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7a119cfae42e5caf8e53f0bf44df7f8d | 01c298f0ff77cb391f3256ae | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"write php function that gives references to any 8bit permutation","role":"user"}]} | {"conversation":[{"content":"write php function that gives references to any 8bit permutation","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | php | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 109 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 111 | 466 | {} | jev-1.13.0 | choice | code | 1 | {"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0} | {"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":394,"output_tokens":47}} | 394 | 47 | 0.000017 | 708 | 2026-09-20T22:03:20.572607+00:00 | ||
c6c239e9f3350e34f2c6d3ee9dec6056 | f79704e62d86188b437605ac | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Does Linux mint have ntfs-3g installed by default?","role":"user"}]} | {"conversation":[{"content":"Does Linux mint have ntfs-3g installed by default?","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | stem | null | {"domain":{"label":"stem","score":null,"source":"source_metadata"}} | source_metadata | english | stem | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 110 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 97 | 452 | {} | jev-1.13.0 | choice | stem | 0.36 | {"code":0.44,"general":0.04,"multilingual":0.0,"stem":0.52} | {"choice":"stem","confidence":0.36,"probabilities":{"code":0.44,"general":0.04,"multilingual":0.0,"stem":0.52},"type":"choice"} | {"answers":{"domain":{"choice":"stem","confidence":0.36,"probabilities":{"code":0.44,"general":0.04,"multilingual":0.0,"stem":0.52},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":395,"output_tokens":47}} | 395 | 47 | 0.000017 | 755 | 2026-09-20T22:03:20.733004+00:00 | ||
0e40149b8c8d583dfa2c010b3c88dfba | 6a9e385b3bcba938e56ac4e2 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"\\resumeSubheading\n {Jellyfish Technologies}{November 2022 -- Present}\n {Software Engineer Trainee}{Noida, India}\n \\resumeItemListStart\n \\resumeItem{\\textbf{Got Trained} in Full Stack Web Development with JavaScript for first 3 months}\n \\resumeItem{\\te... | {"conversation":[{"content":"\\resumeSubheading\n {Jellyfish Technologies}{November 2022 -- Present}\n {Software Engineer Trainee}{Noida, India}\n \\resumeItemListStart\n \\resumeItem{\\textbf{Got Trained} in Full Stack Web Development with JavaScript for first 3 months}\n \\resumeItem{\\te... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | javascript_html_css | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 111 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 977 | 1,332 | {} | jev-1.13.0 | choice | code | 0.74 | {"code":0.8,"general":0.19,"multilingual":0.0,"stem":0.01} | {"choice":"code","confidence":0.74,"probabilities":{"code":0.8,"general":0.19,"multilingual":0.0,"stem":0.01},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":0.74,"probabilities":{"code":0.8,"general":0.19,"multilingual":0.0,"stem":0.01},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":627,"output_tokens":47}} | 627 | 47 | 0.000026 | 706 | 2026-09-20T22:03:20.806523+00:00 | ||
de2eb3d97b6e6bead5e9e8ded025c6b6 | 2c286552220e19298d1e614c | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"who won the 2014 australian open women's singles badminton championship","role":"user"}]} | {"conversation":[{"content":"who won the 2014 australian open women's singles badminton championship","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | multilingual | null | {"domain":{"label":"multilingual","score":null,"source":"source_metadata"}} | source_metadata | japanese | multilingual | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 112 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 118 | 473 | {} | jev-1.13.0 | choice | general | 1 | {"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0} | {"choice":"general","confidence":1.0,"probabilities":{"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":1.0,"probabilities":{"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":401,"output_tokens":47}} | 401 | 47 | 0.000017 | 720 | 2026-09-20T22:03:20.944484+00:00 | ||
0f49b78e08011cbbebc173eabe1c80e1 | f20048a9b8315b160beae473 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"In Java, is it possible to have a concrete class with a generic SELF?","role":"user"},{"content":"Yes, it is possible to have a concrete class with a generic self in Java. This can be achieved using a technique called \"Curiously Recurring Template Pattern\" (CRTP). In this pattern, a class... | {"conversation":[{"content":"In Java, is it possible to have a concrete class with a generic SELF?","role":"user"},{"content":"Yes, it is possible to have a concrete class with a generic self in Java. This can be achieved using a technique called \"Curiously Recurring Template Pattern\" (CRTP). In this pattern, a class... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | java | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 113 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 5,939 | 6,294 | {} | jev-1.13.0 | choice | code | 1 | {"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0} | {"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":1826,"output_tokens":47}} | 1,826 | 47 | 0.000077 | 763 | 2026-09-20T22:03:21.099560+00:00 | ||
a1706917af29891a32eb877833a93f01 | aa01f49a09d05a7bd7c933e1 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Let us know if your daughter is ok sir","role":"user"}]} | {"conversation":[{"content":"Let us know if your daughter is ok sir","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 114 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 85 | 440 | {} | jev-1.13.0 | choice | general | 1 | {"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0} | {"choice":"general","confidence":1.0,"probabilities":{"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":1.0,"probabilities":{"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":391,"output_tokens":47}} | 391 | 47 | 0.000016 | 656 | 2026-09-20T22:03:21.116287+00:00 | ||
39d106ec34ef3463c7b88ff05676aa1a | ca6464bdddac88497ef8301f | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"I want you to create fictional documents and reports for a fictional setting. Baroness Wilhelmina von Horgen is young woman who has been suffering from multiple debilitating and crippling chronic conditions throughout almost her enitre life. This means that Wilhelmina has been effectively l... | {"conversation":[{"content":"I want you to create fictional documents and reports for a fictional setting. Baroness Wilhelmina von Horgen is young woman who has been suffering from multiple debilitating and crippling chronic conditions throughout almost her enitre life. This means that Wilhelmina has been effectively l... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | stem | null | {"domain":{"label":"stem","score":null,"source":"source_metadata"}} | source_metadata | english | stem | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 115 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 1,028 | 1,383 | {} | jev-1.13.0 | choice | general | 0.43 | {"code":0.0,"general":0.57,"multilingual":0.0,"stem":0.43} | {"choice":"general","confidence":0.43,"probabilities":{"code":0.0,"general":0.57,"multilingual":0.0,"stem":0.43},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.43,"probabilities":{"code":0.0,"general":0.57,"multilingual":0.0,"stem":0.43},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":577,"output_tokens":47}} | 577 | 47 | 0.000024 | 633 | 2026-09-20T22:03:21.213114+00:00 | ||
95f4aba9906b687f885ac4e2481081ee | a95272c2b073589751c96a5c | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Write about the wall of ticklish bare feet","role":"user"},{"content":"The wall of ticklish bare feet is a unique and playful concept that is sure to bring a smile to anyone's face. Imagine walking into a room and being greeted by a wall covered in rows and rows of bare feet, each one wiggl... | {"conversation":[{"content":"Write about the wall of ticklish bare feet","role":"user"},{"content":"The wall of ticklish bare feet is a unique and playful concept that is sure to bring a smile to anyone's face. Imagine walking into a room and being greeted by a wall covered in rows and rows of bare feet, each one wiggl... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 116 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 2,106 | 2,461 | {} | jev-1.13.0 | choice | general | 1 | {"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0} | {"choice":"general","confidence":1.0,"probabilities":{"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":1.0,"probabilities":{"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":846,"output_tokens":47}} | 846 | 47 | 0.000036 | 638 | 2026-09-20T22:03:21.341905+00:00 | ||
017d29d96417ccbd2aa0b242aa5ba8b9 | a4c1756416bc9c5752d7ea29 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"The aim of the research is to identify the impact of the economic situation, mainly as a result of the COVID-19 epidemic, on the behavior of buyers of residential real estate. In Poland, in 2019-2021, a significant increase in demand was observed on the housing market, both primary and seco... | {"conversation":[{"content":"The aim of the research is to identify the impact of the economic situation, mainly as a result of the COVID-19 epidemic, on the behavior of buyers of residential real estate. In Poland, in 2019-2021, a significant increase in demand was observed on the housing market, both primary and seco... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 117 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 1,204 | 1,559 | {} | jev-1.13.0 | choice | general | 0.81 | {"code":0.0,"general":0.85,"multilingual":0.01,"stem":0.14} | {"choice":"general","confidence":0.81,"probabilities":{"code":0.0,"general":0.85,"multilingual":0.01,"stem":0.14},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.81,"probabilities":{"code":0.0,"general":0.85,"multilingual":0.01,"stem":0.14},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":591,"output_tokens":47}} | 591 | 47 | 0.000025 | 796 | 2026-09-20T22:03:21.622035+00:00 | ||
8bc8c47e09ce04b86a289b2633f3bfad | 947622ed55b889d7fcb01203 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Replace the \"???\" with the appropriate name to fractions.\n\n1. Knight's Faction\n- Fraction: Silver Alliance\n- Subfraction: Leagues\n- Overstructural unit: Knightly Orders\n- Structural unit: Noble houses\n\n2. Viking Faction\n- Fraction: ???\n- Subfraction: ???\n- Overstructural unit: ... | {"conversation":[{"content":"Replace the \"???\" with the appropriate name to fractions.\n\n1. Knight's Faction\n- Fraction: Silver Alliance\n- Subfraction: Leagues\n- Overstructural unit: Knightly Orders\n- Structural unit: Noble houses\n\n2. Viking Faction\n- Fraction: ???\n- Subfraction: ???\n- Overstructural unit: ... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 118 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 1,111 | 1,466 | {} | jev-1.13.0 | choice | general | 0.99 | {"code":0.01,"general":0.99,"multilingual":0.0,"stem":0.0} | {"choice":"general","confidence":0.99,"probabilities":{"code":0.01,"general":0.99,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.99,"probabilities":{"code":0.01,"general":0.99,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":687,"output_tokens":47}} | 687 | 47 | 0.000029 | 677 | 2026-09-20T22:03:21.621304+00:00 | ||
766cbefead93a2f366782f44cc0d58f6 | 88c0fd57e174e3c904d8e622 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Cluster a list of keywords based on their semantic relevance\n这是一个什么功能？","role":"user"},{"content":"这个功能是将一个关键词列表根据它们的语义相关性进行聚类。这意味着它将关键词组合成具有相似含义或主题的组。这可以帮助用户更有效地组织、分类和理解大量关键词。\n\n实现这个功能的一种方法是使用自然语言处理（NLP）技术和机器学习算法。以下是一个简单的Python示例，说明如何使用scikit-learn库来实现这个功能。\n\n```python\nfrom sklearn.fea... | {"conversation":[{"content":"Cluster a list of keywords based on their semantic relevance\n这是一个什么功能？","role":"user"},{"content":"这个功能是将一个关键词列表根据它们的语义相关性进行聚类。这意味着它将关键词组合成具有相似含义或主题的组。这可以帮助用户更有效地组织、分类和理解大量关键词。\n\n实现这个功能的一种方法是使用自然语言处理（NLP）技术和机器学习算法。以下是一个简单的Python示例，说明如何使用scikit-learn库来实现这个功能。\n\n```python\nfrom sklearn.fea... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | multilingual | null | {"domain":{"label":"multilingual","score":null,"source":"source_metadata"}} | source_metadata | chinese | multilingual | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 119 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 1,869 | 2,224 | {} | jev-1.13.0 | choice | code | 0.58 | {"code":0.68,"general":0.24,"multilingual":0.01,"stem":0.07} | {"choice":"code","confidence":0.58,"probabilities":{"code":0.68,"general":0.24,"multilingual":0.01,"stem":0.07},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":0.58,"probabilities":{"code":0.68,"general":0.24,"multilingual":0.01,"stem":0.07},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":1563,"output_tokens":47}} | 1,563 | 47 | 0.000066 | 660 | 2026-09-20T22:03:21.724218+00:00 | ||
487b83aede5df82e46e9be0777f9c5c7 | 769598ab371f785efc3800cc | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"how do you use hydra to read usd attributes?","role":"user"}]} | {"conversation":[{"content":"how do you use hydra to read usd attributes?","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | python | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 120 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 91 | 446 | {} | jev-1.13.0 | choice | code | 0.97 | {"code":0.98,"general":0.0,"multilingual":0.0,"stem":0.02} | {"choice":"code","confidence":0.97,"probabilities":{"code":0.98,"general":0.0,"multilingual":0.0,"stem":0.02},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":0.97,"probabilities":{"code":0.98,"general":0.0,"multilingual":0.0,"stem":0.02},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":393,"output_tokens":47}} | 393 | 47 | 0.000017 | 699 | 2026-09-20T22:03:21.876081+00:00 | ||
0b54ee58dd540771ae32fde1a2b0c603 | ba327f97cc368888945c2b9f | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"create a netflix restaraunt in seattle","role":"user"},{"content":"To create a Netflix restaurant in Seattle, you would need to follow these steps:\n\n\n1. **Concept Development**:\n\n - Decide on the theme of the restaurant. Since it's a Netflix-themed restaurant, consider elements like ... | {"conversation":[{"content":"create a netflix restaraunt in seattle","role":"user"},{"content":"To create a Netflix restaurant in Seattle, you would need to follow these steps:\n\n\n1. **Concept Development**:\n\n - Decide on the theme of the restaurant. Since it's a Netflix-themed restaurant, consider elements like ... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 121 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 2,990 | 3,345 | {} | jev-1.13.0 | choice | general | 1 | {"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0} | {"choice":"general","confidence":1.0,"probabilities":{"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":1.0,"probabilities":{"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":986,"output_tokens":47}} | 986 | 47 | 0.000041 | 592 | 2026-09-20T22:03:21.891927+00:00 | ||
7b259311935fd38eba8fb796b3c8e9d2 | 424479717c0b6f12ee2b11f7 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"把下面顺序错乱的句子按照每一句前的序号整理成通顺连贯的一段话：\n1.华罗庚教授是一位自学成才的著名的数学家。\n2.20岁那年，他得了伤寒病，一躺就是半年，病好后，一条腿残疾，但他毫不泄气，继续向科学城堡进攻。\n3.他14岁开始自学数学，每天坚持自学10小时，从不间断。\n4.1932年，22岁的华罗庚应清华大学数学系主任熊庆来的邀请，到清华大学工作。\n5.从19岁起，华罗庚开始写数学论文。\n6.在清华期间，他看了更多的数学书，并开始学习外文。由于他肯下苦功，进步很快，25岁时，华罗庚就成了著名的数学家。","role":"user"}]} | {"conversation":[{"content":"把下面顺序错乱的句子按照每一句前的序号整理成通顺连贯的一段话：\n1.华罗庚教授是一位自学成才的著名的数学家。\n2.20岁那年，他得了伤寒病，一躺就是半年，病好后，一条腿残疾，但他毫不泄气，继续向科学城堡进攻。\n3.他14岁开始自学数学，每天坚持自学10小时，从不间断。\n4.1932年，22岁的华罗庚应清华大学数学系主任熊庆来的邀请，到清华大学工作。\n5.从19岁起，华罗庚开始写数学论文。\n6.在清华期间，他看了更多的数学书，并开始学习外文。由于他肯下苦功，进步很快，25岁时，华罗庚就成了著名的数学家。","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | multilingual | null | {"domain":{"label":"multilingual","score":null,"source":"source_metadata"}} | source_metadata | chinese | multilingual | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 122 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 306 | 661 | {} | jev-1.13.0 | choice | general | 0.36 | {"code":0.0,"general":0.52,"multilingual":0.37,"stem":0.11} | {"choice":"general","confidence":0.36,"probabilities":{"code":0.0,"general":0.52,"multilingual":0.37,"stem":0.11},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.36,"probabilities":{"code":0.0,"general":0.52,"multilingual":0.37,"stem":0.11},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":639,"output_tokens":47}} | 639 | 47 | 0.000027 | 622 | 2026-09-20T22:03:22.040451+00:00 | ||
6225c4874b73b890b819ed2db4cbd6cc | e9eafd70ba7d6e29f34ee5be | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Consider the following LP problem\nMax X + 2Y\nSubject to\nX – 3Y ≥ 0\nX ≤ 3\nX, Y ≥ 0\nThe shape of the feasible region is\n\na point\n\na line segment\n\na triangle\n\na pentago","role":"user"}]} | {"conversation":[{"content":"Consider the following LP problem\nMax X + 2Y\nSubject to\nX – 3Y ≥ 0\nX ≤ 3\nX, Y ≥ 0\nThe shape of the feasible region is\n\na point\n\na line segment\n\na triangle\n\na pentago","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | stem | null | {"domain":{"label":"stem","score":null,"source":"source_metadata"}} | source_metadata | english | stem | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 123 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 226 | 581 | {} | jev-1.13.0 | choice | stem | 1 | {"code":0.0,"general":0.0,"multilingual":0.0,"stem":1.0} | {"choice":"stem","confidence":1.0,"probabilities":{"code":0.0,"general":0.0,"multilingual":0.0,"stem":1.0},"type":"choice"} | {"answers":{"domain":{"choice":"stem","confidence":1.0,"probabilities":{"code":0.0,"general":0.0,"multilingual":0.0,"stem":1.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":440,"output_tokens":47}} | 440 | 47 | 0.000018 | 712 | 2026-09-20T22:03:22.248420+00:00 | ||
f8e00e6dc2b2ed1d3c946a5d4ae3d9fc | 065071e729234c74cc464ca8 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"I'm using react-native-ble-manager for a React Native project. When I get the device info back the 'name' is null. Other properties are correct. Any idea why?","role":"user"},{"content":"There could be several reasons why the 'name' property is null when you're using react-native-ble-manage... | {"conversation":[{"content":"I'm using react-native-ble-manager for a React Native project. When I get the device info back the 'name' is null. Other properties are correct. Any idea why?","role":"user"},{"content":"There could be several reasons why the 'name' property is null when you're using react-native-ble-manage... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | javascript_html_css | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 124 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 4,140 | 4,495 | {} | jev-1.13.0 | choice | code | 1 | {"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0} | {"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":1353,"output_tokens":47}} | 1,353 | 47 | 0.000057 | 646 | 2026-09-20T22:03:22.303406+00:00 | ||
a0820367789c9c890157ee5eab870dbd | 3e276b5969b16aa1c4559592 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"In java what are the pros and cons of casting?","role":"user"}]} | {"conversation":[{"content":"In java what are the pros and cons of casting?","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | java | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 125 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 93 | 448 | {} | jev-1.13.0 | choice | code | 1 | {"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0} | {"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":393,"output_tokens":47}} | 393 | 47 | 0.000017 | 684 | 2026-09-20T22:03:22.466913+00:00 | ||
f5de83047c0ff7b577284c50cc48cdd7 | 043e4d2b600f01c5899f96ed | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Impact of Airbnb on London’s Tourism Economy — this would look at the distribution of London’s tourism venues and, possibly, hotels alongside Airbnb listings in order to evaluate the extent to which tourism ‘dollars’ might be spent in ways that positively impact less tourist-oriented areas ... | {"conversation":[{"content":"Impact of Airbnb on London’s Tourism Economy — this would look at the distribution of London’s tourism venues and, possibly, hotels alongside Airbnb listings in order to evaluate the extent to which tourism ‘dollars’ might be spent in ways that positively impact less tourist-oriented areas ... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | stem | null | {"domain":{"label":"stem","score":null,"source":"source_metadata"}} | source_metadata | english | stem | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 126 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 6,581 | 6,936 | {} | jev-1.13.0 | choice | general | 0.5 | {"code":0.0,"general":0.62,"multilingual":0.0,"stem":0.38} | {"choice":"general","confidence":0.5,"probabilities":{"code":0.0,"general":0.62,"multilingual":0.0,"stem":0.38},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.5,"probabilities":{"code":0.0,"general":0.62,"multilingual":0.0,"stem":0.38},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":1683,"output_tokens":47}} | 1,683 | 47 | 0.000071 | 665 | 2026-09-20T22:03:22.566670+00:00 | ||
b51f837413bf9687ced232a0bb48f4bb | cb81bea841dea434d6bee096 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"請幫我查詢ACCRETECH的型號UF2000的控制指令,並告訴我是用的通訊模式是哪一種? 譬如GPIB或是TCP/IP之類的","role":"user"}]} | {"conversation":[{"content":"請幫我查詢ACCRETECH的型號UF2000的控制指令,並告訴我是用的通訊模式是哪一種? 譬如GPIB或是TCP/IP之類的","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | multilingual | null | {"domain":{"label":"multilingual","score":null,"source":"source_metadata"}} | source_metadata | chinese | multilingual | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 127 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 110 | 465 | {} | jev-1.13.0 | choice | stem | 0.98 | {"code":0.01,"general":0.0,"multilingual":0.0,"stem":0.99} | {"choice":"stem","confidence":0.98,"probabilities":{"code":0.01,"general":0.0,"multilingual":0.0,"stem":0.99},"type":"choice"} | {"answers":{"domain":{"choice":"stem","confidence":0.98,"probabilities":{"code":0.01,"general":0.0,"multilingual":0.0,"stem":0.99},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":437,"output_tokens":47}} | 437 | 47 | 0.000018 | 731 | 2026-09-20T22:03:22.753197+00:00 | ||
85b9af4dc33b108d98f23722a8b283c3 | 8a89255ffbb3935629672fc6 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"How to apo using rest framework for forecast app in django\n","role":"user"},{"content":"Here is an example of how you can use the Django Rest Framework to create an API for your weather forecast app:\n\nFirst, you need to create a model for your weather data. You can use Django's built-in ... | {"conversation":[{"content":"How to apo using rest framework for forecast app in django\n","role":"user"},{"content":"Here is an example of how you can use the Django Rest Framework to create an API for your weather forecast app:\n\nFirst, you need to create a model for your weather data. You can use Django's built-in ... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | python | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 128 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 2,566 | 2,921 | {} | jev-1.13.0 | choice | code | 1 | {"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0} | {"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":988,"output_tokens":47}} | 988 | 47 | 0.000041 | 622 | 2026-09-20T22:03:22.761024+00:00 | ||
f24fd57ea9c1e51c570501d0e498da36 | 95af84359215390e68aeab79 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"make this very simple and a paragraph long Giving gifts during Christmas comes from the story of the wise men who gave gifts to Jesus. Gift giving shows love and kindness.","role":"user"},{"content":"The tradition of gift-giving during Christmas is deeply rooted in the story of the three wi... | {"conversation":[{"content":"make this very simple and a paragraph long Giving gifts during Christmas comes from the story of the wise men who gave gifts to Jesus. Gift giving shows love and kindness.","role":"user"},{"content":"The tradition of gift-giving during Christmas is deeply rooted in the story of the three wi... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 129 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 3,472 | 3,827 | {} | jev-1.13.0 | choice | general | 1 | {"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0} | {"choice":"general","confidence":1.0,"probabilities":{"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":1.0,"probabilities":{"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":1151,"output_tokens":47}} | 1,151 | 47 | 0.000048 | 730 | 2026-09-20T22:03:22.994838+00:00 | ||
526058092d1ca90560ab6aec8abf08f6 | 1d7351275bdb7eeda3615cdb | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"林海兒","role":"user"}]} | {"conversation":[{"content":"林海兒","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | multilingual | null | {"domain":{"label":"multilingual","score":null,"source":"source_metadata"}} | source_metadata | chinese | multilingual | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 131 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 50 | 405 | {} | jev-1.13.0 | choice | general | 0.63 | {"code":0.0,"general":0.72,"multilingual":0.28,"stem":0.0} | {"choice":"general","confidence":0.63,"probabilities":{"code":0.0,"general":0.72,"multilingual":0.28,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.63,"probabilities":{"code":0.0,"general":0.72,"multilingual":0.28,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":385,"output_tokens":47}} | 385 | 47 | 0.000016 | 751 | 2026-09-20T22:03:23.194534+00:00 | ||
4e21d42a0289ef1a42b41080a47c0640 | 7fdfdf22be8356da65e6ac14 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"One of the residential college wants to build a 600 square foot rectangular enclosure on the parking lot in order to display pictures of the student's activities. Three sides of the enclosure will be built of redwood fencing, at a cost of $14 per running foot. The fourth side will be built ... | {"conversation":[{"content":"One of the residential college wants to build a 600 square foot rectangular enclosure on the parking lot in order to display pictures of the student's activities. Three sides of the enclosure will be built of redwood fencing, at a cost of $14 per running foot. The fourth side will be built ... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | stem | null | {"domain":{"label":"stem","score":null,"source":"source_metadata"}} | source_metadata | english | stem | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 132 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 445 | 800 | {} | jev-1.13.0 | choice | stem | 1 | {"code":0.0,"general":0.0,"multilingual":0.0,"stem":1.0} | {"choice":"stem","confidence":1.0,"probabilities":{"code":0.0,"general":0.0,"multilingual":0.0,"stem":1.0},"type":"choice"} | {"answers":{"domain":{"choice":"stem","confidence":1.0,"probabilities":{"code":0.0,"general":0.0,"multilingual":0.0,"stem":1.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":468,"output_tokens":47}} | 468 | 47 | 0.00002 | 634 | 2026-09-20T22:03:23.194415+00:00 | ||
70c0675502df4a39b570bccfb582a49f | 74b2952fe22d32713256f32b | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"How Glamor uses EGL to display on screen","role":"user"}]} | {"conversation":[{"content":"How Glamor uses EGL to display on screen","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | stem | null | {"domain":{"label":"stem","score":null,"source":"source_metadata"}} | source_metadata | english | stem | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 133 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 87 | 442 | {} | jev-1.13.0 | choice | code | 0.94 | {"code":0.96,"general":0.0,"multilingual":0.0,"stem":0.04} | {"choice":"code","confidence":0.94,"probabilities":{"code":0.96,"general":0.0,"multilingual":0.0,"stem":0.04},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":0.94,"probabilities":{"code":0.96,"general":0.0,"multilingual":0.0,"stem":0.04},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":391,"output_tokens":47}} | 391 | 47 | 0.000016 | 694 | 2026-09-20T22:03:23.379100+00:00 | ||
935f23961a8698f7c13c95a7372870f8 | 6b724cc2c04ba41c57ca2732 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Evaluate the given integral using the given transformation\n∬_(R)(y)/(x-3y)dA, where R is the region bounder by the lines y=1,y=(x)/(4) and 3y=e; let x=3u+v,y=u.","role":"user"},{"content":"To evaluate the given integral, we first need to transform the region R into a more convenient form. ... | {"conversation":[{"content":"Evaluate the given integral using the given transformation\n∬_(R)(y)/(x-3y)dA, where R is the region bounder by the lines y=1,y=(x)/(4) and 3y=e; let x=3u+v,y=u.","role":"user"},{"content":"To evaluate the given integral, we first need to transform the region R into a more convenient form. ... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | stem | null | {"domain":{"label":"stem","score":null,"source":"source_metadata"}} | source_metadata | english | stem | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 134 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 2,021 | 2,376 | {} | jev-1.13.0 | choice | stem | 1 | {"code":0.0,"general":0.0,"multilingual":0.0,"stem":1.0} | {"choice":"stem","confidence":1.0,"probabilities":{"code":0.0,"general":0.0,"multilingual":0.0,"stem":1.0},"type":"choice"} | {"answers":{"domain":{"choice":"stem","confidence":1.0,"probabilities":{"code":0.0,"general":0.0,"multilingual":0.0,"stem":1.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":1158,"output_tokens":47}} | 1,158 | 47 | 0.000049 | 698 | 2026-09-20T22:03:23.498270+00:00 | ||
f341d1faba634c4908b472d6d05c18a8 | e91ae07f98d6308eba462518 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"This is my code:\nimport { useCallback, useRef } from 'react';\n\ninterface UseRefCallbackParams<T> {\n ref?: React.MutableRefObject<T>;\n onMount?: (node: T) => void;\n onUnmount?: (node: T) => void;\n}\n\n// Generic syntax inspired by: https://stackoverflow.com/questions/32308370/what-... | {"conversation":[{"content":"This is my code:\nimport { useCallback, useRef } from 'react';\n\ninterface UseRefCallbackParams<T> {\n ref?: React.MutableRefObject<T>;\n onMount?: (node: T) => void;\n onUnmount?: (node: T) => void;\n}\n\n// Generic syntax inspired by: https://stackoverflow.com/questions/32308370/what-... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | javascript_html_css | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 135 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 10,415 | 10,770 | {} | jev-1.13.0 | choice | code | 1 | {"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0} | {"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":3202,"output_tokens":47}} | 3,202 | 47 | 0.000134 | 802 | 2026-09-20T22:03:23.722994+00:00 | ||
170f94dca6717cdfc66b91025375d7d2 | 7e05c90b65922685ab4a579e | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Write a python turtle script to draw a turtle","role":"user"},{"content":"Here is a simple Python script using the turtle module to draw a turtle shape:\n\n```python\nimport turtle\n\n# Create a new turtle screen and set its background color\nscreen = turtle.Screen()\nscreen.bgcolor(\"white... | {"conversation":[{"content":"Write a python turtle script to draw a turtle","role":"user"},{"content":"Here is a simple Python script using the turtle module to draw a turtle shape:\n\n```python\nimport turtle\n\n# Create a new turtle screen and set its background color\nscreen = turtle.Screen()\nscreen.bgcolor(\"white... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | python | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 136 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 6,373 | 6,728 | {} | jev-1.13.0 | choice | code | 1 | {"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0} | {"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":2479,"output_tokens":47}} | 2,479 | 47 | 0.000104 | 685 | 2026-09-20T22:03:23.722198+00:00 | ||
08602a043b043323d36e7bb590a4cb3a | 12ddd65bb39789bd6f4154ea | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"請依據一下12項描述，來補充與修正ChatGPT的使用觀念\n1. 由一般到特定。\n2. 由名詞到解釋。\n3. 由解釋再到進一步解釋。\n3. 由概念到例子。\n4. 由例子到例子。\n4. 由概要到細節。\n5. 由通用到比較。\n6. 由個別觀念到相關觀念。\n7. 詢問為什麼，以及如何。\n8. 有模糊的問題到明確的問題。\n9. 由各別觀念提問到概念的組織。\n10. 逐次分別項目問題的詢問。\n11. 由上往下，或是下往上觀念層次的詢問。\n12. 以特定角色來做詢問。","role":"user"},{"content":"1. 從一般到特定：在使用ChatG... | {"conversation":[{"content":"請依據一下12項描述，來補充與修正ChatGPT的使用觀念\n1. 由一般到特定。\n2. 由名詞到解釋。\n3. 由解釋再到進一步解釋。\n3. 由概念到例子。\n4. 由例子到例子。\n4. 由概要到細節。\n5. 由通用到比較。\n6. 由個別觀念到相關觀念。\n7. 詢問為什麼，以及如何。\n8. 有模糊的問題到明確的問題。\n9. 由各別觀念提問到概念的組織。\n10. 逐次分別項目問題的詢問。\n11. 由上往下，或是下往上觀念層次的詢問。\n12. 以特定角色來做詢問。","role":"user"},{"content":"1. 從一般到特定：在使用ChatG... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | multilingual | null | {"domain":{"label":"multilingual","score":null,"source":"source_metadata"}} | source_metadata | chinese | multilingual | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 137 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 3,204 | 3,559 | {} | jev-1.13.0 | choice | general | 0.78 | {"code":0.01,"general":0.83,"multilingual":0.11,"stem":0.05} | {"choice":"general","confidence":0.78,"probabilities":{"code":0.01,"general":0.83,"multilingual":0.11,"stem":0.05},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.78,"probabilities":{"code":0.01,"general":0.83,"multilingual":0.11,"stem":0.05},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":3263,"output_tokens":47}} | 3,263 | 47 | 0.000137 | 664 | 2026-09-20T22:03:23.827580+00:00 | ||
eeeafa0bb1976707c8b9871057069b45 | 61403242713282db9a27b8f7 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"It looks really interesting but I’m not sure I’m gonna be able to make it unfortunately 😕 I have a lot of things to catch up on + my family,… but I hope you’ll have fun 🤭 vs I’m not gonna be able to make it 😭 I’m packed for this month 😭 for soft rejection","role":"user"},{"content":"I'm... | {"conversation":[{"content":"It looks really interesting but I’m not sure I’m gonna be able to make it unfortunately 😕 I have a lot of things to catch up on + my family,… but I hope you’ll have fun 🤭 vs I’m not gonna be able to make it 😭 I’m packed for this month 😭 for soft rejection","role":"user"},{"content":"I'm... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 138 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 786 | 1,141 | {} | jev-1.13.0 | choice | general | 1 | {"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0} | {"choice":"general","confidence":1.0,"probabilities":{"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":1.0,"probabilities":{"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":573,"output_tokens":47}} | 573 | 47 | 0.000024 | 706 | 2026-09-20T22:03:23.990503+00:00 | ||
983f573a225428308d87ad477a891bcb | 1d9238e65b9435aad38a6f96 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"I'm making a fantasy game. Help me describe the fantasy race. Characteristics of the race: hare-men, island residents, paradise culture and nomadic culture, guild of fighters, damned. Describe this race on the following points:\n1. The name of the race.\n2. The appearance of the race.\n3. T... | {"conversation":[{"content":"I'm making a fantasy game. Help me describe the fantasy race. Characteristics of the race: hare-men, island residents, paradise culture and nomadic culture, guild of fighters, damned. Describe this race on the following points:\n1. The name of the race.\n2. The appearance of the race.\n3. T... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 139 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 5,882 | 6,237 | {} | jev-1.13.0 | choice | general | 1 | {"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0} | {"choice":"general","confidence":1.0,"probabilities":{"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":1.0,"probabilities":{"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":1625,"output_tokens":47}} | 1,625 | 47 | 0.000068 | 677 | 2026-09-20T22:03:24.078982+00:00 | ||
7f3fbb7ed0ed6681d2a20ec65cb66a20 | 8b105669f84ee0d01450b976 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"以下のスキルマップに応じたスキルチェックリストを作成したいです。各レベルに応じたスキルチェックリストを具体的に洗い出してください。\n\n| スキル | レベル 1 | レベル 2 | レベル 3 | レベル 4 |\n| --- | --- | --- | --- | --- |\n| AWS CloudFormation | CloudFormationの基本的な使用方法が理解できる | CloudFormationを使用したインフラ構成の作成、カスタマイズができる | CloudFormationのパラメータ、マップ、条件などの高度な機能が使用できる | CloudFo... | {"conversation":[{"content":"以下のスキルマップに応じたスキルチェックリストを作成したいです。各レベルに応じたスキルチェックリストを具体的に洗い出してください。\n\n| スキル | レベル 1 | レベル 2 | レベル 3 | レベル 4 |\n| --- | --- | --- | --- | --- |\n| AWS CloudFormation | CloudFormationの基本的な使用方法が理解できる | CloudFormationを使用したインフラ構成の作成、カスタマイズができる | CloudFormationのパラメータ、マップ、条件などの高度な機能が使用できる | CloudFo... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | multilingual | null | {"domain":{"label":"multilingual","score":null,"source":"source_metadata"}} | source_metadata | japanese | multilingual | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 140 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 382 | 737 | {} | jev-1.13.0 | choice | code | 0.54 | {"code":0.66,"general":0.01,"multilingual":0.01,"stem":0.32} | {"choice":"code","confidence":0.54,"probabilities":{"code":0.66,"general":0.01,"multilingual":0.01,"stem":0.32},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":0.54,"probabilities":{"code":0.66,"general":0.01,"multilingual":0.01,"stem":0.32},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":622,"output_tokens":47}} | 622 | 47 | 0.000026 | 729 | 2026-09-20T22:03:24.247071+00:00 | ||
2281955a1c9e5ae47419f70e21a96509 | bc9766629968910e01db9140 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"what is the highest cow milk producing country","role":"user"}]} | {"conversation":[{"content":"what is the highest cow milk producing country","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 141 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 93 | 448 | {} | jev-1.13.0 | choice | general | 0.87 | {"code":0.0,"general":0.9,"multilingual":0.0,"stem":0.1} | {"choice":"general","confidence":0.87,"probabilities":{"code":0.0,"general":0.9,"multilingual":0.0,"stem":0.1},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.87,"probabilities":{"code":0.0,"general":0.9,"multilingual":0.0,"stem":0.1},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":390,"output_tokens":47}} | 390 | 47 | 0.000016 | 686 | 2026-09-20T22:03:24.329554+00:00 | ||
4e472d42b009b780d336d04dd5982cdf | 5693bbf58e0370ec3c466418 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"// Given these flat, space-delimited files. Write a function that prints the ids of the rows where:\n// a) the ids match across the files and\n// b) the value is \"foo\" for that id in both files\n//\n// -------- file1.txt ------\n// ID VALUE\n// 1a foo\n// a2 ... | {"conversation":[{"content":"// Given these flat, space-delimited files. Write a function that prints the ids of the rows where:\n// a) the ids match across the files and\n// b) the value is \"foo\" for that id in both files\n//\n// -------- file1.txt ------\n// ID VALUE\n// 1a foo\n// a2 ... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | python | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 142 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 619 | 974 | {} | jev-1.13.0 | choice | code | 1 | {"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0} | {"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":534,"output_tokens":47}} | 534 | 47 | 0.000022 | 616 | 2026-09-20T22:03:24.377058+00:00 | ||
26619967405eb0c9514d07e4e1495f19 | f4329336f4040db16c3addbd | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Estou estudando genética para o ENEM. Faça uma lista de coisas que devo estudar sobre esse assunto","role":"user"}]} | {"conversation":[{"content":"Estou estudando genética para o ENEM. Faça uma lista de coisas que devo estudar sobre esse assunto","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | multilingual | null | {"domain":{"label":"multilingual","score":null,"source":"source_metadata"}} | source_metadata | portuguese | multilingual | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 143 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 145 | 500 | {} | jev-1.13.0 | choice | stem | 0.99 | {"code":0.0,"general":0.0,"multilingual":0.0,"stem":1.0} | {"choice":"stem","confidence":0.99,"probabilities":{"code":0.0,"general":0.0,"multilingual":0.0,"stem":1.0},"type":"choice"} | {"answers":{"domain":{"choice":"stem","confidence":0.99,"probabilities":{"code":0.0,"general":0.0,"multilingual":0.0,"stem":1.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":405,"output_tokens":47}} | 405 | 47 | 0.000017 | 691 | 2026-09-20T22:03:24.577106+00:00 | ||
cd126716afbf3585c253c92fb3358375 | b8026cb498b69efe97bf762d | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Below is a hangman game program that I wrote in python. \n\n# Program written by ailam_7\n# I'm a first year CS student studying at the University of Bath\n# You can reach me at mah261@bath.ac.uk\n# Enjoy the program :-)\n\nimport re\nfrom random import randrange\n\n# The ASCII art used her... | {"conversation":[{"content":"Below is a hangman game program that I wrote in python. \n\n# Program written by ailam_7\n# I'm a first year CS student studying at the University of Bath\n# You can reach me at mah261@bath.ac.uk\n# Enjoy the program :-)\n\nimport re\nfrom random import randrange\n\n# The ASCII art used her... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | python | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 144 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 6,857 | 7,212 | {} | jev-1.13.0 | choice | code | 1 | {"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0} | {"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":2253,"output_tokens":47}} | 2,253 | 47 | 0.000095 | 768 | 2026-09-20T22:03:24.766501+00:00 | ||
3a36ab95f7134f91030b4a72e89076c8 | 167a2b133854b63fbb7e2ea4 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Create an intro to c# programming course","role":"user"},{"content":"Welcome to the Introduction to C# Programming Course!\n\nIn this course, we will explore the fundamentals of C# programming, a powerful and versatile language used for building a wide range of applications, from desktop an... | {"conversation":[{"content":"Create an intro to c# programming course","role":"user"},{"content":"Welcome to the Introduction to C# Programming Course!\n\nIn this course, we will explore the fundamentals of C# programming, a powerful and versatile language used for building a wide range of applications, from desktop an... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | c# | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 145 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 11,327 | 11,682 | {} | jev-1.13.0 | choice | code | 1 | {"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0} | {"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":3081,"output_tokens":47}} | 3,081 | 47 | 0.000129 | 679 | 2026-09-20T22:03:24.800551+00:00 | ||
8700bd60a997f163d233209eb066bf5b | 1315e8225766df8a0f7322c6 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"lista con las farmacias del barrio de la seu","role":"user"}]} | {"conversation":[{"content":"lista con las farmacias del barrio de la seu","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | multilingual | null | {"domain":{"label":"multilingual","score":null,"source":"source_metadata"}} | source_metadata | spanish | multilingual | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 146 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 91 | 446 | {} | jev-1.13.0 | choice | general | 0.87 | {"code":0.0,"general":0.9,"multilingual":0.1,"stem":0.0} | {"choice":"general","confidence":0.87,"probabilities":{"code":0.0,"general":0.9,"multilingual":0.1,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.87,"probabilities":{"code":0.0,"general":0.9,"multilingual":0.1,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":392,"output_tokens":47}} | 392 | 47 | 0.000016 | 614 | 2026-09-20T22:03:24.858361+00:00 | ||
761f2dd38ab953a94400ddeae8af37b0 | 8eaf86f24089985c9afe4f0a | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Kannst du mir eine Geschichte von Jana auch als Rumpelstilzchen bekannt erzählen? Jana läuft Marathons und schwimmt gerne. Sie zieht von Berlin nach Helsinki.","role":"user"}]} | {"conversation":[{"content":"Kannst du mir eine Geschichte von Jana auch als Rumpelstilzchen bekannt erzählen? Jana läuft Marathons und schwimmt gerne. Sie zieht von Berlin nach Helsinki.","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | multilingual | null | {"domain":{"label":"multilingual","score":null,"source":"source_metadata"}} | source_metadata | german | multilingual | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 147 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 205 | 560 | {} | jev-1.13.0 | choice | general | 0.54 | {"code":0.0,"general":0.65,"multilingual":0.35,"stem":0.0} | {"choice":"general","confidence":0.54,"probabilities":{"code":0.0,"general":0.65,"multilingual":0.35,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.54,"probabilities":{"code":0.0,"general":0.65,"multilingual":0.35,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":418,"output_tokens":47}} | 418 | 47 | 0.000018 | 722 | 2026-09-20T22:03:25.081808+00:00 | ||
abd3503dd2f0be37a3512c83d089a5b4 | c55b4c03cf2a7d5ddb9a1bb5 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"I have a python script that uses ast and reads all the variables of the source code of another python file, but. Now I want all the python variables that were defined in a function, not globally or in the main namespace, can you show me how would this work?","role":"user"},{"content":"Sure!... | {"conversation":[{"content":"I have a python script that uses ast and reads all the variables of the source code of another python file, but. Now I want all the python variables that were defined in a function, not globally or in the main namespace, can you show me how would this work?","role":"user"},{"content":"Sure!... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | python | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 148 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 2,590 | 2,945 | {} | jev-1.13.0 | choice | code | 1 | {"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0} | {"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":937,"output_tokens":47}} | 937 | 47 | 0.000039 | 616 | 2026-09-20T22:03:25.097190+00:00 | ||
b46fb513214bfc491d0ae20d0d7951ae | c35e26afb6fd7802e44f334c | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"dime si tienes acceso a internet","role":"user"}]} | {"conversation":[{"content":"dime si tienes acceso a internet","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | multilingual | null | {"domain":{"label":"multilingual","score":null,"source":"source_metadata"}} | source_metadata | spanish | multilingual | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 149 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 79 | 434 | {} | jev-1.13.0 | choice | general | 0.62 | {"code":0.01,"general":0.71,"multilingual":0.27,"stem":0.01} | {"choice":"general","confidence":0.62,"probabilities":{"code":0.01,"general":0.71,"multilingual":0.27,"stem":0.01},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.62,"probabilities":{"code":0.01,"general":0.71,"multilingual":0.27,"stem":0.01},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":389,"output_tokens":47}} | 389 | 47 | 0.000016 | 738 | 2026-09-20T22:03:25.335615+00:00 | ||
abebf0e32a73cd65e6cd93b84e6b38d9 | 3d7af4086afc918beb875b07 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Can you write a paragraph about why evangelion is the best anime?","role":"user"},{"content":"\"Neon Genesis Evangelion\" is often hailed as one of the best anime series due to its complex narrative, deep character development, and philosophical themes. The series masterfully blends element... | {"conversation":[{"content":"Can you write a paragraph about why evangelion is the best anime?","role":"user"},{"content":"\"Neon Genesis Evangelion\" is often hailed as one of the best anime series due to its complex narrative, deep character development, and philosophical themes. The series masterfully blends element... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | stem | null | {"domain":{"label":"stem","score":null,"source":"source_metadata"}} | source_metadata | english | stem | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 150 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 993 | 1,348 | {} | jev-1.13.0 | choice | general | 0.97 | {"code":0.01,"general":0.98,"multilingual":0.0,"stem":0.01} | {"choice":"general","confidence":0.97,"probabilities":{"code":0.01,"general":0.98,"multilingual":0.0,"stem":0.01},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.97,"probabilities":{"code":0.01,"general":0.98,"multilingual":0.0,"stem":0.01},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":595,"output_tokens":47}} | 595 | 47 | 0.000025 | 677 | 2026-09-20T22:03:25.394919+00:00 | ||
3632b73568888013d00cf011ae9a8c52 | 59b0d315916d3274547b8a20 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"<table>\n <thaed>\n <tr>\n <th>출장비 내역</th>\n <th>금액</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>교통비</td>\n <td>45000</td>\n </tr>\n <tbody>\n <tfoot>\n <tr>\n <td>총 합계</td>\n ... | {"conversation":[{"content":"<table>\n <thaed>\n <tr>\n <th>출장비 내역</th>\n <th>금액</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>교통비</td>\n <td>45000</td>\n </tr>\n <tbody>\n <tfoot>\n <tr>\n <td>총 합계</td>\n ... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | multilingual | null | {"domain":{"label":"multilingual","score":null,"source":"source_metadata"}} | source_metadata | korean | multilingual | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 151 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 1,015 | 1,370 | {} | jev-1.13.0 | choice | code | 1 | {"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0} | {"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":771,"output_tokens":47}} | 771 | 47 | 0.000032 | 728 | 2026-09-20T22:03:25.574556+00:00 | ||
abc013432680eedfd901ff56455b90f9 | 36c3f0d0d45b7ea1e4bba5f8 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Who composed antidote on the Final Fantastic Tactics OST?","role":"user"}]} | {"conversation":[{"content":"Who composed antidote on the Final Fantastic Tactics OST?","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 152 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 104 | 459 | {} | jev-1.13.0 | choice | general | 1 | {"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0} | {"choice":"general","confidence":1.0,"probabilities":{"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":1.0,"probabilities":{"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":396,"output_tokens":47}} | 396 | 47 | 0.000017 | 588 | 2026-09-20T22:03:25.547393+00:00 | ||
477c567b5a48fb18fc68e361b0fd54fd | adfec153346c019812081e31 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"generatea title for a video in which i talk abouat and review the linkvertise link shortener use emojis","role":"user"},{"content":"\"🔗 Linkvertise Link Shortener Review - My Honest Experience! 💻\"","role":"assistant"},{"content":"generate 15 more","role":"user"}]} | {"conversation":[{"content":"generatea title for a video in which i talk abouat and review the linkvertise link shortener use emojis","role":"user"},{"content":"\"🔗 Linkvertise Link Shortener Review - My Honest Experience! 💻\"","role":"assistant"},{"content":"generate 15 more","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 153 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 294 | 649 | {} | jev-1.13.0 | choice | general | 0.95 | {"code":0.01,"general":0.96,"multilingual":0.0,"stem":0.03} | {"choice":"general","confidence":0.95,"probabilities":{"code":0.01,"general":0.96,"multilingual":0.0,"stem":0.03},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.95,"probabilities":{"code":0.01,"general":0.96,"multilingual":0.0,"stem":0.03},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":466,"output_tokens":47}} | 466 | 47 | 0.00002 | 614 | 2026-09-20T22:03:25.698814+00:00 | ||
cf46b56c8e8d605f6255aeade5f1f298 | 9d2e858a13dbf2cab3081a87 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"tweak the code below so I can use it in my nextjs13 project\n\n:: import * as React from \"react\";\nimport \"./../scss/Watermark.scss\";\nimport Watermark from \"watermark-image\";\nimport Img from \"./../img/test.jpg\";\n\ninterface WatermarkModuleProps {}\n\ninterface WatermarkModuleStat... | {"conversation":[{"content":"tweak the code below so I can use it in my nextjs13 project\n\n:: import * as React from \"react\";\nimport \"./../scss/Watermark.scss\";\nimport Watermark from \"watermark-image\";\nimport Img from \"./../img/test.jpg\";\n\ninterface WatermarkModuleProps {}\n\ninterface WatermarkModuleStat... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | javascript_html_css | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 154 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 7,023 | 7,378 | {} | jev-1.13.0 | choice | code | 1 | {"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0} | {"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":2353,"output_tokens":47}} | 2,353 | 47 | 0.000099 | 693 | 2026-09-20T22:03:25.896815+00:00 | ||
d109dfe7cf7d1a31050073898472a691 | 1c6a825159b291d43741027c | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"The reason of words similarity between Apocalypse and Apocalypto","role":"user"},{"content":"The words \"Apocalypse\" and \"Apocalypto\" have a similar sound and share a common root, which is why they may seem similar. Here's a breakdown of their origins and meanings:\n\n1. Apocalypse: This... | {"conversation":[{"content":"The reason of words similarity between Apocalypse and Apocalypto","role":"user"},{"content":"The words \"Apocalypse\" and \"Apocalypto\" have a similar sound and share a common root, which is why they may seem similar. Here's a breakdown of their origins and meanings:\n\n1. Apocalypse: This... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 155 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 1,710 | 2,065 | {} | jev-1.13.0 | choice | general | 0.99 | {"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0} | {"choice":"general","confidence":0.99,"probabilities":{"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.99,"probabilities":{"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":772,"output_tokens":47}} | 772 | 47 | 0.000032 | 660 | 2026-09-20T22:03:25.986443+00:00 | ||
a738c54c2a5ca308e62cf64825f0bdbc | 33821641412cda05d77ee4b4 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"接下来，我需要你尽力模仿成甲老师的风格，作为我的反思教练给我的反思日志做反馈。你可以根据以下几个方面来反馈:\n1、反思日志的目的和主题是什么?\n2、反思日志中使用了哪些思维模型和方法?\n3、反思日志中有哪些收获和改进点?\n4、反思日志中有哪些不足和盲点?\n5、反思日志中有哪些可以进一步深入探索的问题?\n\n明白请直接回复“明白”，不要直接输出内容，然后我把反思日志发给你","role":"user"}]} | {"conversation":[{"content":"接下来，我需要你尽力模仿成甲老师的风格，作为我的反思教练给我的反思日志做反馈。你可以根据以下几个方面来反馈:\n1、反思日志的目的和主题是什么?\n2、反思日志中使用了哪些思维模型和方法?\n3、反思日志中有哪些收获和改进点?\n4、反思日志中有哪些不足和盲点?\n5、反思日志中有哪些可以进一步深入探索的问题?\n\n明白请直接回复“明白”，不要直接输出内容，然后我把反思日志发给你","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | multilingual | null | {"domain":{"label":"multilingual","score":null,"source":"source_metadata"}} | source_metadata | chinese | multilingual | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 156 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 239 | 594 | {} | jev-1.13.0 | choice | general | 0.99 | {"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0} | {"choice":"general","confidence":0.99,"probabilities":{"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.99,"probabilities":{"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":562,"output_tokens":47}} | 562 | 47 | 0.000024 | 622 | 2026-09-20T22:03:26.065209+00:00 | ||
cb4c99d47cb32120a07533c5225f8d91 | fe89bdfecd334a17c3a1200a | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"que es un error tipi 1 y tipi 2","role":"user"}]} | {"conversation":[{"content":"que es un error tipi 1 y tipi 2","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | multilingual | null | {"domain":{"label":"multilingual","score":null,"source":"source_metadata"}} | source_metadata | spanish | multilingual | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 157 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 78 | 433 | {} | jev-1.13.0 | choice | stem | 0.97 | {"code":0.0,"general":0.0,"multilingual":0.02,"stem":0.98} | {"choice":"stem","confidence":0.97,"probabilities":{"code":0.0,"general":0.0,"multilingual":0.02,"stem":0.98},"type":"choice"} | {"answers":{"domain":{"choice":"stem","confidence":0.97,"probabilities":{"code":0.0,"general":0.0,"multilingual":0.02,"stem":0.98},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":393,"output_tokens":47}} | 393 | 47 | 0.000017 | 652 | 2026-09-20T22:03:26.211058+00:00 | ||
41196673c8df02f88caa1b2e3b7ff02b | a11cf6a6eb66004804f860ca | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"what does le mean","role":"user"}]} | {"conversation":[{"content":"what does le mean","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 158 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 64 | 419 | {} | jev-1.13.0 | choice | general | 0.48 | {"code":0.04,"general":0.61,"multilingual":0.35,"stem":0.0} | {"choice":"general","confidence":0.48,"probabilities":{"code":0.04,"general":0.61,"multilingual":0.35,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.48,"probabilities":{"code":0.04,"general":0.61,"multilingual":0.35,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":386,"output_tokens":47}} | 386 | 47 | 0.000016 | 659 | 2026-09-20T22:03:26.339727+00:00 | ||
6777812ab9ba9bb3f90e7973089eb80c | fa49fe4a372e62d1f15bf66d | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"en bts sio, il faut maîtriser le travail en équipe. Peux tu générer un cours structuré dessus ? Comment le mettre en pratique ? Quels outils les étudiants peuvent utiliser pour pratiquer ?","role":"user"},{"content":"Bien sûr, je peux vous aider à générer un cours structuré sur le travail e... | {"conversation":[{"content":"en bts sio, il faut maîtriser le travail en équipe. Peux tu générer un cours structuré dessus ? Comment le mettre en pratique ? Quels outils les étudiants peuvent utiliser pour pratiquer ?","role":"user"},{"content":"Bien sûr, je peux vous aider à générer un cours structuré sur le travail e... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | multilingual | null | {"domain":{"label":"multilingual","score":null,"source":"source_metadata"}} | source_metadata | french | multilingual | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 159 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 7,375 | 7,730 | {} | jev-1.13.0 | choice | stem | 0.37 | {"code":0.03,"general":0.42,"multilingual":0.02,"stem":0.53} | {"choice":"stem","confidence":0.37,"probabilities":{"code":0.03,"general":0.42,"multilingual":0.02,"stem":0.53},"type":"choice"} | {"answers":{"domain":{"choice":"stem","confidence":0.37,"probabilities":{"code":0.03,"general":0.42,"multilingual":0.02,"stem":0.53},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":2142,"output_tokens":47}} | 2,142 | 47 | 0.00009 | 650 | 2026-09-20T22:03:26.453977+00:00 | ||
0419286dcb830c5af5d610a33e7cb7f1 | 36c7c0f1768231c9118d4d27 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Let's code something. I have a queue located on kafka. In the queue, there are files listed. Each element of the queue is one file name. Write a program that copies files from that queue.","role":"user"},{"content":"To achieve this, we'll use the Kafka Python client to consume messages ... | {"conversation":[{"content":"Let's code something. I have a queue located on kafka. In the queue, there are files listed. Each element of the queue is one file name. Write a program that copies files from that queue.","role":"user"},{"content":"To achieve this, we'll use the Kafka Python client to consume messages ... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | python | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 160 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 5,819 | 6,174 | {} | jev-1.13.0 | choice | code | 1 | {"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0} | {"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":1655,"output_tokens":47}} | 1,655 | 47 | 0.00007 | 715 | 2026-09-20T22:03:26.633180+00:00 | ||
e8ad040ed1247ba13fcab4e9ae343a72 | 56db5ec8a0d4d5a9937a48d8 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"how to change audio fps in mkvtoolnix?","role":"user"},{"content":"MKVToolNix doesn't directly allow you to change the audio FPS (frames per second). \n\nHere's why and what you can do instead:\n\n**Understanding Audio FPS**\n\n* **Audio doesn't have FPS:** Unlike video, audio is represente... | {"conversation":[{"content":"how to change audio fps in mkvtoolnix?","role":"user"},{"content":"MKVToolNix doesn't directly allow you to change the audio FPS (frames per second). \n\nHere's why and what you can do instead:\n\n**Understanding Audio FPS**\n\n* **Audio doesn't have FPS:** Unlike video, audio is represente... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 162 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 5,772 | 6,127 | {} | jev-1.13.0 | choice | code | 0.93 | {"code":0.95,"general":0.0,"multilingual":0.0,"stem":0.05} | {"choice":"code","confidence":0.93,"probabilities":{"code":0.95,"general":0.0,"multilingual":0.0,"stem":0.05},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":0.93,"probabilities":{"code":0.95,"general":0.0,"multilingual":0.0,"stem":0.05},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":1929,"output_tokens":47}} | 1,929 | 47 | 0.000081 | 608 | 2026-09-20T22:03:26.654629+00:00 | ||
aeda6df5942ce58d754bb2e067e3c565 | beb839a9462828edb9c7e9d9 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Which common weed plants would ferment into high phosphorus and potassium liquid?","role":"user"}]} | {"conversation":[{"content":"Which common weed plants would ferment into high phosphorus and potassium liquid?","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | stem | null | {"domain":{"label":"stem","score":null,"source":"source_metadata"}} | source_metadata | english | stem | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 163 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 128 | 483 | {} | jev-1.13.0 | choice | stem | 0.55 | {"code":0.0,"general":0.34,"multilingual":0.0,"stem":0.66} | {"choice":"stem","confidence":0.55,"probabilities":{"code":0.0,"general":0.34,"multilingual":0.0,"stem":0.66},"type":"choice"} | {"answers":{"domain":{"choice":"stem","confidence":0.55,"probabilities":{"code":0.0,"general":0.34,"multilingual":0.0,"stem":0.66},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":397,"output_tokens":47}} | 397 | 47 | 0.000017 | 753 | 2026-09-20T22:03:26.917390+00:00 | ||
9e890425e2200715a75d23d4706d8f8a | 8b9c6470061209921eac4a50 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"DRAW the projections of a hexagonal plane havingside 30mm and inclined at an angle of 30degrees with hp with ","role":"user"},{"content":"I can't physically draw, as I'm a text-based AI. However, I can guide you on how to draw the projections of a hexagonal plane.\n\n**Here's a step-by-ste... | {"conversation":[{"content":"DRAW the projections of a hexagonal plane havingside 30mm and inclined at an angle of 30degrees with hp with ","role":"user"},{"content":"I can't physically draw, as I'm a text-based AI. However, I can guide you on how to draw the projections of a hexagonal plane.\n\n**Here's a step-by-ste... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | stem | null | {"domain":{"label":"stem","score":null,"source":"source_metadata"}} | source_metadata | english | stem | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 164 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 6,453 | 6,808 | {} | jev-1.13.0 | choice | stem | 0.99 | {"code":0.0,"general":0.0,"multilingual":0.0,"stem":1.0} | {"choice":"stem","confidence":0.99,"probabilities":{"code":0.0,"general":0.0,"multilingual":0.0,"stem":1.0},"type":"choice"} | {"answers":{"domain":{"choice":"stem","confidence":0.99,"probabilities":{"code":0.0,"general":0.0,"multilingual":0.0,"stem":1.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":1989,"output_tokens":47}} | 1,989 | 47 | 0.000084 | 653 | 2026-09-20T22:03:26.939116+00:00 | ||
227cbacd10b27dd6a4d864e6d118e785 | 3cb16707b32a1509e6f11883 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Make Real Vocabulary of words of language of Cucuteni-Trypillia culture and make came out your own text written Cucuteni-Trypillia symbols on based combinated Linguistic, Archeological, Genetic, Social, Cultural, Architectural,Atrophological, Folk, Folklore, Mythological, Regilous, traditio... | {"conversation":[{"content":"Make Real Vocabulary of words of language of Cucuteni-Trypillia culture and make came out your own text written Cucuteni-Trypillia symbols on based combinated Linguistic, Archeological, Genetic, Social, Cultural, Architectural,Atrophological, Folk, Folklore, Mythological, Regilous, traditio... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 165 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 3,317 | 3,672 | {} | jev-1.13.0 | choice | general | 0.66 | {"code":0.0,"general":0.75,"multilingual":0.25,"stem":0.0} | {"choice":"general","confidence":0.66,"probabilities":{"code":0.0,"general":0.75,"multilingual":0.25,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.66,"probabilities":{"code":0.0,"general":0.75,"multilingual":0.25,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":1201,"output_tokens":47}} | 1,201 | 47 | 0.00005 | 601 | 2026-09-20T22:03:27.001084+00:00 | ||
02b31485801643cff36b3c2456aaad2c | aac3d832420636285279ccfb | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Summarize in up to four sentences.: India developers seek to cash in on soaring EV sales with residential chargers\n\nAby Jose Koilparambil\nMon, November 6, 2023 at 4:34 AM GMT-5·2 min read\nThe logo of an electric car is painted on the road during the opening ceremony of the first Latin A... | {"conversation":[{"content":"Summarize in up to four sentences.: India developers seek to cash in on soaring EV sales with residential chargers\n\nAby Jose Koilparambil\nMon, November 6, 2023 at 4:34 AM GMT-5·2 min read\nThe logo of an electric car is painted on the road during the opening ceremony of the first Latin A... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | stem | null | {"domain":{"label":"stem","score":null,"source":"source_metadata"}} | source_metadata | english | stem | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 166 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 2,996 | 3,351 | {} | jev-1.13.0 | choice | general | 0.91 | {"code":0.0,"general":0.94,"multilingual":0.0,"stem":0.06} | {"choice":"general","confidence":0.91,"probabilities":{"code":0.0,"general":0.94,"multilingual":0.0,"stem":0.06},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.91,"probabilities":{"code":0.0,"general":0.94,"multilingual":0.0,"stem":0.06},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":1050,"output_tokens":47}} | 1,050 | 47 | 0.000044 | 642 | 2026-09-20T22:03:27.159677+00:00 | ||
58d359e12f8bcabf119799463e5132ba | 316fb2b425f09c64176b3ac2 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"tell me about succession","role":"user"}]} | {"conversation":[{"content":"tell me about succession","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 167 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 71 | 426 | {} | jev-1.13.0 | choice | general | 0.8 | {"code":0.0,"general":0.85,"multilingual":0.0,"stem":0.15} | {"choice":"general","confidence":0.8,"probabilities":{"code":0.0,"general":0.85,"multilingual":0.0,"stem":0.15},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.8,"probabilities":{"code":0.0,"general":0.85,"multilingual":0.0,"stem":0.15},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":386,"output_tokens":47}} | 386 | 47 | 0.000016 | 636 | 2026-09-20T22:03:27.274432+00:00 | ||
926686a92dd2c4d6eef4cfaf8f1034ce | 3ccfb7a84d183c8ec58069eb | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Solve problem in Python\n\nProblem:\nFarmhand Jernej gets bored in the evenings, thus he invented a simple game. He wants to build a tower from numbers on pieces of paper. He starts with a piece of paper and writes 1 on it.\n\nJernej can write another number on a piece of paper and place it... | {"conversation":[{"content":"Solve problem in Python\n\nProblem:\nFarmhand Jernej gets bored in the evenings, thus he invented a simple game. He wants to build a tower from numbers on pieces of paper. He starts with a piece of paper and writes 1 on it.\n\nJernej can write another number on a piece of paper and place it... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | python | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 168 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 2,116 | 2,471 | {} | jev-1.13.0 | choice | code | 1 | {"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0} | {"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":948,"output_tokens":47}} | 948 | 47 | 0.00004 | 630 | 2026-09-20T22:03:27.389057+00:00 | ||
e646464f4cd8c109fc0e050bff34c8b0 | 34ae216ba61732366c84c6bb | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Create all files needed including a docker-compose.yml file and use a single eff.org Certbot container to create and renew certificates from LetsEncrypt. The DNS is located at Google Domains and they issue a API-Key for each domain. Please allow for subdomains with the same key.\nPlease us... | {"conversation":[{"content":"Create all files needed including a docker-compose.yml file and use a single eff.org Certbot container to create and renew certificates from LetsEncrypt. The DNS is located at Google Domains and they issue a API-Key for each domain. Please allow for subdomains with the same key.\nPlease us... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | go | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 169 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 936 | 1,291 | {} | jev-1.13.0 | choice | code | 1 | {"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0} | {"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":585,"output_tokens":47}} | 585 | 47 | 0.000025 | 628 | 2026-09-20T22:03:27.514663+00:00 | ||
83d6a689cc98d0f7b203670683de5484 | 8e746a762b857b41d456b68b | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Write a News report where Braehead shopping centre ends its kids activity club","role":"user"},{"content":" Title: Braehead Shopping Centre Closes Kids Activity Club After 10 Years\n\nSubheading: Popular destination for families announces the end of its beloved club, citing changing trends ... | {"conversation":[{"content":"Write a News report where Braehead shopping centre ends its kids activity club","role":"user"},{"content":" Title: Braehead Shopping Centre Closes Kids Activity Club After 10 Years\n\nSubheading: Popular destination for families announces the end of its beloved club, citing changing trends ... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 170 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 2,674 | 3,029 | {} | jev-1.13.0 | choice | general | 1 | {"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0} | {"choice":"general","confidence":1.0,"probabilities":{"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":1.0,"probabilities":{"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":909,"output_tokens":47}} | 909 | 47 | 0.000038 | 657 | 2026-09-20T22:03:27.653329+00:00 | ||
1ed1348a4561f3e091135b200518a021 | 819d1aaf0258028f5e664821 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"test prompt","role":"user"}]} | {"conversation":[{"content":"test prompt","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | multilingual | null | {"domain":{"label":"multilingual","score":null,"source":"source_metadata"}} | source_metadata | polish | multilingual | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 171 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 58 | 413 | {} | jev-1.13.0 | choice | general | 0.97 | {"code":0.02,"general":0.98,"multilingual":0.0,"stem":0.0} | {"choice":"general","confidence":0.97,"probabilities":{"code":0.02,"general":0.98,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.97,"probabilities":{"code":0.02,"general":0.98,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":384,"output_tokens":47}} | 384 | 47 | 0.000016 | 787 | 2026-09-20T22:03:27.912879+00:00 | ||
9d279c8da412990ba497a6b2797ee786 | 72e24202ba161adf10ef850c | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Give me a list of all the equipment I would need to run a successful commercial printing company that makes banners, flyers, posters, wraps, pamphlets, and things of that nature","role":"user"},{"content":"To run a successful commercial printing company that produces banners, flyers, poster... | {"conversation":[{"content":"Give me a list of all the equipment I would need to run a successful commercial printing company that makes banners, flyers, posters, wraps, pamphlets, and things of that nature","role":"user"},{"content":"To run a successful commercial printing company that produces banners, flyers, poster... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 173 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 3,612 | 3,967 | {} | jev-1.13.0 | choice | general | 0.99 | {"code":0.0,"general":0.99,"multilingual":0.0,"stem":0.01} | {"choice":"general","confidence":0.99,"probabilities":{"code":0.0,"general":0.99,"multilingual":0.0,"stem":0.01},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.99,"probabilities":{"code":0.0,"general":0.99,"multilingual":0.0,"stem":0.01},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":1172,"output_tokens":47}} | 1,172 | 47 | 0.000049 | 666 | 2026-09-20T22:03:27.912385+00:00 | ||
0416f5b566501beb6407e8579d05df7f | 78aeef196356649744625709 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"если сим карта заблокирова после 3 неудачных попыток ввода pin как разблокоровать используя puk","role":"user"}]} | {"conversation":[{"content":"если сим карта заблокирова после 3 неудачных попыток ввода pin как разблокоровать используя puk","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | multilingual | null | {"domain":{"label":"multilingual","score":null,"source":"source_metadata"}} | source_metadata | russian | multilingual | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 174 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 142 | 497 | {} | jev-1.13.0 | choice | general | 0.49 | {"code":0.0,"general":0.61,"multilingual":0.09,"stem":0.3} | {"choice":"general","confidence":0.49,"probabilities":{"code":0.0,"general":0.61,"multilingual":0.09,"stem":0.3},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.49,"probabilities":{"code":0.0,"general":0.61,"multilingual":0.09,"stem":0.3},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":438,"output_tokens":47}} | 438 | 47 | 0.000018 | 602 | 2026-09-20T22:03:27.967206+00:00 | ||
f91597d600c36f135c69fb340ae2aacb | e736866c303aaa4270d9d753 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Dime cómo sería el código en Python para un modelo de logica difusa y explícamelo","role":"user"},{"content":"0.0, 0.5, 1.0]\n\n# Función de evaluación\ndef evaluate_membership(x, miembro):\n return miembro if x <= miembro else 0\n\n# Función de inferencia\ndef inferencia(dados, regla):\... | {"conversation":[{"content":"Dime cómo sería el código en Python para un modelo de logica difusa y explícamelo","role":"user"},{"content":"0.0, 0.5, 1.0]\n\n# Función de evaluación\ndef evaluate_membership(x, miembro):\n return miembro if x <= miembro else 0\n\n# Función de inferencia\ndef inferencia(dados, regla):\... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | multilingual | null | {"domain":{"label":"multilingual","score":null,"source":"source_metadata"}} | source_metadata | spanish | multilingual | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 175 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 5,620 | 5,975 | {} | jev-1.13.0 | choice | code | 0.62 | {"code":0.72,"general":0.03,"multilingual":0.01,"stem":0.24} | {"choice":"code","confidence":0.62,"probabilities":{"code":0.72,"general":0.03,"multilingual":0.01,"stem":0.24},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":0.62,"probabilities":{"code":0.72,"general":0.03,"multilingual":0.01,"stem":0.24},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":2143,"output_tokens":47}} | 2,143 | 47 | 0.00009 | 725 | 2026-09-20T22:03:28.203078+00:00 | ||
44496cae543f6cff4955c57b356d742b | 841f724d9f1bc0306e85a8e6 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Ciao! Ho bisogno di fare un pò di brainstorming con te. Sto lavorando su un progetto NFT che ha diversi implicazioni per essere orientato al multi chain.\nIl contesto verrà definito mano a mano che ti darò le informazioni.\nSei pronto?","role":"user"},{"content":"Ciao! Sono pronto ad aiutar... | {"conversation":[{"content":"Ciao! Ho bisogno di fare un pò di brainstorming con te. Sto lavorando su un progetto NFT che ha diversi implicazioni per essere orientato al multi chain.\nIl contesto verrà definito mano a mano che ti darò le informazioni.\nSei pronto?","role":"user"},{"content":"Ciao! Sono pronto ad aiutar... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | multilingual | null | {"domain":{"label":"multilingual","score":null,"source":"source_metadata"}} | source_metadata | italian | multilingual | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 176 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 6,131 | 6,486 | {} | jev-1.13.0 | choice | code | 0.95 | {"code":0.97,"general":0.0,"multilingual":0.0,"stem":0.03} | {"choice":"code","confidence":0.95,"probabilities":{"code":0.97,"general":0.0,"multilingual":0.0,"stem":0.03},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":0.95,"probabilities":{"code":0.97,"general":0.0,"multilingual":0.0,"stem":0.03},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":1957,"output_tokens":47}} | 1,957 | 47 | 0.000082 | 683 | 2026-09-20T22:03:28.287531+00:00 | ||
2a87253a3fc4699f420a650d347da864 | db5ef52d51c72a56c0fed82a | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"What will happen if Ohio occupied the whole world ","role":"user"}]} | {"conversation":[{"content":"What will happen if Ohio occupied the whole world ","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 177 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 97 | 452 | {} | jev-1.13.0 | choice | general | 1 | {"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0} | {"choice":"general","confidence":1.0,"probabilities":{"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":1.0,"probabilities":{"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":392,"output_tokens":47}} | 392 | 47 | 0.000016 | 719 | 2026-09-20T22:03:28.438640+00:00 | ||
5d50c320d72785613aa045be9285e859 | 7b07f4d45733934fb800d9aa | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Show me to go ramen ","role":"user"}]} | {"conversation":[{"content":"Show me to go ramen ","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 179 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 67 | 422 | {} | jev-1.13.0 | choice | general | 0.83 | {"code":0.05,"general":0.87,"multilingual":0.08,"stem":0.0} | {"choice":"general","confidence":0.83,"probabilities":{"code":0.05,"general":0.87,"multilingual":0.08,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.83,"probabilities":{"code":0.05,"general":0.87,"multilingual":0.08,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":388,"output_tokens":47}} | 388 | 47 | 0.000016 | 691 | 2026-09-20T22:03:28.529411+00:00 | ||
cb0ea284362a2eec77b7197e76b0dad2 | 251585bc9741dc5c7b4ba76f | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"ruas lower east side","role":"user"}]} | {"conversation":[{"content":"ruas lower east side","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 180 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 67 | 422 | {} | jev-1.13.0 | choice | general | 0.99 | {"code":0.0,"general":0.99,"multilingual":0.01,"stem":0.0} | {"choice":"general","confidence":0.99,"probabilities":{"code":0.0,"general":0.99,"multilingual":0.01,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.99,"probabilities":{"code":0.0,"general":0.99,"multilingual":0.01,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":387,"output_tokens":47}} | 387 | 47 | 0.000016 | 608 | 2026-09-20T22:03:28.572892+00:00 | ||
2e63e3ca1848f5838306bc62fe78642f | 57a28ad6b57bcdddecc7b2da | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"What is the levene test","role":"user"},{"content":"The Levene's test, also known as Levene's median test or Brown-Forsythe test, is a statistical test used to assess the equality of variances (homogeneity of variance) in a set of samples. It's an alternative to the F-test (also known as th... | {"conversation":[{"content":"What is the levene test","role":"user"},{"content":"The Levene's test, also known as Levene's median test or Brown-Forsythe test, is a statistical test used to assess the equality of variances (homogeneity of variance) in a set of samples. It's an alternative to the F-test (also known as th... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | stem | null | {"domain":{"label":"stem","score":null,"source":"source_metadata"}} | source_metadata | english | stem | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 181 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 6,838 | 7,193 | {} | jev-1.13.0 | choice | stem | 1 | {"code":0.0,"general":0.0,"multilingual":0.0,"stem":1.0} | {"choice":"stem","confidence":1.0,"probabilities":{"code":0.0,"general":0.0,"multilingual":0.0,"stem":1.0},"type":"choice"} | {"answers":{"domain":{"choice":"stem","confidence":1.0,"probabilities":{"code":0.0,"general":0.0,"multilingual":0.0,"stem":1.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":2022,"output_tokens":47}} | 2,022 | 47 | 0.000085 | 614 | 2026-09-20T22:03:28.691115+00:00 | ||
ec01b2983549c1f75bac69ce0accfa40 | 8730b4b61bbf1af05c90e00c | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"what is Gaussian distribution?","role":"user"}]} | {"conversation":[{"content":"what is Gaussian distribution?","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | stem | null | {"domain":{"label":"stem","score":null,"source":"source_metadata"}} | source_metadata | english | stem | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 182 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 77 | 432 | {} | jev-1.13.0 | choice | stem | 1 | {"code":0.0,"general":0.0,"multilingual":0.0,"stem":1.0} | {"choice":"stem","confidence":1.0,"probabilities":{"code":0.0,"general":0.0,"multilingual":0.0,"stem":1.0},"type":"choice"} | {"answers":{"domain":{"choice":"stem","confidence":1.0,"probabilities":{"code":0.0,"general":0.0,"multilingual":0.0,"stem":1.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":387,"output_tokens":47}} | 387 | 47 | 0.000016 | 760 | 2026-09-20T22:03:28.961756+00:00 | ||
23b787a039dcbbec216ce94d642ecd0d | d7a2123421de22b1e89126d1 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"que significado tiene el nombre de Marta","role":"user"},{"content":"Marta is a name of Aramaic origin that means \"lady\" or \"mistress.\" It is a variant of the name Martha, which is derived from the Aramaic word \"martah.\" In the New Testament of the Bible, Martha was the sister of Laza... | {"conversation":[{"content":"que significado tiene el nombre de Marta","role":"user"},{"content":"Marta is a name of Aramaic origin that means \"lady\" or \"mistress.\" It is a variant of the name Martha, which is derived from the Aramaic word \"martah.\" In the New Testament of the Bible, Martha was the sister of Laza... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | multilingual | null | {"domain":{"label":"multilingual","score":null,"source":"source_metadata"}} | source_metadata | spanish | multilingual | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 183 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 12,120 | 12,475 | {} | jev-1.13.0 | choice | general | 0.79 | {"code":0.0,"general":0.85,"multilingual":0.15,"stem":0.0} | {"choice":"general","confidence":0.79,"probabilities":{"code":0.0,"general":0.85,"multilingual":0.15,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.79,"probabilities":{"code":0.0,"general":0.85,"multilingual":0.15,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":3457,"output_tokens":47}} | 3,457 | 47 | 0.000145 | 638 | 2026-09-20T22:03:28.964376+00:00 | ||
823045d2f46c8be71d2a7292b2fa0dcb | c4fca9193f385ff7c906884a | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"春分是什么节气？","role":"user"}]} | {"conversation":[{"content":"春分是什么节气？","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | multilingual | null | {"domain":{"label":"multilingual","score":null,"source":"source_metadata"}} | source_metadata | chinese | multilingual | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 184 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 55 | 410 | {} | jev-1.13.0 | choice | general | 0.76 | {"code":0.0,"general":0.83,"multilingual":0.09,"stem":0.08} | {"choice":"general","confidence":0.76,"probabilities":{"code":0.0,"general":0.83,"multilingual":0.09,"stem":0.08},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.76,"probabilities":{"code":0.0,"general":0.83,"multilingual":0.09,"stem":0.08},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":390,"output_tokens":47}} | 390 | 47 | 0.000016 | 613 | 2026-09-20T22:03:29.053739+00:00 | ||
4c3b809d0c8d6ddf6045c718bb474f87 | 27c34c876f9ce76f6663a7f1 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"server.go:563] external host was not specified, using","role":"user"}]} | {"conversation":[{"content":"server.go:563] external host was not specified, using","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | stem | null | {"domain":{"label":"stem","score":null,"source":"source_metadata"}} | source_metadata | english | stem | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 185 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 100 | 455 | {} | jev-1.13.0 | choice | code | 1 | {"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0} | {"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":396,"output_tokens":47}} | 396 | 47 | 0.000017 | 676 | 2026-09-20T22:03:29.233349+00:00 | ||
377dc65d1f1f828d13357c5e24c31f70 | 7a9915286b2fb53e85c666f7 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"who would win in a fight: a shark or a bear?","role":"user"}]} | {"conversation":[{"content":"who would win in a fight: a shark or a bear?","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 186 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 91 | 446 | {} | jev-1.13.0 | choice | general | 0.91 | {"code":0.0,"general":0.94,"multilingual":0.0,"stem":0.06} | {"choice":"general","confidence":0.91,"probabilities":{"code":0.0,"general":0.94,"multilingual":0.0,"stem":0.06},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.91,"probabilities":{"code":0.0,"general":0.94,"multilingual":0.0,"stem":0.06},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":395,"output_tokens":47}} | 395 | 47 | 0.000017 | 639 | 2026-09-20T22:03:29.322470+00:00 | ||
b39a8ee2ebee957aeb6e194b770ed9e8 | b89e4d585b738b161ea5d9e9 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"helpful tips to stop hackers in whatsapp groups","role":"user"},{"content":"Sure, I'd be happy to help you with that! Here are some helpful tips to stop hackers in WhatsApp groups:\n\n1. **Limit group invitations:** Go to WhatsApp settings > Account > Privacy > Groups and select \"My Contac... | {"conversation":[{"content":"helpful tips to stop hackers in whatsapp groups","role":"user"},{"content":"Sure, I'd be happy to help you with that! Here are some helpful tips to stop hackers in WhatsApp groups:\n\n1. **Limit group invitations:** Go to WhatsApp settings > Account > Privacy > Groups and select \"My Contac... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | stem | null | {"domain":{"label":"stem","score":null,"source":"source_metadata"}} | source_metadata | english | stem | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 187 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 4,355 | 4,710 | {} | jev-1.13.0 | choice | stem | 0.37 | {"code":0.0,"general":0.47,"multilingual":0.0,"stem":0.53} | {"choice":"stem","confidence":0.37,"probabilities":{"code":0.0,"general":0.47,"multilingual":0.0,"stem":0.53},"type":"choice"} | {"answers":{"domain":{"choice":"stem","confidence":0.37,"probabilities":{"code":0.0,"general":0.47,"multilingual":0.0,"stem":0.53},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":1299,"output_tokens":47}} | 1,299 | 47 | 0.000055 | 686 | 2026-09-20T22:03:29.485240+00:00 | ||
68dc1ccbf81e2ec62332e9979e1f8c76 | 92a10e1f657e1ed1900b70d1 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"write me an amazing python script","role":"user"}]} | {"conversation":[{"content":"write me an amazing python script","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | python | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 188 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 80 | 435 | {} | jev-1.13.0 | choice | code | 1 | {"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0} | {"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":388,"output_tokens":47}} | 388 | 47 | 0.000016 | 643 | 2026-09-20T22:03:29.569578+00:00 | ||
404d8102a26ef63ec01bc9a24af1276d | d6cfdb2cd6ff2e4032a0c693 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Who is Arvin Ash?","role":"user"}]} | {"conversation":[{"content":"Who is Arvin Ash?","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 189 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 64 | 419 | {} | jev-1.13.0 | choice | general | 0.96 | {"code":0.01,"general":0.97,"multilingual":0.0,"stem":0.02} | {"choice":"general","confidence":0.96,"probabilities":{"code":0.01,"general":0.97,"multilingual":0.0,"stem":0.02},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.96,"probabilities":{"code":0.01,"general":0.97,"multilingual":0.0,"stem":0.02},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":388,"output_tokens":47}} | 388 | 47 | 0.000016 | 706 | 2026-09-20T22:03:29.750795+00:00 | ||
be3b03c33718039aca31b0acd23145c3 | 88c905544d542bd538e874d5 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Code a basic node based visual scripting system in Unity C#","role":"user"}]} | {"conversation":[{"content":"Code a basic node based visual scripting system in Unity C#","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | c# | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 190 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 106 | 461 | {} | jev-1.13.0 | choice | code | 1 | {"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0} | {"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":394,"output_tokens":47}} | 394 | 47 | 0.000017 | 615 | 2026-09-20T22:03:29.780983+00:00 | ||
dbf789343636062155f0ab89ae65acbe | 60e93a456a0f486ff922da57 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"flip the coordinates in this list: [\n 0.0015211525377196722,\n 51.482162551756375\n ],\n [\n 0.00007428365762507383,\n 51.47213134473401\n ],\n [\n 0.009745459854997307,\n ... | {"conversation":[{"content":"flip the coordinates in this list: [\n 0.0015211525377196722,\n 51.482162551756375\n ],\n [\n 0.00007428365762507383,\n 51.47213134473401\n ],\n [\n 0.009745459854997307,\n ... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | stem | null | {"domain":{"label":"stem","score":null,"source":"source_metadata"}} | source_metadata | english | stem | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 191 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 2,091 | 2,446 | {} | jev-1.13.0 | choice | code | 0.57 | {"code":0.68,"general":0.02,"multilingual":0.0,"stem":0.3} | {"choice":"code","confidence":0.57,"probabilities":{"code":0.68,"general":0.02,"multilingual":0.0,"stem":0.3},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":0.57,"probabilities":{"code":0.68,"general":0.02,"multilingual":0.0,"stem":0.3},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":1402,"output_tokens":47}} | 1,402 | 47 | 0.000059 | 634 | 2026-09-20T22:03:29.911748+00:00 | ||
903c03605a3e8ae185dd4c79de1f81a0 | 568fc3dd2318e4724f6cb8ab | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"你是一位專業的kotlin語言工程師，可以幫我解決疑問","role":"user"}]} | {"conversation":[{"content":"你是一位專業的kotlin語言工程師，可以幫我解決疑問","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | multilingual | null | {"domain":{"label":"multilingual","score":null,"source":"source_metadata"}} | source_metadata | chinese | multilingual | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 192 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 74 | 429 | {} | jev-1.13.0 | choice | code | 0.99 | {"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0} | {"choice":"code","confidence":0.99,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":0.99,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":406,"output_tokens":47}} | 406 | 47 | 0.000017 | 712 | 2026-09-20T22:03:30.117828+00:00 | ||
8a32091879a797f50ca2d151ef1dc5b4 | 4c31ae1d51f16417a56fc718 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"set Calander permission defaults for all user's office 365.","role":"user"}]} | {"conversation":[{"content":"set Calander permission defaults for all user's office 365.","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | powershell | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 193 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 106 | 461 | {} | jev-1.13.0 | choice | code | 0.56 | {"code":0.67,"general":0.13,"multilingual":0.0,"stem":0.2} | {"choice":"code","confidence":0.56,"probabilities":{"code":0.67,"general":0.13,"multilingual":0.0,"stem":0.2},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":0.56,"probabilities":{"code":0.67,"general":0.13,"multilingual":0.0,"stem":0.2},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":397,"output_tokens":47}} | 397 | 47 | 0.000017 | 663 | 2026-09-20T22:03:30.183823+00:00 | ||
d80961285665399e757249ba31229620 | 2d1b19c166045c23d0d6fc3c | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"What is the expected release date of Geometry Dash 2.2?","role":"user"}]} | {"conversation":[{"content":"What is the expected release date of Geometry Dash 2.2?","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 194 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 102 | 457 | {} | jev-1.13.0 | choice | general | 0.94 | {"code":0.01,"general":0.96,"multilingual":0.0,"stem":0.03} | {"choice":"general","confidence":0.94,"probabilities":{"code":0.01,"general":0.96,"multilingual":0.0,"stem":0.03},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.94,"probabilities":{"code":0.01,"general":0.96,"multilingual":0.0,"stem":0.03},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":396,"output_tokens":47}} | 396 | 47 | 0.000017 | 636 | 2026-09-20T22:03:30.279873+00:00 | ||
1b3ad35aef82a96e53c01f59078ab235 | 188a530312cabcb9b2595938 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Write a closure notice for a Greggs on Sauchiehall Street, saying that this store has now closed, and directing patrons to the new one just across from Costa, saying \"It's just across the street from the Costa next to Henrik's (fictional department store from Doctor Who)\"","role":"user"}]... | {"conversation":[{"content":"Write a closure notice for a Greggs on Sauchiehall Street, saying that this store has now closed, and directing patrons to the new one just across from Costa, saying \"It's just across the street from the Costa next to Henrik's (fictional department store from Doctor Who)\"","role":"user"}]... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 195 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 321 | 676 | {} | jev-1.13.0 | choice | general | 1 | {"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0} | {"choice":"general","confidence":1.0,"probabilities":{"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":1.0,"probabilities":{"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":441,"output_tokens":47}} | 441 | 47 | 0.000019 | 775 | 2026-09-20T22:03:30.538231+00:00 | ||
496ac481301a67d414e4a0f174b6a6b3 | 5603326a0e2456ee61b3a42a | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Imagine you are bash shell and I am a user. Generate your responses as if you're running my queries as bash commands.","role":"user"}]} | {"conversation":[{"content":"Imagine you are bash shell and I am a user. Generate your responses as if you're running my queries as bash commands.","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | bash | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 196 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 164 | 519 | {} | jev-1.13.0 | choice | code | 0.91 | {"code":0.93,"general":0.06,"multilingual":0.0,"stem":0.01} | {"choice":"code","confidence":0.91,"probabilities":{"code":0.93,"general":0.06,"multilingual":0.0,"stem":0.01},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":0.91,"probabilities":{"code":0.93,"general":0.06,"multilingual":0.0,"stem":0.01},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":407,"output_tokens":47}} | 407 | 47 | 0.000017 | 651 | 2026-09-20T22:03:30.537651+00:00 | ||
cd8c1db54532ca38072b87aeb707f594 | f09b00dd27b9e663315d14e0 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Donne moi une liste de métiers dans le relationnel et développement personnel","role":"user"}]} | {"conversation":[{"content":"Donne moi une liste de métiers dans le relationnel et développement personnel","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | multilingual | null | {"domain":{"label":"multilingual","score":null,"source":"source_metadata"}} | source_metadata | french | multilingual | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 197 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 124 | 479 | {} | jev-1.13.0 | choice | general | 0.93 | {"code":0.0,"general":0.95,"multilingual":0.05,"stem":0.0} | {"choice":"general","confidence":0.93,"probabilities":{"code":0.0,"general":0.95,"multilingual":0.05,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.93,"probabilities":{"code":0.0,"general":0.95,"multilingual":0.05,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":397,"output_tokens":47}} | 397 | 47 | 0.000017 | 657 | 2026-09-20T22:03:30.658580+00:00 | ||
eb5f78b09d5a128cbe83e12b0ab60328 | cecae0fdda8741a74a442d4b | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"call chat GTP api but content length is more then 6000","role":"user"},{"content":"When making a request to the ChatGTP API and the content length exceeds 6000, you may encounter an error as the API might have a limit on the maximum allowed content length. To handle this, you can split your... | {"conversation":[{"content":"call chat GTP api but content length is more then 6000","role":"user"},{"content":"When making a request to the ChatGTP API and the content length exceeds 6000, you may encounter an error as the API might have a limit on the maximum allowed content length. To handle this, you can split your... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | python | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 198 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 5,838 | 6,193 | {} | jev-1.13.0 | choice | code | 1 | {"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0} | {"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":1811,"output_tokens":47}} | 1,811 | 47 | 0.000076 | 701 | 2026-09-20T22:03:30.826180+00:00 | ||
68caea2194cf2f65d19773fa2afa0e8e | deac6bb4326f281df6960264 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Why does 5G mmWave require more cells to achieve a better signal?\n\n\nLower frequencies are more easily blocked.\n\n\nLower bandwidth requires consistent coverage.\n\n\nHigher frequencies have a shorter range.\n\n\nHigher bandwidth requires more transmitters.\n\n\nI don't know this yet.","... | {"conversation":[{"content":"Why does 5G mmWave require more cells to achieve a better signal?\n\n\nLower frequencies are more easily blocked.\n\n\nLower bandwidth requires consistent coverage.\n\n\nHigher frequencies have a shorter range.\n\n\nHigher bandwidth requires more transmitters.\n\n\nI don't know this yet.","... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | stem | null | {"domain":{"label":"stem","score":null,"source":"source_metadata"}} | source_metadata | english | stem | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 199 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 5,328 | 5,683 | {} | jev-1.13.0 | choice | stem | 1 | {"code":0.0,"general":0.0,"multilingual":0.0,"stem":1.0} | {"choice":"stem","confidence":1.0,"probabilities":{"code":0.0,"general":0.0,"multilingual":0.0,"stem":1.0},"type":"choice"} | {"answers":{"domain":{"choice":"stem","confidence":1.0,"probabilities":{"code":0.0,"general":0.0,"multilingual":0.0,"stem":1.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":1492,"output_tokens":47}} | 1,492 | 47 | 0.000063 | 616 | 2026-09-20T22:03:30.861514+00:00 | ||
f6b8efd424eddc27493b12cf194d7592 | a4ef3384512c4856a745b54d | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"4.Explian the various Financial Statements.Which are the parts of the Annual Report .How can notes to the accounts help in better understanding of financial statements?in 380 words","role":"user"},{"content":"**Financial Statements** are formal records of a business's financial activities. ... | {"conversation":[{"content":"4.Explian the various Financial Statements.Which are the parts of the Annual Report .How can notes to the accounts help in better understanding of financial statements?in 380 words","role":"user"},{"content":"**Financial Statements** are formal records of a business's financial activities. ... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 200 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 3,191 | 3,546 | {} | jev-1.13.0 | choice | general | 0.73 | {"code":0.0,"general":0.8,"multilingual":0.0,"stem":0.2} | {"choice":"general","confidence":0.73,"probabilities":{"code":0.0,"general":0.8,"multilingual":0.0,"stem":0.2},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.73,"probabilities":{"code":0.0,"general":0.8,"multilingual":0.0,"stem":0.2},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":1058,"output_tokens":47}} | 1,058 | 47 | 0.000044 | 701 | 2026-09-20T22:03:31.061866+00:00 | ||
e3e3751d9d2469d225f426d55647d9aa | 95d90649410b4ba6f2c7039f | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"I want you to act as a Blazor server app developer. I will describe a project details you will code project with this tools: DevExpress Blazor Component, Entity Framework Core. Do not write explanations. My first request is “Implementation of inventory management page in petrochemical compa... | {"conversation":[{"content":"I want you to act as a Blazor server app developer. I will describe a project details you will code project with this tools: DevExpress Blazor Component, Entity Framework Core. Do not write explanations. My first request is “Implementation of inventory management page in petrochemical compa... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | c# | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 201 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 432 | 787 | {} | jev-1.13.0 | choice | code | 1 | {"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0} | {"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":457,"output_tokens":47}} | 457 | 47 | 0.000019 | 707 | 2026-09-20T22:03:31.192244+00:00 | ||
c5cd5b9869258112617e8501fef0a630 | 736edf585099a071aa27ffe0 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Can you create a mind map UML representation of the ideas in the following conversation? As if somebody is taking notes during the meeting as these people are talking.\n\nA: I want to create a piece of art that speaks to how we are so addicted to our phones.\nB: Yeah for sure, I have some g... | {"conversation":[{"content":"Can you create a mind map UML representation of the ideas in the following conversation? As if somebody is taking notes during the meeting as these people are talking.\n\nA: I want to create a piece of art that speaks to how we are so addicted to our phones.\nB: Yeah for sure, I have some g... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | c | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 202 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 7,701 | 8,056 | {} | jev-1.13.0 | choice | general | 0.87 | {"code":0.03,"general":0.9,"multilingual":0.0,"stem":0.07} | {"choice":"general","confidence":0.87,"probabilities":{"code":0.03,"general":0.9,"multilingual":0.0,"stem":0.07},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.87,"probabilities":{"code":0.03,"general":0.9,"multilingual":0.0,"stem":0.07},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":1867,"output_tokens":47}} | 1,867 | 47 | 0.000078 | 636 | 2026-09-20T22:03:31.238109+00:00 | ||
d1bfd3c49b05d4086d7bd605062bd532 | 802a7d2855c3a15b0246c28c | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"An interval is represented as a pair of numbers. We will only consider intervals of the form [begin, end) where the interval is inclusive of the left point and exclusive of the right. Write a python class to represent these intervals and write a python function that checks if these interval... | {"conversation":[{"content":"An interval is represented as a pair of numbers. We will only consider intervals of the form [begin, end) where the interval is inclusive of the left point and exclusive of the right. Write a python class to represent these intervals and write a python function that checks if these interval... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | python | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 203 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 388 | 743 | {} | jev-1.13.0 | choice | code | 1 | {"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0} | {"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":449,"output_tokens":47}} | 449 | 47 | 0.000019 | 659 | 2026-09-20T22:03:31.375028+00:00 | ||
10580970a712d71773b083dd1aa079bf | 646c332fbae5edf2c0eb045c | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"i want to visualize network ping fluctuations in a gauge. given an HTML canvas with width 100px and height 20px, write in javascript to draw onto this canvas: at regular intervals, draw a vertical stripe of black line (width 1px) along the x axis, with the left being 0 ping, and then the ri... | {"conversation":[{"content":"i want to visualize network ping fluctuations in a gauge. given an HTML canvas with width 100px and height 20px, write in javascript to draw onto this canvas: at regular intervals, draw a vertical stripe of black line (width 1px) along the x axis, with the left being 0 ping, and then the ri... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | javascript_html_css | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 204 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 534 | 889 | {} | jev-1.13.0 | choice | code | 1 | {"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0} | {"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":497,"output_tokens":47}} | 497 | 47 | 0.000021 | 745 | 2026-09-20T22:03:31.583015+00:00 | ||
6533426f8da8d15cc5d1c1e2dbcfc3b8 | a81b21a4c80ed63673b5362b | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"what is the best cast for a live action movie about ninjago ?","role":"user"},{"content":"Casting a live-action movie can be subjective and depends on many factors, including the director's vision, the actors' availability, and their fit for the characters. That being said, here is a list o... | {"conversation":[{"content":"what is the best cast for a live action movie about ninjago ?","role":"user"},{"content":"Casting a live-action movie can be subjective and depends on many factors, including the director's vision, the actors' availability, and their fit for the characters. That being said, here is a list o... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 205 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 7,224 | 7,579 | {} | jev-1.13.0 | choice | general | 1 | {"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0} | {"choice":"general","confidence":1.0,"probabilities":{"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":1.0,"probabilities":{"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":1954,"output_tokens":47}} | 1,954 | 47 | 0.000082 | 678 | 2026-09-20T22:03:31.643949+00:00 | ||
5c56f8d62970736ef80f180f9c1c63aa | ba8f7d739940f507cbb04b0a | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Could you tell me something about the garden of Taj Mahal in India in academic language, about its features, content, background and decoration","role":"user"},{"content":"The Taj Mahal, a UNESCO World Heritage Site located in Agra, India, is renowned for its architectural splendor and the ... | {"conversation":[{"content":"Could you tell me something about the garden of Taj Mahal in India in academic language, about its features, content, background and decoration","role":"user"},{"content":"The Taj Mahal, a UNESCO World Heritage Site located in Agra, India, is renowned for its architectural splendor and the ... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 206 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 6,608 | 6,963 | {} | jev-1.13.0 | choice | general | 1 | {"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0} | {"choice":"general","confidence":1.0,"probabilities":{"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":1.0,"probabilities":{"code":0.0,"general":1.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":1790,"output_tokens":47}} | 1,790 | 47 | 0.000075 | 628 | 2026-09-20T22:03:31.713871+00:00 | ||
3f2bf647a38c059f6bbbbf1716427b05 | 5bc3cbb22979bdd4f69c03e1 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"explain structured, semi structured and unstructured data with examples and code in python","role":"user"},{"content":"Structured, semi-structured, and unstructured data are three types of data formats that are commonly used in data management and analysis. Each type has its own characteris... | {"conversation":[{"content":"explain structured, semi structured and unstructured data with examples and code in python","role":"user"},{"content":"Structured, semi-structured, and unstructured data are three types of data formats that are commonly used in data management and analysis. Each type has its own characteris... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | python | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 208 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 3,648 | 4,003 | {} | jev-1.13.0 | choice | code | 0.92 | {"code":0.94,"general":0.0,"multilingual":0.0,"stem":0.06} | {"choice":"code","confidence":0.92,"probabilities":{"code":0.94,"general":0.0,"multilingual":0.0,"stem":0.06},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":0.92,"probabilities":{"code":0.94,"general":0.0,"multilingual":0.0,"stem":0.06},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":1315,"output_tokens":47}} | 1,315 | 47 | 0.000055 | 653 | 2026-09-20T22:03:31.855445+00:00 | ||
c4afebe7eb7040e2476318559de9656c | 97f652d2450c044887b80ac3 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"今から、顧客の心に響く言葉を投げることができるプロ編集者として振る舞ってください。「街の飛ばし屋からプロの飛ばし屋へ！ ゴルフ（ドラコン）プロテスト(23-0228)」に付いて販売戦略を立てます。サービス説明をしますので、以下の内容を理解してください。「◆セールスポイント◆すべてオンラインで完結するゴルフ（ドラコン）のプロテストの受講者を募集します。オンラインで完結するため、全国どこにいても受験可能です。今までもプロテスト募集の開催は行なっていましたが、私たちは弱みとしては「ターゲットに対する告知力」が圧倒的に弱く、潜在的なターゲットの獲得漏れが生じていると考えています。◆タ... | {"conversation":[{"content":"今から、顧客の心に響く言葉を投げることができるプロ編集者として振る舞ってください。「街の飛ばし屋からプロの飛ばし屋へ！ ゴルフ（ドラコン）プロテスト(23-0228)」に付いて販売戦略を立てます。サービス説明をしますので、以下の内容を理解してください。「◆セールスポイント◆すべてオンラインで完結するゴルフ（ドラコン）のプロテストの受講者を募集します。オンラインで完結するため、全国どこにいても受験可能です。今までもプロテスト募集の開催は行なっていましたが、私たちは弱みとしては「ターゲットに対する告知力」が圧倒的に弱く、潜在的なターゲットの獲得漏れが生じていると考えています。◆タ... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | multilingual | null | {"domain":{"label":"multilingual","score":null,"source":"source_metadata"}} | source_metadata | japanese | multilingual | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 209 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 4,996 | 5,351 | {} | jev-1.13.0 | choice | general | 0.92 | {"code":0.0,"general":0.94,"multilingual":0.06,"stem":0.0} | {"choice":"general","confidence":0.92,"probabilities":{"code":0.0,"general":0.94,"multilingual":0.06,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.92,"probabilities":{"code":0.0,"general":0.94,"multilingual":0.06,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":5066,"output_tokens":47}} | 5,066 | 47 | 0.000213 | 788 | 2026-09-20T22:03:32.106622+00:00 | ||
9bb81b895454ddd8514bf76b6dae4e6d | 706933a42299579ae4fbb597 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Hi, can you make a one programming task for me? \n\nI need a PHP custom function \"smart_sort_array\", which accepts arguments \"set\" and \"order\". The function needs to go through elements of the array \"set\". Where each element of the array \"set\" is also an associative sub-array with... | {"conversation":[{"content":"Hi, can you make a one programming task for me? \n\nI need a PHP custom function \"smart_sort_array\", which accepts arguments \"set\" and \"order\". The function needs to go through elements of the array \"set\". Where each element of the array \"set\" is also an associative sub-array with... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | php | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 210 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 6,101 | 6,456 | {} | jev-1.13.0 | choice | code | 1 | {"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0} | {"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":1998,"output_tokens":47}} | 1,998 | 47 | 0.000084 | 665 | 2026-09-20T22:03:32.107833+00:00 | ||
90851b6118611faa190332c14c168766 | 033436cb407486384a915442 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"How do I build a fuzzy search structure on a huge list of names using either Microsoft SQL Server or JS?","role":"user"}]} | {"conversation":[{"content":"How do I build a fuzzy search structure on a huge list of names using either Microsoft SQL Server or JS?","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | javascript_html_css | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 211 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 151 | 506 | {} | jev-1.13.0 | choice | code | 1 | {"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0} | {"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":1.0,"probabilities":{"code":1.0,"general":0.0,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":404,"output_tokens":47}} | 404 | 47 | 0.000017 | 649 | 2026-09-20T22:03:32.208734+00:00 | ||
bb4e1997066983be2016c03470dfcad3 | caf396dee4e49551fec1d16f | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"Mammalian blood contains the equivalent of 0.15 M NaCl. Seawater contains the equivalent of 0.45 M NaCl. What will happen if red blood cells are transferred to seawater?\n\na.\nThe blood cells will take up water, swell, and eventually burst.\n\nb.\nWater will leave the cells, causing them t... | {"conversation":[{"content":"Mammalian blood contains the equivalent of 0.15 M NaCl. Seawater contains the equivalent of 0.45 M NaCl. What will happen if red blood cells are transferred to seawater?\n\na.\nThe blood cells will take up water, swell, and eventually burst.\n\nb.\nWater will leave the cells, causing them t... | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | stem | null | {"domain":{"label":"stem","score":null,"source":"source_metadata"}} | source_metadata | english | stem | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 213 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 543 | 898 | {} | jev-1.13.0 | choice | stem | 1 | {"code":0.0,"general":0.0,"multilingual":0.0,"stem":1.0} | {"choice":"stem","confidence":1.0,"probabilities":{"code":0.0,"general":0.0,"multilingual":0.0,"stem":1.0},"type":"choice"} | {"answers":{"domain":{"choice":"stem","confidence":1.0,"probabilities":{"code":0.0,"general":0.0,"multilingual":0.0,"stem":1.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":504,"output_tokens":47}} | 504 | 47 | 0.000021 | 774 | 2026-09-20T22:03:32.452867+00:00 | ||
80bdc296c693baf51ff8f9cd2269b1ca | 7ec1ffc421756cb53155b807 | train | intent_domain_model_router | conversation_domain_routing | choice | domain | Which broad domain best describes this conversation? | {"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."} | {"conversation":[{"content":"( hope ypu doing well , do we have disbertuion winterzation kit on firiday)make it correct\\","role":"user"}]} | {"conversation":[{"content":"( hope ypu doing well , do we have disbertuion winterzation kit on firiday)make it correct\\","role":"user"}]} | {"model":"jev-1.13.0","questions":{"domain":{"criteria":{"code":"Programming or software task.","general":"General conversational request.","multilingual":"Non-English or translation-focused task.","stem":"Science, technology, engineering, or mathematics."},"instructions":"Which broad domain best describes this convers... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 214 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 139 | 494 | {} | jev-1.13.0 | choice | general | 0.93 | {"code":0.0,"general":0.95,"multilingual":0.01,"stem":0.04} | {"choice":"general","confidence":0.93,"probabilities":{"code":0.0,"general":0.95,"multilingual":0.01,"stem":0.04},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.93,"probabilities":{"code":0.0,"general":0.95,"multilingual":0.01,"stem":0.04},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":409,"output_tokens":47}} | 409 | 47 | 0.000017 | 655 | 2026-09-20T22:03:32.461223+00:00 |
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