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ataxan

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wop_aigot_dataset

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[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Hi, could you suggest a reliable external hard drive for backing up my data?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Are there any eco-friendly personal care products available?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Beauty & Personal Care\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "I'm thinking of buying a new yoga mat, any suggestions?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Health, Household & Baby Care\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Could you explain the benefits of using organic haircare products?" }, { "from": "gpt", "value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Beauty & Personal Care\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "I've been hearing a lot about microdermabrasion; what is it?" }, { "from": "gpt", "value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Beauty & Personal Care\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Good morning! I'm looking to buy some organic dog treats." }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Pet Supplies\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "I need some new kitchen storage containers that are BPA-free. Any recommendations?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Home & Kitchen\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Hello, can you suggest some good swimming goggles?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Sports & Outdoors\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Hi, do you think you could find me a deal on cookware sets?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Home & Kitchen\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "I heard foam rollers are good for workout recovery. Which one should I buy?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Sports & Outdoors\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "How can I make my living room look more spacious?" }, { "from": "gpt", "value": "{\"buy_inten\": 0, \"inten_level\": 2, \"cat\": \"Home & Kitchen\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Is there a customer service line I can call for more personalized advice?" }, { "from": "gpt", "value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"General\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Is there a game that helps with learning math for kids?" }, { "from": "gpt", "value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Toys & Games\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "I'm in need of new workout gear. What's popular these days?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Clothing, Shoes & Jewelry\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Could you find me a deal on hair styling tools?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Beauty & Personal Care\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Looking for a gift set of beauty products. What do you have?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Beauty & Personal Care\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Are there any eco-friendly shoe options available?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 2, \"cat\": \"Clothing, Shoes & Jewelry\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "What are some good choices for children's rain boots?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Clothing, Shoes & Jewelry\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Need a new cooking pot that's easy to clean, any recommendations?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Home & Kitchen\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Can you find me the top-reviewed cleaning supplies available?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Health, Household & Baby Care\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "I'm looking for a portable projector for outdoor movies. What do you recommend?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "I need to order some multivitamins for my kids, any recommendations?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Health, Household & Baby Care\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "I need to restock my favorite conditioner. Can you find it for me?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 5, \"cat\": \"Beauty & Personal Care\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "What are the best-rated baby monitors currently available on Amazon?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Health, Household & Baby Care\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Can you help me understand more about SPF and its importance?" }, { "from": "gpt", "value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Beauty & Personal Care\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "I need a pair of high heels that won't break the bank." }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Clothing, Shoes & Jewelry\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "What's the best coffee grinder I can buy on Amazon?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Home & Kitchen\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Are there any natural remedies for dry skin?" }, { "from": "gpt", "value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Beauty & Personal Care\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "What's the best selling baby monitor right now?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Health, Household & Baby Care\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "What's the best-selling game console on Amazon?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 5, \"cat\": \"Toys & Games\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Is there a warranty on these electronic games?" }, { "from": "gpt", "value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Toys & Games\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Good morning, what's the latest in home decor?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Home & Kitchen\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Can you compare prices for me on different mechanical keyboard models?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Toys & Games\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "I need a toy that helps with motor skills development. Suggestions?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Toys & Games\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "I need a magic kit for a kid's party. Any good ones you know of?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Toys & Games\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "I heard about ceramic coatings for cars. What can you tell me?" }, { "from": "gpt", "value": "{\"buy_inten\": 0, \"inten_level\": 1, \"cat\": \"Automotive\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "What are the must-have kitchen tools for a new homeowner?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Home & Kitchen\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "How's your day going?" }, { "from": "gpt", "value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"General\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Can you suggest a reliable external hard drive I can order from Amazon?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Can you recommend any trendy home decor items?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Home & Kitchen\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "What's the most popular face wash you have?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Beauty & Personal Care\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Do you have any budget-friendly tablets?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "What are some popular chew toys for puppies?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Pet Supplies\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Hello, what are the best sunscreens available right now?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Beauty & Personal Care\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Could you suggest a hair mask that helps with dry hair?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Beauty & Personal Care\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "I'm looking to buy a new mascara that doesn't clump. Any ideas?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Beauty & Personal Care\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "I'm looking for the best-rated baby monitors, got any suggestions?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Health, Household & Baby Care\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "I heard there are new types of fish food that help with color enhancement. True?" }, { "from": "gpt", "value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Pet Supplies\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Hey, I heard that probiotics are good for health. Do you have any information?" }, { "from": "gpt", "value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Health, Household & Baby Care\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Looking for a pair of reliable earbuds for running. Any recommendations?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Is there a baby formula you would recommend for sensitive stomachs?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Health, Household & Baby Care\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Do you have any Lego sets on sale today?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Toys & Games\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Can you recommend a good place for outdoor yoga sessions?" }, { "from": "gpt", "value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"General\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Can you suggest a top-rated shampoo for dry hair on Amazon?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Beauty & Personal Care\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Is there a significant improvement in the latest smart watches compared to older models?" }, { "from": "gpt", "value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Electronics\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "What are the best-rated running shoes currently?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Clothing, Shoes & Jewelry\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "I'm thinking of upgrading my TV, any good deals on 4K TVs on Amazon?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Could you find me a deal on leather jackets?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 2, \"cat\": \"Clothing, Shoes & Jewelry\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Good morning, ready to assist me with some shopping?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 2, \"cat\": \"General\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Can you help me find a spice rack that saves space?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Home & Kitchen\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Could you help me compare features between two headphones?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 2, \"cat\": \"Electronics\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "What's the latest in organic baby foods?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Health, Household & Baby Care\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Could you explain what HDR means for TVs?" }, { "from": "gpt", "value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Electronics\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "I'm looking for a dress for a wedding next month. Something elegant but not too pricey." }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Clothing, Shoes & Jewelry\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "What's the latest in smart home devices that I could use?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Home & Kitchen\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Is there a new version of Monopoly out?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Toys & Games\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Can you help me compare features between two different earbuds?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Electronics\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Can you check if there are any discounts on skincare kits today?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Beauty & Personal Care\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "What are the best smartwatches available on Amazon right now?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "What's the best wireless speaker under $100?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "What are the most trusted brands for baby skincare products?" }, { "from": "gpt", "value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Health, Household & Baby Care\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Could you help me find a stylish lamp for my office?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Home & Kitchen\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "I'm just here to see what's new this season." }, { "from": "gpt", "value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Clothing, Shoes & Jewelry\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "I'm looking for a gift, something like a bracelet or necklace. Suggestions?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Clothing, Shoes & Jewelry\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "What's the current best seller in smart home devices on Amazon?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 2, \"cat\": \"Electronics\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "I heard about smart kitchen scales; can you tell me more?" }, { "from": "gpt", "value": "{\"buy_inten\": 0, \"inten_level\": 1, \"cat\": \"Home & Kitchen\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Do you stock any interactive cat toys?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Pet Supplies\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "I'm redoing my kitchen, need some stylish yet functional items." }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Home & Kitchen\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "What are some must-have kitchen tools every home chef should own?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Home & Kitchen\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Can you list the components included in the Risk board game?" }, { "from": "gpt", "value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Toys & Games\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "I'm considering buying a robotic vacuum cleaner." }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Home & Kitchen\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "What's the best way to clean stainless steel appliances?" }, { "from": "gpt", "value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Home & Kitchen\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "I'm looking for a new dining set, something rustic. Seen anything like that?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Home & Kitchen\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Is it possible to get an extended warranty on electronic products from Amazon?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 2, \"cat\": \"Electronics\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Can you help me choose a puzzle for an adult?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 2, \"cat\": \"Toys & Games\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Good morning! I'm in need of new brake pads for my Toyota. Any recommendations?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Automotive\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "I'm in need of a formal dress for an upcoming wedding." }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Clothing, Shoes & Jewelry\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "I'm planning a camping trip and need a reliable tent. Any suggestions?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Sports & Outdoors\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "I'm curious, what's the return policy for kitchen appliances bought on Amazon?" }, { "from": "gpt", "value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"General\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "I'm looking for a gift within the baby care range. Any suggestions?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 2, \"cat\": \"Health, Household & Baby Care\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "My friend's kid loves dinosaurs. Any dino-themed games or toys?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Toys & Games\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "I'm looking for a vegan shampoo and conditioner set. Any in stock?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 2, \"cat\": \"Beauty & Personal Care\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Looking for a birthday present for my cat. Any unique toys?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Pet Supplies\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "I'm redoing my living room, need some modern but comfy furniture ideas." }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Home & Kitchen\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "What's the best-selling storage solutions on Amazon right now?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Home & Kitchen\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "What's the best lip balm for chapped lips available on Amazon?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Beauty & Personal Care\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Is there a good selection of plant pots on Amazon?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 2, \"cat\": \"Home & Kitchen\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Hello, I'm looking for a good deal on a chess set. Got any leads?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Toys & Games\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "Where can I buy reliable thermometers for children?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Health, Household & Baby Care\"}" } ]

[ { "from": "system", "value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format." }, { "from": "human", "value": "What should I look for when buying a new mattress?" }, { "from": "gpt", "value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Home & Kitchen\"}" } ]