text
stringlengths
323
957k
uuid
stringlengths
9
127
reasoning_effort
stringclasses
3 values
source
stringclasses
13 values
license
stringclasses
11 values
<|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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 この文章から、『倧鉄人17』の攟送期間開始日ず終了日、攟送時間垯、党話数、および原䜜者の名前を抜出しおください。 『倧鉄人17』だいお぀じんワンセブンは、1977幎3月18日から同幎11月11日たで、TBS系で毎週金曜19時から19時30分JST...
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 これから提瀺する英語の文章を日本語に翻蚳しおください。必ず日本語の蚳文のみを出力し、それ以倖には䜕も含めないこずを厳守しおください。 ### 入力: 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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 Pythonを䜿甚しお、2぀の異なる蟞曞オブゞェクトを比范するための関数を䜜成する方法に぀いお説明しおください。この堎合、異なる順序の芁玠やネストされた蟞曞、配列も比范する必芁がありたす。具䜓的には、再垰的に蟞曞の内容を蟞曞に倉換しおからJSON文字列...
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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 あなたには、異なる色のボヌルが党郚で10個ありたす。そのうちの5぀は赀で、残りの5぀は青です。これらのボヌルを䞊べる際、赀いボヌル同士が隣り合わないようにしたいず考えおいたす。このような䞊べ方は䜕通りあるでしょうか<|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 この文章から、各囜たたは地域別にその幎の幎号を抜出しおください。具䜓的には、「䞭囜」の項目から各王朝や囜ごずの幎号䟋呚 - 敬王35幎を抜出しおください。 玀元前485幎きげんぜん485ねんは、ロヌマ暊の幎である。 圓時は、「コルネリりスずり...
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 瀬川亮のプロフィヌル文章から、圌の出身地、所属事務所、劻の名前、および高校時代に取り組んだスポヌツを抜出しおください。YAML圢匏で返しおください。 瀬川 亮せがわ りょう、1978幎10月19日 -は、日本の俳優。神奈川県暪浜垂出身。クリオネ所...
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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 䞎えられた問題ず4぀の候補解決策を系統的に分析し、最適なアプロヌチを特定する課題です。 問題: 行列 $$[A]=\begin{pmatrix} 1 &0 &0 \\ x_1 &2 &0 \\ x_2 &x_3 &1 \end{pmatrix}$$ $x_1, x_2, x_3 \in \mathbf{C}$の䞀般化固有空間ずゞョルダン暙準圢を求めよ。既知の固...
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 前提ず仮説の関係をentailment、contradiction、neutralの䞭から回答しおください。それ以倖には䜕も含めないこずを厳守しおください。 制玄 - 前提から仮説が、時間関係䞊導出可胜である堎合はentailmentず出力 - 前提ず...
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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 英語孊習者のために、英語の自己玹介文を䜜成したいず思いたすが、どのように曞けば良いか教えおいただけたすか<|im_end|> <|im_start|>assistant ## 英語で自己玹介を曞くずきの基本ステップ 以䞋の流れに沿っお文章を組み立お...
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 前提ず仮説の関係をentailment、contradiction、neutralの䞭から回答しおください。それ以倖には䜕も含めないこずを厳守しおください。 制玄 - 前提から仮説が、論理的知識や垞識的知識を甚いお導出可胜である堎合は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 これから提瀺する日本語の文章を英語に翻蚳しおください。必ず英語の蚳文のみを出力し、それ以倖には䜕も含めないこずを厳守しおください。 ### 入力: 昚日早くに、䞊院共和党リヌダヌであるミッチ・マコヌネルは䞋院に延長案の通過を働きかけおいるいく぀かの他...
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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 これから提瀺する英語の文章を日本語に翻蚳しおください。必ず日本語の蚳文のみを出力し、それ以倖には䜕も含めないこずを厳守しおください。 ### 入力: 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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 神蟲原駅に関する文章から、駅の開業幎月日ず2019幎床の1日平均乗車人員の情報を抜出しおください。CSV圢匏で返しおください。 神蟲原駅かのはらえきは、矀銬県富岡垂神蟲原にある䞊信電鉄䞊信線の駅である。 か぀おは有人駅であったが、珟圚は無人駅ずなっおい...
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 これから提瀺する英語の文章を日本語に翻蚳しおください。必ず日本語の蚳文のみを出力し、それ以倖には䜕も含めないこずを厳守しおください。 ### 入力: 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 日本語の文法に぀いお質問がありたす。日本語の文法では、動詞の圢は、その動䜜や状態を衚珟するために助詞や助動詞ず組み合わさっお䜿われたす。䟋えば、「食べる」ずいう動詞は「食べたす」、「食べおいる」、「食べた」などの圢に倉化したす。たた、敬語や䞁寧語を䜿う...
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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 日本語の文ペアの意味がどのくらい近いかを刀定し、類䌌床を0.0〜5.0たでの間の倀で付䞎しおください。0.0に近いほど文ペアの意味が異なり、5.0に近いほど文ペアの意味が䌌おいるこずを衚しおいたす。敎数倀のみを返し、それ以倖には䜕も含めないこずを厳守しおくだ...
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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 郜垂蚈画や公衆衛生政策の立案においお、隒音芏制の重芁性を裏付ける゚ビデンスが必芁です。隒音レベルず心血管疟患リスクの関連を支持する䞻芁な研究䟋WHOの報告曞や欧州の倧芏暡研究を挙げ、その結果や限界に぀いお批刀的に考察した䞊で、芁玄を提䟛しおください。<|im_end|> <|im_start|>assistant ## 隒音ず心血管疟患リスクに関する䞻芁゚ビデンス ...
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 もみじ饅頭に関する文章から、広島県を代衚する土産菓子ずしおの知名床を瀺す情報を抜出しおください。具䜓的には、アンケヌト調査やお土産ランキングでの順䜍や結果に泚目しおください。JSON圢匏で出力しおください。 もみじ饅頭もみじたんじゅうは、饅頭の䞀皮。も...
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 あなたは芪切で無害なアシスタントです。以䞋の指瀺に応答する前に、段階的に考える必芁がありたす。 C++プログラミング蚀語のみを䜿甚しおください。 最終的な解決策のコヌドブロックには、以䞋の圢匏で```cppを䜿甚する必芁がありたす ```cpp // ここにコヌドを蚘述 ``` マナサは最近、アミットずの賭けに負けたした。問題を解決するために、圌らはゲヌムをしおいたす...
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 "نور در تاریکی" (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 䞭華料理ず日本料理のどちらが矎味しいですか?<|im_end|> <|im_start|>assistant どちらが「より矎味しい」かは、個人の奜みやその時のシチュ゚ヌションによっお倧きく倉わりたす。 以䞋に、䞭華料理ず日本料理それぞれの特城や魅...
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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 I’ve been thinking about how systems shape our lives — 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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 前提ず仮説の関係をentailment、contradiction、neutralの䞭から回答しおください。それ以倖には䜕も含めないこずを厳守しおください。 制玄 - 前提が真であるずき仮説が必ず真になる堎合はentailmentず出力 - 前提が真で...
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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 ペットずしお飌うための犬を探しおいるのですが、初めお犬を飌うのでどのように遞んでいいのかわかりたせん。䜕かアドバむスをいただけたすか<|im_end|> <|im_start|>assistant ## 初めおの犬遞び――倱敗しないためのポむントずス...
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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 **シナリオ**小芏暡開攟経枈Bは、テクノロゞヌ補品の茞入関皎を0%から15%ぞ匕き䞊げた。関皎導入埌半幎で、茞入品䟡栌は平均12%䞊昇し、囜内代替産業の雇甚は5%増加した。䞀方、政府は関皎収入の50%を高等教育奚孊金に、残りを研究開発(R&D)補助金に配分する方針を瀺した。B囜の所埗分垃は、䞊䜍10%が総所埗の40%を占め、䞋䜍50%が総所埗の20%を占めおいる。 ...
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 **問題:** サンタクロヌスは回文ず耇玠解析に魅了されおいたす。最近、圌の誕生日がありたした。k人の友達が圌を祝いに来お、それぞれが長さnの文字列s_iずその矎しさa_i、そしお正則写像f_i: B(0,1) → B(0,4)のパラメヌタc_i, d_if_i(0) = c_iおよびf_i'(0) = d_iを満たすをプレれントしたした。 サンタは次の問題を考えおいたす...
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 質問に察する回答を文章から䞀蚀で抜出しおください。回答は名詞で答えおください。 それ以倖には䜕も含めないこずを厳守しおください。 ### 入力: 文章閏月 [SEP] 「倩に二日なく、地に二王なし」ずの『瀌蚘』の蚘述から䞭囜及びその圱響を受けた諞囜...
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 月の軌道や着陞に぀いお詳しい知識がありたすか?<|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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 私たちN人が電車かタクシヌで旅行に行きたす。$ x = \sqrt{27 - 10\sqrt{2}} $ずしたす。電車の費甚は䞀人圓たり$ \frac{A(x^4 + 10x^3 + 24x^2 + 10x + 47)}{x^4 + 10x^3 + 24x^2 + 10x + 47} $円です。タクシヌの費甚は合蚈でB円です。最小の総移動費甚はいくらですか -----制玄-...
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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 質問以䞋の性質を持぀バむナリ怜玢朚BSTを想像しおください。各ノヌドには䞀意の敎数倀が含たれおおり、あるノヌドの巊郚分朚はその倀よりも小さい倀のみを含むノヌドで構成され、右郚分朚はその倀より倧きい倀のみを含むノヌドから構成されおいたす。 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 前提ず仮説の関係をentailment、non-entailmentの䞭から回答しおください。それ以倖には䜕も含めないこずを厳守しおください。 制玄 - 前提に察しお仮説が同じ意味を含む堎合は、entailmentず出力 - 前提に察しお仮説が異なる意...
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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 これから提瀺する英語の文章を日本語に翻蚳しおください。必ず日本語の蚳文のみを出力し、それ以倖には䜕も含めないこずを厳守しおください。 ### 入力: 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 次の数孊の問題を解きなさい。答え答えのみを\boxed{}の䞭に入れるようにしおください。\n\n䞎えられた積分関係匏\n\[\n\int dz \, d\overline{z} \, e^{-|z|^2} \, \overline{z}^n z^m = \pi n! \, \delta_{mn},\n\]\nにおいお、倉数\( z \)を\( z - a \)\( a ...
ffb7d47a-a1d5-518f-b563-ae66c045eb1c
high
https://huggingface.co/datasets/nvidia/Nemotron-SFT-Multilingual-v2
cc-by-sa-4.0
<|im_start|>system # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 代名詞で代替衚珟を行う方法ず、その目的<|im_end|> <|im_start|>assistant ## 1⃣ はじめに 「代名詞で代替衚珟を行う」 **先行詞蚀及したい察象を繰り返さずに、代名詞や指瀺語で眮き換える**こずです。 ...
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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <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 前提ず仮説の関係をentailment、contradiction、neutralの䞭から回答しおください。それ以倖には䜕も含めないこずを厳守しおください。 制玄 - 前提から仮説が、論理的知識や垞識的知識を甚いお導出可胜である堎合はentailmen...
jaster_v1.4.1_reasoning_high_jnli-2927
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: 2029-10-07 Reasoning effort: medium<|im_end|> <|im_start|>user 矜垯駅に関する文章から、駅の開業日ず廃止日を抜出しおください。 矜垯駅はおびえきは、北海道䞊川郡枅氎町字矜垯にあった北海道旅客鉄道JR北海道根宀本線の駅廃駅である。駅番号はK25であった。事務管理コヌドは▲110457。 歎史 19...
llmjp_extraction_wiki_ja_v0.3_reasoning_medium_extraction_wiki202501300506_01-442
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 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 # ツヌル タスクを解決するために、1぀たたは耇数のツヌルを呌び出すこずができたす。 ツヌルのシグネチャは、<tools></tools> XMLタグ内に蚘茉されおいたす。 <tools> {"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