text stringlengths 323 957k | uuid stringlengths 9 127 | reasoning_effort stringclasses 3
values | source stringclasses 13
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|---|---|---|---|---|
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2026-02-01
Reasoning effort: low<|im_end|>
<|im_start|>user
Solve the following math problem. Make sure to put the answer (and only answer) inside \boxed{}.
How many ways can 15 people be ... | nemotron_post_v3_math_reasoning_low_9348ba3e-d70f-43f1-8f02-692aa75e886c | low | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2029-03-20
Reasoning effort: medium<|im_end|>
<|im_start|>user
As a beginner in Python, I require guidance on the preferred sequence for importing the pandas, numpy, and gspread libraries. ... | synthetic_jp_en_coding_reasoning_medium_synthetic_jp_en_coding-275103 | medium | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "check_equipment_availability", "description": "Check availability of agricultural equipment considering user tier limits, maintenance schedules, and existing reservations. Returns availability sta... | a37850a7-2cfa-756c-b74f-6def89a489d1 | medium | https://huggingface.co/datasets/nvidia/Nemotron-SFT-Agentic-v2 | cc-by-4.0 |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2023-07-22
Reasoning effort: low<|im_end|>
<|im_start|>user
ãã®æç« ãããã倧é人17ãã®æŸéæéïŒéå§æ¥ãšçµäºæ¥ïŒãæŸéæé垯ãå
šè©±æ°ãããã³åäœè
ã®ååãæœåºããŠãã ããã
ã倧é人17ãïŒã ããŠã€ããã¯ã³ã»ãã³ïŒã¯ã1977幎3æ18æ¥ããå幎11æ11æ¥ãŸã§ãTBSç³»ã§æ¯é±éæ19æãã19æ30åïŒJST... | llmjp_extraction_wiki_ja_v0.2_reasoning_low_extraction_wiki202501300506_04-3202 | low | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2027-06-20
Reasoning effort: medium<|im_end|>
<|im_start|>user
ããããæç€ºããè±èªã®æç« ãæ¥æ¬èªã«ç¿»èš³ããŠãã ãããå¿
ãæ¥æ¬èªã®èš³æã®ã¿ãåºåãããã以å€ã«ã¯äœãå«ããªãããšãå³å®ããŠãã ããã
### å
¥å:
Sukekuni and his followers are enshrined at Komoda... | jaster_v1.4.1_reasoning_medium_wikicorpus-e-to-j-22513 | medium | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "verify_identity", "description": "Verify user identity using verification code sent via primary contact method. Mandatory before sensitive actions. Returns authentication status and MFA state.", "... | 40149114-345f-5df3-a130-a7310ef03371 | medium | https://huggingface.co/datasets/nvidia/Nemotron-SFT-Agentic-v2 | cc-by-4.0 |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "arc_python_executor", "description": "Executes Python code to transform grids. Code is tested on all training examples, then applied to test input. Use this for algorithmic solutions involving rot... | 4d284bf1-6e72-48d4-a0f7-1ce7d7104176 | high | https://huggingface.co/datasets/nvidia/Nemotron-SFT-ARC-AGI-v1 | cc-by-4.0 |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2029-07-18
Reasoning effort: low<|im_end|>
<|im_start|>user
Detailed Instructions: Read the passage and find the corresponding pronoun for the given name. The word between ** ** is the targ... | flan_reasoning_low_flan-NIv2-task892_gap_reverse_coreference_resolution-zs_opt-1 | low | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2025-03-02
Reasoning effort: medium<|im_end|>
<|im_start|>user
Pythonã䜿çšããŠã2ã€ã®ç°ãªãèŸæžãªããžã§ã¯ããæ¯èŒããããã®é¢æ°ãäœæããæ¹æ³ã«ã€ããŠèª¬æããŠãã ããããã®å Žåãç°ãªãé åºã®èŠçŽ ããã¹ããããèŸæžãé
åãæ¯èŒããå¿
èŠããããŸããå
·äœçã«ã¯ãååž°çã«èŸæžã®å
容ãèŸæžã«å€æããŠããJSONæåå... | synthetic_jp_en_coding_reasoning_medium_synthetic_jp_en_coding-169338 | medium | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "retrieve_registered_contact", "description": "Retrieves customer's registered contact information using customer_id or hull_id. Required for authentication workflow.", "parameters": {"properties":... | 12f5c266-ee59-21ce-41ba-4e5038b87120 | medium | https://huggingface.co/datasets/nvidia/Nemotron-SFT-Agentic-v2 | cc-by-4.0 |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "bash", "description": "runs the given command directly in bash", "parameters": {"type": "object", "properties": {"command": {"type": "string", "description": "The bash command to execute."}}, "req... | c41b3df1-fb73-4aa0-bf91-58fbf6a04ec9 | medium | https://huggingface.co/datasets/nvidia/Open-SWE-Traces | MIT |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "get_account_details", "description": "Retrieve customer account details including tier status and credit terms.", "parameters": {"properties": {"account_id": {"description": "Unique account identi... | 3a95ee80-83e2-a91f-528d-d44575df6a88 | medium | https://huggingface.co/datasets/nvidia/Nemotron-SFT-Agentic-v2 | cc-by-4.0 |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2028-07-25
Reasoning effort: low<|im_end|>
<|im_start|>user
ããªãã«ã¯ãç°ãªãè²ã®ããŒã«ãå
šéšã§10åãããŸãããã®ãã¡ã®5ã€ã¯èµ€ã§ãæ®ãã®5ã€ã¯éã§ãããããã®ããŒã«ã䞊ã¹ãéãèµ€ãããŒã«å士ãé£ãåããªãããã«ããããšèããŠããŸãããã®ãããªäžŠã¹æ¹ã¯äœéãããã§ããããïŒ<|im_end|>
<|im_start... | logical_math_coding_wizard8x22b_reasoning_low_logical_math_coding_wizard8x22b-35114 | low | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2026-09-25
Reasoning effort: high<|im_end|>
<|im_start|>user
ãã®æç« ãããååœãŸãã¯å°åå¥ã«ãã®å¹Žã®å¹Žå·ãæœåºããŠãã ãããå
·äœçã«ã¯ããäžåœãã®é
ç®ããåçæãåœããšã®å¹Žå·ïŒäŸïŒåš - æ¬ç35幎ïŒãæœåºããŠãã ããã
çŽå
å485幎ïŒããããã485ããïŒã¯ãããŒãæŠã®å¹Žã§ããã
åœæã¯ããã³ã«ããªãŠã¹ãšãŠ... | llmjp_extraction_wiki_ja_v0.3_reasoning_high_extraction_wiki202501300506_03-78 | high | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2026-12-03
Reasoning effort: low<|im_end|>
<|im_start|>user
Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alter... | flan_reasoning_low_flan-NIv2-task592_sciq_incorrect_answer_generation-fs_opt-5 | low | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2026-11-24
Reasoning effort: medium<|im_end|>
<|im_start|>user
Detailed Instructions: You are given a movie review in the French language. You need to predict its sentiment. Output a 0 for ... | flan_reasoning_medium_flan-NIv2-task1591_allocine_classification-zs_opt-6 | medium | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
You are a helpful and harmless assistant.
You are not allowed to use any tools.
Reasoning effort: medium<|im_end|>
<|im_start|>user
Analyze the playwright's use of mathematical concepts in their latest play, specifically focusing on how they integrate 'fractals', 'infinity', and 'paradox'. Addition... | 19d90384-4d74-4187-9be5-2fb03ad4c229 | medium | https://huggingface.co/datasets/nvidia/Nemotron-SFT-Instruction-Following-Chat-v3 | cc-by-4.0 AND odc-by |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2028-07-02
Reasoning effort: medium<|im_end|>
<|im_start|>user
ç¬å·äº®ã®ãããã£ãŒã«æç« ããã圌ã®åºèº«å°ãæå±äºåæã劻ã®ååãããã³é«æ ¡æä»£ã«åãçµãã ã¹ããŒããæœåºããŠãã ãããYAML圢åŒã§è¿ããŠãã ããã
ç¬å· 亮ïŒããã ãããã1978幎10æ19æ¥ -ïŒã¯ãæ¥æ¬ã®ä¿³åªãç¥å¥å·ç暪æµåžåºèº«ãã¯ãªãªãæ... | llmjp_extraction_wiki_ja_v0.3_reasoning_medium_extraction_wiki202501300506_01-8278 | medium | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "bash", "description": "runs the given command directly in bash", "parameters": {"type": "object", "properties": {"command": {"type": "string", "description": "The bash command to execute."}}, "req... | 1028f946-8777-4b48-b777-b7e0e2251659 | medium | https://huggingface.co/datasets/nvidia/Open-SWE-Traces | Apache-2.0 |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "authenticate_user", "description": "Authenticates donors, volunteers, or beneficiaries based on provided credentials. Must be completed before accessing protected actions.", "parameters": {"type":... | 44c1a451-a29a-0db2-eea8-1c473842bb10 | medium | https://huggingface.co/datasets/nvidia/Nemotron-SFT-Agentic-v2 | cc-by-4.0 |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Reasoning effort: high<|im_end|>
<|im_start|>user
äžããããåé¡ãš4ã€ã®åè£è§£æ±ºçã系統çã«åæããæé©ãªã¢ãããŒããç¹å®ãã課é¡ã§ãã
åé¡: è¡å $$[A]=\begin{pmatrix}
1 &0 &0 \\
x_1 &2 &0 \\
x_2 &x_3 &1
\end{pmatrix}$$ ïŒ$x_1, x_2, x_3 \in \mathbf{C}$ïŒã®äžè¬ååºæç©ºéãšãžã§ã«ãã³æšæºåœ¢ãæ±ãããæ¢ç¥ã®åº... | 78ea0a8d-951e-58ba-877f-c61bb1f53c57 | high | https://huggingface.co/datasets/nvidia/Nemotron-SFT-Multilingual-v2 | cc-by-sa-4.0 |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2029-06-01
Reasoning effort: high<|im_end|>
<|im_start|>user
åæãšä»®èª¬ã®é¢ä¿ãentailmentãcontradictionãneutralã®äžããåçããŠãã ããããã以å€ã«ã¯äœãå«ããªãããšãå³å®ããŠãã ããã
å¶çŽïŒ
- åæãã仮説ããæéé¢ä¿äžå°åºå¯èœã§ããå Žåã¯entailmentãšåºå
- åæãš... | jaster_v1.4.1_reasoning_high_jamp-6891 | high | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Reasoning effort: medium<|im_end|>
<|im_start|>user
Answer the following multiple choice question. The last line of your response should be in the following format: 'Answer: A/B/C/D/E/F/G/H/I/J' (e.g. 'Answer: A').
Can a Lagrangian density... | 96d7df09015e4795afd61549e03eb4fb | medium | https://huggingface.co/datasets/nvidia/Nemotron-SFT-Science-v2 | CC BY-SA 4.0 |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Reasoning effort: medium<|im_end|>
<|im_start|>user
Answer the following multiple choice question. The last line of your response should be in the following format: 'Answer: A/B/C/D/E/F/G/H/I/J' (e.g. 'Answer: A').
What is the density of a... | f6cc8c46ebb540b29f7c66fe57e05379 | medium | https://huggingface.co/datasets/nvidia/Nemotron-SFT-Science-v2 | CC BY-SA 4.0 |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "authenticate_client", "description": "Verify client identity using tiered authentication methods. For sensitive actions, full SSN and security answers are required.", "parameters": {"properties": ... | dc759d17-23e2-4a59-4a11-89fcd385a547 | medium | https://huggingface.co/datasets/nvidia/Nemotron-SFT-Agentic-v2 | cc-by-4.0 |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2030-11-30
Reasoning effort: high<|im_end|>
<|im_start|>user
è±èªåŠç¿è
ã®ããã«ãè±èªã®èªå·±ç޹仿ãäœæããããšæããŸãããã©ã®ããã«æžãã°è¯ããæããŠããã ããŸããïŒ<|im_end|>
<|im_start|>assistant
## è±èªã§èªå·±ç޹ä»ãæžããšãã®åºæ¬ã¹ããã
以äžã®æµãã«æ²¿ã£ãŠæç« ãçµã¿ç«ãŠ... | llmjp_magpie_sft_v1.0_reasoning_high_calm3_22b_chat_20241022133932--76729--Qwen2.5_32B_Instruct_20241024100350_2183224 | high | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2025-04-15
Reasoning effort: high<|im_end|>
<|im_start|>user
In the realm of Java programming, how can we skillfully leverage exception handling to manage and recuperate from unanticipated ... | synthetic_jp_en_coding_reasoning_high_synthetic_jp_en_coding-242985 | high | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2026-12-24
Reasoning effort: high<|im_end|>
<|im_start|>user
åæãšä»®èª¬ã®é¢ä¿ãentailmentãcontradictionãneutralã®äžããåçããŠãã ããããã以å€ã«ã¯äœãå«ããªãããšãå³å®ããŠãã ããã
å¶çŽïŒ
- åæãã仮説ããè«ççç¥èãåžžèçç¥èãçšããŠå°åºå¯èœã§ããå Žåã¯entailmen... | jaster_v1.4.1_reasoning_high_jnli-11389 | high | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2027-05-14
Reasoning effort: medium<|im_end|>
<|im_start|>user
ããããæç€ºããæ¥æ¬èªã®æç« ãè±èªã«ç¿»èš³ããŠãã ãããå¿
ãè±èªã®èš³æã®ã¿ãåºåãããã以å€ã«ã¯äœãå«ããªãããšãå³å®ããŠãã ããã
### å
¥å:
æšæ¥æ©ãã«ãäžé¢å
±åå
ãªãŒããŒã§ãããããã»ãã³ãŒãã«ã¯äžé¢ã«å»¶é·æ¡ã®ééãåããããŠããããã€ãã®ä»... | jaster_v1.4.1_reasoning_medium_alt-j-to-e-9350 | medium | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "authenticate_user", "description": "Authenticate users via license plate + phone number or account ID + PIN. Required for all account-related actions.", "parameters": {"properties": {"auth_method"... | 93d66440-12c1-03e9-7b1b-031e87496e1e | medium | https://huggingface.co/datasets/nvidia/Nemotron-SFT-Agentic-v2 | cc-by-4.0 |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "arc_python_executor", "description": "Executes Python code to transform grids. Code is tested on all training examples, then applied to test input. Use this for algorithmic solutions involving rot... | 59a80404-005e-4d47-a9dd-a65579d80701 | high | https://huggingface.co/datasets/nvidia/Nemotron-SFT-ARC-AGI-v1 | cc-by-4.0 |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "bash", "description": "runs the given command directly in bash", "parameters": {"type": "object", "properties": {"command": {"type": "string", "description": "The bash command to execute."}}, "req... | 6e984af5-dd85-4563-aa5a-2f4516d64c57 | medium | https://huggingface.co/datasets/nvidia/Open-SWE-Traces | MIT |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2028-06-23
Reasoning effort: high<|im_end|>
<|im_start|>user
ããããæç€ºããè±èªã®æç« ãæ¥æ¬èªã«ç¿»èš³ããŠãã ãããå¿
ãæ¥æ¬èªã®èš³æã®ã¿ãåºåãããã以å€ã«ã¯äœãå«ããªãããšãå³å®ããŠãã ããã
### å
¥å:
In sworn testimony, the corporal said he thought the... | jaster_v1.4.1_reasoning_high_alt-e-to-j-17549 | high | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Reasoning effort: medium<|im_end|>
<|im_start|>user
Answer the following multiple choice question. The last line of your response should be in the following format: 'Answer: A/B/C/D' (e.g. 'Answer: A').
Can silicon dioxide (SiO2) melt at t... | af2adf3ff7934f20bb960be819f4574d | medium | https://huggingface.co/datasets/nvidia/Nemotron-SFT-Science-v2 | CC BY-SA 4.0 |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "reserve_meeting_room", "description": "Reserve meeting room after validating availability and subscription limits", "parameters": {"type": "object", "properties": {"user_id": {"type": "string", "d... | 5a2ca6c8-a0dd-3d3c-3b45-dd3f21de2b1c | medium | https://huggingface.co/datasets/nvidia/Nemotron-SFT-Agentic-v2 | cc-by-4.0 |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2024-06-16
Reasoning effort: high<|im_end|>
<|im_start|>user
Consider an instance in Ruby where the objective is to author a script that systematically screens out certain terms that includ... | synthetic_jp_en_coding_reasoning_high_synthetic_jp_en_coding-186099 | high | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2025-01-16
Reasoning effort: low<|im_end|>
<|im_start|>user
ç¥èŸ²åé§
ã«é¢ããæç« ãããé§
ã®éæ¥å¹Žææ¥ãš2019幎床ã®1æ¥å¹³åä¹è»äººå¡ã®æ
å ±ãæœåºããŠãã ãããCSV圢åŒã§è¿ããŠãã ããã
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ãšãªã£ãŠã... | llmjp_extraction_wiki_ja_v0.1_reasoning_low_extraction_wiki_weMHBSHCxw_20250127--PjrDR38wiU_20250127-4489 | low | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2029-12-30
Reasoning effort: medium<|im_end|>
<|im_start|>user
ããããæç€ºããè±èªã®æç« ãæ¥æ¬èªã«ç¿»èš³ããŠãã ãããå¿
ãæ¥æ¬èªã®èš³æã®ã¿ãåºåãããã以å€ã«ã¯äœãå«ããªãããšãå³å®ããŠãã ããã
### å
¥å:
Georgia has requested $2 billion in international ... | jaster_v1.4.1_reasoning_medium_alt-e-to-j-2160 | medium | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2029-04-20
Reasoning effort: medium<|im_end|>
<|im_start|>user
æ¥æ¬èªã®ææ³ã«ã€ããŠè³ªåããããŸããæ¥æ¬èªã®ææ³ã§ã¯ãåè©ã®åœ¢ã¯ããã®åäœãç¶æ
ã衚çŸããããã«å©è©ãå©åè©ãšçµã¿åããã£ãŠäœ¿ãããŸããäŸãã°ããé£ã¹ãããšããåè©ã¯ãé£ã¹ãŸããããé£ã¹ãŠãããããé£ã¹ãããªã©ã®åœ¢ã«å€åããŸãããŸããæ¬èªãäžå¯§èªã䜿ã... | llmjp_magpie_sft_v1.0_reasoning_medium_calm3_22b_chat_20241018083433-15874--Qwen2.5_32B_Instruct_20241022115410_385073 | medium | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "verify_identity", "description": "Authenticate student/parent identity using student ID or parent email. For guests, use registration confirmation code.", "parameters": {"properties": {"method": {... | 57b74534-999d-a41b-4cfd-f66346abf08c | medium | https://huggingface.co/datasets/nvidia/Nemotron-SFT-Agentic-v2 | cc-by-4.0 |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2029-03-15
Reasoning effort: low<|im_end|>
<|im_start|>user
æ¥æ¬èªã®æãã¢ã®æå³ãã©ã®ãããè¿ãããå€å®ããé¡äŒŒåºŠã0.0ã5.0ãŸã§ã®éã®å€ã§ä»äžããŠãã ããã0.0ã«è¿ãã»ã©æãã¢ã®æå³ãç°ãªãã5.0ã«è¿ãã»ã©æãã¢ã®æå³ã䌌ãŠããããšã衚ããŠããŸããæŽæ°å€ã®ã¿ãè¿ãããã以å€ã«ã¯äœãå«ããªãããšãå³å®ããŠãã ... | jaster_v1.4.1_reasoning_low_jsts-10754 | low | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "browser.search", "description": "Search the web for information", "parameters": {"type": "object", "properties": {"query": {"type": "string"}, "topn": {"type": "integer"}, "source": {"type": "stri... | seed_51_1963 | high | https://huggingface.co/datasets/OpenResearcher/OpenResearcher-Dataset | mit |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "browser.search", "description": "Search the web for information", "parameters": {"type": "object", "properties": {"query": {"type": "string"}, "topn": {"type": "integer"}, "source": {"type": "stri... | seed_54_6591 | high | https://huggingface.co/datasets/OpenResearcher/OpenResearcher-Dataset | mit |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Reasoning effort: medium<|im_end|>
<|im_start|>user
éœåžèšç»ãå
¬è¡è¡çæ¿çã®ç«æ¡ã«ãããŠãéšé³èŠå¶ã®éèŠæ§ãè£ä»ãããšããã³ã¹ãå¿
èŠã§ããéšé³ã¬ãã«ãšå¿è¡ç®¡çŸæ£ãªã¹ã¯ã®é¢é£ãæ¯æããäž»èŠãªç ç©¶ïŒäŸïŒWHOã®å ±åæžã欧å·ã®å€§èŠæš¡ç ç©¶ïŒãæãããã®çµæãéçã«ã€ããŠæ¹å€çã«èå¯ããäžã§ãèŠçŽãæäŸããŠãã ããã<|im_end|>
<|im_start|>assistant
## éšé³ãšå¿è¡ç®¡çŸæ£ãªã¹ã¯ã«é¢ããäž»èŠãšããã³ã¹ ... | 661ae2c5-e553-4fd1-83e0-02eef238c5ef | medium | https://huggingface.co/datasets/nri-ai/nri-fin-reasoning | cc-by-4.0 |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2030-03-30
Reasoning effort: low<|im_end|>
<|im_start|>user
ãã¿ãé¥
é ã«é¢ããæç« ãããåºå³¶çã代衚ããåç£èåãšããŠã®ç¥å床ã瀺ãæ
å ±ãæœåºããŠãã ãããå
·äœçã«ã¯ãã¢ã³ã±ãŒã調æ»ããåç£ã©ã³ãã³ã°ã§ã®é äœãçµæã«æ³šç®ããŠãã ãããJSON圢åŒã§åºåããŠãã ããã
ãã¿ãé¥
é ïŒãã¿ããŸããã
ãïŒã¯ãé¥
é ã®äžçš®ãã... | llmjp_extraction_wiki_ja_v0.1_reasoning_low_extraction_wiki_qDIcvz4nH3_20250127--kRCP11EjUg_20250127-2565 | low | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2026-01-08
Reasoning effort: low<|im_end|>
<|im_start|>user
Which of the following is **not** a key component of effective risk management in an organization?
A: Identifying potential risks... | nemotron_post_v2_stem_reasoning_low_a32fcac8-1eab-4134-9a4a-85b11df8813f | low | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Reasoning effort: high<|im_end|>
<|im_start|>user
ããªãã¯èŠªåã§ç¡å®³ãªã¢ã·ã¹ã¿ã³ãã§ãã以äžã®æç€ºã«å¿çããåã«ã段éçã«èããå¿
èŠããããŸãã
C++ããã°ã©ãã³ã°èšèªã®ã¿ã䜿çšããŠãã ããã
æçµçãªè§£æ±ºçã®ã³ãŒããããã¯ã«ã¯ã以äžã®åœ¢åŒã§```cppã䜿çšããå¿
èŠããããŸãïŒ
```cpp
// ããã«ã³ãŒããèšè¿°
```
ãããµã¯æè¿ãã¢ããããšã®è³ãã«è² ããŸãããåé¡ã解決ããããã«ã圌ãã¯ã²ãŒã ãããŠããŸãïŒ... | 5f18798c-0766-5f3a-8c19-37d0be6c1869 | high | https://huggingface.co/datasets/nvidia/Nemotron-SFT-Multilingual-v2 | cc-by-4.0 |
<|im_start|>system
You are a helpful and harmless assistant.
You are not allowed to use any tools.
Reasoning effort: medium<|im_end|>
<|im_start|>user
Write a short poem in Persian about the journey of an artist exploring cultural identity through their work. The poem should end with the phrase "ÙÙØ± در تارÛÚ©Û" (light... | 4f4eec39-0fb6-478b-8d13-62ff7483ec51 | medium | https://huggingface.co/datasets/nvidia/Nemotron-SFT-Instruction-Following-Chat-v3 | cc-by-4.0 AND odc-by |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2026-10-23
Reasoning effort: medium<|im_end|>
<|im_start|>user
äžè¯æçãšæ¥æ¬æçã®ã©ã¡ããçŸå³ããã§ãã?<|im_end|>
<|im_start|>assistant
ã©ã¡ãããããçŸå³ããããã¯ãå人ã®å¥œã¿ããã®æã®ã·ãã¥ãšãŒã·ã§ã³ã«ãã£ãŠå€§ããå€ãããŸãã
以äžã«ãäžè¯æçãšæ¥æ¬æçããããã®ç¹åŸŽãé
... | multiturn_calm3_reasoning_medium_multiturn_calm3-33744 | medium | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Reasoning effort: medium<|im_end|>
<|im_start|>user
Answer the following multiple choice question. The last line of your response should be in the following format: 'Answer: A/B/C/D' (e.g. 'Answer: A').
Is power required to perform a task ... | 8fc869e56e1e44b3a4532f47f36982fe | medium | https://huggingface.co/datasets/nvidia/Nemotron-SFT-Science-v2 | CC BY-SA 4.0 |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Reasoning effort: medium<|im_end|>
<|im_start|>user
At the end of your response, provide the final answer by placing the selected letter within double parentheses: ((A)).
Does work hardening in Shape Memory Alloys (SMA) persist or return t... | e2e3177fb91844e38fb3f4c04820f63c | medium | https://huggingface.co/datasets/nvidia/Nemotron-SFT-Science-v2 | CC BY-SA 4.0 |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "bash", "description": "runs the given command directly in bash", "parameters": {"type": "object", "properties": {"command": {"type": "string", "description": "The bash command to execute."}}, "req... | 8b41c57b-b2bb-4de2-b308-f49b4cfcf310 | medium | https://huggingface.co/datasets/nvidia/Open-SWE-Traces | Apache-2.0 |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2026-09-19
Reasoning effort: low<|im_end|>
<|im_start|>user
Iâve been thinking about how systems shape our lives â some built on strict order, others on pure exchange, and some that just...... | nemotron_post_v3_chat_reasoning_low_1256f60f-8e60-42b7-8ea6-f39e8358b8d6 | low | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "bash", "description": "runs the given command directly in bash", "parameters": {"type": "object", "properties": {"command": {"type": "string", "description": "The bash command to execute."}}, "req... | ef475f86-95d9-4ed7-93e1-8c06321105f0 | medium | https://huggingface.co/datasets/nvidia/Open-SWE-Traces | Apache-2.0 |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2030-11-20
Reasoning effort: high<|im_end|>
<|im_start|>user
Detailed Instructions: Read the given summary of events, and write a longer story which covers everything described in the summa... | flan_reasoning_high_flan-NIv2-task853_hippocorpus_long_text_generation-zs_opt-16 | high | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2027-04-29
Reasoning effort: high<|im_end|>
<|im_start|>user
åæãšä»®èª¬ã®é¢ä¿ãentailmentãcontradictionãneutralã®äžããåçããŠãã ããããã以å€ã«ã¯äœãå«ããªãããšãå³å®ããŠãã ããã
å¶çŽïŒ
- åæãçã§ãããšã仮説ãå¿
ãçã«ãªãå Žåã¯entailmentãšåºå
- åæãçã§... | jaster_v1.4.1_reasoning_high_jsick-4323 | high | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "arc_python_executor", "description": "Executes Python code to transform grids. Code is tested on all training examples, then applied to test input. Use this for algorithmic solutions involving rot... | 747e106b-cca8-487c-a73d-6bce5140f176 | high | https://huggingface.co/datasets/nvidia/Nemotron-SFT-ARC-AGI-v1 | cc-by-4.0 |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Reasoning effort: medium<|im_end|>
<|im_start|>user
Answer the following multiple choice question. The last line of your response should be in the following format: 'Answer: A/B/C/D/E/F/G/H/I/J' (e.g. 'Answer: A').
For a gas obeying the eq... | f688434b3be54ddb98240a1271ee0506 | medium | https://huggingface.co/datasets/nvidia/Nemotron-SFT-Science-v2 | CC BY-SA 4.0 |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "execute_bash", "description": "Execute a bash command in the terminal within a persistent shell session.\n\n\n### Command Execution\n* One command at a time: You can only execute one bash command ... | 128d1148-c001-4d92-9473-56c97316f116 | medium | https://huggingface.co/datasets/nvidia/Open-SWE-Traces | Apache-2.0 |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2026-05-17
Reasoning effort: low<|im_end|>
<|im_start|>user
Could you delve into the topic of haunted castles and their associated ghostly legends, providing an in-depth analysis of a few o... | daring_anteater_reasoning_low_daring_anteater_en-89308 | low | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2021-11-26
Reasoning effort: medium<|im_end|>
<|im_start|>user
ããããšããŠé£Œãããã®ç¬ãæ¢ããŠããã®ã§ãããåããŠç¬ã飌ãã®ã§ã©ã®ããã«éžãã§ããã®ãããããŸãããäœãã¢ããã€ã¹ãããã ããŸããïŒ<|im_end|>
<|im_start|>assistant
## åããŠã®ç¬éžã³ââ倱æããªãããã®ãã€ã³ããšã¹... | llmjp_magpie_sft_v1.0_reasoning_medium_calm3_22b_chat_20241022133932--22574--Qwen2.5_32B_Instruct_20241024100350_626732 | medium | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "bash", "description": "runs the given command directly in bash", "parameters": {"type": "object", "properties": {"command": {"type": "string", "description": "The bash command to execute."}}, "req... | ab204d9e-a24a-4267-bb58-b37bdb9b793e | medium | https://huggingface.co/datasets/nvidia/Open-SWE-Traces | Apache-2.0 |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "send_verification_code", "description": "Sends authentication code to user's contact method for HarborMaster verification", "parameters": {"properties": {"contact_info": {"description": "User's em... | ab39cfc7-07fb-2af8-3859-c1feb0ec4a23 | medium | https://huggingface.co/datasets/nvidia/Nemotron-SFT-Agentic-v2 | cc-by-4.0 |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "arc_python_executor", "description": "Executes Python code to transform grids. Code is tested on all training examples, then applied to test input. Use this for algorithmic solutions involving rot... | 2fb5e7e4-2065-451f-87ab-fb5316a6f67e | high | https://huggingface.co/datasets/nvidia/Nemotron-SFT-ARC-AGI-v1 | cc-by-4.0 |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2030-08-02
Reasoning effort: medium<|im_end|>
<|im_start|>user
Solve the following math problem. Make sure to put the answer (and only answer) inside \boxed{}.
Find the derivative of the f... | nemotron_post_v3_math_reasoning_medium_041684de-ed69-4f4e-b4b1-2b92099d4d8d | medium | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Reasoning effort: medium<|im_end|>
<|im_start|>user
**ã·ããªãª**ïŒå°èŠæš¡éæŸçµæžBã¯ããã¯ãããžãŒè£œåã®èŒžå
¥é¢çšã0%ãã15%ãžåŒãäžãããé¢çšå°å
¥åŸå幎ã§ã茞å
¥åäŸ¡æ Œã¯å¹³å12%äžæããåœå
代æ¿ç£æ¥ã®éçšã¯5%å¢å ãããäžæ¹ãæ¿åºã¯é¢çšåå
¥ã®50%ãé«çæè²å¥šåŠéã«ãæ®ããç ç©¶éçº(R&D)è£å©éã«é
åããæ¹éã瀺ãããBåœã®æåŸååžã¯ãäžäœ10%ãç·æåŸã®40%ãå ããäžäœ50%ãç·æåŸã®20%ãå ããŠããã
... | 390c5420-b84f-4187-8250-fbb11201fefd | medium | https://huggingface.co/datasets/nri-ai/nri-fin-reasoning | cc-by-4.0 |
<|im_start|>system
You are a helpful and harmless assistant.
You are not allowed to use any tools.
Reasoning effort: medium<|im_end|>
<|im_start|>user
Provide a one-paragraph summary of the book "Crime and Punishment" by Fyodor Dostoevsky. The summary should be written entirely in Russian and must include the word "п... | 2697e29e-a958-4478-876e-1b6774d64418 | medium | https://huggingface.co/datasets/nvidia/Nemotron-SFT-Instruction-Following-Chat-v3 | cc-by-4.0 AND odc-by |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Reasoning effort: high<|im_end|>
<|im_start|>user
**åé¡:** ãµã³ã¿ã¯ããŒã¹ã¯åæãšè€çŽ è§£æã«é
äºãããŠããŸããæè¿ã圌ã®èªçæ¥ããããŸãããk人ã®åéã圌ãç¥ãã«æ¥ãŠããããããé·ãnã®æåås_iãšãã®çŸããa_iããããŠæ£åååf_i: B(0,1) â B(0,4)ã®ãã©ã¡ãŒã¿c_i, d_iïŒf_i(0) = c_iããã³f_i'(0) = d_iãæºããïŒããã¬ãŒã³ãããŸããã
ãµã³ã¿ã¯æ¬¡ã®åé¡ãèããŠããŸã... | 587aba5c-258d-5692-8880-dfbb96123859 | high | https://huggingface.co/datasets/nvidia/Nemotron-SFT-Multilingual-v2 | cc-by-4.0 |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2027-12-26
Reasoning effort: medium<|im_end|>
<|im_start|>user
質åã«å¯Ÿããåçãæç« ããäžèšã§æœåºããŠãã ãããåçã¯åè©ã§çããŠãã ããã ãã以å€ã«ã¯äœãå«ããªãããšãå³å®ããŠãã ããã
### å
¥å:
æç« ïŒéæ [SEP] ã倩ã«äºæ¥ãªããå°ã«äºçãªãããšã®ã瀌èšãã®èšè¿°ããäžåœåã³ãã®åœ±é¿ãåãã諞åœ... | jaster_v1.4.1_reasoning_medium_jsquad-33788 | medium | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2028-08-03
Reasoning effort: high<|im_end|>
<|im_start|>user
Which of the following scenarios would most likely require a constitutional amendment to resolve, given the current structure an... | nemotron_post_v2_stem_reasoning_high_314aa819-dd61-4fef-824d-afcb9d741916 | high | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2027-09-20
Reasoning effort: high<|im_end|>
<|im_start|>user
æã®è»éãçéžã«ã€ããŠè©³ããç¥èããããŸãã?<|im_end|>
<|im_start|>assistant
<think>
The user asks in Japanese: "Do you have detailed knowledge about... | multiturn_calm3_reasoning_high_multiturn_calm3-38236 | high | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "get_user_details", "description": "Retrieve user account information including verification status and eligibility", "parameters": {"type": "object", "properties": {"user_id": {"type": "string", "... | e9f730af-ab29-eed7-e6a4-cdbe52a3942e | medium | https://huggingface.co/datasets/nvidia/Nemotron-SFT-Agentic-v2 | cc-by-4.0 |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Reasoning effort: high<|im_end|>
<|im_start|>user
ç§ãã¡N人ãé»è»ãã¿ã¯ã·ãŒã§æ
è¡ã«è¡ããŸãã$ x = \sqrt{27 - 10\sqrt{2}} $ãšããŸããé»è»ã®è²»çšã¯äžäººåœãã$ \frac{A(x^4 + 10x^3 + 24x^2 + 10x + 47)}{x^4 + 10x^3 + 24x^2 + 10x + 47} $åã§ããã¿ã¯ã·ãŒã®è²»çšã¯åèšã§Båã§ããæå°ã®ç·ç§»åè²»çšã¯ãããã§ããïŒ
-----å¶çŽ-... | a1959272-b3de-5cf5-b626-746e2a8c2446 | high | https://huggingface.co/datasets/nvidia/Nemotron-SFT-Multilingual-v2 | cc-by-4.0 |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Reasoning effort: medium<|im_end|>
<|im_start|>user
Answer the following multiple choice question. The last line of your response should be in the following format: 'Answer: A/B/C/D/E/F/G/H/I/J' (e.g. 'Answer: A').
Does isopropyl alcohol h... | cb0aedeab6114ef98350445b6ebdbbb8 | medium | https://huggingface.co/datasets/nvidia/Nemotron-SFT-Science-v2 | CC BY-SA 4.0 |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "bash", "description": "runs the given command directly in bash", "parameters": {"type": "object", "properties": {"command": {"type": "string", "description": "The bash command to execute."}}, "req... | 597a11fb-bb5a-4564-b718-daa93c9d2e30 | medium | https://huggingface.co/datasets/nvidia/Open-SWE-Traces | BSD-3-Clause |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "browser.search", "description": "Search the web for information", "parameters": {"type": "object", "properties": {"query": {"type": "string"}, "topn": {"type": "integer"}, "source": {"type": "stri... | seed_52_8656 | high | https://huggingface.co/datasets/OpenResearcher/OpenResearcher-Dataset | mit |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "arc_python_executor", "description": "Executes Python code to transform grids. Code is tested on all training examples, then applied to test input. Use this for algorithmic solutions involving rot... | cba1957a-125f-443e-a41e-57650e0182c2 | high | https://huggingface.co/datasets/nvidia/Nemotron-SFT-ARC-AGI-v1 | cc-by-4.0 |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Reasoning effort: medium<|im_end|>
<|im_start|>user
Answer the following multiple choice question. The last line of your response should be in the following format: 'Answer: A/B/C/D/E/F/G/H/I/J' (e.g. 'Answer: A').
How does applying torque... | 4657a918c8844e6e94e53beef9f0dc65 | medium | https://huggingface.co/datasets/nvidia/Nemotron-SFT-Science-v2 | CC BY-SA 4.0 |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Reasoning effort: medium<|im_end|>
<|im_start|>user
Answer the following multiple choice question. The last line of your response should be in the following format: 'Answer: A/B/C/D' (e.g. 'Answer: A').
What specific function does the cere... | 69cd9d0993c54a59851a3c048a9ad765 | medium | https://huggingface.co/datasets/nvidia/Nemotron-SFT-Science-v2 | CC BY-SA 4.0 |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2021-07-05
Reasoning effort: low<|im_end|>
<|im_start|>user
In the context of the increasing demand for high-density data storage, I would like to ask you to discuss the potential benefits ... | daring_anteater_reasoning_low_daring_anteater_en-49022 | low | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Reasoning effort: medium<|im_end|>
<|im_start|>user
A junior analyst on your team is unfamiliar with non-major currency classifications. Please prepare a brief explanatory email that defines cross-currency pairs and exotic currency pairs, a... | 510d3365-8617-4822-9f35-cfe7972fb82e | medium | https://huggingface.co/datasets/nri-ai/nri-fin-reasoning | cc-by-4.0 |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2030-08-24
Reasoning effort: high<|im_end|>
<|im_start|>user
Instructions: Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the origina... | flan_reasoning_high_flan-NIv2-task450_opus_paracrawl_so_en_translation-zs_opt-0 | high | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "browser.search", "description": "Search the web for information", "parameters": {"type": "object", "properties": {"query": {"type": "string"}, "topn": {"type": "integer"}, "source": {"type": "stri... | seed_45_531 | high | https://huggingface.co/datasets/OpenResearcher/OpenResearcher-Dataset | mit |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2028-03-02
Reasoning effort: medium<|im_end|>
<|im_start|>user
質åïŒä»¥äžã®æ§è³ªãæã€ãã€ããªæ€çŽ¢æšïŒBSTïŒãæ³åããŠãã ãããåããŒãã«ã¯äžæã®æŽæ°å€ãå«ãŸããŠãããããããŒãã®å·Šéšåæšã¯ãã®å€ãããå°ããå€ã®ã¿ãå«ãããŒãã§æ§æãããå³éšåæšã¯ãã®å€ãã倧ããå€ã®ã¿ãå«ãããŒãããæ§æãããŠããŸãã
Pyt... | logical_math_coding_wizard8x22b_reasoning_medium_logical_math_coding_wizard8x22b-10936 | medium | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
You are a helpful and harmless assistant.
You are not allowed to use any tools.
Reasoning effort: medium<|im_end|>
<|im_start|>user
Create a detailed checklist for reviewing insurance claim documents, ensuring adherence to industry regulations. Highlight five sections of the checklist, each address... | 51436857-075a-4ed8-9c6b-2e1cb44d197a | medium | https://huggingface.co/datasets/nvidia/Nemotron-SFT-Instruction-Following-Chat-v3 | cc-by-4.0 AND odc-by |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2027-05-15
Reasoning effort: high<|im_end|>
<|im_start|>user
åæãšä»®èª¬ã®é¢ä¿ãentailmentãnon-entailmentã®äžããåçããŠãã ããããã以å€ã«ã¯äœãå«ããªãããšãå³å®ããŠãã ããã
å¶çŽïŒ
- åæã«å¯ŸããŠä»®èª¬ãåãæå³ãå«ãå Žåã¯ãentailmentãšåºå
- åæã«å¯ŸããŠä»®èª¬ãç°ãªãæ... | jaster_v1.4.1_reasoning_high_janli-11075 | high | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "arc_python_executor", "description": "Executes Python code to transform grids. Code is tested on all training examples, then applied to test input. Use this for algorithmic solutions involving rot... | d1308e04-2000-4a92-ade5-bba6d0d1a1eb | high | https://huggingface.co/datasets/nvidia/Nemotron-SFT-ARC-AGI-v1 | cc-by-4.0 |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "arc_python_executor", "description": "Executes Python code to transform grids. Code is tested on all training examples, then applied to test input. Use this for algorithmic solutions involving rot... | 0ae8f28b-81b0-4f4e-aaca-41663194f20d | high | https://huggingface.co/datasets/nvidia/Nemotron-SFT-ARC-AGI-v1 | cc-by-4.0 |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "execute_bash", "description": "Execute a bash command in the terminal within a persistent shell session.\n\n\n### Command Execution\n* One command at a time: You can only execute one bash command ... | 37c719f7-401b-42ac-9606-051d6087f03c | medium | https://huggingface.co/datasets/nvidia/Open-SWE-Traces | MIT |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2030-04-01
Reasoning effort: high<|im_end|>
<|im_start|>user
I'm slowly climbing uphill, carrying my home on my back. What am I?
Make sure your answer has at least three letters.<|im_end... | nemotron_post_v3_if_reasoning_high_e45cc73a-be3c-4853-8300-78695f55a13c | high | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "arc_python_executor", "description": "Executes Python code to transform grids. Code is tested on all training examples, then applied to test input. Use this for algorithmic solutions involving rot... | a7136702-ee6a-4717-9982-f2d1a2646270 | high | https://huggingface.co/datasets/nvidia/Nemotron-SFT-ARC-AGI-v1 | cc-by-4.0 |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2028-11-14
Reasoning effort: high<|im_end|>
<|im_start|>user
ããããæç€ºããè±èªã®æç« ãæ¥æ¬èªã«ç¿»èš³ããŠãã ãããå¿
ãæ¥æ¬èªã®èš³æã®ã¿ãåºåãããã以å€ã«ã¯äœãå«ããªãããšãå³å®ããŠãã ããã
### å
¥å:
The ginkgo tree, from which Sakugoro HIRASE discover... | jaster_v1.4.1_reasoning_high_wikicorpus-e-to-j-8345 | high | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Reasoning effort: high<|im_end|>
<|im_start|>user
æ¬¡ã®æ°åŠã®åé¡ãè§£ããªãããçãïŒçãã®ã¿ïŒã\boxed{}ã®äžã«å
¥ããããã«ããŠãã ããã\n\näžããããç©åé¢ä¿åŒ\n\[\n\int dz \, d\overline{z} \, e^{-|z|^2} \, \overline{z}^n z^m = \pi n! \, \delta_{mn},\n\]\nã«ãããŠã倿°\( z \)ã\( z - a \)ïŒ\( a ... | ffb7d47a-a1d5-518f-b563-ae66c045eb1c | high | https://huggingface.co/datasets/nvidia/Nemotron-SFT-Multilingual-v2 | cc-by-sa-4.0 |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
ã«èšèŒãããŠããŸãã
<tools>
{"name": "execute_bash", "description": "Execute a bash command in the terminal within a persistent shell session.\n\n\n### Command Execution\n* One command at a time: You can only execute one bash command ... | 386a9dff-8e3f-4ceb-a581-917e6f4422dd | medium | https://huggingface.co/datasets/nvidia/Open-SWE-Traces | Apache-2.0 |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2026-02-22
Reasoning effort: medium<|im_end|>
<|im_start|>user
代åè©ã§ä»£æ¿è¡šçŸãè¡ãæ¹æ³ãšããã®ç®ç<|im_end|>
<|im_start|>assistant
## 1ïžâ£ ã¯ããã«
ã代åè©ã§ä»£æ¿è¡šçŸãè¡ããïŒ **å
è¡è©ïŒïŒèšåããã察象ïŒãç¹°ãè¿ããã«ã代åè©ãæç€ºèªã§çœ®ãæãã**ããšã§ãã ... | llmjp_magpie_sft_v1.0_reasoning_medium_calm3_22b_chat_20241022155627--26132--Qwen2.5_32B_Instruct_20241024144245_765977 | medium | https://huggingface.co/datasets/llm-jp/llm-jp-4-thinking-sft-data | multiple; see dataset card |
<|im_start|>system
# ããŒã«
ã¿ã¹ã¯ã解決ããããã«ã1ã€ãŸãã¯è€æ°ã®ããŒã«ãåŒã³åºãããšãã§ããŸãã
ããŒã«ã®ã·ã°ããã£ã¯ã<tools></tools> XMLã¿ã°å
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<tools>
{"name": "arc_python_executor", "description": "Executes Python code to transform grids. Code is tested on all training examples, then applied to test input. Use this for algorithmic solutions involving rot... | 106c6cfa-6dd1-4e4c-b0c3-c802680718d9 | high | https://huggingface.co/datasets/nvidia/Nemotron-SFT-ARC-AGI-v1 | cc-by-4.0 |
<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2027-05-04
Reasoning effort: high<|im_end|>
<|im_start|>user
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<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Knowledge cutoff: 2025-12
Conversation start date: 2029-10-07
Reasoning effort: medium<|im_end|>
<|im_start|>user
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<|im_start|>system
You are LLM-jp-4, a large language model trained by LLM-jp.
Reasoning effort: medium<|im_end|>
<|im_start|>user
Draft a brief on the emergency meeting held to review the suspicious activity report. The brief must identify the two highest-risk jurisdictions involved in the transactions, reference the... | 2ed53506-a9f3-40b9-9ec6-8b3afd7b49b0 | medium | https://huggingface.co/datasets/nri-ai/nri-fin-reasoning | cc-by-4.0 |
<|im_start|>system
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{"name": "authenticate_user", "description": "Verifies customer identity using email/phone and verification code for account access.", "parameters": {"properties": {"auth_method": {"enum": ["email", "phone"... | 29c7beb8-93dc-bcd9-d51f-190211611f59 | medium | https://huggingface.co/datasets/nvidia/Nemotron-SFT-Agentic-v2 | cc-by-4.0 |