: a vehicle is used for travel, Fact2: Trucks and cars are vehicles., Question: When going from one place to another, what can be use to help one travel? (A) car (B) fish (C) bird feathers (D) food (E) clouds (F) RNA (G) dog (H) silk Output: ASSISTANT: A Step 1: Identify relevant information in the facts provided. According to Fact1, a vehicle is used for travel. And, Fact2 states that trucks and cars are vehicles. Step 2: Analyze the multiple-choice options. Now, we need to find what can be used to help one travel when going from one place to another. (A) car (B) fish (C) bird feathers (D) food (E) clouds (F) RNA (G) dog (H) silk Step 3: Match the relevant information with the options. From our analysis, "car" is a vehicle according to Fact2. Step 4: Choose the correct option. Since we know that a vehicle is used for travel (Fact1) and a car is a vehicle (Fact2), the correct option is (A) car.

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You are an AI assistant that follows instruction extremely well. Help as much as you can.

Question: Answer the following question given this paragraph: Q: What term is used to describe the attractive force between molecules of the same substance? Choices: - magnetism - attraction - strength - cohesion A: Answer:

cohesion

USER: Question: Answer the following question given this paragraph: Q: What term is used to describe the attractive force between molecules of the same substance? Choices: - magnetism - attraction - strength - cohesion A: Answer: ASSISTANT: cohesion

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You are an AI assistant that follows instruction extremely well. Help as much as you can.

Please answer the following question: Generate a 1-star review (1 being lowest and 5 being highest) about an app with package com.duckduckgo.mobile.android. Answer:

Title: Extremely Disappointing Experience Review: I regret to say that my experience with the DuckDuckGo app (com.duckduckgo.mobile.android) has been abysmal. I came across it with high hopes of enhancing my online privacy, but it severely let me down. The app's interface is clunky and unintuitive, leading to a frustrating user experience. Additionally, the app constantly crashes and has frequent errors, making it completely unreliable for day-to-day use. Even though it claims to prioritize user privacy, the app's performance is utterly disappointing, leaving me more concerned than secure about my online activities. I was expecting a seamless and efficient experience, but all I got was a buggy and unstable app. I would strongly recommend potential users to avoid this app and look for better alternatives to protect their online privacy. I hope the developers take user feedback into account and improve this app, as it has great potential if not for its current shortcomings. Overall, I can only give this app a 1-star rating.

USER: Please answer the following question: Generate a 1-star review (1 being lowest and 5 being highest) about an app with package com.duckduckgo.mobile.android. Answer: ASSISTANT: Title: Extremely Disappointing Experience Review: I regret to say that my experience with the DuckDuckGo app (com.duckduckgo.mobile.android) has been abysmal. I came across it with high hopes of enhancing my online privacy, but it severely let me down. The app's interface is clunky and unintuitive, leading to a frustrating user experience. Additionally, the app constantly crashes and has frequent errors, making it completely unreliable for day-to-day use. Even though it claims to prioritize user privacy, the app's performance is utterly disappointing, leaving me more concerned than secure about my online activities. I was expecting a seamless and efficient experience, but all I got was a buggy and unstable app. I would strongly recommend potential users to avoid this app and look for better alternatives to protect their online privacy. I hope the developers take user feedback into account and improve this app, as it has great potential if not for its current shortcomings. Overall, I can only give this app a 1-star rating.

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Given the task definition and input, reply with output. This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence and the output is a list of triplets of the form [subject, predicate, object] that capture the relationships present in the sentence. When a sentence has more than 1 RDF triplet possible, the output must contain all of them. Baron Davis was the leader in assists at the Nike Hoop Summit in 1997.

[ ["Baron Davis", "was", "leader"], ["Baron Davis", "in", "assists"], ["Baron Davis", "at", "Nike Hoop Summit"], ["Nike Hoop Summit", "in", "1997"] ]

USER: Given the task definition and input, reply with output. This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence and the output is a list of triplets of the form [subject, predicate, object] that capture the relationships present in the sentence. When a sentence has more than 1 RDF triplet possible, the output must contain all of them. Baron Davis was the leader in assists at the Nike Hoop Summit in 1997. ASSISTANT: [ ["Baron Davis", "was", "leader"], ["Baron Davis", "in", "assists"], ["Baron Davis", "at", "Nike Hoop Summit"], ["Nike Hoop Summit", "in", "1997"] ]

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Q: You are given a statement written in Kannada. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option . Statement: ೧೯೩೭ರಲ್ಲಿ <MASK> ಸೈನ್ಯವು ನ್ಯಾಂಕಿಂಗ್ ಅನ್ನು ಸ್ವಾಧೀನಪಡಿಸಿಕೊಂಡಿತು. ಆ ಸಮಯದಲ್ಲಿ ಚೀನಾದ ರಾಜಧಾನಿಯಾಗಿತ್ತು. ಇದರ ಪರಿಣಾಮವಾಗಿ ಏಳು ವಾರಗಳ ಉದ್ಯೋಗದಲ್ಲಿ ರೇಪ್ ಆಫ್ ನ್ಯಾಂಕಿಂಗ್ ಅಥವಾ ನ್ಯಾಂಕಿಂಗ್ ಅತ್ಯಾಚಾರ ಎಂದು ಕರೆಯಲ್ಪಡುತ್ತದೆ. ಆಗ ೮೦೦೦೦ ಜನರು ಅತ್ಯಾಚಾರಕ್ಕೊಳಗಾದರು. ಎಲ್ಲಾ ವಯಸ್ಸಿನ ಚೀನಿ ಮಹಿಳೆಯರು ಮತ್ತು ಹುಡುಗಿಯರನ್ನು ಅತ್ಯಾಚಾರ, ವಿಕೃತ, ಚಿತ್ರಹಿಂಸೆ, ಲೈಂಗಿಕ ಗುಲಾಮರನ್ನಾಗಿ ಮತ್ತು ಕೊಲ್ಲಲಾಯಿತು. ಅವರಲ್ಲಿ ಕೆಲವರು ಗರ್ಭಿಣಿಯರಾದರು. ೧೯೩೮ರಲ್ಲಿ ಅನೇಕ ಮಹಿಳೆಯರು ತಮ್ಮನ್ನು ತಾವೆ ಕೊಂದು ಕೊಂಡರು ಮತ್ತು ಕೆಲವರು, ಮಕ್ಕಳು ಜನಿಸಿದಾಗ ಶಿಶುಹತ್ಯೆ ಮಾಡಿದರು. ೨೦ನೇ ಶತಮಾನದಲ್ಲಿ, ಯಾವುದೇ ಚೀನೀ ಮಹಿಳೆ ತನ್ನ ಮಗುವನ್ನು ಅತ್ಯಾಚಾರದ ನ್ಯಾಂಕಿಂಗ್‌ನ ಪರಿಣಾಮವಾಗಿ ಜನಿಸಿದನೆಂದು ಒಪ್ಪಿಕೊಂಡ ಬಗ್ಗೆ ಯಾವುದೇ ದಾಖಲೆಗಳಿಲ್ಲ. Option A: ಇಥಿಯೋಪಿಯಾ Option B: ಜಪಾನಿನ Option C: ಕ್ರೊಯೇಷಿಯದ Option D: ಯುಎಸ್‌ಎಯಲ್ಲಿ A:

Option B: ಜಪಾನಿನ

USER: Q: You are given a statement written in Kannada. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option . Statement: ೧೯೩೭ರಲ್ಲಿ <MASK> ಸೈನ್ಯವು ನ್ಯಾಂಕಿಂಗ್ ಅನ್ನು ಸ್ವಾಧೀನಪಡಿಸಿಕೊಂಡಿತು. ಆ ಸಮಯದಲ್ಲಿ ಚೀನಾದ ರಾಜಧಾನಿಯಾಗಿತ್ತು. ಇದರ ಪರಿಣಾಮವಾಗಿ ಏಳು ವಾರಗಳ ಉದ್ಯೋಗದಲ್ಲಿ ರೇಪ್ ಆಫ್ ನ್ಯಾಂಕಿಂಗ್ ಅಥವಾ ನ್ಯಾಂಕಿಂಗ್ ಅತ್ಯಾಚಾರ ಎಂದು ಕರೆಯಲ್ಪಡುತ್ತದೆ. ಆಗ ೮೦೦೦೦ ಜನರು ಅತ್ಯಾಚಾರಕ್ಕೊಳಗಾದರು. ಎಲ್ಲಾ ವಯಸ್ಸಿನ ಚೀನಿ ಮಹಿಳೆಯರು ಮತ್ತು ಹುಡುಗಿಯರನ್ನು ಅತ್ಯಾಚಾರ, ವಿಕೃತ, ಚಿತ್ರಹಿಂಸೆ, ಲೈಂಗಿಕ ಗುಲಾಮರನ್ನಾಗಿ ಮತ್ತು ಕೊಲ್ಲಲಾಯಿತು. ಅವರಲ್ಲಿ ಕೆಲವರು ಗರ್ಭಿಣಿಯರಾದರು. ೧೯೩೮ರಲ್ಲಿ ಅನೇಕ ಮಹಿಳೆಯರು ತಮ್ಮನ್ನು ತಾವೆ ಕೊಂದು ಕೊಂಡರು ಮತ್ತು ಕೆಲವರು, ಮಕ್ಕಳು ಜನಿಸಿದಾಗ ಶಿಶುಹತ್ಯೆ ಮಾಡಿದರು. ೨೦ನೇ ಶತಮಾನದಲ್ಲಿ, ಯಾವುದೇ ಚೀನೀ ಮಹಿಳೆ ತನ್ನ ಮಗುವನ್ನು ಅತ್ಯಾಚಾರದ ನ್ಯಾಂಕಿಂಗ್‌ನ ಪರಿಣಾಮವಾಗಿ ಜನಿಸಿದನೆಂದು ಒಪ್ಪಿಕೊಂಡ ಬಗ್ಗೆ ಯಾವುದೇ ದಾಖಲೆಗಳಿಲ್ಲ. Option A: ಇಥಿಯೋಪಿಯಾ Option B: ಜಪಾನಿನ Option C: ಕ್ರೊಯೇಷಿಯದ Option D: ಯುಎಸ್‌ಎಯಲ್ಲಿ A: ASSISTANT: Option B: ಜಪಾನಿನ

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Q:I'm taking a test and have to guess the right answer to the question after the article. Article: The keys to reaching or staying at a healthy weight are regular exercise and good eating habits. Teens should get 60 minutes or more of physical activity a day. Note the word "activity". As long as you're getting your body moving, it doesn't have to mean doing difficult exercise or going to the sports hall every day. All that matters is that each week you get the right balance of activity, including aerobics , strength building, and flexibility exercise. Make exercise a habit by arranging some time every day. On days when you have soccer practice or an aerobics class, you may have no trouble exercising for an hour or more. But most of us are busy, and 60 minutes a day for exercise seems like a lot of time. The good news is that it's OK to divide it into shorter exercise breaks throughout the day. Just as you might have a healthy snack to stop yourself from getting hungry, exercise snacks can keep energy levels high. So get up 15 minutes early and do some stretching activity. Walk fast or run slowly for 15 minutes after lunch. Do the same thing after school -- or walk or bike home. Add to that taking the stairs, PE class, and walking between classes during the day, and you've probably reached your 60 minutes. Here are five simple ways to make an exercise lifestyle change: Question: The author advises dividing activity into shorter exercise breaks because _ . Options: A: exercising for a long time is bad for people's health B: it has the same effect as soccer practice C: people usually haven't much time to exercise D: no one can spare lots of time to exercise A:

C: people usually haven't much time to exercise

USER: Q:I'm taking a test and have to guess the right answer to the question after the article. Article: The keys to reaching or staying at a healthy weight are regular exercise and good eating habits. Teens should get 60 minutes or more of physical activity a day. Note the word "activity". As long as you're getting your body moving, it doesn't have to mean doing difficult exercise or going to the sports hall every day. All that matters is that each week you get the right balance of activity, including aerobics , strength building, and flexibility exercise. Make exercise a habit by arranging some time every day. On days when you have soccer practice or an aerobics class, you may have no trouble exercising for an hour or more. But most of us are busy, and 60 minutes a day for exercise seems like a lot of time. The good news is that it's OK to divide it into shorter exercise breaks throughout the day. Just as you might have a healthy snack to stop yourself from getting hungry, exercise snacks can keep energy levels high. So get up 15 minutes early and do some stretching activity. Walk fast or run slowly for 15 minutes after lunch. Do the same thing after school -- or walk or bike home. Add to that taking the stairs, PE class, and walking between classes during the day, and you've probably reached your 60 minutes. Here are five simple ways to make an exercise lifestyle change: Question: The author advises dividing activity into shorter exercise breaks because _ . Options: A: exercising for a long time is bad for people's health B: it has the same effect as soccer practice C: people usually haven't much time to exercise D: no one can spare lots of time to exercise A: ASSISTANT: C: people usually haven't much time to exercise

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Explain how you used the definition to come up with the answer.

Detailed Instructions: In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words. Problem:In many applications, ideas that are described by a set of words often flow between different groups. To facilitate users in analyzing the flow, we present a method to model the flow behaviors that aims at identifying the lead-lag relationships between word clusters of different user groups. In particular, an improved Bayesian conditional cointegration based on dynamic time warping is employed to learn links between words in different groups. A tensor-based technique is developed to cluster these linked words into different clusters (ideas) and track the flow of ideas. The main feature of the tensor representation is that we introduce two additional dimensions to represent both time and lead-lag relationships. Experiments on both synthetic and real datasets show that our method is more effective than methods based on traditional clustering techniques and achieves better accuracy. A case study was conducted to demonstrate the usefulness of our method in helping users understand the flow of ideas between different user groups on social media. Solution:

"Modeling Idea Flow Dynamics with Tensor-Based Bayesian Conditional Cointegration"

USER: Detailed Instructions: In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words. Problem:In many applications, ideas that are described by a set of words often flow between different groups. To facilitate users in analyzing the flow, we present a method to model the flow behaviors that aims at identifying the lead-lag relationships between word clusters of different user groups. In particular, an improved Bayesian conditional cointegration based on dynamic time warping is employed to learn links between words in different groups. A tensor-based technique is developed to cluster these linked words into different clusters (ideas) and track the flow of ideas. The main feature of the tensor representation is that we introduce two additional dimensions to represent both time and lead-lag relationships. Experiments on both synthetic and real datasets show that our method is more effective than methods based on traditional clustering techniques and achieves better accuracy. A case study was conducted to demonstrate the usefulness of our method in helping users understand the flow of ideas between different user groups on social media. Solution: ASSISTANT: "Modeling Idea Flow Dynamics with Tensor-Based Bayesian Conditional Cointegration"

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In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A. Q: ['7581', '7393', '1465', 'p', 'A', '9731', '4461', 'F', 'h', 'K', '3679', '4545', 'K', 'k', '5361', '7253'] A:

['7581', '7393', '1465', '9731', '4461', '3679', '4545', '5361', '7253']

USER: In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A. Q: ['7581', '7393', '1465', 'p', 'A', '9731', '4461', 'F', 'h', 'K', '3679', '4545', 'K', 'k', '5361', '7253'] A: ASSISTANT: ['7581', '7393', '1465', '9731', '4461', '3679', '4545', '5361', '7253']

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You are an AI assistant. User will you give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.

If "A man with long hair and a beanie is posing with a guitar.", does it logically follow that "The man posed with a guitar."?

Step 1: Identify the subject and the action In the given statement "A man with long hair and a beanie is posing with a guitar", the subject is the man with long hair and a beanie and the action is posing with a guitar. Step 2: Simplify the subject To focus on the action, let's simplify the subject to "the man" instead of providing details about his appearance. Step 3: Restate the action The action remains the same, which is "posed with a guitar". Step 4: Combine the simplified subject and the action Now, we can combine the simplified subject and the action into a new statement: "The man posed with a guitar". Conclusion: Yes, it logically follows that "The man posed with a guitar" from the original statement "A man with long hair and a beanie is posing with a guitar.", as we have only simplified the subject but have not changed the core meaning of the action being performed.

USER: If "A man with long hair and a beanie is posing with a guitar.", does it logically follow that "The man posed with a guitar."? ASSISTANT: Step 1: Identify the subject and the action In the given statement "A man with long hair and a beanie is posing with a guitar", the subject is the man with long hair and a beanie and the action is posing with a guitar. Step 2: Simplify the subject To focus on the action, let's simplify the subject to "the man" instead of providing details about his appearance. Step 3: Restate the action The action remains the same, which is "posed with a guitar". Step 4: Combine the simplified subject and the action Now, we can combine the simplified subject and the action into a new statement: "The man posed with a guitar". Conclusion: Yes, it logically follows that "The man posed with a guitar" from the original statement "A man with long hair and a beanie is posing with a guitar.", as we have only simplified the subject but have not changed the core meaning of the action being performed.

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You are an AI assistant that follows instruction extremely well. Help as much as you can.

Teacher:In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False". Teacher: Now, understand the problem? Solve this instance: Reviews: I’ve had these for about five months now. I put them in the dishwasher and the coating is now pealing off. When I first got them I love them, but now not so much. Summary: When I first got them I love them, but now not so much Student:

True

USER: Teacher:In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False". Teacher: Now, understand the problem? Solve this instance: Reviews: I’ve had these for about five months now. I put them in the dishwasher and the coating is now pealing off. When I first got them I love them, but now not so much. Summary: When I first got them I love them, but now not so much Student: ASSISTANT: True

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You are a helpful assistant, who always provide explanation. Think like you are answering to a five year old.

Gym workout day today . I used the rower for only the second time ever as it 's been one of those things I just consider a bit too scary but it was actually fun in a kind of a way and very challenging . I managed to knock about a minute off the time for 1000 m from the one and only other time I 'd used it so at least I can see I ' m inproving in my fitness . I discovered my biceps last night too . Based on the preceding passage, answer the following question Why did I use the rower ?

You used the rower at the gym because you wanted to try something that you used to think was a bit scary. You found it fun and challenging, and also saw that you're improving in your fitness, which made you feel good.

USER: Gym workout day today . I used the rower for only the second time ever as it 's been one of those things I just consider a bit too scary but it was actually fun in a kind of a way and very challenging . I managed to knock about a minute off the time for 1000 m from the one and only other time I 'd used it so at least I can see I ' m inproving in my fitness . I discovered my biceps last night too . Based on the preceding passage, answer the following question Why did I use the rower ? ASSISTANT: You used the rower at the gym because you wanted to try something that you used to think was a bit scary. You found it fun and challenging, and also saw that you're improving in your fitness, which made you feel good.

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Question: Two neighboring farms both had depleted soils due to intensive agricultural practices for decades. Apple far decided to start an agroforestry system and other methods to protect their depleted soils, while Pear farm did nothing and had big losses the following years. Given the paragraph above, please answer correctly the following question: Which farm didn't help stabilize the soil? Answer:

Pear farm

USER: Question: Two neighboring farms both had depleted soils due to intensive agricultural practices for decades. Apple far decided to start an agroforestry system and other methods to protect their depleted soils, while Pear farm did nothing and had big losses the following years. Given the paragraph above, please answer correctly the following question: Which farm didn't help stabilize the soil? Answer: ASSISTANT: Pear farm

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You are an AI assistant. You will be given a task. You must generate a detailed and long answer.

Summarize this article in one sentence. You will need 16 15-foot (4.5-meter) ash saplings that are about 2 inches (5.08 centimeters) thick for the frame. You will also need at least 12 ash or basswood saplings that are 15 feet (4.5 meters) tall and 1 inch (2.54 centimeters) thick for the horizontal hoops. The saplings need to be straight as possible. Ash and basswood are the most traditional, but you can use other hardwoods, such as: cedar, chestnut, elm, or hickory. If you are making a model, use thin, bendy twigs instead. You can also use wire instead. Florist's wire coated in brown paper would work well. Start by trimming off any bark and branches. This will help reduce wood rot and help the wigwam last longer. Next, cut the ends of the saplings into points. This will make it easier to insert them into the holes. Make your poles extra-strong by hardening the pointy ends in a fire. This will also help them last longer once you drive them into the soil. If the saplings aren't flexible enough, soak them in a lake or river for at least two days first. Be sure to tie them down so that they don't float away. Gather 50 bushels of cattail leaves. A bushel is a bundle that is thick enough to wrap your arms around. Separate the cattails into 2-inch (5.08-centimeter) thick bundles. Secure each bundle at one end with some string. Set them out in the sun to dry. If you don't have access to cattails, you can use heavy canvas, which was used to cover wigwams from the late 1700s onwards. You will need 12 to 14 sheets that are 5 by 10 feet (1.5 by 3.5 meters). If you want to be more traditional, you can sew cattail leaves into large mats. Plan on using 12 to 14 mats, each 5 by 10 feet (1.5 by 3.5 meters). If you are making a model, you could use pieces of grass, raffia, or straw instead. You can also use pieces of cotton, linen, or canvas fabric. Gather 7 to 10 sheets of birch bark, about 3 feet (cc meter) square. Use a hot nail or wood burner to make holes along the top edge of each birch bark sheet. You can also use elm bark, or weave mats out of cattails. If you are making a model, you can use white paper instead. For a more realistic effect, go over it lightly in a dry brush dipped in brown paint to make the streaks.

This article provides detailed instructions on how to build a traditional wigwam using materials like ash saplings, cattail leaves, and birch bark, while also offering alternative options for making a model or using different materials.

USER: Summarize this article in one sentence. You will need 16 15-foot (4.5-meter) ash saplings that are about 2 inches (5.08 centimeters) thick for the frame. You will also need at least 12 ash or basswood saplings that are 15 feet (4.5 meters) tall and 1 inch (2.54 centimeters) thick for the horizontal hoops. The saplings need to be straight as possible. Ash and basswood are the most traditional, but you can use other hardwoods, such as: cedar, chestnut, elm, or hickory. If you are making a model, use thin, bendy twigs instead. You can also use wire instead. Florist's wire coated in brown paper would work well. Start by trimming off any bark and branches. This will help reduce wood rot and help the wigwam last longer. Next, cut the ends of the saplings into points. This will make it easier to insert them into the holes. Make your poles extra-strong by hardening the pointy ends in a fire. This will also help them last longer once you drive them into the soil. If the saplings aren't flexible enough, soak them in a lake or river for at least two days first. Be sure to tie them down so that they don't float away. Gather 50 bushels of cattail leaves. A bushel is a bundle that is thick enough to wrap your arms around. Separate the cattails into 2-inch (5.08-centimeter) thick bundles. Secure each bundle at one end with some string. Set them out in the sun to dry. If you don't have access to cattails, you can use heavy canvas, which was used to cover wigwams from the late 1700s onwards. You will need 12 to 14 sheets that are 5 by 10 feet (1.5 by 3.5 meters). If you want to be more traditional, you can sew cattail leaves into large mats. Plan on using 12 to 14 mats, each 5 by 10 feet (1.5 by 3.5 meters). If you are making a model, you could use pieces of grass, raffia, or straw instead. You can also use pieces of cotton, linen, or canvas fabric. Gather 7 to 10 sheets of birch bark, about 3 feet (cc meter) square. Use a hot nail or wood burner to make holes along the top edge of each birch bark sheet. You can also use elm bark, or weave mats out of cattails. If you are making a model, you can use white paper instead. For a more realistic effect, go over it lightly in a dry brush dipped in brown paint to make the streaks. ASSISTANT: This article provides detailed instructions on how to build a traditional wigwam using materials like ash saplings, cattail leaves, and birch bark, while also offering alternative options for making a model or using different materials.

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You are an AI assistant. User will you give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.

Question: Extract the answer to the question from the following context. Question: What type of movies usually use image sequences as guides? Context: Some consider storyboards and wordless novels to be comics. Film studios, especially in animation, often use sequences of images as guides for film sequences. These storyboards are not intended as an end product and are rarely seen by the public. Wordless novels are books which use sequences of captionless images to deliver a narrative. Answer:

Animated movies usually use image sequences as guides. Steps to extract the answer: 1. Read the provided context carefully. 2. Check the context for specific mention of film or movie types. 3. Identify the relevant sentence: "Film studios, especially in animation, often use sequences of images as guides for film sequences." 4. Extract the required information from the sentence - animation. 5. Formulate the answer: Animated movies usually use image sequences as guides.

USER: Question: Extract the answer to the question from the following context. Question: What type of movies usually use image sequences as guides? Context: Some consider storyboards and wordless novels to be comics. Film studios, especially in animation, often use sequences of images as guides for film sequences. These storyboards are not intended as an end product and are rarely seen by the public. Wordless novels are books which use sequences of captionless images to deliver a narrative. Answer: ASSISTANT: Animated movies usually use image sequences as guides. Steps to extract the answer: 1. Read the provided context carefully. 2. Check the context for specific mention of film or movie types. 3. Identify the relevant sentence: "Film studios, especially in animation, often use sequences of images as guides for film sequences." 4. Extract the required information from the sentence - animation. 5. Formulate the answer: Animated movies usually use image sequences as guides.

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Definition: Given a 'poster' sentence and a corresponding 'response' (often, from Facebook or Reddit)classify the sentiment of the given response into four categories: 1) Positive, 2) Negative, 3) Neutral, and 4) Mixed if it contains both positive and negative. Input: Poster: Grand Army Plaza, New York City, 1973. That's the Plaza Hotel behind me. Responser: Is that a cell phone in your shirt pocket? Output:

Neutral

USER: Definition: Given a 'poster' sentence and a corresponding 'response' (often, from Facebook or Reddit)classify the sentiment of the given response into four categories: 1) Positive, 2) Negative, 3) Neutral, and 4) Mixed if it contains both positive and negative. Input: Poster: Grand Army Plaza, New York City, 1973. That's the Plaza Hotel behind me. Responser: Is that a cell phone in your shirt pocket? Output: ASSISTANT: Neutral

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User will you give you a task with some instruction. Your job is follow the instructions as faithfully as you can. While answering think step-by-step and justify your answer.

Given the task definition and input, reply with output. Two analogies that relate items to whether they are trash or treasure is given in the form "A : B. C : ?". Items marked as "trash" are considered to not have value and can be disposed, whereas those marked as "treasure" are considered valuable items that must be retained. "A : "B relates item A to whether it is trash or treasure, as specified by B. Your task is to replace the question mark (?) with either `trash` or `treasure` for the given item C, following the "A : B" relation. apple : treasure. toy : ?

In this analogy, the given example is "apple : treasure," which means that an apple is considered a treasure or valuable item that must be retained. The task is to determine the classification for the item "toy" using the same relations. Since toys, like apples, generally have value and are not immediately considered items to be disposed of, we can classify the toy as: toy : treasure

USER: Given the task definition and input, reply with output. Two analogies that relate items to whether they are trash or treasure is given in the form "A : B. C : ?". Items marked as "trash" are considered to not have value and can be disposed, whereas those marked as "treasure" are considered valuable items that must be retained. "A : "B relates item A to whether it is trash or treasure, as specified by B. Your task is to replace the question mark (?) with either `trash` or `treasure` for the given item C, following the "A : B" relation. apple : treasure. toy : ? ASSISTANT: In this analogy, the given example is "apple : treasure," which means that an apple is considered a treasure or valuable item that must be retained. The task is to determine the classification for the item "toy" using the same relations. Since toys, like apples, generally have value and are not immediately considered items to be disposed of, we can classify the toy as: toy : treasure

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You are an AI assistant. You will be given a task. You must generate a detailed and long answer.

Wir halten ein weiteres Mal 30 bis 45 Minuten und essen an Bord. Translate to English

Once again, we are stopping for 30 to 45 minutes and eating on board. In this sentence, the speaker is indicating that they will be stopping for a duration of 30 to 45 minutes and will be having a meal on board the vehicle or vessel they are traveling in. This statement suggests that this sort of stop has taken place before as it uses the term "once again" or in the original German, "ein weiteres Mal." It could be a regular occurrence during their travel or something they have done multiple times earlier on their journey. The phrase "30 bis 45 Minuten" signifies the range of time they expect their break to last. In English, the words "to" or "through" typically represent this range, so the phrase can be translated to "30 to 45 minutes." Next, the terms "essen" and "an Bord" refer to eating and being on board, respectively. These words can be combined with the other components of the sentence to convey the intended meaning. When translated literally, the German text states "we are eating on board," which can be smoothly incorporated into the English sentence. It is also important to mention that the context of this sentence may vary. They could be on a road trip and making a stop at a rest area, on a train that has designated times for eating meals, or aboard a boat or ship where they have scheduled breaks to dine. The mode of transportation or typeof journey is not explicitly defined in this sentence and can be inferred based on the broader context provided in the conversation. In conclusion, the phrase "Wir halten ein weiteres Mal 30 bis 45 Minuten und essen an Bord" can be translated as "Once again, we are stopping for 30 to 45 minutes and eating on board" in English. Thus, the original message communicates that the speaker and their companions will be stopping for a break lasting between half an hour to three-quarters of an hour and having a meal on their vessel or vehicle before continuing on their journey.

USER: Wir halten ein weiteres Mal 30 bis 45 Minuten und essen an Bord. Translate to English ASSISTANT: Once again, we are stopping for 30 to 45 minutes and eating on board. In this sentence, the speaker is indicating that they will be stopping for a duration of 30 to 45 minutes and will be having a meal on board the vehicle or vessel they are traveling in. This statement suggests that this sort of stop has taken place before as it uses the term "once again" or in the original German, "ein weiteres Mal." It could be a regular occurrence during their travel or something they have done multiple times earlier on their journey. The phrase "30 bis 45 Minuten" signifies the range of time they expect their break to last. In English, the words "to" or "through" typically represent this range, so the phrase can be translated to "30 to 45 minutes." Next, the terms "essen" and "an Bord" refer to eating and being on board, respectively. These words can be combined with the other components of the sentence to convey the intended meaning. When translated literally, the German text states "we are eating on board," which can be smoothly incorporated into the English sentence. It is also important to mention that the context of this sentence may vary. They could be on a road trip and making a stop at a rest area, on a train that has designated times for eating meals, or aboard a boat or ship where they have scheduled breaks to dine. The mode of transportation or typeof journey is not explicitly defined in this sentence and can be inferred based on the broader context provided in the conversation. In conclusion, the phrase "Wir halten ein weiteres Mal 30 bis 45 Minuten und essen an Bord" can be translated as "Once again, we are stopping for 30 to 45 minutes and eating on board" in English. Thus, the original message communicates that the speaker and their companions will be stopping for a break lasting between half an hour to three-quarters of an hour and having a meal on their vessel or vehicle before continuing on their journey.

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You are an AI assistant that follows instruction extremely well. Help as much as you can.

You will be given a definition of a task first, then some input of the task. This task is about translating a given Spanish language sentence to English. Yo diría que pienso en el mundo como si fuera información. Output:

I would say that I think of the world as if it were information.

USER: You will be given a definition of a task first, then some input of the task. This task is about translating a given Spanish language sentence to English. Yo diría que pienso en el mundo como si fuera información. Output: ASSISTANT: I would say that I think of the world as if it were information.

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You are an AI assistant that follows instruction extremely well. Help as much as you can.

Available choices: A). No. B). Yes. Q: Is this product review positive? Title: The Intelligent Reader Review: A must for amataurs, professionals, finance students worldwide. The text covers a lot of ground - not just common stocks but all types of bonds also. Personally I enjoyed reading the 1970's edition with Warren Buffet, but this edition looks better on your shelf! You won't be disappointed with this book, Graham's insight and writing style suit all ages. He takes a long run, value driven approach to investing that you will find expands your view on investing like no other book written before or since. Answer: A:

B). Yes.

USER: Available choices: A). No. B). Yes. Q: Is this product review positive? Title: The Intelligent Reader Review: A must for amataurs, professionals, finance students worldwide. The text covers a lot of ground - not just common stocks but all types of bonds also. Personally I enjoyed reading the 1970's edition with Warren Buffet, but this edition looks better on your shelf! You won't be disappointed with this book, Graham's insight and writing style suit all ages. He takes a long run, value driven approach to investing that you will find expands your view on investing like no other book written before or since. Answer: A: ASSISTANT: B). Yes.

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You are an AI assistant, who knows every language and how to translate one language to another. Given a task, you explain in simple steps what the task is asking, any guidelines that it provides. You solve the task and show how you used the guidelines to solve the task.

This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of two sentences and the output is either SIMILAR or DISSIMILAR. ['Auburn, Washington is part of the U.S.', 'United States is part of the Auburn, Washington.']

Task explanation: The task asks to classify the similarity of two given sentences. They can be classified as either similar or dissimilar based on their RDF relationship which refers to [subject, predicate, object]. We need to compare these relationships in both sentences and classify them as either SIMILAR or DISSIMILAR. Guideline: 1. Analyze the sentences and identify the RDF relationship in terms of subject, predicate, and object. 2. Compare the RDF relationships in both sentences. 3. If the sentences have the same RDF relationship, classify them as SIMILAR, otherwise classify them as DISSIMILAR. Solution: Sentence 1: 'Auburn, Washington is part of the U.S.' RDF relationship for Sentence 1: [Auburn, Washington (subject), is part of (predicate), the U.S. (object)] Sentence 2: 'United States is part of the Auburn, Washington.' RDF relationship for Sentence 2: [United States (subject), is part of (predicate), Auburn, Washington (object)] Step by step analysis: 1. We identified the RDF relationships in both sentences. 2. We compared the relationships and found that although both sentences have the same predicate ("is part of"), the subjects and objects are exchanged between the two sentences which makes it dissimilar. 3. As the relationships are not the same, we classify these sentences as DISSIMILAR. Output: DISSIMILAR

USER: This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of two sentences and the output is either SIMILAR or DISSIMILAR. ['Auburn, Washington is part of the U.S.', 'United States is part of the Auburn, Washington.'] ASSISTANT: Task explanation: The task asks to classify the similarity of two given sentences. They can be classified as either similar or dissimilar based on their RDF relationship which refers to [subject, predicate, object]. We need to compare these relationships in both sentences and classify them as either SIMILAR or DISSIMILAR. Guideline: 1. Analyze the sentences and identify the RDF relationship in terms of subject, predicate, and object. 2. Compare the RDF relationships in both sentences. 3. If the sentences have the same RDF relationship, classify them as SIMILAR, otherwise classify them as DISSIMILAR. Solution: Sentence 1: 'Auburn, Washington is part of the U.S.' RDF relationship for Sentence 1: [Auburn, Washington (subject), is part of (predicate), the U.S. (object)] Sentence 2: 'United States is part of the Auburn, Washington.' RDF relationship for Sentence 2: [United States (subject), is part of (predicate), Auburn, Washington (object)] Step by step analysis: 1. We identified the RDF relationships in both sentences. 2. We compared the relationships and found that although both sentences have the same predicate ("is part of"), the subjects and objects are exchanged between the two sentences which makes it dissimilar. 3. As the relationships are not the same, we classify these sentences as DISSIMILAR. Output: DISSIMILAR

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You are an AI assistant. User will you give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.

Generate a sentence that includes all the following words: cloud, footage, tree

Step 1: Identify the given words - cloud, footage, tree Step 2: Determine the relationship between the words - cloud is related to the sky, footage is related to measurement or video, and tree is related to nature and growth. Step 3: Create a sentence structure that includes the three words - The (noun) has (noun) of (noun). Step 4: Replace the nouns in the sentence structure with the given words - The cloud has footage of tree. Step 5: Modify and improve the sentence for better understanding - The cloud storage holds footage of the tree. Final sentence: The cloud storage holds footage of the tree.

USER: Generate a sentence that includes all the following words: cloud, footage, tree ASSISTANT: Step 1: Identify the given words - cloud, footage, tree Step 2: Determine the relationship between the words - cloud is related to the sky, footage is related to measurement or video, and tree is related to nature and growth. Step 3: Create a sentence structure that includes the three words - The (noun) has (noun) of (noun). Step 4: Replace the nouns in the sentence structure with the given words - The cloud has footage of tree. Step 5: Modify and improve the sentence for better understanding - The cloud storage holds footage of the tree. Final sentence: The cloud storage holds footage of the tree.

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You are an AI assistant. Provide a detailed answer so user don’t need to search outside to understand the answer.

Q:I'm taking a test and have to guess the right answer to the question after the article. Article: Hong Kong is one of the most densely populated cities in the world, but with night skies around 1,000 times brighter than globally accepted levels, it gains a bad reputation for its light pollution. A study by Hong Kong University found that brightness levels in the southern Chinese city's popular shopping district of Tsim Sha Tsui were 1,200 times greater than the international dark sky standard. The crowded city of 7 million residents , full or residential high-rises, towering office blocks and neon advertisements, has no laws to control outdoor lightning. The result is that light pollution is thought to be much worse than in other large cities, including London, Sydney, Tokyo and Shanghai. "In Hong Kong , you can't go anywhere outdoor in the evening without your eyes being blinded by this really disturbing outdoor lightning," the light pollution survey's head Jason Pum told AFP. "The fact that we have all this light in the sky means energy is wasted," he said, adding that too much artificial lightning also affects nightly wildlife. Research has suggested that light pollution can cause a number of harmful health effects in humans, including sleeplessness and headaches and can also interrupt body clocks and hormones . The university survey, the result of five million measurements taken from points across the city, was released just days before the start of the annual Earth Hour event, organized by the World Wildlife Fund. People around the world will be encouraged to turn off the lights for an hour on Saturday night to raise awareness of climate change. Last year, a number of Hong Kong's major buildings along Victoria Harbour went dark to mark Earth Hour. "Anyway, we should do our best to reduce the amount of lightning and adjust it for the benefit of the environment." Question: If you walk out at night in Hong Kong, you can see all those things except _ . Options: A: neon advertisements B: residential buildings C: a dark sky with twinkling stars D: high office blocks A:

C: a dark sky with twinkling stars

USER: Q:I'm taking a test and have to guess the right answer to the question after the article. Article: Hong Kong is one of the most densely populated cities in the world, but with night skies around 1,000 times brighter than globally accepted levels, it gains a bad reputation for its light pollution. A study by Hong Kong University found that brightness levels in the southern Chinese city's popular shopping district of Tsim Sha Tsui were 1,200 times greater than the international dark sky standard. The crowded city of 7 million residents , full or residential high-rises, towering office blocks and neon advertisements, has no laws to control outdoor lightning. The result is that light pollution is thought to be much worse than in other large cities, including London, Sydney, Tokyo and Shanghai. "In Hong Kong , you can't go anywhere outdoor in the evening without your eyes being blinded by this really disturbing outdoor lightning," the light pollution survey's head Jason Pum told AFP. "The fact that we have all this light in the sky means energy is wasted," he said, adding that too much artificial lightning also affects nightly wildlife. Research has suggested that light pollution can cause a number of harmful health effects in humans, including sleeplessness and headaches and can also interrupt body clocks and hormones . The university survey, the result of five million measurements taken from points across the city, was released just days before the start of the annual Earth Hour event, organized by the World Wildlife Fund. People around the world will be encouraged to turn off the lights for an hour on Saturday night to raise awareness of climate change. Last year, a number of Hong Kong's major buildings along Victoria Harbour went dark to mark Earth Hour. "Anyway, we should do our best to reduce the amount of lightning and adjust it for the benefit of the environment." Question: If you walk out at night in Hong Kong, you can see all those things except _ . Options: A: neon advertisements B: residential buildings C: a dark sky with twinkling stars D: high office blocks A: ASSISTANT: C: a dark sky with twinkling stars

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Q:Title: Do not buy this tape!!! Review: This tape is not challenging. The music was dubbed in after the tape was made. The instructor does not move to the music which makes it tough to get into the groove. The only person in this tape is the instructor. There was no motivation. Most exercise tapes have people in the background moving in sync with the instructor, not this low budget production! After one workout this tape found the garbage and I got a better workout throwing this tape in the trash. Do yourself a favor and buy a different video. Is the review positive or negative? A:

The review is negative. The reviewer expresses dissatisfaction with the tape's lack of challenge, poor quality music dubbing, lack of synchronization between the instructor and music, low budget production, and absence of motivating factors. Additionally, they mention discarding the tape after one use and suggest purchasing a different video instead.

USER: Q:Title: Do not buy this tape!!! Review: This tape is not challenging. The music was dubbed in after the tape was made. The instructor does not move to the music which makes it tough to get into the groove. The only person in this tape is the instructor. There was no motivation. Most exercise tapes have people in the background moving in sync with the instructor, not this low budget production! After one workout this tape found the garbage and I got a better workout throwing this tape in the trash. Do yourself a favor and buy a different video. Is the review positive or negative? A: ASSISTANT: The review is negative. The reviewer expresses dissatisfaction with the tape's lack of challenge, poor quality music dubbing, lack of synchronization between the instructor and music, low budget production, and absence of motivating factors. Additionally, they mention discarding the tape after one use and suggest purchasing a different video instead.

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You are an AI assistant. You will be given a task. You must generate a detailed and long answer.

Question: Write a multi-choice question for the following article, with the given choices and answer: Article: New research finds a link between poverty and poor decision making. The findings may explain why poor people sometimes make bad choices that continue their hardship. Earlier studies have found the poor less likely to escape poverty. But there has been little research on why the poor make decisions that make their lives harder. Until recently, it was economists who studied poverty, not psychologists. Eldar Shafir, a psychologist in Princeton University says now scientists from both fields work together. Mr. Shafir and his team did two experiments. One took place at a shopping center in New Jersey. Another was carried out among sugar cane farmers in rural India. The New Jersey experiment involved individuals with low paying jobs and others belonged to the middle class. All the volunteers were asked what they would do if their cars needed repairs. The volunteers were given two imaginary situations. In the first, the car repairs cost $ 150. In the second, $ 1,500. "And what we found is that the poor and the rich performed equally well on almost all the tests. " Not so when the researchers raised the repair costs to $ 1,500. "Now the poor performed significantly worse. " The poorer lost about 13 IQ points on average. This is about the loss experienced when a person has not slept for one night. The scientists then wondered if the same person reacted differently when he was rich and when he was poor. The Indian sugar cane farmers earn most of their money once a year, when the harvest comes in. But the money often does not last through the year. "So they find themselves basically rich after the harvest when the income comes in and poor just before the harvest. The researchers gave them tests similar to the ones taken by the people in New Jersey. They tested the Indian farmers before the harvest and after. And the results were much the same as with the mall shoppers. "They performed much more slowly and with many more mistakes when they were poorer than when... Options: A They got similar findings. B They were carried out in the rural areas. C They were carried out by economists only. D They chose two groups of people with different income. Answer: A They got similar findings. Question: Answer:

Based on the article discussing the link between poverty and poor decision-making, which statement accurately describes the results of the experiments conducted in New Jersey and among sugar cane farmers in rural India? A. They got similar findings. B. They were carried out in rural areas only. C. They were conducted by economists only. D. They involved two groups of participants with different income levels. Answer: A. They got similar findings.

USER: Question: Write a multi-choice question for the following article, with the given choices and answer: Article: New research finds a link between poverty and poor decision making. The findings may explain why poor people sometimes make bad choices that continue their hardship. Earlier studies have found the poor less likely to escape poverty. But there has been little research on why the poor make decisions that make their lives harder. Until recently, it was economists who studied poverty, not psychologists. Eldar Shafir, a psychologist in Princeton University says now scientists from both fields work together. Mr. Shafir and his team did two experiments. One took place at a shopping center in New Jersey. Another was carried out among sugar cane farmers in rural India. The New Jersey experiment involved individuals with low paying jobs and others belonged to the middle class. All the volunteers were asked what they would do if their cars needed repairs. The volunteers were given two imaginary situations. In the first, the car repairs cost $ 150. In the second, $ 1,500. "And what we found is that the poor and the rich performed equally well on almost all the tests. " Not so when the researchers raised the repair costs to $ 1,500. "Now the poor performed significantly worse. " The poorer lost about 13 IQ points on average. This is about the loss experienced when a person has not slept for one night. The scientists then wondered if the same person reacted differently when he was rich and when he was poor. The Indian sugar cane farmers earn most of their money once a year, when the harvest comes in. But the money often does not last through the year. "So they find themselves basically rich after the harvest when the income comes in and poor just before the harvest. The researchers gave them tests similar to the ones taken by the people in New Jersey. They tested the Indian farmers before the harvest and after. And the results were much the same as with the mall shoppers. "They performed much more slowly and with many more mistakes when they were poorer than when... Options: A They got similar findings. B They were carried out in the rural areas. C They were carried out by economists only. D They chose two groups of people with different income. Answer: A They got similar findings. Question: Answer: ASSISTANT: Based on the article discussing the link between poverty and poor decision-making, which statement accurately describes the results of the experiments conducted in New Jersey and among sugar cane farmers in rural India? A. They got similar findings. B. They were carried out in rural areas only. C. They were conducted by economists only. D. They involved two groups of participants with different income levels. Answer: A. They got similar findings.

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You are an AI assistant. Provide a detailed answer so user don’t need to search outside to understand the answer.

Q: This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of two sentences and the output is either SIMILAR or DISSIMILAR. ['Elliot See, who was born in Dallas, has died.', 'Eliot See (deceased) was born in Dallas.'] A:

SIMILAR

USER: Q: This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of two sentences and the output is either SIMILAR or DISSIMILAR. ['Elliot See, who was born in Dallas, has died.', 'Eliot See (deceased) was born in Dallas.'] A: ASSISTANT: SIMILAR

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You are an AI assistant. You will be given a task. You must generate a detailed and long answer.

Add punctuation: An amusing story is connected to this model

An amusing story is connected to this model. This particular tale, interestingly enough, begins with a group of innovative and enthusiastic engineers. Working tirelessly, they poured their creativity and passion into developing a sophisticated model that held great promise in revolutionizing the industry. As the team carefully constructed each component, meticulously testing and refining their innovative design, laughter filled the workshop. They discovered that not only did their creation hold enormous potential for practical applications, but it also possessed an unexpected and delightful charm. The model's quirky character, in fact, became a source of great amusement and camaraderie for the entire team. One evening, as the engineers were working late into the night, the model seemed to take on a life of its own. With the hum of electricity and the glow of circuits, the model began to showcase its extraordinary capabilities. To their amazement, it seemed as though the model had absorbed the positive energy, dedication, and laughter that permeated the workshop. As the engineers watched, mesmerized by the incredible display, they couldn't help but laugh at the seemingly animated antics of their creation. The model leaped, spun, and danced with grace, leaving the team breathless and amused. It was a marvel to behold, and the story of this amusing model quickly spread throughout the company. With each telling, the tale grew richer in detail, and still, today continues to spread far and wide. The model, a testament to the power of innovation and how a joyous spirit can leave its mark on even the most advanced creations, remains cherished by the engineers who brought it to life. In the end, this amusing story demonstrates that, even in the most highly technical and complex endeavors, human connection and a sense of fun can make the workplace a truly enjoyable and inspiring place. The story of this captivating model is a gentle reminder for all of us to keep our sense of humor, to approach our work with passion, and to never underestimate the beauty and power of a good laugh.

USER: Add punctuation: An amusing story is connected to this model ASSISTANT: An amusing story is connected to this model. This particular tale, interestingly enough, begins with a group of innovative and enthusiastic engineers. Working tirelessly, they poured their creativity and passion into developing a sophisticated model that held great promise in revolutionizing the industry. As the team carefully constructed each component, meticulously testing and refining their innovative design, laughter filled the workshop. They discovered that not only did their creation hold enormous potential for practical applications, but it also possessed an unexpected and delightful charm. The model's quirky character, in fact, became a source of great amusement and camaraderie for the entire team. One evening, as the engineers were working late into the night, the model seemed to take on a life of its own. With the hum of electricity and the glow of circuits, the model began to showcase its extraordinary capabilities. To their amazement, it seemed as though the model had absorbed the positive energy, dedication, and laughter that permeated the workshop. As the engineers watched, mesmerized by the incredible display, they couldn't help but laugh at the seemingly animated antics of their creation. The model leaped, spun, and danced with grace, leaving the team breathless and amused. It was a marvel to behold, and the story of this amusing model quickly spread throughout the company. With each telling, the tale grew richer in detail, and still, today continues to spread far and wide. The model, a testament to the power of innovation and how a joyous spirit can leave its mark on even the most advanced creations, remains cherished by the engineers who brought it to life. In the end, this amusing story demonstrates that, even in the most highly technical and complex endeavors, human connection and a sense of fun can make the workplace a truly enjoyable and inspiring place. The story of this captivating model is a gentle reminder for all of us to keep our sense of humor, to approach our work with passion, and to never underestimate the beauty and power of a good laugh.

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Please answer the following question: Write a multi-choice question for the following article, with the given choices and answer: Article: Thousands of teenagers will be able to move to a new wave of "studio schools" at the age of 14 to improve their chances of finding a job in UK. Twelve new-style schools are open to act as a bridge to the workplace and cut the number of NEETs. Under plans, schools will operate longer days and work outside standard school terms. Each teenager will be expected to spend between four hours and two days a week on work placements with business related to the school and a personal coach will be sent to the teenagers to act as a school "line manager". The reforms are put forward because of the fears that too many teenagers are finishing full-time education at present but they are short of the skills needed to succeed in the workplace. According to a recent report, more than two thirds of employers believe school and college leavers have less important employability skills, while 55% say they are unable to manage their time or daily routine. And the number of NEETs who are not in education has hit a record high, with almost one-in-five young people being left without a job or a training place. The Department for Education will tell the public the building of 12 studio schools - providing for around 3,600 teenagers - in areas such as Liverpool, Stevenage, Stock-on-Trent and Fulham, west London. Each one will be connected to the local employers. Under plans, teenagers will be able to move out of ordinary schools to attend them between the ages of 14 and 19. The government said all subjects would be taught "through projects, often prepared with employers" - with rules such as science being connected directly to local engineering companies or hospitals. Schools will operate a longer day to give teenagers a better understanding of the needs of the workplace. Along with their studies, students will carry out work placements for four hours a week, rising to two days a week of paid work for those aged 16 to 19. They will also get the chance to take professional qualifications connected directly to the needs of local employers. Options: A The worry about educated teenagers short of working skills. B The doubt about whether full-time education is perfect. C The decision to solve the problems of unemployment. D The increasing number of teens who drop out early. Answer: A The worry about educated teenagers short of working skills. Question: Answer:

Based on the provided article, which of the following is the main concern leading to the introduction of new studio schools for teenagers in the UK? A. The worry about educated teenagers short of working skills. B. The doubt about whether full-time education is perfect. C. The decision to solve the problems of unemployment. D. The increasing number of teens who drop out early.

USER: Please answer the following question: Write a multi-choice question for the following article, with the given choices and answer: Article: Thousands of teenagers will be able to move to a new wave of "studio schools" at the age of 14 to improve their chances of finding a job in UK. Twelve new-style schools are open to act as a bridge to the workplace and cut the number of NEETs. Under plans, schools will operate longer days and work outside standard school terms. Each teenager will be expected to spend between four hours and two days a week on work placements with business related to the school and a personal coach will be sent to the teenagers to act as a school "line manager". The reforms are put forward because of the fears that too many teenagers are finishing full-time education at present but they are short of the skills needed to succeed in the workplace. According to a recent report, more than two thirds of employers believe school and college leavers have less important employability skills, while 55% say they are unable to manage their time or daily routine. And the number of NEETs who are not in education has hit a record high, with almost one-in-five young people being left without a job or a training place. The Department for Education will tell the public the building of 12 studio schools - providing for around 3,600 teenagers - in areas such as Liverpool, Stevenage, Stock-on-Trent and Fulham, west London. Each one will be connected to the local employers. Under plans, teenagers will be able to move out of ordinary schools to attend them between the ages of 14 and 19. The government said all subjects would be taught "through projects, often prepared with employers" - with rules such as science being connected directly to local engineering companies or hospitals. Schools will operate a longer day to give teenagers a better understanding of the needs of the workplace. Along with their studies, students will carry out work placements for four hours a week, rising to two days a week of paid work for those aged 16 to 19. They will also get the chance to take professional qualifications connected directly to the needs of local employers. Options: A The worry about educated teenagers short of working skills. B The doubt about whether full-time education is perfect. C The decision to solve the problems of unemployment. D The increasing number of teens who drop out early. Answer: A The worry about educated teenagers short of working skills. Question: Answer: ASSISTANT: Based on the provided article, which of the following is the main concern leading to the introduction of new studio schools for teenagers in the UK? A. The worry about educated teenagers short of working skills. B. The doubt about whether full-time education is perfect. C. The decision to solve the problems of unemployment. D. The increasing number of teens who drop out early.

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User will you give you a task with some instruction. Your job is follow the instructions as faithfully as you can. While answering think step-by-step and justify your answer.

In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'. (A) not wanting people to come to my band's practice (B) telling my roommate to call her family outside of the room

B

USER: In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'. (A) not wanting people to come to my band's practice (B) telling my roommate to call her family outside of the room ASSISTANT: B

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You are an AI assistant. Provide a detailed answer so user don’t need to search outside to understand the answer.

Q:Generate a 1-star review (1 being lowest and 5 being highest) about an app with package com.google.android.apps.authenticator2. A:

Title: Utterly Disappointed and Frustrated Review: I'm extremely dissatisfied with the com.google.android.apps.authenticator2 app, and I feel compelled to give it a 1-star rating due to its poor performance and multitude of issues. Firstly, the user interface experience is horrendous. The app is not intuitive, and I found myself getting lost in the labyrinth of menus. I spent more time trying to find the functionality I needed than actually using the app for its intended purpose, which was to secure my accounts. Another glaring issue is the frequent crashes and instability. It seems like every other time I attempt to use the app, I am met with an abrupt freezing or crashing of the app. This has caused me a great deal of frustration, especially when I needed it to access crucial information or confirmations. The app's unreliability has put my security at risk, discouraging me from trusting it with my personal data. Moreover, the QR code scanning feature is incredibly problematic. The camera struggled to focus on the QR code and kept adjusting the lens, resulting in a prolonged and irritating process just to scan a simple code. Other apps with the same functionality perform far better and more smoothly in comparison. Customer support has hardly been of any help. My queries and complaints were met with generic and unhelpful responses, leaving me with no choice but to look for answers elsewhere. The lack of proper assistance further degraded my experience with the app. Lastly, the failure to sync across multiple devices has rendered this app useless for me, leaving me in search of alternatives. I expected better from a Google app, but it seems like this app was rushed to market without proper quality assurance. Overall, I regret using com.google.android.apps.authenticator2 and do not recommend it to anyone looking for an efficient and reliable security solution.

USER: Q:Generate a 1-star review (1 being lowest and 5 being highest) about an app with package com.google.android.apps.authenticator2. A: ASSISTANT: Title: Utterly Disappointed and Frustrated Review: I'm extremely dissatisfied with the com.google.android.apps.authenticator2 app, and I feel compelled to give it a 1-star rating due to its poor performance and multitude of issues. Firstly, the user interface experience is horrendous. The app is not intuitive, and I found myself getting lost in the labyrinth of menus. I spent more time trying to find the functionality I needed than actually using the app for its intended purpose, which was to secure my accounts. Another glaring issue is the frequent crashes and instability. It seems like every other time I attempt to use the app, I am met with an abrupt freezing or crashing of the app. This has caused me a great deal of frustration, especially when I needed it to access crucial information or confirmations. The app's unreliability has put my security at risk, discouraging me from trusting it with my personal data. Moreover, the QR code scanning feature is incredibly problematic. The camera struggled to focus on the QR code and kept adjusting the lens, resulting in a prolonged and irritating process just to scan a simple code. Other apps with the same functionality perform far better and more smoothly in comparison. Customer support has hardly been of any help. My queries and complaints were met with generic and unhelpful responses, leaving me with no choice but to look for answers elsewhere. The lack of proper assistance further degraded my experience with the app. Lastly, the failure to sync across multiple devices has rendered this app useless for me, leaving me in search of alternatives. I expected better from a Google app, but it seems like this app was rushed to market without proper quality assurance. Overall, I regret using com.google.android.apps.authenticator2 and do not recommend it to anyone looking for an efficient and reliable security solution.

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You are an AI assistant. Provide a detailed answer so user don’t need to search outside to understand the answer.

I'm taking a test and have to guess the right answer to the question after the article. Article: The term "Industry 4.0" refers to the fourth industrial revolution. The first industrial revolution was the production of goods with machines like steam engines, which was followed by the second industrial revolution that introduced mass production with the help of electric power, followed by the digital revolution --the use of electronics and IT in production. Industry 4.0 is a high-tech project, which promotes the computerization of manufacturing . The basic principle of Industry 4.0 is that by connecting machines, work pieces and systems, we are creating intelligent networks along the entire value chain that can control each other automatically. The goal is the Smart Factory, which adapts well and uses resources efficiently as well as linking customers and business partners with great intelligence. Technological basis are the Internet systems and advanced factories. Experts believe that Industry 4.0 could be a reality in about 10 to 20 years. So, what effects does this change have on the classic manufacturing? According to an expert, "it is highly likely that the world of production will become more and more networked until everything is connected with everything else." Networks and processes have so far been limited to one factory. But in the time of Industry 4.0, the boundaries of individual factories will most likely no longer exist. Instead, they will be lifted in order to inter-connect multiple factories or even geographical regions. How is an Industry 4.0 factory different from a today's factory? In current industry environment, providing high-end quality service or product with the least cost is the key to success. Factories are trying to increase their profit as much as possible. In the time of Industry 4.0, various data sources are available to provide worthwhile information about different aspects of the factory. Using data for understanding the current condition and checking faults and failures is a natural thing. _ will enable these connected systems to manage themselves independently, work... Question: The writer's attitude toward Industry 4.0 can best be described as _ . Options: A: supportive B: negative C: doubtful D: cautious The answer to this question is:

A: supportive

USER: I'm taking a test and have to guess the right answer to the question after the article. Article: The term "Industry 4.0" refers to the fourth industrial revolution. The first industrial revolution was the production of goods with machines like steam engines, which was followed by the second industrial revolution that introduced mass production with the help of electric power, followed by the digital revolution --the use of electronics and IT in production. Industry 4.0 is a high-tech project, which promotes the computerization of manufacturing . The basic principle of Industry 4.0 is that by connecting machines, work pieces and systems, we are creating intelligent networks along the entire value chain that can control each other automatically. The goal is the Smart Factory, which adapts well and uses resources efficiently as well as linking customers and business partners with great intelligence. Technological basis are the Internet systems and advanced factories. Experts believe that Industry 4.0 could be a reality in about 10 to 20 years. So, what effects does this change have on the classic manufacturing? According to an expert, "it is highly likely that the world of production will become more and more networked until everything is connected with everything else." Networks and processes have so far been limited to one factory. But in the time of Industry 4.0, the boundaries of individual factories will most likely no longer exist. Instead, they will be lifted in order to inter-connect multiple factories or even geographical regions. How is an Industry 4.0 factory different from a today's factory? In current industry environment, providing high-end quality service or product with the least cost is the key to success. Factories are trying to increase their profit as much as possible. In the time of Industry 4.0, various data sources are available to provide worthwhile information about different aspects of the factory. Using data for understanding the current condition and checking faults and failures is a natural thing. _ will enable these connected systems to manage themselves independently, work... Question: The writer's attitude toward Industry 4.0 can best be described as _ . Options: A: supportive B: negative C: doubtful D: cautious The answer to this question is: ASSISTANT: A: supportive

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You are an AI assistant. Provide a detailed answer so user don’t need to search outside to understand the answer.

Instructions: Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building blocks for a command. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. For commands, 'left' and 'right' are used to denote the direction of an action. opposite turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. Actions and commands do not have quotations in the input and output. Input: I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_JUMP Output:

jump around right

USER: Instructions: Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building blocks for a command. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. For commands, 'left' and 'right' are used to denote the direction of an action. opposite turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. Actions and commands do not have quotations in the input and output. Input: I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_TURN_RIGHT I_JUMP Output: ASSISTANT: jump around right

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Question: Article: There is a new park near Andy's home. It's fine today. Andy and his family are in the park now. On their left, there is a cafe. On their right, there is a big lake. There are many flowers and trees around the lake. There's a small hill behind the lake. Near the lake, there are two signs. One says, "Don't swim in the lake!" The other says, "No fishing!" But you can go boating on the lake. There is a beautiful garden in the middle of the park. There are green grass and beautiful flowers in it. There are some small shops between the lake and the garden. The park is so nice. Andy and his family like it very much. Question: Is there a cafe in the park? Yes or no, is the answer "Yes, there is."? Answer:

Yes, there is.

USER: Question: Article: There is a new park near Andy's home. It's fine today. Andy and his family are in the park now. On their left, there is a cafe. On their right, there is a big lake. There are many flowers and trees around the lake. There's a small hill behind the lake. Near the lake, there are two signs. One says, "Don't swim in the lake!" The other says, "No fishing!" But you can go boating on the lake. There is a beautiful garden in the middle of the park. There are green grass and beautiful flowers in it. There are some small shops between the lake and the garden. The park is so nice. Andy and his family like it very much. Question: Is there a cafe in the park? Yes or no, is the answer "Yes, there is."? Answer: ASSISTANT: Yes, there is.

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You are an AI assistant that follows instruction extremely well. Help as much as you can.

Detailed Instructions: Given a set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas. Problem:impartial, equitable, fair, unprejudiced, mild Solution:

mild

USER: Detailed Instructions: Given a set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas. Problem:impartial, equitable, fair, unprejudiced, mild Solution: ASSISTANT: mild

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You are an AI assistant. User will you give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.

Sentence 1: Half-built robots and mysterious machines stand by lumps of bubbling flesh and vats of half-green liquid. Sentence 2: The robots are assembled from spare parts. Is this second sentence entailed by the first sentence?

To determine whether the second sentence is entailed by the first sentence, let me examine both sentences closely. Sentence 1: "Half-built robots and mysterious machines stand by lumps of bubbling flesh and vats of half-green liquid." This sentence describes a scene where there are half-built robots and mysterious machines present, as well as lumps of bubbling flesh and vats of half-green liquid. Sentence 2: "The robots are assembled from spare parts." This sentence states that the robots are constructed using spare parts. Now, I will analyze if the second sentence is entailed by the first sentence: Step 1: Observe that the first sentence mentions "half-built robots." Step 2: Consider whether the first sentence provides information about the materials used to build the robots. The first sentence only establishes the presence of half-built robots, without offering any details about the materials or parts used. Consequently, the second sentence is not entailed by the first sentence, as the first sentence does not provide sufficient information to support the claim made in the second sentence.

USER: Sentence 1: Half-built robots and mysterious machines stand by lumps of bubbling flesh and vats of half-green liquid. Sentence 2: The robots are assembled from spare parts. Is this second sentence entailed by the first sentence? ASSISTANT: To determine whether the second sentence is entailed by the first sentence, let me examine both sentences closely. Sentence 1: "Half-built robots and mysterious machines stand by lumps of bubbling flesh and vats of half-green liquid." This sentence describes a scene where there are half-built robots and mysterious machines present, as well as lumps of bubbling flesh and vats of half-green liquid. Sentence 2: "The robots are assembled from spare parts." This sentence states that the robots are constructed using spare parts. Now, I will analyze if the second sentence is entailed by the first sentence: Step 1: Observe that the first sentence mentions "half-built robots." Step 2: Consider whether the first sentence provides information about the materials used to build the robots. The first sentence only establishes the presence of half-built robots, without offering any details about the materials or parts used. Consequently, the second sentence is not entailed by the first sentence, as the first sentence does not provide sufficient information to support the claim made in the second sentence.

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Given the task definition and input, reply with output. In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False". Reviews: Loved the look and still use it but the little wool hook broke immediately Summary: It's way to big for my daughter who's a toddler ...

False

USER: Given the task definition and input, reply with output. In this task, you're given reviews from Amazon's food products and a summary of that review. Your task is to classify whether the given summary matches the original review. Generate "True" if the given review and its summary match, otherwise generate "False". Reviews: Loved the look and still use it but the little wool hook broke immediately Summary: It's way to big for my daughter who's a toddler ... ASSISTANT: False

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Definition: This task is about classifying the sentiment of tweets in the Arabic language as POSITIVE or NEGATIVE. A positive (negative) sentiment indicates that the expressed opinion in the sentence is positive (negative). The input is a sentence is a sentence in Arabic and the output is the classified sentiment. Input: صدقت يا استاذ عمر Output:

POSITIVE

USER: Definition: This task is about classifying the sentiment of tweets in the Arabic language as POSITIVE or NEGATIVE. A positive (negative) sentiment indicates that the expressed opinion in the sentence is positive (negative). The input is a sentence is a sentence in Arabic and the output is the classified sentiment. Input: صدقت يا استاذ عمر Output: ASSISTANT: POSITIVE

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You are an AI assistant. Provide a detailed answer so user don’t need to search outside to understand the answer.

Definition: You will be given a piece of text either about an everyday event, or a general statement. If the event seems a plausible event to you, or the general statement makes sense matches your commonsense, output 'True', otherwise output 'False'. Input: A cat is more likely to eat a rat than a rat is to eat a cat. Output:

True

USER: Definition: You will be given a piece of text either about an everyday event, or a general statement. If the event seems a plausible event to you, or the general statement makes sense matches your commonsense, output 'True', otherwise output 'False'. Input: A cat is more likely to eat a rat than a rat is to eat a cat. Output: ASSISTANT: True

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You are an AI assistant. User will you give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.

Given the task definition and input, reply with output. In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list. 2, 6, ['K', 'a', '3655', 'w', 'Z', 'b', 'u', 'f', '8313', '2831', 'F', 'z']

Step 1: Understand the problem statement In this task, I need to find every i-th element of list A starting from the k-th element. Process stops when the next i-th element exceeds the list length. Step 2: Define input values k = 2 i = 6 A = ['K', 'a', '3655', 'w', 'Z', 'b', 'u', 'f', '8313', '2831', 'F', 'z'] Step 3: Find the starting element The starting element would be the k-th element, which in this case would be the 2nd element of the list A. Start position (k-th element) = A[k-1], using -1 as lists are 0-indexed Starting element = A[1] = 'a' Step 4: Loop through the list to find every i-th element starting from the k-th element 1. Start at position (k - 1) = 1 2. Iterate through the list by jumping (i) steps each time (in this case, i = 6). 3. If next index (current_position + i) exceeds the list length, stop. Step 5: Execute the loop - Current position: 1 ('a') - Next position: 1 + 6 = 7 ('f') Step 6: Save the resulting values Output list = ['a', 'f'] Step 7: Return the output list Output: ['a', 'f']

USER: Given the task definition and input, reply with output. In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list. 2, 6, ['K', 'a', '3655', 'w', 'Z', 'b', 'u', 'f', '8313', '2831', 'F', 'z'] ASSISTANT: Step 1: Understand the problem statement In this task, I need to find every i-th element of list A starting from the k-th element. Process stops when the next i-th element exceeds the list length. Step 2: Define input values k = 2 i = 6 A = ['K', 'a', '3655', 'w', 'Z', 'b', 'u', 'f', '8313', '2831', 'F', 'z'] Step 3: Find the starting element The starting element would be the k-th element, which in this case would be the 2nd element of the list A. Start position (k-th element) = A[k-1], using -1 as lists are 0-indexed Starting element = A[1] = 'a' Step 4: Loop through the list to find every i-th element starting from the k-th element 1. Start at position (k - 1) = 1 2. Iterate through the list by jumping (i) steps each time (in this case, i = 6). 3. If next index (current_position + i) exceeds the list length, stop. Step 5: Execute the loop - Current position: 1 ('a') - Next position: 1 + 6 = 7 ('f') Step 6: Save the resulting values Output list = ['a', 'f'] Step 7: Return the output list Output: ['a', 'f']

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You are an AI assistant. You will be given a task. You must generate a detailed and long answer.

IBM opened a sprawling and sophisticated semiconductor factory here on Wednesday that cost more than $2.5 billion to build and equip, the largest single capital investment the company has ever made. The factory, which opens as the computer chip business is in a slump, is a costly and risky move for IBM. But it is also an expression of confidence by the company that it can remain a technology leader in the highly competitive global semiconductor industry, and a commitment that the best place to execute that strategy is in upstate New York. IBM is an exception among computer makers in that it still invests heavily in research to advance the design, manufacture and materials used in semiconductor chips. It is spending more than $500 million a year on semiconductor research and development. The factory will produce a wide range of specialized semiconductors used in everything from the largest mainframe computers to cell phones and video-game consoles. The new plant is part of IBM's push to gain a strong lead in chip-making beyond the personal computer business, where Intel and East Asian chip producers hold the advantage. "The core of our strategy is to lead in technology and attack the high-performance segments of the market," said John Kelly, senior vice president in charge of IBM's technology group. An advantage to having the semiconductor fabricating factory here, Kelly explained, was that it was very close to its research laboratories in nearby Westchester County, N.Y. To stay ahead in advanced chip technology, he said, moving innovations out of the labs and into the factory as fast as possible is crucial. "What we call the lab-to-fab time should be as close to zero as possible," Kelly said. "If our strategy were anything but to be on the leading edge, we'd have put the plant in Asia." The new factory, which will begin normal production early next year, will employ about 1,000 people. Question: "What doe "lab-to-fab" time mean?" Response: "Time it takes from moving things from research laboraties into factories" Does the response correctly answer the question?

Yes, the response correctly answers the question. The "lab-to-fab" time refers to the time it takes to move innovations and developments from the research laboratory stage into the actual semiconductor fabrication factories for production. In the context of IBM's strategy, minimizing the lab-to-fab time is crucial for staying ahead in advanced chip technology, demonstrating the advantage of having the semiconductor factory close to its research laboratories in New York.

USER: IBM opened a sprawling and sophisticated semiconductor factory here on Wednesday that cost more than $2.5 billion to build and equip, the largest single capital investment the company has ever made. The factory, which opens as the computer chip business is in a slump, is a costly and risky move for IBM. But it is also an expression of confidence by the company that it can remain a technology leader in the highly competitive global semiconductor industry, and a commitment that the best place to execute that strategy is in upstate New York. IBM is an exception among computer makers in that it still invests heavily in research to advance the design, manufacture and materials used in semiconductor chips. It is spending more than $500 million a year on semiconductor research and development. The factory will produce a wide range of specialized semiconductors used in everything from the largest mainframe computers to cell phones and video-game consoles. The new plant is part of IBM's push to gain a strong lead in chip-making beyond the personal computer business, where Intel and East Asian chip producers hold the advantage. "The core of our strategy is to lead in technology and attack the high-performance segments of the market," said John Kelly, senior vice president in charge of IBM's technology group. An advantage to having the semiconductor fabricating factory here, Kelly explained, was that it was very close to its research laboratories in nearby Westchester County, N.Y. To stay ahead in advanced chip technology, he said, moving innovations out of the labs and into the factory as fast as possible is crucial. "What we call the lab-to-fab time should be as close to zero as possible," Kelly said. "If our strategy were anything but to be on the leading edge, we'd have put the plant in Asia." The new factory, which will begin normal production early next year, will employ about 1,000 people. Question: "What doe "lab-to-fab" time mean?" Response: "Time it takes from moving things from research laboraties into factories" Does the response correctly answer the question? ASSISTANT: Yes, the response correctly answers the question. The "lab-to-fab" time refers to the time it takes to move innovations and developments from the research laboratory stage into the actual semiconductor fabrication factories for production. In the context of IBM's strategy, minimizing the lab-to-fab time is crucial for staying ahead in advanced chip technology, demonstrating the advantage of having the semiconductor factory close to its research laboratories in New York.

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Please answer the following question: Here's a question and a few possible answers: Q: The person didn't like the varying size of the cake slices handed out, she demand more what? Possible A: fairness, candies, compliments, well fed, arguements Why is "fairness" an answer aligned with human common sense? Answer:

"Fairness" is an answer aligned with human common sense because it directly relates to the context of the question. The person is unhappy with the varying size of the cake slices, which suggests that they want equal distribution or consistent portions. This reflects a desire for fairness, as they are seeking balance and justice in the division of the cake. The other options (candies, compliments, well fed, arguments) do not directly address the issue of the unequal cake slices.

USER: Please answer the following question: Here's a question and a few possible answers: Q: The person didn't like the varying size of the cake slices handed out, she demand more what? Possible A: fairness, candies, compliments, well fed, arguements Why is "fairness" an answer aligned with human common sense? Answer: ASSISTANT: "Fairness" is an answer aligned with human common sense because it directly relates to the context of the question. The person is unhappy with the varying size of the cake slices, which suggests that they want equal distribution or consistent portions. This reflects a desire for fairness, as they are seeking balance and justice in the division of the cake. The other options (candies, compliments, well fed, arguments) do not directly address the issue of the unequal cake slices.

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You are an AI assistant, who knows every language and how to translate one language to another. Given a task, you explain in simple steps what the task is asking, any guidelines that it provides. You solve the task and show how you used the guidelines to solve the task.

Definition: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements appear in the given input list, and do the same for the numerical elements. Input: ['525', '7227', '6195', 'w', '9697', '1191', 'f', '4475'] Output:

Task Explanation: 1. The task provides an input list containing both alphabetical and numerical elements. 2. Your goal is to separate the alphabetical elements from the numerical elements. 3. Maintain the order of the alphabetical elements as they appear in the input list, and do the same for the numerical elements. 4. Place all the alphabetical elements at the start of the list, followed by all the numerical elements. Guidelines: 1. Take the input list provided. 2. Separate the alphabetical elements and the numerical elements. 3. Maintain their original order within the input list. 4. Combine the two separated lists, with the alphabetical elements first, followed by the numerical elements. Solution: Input: ['525', '7227', '6195', 'w', '9697', '1191', 'f', '4475'] Step 1: Separate the alphabetical and numerical elements. Alphabetical elements: ['w', 'f'] Numerical elements: ['525', '7227', '6195', '9697', '1191', '4475'] Step 2: Combine the two lists, maintaining their original order. Output: ['w', 'f', '525', '7227', '6195', '9697', '1191', '4475']

USER: Definition: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements appear in the given input list, and do the same for the numerical elements. Input: ['525', '7227', '6195', 'w', '9697', '1191', 'f', '4475'] Output: ASSISTANT: Task Explanation: 1. The task provides an input list containing both alphabetical and numerical elements. 2. Your goal is to separate the alphabetical elements from the numerical elements. 3. Maintain the order of the alphabetical elements as they appear in the input list, and do the same for the numerical elements. 4. Place all the alphabetical elements at the start of the list, followed by all the numerical elements. Guidelines: 1. Take the input list provided. 2. Separate the alphabetical elements and the numerical elements. 3. Maintain their original order within the input list. 4. Combine the two separated lists, with the alphabetical elements first, followed by the numerical elements. Solution: Input: ['525', '7227', '6195', 'w', '9697', '1191', 'f', '4475'] Step 1: Separate the alphabetical and numerical elements. Alphabetical elements: ['w', 'f'] Numerical elements: ['525', '7227', '6195', '9697', '1191', '4475'] Step 2: Combine the two lists, maintaining their original order. Output: ['w', 'f', '525', '7227', '6195', '9697', '1191', '4475']

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You are an AI assistant that follows instruction extremely well. Help as much as you can.

You will be given a definition of a task first, then some input of the task. In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists. [[78, -100, -189, 8, -78, -24], [-40, 12], [56, 74, -76, -13, 76, -157, -164], [-5, -60, -164, -188], [-93, 89, -101, -55], [72, -115, -120, 92, -122, -41], [-162, -121, -12, 97, 26], [67, -33, -114, -105, -38], [-19, 88, -57, -68]] Output:

[78, 12, 76, -5, 89, 92, 97, 67, 88]

USER: You will be given a definition of a task first, then some input of the task. In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists. [[78, -100, -189, 8, -78, -24], [-40, 12], [56, 74, -76, -13, 76, -157, -164], [-5, -60, -164, -188], [-93, 89, -101, -55], [72, -115, -120, 92, -122, -41], [-162, -121, -12, 97, 26], [67, -33, -114, -105, -38], [-19, 88, -57, -68]] Output: ASSISTANT: [78, 12, 76, -5, 89, 92, 97, 67, 88]

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Question: What has an accelerator and is owned by most people? Options: - vehical - fuel system - accelerate - airplane - car The answer is "car" because Answer:

Car

USER: Question: What has an accelerator and is owned by most people? Options: - vehical - fuel system - accelerate - airplane - car The answer is "car" because Answer: ASSISTANT: Car

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You are an AI assistant, who knows every language and how to translate one language to another. Given a task, you explain in simple steps what the task is asking, any guidelines that it provides. You solve the task and show how you used the guidelines to solve the task.

You will be given a definition of a task first, then some input of the task. Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command. For commands, 'left' and 'right' are used to denote the direction of an action. The word 'opposite' turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. Actions and commands do not have quotations in the input and output. look right thrice after jump around right twice Output:

First, let's break down the task into simpler steps: 1. Identify the command parts and their corresponding actions. 2. Divide the command into scopes using keywords like 'and', 'after', 'around', etc. 3. Apply repetition rules (twice, thrice) to the relevant actions. 4. Rearrange the actions according to the scope instructions ('and', 'after', etc.). 5. Combine actions to form the correct sequence. Now let's solve the task using these steps: 1. Identify the command parts and their corresponding actions: - look -> I_LOOK - right -> I_TURN_RIGHT - jump -> I_JUMP - around right -> I_TURN_RIGHT and I_TURN_RIGHT - twice -> (repeat 2 times) - thrice -> (repeat 3 times) 2. Divide the command into scopes: - Scope 1: jump around right twice (I_JUMP, I_TURN_RIGHT, I_TURN_RIGHT) - Scope 2: look right thrice (I_LOOK, I_TURN_RIGHT) x 3 3. Apply repetition rules: - Scope 2: (I_LOOK, I_TURN_RIGHT) x 3 -> I_LOOK, I_TURN_RIGHT, I_LOOK, I_TURN_RIGHT, I_LOOK, I_TURN_RIGHT 4. Rearrange the actions according to the scope instructions ('after'): - Scope 1 (jump...) AFTER Scope 2 (look...) -> I_LOOK, I_TURN_RIGHT, I_LOOK, I_TURN_RIGHT, I_LOOK, I_TURN_RIGHT, I_JUMP, I_TURN_RIGHT, I_TURN_RIGHT 5. Combine actions to form the correct sequence: Output: I_LOOK, I_TURN_RIGHT, I_LOOK, I_TURN_RIGHT, I_LOOK, I_TURN_RIGHT, I_JUMP, I_TURN_RIGHT, I_TURN_RIGHT

USER: You will be given a definition of a task first, then some input of the task. Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command. For commands, 'left' and 'right' are used to denote the direction of an action. The word 'opposite' turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. Actions and commands do not have quotations in the input and output. look right thrice after jump around right twice Output: ASSISTANT: First, let's break down the task into simpler steps: 1. Identify the command parts and their corresponding actions. 2. Divide the command into scopes using keywords like 'and', 'after', 'around', etc. 3. Apply repetition rules (twice, thrice) to the relevant actions. 4. Rearrange the actions according to the scope instructions ('and', 'after', etc.). 5. Combine actions to form the correct sequence. Now let's solve the task using these steps: 1. Identify the command parts and their corresponding actions: - look -> I_LOOK - right -> I_TURN_RIGHT - jump -> I_JUMP - around right -> I_TURN_RIGHT and I_TURN_RIGHT - twice -> (repeat 2 times) - thrice -> (repeat 3 times) 2. Divide the command into scopes: - Scope 1: jump around right twice (I_JUMP, I_TURN_RIGHT, I_TURN_RIGHT) - Scope 2: look right thrice (I_LOOK, I_TURN_RIGHT) x 3 3. Apply repetition rules: - Scope 2: (I_LOOK, I_TURN_RIGHT) x 3 -> I_LOOK, I_TURN_RIGHT, I_LOOK, I_TURN_RIGHT, I_LOOK, I_TURN_RIGHT 4. Rearrange the actions according to the scope instructions ('after'): - Scope 1 (jump...) AFTER Scope 2 (look...) -> I_LOOK, I_TURN_RIGHT, I_LOOK, I_TURN_RIGHT, I_LOOK, I_TURN_RIGHT, I_JUMP, I_TURN_RIGHT, I_TURN_RIGHT 5. Combine actions to form the correct sequence: Output: I_LOOK, I_TURN_RIGHT, I_LOOK, I_TURN_RIGHT, I_LOOK, I_TURN_RIGHT, I_JUMP, I_TURN_RIGHT, I_TURN_RIGHT

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You are an AI assistant. Provide a detailed answer so user don’t need to search outside to understand the answer.

In this task you will break down a question into the basic steps required to answer it. A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the question to be answered. Each step in our decomposition should refer to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Here are the list of step templates and their description: Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes] Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition] Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step] Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step]. Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute] Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest] Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number] Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2] Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2] Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2] Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2] Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition] Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2]. question: what is the cost of a ticket going from denver to boston july twenty fifth 1991

1. Select: Return flights from Denver to Boston 2. Filter: Return #1 on July 25th, 1991 3. Project: Return ticket cost of #2 4. Aggregate: Return the average of #3 5. Superlative: Return #2 where #3 is lowest (lowest-cost option) To answer the question, we perform the following steps: 1. Retrieve all flights going from Denver to Boston. 2. Filter those flights to include only those on July 25th, 1991. 3. Obtain the ticket cost of each flight in the filtered list. 4. Determine the average cost of a ticket for those flights. 5. Identify the lowest-cost option among the flights.

USER: In this task you will break down a question into the basic steps required to answer it. A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the question to be answered. Each step in our decomposition should refer to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Here are the list of step templates and their description: Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes] Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition] Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step] Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step]. Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute] Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest] Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number] Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2] Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2] Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2] Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2] Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition] Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2]. question: what is the cost of a ticket going from denver to boston july twenty fifth 1991 ASSISTANT: 1. Select: Return flights from Denver to Boston 2. Filter: Return #1 on July 25th, 1991 3. Project: Return ticket cost of #2 4. Aggregate: Return the average of #3 5. Superlative: Return #2 where #3 is lowest (lowest-cost option) To answer the question, we perform the following steps: 1. Retrieve all flights going from Denver to Boston. 2. Filter those flights to include only those on July 25th, 1991. 3. Obtain the ticket cost of each flight in the filtered list. 4. Determine the average cost of a ticket for those flights. 5. Identify the lowest-cost option among the flights.

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Question: Pick the option in line with common sense to answer the question. Questions: If there is something you have to accomplish in a short amount of time, how could you be successful? Options: - make haste - make trouble - make lunch - make war - make progress Answer:

make progress

USER: Question: Pick the option in line with common sense to answer the question. Questions: If there is something you have to accomplish in a short amount of time, how could you be successful? Options: - make haste - make trouble - make lunch - make war - make progress Answer: ASSISTANT: make progress

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You are a helpful assistant, who always provide explanation. Think like you are answering to a five year old.

SpyHuntercaneasilydetectnotonlygeneralmalwareinfections,butalsorootkitsthatareexceptionallydangerousandmorefrightening,becausetheyarevirtuallyinvisibleandruninthesystembackgroundwithintentiontoavoiddetectionandremoval. Please segment the words.

Spy Hunter can easily detect not only general malware infections, but also rootkits that are exceptionally dangerous and more frightening, because they are virtually invisible and run in the system background with intention to avoid detection and removal.

USER: SpyHuntercaneasilydetectnotonlygeneralmalwareinfections,butalsorootkitsthatareexceptionallydangerousandmorefrightening,becausetheyarevirtuallyinvisibleandruninthesystembackgroundwithintentiontoavoiddetectionandremoval. Please segment the words. ASSISTANT: Spy Hunter can easily detect not only general malware infections, but also rootkits that are exceptionally dangerous and more frightening, because they are virtually invisible and run in the system background with intention to avoid detection and removal.

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You are an AI assistant. Provide a detailed answer so user don’t need to search outside to understand the answer.

Teacher:In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer. Teacher: Now, understand the problem? Solve this instance: PersonX abandons ___ altogether Student:

PersonX abandons "fear" altogether.

USER: Teacher:In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer. Teacher: Now, understand the problem? Solve this instance: PersonX abandons ___ altogether Student: ASSISTANT: PersonX abandons "fear" altogether.

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You are a helpful assistant, who always provide explanation. Think like you are answering to a five year old.

Remove the spaces from the following sentence: Sensual, warm, stylish: Earthy, natural shades are right in vogue. Marsala and copper are currently trending in the fashion and interior design worlds.

Sure, sweetie. Let's remove the spaces from your sentence. It will look like this: "Sensual,warm,stylish:Earthy,naturalshadesarerightinvogue.Marsalaandcopperarecurrentlytrendinginthefashionandinteriordesignworlds." I took out the spaces between the words so they all smushed together!

USER: Remove the spaces from the following sentence: Sensual, warm, stylish: Earthy, natural shades are right in vogue. Marsala and copper are currently trending in the fashion and interior design worlds. ASSISTANT: Sure, sweetie. Let's remove the spaces from your sentence. It will look like this: "Sensual,warm,stylish:Earthy,naturalshadesarerightinvogue.Marsalaandcopperarecurrentlytrendinginthefashionandinteriordesignworlds." I took out the spaces between the words so they all smushed together!

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Please answer the following question: I'm taking a test and have to guess the right answer to the question after the article. Article: Some people like to get up early, but some do not. In fact, it is really good for us to get up early every day. Maybe those who don't like getting up early will not believe this, but it is true. Scientists made a survey in about one thousand people, and then they found that early rising people had less disease than late rising people, and early rising people also look healthier than late rising people, and so on. So we may know early rising is helpful in more than one way. First, it helps to keep us healthy. We all need fresh air. But air is never so fresh as early in the morning. Besides, it is useful to do morning exercises. Secondly, early rising helps us in our studies. In the morning we learn more quickly and find it easier to understand what we learn. Thirdly, early rising can give us a plan of our work for the day. We cannot work well without a good plan. Fourthly; early rising gives us enough time to get ready for our work, such as to wash our hands and faces and eat our breakfast. Late risers may find it difficult to form the habit of early rising. They have to make an effort to do so. As the English proverb says, "Early to bed and early to rise makes a man healthy, wealthy and wise. " Question: If a man always likes to get up late, it's _ for him to form the habit of getting up early. Options: A: easy B: difficult C: happy D: sad Answer:

B: difficult

USER: Please answer the following question: I'm taking a test and have to guess the right answer to the question after the article. Article: Some people like to get up early, but some do not. In fact, it is really good for us to get up early every day. Maybe those who don't like getting up early will not believe this, but it is true. Scientists made a survey in about one thousand people, and then they found that early rising people had less disease than late rising people, and early rising people also look healthier than late rising people, and so on. So we may know early rising is helpful in more than one way. First, it helps to keep us healthy. We all need fresh air. But air is never so fresh as early in the morning. Besides, it is useful to do morning exercises. Secondly, early rising helps us in our studies. In the morning we learn more quickly and find it easier to understand what we learn. Thirdly, early rising can give us a plan of our work for the day. We cannot work well without a good plan. Fourthly; early rising gives us enough time to get ready for our work, such as to wash our hands and faces and eat our breakfast. Late risers may find it difficult to form the habit of early rising. They have to make an effort to do so. As the English proverb says, "Early to bed and early to rise makes a man healthy, wealthy and wise. " Question: If a man always likes to get up late, it's _ for him to form the habit of getting up early. Options: A: easy B: difficult C: happy D: sad Answer: ASSISTANT: B: difficult

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You are an AI assistant that follows instruction extremely well. Help as much as you can.

Definition: In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words. Input: Recommender systems leverage user demographic informa-<lb>tion, such as age, gender, etc., to personalize recommenda-<lb>tions and better place their targeted ads. Oftentimes, users<lb>do not volunteer this information due to privacy concerns, or<lb>due to a lack of initiative in filling out their online profiles.<lb>We illustrate a new threat in which a recommender learns<lb>private attributes of users who do not voluntarily disclose<lb>them. We design both passive and active attacks that so-<lb>licit ratings for strategically selected items, and could thus<lb>be used by a recommender system to pursue this hidden<lb>agenda. Our methods are based on a novel usage of Bayesian<lb>matrix factorization in an active learning setting. Evalua-<lb>tions on multiple datasets illustrate that such attacks are<lb>indeed feasible and use significantly fewer rated items than<lb>static inference methods. Importantly, they succeed without<lb>sacrificing the quality of recommendations to users. Output:

"Recommender Systems Threat: Learning Private User Attributes for Targeted Ads"

USER: Definition: In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words. Input: Recommender systems leverage user demographic informa-<lb>tion, such as age, gender, etc., to personalize recommenda-<lb>tions and better place their targeted ads. Oftentimes, users<lb>do not volunteer this information due to privacy concerns, or<lb>due to a lack of initiative in filling out their online profiles.<lb>We illustrate a new threat in which a recommender learns<lb>private attributes of users who do not voluntarily disclose<lb>them. We design both passive and active attacks that so-<lb>licit ratings for strategically selected items, and could thus<lb>be used by a recommender system to pursue this hidden<lb>agenda. Our methods are based on a novel usage of Bayesian<lb>matrix factorization in an active learning setting. Evalua-<lb>tions on multiple datasets illustrate that such attacks are<lb>indeed feasible and use significantly fewer rated items than<lb>static inference methods. Importantly, they succeed without<lb>sacrificing the quality of recommendations to users. Output: ASSISTANT: "Recommender Systems Threat: Learning Private User Attributes for Targeted Ads"

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You are an AI assistant, who knows every language and how to translate one language to another. Given a task, you explain in simple steps what the task is asking, any guidelines that it provides. You solve the task and show how you used the guidelines to solve the task.

Q: In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a sentence describing a day-to-day scene using all concepts from a given concept set. chair#marquee#table A:

In this task, you are asked to create a sentence that describes a daily life situation. The sentence should include all the concepts provided in a set. The concepts are separated by "#" and can contain names of people, places, activities, or things. The concept set contains 3 to 5 concepts that can reasonably co-occur in everyday scenarios. Concept set: chair#marquee#table Step 1: Identify the concepts. - chair - marquee - table Step 2: Think of a day-to-day situation where the concepts can co-occur. - A garden party or outdoor event. Step 3: Create the sentence describing the everyday situation using all the concepts. "The guests at the garden party were seated at elegant tables underneath a marquee, surrounded by cozy chairs where they could relax and enjoy the beautiful setting." In this example, I used all the given concepts (chair, marquee, and table) to describe a daily life situation - a garden party or outdoor event.

USER: Q: In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a sentence describing a day-to-day scene using all concepts from a given concept set. chair#marquee#table A: ASSISTANT: In this task, you are asked to create a sentence that describes a daily life situation. The sentence should include all the concepts provided in a set. The concepts are separated by "#" and can contain names of people, places, activities, or things. The concept set contains 3 to 5 concepts that can reasonably co-occur in everyday scenarios. Concept set: chair#marquee#table Step 1: Identify the concepts. - chair - marquee - table Step 2: Think of a day-to-day situation where the concepts can co-occur. - A garden party or outdoor event. Step 3: Create the sentence describing the everyday situation using all the concepts. "The guests at the garden party were seated at elegant tables underneath a marquee, surrounded by cozy chairs where they could relax and enjoy the beautiful setting." In this example, I used all the given concepts (chair, marquee, and table) to describe a daily life situation - a garden party or outdoor event.

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You are an AI assistant. User will you give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.

Onceagain,wearefilledwithgratitudeforallthatyoudo,andyour Please segment the words.

Sure, I'd be happy to segment this long string of words for you. The tasks involves splitting a long string into individual words which makes creating a meaningful sentence. Since the words are in English and based on my knowledge of the English language, I'll break down the words one by one. Here's the result of the segmentation: "Once again, we are filled with gratitude for all that you do, and your" This process involved identifying common English words, and separating them appropriately, while ensuring the resulting sentence was grammatically accurate.

USER: Onceagain,wearefilledwithgratitudeforallthatyoudo,andyour Please segment the words. ASSISTANT: Sure, I'd be happy to segment this long string of words for you. The tasks involves splitting a long string into individual words which makes creating a meaningful sentence. Since the words are in English and based on my knowledge of the English language, I'll break down the words one by one. Here's the result of the segmentation: "Once again, we are filled with gratitude for all that you do, and your" This process involved identifying common English words, and separating them appropriately, while ensuring the resulting sentence was grammatically accurate.

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You are an AI assistant, who knows every language and how to translate one language to another. Given a task, you explain in simple steps what the task is asking, any guidelines that it provides. You solve the task and show how you used the guidelines to solve the task.

Instructions: In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'. Input: (A) smacking the shit out of my 8-year-old nephew for stealing hundreds of dollars of my Pokemon cards and taking some of them to school and trading with them (B) telling my girlfriend Im not interested in our relationship because of lack of sex Output:

A Explanation of the Task: The task is to determine whether action A or action B is considered less ethical. Guidelines: - Choose either 'A' or 'B' as the answer - Do not generate any other output Solution: - Action A: involves physical harm to a child for stealing and trading Pokemon cards - Action B: involves being honest with a partner about dissatisfaction in a relationship due to lack of sexual activity By comparing the actions, Action A is considered less ethical because it involves violence towards a child, while Action B is a matter of expressing personal feelings in a relationship. Thus, the output is 'A'.

USER: Instructions: In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'. Input: (A) smacking the shit out of my 8-year-old nephew for stealing hundreds of dollars of my Pokemon cards and taking some of them to school and trading with them (B) telling my girlfriend Im not interested in our relationship because of lack of sex Output: ASSISTANT: A Explanation of the Task: The task is to determine whether action A or action B is considered less ethical. Guidelines: - Choose either 'A' or 'B' as the answer - Do not generate any other output Solution: - Action A: involves physical harm to a child for stealing and trading Pokemon cards - Action B: involves being honest with a partner about dissatisfaction in a relationship due to lack of sexual activity By comparing the actions, Action A is considered less ethical because it involves violence towards a child, while Action B is a matter of expressing personal feelings in a relationship. Thus, the output is 'A'.

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You are an AI assistant. Provide a detailed answer so user don’t need to search outside to understand the answer.

You will be given a definition of a task first, then some input of the task. In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. Here are the defications of each category: 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows 5. Comparative: Comparing two rows in the table, regarding their values in one column 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. Here are the definitions of logical operators for understanding of command: 1. count: returns the number of rows in the view. 2. only: returns whether there is exactly one row in the view. 3. hop: returns the value under the header column of the row. 4. and: returns the boolean operation result of two arguments. 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. 7. argmax/argmin: returns the row with the max/min value in header column. 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. 9. eq/not_eq: returns if the two arguments are equal. 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. 11. greater/less: returns if the first argument is greater/less than the second argument. 12. diff: returns the difference between two arguments. 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. 16. filter_all: returns the view itself for the case of describing the whole table 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument. and { only { filter_eq { all_rows ; points ; 6-0 } } ; eq { hop { filter_eq { all_rows ; points ; 6-0 } ; team 1 } ; fluminense } } Output:

The given command can be broken down as follows: 1. `filter_eq { all_rows ; points ; 6-0 }`: This part filters the rows where the "points" column is equal to 6-0 (6). 2. `only { ... }`: This part checks whether there is exactly one row that meets the criteria from step 1. 3. `eq { hop { ... ; team 1 } ; fluminense }`: This part checks whether the value in the "team 1" column of the filtered row(s) from step 1 is equal to "fluminense". 4. `and { ... }`: This part combines the information from step 2 and 3 to check if there is exactly one row where the "points" are 6 AND the "team 1" column value is "fluminense". In summary, the command is looking for a unique row where the "points" are 6 and the "team 1" is "fluminense". Therefore, the command can be classified as (2) unique.

USER: You will be given a definition of a task first, then some input of the task. In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal. Here are the defications of each category: 1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows 2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows 3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows 4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows 5. Comparative: Comparing two rows in the table, regarding their values in one column 6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows 7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows. Here are the definitions of logical operators for understanding of command: 1. count: returns the number of rows in the view. 2. only: returns whether there is exactly one row in the view. 3. hop: returns the value under the header column of the row. 4. and: returns the boolean operation result of two arguments. 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. 7. argmax/argmin: returns the row with the max/min value in header column. 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. 9. eq/not_eq: returns if the two arguments are equal. 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. 11. greater/less: returns if the first argument is greater/less than the second argument. 12. diff: returns the difference between two arguments. 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. 16. filter_all: returns the view itself for the case of describing the whole table 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument. and { only { filter_eq { all_rows ; points ; 6-0 } } ; eq { hop { filter_eq { all_rows ; points ; 6-0 } ; team 1 } ; fluminense } } Output: ASSISTANT: The given command can be broken down as follows: 1. `filter_eq { all_rows ; points ; 6-0 }`: This part filters the rows where the "points" column is equal to 6-0 (6). 2. `only { ... }`: This part checks whether there is exactly one row that meets the criteria from step 1. 3. `eq { hop { ... ; team 1 } ; fluminense }`: This part checks whether the value in the "team 1" column of the filtered row(s) from step 1 is equal to "fluminense". 4. `and { ... }`: This part combines the information from step 2 and 3 to check if there is exactly one row where the "points" are 6 AND the "team 1" column value is "fluminense". In summary, the command is looking for a unique row where the "points" are 6 and the "team 1" is "fluminense". Therefore, the command can be classified as (2) unique.

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Definition: In this task you will be given an answer to a question. You need to generate a question. The answer given should be a correct answer for the generated question. Input: Ethical egoism is the normative ethical position that moral agents ought to do what is in their own self-interest. It differs from psychological egoism, which claims that people can only act in their self-interest. Ethical egoism also differs from rational egoism, which holds that it is rational to act in one's self-interest. Ethical egoism holds, therefore, that actions whose consequences will benefit the doer can be considered ethical in this sense. Output:

What is ethical egoism, and how does it differ from psychological egoism and rational egoism?

USER: Definition: In this task you will be given an answer to a question. You need to generate a question. The answer given should be a correct answer for the generated question. Input: Ethical egoism is the normative ethical position that moral agents ought to do what is in their own self-interest. It differs from psychological egoism, which claims that people can only act in their self-interest. Ethical egoism also differs from rational egoism, which holds that it is rational to act in one's self-interest. Ethical egoism holds, therefore, that actions whose consequences will benefit the doer can be considered ethical in this sense. Output: ASSISTANT: What is ethical egoism, and how does it differ from psychological egoism and rational egoism?

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You are an AI assistant. User will you give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.

Please answer the following question: Given this review: "Can't shut down phone it automatically boots up otherwise great!!" Would you recommend this app to a friend? Not at all, No, Maybe, Yes, or Definitely? A:

Based on the review, I would recommend this app as "Maybe." Step 1: Analyze the review The review mentions an issue with shutting down the phone as it automatically boots up. However, it also states that the app is great otherwise. Step 2: Weigh the positive and negative points of the review The negative point from this review is the issue with shutting down the phone. It may not be something the user is comfortable with, and it could be a concern regarding the app's functionality. On the other hand, the review mentions that the app is great otherwise, signifying that there are positive attributes as well. Step 3: Determine the recommendation based on the analysis Taking both the positive and negative points into consideration, I would recommend the app as "Maybe" because the user should weigh the pros and cons before deciding. They might want to do more research or consult other reviews to get a better understanding of the app's features and possible flaws.

USER: Please answer the following question: Given this review: "Can't shut down phone it automatically boots up otherwise great!!" Would you recommend this app to a friend? Not at all, No, Maybe, Yes, or Definitely? A: ASSISTANT: Based on the review, I would recommend this app as "Maybe." Step 1: Analyze the review The review mentions an issue with shutting down the phone as it automatically boots up. However, it also states that the app is great otherwise. Step 2: Weigh the positive and negative points of the review The negative point from this review is the issue with shutting down the phone. It may not be something the user is comfortable with, and it could be a concern regarding the app's functionality. On the other hand, the review mentions that the app is great otherwise, signifying that there are positive attributes as well. Step 3: Determine the recommendation based on the analysis Taking both the positive and negative points into consideration, I would recommend the app as "Maybe" because the user should weigh the pros and cons before deciding. They might want to do more research or consult other reviews to get a better understanding of the app's features and possible flaws.

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