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[
{
"content": "What is the boiling point of water?",
"role": "user"
},
{
"content": "The boiling point of water is 100 degrees Celsius (212 degrees Fahrenheit) at standard atmospheric pressure. However, this temperature can vary depending on the surrounding pressure. For instance, at higher altitudes where the air pressure is lower, the boiling point of water decreases. Conversely, at higher pressures, the boiling point increases.",
"role": "assistant"
},
{
"content": "What is the freezing point of water?",
"role": "user"
},
{
"content": "The freezing point of water is 0 degrees Celsius (32 degrees Fahrenheit) at standard atmospheric pressure. Similar to the boiling point, the freezing point of water can also vary slightly under different pressure conditions, but 0 degrees Celsius is the standard value commonly used as a reference point.",
"role": "assistant"
}
] |
information-seeking
|
meta-llama/Meta-Llama-3.1-8B-Instruct
|
What is the boiling point of water?
|
The user wants to know the physical property of a substance (water)
|
The boiling point of water, which is a fundamental concept in chemistry and physics.
|
very easy
|
meta-llama/Meta-Llama-3.1-8B-Instruct
|
The query is clear and concise, but it lacks any context or additional information. It is a simple question that can be easily answered, but it does not demonstrate a high level of specificity or complexity. The query is well-formed and easy to understand, but it does not provide any background or context that would make it stand out as particularly well-crafted.
|
average
|
meta-llama/Meta-Llama-3.1-8B-Instruct
|
Information seeking
|
[] |
Alibaba-NLP/gte-large-en-v1.5
|
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meta-llama/Llama-Guard-3-8B
|
safe
|
{
"raw_input_assign_tags_0": [
{
"content": "# Instruction\n\nYou first need to identify the given user intent and then label the difficulty level of the user query based on the content of the user query.\n\n## User Query\n```\nWhat is the boiling point of water?\n```\n\n## Output Format\nGiven the user query, in your output, you first need to identify the user intent and the knowledge needed to solve the task in the user query.\nThen, rate the difficulty level of the user query as `very easy`, `easy`, `medium`, `hard`, or `very hard`.\n\nNow, please output the user intent and difficulty level below in a json format by filling in the placeholders in []:\n```\n{\n \"intent\": \"The user wants to [....]\",\n \"knowledge\": \"To solve this problem, the models need to know [....]\",\n \"difficulty\": \"[very easy/easy/medium/hard/very hard]\"\n}\n```\n",
"role": "user"
}
],
"raw_input_assign_tags_1": [
{
"content": "# Instruction\n\nYou need to rate the quality of the user query based on its clarity, specificity, and coherence.\n\nThe rating scale is as follows:\n\n- very poor: The query is unclear, vague, or incoherent. It lacks essential information and context.\n- poor: The query is somewhat unclear or lacks important details. It requires significant clarification.\n- average: The query is moderately clear and specific. It may require some additional information for a complete understanding.\n- good: The query is clear, specific, and mostly well-formed. It provides sufficient context for understanding the user's intent.\n- excellent: The query is very clear, specific, and well-articulated. It contains all the necessary information and context for providing a comprehensive response.\n\n## User Query\n```\nWhat is the boiling point of water?\n```\n\n## Output Format\nGiven the user query, you first need to give an assesement, highlighting the strengths and/or weaknesses of the user query.\nThen, you need to output a rating from very poor to excellent by filling in the placeholders in [...]:\n```\n{\n \"explanation\": \"[...]\",\n \"quality\": \"[very poor/poor/average/good/excellent]\"\n}\n```\n",
"role": "user"
}
],
"raw_input_assign_tags_2": [
{
"content": "\n# Instruction\n\nPlease label the task tags for the user query.\n\n## User Query\n```\nWhat is the boiling point of water?\n```\n\n## Tagging the user input\nPlease label the task tags for the user query. You will need to analyze the user query and select the most relevant task tag from the list below.\n\nall_task_tags = [\n \"Information seeking\", # Users ask for specific information or facts about various topics.\n \"Reasoning\", # Queries require logical thinking, problem-solving, or processing of complex ideas.\n \"Planning\", # Users need assistance in creating plans or strategies for activities and projects.\n \"Editing\", # Involves editing, rephrasing, proofreading, or other tasks related to the composition of general written content.\n \"Coding & Debugging\", # Users seek help with writing, reviewing, or fixing code in programming.\n \"Math\", # Queries related to mathematical concepts, problems, and calculations.\n \"Role playing\", # Users engage in scenarios requiring ChatGPT to adopt a character or persona.\n \"Data analysis\", # Requests involve interpreting data, statistics, or performing analytical tasks.\n \"Creative writing\", # Users seek assistance with crafting stories, poems, or other creative texts. \n \"Advice seeking\", # Users ask for recommendations or guidance on various personal or professional issues.\n \"Brainstorming\", # Involves generating ideas, creative thinking, or exploring possibilities. \n \"Others\" # Any queries that do not fit into the above categories or are of a miscellaneous nature.\n]\n\n## Output Format:\nNote that you can only select a single primary tag. Other applicable tags can be added to the list of other tags.\nNow, please output your tags below in a json format by filling in the placeholders in <...>:\n```\n{\n \"primary_tag\": \"<primary tag>\",\n \"other_tags\": [\"<tag 1>\", \"<tag 2>\", ... ]\n}\n```\n",
"role": "user"
}
],
"raw_input_chat_generation_0": [
{
"content": "What is the boiling point of water?",
"role": "user"
},
{
"content": "The boiling point of water is 100 degrees Celsius (212 degrees Fahrenheit) at standard atmospheric pressure. However, this temperature can vary depending on the surrounding pressure. For instance, at higher altitudes where the air pressure is lower, the boiling point of water decreases. Conversely, at higher pressures, the boiling point increases.",
"role": "assistant"
},
{
"content": "What is the freezing point of water?",
"role": "user"
},
{
"content": "The freezing point of water is 0 degrees Celsius (32 degrees Fahrenheit) at standard atmospheric pressure. Similar to the boiling point, the freezing point of water can also vary slightly under different pressure conditions, but 0 degrees Celsius is the standard value commonly used as a reference point.",
"role": "assistant"
},
{
"content": "What is the density of water?",
"role": "user"
},
{
"content": "The density of water is approximately 1 gram per milliliter (g/mL) or 1 kilogram per liter (kg/L) at its standard temperature of 4 degrees Celsius (39.2 degrees Fahrenheit) and standard atmospheric pressure. This density can vary slightly depending on temperature, with the maximum density occurring at 4 degrees Celsius. At other temperatures, the density of water will be slightly lower.",
"role": "assistant"
}
],
"raw_output_assign_tags_0": "{ \"intent\": \"The user wants to know the physical property of a substance (water)\", \"knowledge\": \"The boiling point of water, which is a fundamental concept in chemistry and physics.\", \"difficulty\": \"very easy\" }",
"raw_output_assign_tags_1": "{ \"explanation\": \"The query is clear and concise, but it lacks any context or additional information. It is a simple question that can be easily answered, but it does not demonstrate a high level of specificity or complexity. The query is well-formed and easy to understand, but it does not provide any background or context that would make it stand out as particularly well-crafted.\", \"quality\": \"average\" }",
"raw_output_assign_tags_2": "{ \"primary_tag\": \"Information seeking\", \"other_tags\": [] }",
"raw_output_chat_generation_0": "\n\nsafe"
}
|
[
35
] |
[
0.9999998807907104
] | 0.111528
| true
| null |
[
{
"content": "Using only the letters of PROBABILITY, make 5 new words that can be formed using the letters of PROBABILITY.",
"role": "user"
},
{
"content": "Using the letters of PROBABILITY, we can form the following five new words:\n\nFirst, we can form the word \"Tap\" by combining the letters T, A, and P.\n\nNext, the letters P, R, O, and B can be rearranged to spell the word \"Prob\".\n\nThe word \"Trip\" can also be formed by using the letters T, R, I, and P.\n\nAnother possible word is \"Lab\", which can be created by combining the letters L, A, and B.\n\nLastly, we can spell the word \"Try\" using the letters T, R, and Y.",
"role": "assistant"
},
{
"content": "Which is more probable? odds are 5050 or 60-40 probability percentage?",
"role": "user"
},
{
"content": "When comparing the two, a 60-40 probability percentage is not a 50-50 chance, as there is a 10 percentage point difference between the two outcomes (60% for one outcome and 40% for the other).\n\nIn contrast, a 50-50 chance, as indicated by the phrase \"odds are 50-50\", implies that both outcomes are equally likely, with no bias towards either one.\n\nConsidering this, if you had to choose, the 50-50 odds would imply a more uncertain outcome, as the probability is evenly split between the two possibilities. On the other hand, the 60-40 probability percentage gives a slight edge to one outcome over the other.\n\nTherefore, if you had to determine which outcome is more probable, you would say that the 60% outcome in the 60-40 scenario is more probable than either outcome in the 50-50 scenario.",
"role": "assistant"
}
] |
reasoning
|
meta-llama/Meta-Llama-3.1-8B-Instruct
|
Using only the letters of PROBABILITY, make 5 new words that can be formed using the letters of PROBABILITY.
|
The user wants to generate new words from a given set of letters
|
To solve this problem, the models need to know about word formation, letter combinations, and possibly word lists or dictionaries
|
medium
|
meta-llama/Meta-Llama-3.1-8B-Instruct
|
The query is clear and specific about the task, which is to form new words using the letters of the word PROBABILITY. It also provides the necessary context by specifying the word from which the letters should be taken. However, it does not provide any additional information or constraints, which might be useful for a more comprehensive response. The query is well-articulated and easy to understand.
|
good
|
meta-llama/Meta-Llama-3.1-8B-Instruct
|
Brainstorming
|
[
"Creative writing",
"Others"
] |
Alibaba-NLP/gte-large-en-v1.5
|
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meta-llama/Llama-Guard-3-8B
|
safe
|
{
"raw_input_assign_tags_0": [
{
"content": "# Instruction\n\nYou first need to identify the given user intent and then label the difficulty level of the user query based on the content of the user query.\n\n## User Query\n```\nUsing only the letters of PROBABILITY, make 5 new words that can be formed using the letters of PROBABILITY.\n```\n\n## Output Format\nGiven the user query, in your output, you first need to identify the user intent and the knowledge needed to solve the task in the user query.\nThen, rate the difficulty level of the user query as `very easy`, `easy`, `medium`, `hard`, or `very hard`.\n\nNow, please output the user intent and difficulty level below in a json format by filling in the placeholders in []:\n```\n{\n \"intent\": \"The user wants to [....]\",\n \"knowledge\": \"To solve this problem, the models need to know [....]\",\n \"difficulty\": \"[very easy/easy/medium/hard/very hard]\"\n}\n```\n",
"role": "user"
}
],
"raw_input_assign_tags_1": [
{
"content": "# Instruction\n\nYou need to rate the quality of the user query based on its clarity, specificity, and coherence.\n\nThe rating scale is as follows:\n\n- very poor: The query is unclear, vague, or incoherent. It lacks essential information and context.\n- poor: The query is somewhat unclear or lacks important details. It requires significant clarification.\n- average: The query is moderately clear and specific. It may require some additional information for a complete understanding.\n- good: The query is clear, specific, and mostly well-formed. It provides sufficient context for understanding the user's intent.\n- excellent: The query is very clear, specific, and well-articulated. It contains all the necessary information and context for providing a comprehensive response.\n\n## User Query\n```\nUsing only the letters of PROBABILITY, make 5 new words that can be formed using the letters of PROBABILITY.\n```\n\n## Output Format\nGiven the user query, you first need to give an assesement, highlighting the strengths and/or weaknesses of the user query.\nThen, you need to output a rating from very poor to excellent by filling in the placeholders in [...]:\n```\n{\n \"explanation\": \"[...]\",\n \"quality\": \"[very poor/poor/average/good/excellent]\"\n}\n```\n",
"role": "user"
}
],
"raw_input_assign_tags_2": [
{
"content": "\n# Instruction\n\nPlease label the task tags for the user query.\n\n## User Query\n```\nUsing only the letters of PROBABILITY, make 5 new words that can be formed using the letters of PROBABILITY.\n```\n\n## Tagging the user input\nPlease label the task tags for the user query. You will need to analyze the user query and select the most relevant task tag from the list below.\n\nall_task_tags = [\n \"Information seeking\", # Users ask for specific information or facts about various topics.\n \"Reasoning\", # Queries require logical thinking, problem-solving, or processing of complex ideas.\n \"Planning\", # Users need assistance in creating plans or strategies for activities and projects.\n \"Editing\", # Involves editing, rephrasing, proofreading, or other tasks related to the composition of general written content.\n \"Coding & Debugging\", # Users seek help with writing, reviewing, or fixing code in programming.\n \"Math\", # Queries related to mathematical concepts, problems, and calculations.\n \"Role playing\", # Users engage in scenarios requiring ChatGPT to adopt a character or persona.\n \"Data analysis\", # Requests involve interpreting data, statistics, or performing analytical tasks.\n \"Creative writing\", # Users seek assistance with crafting stories, poems, or other creative texts. \n \"Advice seeking\", # Users ask for recommendations or guidance on various personal or professional issues.\n \"Brainstorming\", # Involves generating ideas, creative thinking, or exploring possibilities. \n \"Others\" # Any queries that do not fit into the above categories or are of a miscellaneous nature.\n]\n\n## Output Format:\nNote that you can only select a single primary tag. Other applicable tags can be added to the list of other tags.\nNow, please output your tags below in a json format by filling in the placeholders in <...>:\n```\n{\n \"primary_tag\": \"<primary tag>\",\n \"other_tags\": [\"<tag 1>\", \"<tag 2>\", ... ]\n}\n```\n",
"role": "user"
}
],
"raw_input_chat_generation_0": [
{
"content": "Using only the letters of PROBABILITY, make 5 new words that can be formed using the letters of PROBABILITY.",
"role": "user"
},
{
"content": "Using the letters of PROBABILITY, we can form the following five new words:\n\nFirst, we can form the word \"Tap\" by combining the letters T, A, and P.\n\nNext, the letters P, R, O, and B can be rearranged to spell the word \"Prob\".\n\nThe word \"Trip\" can also be formed by using the letters T, R, I, and P.\n\nAnother possible word is \"Lab\", which can be created by combining the letters L, A, and B.\n\nLastly, we can spell the word \"Try\" using the letters T, R, and Y.",
"role": "assistant"
},
{
"content": "Which is more probable? odds are 5050 or 60-40 probability percentage?",
"role": "user"
},
{
"content": "When comparing the two, a 60-40 probability percentage is not a 50-50 chance, as there is a 10 percentage point difference between the two outcomes (60% for one outcome and 40% for the other).\n\nIn contrast, a 50-50 chance, as indicated by the phrase \"odds are 50-50\", implies that both outcomes are equally likely, with no bias towards either one.\n\nConsidering this, if you had to choose, the 50-50 odds would imply a more uncertain outcome, as the probability is evenly split between the two possibilities. On the other hand, the 60-40 probability percentage gives a slight edge to one outcome over the other.\n\nTherefore, if you had to determine which outcome is more probable, you would say that the 60% outcome in the 60-40 scenario is more probable than either outcome in the 50-50 scenario.",
"role": "assistant"
},
{
"content": "What is the probability expressed as a percentage of 3/4?",
"role": "user"
},
{
"content": "To express the probability 3/4 as a percentage, we need to first convert the fraction to a decimal by dividing the numerator (3) by the denominator (4). \n\n3 ÷ 4 = 0.75\n\nTo convert this decimal to a percentage, we multiply it by 100.\n\n0.75 * 100 = 75%\n\nTherefore, the probability 3/4 expressed as a percentage is 75%.",
"role": "assistant"
}
],
"raw_output_assign_tags_0": "{ \"intent\": \"The user wants to generate new words from a given set of letters\", \"knowledge\": \"To solve this problem, the models need to know about word formation, letter combinations, and possibly word lists or dictionaries\", \"difficulty\": \"medium\" }",
"raw_output_assign_tags_1": "{ \"explanation\": \"The query is clear and specific about the task, which is to form new words using the letters of the word PROBABILITY. It also provides the necessary context by specifying the word from which the letters should be taken. However, it does not provide any additional information or constraints, which might be useful for a more comprehensive response. The query is well-articulated and easy to understand.\", \"quality\": \"good\" }",
"raw_output_assign_tags_2": "{\"primary_tag\": \"Brainstorming\", \"other_tags\": [\"Creative writing\", \"Others\"]}",
"raw_output_chat_generation_0": "\n\nsafe"
}
|
[
5052
] |
[
0.9754282832145691
] | 0.173539
| true
| null |
[
{
"content": "You are a woman with 25 years of experience fish farming in Scotland and you're in a business meeting with a retailer to discuss your products and to try and close a deal with them to stock your produce.",
"role": "user"
},
{
"content": "Good morning, it's lovely to meet you. I'm Morven, from Glenmor Fish Farms, and I appreciate you taking the time to meet with me today. Our farm has been producing high-quality, sustainable seafood for 25 years, and I believe our products would be a fantastic addition to your stores.\n\nWe specialize in Atlantic salmon, mussels, and oysters, all of which are farmed in the pristine waters of western Scotland. Our focus on environmental stewardship and animal welfare ensures that our produce not only tastes exceptional but also aligns with the growing demand for eco-friendly and responsible food choices.\n\nI've brought some samples for you to try, and I'd be delighted to discuss how we can work together to bring the best of Scotland's seafood to your customers. Shall we start with the salmon? We have a variety of options, including our award-winning organic and non-organic ranges. Which aspect of our products would you like to explore first?",
"role": "assistant"
},
{
"content": "What part of Scotland are you from?",
"role": "user"
},
{
"content": "I'm from the west coast, near Oban in Argyll. It's a beautiful part of the country, with crystal-clear waters and a rich marine heritage. Our farm is situated in a secluded sea loch, which provides a unique and sheltered environment for our fish and shellfish to thrive. The area is steeped in history and tradition, and I feel lucky to be able to call it home.\n\nIn fact, my family has been involved in fishing and aquaculture in the area for generations, so it's a way of life that's very close to my heart. I think that passion and dedication to our craft really shines through in the quality of our products. Would you like to try some of our salmon, smoked to perfection using a traditional recipe that's been passed down through my family?",
"role": "assistant"
}
] |
role-playing
|
meta-llama/Meta-Llama-3.1-8B-Instruct
|
You are a woman with 25 years of experience fish farming in Scotland and you're in a business meeting with a retailer to discuss your products and to try and close a deal with them to stock your produce.
|
The user wants to close a deal with a retailer to stock their fish farming products
|
To solve this problem, the models need to know about fish farming, the products being sold, the business of the retailer, and the process of closing a deal in a business setting
|
medium
|
meta-llama/Meta-Llama-3.1-8B-Instruct
|
The query is clear and specific about the context (a business meeting between a woman with experience in fish farming and a retailer) but lacks a specific question or request. It seems to be setting up a scenario rather than asking a question. However, it provides sufficient context for understanding the user's intent, which is to discuss and potentially close a deal with the retailer.
|
good
|
meta-llama/Meta-Llama-3.1-8B-Instruct
|
Role playing
|
[
"Planning",
"Advice seeking"
] |
Alibaba-NLP/gte-large-en-v1.5
|
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meta-llama/Llama-Guard-3-8B
|
safe
|
{
"raw_input_assign_tags_0": [
{
"content": "# Instruction\n\nYou first need to identify the given user intent and then label the difficulty level of the user query based on the content of the user query.\n\n## User Query\n```\nYou are a woman with 25 years of experience fish farming in Scotland and you're in a business meeting with a retailer to discuss your products and to try and close a deal with them to stock your produce.\n```\n\n## Output Format\nGiven the user query, in your output, you first need to identify the user intent and the knowledge needed to solve the task in the user query.\nThen, rate the difficulty level of the user query as `very easy`, `easy`, `medium`, `hard`, or `very hard`.\n\nNow, please output the user intent and difficulty level below in a json format by filling in the placeholders in []:\n```\n{\n \"intent\": \"The user wants to [....]\",\n \"knowledge\": \"To solve this problem, the models need to know [....]\",\n \"difficulty\": \"[very easy/easy/medium/hard/very hard]\"\n}\n```\n",
"role": "user"
}
],
"raw_input_assign_tags_1": [
{
"content": "# Instruction\n\nYou need to rate the quality of the user query based on its clarity, specificity, and coherence.\n\nThe rating scale is as follows:\n\n- very poor: The query is unclear, vague, or incoherent. It lacks essential information and context.\n- poor: The query is somewhat unclear or lacks important details. It requires significant clarification.\n- average: The query is moderately clear and specific. It may require some additional information for a complete understanding.\n- good: The query is clear, specific, and mostly well-formed. It provides sufficient context for understanding the user's intent.\n- excellent: The query is very clear, specific, and well-articulated. It contains all the necessary information and context for providing a comprehensive response.\n\n## User Query\n```\nYou are a woman with 25 years of experience fish farming in Scotland and you're in a business meeting with a retailer to discuss your products and to try and close a deal with them to stock your produce.\n```\n\n## Output Format\nGiven the user query, you first need to give an assesement, highlighting the strengths and/or weaknesses of the user query.\nThen, you need to output a rating from very poor to excellent by filling in the placeholders in [...]:\n```\n{\n \"explanation\": \"[...]\",\n \"quality\": \"[very poor/poor/average/good/excellent]\"\n}\n```\n",
"role": "user"
}
],
"raw_input_assign_tags_2": [
{
"content": "\n# Instruction\n\nPlease label the task tags for the user query.\n\n## User Query\n```\nYou are a woman with 25 years of experience fish farming in Scotland and you're in a business meeting with a retailer to discuss your products and to try and close a deal with them to stock your produce.\n```\n\n## Tagging the user input\nPlease label the task tags for the user query. You will need to analyze the user query and select the most relevant task tag from the list below.\n\nall_task_tags = [\n \"Information seeking\", # Users ask for specific information or facts about various topics.\n \"Reasoning\", # Queries require logical thinking, problem-solving, or processing of complex ideas.\n \"Planning\", # Users need assistance in creating plans or strategies for activities and projects.\n \"Editing\", # Involves editing, rephrasing, proofreading, or other tasks related to the composition of general written content.\n \"Coding & Debugging\", # Users seek help with writing, reviewing, or fixing code in programming.\n \"Math\", # Queries related to mathematical concepts, problems, and calculations.\n \"Role playing\", # Users engage in scenarios requiring ChatGPT to adopt a character or persona.\n \"Data analysis\", # Requests involve interpreting data, statistics, or performing analytical tasks.\n \"Creative writing\", # Users seek assistance with crafting stories, poems, or other creative texts. \n \"Advice seeking\", # Users ask for recommendations or guidance on various personal or professional issues.\n \"Brainstorming\", # Involves generating ideas, creative thinking, or exploring possibilities. \n \"Others\" # Any queries that do not fit into the above categories or are of a miscellaneous nature.\n]\n\n## Output Format:\nNote that you can only select a single primary tag. Other applicable tags can be added to the list of other tags.\nNow, please output your tags below in a json format by filling in the placeholders in <...>:\n```\n{\n \"primary_tag\": \"<primary tag>\",\n \"other_tags\": [\"<tag 1>\", \"<tag 2>\", ... ]\n}\n```\n",
"role": "user"
}
],
"raw_input_chat_generation_0": [
{
"content": "You are a woman with 25 years of experience fish farming in Scotland and you're in a business meeting with a retailer to discuss your products and to try and close a deal with them to stock your produce.",
"role": "user"
},
{
"content": "Good morning, it's lovely to meet you. I'm Morven, from Glenmor Fish Farms, and I appreciate you taking the time to meet with me today. Our farm has been producing high-quality, sustainable seafood for 25 years, and I believe our products would be a fantastic addition to your stores.\n\nWe specialize in Atlantic salmon, mussels, and oysters, all of which are farmed in the pristine waters of western Scotland. Our focus on environmental stewardship and animal welfare ensures that our produce not only tastes exceptional but also aligns with the growing demand for eco-friendly and responsible food choices.\n\nI've brought some samples for you to try, and I'd be delighted to discuss how we can work together to bring the best of Scotland's seafood to your customers. Shall we start with the salmon? We have a variety of options, including our award-winning organic and non-organic ranges. Which aspect of our products would you like to explore first?",
"role": "assistant"
},
{
"content": "What part of Scotland are you from?",
"role": "user"
},
{
"content": "I'm from the west coast, near Oban in Argyll. It's a beautiful part of the country, with crystal-clear waters and a rich marine heritage. Our farm is situated in a secluded sea loch, which provides a unique and sheltered environment for our fish and shellfish to thrive. The area is steeped in history and tradition, and I feel lucky to be able to call it home.\n\nIn fact, my family has been involved in fishing and aquaculture in the area for generations, so it's a way of life that's very close to my heart. I think that passion and dedication to our craft really shines through in the quality of our products. Would you like to try some of our salmon, smoked to perfection using a traditional recipe that's been passed down through my family?",
"role": "assistant"
},
{
"content": "Your smoked salmon looks very nice and this Packaging looks abnormal for smoked salmon. So how do you package it up and what is the exact weight range I would receive?",
"role": "user"
},
{
"content": "Our packaging is a bit different, isn't it? We've invested in a state-of-the-art vacuum-packing system that removes as much air as possible from the package, which helps preserve the delicate flavor and texture of the smoked salmon. The result is a product that stays fresher for longer and has a more vibrant color.\n\nIn terms of packaging options, we offer a range of sizes to suit different retail needs. For smoked salmon, our standard packs are 100g, 200g, and 400g, although we can accommodate custom sizes if needed. The packs are all individually sealed and labeled with the weight, product name, and our company logo.\n\nWhen it comes to the weight range, we aim to be as precise as possible, but to account for natural variations in the size of the fish, we allow a 5% margin either way. So, for example, our 100g packs will typically weigh between 95g and 105g.\n\nFor retailers, we usually supply our products in cases of 6 or 12 packs, depending on the size. This helps keep the products organized and easy to manage in-store. We can also provide point-of-sale materials, such as display stands and product information cards, to help showcase our products in the best possible light.\n\nWould you like to discuss pricing and potential order quantities? I have some figures prepared that I can share with you.",
"role": "assistant"
}
],
"raw_output_assign_tags_0": "{ \"intent\": \"The user wants to close a deal with a retailer to stock their fish farming products\", \"knowledge\": \"To solve this problem, the models need to know about fish farming, the products being sold, the business of the retailer, and the process of closing a deal in a business setting\", \"difficulty\": \"medium\" }",
"raw_output_assign_tags_1": "{ \"explanation\": \"The query is clear and specific about the context (a business meeting between a woman with experience in fish farming and a retailer) but lacks a specific question or request. It seems to be setting up a scenario rather than asking a question. However, it provides sufficient context for understanding the user's intent, which is to discuss and potentially close a deal with the retailer.\", \"quality\": \"good\" }",
"raw_output_assign_tags_2": "{ \"primary_tag\": \"Role playing\", \"other_tags\": [\"Advice seeking\", \"Planning\"] }",
"raw_output_chat_generation_0": "\n\nsafe"
}
|
[
3068
] |
[
0.7820719480514526
] | 0.17971
| true
| null |
[
{
"content": "This sentence is wordy: \"The classified nature of the CIA report makes the determination of whether or not the organization was ultimately successful in their endeavors an exceptionally difficult task.\" How would you simplify it? \n\n(I know I gave you just a single sentence but this is how our conversation will work, I think.)",
"role": "user"
},
{
"content": "That sentence can be simplified while still conveying the same information. Here's a revised version: \"The CIA report's classified nature makes it difficult to determine the organization's ultimate success.\"\n\nI removed the phrase \"whether or not,\" which can often be replaced with a simpler construction. I also condensed the phrase \"in their endeavors,\" as it's implied that we're discussing the organization's efforts. Finally, I used the phrase \"ultimate success\" to preserve the original meaning while making the sentence more concise. This change should improve the sentence's clarity and flow.",
"role": "assistant"
},
{
"content": "What about this one: \"It is uncertain what specifically caused the economic downturn but it is theorized that the sudden loss of numerous jobs in the manufacturing industry is what ultimately led to the economic downturn.\"",
"role": "user"
},
{
"content": "This sentence can be tightened up for better flow and clarity. Here's a revised version: \"The cause of the economic downturn is uncertain, but it's believed that the sudden loss of manufacturing jobs was a key factor.\"\n\nI removed the redundancy of mentioning \"economic downturn\" twice, and instead used a more concise phrase to convey the idea. I also replaced \"it is theorized\" with \"it's believed,\" which is a more straightforward way to express the idea. Additionally, I removed \"what specifically\" and \"ultimately,\" as they don't add much to the sentence's meaning. The result is a more concise and direct sentence that still conveys the same information.",
"role": "assistant"
}
] |
editing
|
meta-llama/Meta-Llama-3.1-8B-Instruct
|
This sentence is wordy: "The classified nature of the CIA report makes the determination of whether or not the organization was ultimately successful in their endeavors an exceptionally difficult task." How would you simplify it?
(I know I gave you just a single sentence but this is how our conversation will work, I think.)
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The user wants to simplify a given sentence
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To solve this problem, the models need to know how to identify and rephrase complex sentences, possibly using natural language processing and text simplification techniques.
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medium
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meta-llama/Meta-Llama-3.1-8B-Instruct
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The query is clear and specific, asking for a simplification of a given sentence. It provides the sentence to be simplified and mentions the context of the conversation. However, it could be more concise and directly state the purpose of the simplification. The user also mentions that this is the start of a conversation, which implies that they are expecting a response and possibly further interaction.
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good
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meta-llama/Meta-Llama-3.1-8B-Instruct
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Editing
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[
"Information seeking"
] |
Alibaba-NLP/gte-large-en-v1.5
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meta-llama/Llama-Guard-3-8B
|
safe
|
{
"raw_input_assign_tags_0": [
{
"content": "# Instruction\n\nYou first need to identify the given user intent and then label the difficulty level of the user query based on the content of the user query.\n\n## User Query\n```\nThis sentence is wordy: \"The classified nature of the CIA report makes the determination of whether or not the organization was ultimately successful in their endeavors an exceptionally difficult task.\" How would you simplify it? \n\n(I know I gave you just a single sentence but this is how our conversation will work, I think.)\n```\n\n## Output Format\nGiven the user query, in your output, you first need to identify the user intent and the knowledge needed to solve the task in the user query.\nThen, rate the difficulty level of the user query as `very easy`, `easy`, `medium`, `hard`, or `very hard`.\n\nNow, please output the user intent and difficulty level below in a json format by filling in the placeholders in []:\n```\n{\n \"intent\": \"The user wants to [....]\",\n \"knowledge\": \"To solve this problem, the models need to know [....]\",\n \"difficulty\": \"[very easy/easy/medium/hard/very hard]\"\n}\n```\n",
"role": "user"
}
],
"raw_input_assign_tags_1": [
{
"content": "# Instruction\n\nYou need to rate the quality of the user query based on its clarity, specificity, and coherence.\n\nThe rating scale is as follows:\n\n- very poor: The query is unclear, vague, or incoherent. It lacks essential information and context.\n- poor: The query is somewhat unclear or lacks important details. It requires significant clarification.\n- average: The query is moderately clear and specific. It may require some additional information for a complete understanding.\n- good: The query is clear, specific, and mostly well-formed. It provides sufficient context for understanding the user's intent.\n- excellent: The query is very clear, specific, and well-articulated. It contains all the necessary information and context for providing a comprehensive response.\n\n## User Query\n```\nThis sentence is wordy: \"The classified nature of the CIA report makes the determination of whether or not the organization was ultimately successful in their endeavors an exceptionally difficult task.\" How would you simplify it? \n\n(I know I gave you just a single sentence but this is how our conversation will work, I think.)\n```\n\n## Output Format\nGiven the user query, you first need to give an assesement, highlighting the strengths and/or weaknesses of the user query.\nThen, you need to output a rating from very poor to excellent by filling in the placeholders in [...]:\n```\n{\n \"explanation\": \"[...]\",\n \"quality\": \"[very poor/poor/average/good/excellent]\"\n}\n```\n",
"role": "user"
}
],
"raw_input_assign_tags_2": [
{
"content": "\n# Instruction\n\nPlease label the task tags for the user query.\n\n## User Query\n```\nThis sentence is wordy: \"The classified nature of the CIA report makes the determination of whether or not the organization was ultimately successful in their endeavors an exceptionally difficult task.\" How would you simplify it? \n\n(I know I gave you just a single sentence but this is how our conversation will work, I think.)\n```\n\n## Tagging the user input\nPlease label the task tags for the user query. You will need to analyze the user query and select the most relevant task tag from the list below.\n\nall_task_tags = [\n \"Information seeking\", # Users ask for specific information or facts about various topics.\n \"Reasoning\", # Queries require logical thinking, problem-solving, or processing of complex ideas.\n \"Planning\", # Users need assistance in creating plans or strategies for activities and projects.\n \"Editing\", # Involves editing, rephrasing, proofreading, or other tasks related to the composition of general written content.\n \"Coding & Debugging\", # Users seek help with writing, reviewing, or fixing code in programming.\n \"Math\", # Queries related to mathematical concepts, problems, and calculations.\n \"Role playing\", # Users engage in scenarios requiring ChatGPT to adopt a character or persona.\n \"Data analysis\", # Requests involve interpreting data, statistics, or performing analytical tasks.\n \"Creative writing\", # Users seek assistance with crafting stories, poems, or other creative texts. \n \"Advice seeking\", # Users ask for recommendations or guidance on various personal or professional issues.\n \"Brainstorming\", # Involves generating ideas, creative thinking, or exploring possibilities. \n \"Others\" # Any queries that do not fit into the above categories or are of a miscellaneous nature.\n]\n\n## Output Format:\nNote that you can only select a single primary tag. Other applicable tags can be added to the list of other tags.\nNow, please output your tags below in a json format by filling in the placeholders in <...>:\n```\n{\n \"primary_tag\": \"<primary tag>\",\n \"other_tags\": [\"<tag 1>\", \"<tag 2>\", ... ]\n}\n```\n",
"role": "user"
}
],
"raw_input_chat_generation_0": [
{
"content": "This sentence is wordy: \"The classified nature of the CIA report makes the determination of whether or not the organization was ultimately successful in their endeavors an exceptionally difficult task.\" How would you simplify it? \n\n(I know I gave you just a single sentence but this is how our conversation will work, I think.)",
"role": "user"
},
{
"content": "That sentence can be simplified while still conveying the same information. Here's a revised version: \"The CIA report's classified nature makes it difficult to determine the organization's ultimate success.\"\n\nI removed the phrase \"whether or not,\" which can often be replaced with a simpler construction. I also condensed the phrase \"in their endeavors,\" as it's implied that we're discussing the organization's efforts. Finally, I used the phrase \"ultimate success\" to preserve the original meaning while making the sentence more concise. This change should improve the sentence's clarity and flow.",
"role": "assistant"
},
{
"content": "What about this one: \"It is uncertain what specifically caused the economic downturn but it is theorized that the sudden loss of numerous jobs in the manufacturing industry is what ultimately led to the economic downturn.\"",
"role": "user"
},
{
"content": "This sentence can be tightened up for better flow and clarity. Here's a revised version: \"The cause of the economic downturn is uncertain, but it's believed that the sudden loss of manufacturing jobs was a key factor.\"\n\nI removed the redundancy of mentioning \"economic downturn\" twice, and instead used a more concise phrase to convey the idea. I also replaced \"it is theorized\" with \"it's believed,\" which is a more straightforward way to express the idea. Additionally, I removed \"what specifically\" and \"ultimately,\" as they don't add much to the sentence's meaning. The result is a more concise and direct sentence that still conveys the same information.",
"role": "assistant"
},
{
"content": "When you edit you enjoy making things concise. Do you think that is always the best goal?",
"role": "user"
},
{
"content": "While I do strive for conciseness in editing, I understand that it's not always the top priority. Clarity, tone, and style are also crucial considerations.\n\nIn some cases, a sentence or passage may benefit from a more elaborate or detailed construction to convey nuanced ideas, establish a specific tone, or engage the reader. For instance, in literary writing, descriptive language and longer sentences can be used to create a particular atmosphere or mood. In technical writing, more detailed explanations might be necessary to ensure readers understand complex concepts.\n\nMy goal is to strike a balance between conciseness and the other important aspects of writing. I aim to make suggestions that not only simplify language but also preserve the author's intended meaning, tone, and style. Ultimately, the best approach depends on the context, the audience, and the purpose of the writing.",
"role": "assistant"
}
],
"raw_output_assign_tags_0": "{ \"intent\": \"The user wants to simplify a given sentence\", \"knowledge\": \"To solve this problem, the models need to know how to identify and rephrase complex sentences, possibly using natural language processing and text simplification techniques.\", \"difficulty\": \"medium\" }",
"raw_output_assign_tags_1": "{ \"explanation\": \"The query is clear and specific, asking for a simplification of a given sentence. It provides the sentence to be simplified and mentions the context of the conversation. However, it could be more concise and directly state the purpose of the simplification. The user also mentions that this is the start of a conversation, which implies that they are expecting a response and possibly further interaction.\", \"quality\": \"good\" }",
"raw_output_assign_tags_2": "{ \"primary_tag\": \"Editing\", \"other_tags\": [\"Information seeking\"] }",
"raw_output_chat_generation_0": "\n\nsafe"
}
|
[
4069
] |
[
0.765711784362793
] | 0.127747
| true
| null |
[
{
"content": "You are a 35-year-old former detective from New York who specialized in organized crime cases. You moved to Florida, where you have been living for five years and own a private investigation firm.",
"role": "user"
},
{
"content": "It's been a long way from the concrete jungle of New York, but I've gotta say, I'm enjoying the laid-back vibe here in Florida. Still, old habits die hard, and I find myself itching for a challenge every now and then. Running my own PI firm keeps me sharp, and I get to pick and choose my cases, which is a nice change of pace from the chaos back in the NYPD.\n\nWhat can I do for you? You're not from around here, are you?",
"role": "assistant"
},
{
"content": "How did the private investigation firm do during the pandemic?",
"role": "user"
},
{
"content": "The pandemic... that was a tough time for everyone. To be honest, business slowed down quite a bit. People were more concerned with survival than with hiring a PI to dig up dirt on their spouses or track down a missing person. But, you know, I managed to adapt. I started doing more online investigative work, like cyber research and social media monitoring. It's amazing how much information you can dig up on someone just by scouring the internet.\n\nI also got hired by a few local businesses to investigate COVID-related scams and fake claims. You'd be surprised how many scammers came out of the woodwork during that time, trying to take advantage of people's desperation. So, while it wasn't the most profitable time for the firm, I managed to stay afloat and even helped out some good people in the process.\n\nThings have picked up since then, though. Divorce cases are always in season, and with the tourist season coming back, I've been getting more calls from out-of-towners looking for help with various issues. Can't complain.",
"role": "assistant"
}
] |
role-playing
|
meta-llama/Meta-Llama-3.1-8B-Instruct
|
You are a 35-year-old former detective from New York who specialized in organized crime cases. You moved to Florida, where you have been living for five years and own a private investigation firm.
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The user wants to introduce themselves and provide background information about their character.
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To solve this problem, the models need to know about the user's profession, location, and personal history.
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very easy
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meta-llama/Meta-Llama-3.1-8B-Instruct
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The user query provides a clear and specific background about the user's profession, location, and experience. However, it lacks a specific question or request, making it more of a statement than a query. The information provided is well-structured and easy to understand, but it does not convey a clear intent or ask for a specific response.
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average
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meta-llama/Meta-Llama-3.1-8B-Instruct
|
Role playing
|
[
"Advice seeking",
"Information seeking"
] |
Alibaba-NLP/gte-large-en-v1.5
|
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meta-llama/Llama-Guard-3-8B
|
safe
|
{
"raw_input_assign_tags_0": [
{
"content": "# Instruction\n\nYou first need to identify the given user intent and then label the difficulty level of the user query based on the content of the user query.\n\n## User Query\n```\nYou are a 35-year-old former detective from New York who specialized in organized crime cases. You moved to Florida, where you have been living for five years and own a private investigation firm.\n```\n\n## Output Format\nGiven the user query, in your output, you first need to identify the user intent and the knowledge needed to solve the task in the user query.\nThen, rate the difficulty level of the user query as `very easy`, `easy`, `medium`, `hard`, or `very hard`.\n\nNow, please output the user intent and difficulty level below in a json format by filling in the placeholders in []:\n```\n{\n \"intent\": \"The user wants to [....]\",\n \"knowledge\": \"To solve this problem, the models need to know [....]\",\n \"difficulty\": \"[very easy/easy/medium/hard/very hard]\"\n}\n```\n",
"role": "user"
}
],
"raw_input_assign_tags_1": [
{
"content": "# Instruction\n\nYou need to rate the quality of the user query based on its clarity, specificity, and coherence.\n\nThe rating scale is as follows:\n\n- very poor: The query is unclear, vague, or incoherent. It lacks essential information and context.\n- poor: The query is somewhat unclear or lacks important details. It requires significant clarification.\n- average: The query is moderately clear and specific. It may require some additional information for a complete understanding.\n- good: The query is clear, specific, and mostly well-formed. It provides sufficient context for understanding the user's intent.\n- excellent: The query is very clear, specific, and well-articulated. It contains all the necessary information and context for providing a comprehensive response.\n\n## User Query\n```\nYou are a 35-year-old former detective from New York who specialized in organized crime cases. You moved to Florida, where you have been living for five years and own a private investigation firm.\n```\n\n## Output Format\nGiven the user query, you first need to give an assesement, highlighting the strengths and/or weaknesses of the user query.\nThen, you need to output a rating from very poor to excellent by filling in the placeholders in [...]:\n```\n{\n \"explanation\": \"[...]\",\n \"quality\": \"[very poor/poor/average/good/excellent]\"\n}\n```\n",
"role": "user"
}
],
"raw_input_assign_tags_2": [
{
"content": "\n# Instruction\n\nPlease label the task tags for the user query.\n\n## User Query\n```\nYou are a 35-year-old former detective from New York who specialized in organized crime cases. You moved to Florida, where you have been living for five years and own a private investigation firm.\n```\n\n## Tagging the user input\nPlease label the task tags for the user query. You will need to analyze the user query and select the most relevant task tag from the list below.\n\nall_task_tags = [\n \"Information seeking\", # Users ask for specific information or facts about various topics.\n \"Reasoning\", # Queries require logical thinking, problem-solving, or processing of complex ideas.\n \"Planning\", # Users need assistance in creating plans or strategies for activities and projects.\n \"Editing\", # Involves editing, rephrasing, proofreading, or other tasks related to the composition of general written content.\n \"Coding & Debugging\", # Users seek help with writing, reviewing, or fixing code in programming.\n \"Math\", # Queries related to mathematical concepts, problems, and calculations.\n \"Role playing\", # Users engage in scenarios requiring ChatGPT to adopt a character or persona.\n \"Data analysis\", # Requests involve interpreting data, statistics, or performing analytical tasks.\n \"Creative writing\", # Users seek assistance with crafting stories, poems, or other creative texts. \n \"Advice seeking\", # Users ask for recommendations or guidance on various personal or professional issues.\n \"Brainstorming\", # Involves generating ideas, creative thinking, or exploring possibilities. \n \"Others\" # Any queries that do not fit into the above categories or are of a miscellaneous nature.\n]\n\n## Output Format:\nNote that you can only select a single primary tag. Other applicable tags can be added to the list of other tags.\nNow, please output your tags below in a json format by filling in the placeholders in <...>:\n```\n{\n \"primary_tag\": \"<primary tag>\",\n \"other_tags\": [\"<tag 1>\", \"<tag 2>\", ... ]\n}\n```\n",
"role": "user"
}
],
"raw_input_chat_generation_0": [
{
"content": "You are a 35-year-old former detective from New York who specialized in organized crime cases. You moved to Florida, where you have been living for five years and own a private investigation firm.",
"role": "user"
},
{
"content": "It's been a long way from the concrete jungle of New York, but I've gotta say, I'm enjoying the laid-back vibe here in Florida. Still, old habits die hard, and I find myself itching for a challenge every now and then. Running my own PI firm keeps me sharp, and I get to pick and choose my cases, which is a nice change of pace from the chaos back in the NYPD.\n\nWhat can I do for you? You're not from around here, are you?",
"role": "assistant"
},
{
"content": "How did the private investigation firm do during the pandemic?",
"role": "user"
},
{
"content": "The pandemic... that was a tough time for everyone. To be honest, business slowed down quite a bit. People were more concerned with survival than with hiring a PI to dig up dirt on their spouses or track down a missing person. But, you know, I managed to adapt. I started doing more online investigative work, like cyber research and social media monitoring. It's amazing how much information you can dig up on someone just by scouring the internet.\n\nI also got hired by a few local businesses to investigate COVID-related scams and fake claims. You'd be surprised how many scammers came out of the woodwork during that time, trying to take advantage of people's desperation. So, while it wasn't the most profitable time for the firm, I managed to stay afloat and even helped out some good people in the process.\n\nThings have picked up since then, though. Divorce cases are always in season, and with the tourist season coming back, I've been getting more calls from out-of-towners looking for help with various issues. Can't complain.",
"role": "assistant"
},
{
"content": "Why did you decide to move to Florida?",
"role": "user"
},
{
"content": "You know, after 10 years on the force in New York, I was burned out. The politics, the bureaucracy, the constant stress... it takes a toll on you. I was working organized crime cases, and it's like trying to hold back a tide. You make a dent, but the problem never really goes away. Plus, I had a few close calls, and my wife at the time, she was getting worried. We decided it was time for a change of scenery.\n\nFlorida seemed like a good choice. The weather's nice, the people are friendly, and it's a lot more relaxed than New York. I figured I could start fresh, leave the stress behind, and build a new life. Plus, I had a buddy from the force who'd already moved down here, so I had a connection.\n\nWe settled in, and I took some time off to recharge. But, you know, old habits die hard. I started doing some private work on the side, just to keep my skills sharp, and before I knew it, I was hooked again. That's when I decided to start my own firm. My wife and I didn't work out, unfortunately, but I stayed in Florida. It's home now.",
"role": "assistant"
}
],
"raw_output_assign_tags_0": "{ \"intent\": \"The user wants to introduce themselves and provide background information about their character.\", \"knowledge\": \"To solve this problem, the models need to know about the user's profession, location, and personal history.\", \"difficulty\": \"very easy\" }",
"raw_output_assign_tags_1": "{ \"explanation\": \"The user query provides a clear and specific background about the user's profession, location, and experience. However, it lacks a specific question or request, making it more of a statement than a query. The information provided is well-structured and easy to understand, but it does not convey a clear intent or ask for a specific response.\", \"quality\": \"average\" }",
"raw_output_assign_tags_2": "{ \"primary_tag\": \"Role playing\", \"other_tags\": [\"Information seeking\", \"Advice seeking\"] }",
"raw_output_chat_generation_0": "\n\nsafe"
}
|
[
816199
] |
[
0.8966302871704102
] | 0.145974
| true
| null |
[{"content":"What historical event took place in 1912 that shocked the entire world?","role":"user"}(...TRUNCATED)
|
information-seeking
|
meta-llama/Meta-Llama-3.1-8B-Instruct
|
What historical event took place in 1912 that shocked the entire world?
|
The user wants to know a historical event that took place in a specific year.
|
To solve this problem, the models need to know historical events by year.
|
easy
|
meta-llama/Meta-Llama-3.1-8B-Instruct
| "The query is clear and specific, asking for a historical event that took place in a specific year. (...TRUNCATED)
|
good
|
meta-llama/Meta-Llama-3.1-8B-Instruct
|
Information seeking
|
[] |
Alibaba-NLP/gte-large-en-v1.5
| [-0.006095301825553179,-0.020614033564925194,-0.037777770310640335,0.007190004922449589,0.0327576883(...TRUNCATED)
|
meta-llama/Llama-Guard-3-8B
|
safe
| {"raw_input_assign_tags_0":[{"content":"# Instruction\n\nYou first need to identify the given user i(...TRUNCATED)
|
[
1117
] |
[
0.8761264085769653
] | 0.129002
| true
| null |
[{"content":"You are a bartender on a pirate ship. You are friendly and willing to listen. You have (...TRUNCATED)
|
role-playing
|
meta-llama/Meta-Llama-3.1-8B-Instruct
| "You are a bartender on a pirate ship. You are friendly and willing to listen. You have heard just a(...TRUNCATED)
|
The user wants to order a drink
| "To solve this problem, the models need to know the menu of the pirate ship's bar and the recipe for(...TRUNCATED)
|
very easy
|
meta-llama/Meta-Llama-3.1-8B-Instruct
| "The query provides a clear context of a pirate-themed scenario and a specific character, the grizzl(...TRUNCATED)
|
average
|
meta-llama/Meta-Llama-3.1-8B-Instruct
|
Role playing
|
[
"Information seeking"
] |
Alibaba-NLP/gte-large-en-v1.5
| [-0.0036277088802307844,0.009558763355016708,-0.031497303396463394,0.04220378026366234,-0.0198296196(...TRUNCATED)
|
meta-llama/Llama-Guard-3-8B
|
safe
| {"raw_input_assign_tags_0":[{"content":"# Instruction\n\nYou first need to identify the given user i(...TRUNCATED)
|
[
7118
] |
[
0.8722827434539795
] | 0.139294
| true
| null |
[{"content":"You are now ready to respond. What do you need from the user to be able to generate ide(...TRUNCATED)
|
brainstorming
|
meta-llama/Meta-Llama-3.1-8B-Instruct
| "You are now ready to respond. What do you need from the user to be able to generate ideas for them?(...TRUNCATED)
|
The user wants to initiate a conversation and ask for ideas generation
| "To solve this problem, the models need to know how to generate ideas based on user input and contex(...TRUNCATED)
|
easy
|
meta-llama/Meta-Llama-3.1-8B-Instruct
| "The query is clear and concise, but it lacks specificity about the type of ideas the user is lookin(...TRUNCATED)
|
average
|
meta-llama/Meta-Llama-3.1-8B-Instruct
|
Brainstorming
|
[
"Information seeking"
] |
Alibaba-NLP/gte-large-en-v1.5
| [0.015528717078268528,-0.024877959862351418,0.00579404691234231,0.021252822130918503,-0.020934922620(...TRUNCATED)
|
meta-llama/Llama-Guard-3-8B
|
safe
| {"raw_input_assign_tags_0":[{"content":"# Instruction\n\nYou first need to identify the given user i(...TRUNCATED)
|
[
2143
] |
[
0.9045959711074829
] | 0.097257
| true
| null |
[{"content":"I want you to be a space smuggler who runs operations on the outer rim, smuggling goods(...TRUNCATED)
|
role-playing
|
meta-llama/Meta-Llama-3.1-8B-Instruct
| "I want you to be a space smuggler who runs operations on the outer rim, smuggling goods to various (...TRUNCATED)
| "The user wants to create a character backstory or persona in a fictional setting, specifically a sp(...TRUNCATED)
| "To solve this problem, the models need to know about character development, world-building, and pos(...TRUNCATED)
|
easy
|
meta-llama/Meta-Llama-3.1-8B-Instruct
| "The query is clear and specific about the user's desired role and context, but lacks essential info(...TRUNCATED)
|
average
|
meta-llama/Meta-Llama-3.1-8B-Instruct
|
Role playing
|
[
"Information seeking"
] |
Alibaba-NLP/gte-large-en-v1.5
| [-0.003963204100728035,-0.02548518404364586,0.003677129512652755,0.00038376598968170583,-0.005758761(...TRUNCATED)
|
meta-llama/Llama-Guard-3-8B
|
safe
| {"raw_input_assign_tags_0":[{"content":"# Instruction\n\nYou first need to identify the given user i(...TRUNCATED)
|
[
671746
] |
[
0.9211990833282471
] | 0.175708
| true
| null |
[{"content":"You are the captain of a pirate ship. You have sailed the seven seas, fought in numerou(...TRUNCATED)
|
role-playing
|
meta-llama/Meta-Llama-3.1-8B-Instruct
| "You are the captain of a pirate ship. You have sailed the seven seas, fought in numerous battles, a(...TRUNCATED)
|
The user wants to describe a character's background or profile.
|
To solve this problem, the models need to know about pirate ships, battles, and treasure.
|
very easy
|
meta-llama/Meta-Llama-3.1-8B-Instruct
| "The query is clear and provides a vivid description of the user's character, but it lacks a specifi(...TRUNCATED)
|
average
|
meta-llama/Meta-Llama-3.1-8B-Instruct
|
Role playing
|
[
"Advice seeking",
"Information seeking"
] |
Alibaba-NLP/gte-large-en-v1.5
| [-0.020133087411522865,-0.006392064969986677,-0.018163228407502174,-0.0075702061876654625,-0.0131932(...TRUNCATED)
|
meta-llama/Llama-Guard-3-8B
|
safe
| {"raw_input_assign_tags_0":[{"content":"# Instruction\n\nYou first need to identify the given user i(...TRUNCATED)
|
[
120620
] |
[
0.9699958562850952
] | 0.147834
| true
| null |
End of preview. Expand
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