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": "Is there a discount on any good hair straighteners currently?"
},
{
"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": "Can you help me find a portable projector for outdoor movies?"
},
{
"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 latest advancements in treadmill technology?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 0, \"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 need a birthday gift for my mother who loves cooking. Any 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": "I need a new tablecloth that's both elegant and durable, any 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": "I need a good shampoo for dry hair, 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'd like to find some unique wall art for my living room. Any suggestions?"
},
{
"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 can I improve the resale value of my car?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 0, \"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": "Hello, looking for a new hair straightener, any recommendations?"
},
{
"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": "Could you help me find some hypoallergenic bedding for my cat?"
},
{
"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": "Hi. Do you know if Amazon has offers on organic makeup products?"
},
{
"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": "What are the most purchased body washes 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": "Hello, I'm looking to buy a new board game for family night. Any 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 heard hyaluronic acid serums are good. Which ones do you recommend from 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": "I need a gift for a child who loves to draw, any ideas?"
},
{
"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": "Is there a difference in fit between brands?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 1, \"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": "Which drones are best for beginners and also budget-friendly?"
},
{
"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 new in the world of virtual reality devices?"
},
{
"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 heard about smart kitchen appliances. Worth the hype?"
},
{
"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 latest trend in pet toys?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 2, \"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": "Looking for some colorful binders for my projects, what do you have?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Office 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": "Hi, I'm looking for a new dinnerware set, something classic."
},
{
"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 blender for making smoothies?"
},
{
"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'm trying to find a nice pair of leather boots for the winter. Any suggestions?"
},
{
"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": "My son loves action figures, do you have any new arrivals?"
},
{
"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 assist me in finding a good strategy game for beginners?"
},
{
"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": "Do you know of any organic body washes that are good for sensitive skin?"
},
{
"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": "Hi there, do you have any hypoallergenic shampoos for cats?"
},
{
"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": "Need a new litter box that helps control odor. Any on sale?"
},
{
"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": "Do you know when there will be more stock for vintage watches?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"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": "I'm looking for a body scrub that's good for sensitive skin. Any tips?"
},
{
"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 heard there's a new expansion for Catan, what's in it?"
},
{
"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": "Do you have any affordable but reliable hiking boots?"
},
{
"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": "Can you explain how smart home devices integrate with each other?"
},
{
"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": "Show me options for gym wear that's both stylish and comfortable."
},
{
"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": "Can you guide me on how to set up a home surveillance system?"
},
{
"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": "Do you have any good deals on luxury watches?"
},
{
"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": "How can I improve indoor air quality for my baby?"
},
{
"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": "Can I schedule a time to talk to a consultant?"
},
{
"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": "How do I choose the right size collar for my cat?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 2, \"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": "Good morning, what's the newest model of the Apple iPad?"
},
{
"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": "I'm looking to buy a new beard oil, any recommendations?"
},
{
"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's the best hair conditioner 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": "Could you find me some affordable anti-aging face creams?"
},
{
"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 to buy a new desk lamp, any recommendations?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Office 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 advice on anti-aging products, please."
},
{
"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": "Hi there! Can you help me find some durable toys for a large dog?"
},
{
"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 something for streaming movies. Any advice?"
},
{
"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'm not sure which product is right for my skin type; can you advise?"
},
{
"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 vegan leather bags?"
},
{
"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": "Hi, I need a new nail polish remover that's gentle on the nails. Any suggestions?"
},
{
"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": "Looking for a birthday gift, something like a necklace. Any ideas?"
},
{
"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": "I'm looking for a gift for my friend's new puppy. Any ideas?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 2, \"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 looking for a new piece of statement jewelry, any unique pieces?"
},
{
"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": "Hey there, can you help me find some trendy sneakers on Amazon?"
},
{
"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 hiking trip and need to purchase some new boots and a backpack. Where should I start?"
},
{
"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": "Hello, could you find me the latest baby monitors?"
},
{
"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'm looking for a vitamin C supplement. Got any favorites?"
},
{
"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": "Hello, I'm looking for the best-rated microwave ovens. Any suggestions?"
},
{
"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": "Looking for a good protein powder, any thoughts?"
},
{
"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": "I need a new set of kitchen knives. 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": "I'm planning to buy some toys for a charity event, can you offer a discount for bulk purchases?"
},
{
"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": "What's the latest in eco-friendly office supplies?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Office 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": "Do you have any recommendations for a new electronic toothbrush?"
},
{
"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": "Looking for a gift set in the beauty section, preferably under $50. Any suggestions?"
},
{
"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": "Hey, do you know if there are any good deals on Amazon for wireless chargers?"
},
{
"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": "What's the best selling baby lotion these days?"
},
{
"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 a gift for a child who loves dinosaurs, any recommendations?"
},
{
"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 find the best prices on household cleaning gloves?"
},
{
"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": "Could you find me the best price for baby formula 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": "I need a new nail polish set, something vibrant for summer. Suggestions?"
},
{
"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": "Can you find me a good deal on bird feeders?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 2, \"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": "Can you suggest a reliable external hard drive I can purchase?"
},
{
"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'm looking for organic lip balms, any suggestions?"
},
{
"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": "Thanks for your help, I'll think about it and get back to you!"
},
{
"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": "Just wondering, what's the return policy for kitchen items 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": "Thank you for the information provided."
},
{
"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 find me the best deals on cat litter on Amazon right now?"
},
{
"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": "Which is better for fitness, cycling or jogging?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 0, \"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": "What are the best treats for training a young puppy?"
},
{
"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 a new laptop stand, preferably adjustable. Any recommendations?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Office 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, I need some new pens for my office. Any recommendations?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Office 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 just browsing today."
},
{
"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 need a new blender that can handle daily use. Any suggestions?"
},
{
"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'm looking to replace my old toaster, 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": "Do you carry vegan and cruelty-free skincare products?"
},
{
"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 to buy a new mascara that doesn't smudge. 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": "Are there any new exciting board games released recently?"
},
{
"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! Could you help me find some top-rated moisturizers?"
},
{
"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 about trying a new perfume, can you assist?"
},
{
"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": "Hello, can you help me find a backpack that's good for both hiking and daily use?"
},
{
"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": "Can you explain the benefits of silicone kitchen tools?"
},
{
"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": "What's a good portable stove for camping?"
},
{
"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 thinking of switching to natural cleaning products, any advice?"
},
{
"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": "Could you help me find a durable pair of headphones for my daily commute?"
},
{
"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 latest in car security systems?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 0, \"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": "Good afternoon, do you assist with pet-related queries?"
},
{
"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": "Looking for a new brand of vitamins that focus on boosting immunity. Any recommendations?"
},
{
"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": "Do all smart home devices require an internet connection?"
},
{
"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": "Can you recommend a sturdy stroller for newborns?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Health, Household & Baby Care\"}"
}
] |