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": "Hello, I'm looking for a new snowboard. Any recommendations?"
},
{
"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": "Looking for a waterproof mascara that can hold up in humidity. 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": "I'm thinking about getting a new laptop"
},
{
"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": "Hello, I'm interested in upgrading my camping gear. Any suggestions?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Sports & Outdoors\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Do you have any eco-friendly clothing brands you recommend?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Clothing, Shoes & Jewelry\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "What are the trending gadgets this month?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 2, \"cat\": \"Electronics\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Which brands offer the best warranty for electronics on Amazon?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 2, \"cat\": \"Electronics\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Hi, can you check if there are any upcoming sales on laptops on Amazon?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 2, \"cat\": \"Electronics\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "What are the best-selling winter coats on Amazon right now?"
},
{
"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": "Good morning, I'm looking for some new kitchen tools to buy."
},
{
"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 want to buy a new set of pots and pans, what do you recommend?"
},
{
"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 redecorating my home office, need some modern decor ideas that I can buy."
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Home & Kitchen\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "What are the top perfumes for women this year?"
},
{
"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": "Do you have any creative storage solutions for bathrooms?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Home & Kitchen\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I'm curious, what's the best reviewed air fryer available?"
},
{
"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 for a planner and calendar set to organize my schedules, 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": "Can you recommend a gift for a 10-year-old who loves science?"
},
{
"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 find me a good air purifier for my home?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Health, Household & Baby Care\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I'm redoing my living room and need some modern decor pieces."
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Home & Kitchen\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Can I get a custom engraving on a bracelet I want to purchase?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Clothing, Shoes & Jewelry\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Could you recommend some durable earphones suitable for running?"
},
{
"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 are the top-rated mascaras right now?"
},
{
"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": "Hey, I heard you can help with finding sports apparel. Need some for my gym workouts."
},
{
"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 need some good quality nail polish, can you help?"
},
{
"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, could you find me the best baby strollers under $200?"
},
{
"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 set of cookware, any brands you'd recommend?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Home & Kitchen\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Hello, I need a new toner that won't dry out my 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": "I'm curious about the latest trends in nail art. What can you show me?"
},
{
"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": "Are there any good deals on facial cleansers?"
},
{
"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": "I heard about a new game that just came out; do you have it in stock?"
},
{
"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": "What are the best security cameras available on Amazon?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I need to restock my first aid kit. What do you recommend?"
},
{
"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": "Is there a discount on air purifiers currently?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Home & Kitchen\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Can you find me a deal on a 4K TV?"
},
{
"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": "Do you have any eco-friendly makeup options?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Beauty & Personal Care\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I'm just looking around for now."
},
{
"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": "Could you explain the benefits of OLED vs. LED TVs?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Electronics\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Is there a sale coming up soon on beauty items?"
},
{
"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": "Hey, can I get help with finding a gift for a tech enthusiast?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 2, \"cat\": \"Electronics\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Is there a significant improvement in the latest smartphones?"
},
{
"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": "Could you help me find the latest in ergonomic keyboards?"
},
{
"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 a new sleeping bag that can handle very cold temperatures. Any ideas?"
},
{
"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 recommend a reliable car battery available on Amazon?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Automotive\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Can you check if there are any discounts on Bluetooth earbuds?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 3, \"cat\": \"Electronics\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "What's the best-selling game console right now?"
},
{
"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": "Good morning! Could you help me find some organic 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": "Hey, do you know if Amazon has any deals on kitchen gadgets today?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 2, \"cat\": \"Home & Kitchen\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Are chew toys really safe for puppies?"
},
{
"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": "What are the top-rated jump starters on the market?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Automotive\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I'm looking to purchase a high-quality juicer, what are my options?"
},
{
"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 for a durable external hard drive. Any recommendations?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Can I get help with finding a formal suit for an upcoming conference?"
},
{
"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": "Hi, I'm curious about the best diaper brands available."
},
{
"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": "Can you recommend a reliable thermometer for home use?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Health, Household & Baby Care\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Could you find me the latest action figures from the Marvel series?"
},
{
"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": "What are the most popular office chairs right now?"
},
{
"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": "Are there any discounts on bulk purchases for sports equipment?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 2, \"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 difference between BB cream and CC cream?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"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": "Do you have any chewable vitamins for kids?"
},
{
"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 interested in some new gadgets for my kitchen. 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": "Hi, can you help me find some high-quality car seat covers?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Automotive\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "I'm curious about what colors are trending this season."
},
{
"from": "gpt",
"value": "{\"buy_inten\": 0, \"inten_level\": 0, \"cat\": \"Clothing, Shoes & Jewelry\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Could you explain the difference between serum and moisturizer?"
},
{
"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": "Need a new set of cookware, preferably non-stick. 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": "Hey! Just browsing for some new gym apparel. Any recommendations?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 2, \"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": "Do you have any recommendations for durable dinnerware?"
},
{
"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 set of pots and pans, preferably non-stick. What do you recommend?"
},
{
"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 thinking about upgrading my home theater system. What do you have?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "What's the best hair conditioner available right now?"
},
{
"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 on the lookout for a new e-reader that's easy on the eyes, any suggestions?"
},
{
"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": "Hi! I need some casual shirts that are good for summer."
},
{
"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": "Could you find me the best deals on LEGO sets?"
},
{
"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": "What's the latest in organic baby foods 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've heard about wireless charging pads; are they worth it?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 2, \"cat\": \"Electronics\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "What are some critical skills children can develop from playing with toys?"
},
{
"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": "Could you recommend a gentle facial cleanser for acne-prone 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": "What are some good options for vegan skincare 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": "Can I get a comparison of the top-rated backpacks for backpacking?"
},
{
"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 interested in buying some smart home devices to upgrade my place."
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Home & Kitchen\"}"
}
] |
[
{
"from": "system",
"value": "You are a smart assistant trained to detect buying intentions in a user's text. When given a user's input, you will respond in JSON format with three fields: \"buy_inten\", \"inten_level\", and \"cat\". \"buy_inten\" indicates whether there is a buying intention in the user's text. It should be 1 if there is a buying intention and 0 if there is not. \"inten_level\" represents the level of buying intention on a scale from 0 to 5, where 0 means no buying intention and 5 is the highest buying intention. \"cat\" specifies the category of the text, which could be any of the following: [\"Home & Kitchen\", \"Beauty & Personal Care\", \"Electronics\", \"Clothing, Shoes & Jewelry\", \"Toys & Games\", \"Health, Household & Baby Care\", \"Sports & Outdoors\", \"Pet Supplies\", \"Office Supplies\", \"Automotive\", \"General\"]. The category is selected as \"General\" when there is no exclusive category that can be found among others. For example, given the user's text: \"I'm looking for a new laptop,\" the JSON response should be: {\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}. Ensure that your analysis is accurate and the JSON response strictly follows the specified format."
},
{
"from": "human",
"value": "Can you recommend a fashionable backpack for college students?"
},
{
"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": "Do you offer warranties on office chairs?"
},
{
"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 interested in the latest iPad. Do you have it available?"
},
{
"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 interested in upgrading my sound system. What do you suggest?"
},
{
"from": "gpt",
"value": "{\"buy_inten\": 1, \"inten_level\": 4, \"cat\": \"Electronics\"}"
}
] |