shunzou05/TerminalHorizon-Environment
TerminalHorizon-Environment Scaling Agentic Data for Long-Horizon Terminal Intelligence TerminalHorizon is a fully automated data synthesis engine for long-horizon terminal agents. Grounded in real-world professional work, it constructs executable environments and generates training trajectories that connect agentic behavioral patterns across stages toward a shared goal. This repository releases the 1,535 task environments underlying the project. Each task includes a public… See the full description on the dataset page: https://huggingface.co/datasets/shunzou05/TerminalHorizon-Environment.
TerminalHorizon-Environment
Scaling Agentic Data for Long-Horizon Terminal Intelligence
TerminalHorizon is a fully automated data synthesis engine for long-horizon terminal agents. Grounded in real-world professional work, it constructs executable environments and generates training trajectories that connect agentic behavioral patterns across stages toward a shared goal.
This repository releases the 1,535 task environments underlying the project. Each task includes a public instruction, a containerized runtime, a reference solution, and a verifier in Harbor format. The companion TerminalHorizon-3K dataset provides the training trajectories.
Resources
Dataset Overview
The terminal is a shared interaction interface, not a restriction to software tasks. The environments span software engineering, machine learning, education, agriculture, healthcare, finance, scientific research, and other professional domains. They are designed to support substantial, sustained terminal work whose difficulty follows from the professional objective and the work needed to complete it.
TerminalHorizon uses challenge-guided reconstruction and progressive horizon expansion to develop environments for long-horizon problem solving. Its focus is on meaningful work and connected agent behavior, rather than task length alone.
Using the Environments
Download the dataset and extract the task packages:
pip install -U huggingface_hub
hf download shunzou05/TerminalHorizon-Environment \
--repo-type dataset --local-dir TerminalHorizon-Environment
cd TerminalHorizon-Environment
mkdir -p tasks
for archive in data/tasks-*.tar.gz; do
tar -xzf "$archive" -C tasks
doneEach task is stored intact in one archive and follows the Harbor package layout:
<task_id>/
instruction.md # Public task description
task.toml # Task and runtime configuration
environment/ # Environment definition and task materials
solution/ # Reference solution; entry point: solve.sh
tests/ # Verifier; entry point: test.shRead the Task Index
The Parquet index provides one searchable row per task. It supports browsing instructions, categories, package summaries and Docker environment definitions without extracting the task archives.
from datasets import load_dataset
tasks = load_dataset(
"shunzou05/TerminalHorizon-Environment",
split="train",
)
print(tasks[0]["task_id"])
print(tasks[0]["instruction"])The train split is an indexing convention, not a prescribed train/test split. The Parquet index is not a replacement for the complete task archives: fixtures, repository history, binary assets and executable task files remain in data/.
Citation
Paper links and the citation will be added with the publication details.
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License
The dataset is distributed under Apache-2.0. Bundled third-party code and data remain subject to their respective licenses and notices.