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7168165c59b73ed597f918e8c95659a6 | 1a884238d6d08c8d70626cae | 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 chemical makes it possible for a photograph to be exposed to be open to white light","role":"user"}]} | {"conversation":[{"content":"which chemical makes it possible for a photograph to be exposed to be open to white light","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 | 1101 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 136 | 491 | {} | 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":399,"output_tokens":47}} | 399 | 47 | 0.000017 | 616 | 2026-09-20T22:05:09.381422+00:00 | ||
0b8ceb3c565ea136b4e17fce730eadeb | bfaf9b28451ff0be5edb0cdc | 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 image features a young woman with long, blonde hair wearing a black leather jacket. She is standing in front of a white wall and looking directly at the camera. Her facial expression is neutral, but her eyes are slightly narrowed as if she's concentrating on something. The light from... | {"conversation":[{"content":"\"This image features a young woman with long, blonde hair wearing a black leather jacket. She is standing in front of a white wall and looking directly at the camera. Her facial expression is neutral, but her eyes are slightly narrowed as if she's concentrating on something. The light from... | {"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 | 1103 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 5,299 | 5,654 | {} | 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":1598,"output_tokens":47}} | 1,598 | 47 | 0.000067 | 749 | 2026-09-20T22:05:09.626594+00:00 | ||
7a889493253188981f9bcd2c70ce8d0b | d07ea91b13a8284672e555ad | 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":"Demonstrate variance analysis with numerical example","role":"user"}]} | {"conversation":[{"content":"Demonstrate variance analysis with numerical example","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 | 1104 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 99 | 454 | {} | jev-1.13.0 | choice | stem | 0.95 | {"code":0.0,"general":0.04,"multilingual":0.0,"stem":0.96} | {"choice":"stem","confidence":0.95,"probabilities":{"code":0.0,"general":0.04,"multilingual":0.0,"stem":0.96},"type":"choice"} | {"answers":{"domain":{"choice":"stem","confidence":0.95,"probabilities":{"code":0.0,"general":0.04,"multilingual":0.0,"stem":0.96},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":391,"output_tokens":47}} | 391 | 47 | 0.000016 | 677 | 2026-09-20T22:05:09.676679+00:00 | ||
89a3fe53925f532a8de36b73f0e95d0d | 5954ec5b8ce247e388b5c36a | 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 X be a random variable that takes values from ° to 9 with equal \nprobability 1/10. Find the PMF of the random variable Y = 5 mod(X + 1). Please show answer and the explain.","role":"user"}]} | {"conversation":[{"content":"Let X be a random variable that takes values from ° to 9 with equal \nprobability 1/10. Find the PMF of the random variable Y = 5 mod(X + 1). Please show answer and the explain.","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 | 1105 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 224 | 579 | {} | 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":433,"output_tokens":47}} | 433 | 47 | 0.000018 | 671 | 2026-09-20T22:05:09.795691+00:00 | ||
7d5fea7df68586d7156a775dfb534924 | 3c765ae422dd1e380229ca2d | 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":"Cas 12\nOn considre une eau urbaine en mélange avec un rejet agroalimentaire à faible charge dont le débit varie 350 m3/j dont les teneurs en DCO, DBO5, MES, NO3- et NH4+ sont données dans le tableau 1\n1-Compléter le tableau 1\nParamétres \tConcentrations mg/l\t Charges polluantes Kg/j\nD... | {"conversation":[{"content":"Cas 12\nOn considre une eau urbaine en mélange avec un rejet agroalimentaire à faible charge dont le débit varie 350 m3/j dont les teneurs en DCO, DBO5, MES, NO3- et NH4+ sont données dans le tableau 1\n1-Compléter le tableau 1\nParamétres \tConcentrations mg/l\t Charges polluantes Kg/j\nD... | {"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 | 1106 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 2,794 | 3,149 | {} | 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":1456,"output_tokens":47}} | 1,456 | 47 | 0.000061 | 656 | 2026-09-20T22:05:09.898571+00:00 | ||
222b72e514621914e92c7e73a9c7a48b | 63b4dbee5dcf54ae190105ac | 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":">>> tpr\narray([[[ True, False],\n [ True, True],\n [False, False]],\n\n [[False, True],\n [False, False],\n [False, False]]])\n\n>>> sp\narray([[1, 0, 2],\n [0, 1, 2]])\n\nI have those 2 numpy arrays. I am trying to re-order tpr u... | {"conversation":[{"content":">>> tpr\narray([[[ True, False],\n [ True, True],\n [False, False]],\n\n [[False, True],\n [False, False],\n [False, False]]])\n\n>>> sp\narray([[1, 0, 2],\n [0, 1, 2]])\n\nI have those 2 numpy arrays. I am trying to re-order tpr u... | {"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 | 1107 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 2,355 | 2,710 | {} | 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":1063,"output_tokens":47}} | 1,063 | 47 | 0.000045 | 785 | 2026-09-20T22:05:10.150521+00:00 | ||
b53924811c2ed71769cb0125442c9d6a | 18f7b59698e162c8d2d59eb3 | 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 Scopes in JavaScript? What are different types of Scopes?","role":"user"},{"content":"In JavaScript, scope refers to the visibility or accessibility of variables, functions, and objects. Scopes determine the accessibility of variables and functions: where and how they can be referen... | {"conversation":[{"content":"What is Scopes in JavaScript? What are different types of Scopes?","role":"user"},{"content":"In JavaScript, scope refers to the visibility or accessibility of variables, functions, and objects. Scopes determine the accessibility of variables and functions: where and how they can be referen... | {"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 | 1108 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 11,112 | 11,467 | {} | 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":3125,"output_tokens":47}} | 3,125 | 47 | 0.000131 | 666 | 2026-09-20T22:05:10.150198+00:00 | ||
9850debe949f96c1f823187c01087cc7 | 2604b580e63eb8b6a14989c1 | 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":"Find me a bug in this code:\n\n\nconst http = require('http');\n\nconst port = 3000;\n\nconst server = http.createServer((req, res) => {\n if (req.url === '/ping') {\n res.statusCode = 200;\n res.setHeader('Content-Type', 'text/plain');\n res.end('PONG');\n } else {\n res.stat... | {"conversation":[{"content":"Find me a bug in this code:\n\n\nconst http = require('http');\n\nconst port = 3000;\n\nconst server = http.createServer((req, res) => {\n if (req.url === '/ping') {\n res.statusCode = 200;\n res.setHeader('Content-Type', 'text/plain');\n res.end('PONG');\n } else {\n res.stat... | {"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 | 1110 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 488 | 843 | {} | 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":513,"output_tokens":47}} | 513 | 47 | 0.000022 | 587 | 2026-09-20T22:05:10.193172+00:00 | ||
aa3fcbe47477b04367d23e0128f11bb2 | 527098da8e7d5f6548989cf2 | 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 my theory assignment according the infformation of 2023","role":"user"}]} | {"conversation":[{"content":"can you write my theory assignment according the infformation of 2023","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 | 1111 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 116 | 471 | {} | jev-1.13.0 | choice | general | 0.92 | {"code":0.0,"general":0.94,"multilingual":0.0,"stem":0.06} | {"choice":"general","confidence":0.92,"probabilities":{"code":0.0,"general":0.94,"multilingual":0.0,"stem":0.06},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.92,"probabilities":{"code":0.0,"general":0.94,"multilingual":0.0,"stem":0.06},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":400,"output_tokens":47}} | 400 | 47 | 0.000017 | 731 | 2026-09-20T22:05:10.457133+00:00 | ||
1ca0dd2580e13e164ead5d8a76e8fcf3 | 6953d56da93139f915947895 | 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":"아래와 같이 웹페이지 상에 글자가 보이도록 하기 위한 HTML 코드 코딩 요청","role":"user"},{"content":"```html\n<!DOCTYPE html>\n<html>\n<head>\n <title>웹페이지 제목</title>\n</head>\n<body>\n\n <h1>이것은 제목입니다.</h1>\n <p>이것은 단락입니다.</p>\n\n</body>\n</html>\n```\n\n**설명:**\n\n* `<!DOCTYPE html>`: HTML 문서임을 선언합니다.\n* `<html>`:... | {"conversation":[{"content":"아래와 같이 웹페이지 상에 글자가 보이도록 하기 위한 HTML 코드 코딩 요청","role":"user"},{"content":"```html\n<!DOCTYPE html>\n<html>\n<head>\n <title>웹페이지 제목</title>\n</head>\n<body>\n\n <h1>이것은 제목입니다.</h1>\n <p>이것은 단락입니다.</p>\n\n</body>\n</html>\n```\n\n**설명:**\n\n* `<!DOCTYPE html>`: HTML 문서임을 선언합니다.\n* `<html>`:... | {"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 | 1112 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 3,794 | 4,149 | {} | 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":2336,"output_tokens":47}} | 2,336 | 47 | 0.000098 | 593 | 2026-09-20T22:05:10.438468+00:00 | ||
6a89b887e885365dc57587915d897325 | 7cdd5102b130c58beee584a6 | 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 DE (sin x)uxx + tan(x + y)uyyy = e\nx+y\nis\n\n(a) Ordinary DE and Linear (b) Partial DE and Linear.\n(c) Ordinary DE and nonlinear (d) Partial DE and nonlinear.","role":"user"},{"content":"The given equation is a partial differential equation (PDE) because it involves partial derivativ... | {"conversation":[{"content":"The DE (sin x)uxx + tan(x + y)uyyy = e\nx+y\nis\n\n(a) Ordinary DE and Linear (b) Partial DE and Linear.\n(c) Ordinary DE and nonlinear (d) Partial DE and nonlinear.","role":"user"},{"content":"The given equation is a partial differential equation (PDE) because it involves partial derivativ... | {"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 | 1113 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 4,742 | 5,097 | {} | 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":1955,"output_tokens":47}} | 1,955 | 47 | 0.000082 | 710 | 2026-09-20T22:05:10.674152+00:00 | ||
7c475ee230cba24e6f1d42f33bfa8c7c | 8f8afee26893172f859f01ed | 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 if you combine SpongeBob SquarePants (TV Series), Baldi’s Basics, Tom and Jerry (TV Series), Streets Of Rage, Looney Tunes, Mighty Morphin Power Rangers, Half-Life, GoAnimate, Left 4 Dead 1 and 2, Ed Edd n Eddy (TV Series), TMNT, Monster Madness: Battle for Suburbia, Ned’s Declassified... | {"conversation":[{"content":"What if you combine SpongeBob SquarePants (TV Series), Baldi’s Basics, Tom and Jerry (TV Series), Streets Of Rage, Looney Tunes, Mighty Morphin Power Rangers, Half-Life, GoAnimate, Left 4 Dead 1 and 2, Ed Edd n Eddy (TV Series), TMNT, Monster Madness: Battle for Suburbia, Ned’s Declassified... | {"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 | 1114 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 7,846 | 8,201 | {} | 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":2091,"output_tokens":47}} | 2,091 | 47 | 0.000088 | 697 | 2026-09-20T22:05:10.778961+00:00 | ||
b2ceb7de1d1ca661d2fd403a14eab139 | f82a4440dbf122eed62bf095 | 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":"長寬比 1.51:1 的圖片，若是 寬為 200 長是多少?","role":"user"}]} | {"conversation":[{"content":"長寬比 1.51:1 的圖片，若是 寬為 200 長是多少?","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 | 1115 | 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 | 0.91 | {"code":0.0,"general":0.05,"multilingual":0.01,"stem":0.93} | {"choice":"stem","confidence":0.91,"probabilities":{"code":0.0,"general":0.05,"multilingual":0.01,"stem":0.93},"type":"choice"} | {"answers":{"domain":{"choice":"stem","confidence":0.91,"probabilities":{"code":0.0,"general":0.05,"multilingual":0.01,"stem":0.93},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":415,"output_tokens":47}} | 415 | 47 | 0.000017 | 683 | 2026-09-20T22:05:10.883388+00:00 | ||
f520bf0cde078b75140004422d0e9e43 | a84983ee35fc8a92ca67a92d | 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":"Molecularly what is diff between light and heavy crude","role":"user"},{"content":"Crude oil is a mixture of various hydrocarbons, and it can be classified as light, medium, or heavy based on its density or gravity, which is measured in degrees API (American Petroleum Institute). The molecu... | {"conversation":[{"content":"Molecularly what is diff between light and heavy crude","role":"user"},{"content":"Crude oil is a mixture of various hydrocarbons, and it can be classified as light, medium, or heavy based on its density or gravity, which is measured in degrees API (American Petroleum Institute). The molecu... | {"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 | 1118 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 5,975 | 6,330 | {} | 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":1696,"output_tokens":47}} | 1,696 | 47 | 0.000071 | 589 | 2026-09-20T22:05:10.914272+00:00 | ||
67987dc5e50caa7506a174386269501d | ad683adc3681882264b5c329 | 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 would the female equivalent of the greyhound name \"Slippery Douglas\" be? The \"Slippery\" part of the name must stay. ","role":"user"}]} | {"conversation":[{"content":"What would the female equivalent of the greyhound name \"Slippery Douglas\" be? The \"Slippery\" part of the name must stay. ","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 | 1119 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 172 | 527 | {} | 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":415,"output_tokens":47}} | 415 | 47 | 0.000017 | 756 | 2026-09-20T22:05:11.199771+00:00 | ||
545057c1c1d110707a3131f136db1565 | 2b110b71c1ecefc4483221f0 | 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":"A reboot happens when a here answer fault occurs.","role":"user"},{"content":"I'm here to help and provide accurate information. It seems there might be a misunderstanding in your statement. A reboot typically occurs when a system encounters a critical error, not specifically a \"here answe... | {"conversation":[{"content":"A reboot happens when a here answer fault occurs.","role":"user"},{"content":"I'm here to help and provide accurate information. It seems there might be a misunderstanding in your statement. A reboot typically occurs when a system encounters a critical error, not specifically a \"here answe... | {"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 | 1120 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 7,119 | 7,474 | {} | jev-1.13.0 | choice | stem | 0.99 | {"code":0.0,"general":0.01,"multilingual":0.0,"stem":0.99} | {"choice":"stem","confidence":0.99,"probabilities":{"code":0.0,"general":0.01,"multilingual":0.0,"stem":0.99},"type":"choice"} | {"answers":{"domain":{"choice":"stem","confidence":0.99,"probabilities":{"code":0.0,"general":0.01,"multilingual":0.0,"stem":0.99},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":2497,"output_tokens":47}} | 2,497 | 47 | 0.000105 | 659 | 2026-09-20T22:05:11.225239+00:00 | ||
90cd258e7d689ceda1d643499873bef9 | b3ba4682f08a6fd995465bdd | 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":"aranea highwind tells the story of her and prompto on the mountain","role":"user"}]} | {"conversation":[{"content":"aranea highwind tells the story of her and prompto on the mountain","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 | 1121 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 113 | 468 | {} | 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":398,"output_tokens":47}} | 398 | 47 | 0.000017 | 743 | 2026-09-20T22:05:11.423531+00:00 | ||
122396784365157c940aef087ae7cf11 | 8afaa53e35ba7b6443dedbf7 | 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":"專題的題目：基於手勢辨識的環保遊戲設計與實現．\n專題的想法概念如下：環保意識抬頭，藉由人工智慧與影像識別技術的帶動下，我們希望以MediaPipe架構為基礎，進行手勢辨識追踪，估算手部關鍵點之位置、連接與角度變化，打造具備寓教於樂的環保遊戲，透過手勢自動識別，控制垃圾資源分類的選擇，完成互動式的環保遊戲設計與實現。\n請給我專題報告的目錄大網","role":"user"}]} | {"conversation":[{"content":"專題的題目：基於手勢辨識的環保遊戲設計與實現．\n專題的想法概念如下：環保意識抬頭，藉由人工智慧與影像識別技術的帶動下，我們希望以MediaPipe架構為基礎，進行手勢辨識追踪，估算手部關鍵點之位置、連接與角度變化，打造具備寓教於樂的環保遊戲，透過手勢自動識別，控制垃圾資源分類的選擇，完成互動式的環保遊戲設計與實現。\n請給我專題報告的目錄大網","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 | 1122 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 220 | 575 | {} | jev-1.13.0 | choice | stem | 0.7 | {"code":0.21,"general":0.01,"multilingual":0.0,"stem":0.78} | {"choice":"stem","confidence":0.7,"probabilities":{"code":0.21,"general":0.01,"multilingual":0.0,"stem":0.78},"type":"choice"} | {"answers":{"domain":{"choice":"stem","confidence":0.7,"probabilities":{"code":0.21,"general":0.01,"multilingual":0.0,"stem":0.78},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":552,"output_tokens":47}} | 552 | 47 | 0.000023 | 727 | 2026-09-20T22:05:11.525857+00:00 | ||
03fade4b7f07d489ed352e557a68ecf0 | 75f760126c4410ad9942a0f4 | 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":"Seek information about Ben Emmerson and his relationship with the UN working group on arbitrary detentions","role":"user"},{"content":"Ben Emmerson QC is a British barrister and human rights lawyer who has worked extensively in the field of international law. He served as the United Nations... | {"conversation":[{"content":"Seek information about Ben Emmerson and his relationship with the UN working group on arbitrary detentions","role":"user"},{"content":"Ben Emmerson QC is a British barrister and human rights lawyer who has worked extensively in the field of international law. He served as the United Nations... | {"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 | 1123 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 2,362 | 2,717 | {} | 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":902,"output_tokens":47}} | 902 | 47 | 0.000038 | 814 | 2026-09-20T22:05:11.737223+00:00 | ||
c4ad09a4286cf4f37a9d2a97a3dc145e | b74bb231a34bf3cdbcff1da1 | 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":"Gross enrollment ratio of Maharashtra In 2011","role":"user"},{"content":"The gross enrollment ratio (GER) of Maharashtra in 2011 was 98.6%. This figure represents the total enrollment in primary education, regardless of age, expressed as a percentage of the official primary school-age popu... | {"conversation":[{"content":"Gross enrollment ratio of Maharashtra In 2011","role":"user"},{"content":"The gross enrollment ratio (GER) of Maharashtra in 2011 was 98.6%. This figure represents the total enrollment in primary education, regardless of age, expressed as a percentage of the official primary school-age popu... | {"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 | 1124 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 1,747 | 2,102 | {} | jev-1.13.0 | choice | general | 0.84 | {"code":0.0,"general":0.88,"multilingual":0.0,"stem":0.12} | {"choice":"general","confidence":0.84,"probabilities":{"code":0.0,"general":0.88,"multilingual":0.0,"stem":0.12},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.84,"probabilities":{"code":0.0,"general":0.88,"multilingual":0.0,"stem":0.12},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":837,"output_tokens":47}} | 837 | 47 | 0.000035 | 698 | 2026-09-20T22:05:11.736515+00:00 | ||
98afe1158fb63ec27a652e937b39b7e9 | 61f5ca0737aba1670dfa90a4 | 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 machine learning model in python to perform predictive maintenance of telecommunication hardware by scjeduling proctive maintenance to avoid costly downtime","role":"user"}]} | {"conversation":[{"content":"write a machine learning model in python to perform predictive maintenance of telecommunication hardware by scjeduling proctive maintenance to avoid costly downtime","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 | 1125 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 211 | 566 | {} | 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":411,"output_tokens":47}} | 411 | 47 | 0.000017 | 714 | 2026-09-20T22:05:11.879491+00:00 | ||
2d74ad84a0f47ee9fb249084054111e0 | 9d8418c7403481010d7882ed | 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":"[INSTRUCCIONES] Entregaré un {texto} al que hacer cambios. \n\nNo hagas nada aún. \n\nEspera a mi siguiente instrucción que traerá el {texto} que analizarás y con el cuál generarás una tabla Markdown de 10 sugerencias diferentes de:\n\nMejoras que podrían estar relacionadas con ese {texto}.... | {"conversation":[{"content":"[INSTRUCCIONES] Entregaré un {texto} al que hacer cambios. \n\nNo hagas nada aún. \n\nEspera a mi siguiente instrucción que traerá el {texto} que analizarás y con el cuál generarás una tabla Markdown de 10 sugerencias diferentes de:\n\nMejoras que podrían estar relacionadas con ese {texto}.... | {"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 | 1126 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 1,194 | 1,549 | {} | jev-1.13.0 | choice | general | 0.8 | {"code":0.06,"general":0.85,"multilingual":0.09,"stem":0.0} | {"choice":"general","confidence":0.8,"probabilities":{"code":0.06,"general":0.85,"multilingual":0.09,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.8,"probabilities":{"code":0.06,"general":0.85,"multilingual":0.09,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":675,"output_tokens":47}} | 675 | 47 | 0.000028 | 727 | 2026-09-20T22:05:12.010263+00:00 | ||
6ca91b51bfb2a27c009f46b3765cfe0d | 9cab3779b6cc3c097eb2d693 | 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 4 days I will eat.","role":"user"}]} | {"conversation":[{"content":"In 4 days I will eat.","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 | 1127 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 68 | 423 | {} | 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":390,"output_tokens":47}} | 390 | 47 | 0.000016 | 617 | 2026-09-20T22:05:12.023104+00:00 | ||
ad89a3bbbcae743b020850af32c90206 | a400a360c95b3640f1969aad | 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 will give you two statements and I want you to tell me which one is more truthful and accurate.\n\nThis is the first statement:\n\"A twisted pair cable consists of two insulated copper wires twisted around each other to reduce electromagnetic interference. Typically, there are four pairs ... | {"conversation":[{"content":"I will give you two statements and I want you to tell me which one is more truthful and accurate.\n\nThis is the first statement:\n\"A twisted pair cable consists of two insulated copper wires twisted around each other to reduce electromagnetic interference. Typically, there are four pairs ... | {"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 | 1128 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 1,146 | 1,501 | {} | 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":608,"output_tokens":47}} | 608 | 47 | 0.000026 | 749 | 2026-09-20T22:05:12.273830+00:00 | ||
f35bd49cddcfb35b3a0cd2011c5b4847 | 58f83106654a01f113f14b56 | 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":"If I give you a C program could you explain to me what it does?","role":"user"},{"content":"Of course, I'd be happy to help you understand what a C program does. Please provide the C program code, and I'll do my best to explain its functionality, structure, and purpose in a clear and concis... | {"conversation":[{"content":"If I give you a C program could you explain to me what it does?","role":"user"},{"content":"Of course, I'd be happy to help you understand what a C program does. Please provide the C program code, and I'll do my best to explain its functionality, structure, and purpose in a clear and concis... | {"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 | 1129 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 5,864 | 6,219 | {} | 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":1886,"output_tokens":47}} | 1,886 | 47 | 0.000079 | 704 | 2026-09-20T22:05:12.349584+00:00 | ||
06038fbca3e316b59f01f7f2b67e02b6 | 7f7454d486b13eaa5b6f7974 | 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":"As the lead on the Property Management System (PMS) project, I played a key role in the development and implementation of the system. I worked closely with my colleagues to successfully develop the system and played various roles such as leading the development team and managing project tim... | {"conversation":[{"content":"As the lead on the Property Management System (PMS) project, I played a key role in the development and implementation of the system. I worked closely with my colleagues to successfully develop the system and played various roles such as leading the development team and managing project tim... | {"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 | 1131 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 11,412 | 11,767 | {} | jev-1.13.0 | choice | code | 0.95 | {"code":0.96,"general":0.02,"multilingual":0.0,"stem":0.02} | {"choice":"code","confidence":0.95,"probabilities":{"code":0.96,"general":0.02,"multilingual":0.0,"stem":0.02},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":0.95,"probabilities":{"code":0.96,"general":0.02,"multilingual":0.0,"stem":0.02},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":2783,"output_tokens":47}} | 2,783 | 47 | 0.000117 | 589 | 2026-09-20T22:05:12.354208+00:00 | ||
b055e6d8a47be786567fcffde699ea81 | 402bc11ead8e4f62827aefe2 | 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":"나 지금 팀이 다섯명인데, 우리 조직 짜는것좀 도와줘. 번역결과I have a team of 5 now, help me organize our organization.","role":"user"}]} | {"conversation":[{"content":"나 지금 팀이 다섯명인데, 우리 조직 짜는것좀 도와줘. 번역결과I have a team of 5 now, help me organize our organization.","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 | korean | multilingual | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 1132 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 140 | 495 | {} | jev-1.13.0 | choice | general | 0.74 | {"code":0.0,"general":0.81,"multilingual":0.19,"stem":0.0} | {"choice":"general","confidence":0.74,"probabilities":{"code":0.0,"general":0.81,"multilingual":0.19,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.74,"probabilities":{"code":0.0,"general":0.81,"multilingual":0.19,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":423,"output_tokens":47}} | 423 | 47 | 0.000018 | 75,579 | 2026-09-20T22:06:27.482480+00:00 | ||
7ff16943a10a825ee97bb562ca11ae99 | 2c00b08ce550a648518376f4 | 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 google appscript that will remove all text within bracket like this \"[Example]\" from a google docs document.","role":"user"}]} | {"conversation":[{"content":"Write a google appscript that will remove all text within bracket like this \"[Example]\" from a google docs document.","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 | 1133 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 165 | 520 | {} | 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":406,"output_tokens":47}} | 406 | 47 | 0.000017 | 776 | 2026-09-20T22:05:12.772617+00:00 | ||
3542b7af91505579c0faae8819b69eb2 | 170d7034720ed3b75cd6c750 | 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":"OpenAPI custom validations in Java Spring ","role":"user"},{"content":"To implement custom validations in a Java Spring application using OpenAPI, you can follow these steps:\n\n\n1. Define your custom validation logic in a separate class.\n\n2. Use the `@Validated` annotation on your contr... | {"conversation":[{"content":"OpenAPI custom validations in Java Spring ","role":"user"},{"content":"To implement custom validations in a Java Spring application using OpenAPI, you can follow these steps:\n\n\n1. Define your custom validation logic in a separate class.\n\n2. Use the `@Validated` annotation on your contr... | {"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 | 1134 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 2,578 | 2,933 | {} | 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":991,"output_tokens":47}} | 991 | 47 | 0.000042 | 646 | 2026-09-20T22:05:12.772212+00:00 | ||
be4914a12e0ab7c64cc3c54288832415 | 9de2a39b74208c31d9084838 | 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":"Design a data structure (using the C programming language) to represent an artificial neuron in an MLP.","role":"user"}]} | {"conversation":[{"content":"Design a data structure (using the C programming language) to represent an artificial neuron in an MLP.","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 | 1135 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 150 | 505 | {} | jev-1.13.0 | choice | code | 0.98 | {"code":0.98,"general":0.0,"multilingual":0.0,"stem":0.02} | {"choice":"code","confidence":0.98,"probabilities":{"code":0.98,"general":0.0,"multilingual":0.0,"stem":0.02},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":0.98,"probabilities":{"code":0.98,"general":0.0,"multilingual":0.0,"stem":0.02},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":403,"output_tokens":47}} | 403 | 47 | 0.000017 | 662 | 2026-09-20T22:05:12.904524+00:00 | ||
7cfe55eae0544590c43c94619d08b1b6 | d989f0eceb07475d17d4a42c | 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":"che tipo di armi si potrebbero usare in un videogioco di spionaggio nell'antica roma in cui sei l'agente segreto di giulio cesare?\n\n","role":"user"}]} | {"conversation":[{"content":"che tipo di armi si potrebbero usare in un videogioco di spionaggio nell'antica roma in cui sei l'agente segreto di giulio cesare?\n\n","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 | italian | multilingual | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 1136 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 181 | 536 | {} | jev-1.13.0 | choice | general | 0.77 | {"code":0.04,"general":0.83,"multilingual":0.13,"stem":0.0} | {"choice":"general","confidence":0.77,"probabilities":{"code":0.04,"general":0.83,"multilingual":0.13,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.77,"probabilities":{"code":0.04,"general":0.83,"multilingual":0.13,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":420,"output_tokens":47}} | 420 | 47 | 0.000018 | 683 | 2026-09-20T22:05:13.045209+00:00 | ||
446732ea013030d048fca6a4b70ef6d3 | 21228df40ce8824c015ed654 | 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":"Materialismo Filosófico de Gustavo Bueno","role":"user"},{"content":"Gustavo Bueno fue un filósofo español, conocido por su trabajo en la filosofía del materialismo dialéctico. Su materialismo filosófico se basa en la idea de que la realidad es fundamentalmente material y que los fenómenos ... | {"conversation":[{"content":"Materialismo Filosófico de Gustavo Bueno","role":"user"},{"content":"Gustavo Bueno fue un filósofo español, conocido por su trabajo en la filosofía del materialismo dialéctico. Su materialismo filosófico se basa en la idea de que la realidad es fundamentalmente material y que los fenómenos ... | {"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 | 1137 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 1,874 | 2,229 | {} | 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":810,"output_tokens":47}} | 810 | 47 | 0.000034 | 622 | 2026-09-20T22:05:13.108034+00:00 | ||
a2a93804dd61d75e54a68c45010ef023 | 63b3c0fe0c8855a96c92bb50 | 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 would you write this java code? public void fightMenu() {\n switch (Abilities.count) {\n case 1:\n System.out.println(String.format(\"[%s]\", Ability1));\n break;\n case 2:\n System.out.println(String.format(\"[%s... | {"conversation":[{"content":"How would you write this java code? public void fightMenu() {\n switch (Abilities.count) {\n case 1:\n System.out.println(String.format(\"[%s]\", Ability1));\n break;\n case 2:\n System.out.println(String.format(\"[%s... | {"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 | 1138 | 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 | 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":805,"output_tokens":47}} | 805 | 47 | 0.000034 | 689 | 2026-09-20T22:05:13.294852+00:00 | ||
4bf93b4dd07c9fd858f5223f07daa11e | f51ad2068b60103841042499 | 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":"Insufficient resources for educational institution in Bangladesh.The solution to this problem is delivering lectures online find articles to back this up.\n","role":"user"},{"content":"There are several articles and studies that support the use of online lectures as a solution to the proble... | {"conversation":[{"content":"Insufficient resources for educational institution in Bangladesh.The solution to this problem is delivering lectures online find articles to back this up.\n","role":"user"},{"content":"There are several articles and studies that support the use of online lectures as a solution to the proble... | {"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 | 1140 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 17,371 | 17,726 | {} | 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":3982,"output_tokens":47}} | 3,982 | 47 | 0.000167 | 811 | 2026-09-20T22:05:13.589323+00:00 | ||
c03a4e07ddfc4feb07b067d5388875ea | edeb8c3d7a480522538fe675 | 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":"Quels sont les plus grands défis dans les interfaces cerveau-ordinateur ?","role":"user"}]} | {"conversation":[{"content":"Quels sont les plus grands défis dans les interfaces cerveau-ordinateur ?","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 | 1142 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 120 | 475 | {} | 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":398,"output_tokens":47}} | 398 | 47 | 0.000017 | 794 | 2026-09-20T22:05:13.820149+00:00 | ||
4348f38814ee9303d7bae77c150aba2f | efd7a2566477dcba1abf1aaa | 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 language is beong spoken in Iran?","role":"user"}]} | {"conversation":[{"content":"What language is beong spoken in Iran?","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 | 1143 | 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 | 0.39 | {"code":0.0,"general":0.54,"multilingual":0.46,"stem":0.0} | {"choice":"general","confidence":0.39,"probabilities":{"code":0.0,"general":0.54,"multilingual":0.46,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.39,"probabilities":{"code":0.0,"general":0.54,"multilingual":0.46,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":391,"output_tokens":47}} | 391 | 47 | 0.000016 | 581 | 2026-09-20T22:05:13.716812+00:00 | ||
05e0b06bd9d311e12f45b9e06cfcdfc1 | ca561c103e94b9b1050043f4 | 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":"сделай интересную статью о человеке \"В 16 поступил к колледж, на сис админа, на 4 курсе админил и преподавал. \n\nВ универ поступил, и сразу пошел в сис админы, но пробыл там недолго.\n\nОколо полу года в Dataline дежурный инженер ЦОДа. \n\nПолтора года ЦУМ сис админ винды, отдел ремонта.\... | {"conversation":[{"content":"сделай интересную статью о человеке \"В 16 поступил к колледж, на сис админа, на 4 курсе админил и преподавал. \n\nВ универ поступил, и сразу пошел в сис админы, но пробыл там недолго.\n\nОколо полу года в Dataline дежурный инженер ЦОДа. \n\nПолтора года ЦУМ сис админ винды, отдел ремонта.\... | {"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 | 1144 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 5,889 | 6,244 | {} | jev-1.13.0 | choice | stem | 0.34 | {"code":0.07,"general":0.33,"multilingual":0.09,"stem":0.51} | {"choice":"stem","confidence":0.34,"probabilities":{"code":0.07,"general":0.33,"multilingual":0.09,"stem":0.51},"type":"choice"} | {"answers":{"domain":{"choice":"stem","confidence":0.34,"probabilities":{"code":0.07,"general":0.33,"multilingual":0.09,"stem":0.51},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":3804,"output_tokens":47}} | 3,804 | 47 | 0.00016 | 634 | 2026-09-20T22:05:13.892880+00:00 | ||
20e2366babae72796f0bf6525535dd50 | c6ec91c0de1e27e65e13512a | 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":"Je travaille pour un produit qui est un concurrent direct de Gong - l'outil de revenue intelligence . La stratégie du produit est de devenir une plateforme d'informations de vente axée sur les données en construisant un robot conversationnel qui pourrait exploiter les données de toutes les ... | {"conversation":[{"content":"Je travaille pour un produit qui est un concurrent direct de Gong - l'outil de revenue intelligence . La stratégie du produit est de devenir une plateforme d'informations de vente axée sur les données en construisant un robot conversationnel qui pourrait exploiter les données de toutes les ... | {"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 | 1145 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 744 | 1,099 | {} | jev-1.13.0 | choice | general | 0.46 | {"code":0.09,"general":0.59,"multilingual":0.04,"stem":0.28} | {"choice":"general","confidence":0.46,"probabilities":{"code":0.09,"general":0.59,"multilingual":0.04,"stem":0.28},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.46,"probabilities":{"code":0.09,"general":0.59,"multilingual":0.04,"stem":0.28},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":535,"output_tokens":47}} | 535 | 47 | 0.000022 | 720 | 2026-09-20T22:05:14.105274+00:00 | ||
da4676b35c14715c1d9be43234fb26d7 | d470de46eee605a361e07a80 | 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 one chapter story about penguin get meet by polar bear.","role":"user"},{"content":" Title: An Unlikely Friendship\n\nChapter 1: The Meeting\n\nIn the heart of the Antarctic, where the icebergs towered like frozen giants, a young penguin named Pip waddled along the edge of the sea. His... | {"conversation":[{"content":"make one chapter story about penguin get meet by polar bear.","role":"user"},{"content":" Title: An Unlikely Friendship\n\nChapter 1: The Meeting\n\nIn the heart of the Antarctic, where the icebergs towered like frozen giants, a young penguin named Pip waddled along the edge of the sea. His... | {"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 | 1146 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 6,811 | 7,166 | {} | 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":1925,"output_tokens":47}} | 1,925 | 47 | 0.000081 | 617 | 2026-09-20T22:05:14.117981+00:00 | ||
3c4397641179004408b5f0c8519fe3ba | 9fa1dc8e64ae56090a1cd487 | 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":"nov 21 2011","role":"user"},{"content":"The date you've provided, November 21, 2011, was a Monday. It's been over a decade since that date. If you're looking for historical events that happened on this day, here are a few:\n\n1. The European Union imposed new sanctions on Iran due to concer... | {"conversation":[{"content":"nov 21 2011","role":"user"},{"content":"The date you've provided, November 21, 2011, was a Monday. It's been over a decade since that date. If you're looking for historical events that happened on this day, here are a few:\n\n1. The European Union imposed new sanctions on Iran due to concer... | {"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 | 1147 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 4,719 | 5,074 | {} | 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":1603,"output_tokens":47}} | 1,603 | 47 | 0.000067 | 628 | 2026-09-20T22:05:14.246145+00:00 | ||
2fe47a14130c676302416d03e8bced7c | b8d77b350e56aa15188c6132 | 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":"我希望你扮演一个导游，帮助用户安排旅行行程。\n首先，我会给你提供一些背景信息。\n背景信息包括：\n- 景点清单，以及所有景点的属性\n- 用户属性，用户属性是指每一个需要你帮助的用户的特点，主要包括年龄，性别以及出行偏好。这些属性会影响行程推荐。\n- 出行属性，出行属性是指这个行程的基本特征，包括出行类别和出行人数等。你在帮助用户完成行程规划时，这些信息也是需要被考虑的。\n其次，我会给你提供一些行程规划的基本原则，包括游玩时长、景点数目以及优先级等。\n当你充分了解这些信息以后，我会扮演一位用户，你需要基于上述规则和用户偏好，来安排一天的游玩行程。\n现在让我们开始吧... | {"conversation":[{"content":"我希望你扮演一个导游，帮助用户安排旅行行程。\n首先，我会给你提供一些背景信息。\n背景信息包括：\n- 景点清单，以及所有景点的属性\n- 用户属性，用户属性是指每一个需要你帮助的用户的特点，主要包括年龄，性别以及出行偏好。这些属性会影响行程推荐。\n- 出行属性，出行属性是指这个行程的基本特征，包括出行类别和出行人数等。你在帮助用户完成行程规划时，这些信息也是需要被考虑的。\n其次，我会给你提供一些行程规划的基本原则，包括游玩时长、景点数目以及优先级等。\n当你充分了解这些信息以后，我会扮演一位用户，你需要基于上述规则和用户偏好，来安排一天的游玩行程。\n现在让我们开始吧... | {"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 | 1148 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 4,129 | 4,484 | {} | jev-1.13.0 | choice | general | 0.97 | {"code":0.01,"general":0.98,"multilingual":0.01,"stem":0.0} | {"choice":"general","confidence":0.97,"probabilities":{"code":0.01,"general":0.98,"multilingual":0.01,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.97,"probabilities":{"code":0.01,"general":0.98,"multilingual":0.01,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":3733,"output_tokens":47}} | 3,733 | 47 | 0.000157 | 757 | 2026-09-20T22:05:14.495895+00:00 | ||
128cf815818d7659e49558fd8e4a9828 | 6bd011a375520a03406a5b40 | 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 help me write laravel for a stripe integration that uses hosted checkout to take credit cards and the iDEAL payment method?","role":"user"},{"content":"Hello! I'd be happy to help you with that. Here's a basic outline of how you can integrate Stripe's hosted checkout with Larave... | {"conversation":[{"content":"hi! can you help me write laravel for a stripe integration that uses hosted checkout to take credit cards and the iDEAL payment method?","role":"user"},{"content":"Hello! I'd be happy to help you with that. Here's a basic outline of how you can integrate Stripe's hosted checkout with Larave... | {"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 | 1149 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 5,893 | 6,248 | {} | 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":1788,"output_tokens":47}} | 1,788 | 47 | 0.000075 | 700 | 2026-09-20T22:05:14.558606+00:00 | ||
803216429871310cf5f11b5cf3137523 | 504e97db1af0e16f0d82020c | 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":"2022년 월드컵 개최지는 어디야?","role":"user"}]} | {"conversation":[{"content":"2022년 월드컵 개최지는 어디야?","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 | korean | multilingual | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 1151 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 66 | 421 | {} | 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":399,"output_tokens":47}} | 399 | 47 | 0.000017 | 665 | 2026-09-20T22:05:14.641245+00:00 | ||
67a3c9a1918541423d8bc0c945cc2e6a | 90d1041d12208598152df424 | 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":"when does school start","role":"user"}]} | {"conversation":[{"content":"when does school start","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 | 1152 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 69 | 424 | {} | 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":386,"output_tokens":47}} | 386 | 47 | 0.000016 | 769 | 2026-09-20T22:05:14.870088+00:00 | ||
8d712f1ce78e6f192d6eb04c565ef9fa | 99a8675b6149edd6bae67787 | 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":"如何做一个xss渗透测试报告","role":"user"}]} | {"conversation":[{"content":"如何做一个xss渗透测试报告","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 | 1153 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 61 | 416 | {} | jev-1.13.0 | choice | code | 0.71 | {"code":0.78,"general":0.01,"multilingual":0.01,"stem":0.2} | {"choice":"code","confidence":0.71,"probabilities":{"code":0.78,"general":0.01,"multilingual":0.01,"stem":0.2},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":0.71,"probabilities":{"code":0.78,"general":0.01,"multilingual":0.01,"stem":0.2},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":396,"output_tokens":47}} | 396 | 47 | 0.000017 | 653 | 2026-09-20T22:05:14.870341+00:00 | ||
d317072b9fab1a1432a1d934fc416ae0 | 571f537d19aa2176cb9b5437 | 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 suggest me how to create a draggable react window using nextjs?","role":"user"},{"content":"Certainly! To create a draggable React window using Next.js, you can use the `react-draggable` library. Here's a step-by-step guide on how to do it:\n\n1. Install the `react-draggable` librar... | {"conversation":[{"content":"can you suggest me how to create a draggable react window using nextjs?","role":"user"},{"content":"Certainly! To create a draggable React window using Next.js, you can use the `react-draggable` library. Here's a step-by-step guide on how to do it:\n\n1. Install the `react-draggable` librar... | {"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 | 1154 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 1,767 | 2,122 | {} | 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":867,"output_tokens":47}} | 867 | 47 | 0.000036 | 577 | 2026-09-20T22:05:14.917749+00:00 | ||
54024a0d2732651416c5789fdec89d5b | 30497e77d4bc2011a885003c | 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":"Briefly explain the concepts of Imperialism and reparations in a few sentences.","role":"user"},{"content":"Imperialism refers to the policy or ideology of extending a nation's rule over foreign countries, often through military force or other means of control, to exploit their resources an... | {"conversation":[{"content":"Briefly explain the concepts of Imperialism and reparations in a few sentences.","role":"user"},{"content":"Imperialism refers to the policy or ideology of extending a nation's rule over foreign countries, often through military force or other means of control, to exploit their resources 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... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 1155 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 6,148 | 6,503 | {} | 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":1736,"output_tokens":47}} | 1,736 | 47 | 0.000073 | 673 | 2026-09-20T22:05:15.134413+00:00 | ||
d1fa61b1eee1533e651ac5ecf045de22 | 1e9caf82a74812ff4a540717 | 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 explored the Lush Cave we called home, wondering where my older sister is. Sure, I may be a Cave Spider and my older sister is a regular Spider, but we're still sisters nonetheless. Then, I notice her in a cobweb - and she was wrapped up in a cocoon made of her own silk.)\n\nMindy: \"Hey... | {"conversation":[{"content":"(I explored the Lush Cave we called home, wondering where my older sister is. Sure, I may be a Cave Spider and my older sister is a regular Spider, but we're still sisters nonetheless. Then, I notice her in a cobweb - and she was wrapped up in a cocoon made of her own silk.)\n\nMindy: \"Hey... | {"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 | 1156 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 409 | 764 | {} | 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":472,"output_tokens":47}} | 472 | 47 | 0.00002 | 624 | 2026-09-20T22:05:15.206177+00:00 | ||
75592d3d7f9737e8857089a2bca13be8 | 005b686d7a50c3473b62ebfe | 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 name of the danish goldsmith who founded the pandora jewelry company","role":"user"}]} | {"conversation":[{"content":"what is the name of the danish goldsmith who founded the pandora jewelry company","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 | 1157 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 127 | 482 | {} | 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":400,"output_tokens":47}} | 400 | 47 | 0.000017 | 697 | 2026-09-20T22:05:15.394747+00:00 | ||
96cc7a86bcdb34496cac45923b84d8d5 | 79d8ffe3044f1ba3974b5c30 | 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 coding interview question for a nodejs developer","role":"user"},{"content":"Sure, I'd be happy to help! Here's a coding interview question that could be suitable for a Node.js developer:\n\n**Question:** Write a Node.js script that uses the `https` module to fetch data from a pub... | {"conversation":[{"content":"Give me a coding interview question for a nodejs developer","role":"user"},{"content":"Sure, I'd be happy to help! Here's a coding interview question that could be suitable for a Node.js developer:\n\n**Question:** Write a Node.js script that uses the `https` module to fetch data from a pub... | {"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 | 1158 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 3,970 | 4,325 | {} | 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":1317,"output_tokens":47}} | 1,317 | 47 | 0.000055 | 626 | 2026-09-20T22:05:15.450076+00:00 | ||
e937e682c2d529eb6255a055dc290ddd | b0666b85413f268738e47a96 | 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":"someone wants 48 cupcakes but they only want a fourth of that","role":"user"}]} | {"conversation":[{"content":"someone wants 48 cupcakes but they only want a fourth of that","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 | 1159 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 108 | 463 | {} | jev-1.13.0 | choice | stem | 0.83 | {"code":0.0,"general":0.13,"multilingual":0.0,"stem":0.87} | {"choice":"stem","confidence":0.83,"probabilities":{"code":0.0,"general":0.13,"multilingual":0.0,"stem":0.87},"type":"choice"} | {"answers":{"domain":{"choice":"stem","confidence":0.83,"probabilities":{"code":0.0,"general":0.13,"multilingual":0.0,"stem":0.87},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":396,"output_tokens":47}} | 396 | 47 | 0.000017 | 642 | 2026-09-20T22:05:15.584248+00:00 | ||
92e7556481451a6dafd6cebb094718c6 | 0cdfad3da25c3bfa449dd5db | 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 a problem:\n\nThe submarine has been making some odd creaking noises, so you ask it to produce a diagnostic report just in case.\n\nThe diagnostic report (your puzzle input) consists of a list of binary numbers which, when decoded properly, can tell you many useful things about the ... | {"conversation":[{"content":"This is a problem:\n\nThe submarine has been making some odd creaking noises, so you ask it to produce a diagnostic report just in case.\n\nThe diagnostic report (your puzzle input) consists of a list of binary numbers which, when decoded properly, can tell you many useful things about 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... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | python | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 1160 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 5,009 | 5,364 | {} | jev-1.13.0 | choice | code | 0.96 | {"code":0.97,"general":0.0,"multilingual":0.0,"stem":0.03} | {"choice":"code","confidence":0.96,"probabilities":{"code":0.97,"general":0.0,"multilingual":0.0,"stem":0.03},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":0.96,"probabilities":{"code":0.97,"general":0.0,"multilingual":0.0,"stem":0.03},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":1708,"output_tokens":47}} | 1,708 | 47 | 0.000072 | 676 | 2026-09-20T22:05:15.732235+00:00 | ||
d80347b0246371aa480b97875d0758b1 | 8d59ce317bea3c1634308dd1 | 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 dependency and how does it work in a spring framework?","role":"user"},{"content":"In the context of the Spring Framework, a dependency refers to an object that another object relies on to perform its functions. Dependency management is a crucial aspect of Spring, which promotes loo... | {"conversation":[{"content":"What is dependency and how does it work in a spring framework?","role":"user"},{"content":"In the context of the Spring Framework, a dependency refers to an object that another object relies on to perform its functions. Dependency management is a crucial aspect of Spring, which promotes loo... | {"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 | 1162 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 9,665 | 10,020 | {} | 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":2542,"output_tokens":47}} | 2,542 | 47 | 0.000107 | 639 | 2026-09-20T22:05:15.823072+00:00 | ||
47cf348c5bf2666ce4ba24c8c7f01528 | 549083e1d233abc2cd546b0d | 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 write a code for my machine learning competetion?","role":"user"}]} | {"conversation":[{"content":"Could you write a code for my machine learning competetion?","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 | 1163 | 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 | 0.97 | {"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":395,"output_tokens":47}} | 395 | 47 | 0.000017 | 741 | 2026-09-20T22:05:16.039049+00:00 | ||
7cd850cca49735d66d4b9f62fd0be94f | 7f7d96b6833d110611b23181 | 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":"crie uma conversa entre 2 pessoas","role":"user"},{"content":"Pessoa 1: Oi, tudo bem?\n\nPessoa 2: Oi, tudo bem contigo também. Como vai?\n\nPessoa 1: Estou bem, obrigado. E você, o que tem feito?\n\nPessoa 2: Não muito, só trabalhando e aproveitando o tempo livre para ler um pouco. E você,... | {"conversation":[{"content":"crie uma conversa entre 2 pessoas","role":"user"},{"content":"Pessoa 1: Oi, tudo bem?\n\nPessoa 2: Oi, tudo bem contigo também. Como vai?\n\nPessoa 1: Estou bem, obrigado. E você, o que tem feito?\n\nPessoa 2: Não muito, só trabalhando e aproveitando o tempo livre para ler um pouco. E você,... | {"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 | 1164 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 1,877 | 2,232 | {} | jev-1.13.0 | choice | stem | 0.66 | {"code":0.0,"general":0.19,"multilingual":0.06,"stem":0.75} | {"choice":"stem","confidence":0.66,"probabilities":{"code":0.0,"general":0.19,"multilingual":0.06,"stem":0.75},"type":"choice"} | {"answers":{"domain":{"choice":"stem","confidence":0.66,"probabilities":{"code":0.0,"general":0.19,"multilingual":0.06,"stem":0.75},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":910,"output_tokens":47}} | 910 | 47 | 0.000038 | 604 | 2026-09-20T22:05:16.021097+00:00 | ||
b42a7958c25fac78df1f13fcc5b21d23 | db8533986c03543f21debdd1 | 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":"要求：概括张继科和陈梦职业生涯和个人成就方面的共同点\n张继科，1988年2月16日出生山东省青岛市，中国男子乒乓球队运动员，是继刘国梁、孔令辉后的中国男乒史上第3位大满贯选手，也是乒坛历史上第7位大满贯选手。\n张继科从4岁由身为乒乓球教练的父亲张传铭带入门，2002年进入国乒二队，2003年升入国家一队，2004年10月因为违纪被下放山东省队，06年11月重新回归国乒一队，起初给王皓等主力阵容做陪练。2008年全国乒乓球锦标赛中，张继科连赢马琳、王励勤、王皓，赢得职业生涯首个全国乒乓球锦标赛男单冠军，自此成为球队主力。2009年的世乒赛，张继科夺得男双季军和混双亚军。同年... | {"conversation":[{"content":"要求：概括张继科和陈梦职业生涯和个人成就方面的共同点\n张继科，1988年2月16日出生山东省青岛市，中国男子乒乓球队运动员，是继刘国梁、孔令辉后的中国男乒史上第3位大满贯选手，也是乒坛历史上第7位大满贯选手。\n张继科从4岁由身为乒乓球教练的父亲张传铭带入门，2002年进入国乒二队，2003年升入国家一队，2004年10月因为违纪被下放山东省队，06年11月重新回归国乒一队，起初给王皓等主力阵容做陪练。2008年全国乒乓球锦标赛中，张继科连赢马琳、王励勤、王皓，赢得职业生涯首个全国乒乓球锦标赛男单冠军，自此成为球队主力。2009年的世乒赛，张继科夺得男双季军和混双亚军。同年... | {"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 | 1165 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 1,282 | 1,637 | {} | jev-1.13.0 | choice | general | 0.98 | {"code":0.0,"general":0.98,"multilingual":0.02,"stem":0.0} | {"choice":"general","confidence":0.98,"probabilities":{"code":0.0,"general":0.98,"multilingual":0.02,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.98,"probabilities":{"code":0.0,"general":0.98,"multilingual":0.02,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":1661,"output_tokens":47}} | 1,661 | 47 | 0.00007 | 714 | 2026-09-20T22:05:16.255068+00:00 | ||
1be21f3144d3cfc57f3509c67dda6ccd | 7f77e47178092b657d85723a | 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 comedic and detailed scene set in the TV show Outlander about Jamie Fraser (played by Sam Heughan)waking up in bed and deciding he’s gonna have fish for breakfast. Jamie takes a burlap sack with him and goes outside to a pond near his home, he loves hunting fish by using his smelly ... | {"conversation":[{"content":"write a comedic and detailed scene set in the TV show Outlander about Jamie Fraser (played by Sam Heughan)waking up in bed and deciding he’s gonna have fish for breakfast. Jamie takes a burlap sack with him and goes outside to a pond near his home, he loves hunting fish by using his smelly ... | {"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 | 1166 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 962 | 1,317 | {} | 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":580,"output_tokens":47}} | 580 | 47 | 0.000024 | 784 | 2026-09-20T22:05:16.441877+00:00 | ||
539ba9706bcdbbfc62bd01e833394668 | 7496add49aef2f9cc58dd0d5 | 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":"Power BI Desktop: To change the canvas size from A4 to A3","role":"user"},{"content":"Unfortunately, Power BI Desktop does not support changing the canvas size to specific paper sizes like A4 or A3. The canvas size is fixed and cannot be altered. However, you can adjust the visuals and layo... | {"conversation":[{"content":"Power BI Desktop: To change the canvas size from A4 to A3","role":"user"},{"content":"Unfortunately, Power BI Desktop does not support changing the canvas size to specific paper sizes like A4 or A3. The canvas size is fixed and cannot be altered. However, you can adjust the visuals and layo... | {"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 | 1167 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 1,001 | 1,356 | {} | jev-1.13.0 | choice | code | 0.77 | {"code":0.82,"general":0.02,"multilingual":0.0,"stem":0.16} | {"choice":"code","confidence":0.77,"probabilities":{"code":0.82,"general":0.02,"multilingual":0.0,"stem":0.16},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":0.77,"probabilities":{"code":0.82,"general":0.02,"multilingual":0.0,"stem":0.16},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":618,"output_tokens":47}} | 618 | 47 | 0.000026 | 663 | 2026-09-20T22:05:16.441700+00:00 | ||
49f38f43582608daaafc1f4d0f50e022 | ac54d1d1b1722097ced1fba1 | 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 games roblox og users are playing?","role":"user"},{"content":"It's impossible to say definitively what *all* OG Roblox users are playing! Tastes are diverse, and what was popular years ago might not be now. \n\nHowever, here are some factors to consider and some games that might appea... | {"conversation":[{"content":"What games roblox og users are playing?","role":"user"},{"content":"It's impossible to say definitively what *all* OG Roblox users are playing! Tastes are diverse, and what was popular years ago might not be now. \n\nHowever, here are some factors to consider and some games that might appea... | {"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 | 1168 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 2,042 | 2,397 | {} | 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":849,"output_tokens":47}} | 849 | 47 | 0.000036 | 662 | 2026-09-20T22:05:16.567427+00:00 | ||
16ce2cbd6c2288b5deffd126a3eb2973 | 5f4fac900fefb9b59795975d | 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 thing about Escape Room: Tournament of Champions","role":"user"}]} | {"conversation":[{"content":"what is the best thing about Escape Room: Tournament of Champions","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 | 1169 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 112 | 467 | {} | jev-1.13.0 | choice | general | 0.98 | {"code":0.01,"general":0.99,"multilingual":0.0,"stem":0.0} | {"choice":"general","confidence":0.98,"probabilities":{"code":0.01,"general":0.99,"multilingual":0.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.98,"probabilities":{"code":0.01,"general":0.99,"multilingual":0.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":394,"output_tokens":47}} | 394 | 47 | 0.000017 | 707 | 2026-09-20T22:05:16.723198+00:00 | ||
2dc560bc65e03f2ca6d0c8db94cc18ad | f15896f70d9a909cbf15e528 | 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":"432ppiのピクセル密度はいくつですか","role":"user"},{"content":"432ppi（ピクセル/インチ）は、1インチあたりに432ピクセルがあることを示しています。これは、ピクセル密度の単位です。具体的なピクセル数は、ディスプレイのサイズによって異なります。たとえば、5インチのディスプレイであれば、432ppiの場合、縦横それぞれのピクセル数は、5×432=2160ピクセルとなります。","role":"assistant"},{"content":"Pixel5（6.0インチ、1080 x 2340px）の30pxをdpに変換するとどうなりますか。... | {"conversation":[{"content":"432ppiのピクセル密度はいくつですか","role":"user"},{"content":"432ppi（ピクセル/インチ）は、1インチあたりに432ピクセルがあることを示しています。これは、ピクセル密度の単位です。具体的なピクセル数は、ディスプレイのサイズによって異なります。たとえば、5インチのディスプレイであれば、432ppiの場合、縦横それぞれのピクセル数は、5×432=2160ピクセルとなります。","role":"assistant"},{"content":"Pixel5（6.0インチ、1080 x 2340px）の30pxをdpに変換するとどうなりますか。... | {"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 | 1171 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 348 | 703 | {} | jev-1.13.0 | choice | code | 0.51 | {"code":0.63,"general":0.01,"multilingual":0.0,"stem":0.36} | {"choice":"code","confidence":0.51,"probabilities":{"code":0.63,"general":0.01,"multilingual":0.0,"stem":0.36},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":0.51,"probabilities":{"code":0.63,"general":0.01,"multilingual":0.0,"stem":0.36},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":639,"output_tokens":47}} | 639 | 47 | 0.000027 | 646 | 2026-09-20T22:05:16.787959+00:00 | ||
1bfdc33c578807b12e00c9ae4798034f | 512be0f5d30e7d369a6eaecd | 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 models for a bill-splitting app in Django. Each bill will have participants (users of the app), a status (which could be settled, unsettled, pending or overdue), a name, and a field that determines whether it repeats every month, day or year or does not repeat at all. It should have ... | {"conversation":[{"content":"Create models for a bill-splitting app in Django. Each bill will have participants (users of the app), a status (which could be settled, unsettled, pending or overdue), a name, and a field that determines whether it repeats every month, day or year or does not repeat at all. It should have ... | {"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 | 1172 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 1,033 | 1,388 | {} | 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":588,"output_tokens":47}} | 588 | 47 | 0.000025 | 704 | 2026-09-20T22:05:16.967398+00:00 | ||
8156fd5850d50115fc68db2ab97089c7 | 5906787c8ee54eb05fb1ed6f | 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's the best dxtory codec to get not heavy videos in size? ","role":"user"},{"content":"Dxtory is a popular screen recording software that supports various codecs. If you're looking to get not-so-heavy videos in terms of size, you might want to consider using a more efficient codec.\n\nT... | {"conversation":[{"content":"What's the best dxtory codec to get not heavy videos in size? ","role":"user"},{"content":"Dxtory is a popular screen recording software that supports various codecs. If you're looking to get not-so-heavy videos in terms of size, you might want to consider using a more efficient codec.\n\nT... | {"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 | 1173 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 3,339 | 3,694 | {} | jev-1.13.0 | choice | code | 0.54 | {"code":0.66,"general":0.03,"multilingual":0.0,"stem":0.31} | {"choice":"code","confidence":0.54,"probabilities":{"code":0.66,"general":0.03,"multilingual":0.0,"stem":0.31},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":0.54,"probabilities":{"code":0.66,"general":0.03,"multilingual":0.0,"stem":0.31},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":1189,"output_tokens":47}} | 1,189 | 47 | 0.00005 | 690 | 2026-09-20T22:05:17.073912+00:00 | ||
13bb8550fe5667ee24edcabdc3e410e9 | 6c0ae46dc876b3fe5c08382a | 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":"「「ネコひねり問題」を超一流の科学者たちが全力で考えてみた」「ネコの空中立ち直り反射」という当然の謎に迫る」（isbn:978-4-478-10937-3）のあらすじを３００字教えてください","role":"user"}]} | {"conversation":[{"content":"「「ネコひねり問題」を超一流の科学者たちが全力で考えてみた」「ネコの空中立ち直り反射」という当然の謎に迫る」（isbn:978-4-478-10937-3）のあらすじを３００字教えてください","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 | 1174 | 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 | stem | 0.64 | {"code":0.0,"general":0.16,"multilingual":0.1,"stem":0.74} | {"choice":"stem","confidence":0.64,"probabilities":{"code":0.0,"general":0.16,"multilingual":0.1,"stem":0.74},"type":"choice"} | {"answers":{"domain":{"choice":"stem","confidence":0.64,"probabilities":{"code":0.0,"general":0.16,"multilingual":0.1,"stem":0.74},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":473,"output_tokens":47}} | 473 | 47 | 0.00002 | 610 | 2026-09-20T22:05:17.109433+00:00 | ||
e2f9d42430fc2c72eea994ff7899800f | 9a4c56cce78994dcefa945d9 | 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":"citar 10 ideias criativas de propaganda com manteiga vegana","role":"user"},{"content":"1. \"Manteiga Vegana: A Escolha Amorosa\" - Uma campanha que destaca a compaixão e o respeito pelos animais, mostrando como a manteiga vegana é uma alternativa ética e saborosa.\n\n2. \"Desafio da Mantei... | {"conversation":[{"content":"citar 10 ideias criativas de propaganda com manteiga vegana","role":"user"},{"content":"1. \"Manteiga Vegana: A Escolha Amorosa\" - Uma campanha que destaca a compaixão e o respeito pelos animais, mostrando como a manteiga vegana é uma alternativa ética e saborosa.\n\n2. \"Desafio da Mantei... | {"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 | 1175 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 6,548 | 6,903 | {} | jev-1.13.0 | choice | general | 0.97 | {"code":0.0,"general":0.98,"multilingual":0.02,"stem":0.0} | {"choice":"general","confidence":0.97,"probabilities":{"code":0.0,"general":0.98,"multilingual":0.02,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.97,"probabilities":{"code":0.0,"general":0.98,"multilingual":0.02,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":2150,"output_tokens":47}} | 2,150 | 47 | 0.00009 | 692 | 2026-09-20T22:05:17.308571+00:00 | ||
748add7b8e57600a2a00b7443824ad10 | f370252df3481d24362940ab | 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":"請幫我推薦沖繩四天三夜行程","role":"user"}]} | {"conversation":[{"content":"請幫我推薦沖繩四天三夜行程","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 | 1176 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 60 | 415 | {} | jev-1.13.0 | choice | general | 0.96 | {"code":0.0,"general":0.97,"multilingual":0.03,"stem":0.0} | {"choice":"general","confidence":0.96,"probabilities":{"code":0.0,"general":0.97,"multilingual":0.03,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.96,"probabilities":{"code":0.0,"general":0.97,"multilingual":0.03,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":397,"output_tokens":47}} | 397 | 47 | 0.000017 | 753 | 2026-09-20T22:05:17.489763+00:00 | ||
83267b4a29e5dd5201d7a1f7883317dd | 7ccf3e119833afb77fbae353 | 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":"Genera un progetto di dottorato sul seguente tema \"blockchain per la certificazione e la compliance tecnica ed etica delle interfacce neurali in relazione anche all'intelligenza artificiale e agli algoritmi complessi\".\nInserisci i riferimenti accademici da cui partire per sviluppare la r... | {"conversation":[{"content":"Genera un progetto di dottorato sul seguente tema \"blockchain per la certificazione e la compliance tecnica ed etica delle interfacce neurali in relazione anche all'intelligenza artificiale e agli algoritmi complessi\".\nInserisci i riferimenti accademici da cui partire per sviluppare la r... | {"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 | 1177 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 754 | 1,109 | {} | 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":556,"output_tokens":47}} | 556 | 47 | 0.000023 | 647 | 2026-09-20T22:05:17.510324+00:00 | ||
ef986f61d4548ac43cacc92efe7ba2bd | 8e6586131934b8696e322ee6 | 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 would be recommended to examine incident response processes to identify opportunities for improvement","role":"user"}]} | {"conversation":[{"content":"what would be recommended to examine incident response processes to identify opportunities for improvement","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 | 1178 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 153 | 508 | {} | jev-1.13.0 | choice | stem | 0.62 | {"code":0.01,"general":0.27,"multilingual":0.0,"stem":0.72} | {"choice":"stem","confidence":0.62,"probabilities":{"code":0.01,"general":0.27,"multilingual":0.0,"stem":0.72},"type":"choice"} | {"answers":{"domain":{"choice":"stem","confidence":0.62,"probabilities":{"code":0.01,"general":0.27,"multilingual":0.0,"stem":0.72},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":396,"output_tokens":47}} | 396 | 47 | 0.000017 | 647 | 2026-09-20T22:05:17.630947+00:00 | ||
9ca0cfbc592d34850c5dfcde5bdcf84f | eefe40779ccb935eb8c43a89 | 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":"John likes playing rugby. He loves getting muddy. He has just finished a game and is unevenly smeared with a thin layer of partly dried mud. Please write a simple unpretentious paragraph describing the state of the pitch before the game started.","role":"user"},{"content":" The rugby pitch ... | {"conversation":[{"content":"John likes playing rugby. He loves getting muddy. He has just finished a game and is unevenly smeared with a thin layer of partly dried mud. Please write a simple unpretentious paragraph describing the state of the pitch before the game started.","role":"user"},{"content":" The rugby pitch ... | {"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 | 1179 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 1,228 | 1,583 | {} | 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":653,"output_tokens":47}} | 653 | 47 | 0.000027 | 679 | 2026-09-20T22:05:17.785136+00:00 | ||
ba8029b33f41c335133a5de542563da1 | d3184fe050c66430e45f03aa | 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":"Critique the following query, please:\n\nselect\n e.emp_id,\n e.emp_name,\n d.dept_name\nfrom\n Employee e\n Department d\nwhere\n e.dept_id = d.dept_id (+)\n and d.dept_name = 'finance'\n and e.emp_name like '%A%'\n and e.salary > 500;","role":"user"}]} | {"conversation":[{"content":"Critique the following query, please:\n\nselect\n e.emp_id,\n e.emp_name,\n d.dept_name\nfrom\n Employee e\n Department d\nwhere\n e.dept_id = d.dept_id (+)\n and d.dept_name = 'finance'\n and e.emp_name like '%A%'\n and e.salary > 500;","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 | sql | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 1180 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 292 | 647 | {} | 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":462,"output_tokens":47}} | 462 | 47 | 0.000019 | 681 | 2026-09-20T22:05:17.898813+00:00 | ||
2b8e388581187df87c3000ae73b56ffc | 1e20f15569bbe18a83b7e029 | 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 Imagine Satirical General Motors Division Slogans That Are Based On Their Design During 2009 And Their Meaning?","role":"user"},{"content":"Here are some satirical General Motors division slogans based on their designs in 2009, playing on the themes of that era:\n\n**Chevrolet:**\n\... | {"conversation":[{"content":"Can You Imagine Satirical General Motors Division Slogans That Are Based On Their Design During 2009 And Their Meaning?","role":"user"},{"content":"Here are some satirical General Motors division slogans based on their designs in 2009, playing on the themes of that era:\n\n**Chevrolet:**\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... | general | null | {"domain":{"label":"general","score":null,"source":"source_metadata"}} | source_metadata | english | general | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 1181 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 6,863 | 7,218 | {} | 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":2223,"output_tokens":47}} | 2,223 | 47 | 0.000093 | 682 | 2026-09-20T22:05:18.025865+00:00 | ||
699bf9f3c4f51a7627c984b9d9be84c3 | d956c7adb658b30f99a89bb3 | 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 know CESC limited","role":"user"}]} | {"conversation":[{"content":"I want to know CESC limited","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 | 1182 | 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 | 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":389,"output_tokens":47}} | 389 | 47 | 0.000016 | 642 | 2026-09-20T22:05:18.104219+00:00 | ||
d8d22d60ea7367855b294dda8c10b938 | 489f72a3c9285b0c2b093176 | 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":"A. Blog：アドセンス、旅とオンライン系アフィリエイト（現在進行中）\nB. Note記事作成：記事とデジタルコンテンツ販売（準備期間3か月）\nC. Canvaデジタルプロダクト：デジタルテンプレート、プリント等をEtsyにて販売（準備期間3か月）\nD. 留学ブログ：留学エージェンシーのアフィリエイト（準備期間3か月）\nE. Web制作、デザイン：クラウドワークス・スキルシェアで案件を受注（準備期間6か月）\nF. 動画翻訳字幕つけ：動画の日英翻訳の字幕作成をクラウドワークスで受注（準備期間3か月）\nG. 留学サポート：日本人のアメリカ留学生サポートとホームステイ... | {"conversation":[{"content":"A. Blog：アドセンス、旅とオンライン系アフィリエイト（現在進行中）\nB. Note記事作成：記事とデジタルコンテンツ販売（準備期間3か月）\nC. Canvaデジタルプロダクト：デジタルテンプレート、プリント等をEtsyにて販売（準備期間3か月）\nD. 留学ブログ：留学エージェンシーのアフィリエイト（準備期間3か月）\nE. Web制作、デザイン：クラウドワークス・スキルシェアで案件を受注（準備期間6か月）\nF. 動画翻訳字幕つけ：動画の日英翻訳の字幕作成をクラウドワークスで受注（準備期間3か月）\nG. 留学サポート：日本人のアメリカ留学生サポートとホームステイ... | {"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 | 1183 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 3,285 | 3,640 | {} | 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":3224,"output_tokens":47}} | 3,224 | 47 | 0.000135 | 732 | 2026-09-20T22:05:18.315588+00:00 | ||
2de6e60dccde97ac256f21c4506a91d8 | 5757cfb3ed30fcfba4fc2c52 | 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 improvments: \"It was a good place, good location, bed sheets and towels were clean and the place was spacious, it was easy to check in and the communication with alex and linda was smooth and easy\"","role":"user"},{"content":"Here's an improved version of your review with more descri... | {"conversation":[{"content":"Make improvments: \"It was a good place, good location, bed sheets and towels were clean and the place was spacious, it was easy to check in and the communication with alex and linda was smooth and easy\"","role":"user"},{"content":"Here's an improved version of your review with more descri... | {"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 | 1184 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 1,681 | 2,036 | {} | 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":725,"output_tokens":47}} | 725 | 47 | 0.00003 | 603 | 2026-09-20T22:05:18.303764+00:00 | ||
7db780a363b4956e91efc15cafd79bf5 | 15f548f5fd3220051f024d91 | 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 use \"suspect of\" and another preposition phrase","role":"user"},{"content":"The phrase \"suspect of\" is typically used when you want to express that you believe someone is guilty of a crime or wrongdoing. Here's an example:\n\n- I suspect him of stealing the money.\n\nHowever, if ... | {"conversation":[{"content":"how to use \"suspect of\" and another preposition phrase","role":"user"},{"content":"The phrase \"suspect of\" is typically used when you want to express that you believe someone is guilty of a crime or wrongdoing. Here's an example:\n\n- I suspect him of stealing the money.\n\nHowever, if ... | {"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 | 1185 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 1,975 | 2,330 | {} | jev-1.13.0 | choice | multilingual | 0.8 | {"code":0.0,"general":0.15,"multilingual":0.85,"stem":0.0} | {"choice":"multilingual","confidence":0.8,"probabilities":{"code":0.0,"general":0.15,"multilingual":0.85,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"multilingual","confidence":0.8,"probabilities":{"code":0.0,"general":0.15,"multilingual":0.85,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":858,"output_tokens":49}} | 858 | 49 | 0.000036 | 714 | 2026-09-20T22:05:18.539962+00:00 | ||
b55283583653db2e24d294c16df5cb7b | 53e1aa58123dd7e9aefc34d0 | 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":"biggest ddos attack on hypixel","role":"user"},{"content":"I don't have real-time information or access to specific security incidents, so I can't provide the details about the biggest DDoS attack on Hypixel. However, I can tell you that Hypixel, a popular Minecraft minigame server, has exp... | {"conversation":[{"content":"biggest ddos attack on hypixel","role":"user"},{"content":"I don't have real-time information or access to specific security incidents, so I can't provide the details about the biggest DDoS attack on Hypixel. However, I can tell you that Hypixel, a popular Minecraft minigame server, has exp... | {"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 | 1186 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 1,027 | 1,382 | {} | jev-1.13.0 | choice | stem | 0.63 | {"code":0.02,"general":0.26,"multilingual":0.0,"stem":0.72} | {"choice":"stem","confidence":0.63,"probabilities":{"code":0.02,"general":0.26,"multilingual":0.0,"stem":0.72},"type":"choice"} | {"answers":{"domain":{"choice":"stem","confidence":0.63,"probabilities":{"code":0.02,"general":0.26,"multilingual":0.0,"stem":0.72},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":614,"output_tokens":47}} | 614 | 47 | 0.000026 | 732 | 2026-09-20T22:05:18.674228+00:00 | ||
845f58be40204be34d943d7c93efc817 | 260ba3d5c9980e40a75046c8 | 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":"biggest pre-ww1 mobolization armies.","role":"user"}]} | {"conversation":[{"content":"biggest pre-ww1 mobolization armies.","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 | 1187 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 83 | 438 | {} | 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":394,"output_tokens":47}} | 394 | 47 | 0.000017 | 618 | 2026-09-20T22:05:18.683853+00:00 | ||
c3326c6328f9502bf73818f67baf3b27 | 8aa84fd122916c12b1377c55 | 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":"split string to char array python","role":"user"},{"content":"In Python, you can split a string into a list of characters (char array) using the built-in `split()` function. Here's an example:\n\n```python\nmy_string = \"Hello, World!\"\nchar_array = list(my_string)\nprint(char_array)\n```\... | {"conversation":[{"content":"split string to char array python","role":"user"},{"content":"In Python, you can split a string into a list of characters (char array) using the built-in `split()` function. Here's an example:\n\n```python\nmy_string = \"Hello, World!\"\nchar_array = list(my_string)\nprint(char_array)\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... | code | null | {"domain":{"label":"code","score":null,"source":"source_metadata"}} | source_metadata | python | code | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 1188 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 10,158 | 10,513 | {} | 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":2887,"output_tokens":47}} | 2,887 | 47 | 0.000121 | 668 | 2026-09-20T22:05:18.851772+00:00 | ||
04f8a059f569a68fb65fe8190e9493f6 | 84603f960acd5463af51b6a3 | 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 the main point to spread sites 4G in atoll?","role":"user"},{"content":"The main point to spread 4G sites in atolls is to improve connectivity and communication infrastructure in these remote and often underserved areas. Atolls, which are low-lying coral islands, are typically found in... | {"conversation":[{"content":"what the main point to spread sites 4G in atoll?","role":"user"},{"content":"The main point to spread 4G sites in atolls is to improve connectivity and communication infrastructure in these remote and often underserved areas. Atolls, which are low-lying coral islands, are typically found 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... | stem | null | {"domain":{"label":"stem","score":null,"source":"source_metadata"}} | source_metadata | english | stem | base | 4 | nvidia/HelpSteer3 | f6d145777bcbde96137596340fab89793acd1031 | principle | train | 1189 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 5,687 | 6,042 | {} | 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":1494,"output_tokens":47}} | 1,494 | 47 | 0.000063 | 650 | 2026-09-20T22:05:18.950736+00:00 | ||
5e281a9acf8f979ab03347d9d2792645 | 47fc48663c773929427b054a | 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 year is currently 2100.","role":"user"}]} | {"conversation":[{"content":"The year is currently 2100.","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 | 1190 | 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 | general | 0.98 | {"code":0.0,"general":0.99,"multilingual":0.0,"stem":0.01} | {"choice":"general","confidence":0.98,"probabilities":{"code":0.0,"general":0.99,"multilingual":0.0,"stem":0.01},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.98,"probabilities":{"code":0.0,"general":0.99,"multilingual":0.0,"stem":0.01},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":392,"output_tokens":47}} | 392 | 47 | 0.000016 | 648 | 2026-09-20T22:05:19.064790+00:00 | ||
3696313641c5a65fc86292972825c492 | d72fbf6d3f04d0879411f16a | 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 large dataset of image and i want to train them all ","role":"user"},{"content":"Training a large dataset of images involves several steps, including preprocessing, augmenting the dataset, selecting a suitable deep learning model, training the model, and evaluating its performance. H... | {"conversation":[{"content":"i have large dataset of image and i want to train them all ","role":"user"},{"content":"Training a large dataset of images involves several steps, including preprocessing, augmenting the dataset, selecting a suitable deep learning model, training the model, and evaluating its performance. H... | {"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 | 1191 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 8,624 | 8,979 | {} | jev-1.13.0 | choice | code | 0.37 | {"code":0.53,"general":0.0,"multilingual":0.0,"stem":0.47} | {"choice":"code","confidence":0.37,"probabilities":{"code":0.53,"general":0.0,"multilingual":0.0,"stem":0.47},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":0.37,"probabilities":{"code":0.53,"general":0.0,"multilingual":0.0,"stem":0.47},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":2261,"output_tokens":47}} | 2,261 | 47 | 0.000095 | 616 | 2026-09-20T22:05:19.161198+00:00 | ||
33de93e30dffe5b13e9aa9ea7f5ff55a | d78fb28c10f3ef91888104b3 | 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":"Develop an algorith in any programming language to simulate the Meiosis process, the generation of sperm and/or ovary DNA, given a .txt DNA file","role":"user"}]} | {"conversation":[{"content":"Develop an algorith in any programming language to simulate the Meiosis process, the generation of sperm and/or ovary DNA, given a .txt DNA file","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 | 1192 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 191 | 546 | {} | jev-1.13.0 | choice | code | 0.85 | {"code":0.89,"general":0.0,"multilingual":0.0,"stem":0.11} | {"choice":"code","confidence":0.85,"probabilities":{"code":0.89,"general":0.0,"multilingual":0.0,"stem":0.11},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":0.85,"probabilities":{"code":0.89,"general":0.0,"multilingual":0.0,"stem":0.11},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":413,"output_tokens":47}} | 413 | 47 | 0.000017 | 701 | 2026-09-20T22:05:19.363964+00:00 | ||
90cdc8fd8f24e7aa65256a9f5b632b3f | 7bd6eec0b2c274eb202ffaf8 | 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 me a study guide based on this infomation that will be on my ap cs midterm: Topics needed for the AP Comp Sci Midterm:\n[\nint, double, Boolean\nStrings - .substring, .equals, .length(), indexOf(string), x.compareTo(y) , and using + to concatenate\nArithmetic operators + - * / %\nIncr... | {"conversation":[{"content":"make me a study guide based on this infomation that will be on my ap cs midterm: Topics needed for the AP Comp Sci Midterm:\n[\nint, double, Boolean\nStrings - .substring, .equals, .length(), indexOf(string), x.compareTo(y) , and using + to concatenate\nArithmetic operators + - * / %\nIncr... | {"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 | 1194 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 1,030 | 1,385 | {} | jev-1.13.0 | choice | code | 0.95 | {"code":0.96,"general":0.0,"multilingual":0.0,"stem":0.04} | {"choice":"code","confidence":0.95,"probabilities":{"code":0.96,"general":0.0,"multilingual":0.0,"stem":0.04},"type":"choice"} | {"answers":{"domain":{"choice":"code","confidence":0.95,"probabilities":{"code":0.96,"general":0.0,"multilingual":0.0,"stem":0.04},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":647,"output_tokens":47}} | 647 | 47 | 0.000027 | 623 | 2026-09-20T22:05:19.407067+00:00 | ||
566234e3601de19d84a32f005afdfca6 | 4703e5b49d990c247eb8f853 | 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 name of the tool used to take JSX and turn it into createElement calls?","role":"user"}]} | {"conversation":[{"content":"What is the name of the tool used to take JSX and turn it into createElement calls?","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 | 1196 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 130 | 485 | {} | 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":403,"output_tokens":47}} | 403 | 47 | 0.000017 | 693 | 2026-09-20T22:05:19.591296+00:00 | ||
7cb60d8f2264a0f465726fc1d9a74231 | 3e21397548a9f9c99e5b9ca7 | 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":"Bitte fass zusammen, welche Funktion der \"SRN\"-Pin des BQ76930 IC von Texas Instruments hat.","role":"user"},{"content":"The \"SRN\" pin of the BQ76930 IC from Texas Instruments is a critical pin for the device's functionality. It stands for \"System Reference Node\" and serves as the gro... | {"conversation":[{"content":"Bitte fass zusammen, welche Funktion der \"SRN\"-Pin des BQ76930 IC von Texas Instruments hat.","role":"user"},{"content":"The \"SRN\" pin of the BQ76930 IC from Texas Instruments is a critical pin for the device's functionality. It stands for \"System Reference Node\" and serves as the gro... | {"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 | 1197 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 3,630 | 3,985 | {} | 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":1241,"output_tokens":47}} | 1,241 | 47 | 0.000052 | 637 | 2026-09-20T22:05:19.657170+00:00 | ||
64e5670283d524e75b7dfe755088ef5d | 0bd55fd0feec4b0a3497cbb3 | 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":"steelseries rival 310 explain","role":"user"}]} | {"conversation":[{"content":"steelseries rival 310 explain","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 | 1198 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 76 | 431 | {} | jev-1.13.0 | choice | general | 0.38 | {"code":0.0,"general":0.54,"multilingual":0.0,"stem":0.46} | {"choice":"general","confidence":0.38,"probabilities":{"code":0.0,"general":0.54,"multilingual":0.0,"stem":0.46},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.38,"probabilities":{"code":0.0,"general":0.54,"multilingual":0.0,"stem":0.46},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":391,"output_tokens":47}} | 391 | 47 | 0.000016 | 718 | 2026-09-20T22:05:19.862865+00:00 | ||
cf58f467241d41de999350f80619d907 | 3aa369c7537085c5843bbf75 | 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 terminology best describes the British North American colonies in the early 1860's?\nhomogeneous\ndistinct\nunited\ncollaborative","role":"user"}]} | {"conversation":[{"content":"What terminology best describes the British North American colonies in the early 1860's?\nhomogeneous\ndistinct\nunited\ncollaborative","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 | 1199 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 181 | 536 | {} | 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":413,"output_tokens":47}} | 413 | 47 | 0.000017 | 625 | 2026-09-20T22:05:19.882913+00:00 | ||
4bfe09b729aed981320e7d37735c7d9a | a2ebf07721701dbc3bd6b425 | 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 Mass Communication ","role":"user"}]} | {"conversation":[{"content":"What is Mass Communication ","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 | 1200 | 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 | 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":387,"output_tokens":47}} | 387 | 47 | 0.000016 | 729 | 2026-09-20T22:05:20.112659+00:00 | ||
85004c7e34c46383282eeb906dd924f2 | a72b3caf24345737109bc374 | 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 my game, aliens have taken over the world in all countries and established a puppet government loyal to the alien empire of Chezon.\nDescribe how the flight and social conditions and daily life in the following countries can change:\n1. USA\n2. PRC\n3. Russia","role":"user"}]} | {"conversation":[{"content":"In my game, aliens have taken over the world in all countries and established a puppet government loyal to the alien empire of Chezon.\nDescribe how the flight and social conditions and daily life in the following countries can change:\n1. USA\n2. PRC\n3. Russia","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 | 1201 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 309 | 664 | {} | 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":438,"output_tokens":47}} | 438 | 47 | 0.000018 | 692 | 2026-09-20T22:05:20.192789+00:00 | ||
f99599f1bbe48b08d145689d6cfdb8eb | c2dcc5622a9223c72152f458 | 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":"Hello can you write an alternate plot for Total Drama World Tour where Beth is a contestant, and possibly Sierra, who has a huge crush on Cody sees Beth, like Gwen a threat since Beth kissed Cody in first season how does this affect their interactions, and does Cody see Beth in a different ... | {"conversation":[{"content":"Hello can you write an alternate plot for Total Drama World Tour where Beth is a contestant, and possibly Sierra, who has a huge crush on Cody sees Beth, like Gwen a threat since Beth kissed Cody in first season how does this affect their interactions, and does Cody see Beth in a different ... | {"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 | 1202 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 3,172 | 3,527 | {} | 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":1027,"output_tokens":47}} | 1,027 | 47 | 0.000043 | 651 | 2026-09-20T22:05:20.268953+00:00 | ||
e14b92784301be23a9f026589978af1e | 37af15bce745ff24eeb9fb8e | 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":"Is there a financial name for a debt obligation that has no interest, not even a zero-coupon bond? For example, lets say someone held a document that was redeemable for 100$ but they purchased or deposited the same amount as collateral. ","role":"user"},{"content":"The financial term that b... | {"conversation":[{"content":"Is there a financial name for a debt obligation that has no interest, not even a zero-coupon bond? For example, lets say someone held a document that was redeemable for 100$ but they purchased or deposited the same amount as collateral. ","role":"user"},{"content":"The financial term that b... | {"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 | 1203 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 1,505 | 1,860 | {} | jev-1.13.0 | choice | general | 0.9 | {"code":0.0,"general":0.93,"multilingual":0.0,"stem":0.07} | {"choice":"general","confidence":0.9,"probabilities":{"code":0.0,"general":0.93,"multilingual":0.0,"stem":0.07},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.9,"probabilities":{"code":0.0,"general":0.93,"multilingual":0.0,"stem":0.07},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":707,"output_tokens":47}} | 707 | 47 | 0.00003 | 672 | 2026-09-20T22:05:20.409795+00:00 | ||
e18bb0452e9ceed6da7768fc954ab671 | d2d942a738ac59cc4cb34517 | 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":"Hola dime que implicaciones para los derechos humanos de las personas puede tener un mal uso de la inteligencia artificial","role":"user"}]} | {"conversation":[{"content":"Hola dime que implicaciones para los derechos humanos de las personas puede tener un mal uso de la inteligencia artificial","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 | 1205 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 169 | 524 | {} | jev-1.13.0 | choice | general | 0.48 | {"code":0.0,"general":0.61,"multilingual":0.27,"stem":0.12} | {"choice":"general","confidence":0.48,"probabilities":{"code":0.0,"general":0.61,"multilingual":0.27,"stem":0.12},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.48,"probabilities":{"code":0.0,"general":0.61,"multilingual":0.27,"stem":0.12},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":405,"output_tokens":47}} | 405 | 47 | 0.000017 | 709 | 2026-09-20T22:05:20.635160+00:00 | ||
35cabb7ed9dd3219791e9559b7b0be85 | 90c18cf4dd7bab6b6778589d | 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":"Bonjour,\nest ce que ca vaut le coup d'inviter mon proff de piano, Jacques a donner un concert a Stuttgart?","role":"user"}]} | {"conversation":[{"content":"Bonjour,\nest ce que ca vaut le coup d'inviter mon proff de piano, Jacques a donner un concert a Stuttgart?","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 | 1206 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 154 | 509 | {} | jev-1.13.0 | choice | general | 0.71 | {"code":0.0,"general":0.79,"multilingual":0.21,"stem":0.0} | {"choice":"general","confidence":0.71,"probabilities":{"code":0.0,"general":0.79,"multilingual":0.21,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.71,"probabilities":{"code":0.0,"general":0.79,"multilingual":0.21,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":409,"output_tokens":47}} | 409 | 47 | 0.000017 | 748 | 2026-09-20T22:05:20.789683+00:00 | ||
f674b3de86d9730e48c2ee42389bf907 | 7e05cf4bc4c4c38d05b05668 | 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":"describe the ideal poster for an event: “I invite you to a meeting\n\"Aesthetics of thinking: tea meditation, philosophy and creativity.\" For whom? ~ for researchers of human nature and life ~ for those who are not afraid to think and are ready for dialogue ~ for those who are ready to see... | {"conversation":[{"content":"describe the ideal poster for an event: “I invite you to a meeting\n\"Aesthetics of thinking: tea meditation, philosophy and creativity.\" For whom? ~ for researchers of human nature and life ~ for those who are not afraid to think and are ready for dialogue ~ for those who are ready to see... | {"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 | 1208 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 5,697 | 6,052 | {} | 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":1583,"output_tokens":47}} | 1,583 | 47 | 0.000066 | 620 | 2026-09-20T22:05:20.781017+00:00 | ||
9d15cb0398941150983d2fe93cfa18b0 | 34c46aebe31caeddaf46b83c | 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":"Fresh air handling with 100 % fresh air capacity of 4071 L/S total airflow , Ambient temperature is 45 degree Celsius , what will be the total cooling load of FAHU to lower the air temperature from 45 degree Celsius to 30 degree Celsius ","role":"user"},{"content":"To calculate the total... | {"conversation":[{"content":"Fresh air handling with 100 % fresh air capacity of 4071 L/S total airflow , Ambient temperature is 45 degree Celsius , what will be the total cooling load of FAHU to lower the air temperature from 45 degree Celsius to 30 degree Celsius ","role":"user"},{"content":"To calculate the total... | {"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 | 1209 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 8,105 | 8,460 | {} | 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":2982,"output_tokens":47}} | 2,982 | 47 | 0.000125 | 624 | 2026-09-20T22:05:20.908111+00:00 | ||
3bfde960345521ce801acc07b5ee6657 | 2ccd7fdf4bd3c5d495d7584f | 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 7 random numbers from 1 to 49.","role":"user"},{"content":"Sure, here are seven random numbers between 1 and 49:\n\n23, 14, 36, 47, 18, 7, 43\n\nThese numbers were generated using a random number generator, so they are truly random and not chosen by a human.","role":"assistant"},{"c... | {"conversation":[{"content":"Give me 7 random numbers from 1 to 49.","role":"user"},{"content":"Sure, here are seven random numbers between 1 and 49:\n\n23, 14, 36, 47, 18, 7, 43\n\nThese numbers were generated using a random number generator, so they are truly random and not chosen by a human.","role":"assistant"},{"c... | {"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 | 1210 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 391 | 746 | {} | jev-1.13.0 | choice | general | 0.98 | {"code":0.0,"general":0.98,"multilingual":0.0,"stem":0.02} | {"choice":"general","confidence":0.98,"probabilities":{"code":0.0,"general":0.98,"multilingual":0.0,"stem":0.02},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.98,"probabilities":{"code":0.0,"general":0.98,"multilingual":0.0,"stem":0.02},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":509,"output_tokens":47}} | 509 | 47 | 0.000021 | 753 | 2026-09-20T22:05:21.158491+00:00 | ||
ab478c3f4f1aa480189160a9f60df4d6 | c37eeb62dc5118e77f014c2d | 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":"初期視覚野に関して適切な説明をしているものを選びなさい\n\n初期視覚野の細胞には特定の顔画像に対して反応するような細胞が存在する．\n初期視覚野の細胞が入力を受け取る視野上の領域（受容野）は広い．\n初期視覚野の細胞は，特定方位のエッジや線分に対して反応する細胞が存在する．\n初期視覚野の細胞は，入力の画像の回転や位置ずれ拡大縮小操作に対しても応答が変わらない．","role":"user"},{"content":"初期視覚野の細胞は，特定方位のエッジや線分に対して反応する細胞が存在する。これは、初期視覚野が視覚刺激の基本的な特徴を検出する役割を担っているためである。",... | {"conversation":[{"content":"初期視覚野に関して適切な説明をしているものを選びなさい\n\n初期視覚野の細胞には特定の顔画像に対して反応するような細胞が存在する．\n初期視覚野の細胞が入力を受け取る視野上の領域（受容野）は広い．\n初期視覚野の細胞は，特定方位のエッジや線分に対して反応する細胞が存在する．\n初期視覚野の細胞は，入力の画像の回転や位置ずれ拡大縮小操作に対しても応答が変わらない．","role":"user"},{"content":"初期視覚野の細胞は，特定方位のエッジや線分に対して反応する細胞が存在する。これは、初期視覚野が視覚刺激の基本的な特徴を検出する役割を担っているためである。",... | {"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 | 1211 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 1,336 | 1,691 | {} | 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":1602,"output_tokens":47}} | 1,602 | 47 | 0.000067 | 677 | 2026-09-20T22:05:21.201952+00:00 | ||
bdfa5cb1ab7c6b909056b4076a2fbd68 | 53ddd2a0ab5c105330a26686 | 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":"你能充当一个翻译助手吗？ 我说一个汉语 然后你说出对应的英语 日语 汉语 和 德语相关的单词","role":"user"},{"content":"当然，我可以尝试帮您完成这个翻译任务。您说出一个汉语单词，我就会相应地给出英语、日语、汉语和德语的翻译。\n\n例如，如果您说出「树」，我会回答：\n\n- English: tree\n- 日语: 木 (ki)\n- 汉语: 树\n- 德语: Baum\n\n现在，您可以开始说出您想查询的单词了。","role":"assistant"},{"content":"你好","role":"user"},{"content":"-... | {"conversation":[{"content":"你能充当一个翻译助手吗？ 我说一个汉语 然后你说出对应的英语 日语 汉语 和 德语相关的单词","role":"user"},{"content":"当然，我可以尝试帮您完成这个翻译任务。您说出一个汉语单词，我就会相应地给出英语、日语、汉语和德语的翻译。\n\n例如，如果您说出「树」，我会回答：\n\n- English: tree\n- 日语: 木 (ki)\n- 汉语: 树\n- 德语: Baum\n\n现在，您可以开始说出您想查询的单词了。","role":"assistant"},{"content":"你好","role":"user"},{"content":"-... | {"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 | 1212 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 2,326 | 2,681 | {} | jev-1.13.0 | choice | multilingual | 1 | {"code":0.0,"general":0.0,"multilingual":1.0,"stem":0.0} | {"choice":"multilingual","confidence":1.0,"probabilities":{"code":0.0,"general":0.0,"multilingual":1.0,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"multilingual","confidence":1.0,"probabilities":{"code":0.0,"general":0.0,"multilingual":1.0,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":1935,"output_tokens":49}} | 1,935 | 49 | 0.000081 | 637 | 2026-09-20T22:05:21.282438+00:00 | ||
c0cb623b1635aa690f3484f556950a52 | 9338ee4070114db38e23d41f | 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 research paper based on this research proposal using the sources used in the proposal as well \"Linguicism and Its Impact on Linguistic Minority Defendants in the Criminal Justice System\nPurpose\nThe tapestry of linguistic diversity across the globe is a cultural marvel that enrich... | {"conversation":[{"content":"Write a research paper based on this research proposal using the sources used in the proposal as well \"Linguicism and Its Impact on Linguistic Minority Defendants in the Criminal Justice System\nPurpose\nThe tapestry of linguistic diversity across the globe is a cultural marvel that enrich... | {"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 | 1213 | cc-by-4.0 | https://huggingface.co/datasets/nvidia/HelpSteer3 | helpsteer3_domain_to_choice | 0.1.0 | true | false | false | 8,193 | 8,548 | {} | jev-1.13.0 | choice | general | 0.88 | {"code":0.0,"general":0.92,"multilingual":0.08,"stem":0.0} | {"choice":"general","confidence":0.88,"probabilities":{"code":0.0,"general":0.92,"multilingual":0.08,"stem":0.0},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.88,"probabilities":{"code":0.0,"general":0.92,"multilingual":0.08,"stem":0.0},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":1790,"output_tokens":47}} | 1,790 | 47 | 0.000075 | 687 | 2026-09-20T22:05:21.452300+00:00 | ||
e3b342a4358edc808a817f939b8377fb | 981768d5894fdca679b00b67 | 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":"O que é a psicologia de massas","role":"user"}]} | {"conversation":[{"content":"O que é a psicologia de massas","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 | 1215 | 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 | general | 0.5 | {"code":0.0,"general":0.62,"multilingual":0.15,"stem":0.23} | {"choice":"general","confidence":0.5,"probabilities":{"code":0.0,"general":0.62,"multilingual":0.15,"stem":0.23},"type":"choice"} | {"answers":{"domain":{"choice":"general","confidence":0.5,"probabilities":{"code":0.0,"general":0.62,"multilingual":0.15,"stem":0.23},"type":"choice"}},"model":"jev-1.13.0","usage":{"input_tokens":391,"output_tokens":47}} | 391 | 47 | 0.000016 | 800 | 2026-09-20T22:05:21.684334+00:00 |
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