conversations
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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\"}"
}
] |