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Dataset · Question answering

Nemotron-Terminal-Corpus

by NVIDIA nvidia/Nemotron-Terminal-Corpus

Terminal-Corpus is a large-scale Supervised Fine-Tuning (SFT) dataset designed to scale the terminal interaction capabilities of Large Language Models (LLMs).

Rows366,154
Configurations4
Size8.2 GB
Licensecc-by-4.0
AccessPublicly accessible
Monthly Downloads97.7k

Dataset Card

By NVIDIA, published under cc-by-4.0, revision a1667c4ffdad.

Terminal-Corpus: Large-Scale SFT Dataset for Terminal Agents

Terminal-Corpus is a large-scale Supervised Fine-Tuning (SFT) dataset designed to scale the terminal interaction capabilities of Large Language Models (LLMs). Developed by NVIDIA, this dataset was built using the Terminal-Task-Gen pipeline, which combines dataset adaptation with synthetic task generation across diverse domains.

Key Results & Performance

The high-quality trajectories in Terminal-Corpus enable models of various sizes to achieve performance that rivals or exceeds much larger frontier models on the Terminal-Bench 2.0 benchmark.

1. Overall Performance Comparison

Training on Terminal-Corpus yields substantial gains across the Qwen3 model family:

Model Size Base Model (Qwen3) Accuracy Nemotron-Terminal Accuracy Improvement
8B 2.5% ± 0.5 13.0% ± 2.2 ~5.2x
14B 4.0% ± 1.3 20.2% ± 2.7 ~5.0x
32B 3.4% ± 1.6 27.4% ± 2.4 ~8.0x

The Nemotron-Terminal-32B (27.4%) outperforms the 480B-parameter Qwen3-Coder (23.9%) and Gemini 2.5 Flash (16.9%). Nemotron-Terminal-14B (20.2%) achieves higher accuracy than the 120B GPT-OSS (high) (18.7%).

2. Domain-Specific Breakthroughs

Read the full dataset card (290 words)

Structure

dataset_adapters 226,313 rows

SplitRowsSize
train226,31313.3 GB
conversationslistagentstringmodelstringmodel_providerstringdatestringtaskstringepisodestringrun_idstringtrial_namestringenable_thinkingboolsourcestring

skill_based_easy 44,809 rows

SplitRowsSize
train44,8092.2 GB
conversationslistagentstringmodelstringmodel_providerstringdatestringtaskstringepisodestringrun_idstringtrial_namestringenable_thinkingbool

skill_based_medium 89,343 rows

SplitRowsSize
train89,3436.2 GB
conversationslistagentstringmodelstringmodel_providerstringdatestringtaskstringepisodestringrun_idstringtrial_namestringenable_thinkingbool

skill_based_mixed 5,689 rows

SplitRowsSize
train5,689271.0 MB
conversationslistagentstringmodelstringmodel_providerstringdatestringtaskstringepisodestringrun_idstringtrial_namestringenable_thinkingbool

Details

Repository
nvidia/Nemotron-Terminal-Corpus
Publisher
NVIDIA
Task category
Question answering
Tags
code
Size category
100K<n<1M
Languages
en
Revision
a1667c4ffdadea02a89bffe4f1bb7ca2ff19f8d9
Last updated
2026-02-27

Files

31 files, 8.2 GB in total.

Data29 files · 8.2 GB
Documentation1 file · 3.3 KB
Repository1 file · 2.5 KB
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README.mdDocumentation3.3 KB
.gitattributesRepository2.5 KB

License and Download

License
cc-by-4.0
Access
No access gate
Download from NVIDIA

Released by NVIDIA through its official repository on Hugging Face. Read the license.