Datasets:

laion
/

nemotron-terminal-adapters_math

conversations listlengths 2 116	agent stringclasses 1 value	model stringclasses 1 value	model_provider stringclasses 1 value	date stringdate 2025-12-15 18:02:05 2026-01-19 19:45:51	task stringlengths 9 11	episode stringclasses 54 values	run_id stringclasses 33 values	trial_name stringlengths 18 20	enable_thinking bool 1 class	source stringclasses 1 value	difficulty stringclasses 1 value
[ { "content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st...	terminus-2	deepseek-ai/DeepSeek-V3.2	hosted_vllm	2025-12-15T18:02:05.763790	task_38879	episode-2	28cf9ee9-81db-4e6e-b49f-d8c2aca937b0	task_38879__cu3Wz67	true	adapters_math	na
[ { "content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st...	terminus-2	deepseek-ai/DeepSeek-V3.2	hosted_vllm	2025-12-15T18:02:05.780552	task_130151	episode-5	28cf9ee9-81db-4e6e-b49f-d8c2aca937b0	task_130151__QVRAenm	true	adapters_math	na
[ { "content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st...	terminus-2	deepseek-ai/DeepSeek-V3.2	hosted_vllm	2025-12-15T18:02:05.795701	task_50126	episode-4	28cf9ee9-81db-4e6e-b49f-d8c2aca937b0	task_50126__vBCxqSz	true	adapters_math	na
[ { "content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st...	terminus-2	deepseek-ai/DeepSeek-V3.2	hosted_vllm	2025-12-15T18:02:05.810683	task_31048	episode-8	28cf9ee9-81db-4e6e-b49f-d8c2aca937b0	task_31048__9Nxyq4Y	true	adapters_math	na
[ { "content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st...	terminus-2	deepseek-ai/DeepSeek-V3.2	hosted_vllm	2025-12-15T18:02:05.825657	task_23771	episode-7	28cf9ee9-81db-4e6e-b49f-d8c2aca937b0	task_23771__Xt5WTKL	true	adapters_math	na
[{"content":"You are an AI assistant tasked with solving command-line tasks in a Linux environment. (...TRUNCATED)	terminus-2	deepseek-ai/DeepSeek-V3.2	hosted_vllm	2025-12-15T18:02:05.840473	task_147301	episode-9	28cf9ee9-81db-4e6e-b49f-d8c2aca937b0	task_147301__dvP7HH5	true	adapters_math	na
[{"content":"You are an AI assistant tasked with solving command-line tasks in a Linux environment. (...TRUNCATED)	terminus-2	deepseek-ai/DeepSeek-V3.2	hosted_vllm	2025-12-15T18:02:05.855270	task_81364	episode-5	28cf9ee9-81db-4e6e-b49f-d8c2aca937b0	task_81364__K2MH5u4	true	adapters_math	na
[{"content":"You are an AI assistant tasked with solving command-line tasks in a Linux environment. (...TRUNCATED)	terminus-2	deepseek-ai/DeepSeek-V3.2	hosted_vllm	2025-12-15T18:02:05.869891	task_27837	episode-4	28cf9ee9-81db-4e6e-b49f-d8c2aca937b0	task_27837__cK8YTNV	true	adapters_math	na
[{"content":"You are an AI assistant tasked with solving command-line tasks in a Linux environment. (...TRUNCATED)	terminus-2	deepseek-ai/DeepSeek-V3.2	hosted_vllm	2025-12-15T18:02:05.884617	task_153146	episode-8	28cf9ee9-81db-4e6e-b49f-d8c2aca937b0	task_153146__Tgf2kAE	true	adapters_math	na
[{"content":"You are an AI assistant tasked with solving command-line tasks in a Linux environment. (...TRUNCATED)	terminus-2	deepseek-ai/DeepSeek-V3.2	hosted_vllm	2025-12-15T18:02:05.899463	task_81604	episode-11	28cf9ee9-81db-4e6e-b49f-d8c2aca937b0	task_81604__e4Ufu4Y	true	adapters_math	na

End of preview. Expand in Data Studio

nemotron-terminal-adapters_math

Per-source partition of nvidia/Nemotron-Terminal-Corpus, filtered to source == "adapters_math". The difficulty column preserves the original easy / medium / mixed split (na for the dataset_adapters/* files, which did not carry a difficulty label).

Partitioning scheme:

adapters_{code,math,swe} — rows from dataset_adapters/{code,math,swe}.parquet
{skill} (e.g. debugging, security, …) — rows from synthetic_tasks/skill_based/{easy,medium,mixed}/{skill}/data_filtered.parquet

Columns

Same as the source dataset (conversations, agent, model, model_provider, date, task, episode, run_id, trial_name, enable_thinking) plus:

source — the partition key ("adapters_math" throughout this repo)
difficulty — easy / medium / mixed / na
original_source — only present in adapters_code; preserves the original source column value (OpenCodeReasoning or synthetic) from the upstream file.

Citation

@misc{pi2026dataengineeringscalingllm,
      title={On Data Engineering for Scaling LLM Terminal Capabilities},
      author={Renjie Pi and Grace Lam and Mohammad Shoeybi and Pooya Jannaty and Bryan Catanzaro and Wei Ping},
      year={2026},
      eprint={2602.21193},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2602.21193},
}

Original dataset license: CC-BY-4.0.

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Paper for laion/nemotron-terminal-adapters_math

On Data Engineering for Scaling LLM Terminal Capabilities

Paper • 2602.21193 • Published Feb 24 • 102