jumplander
JL-Agentic-Behavior-10K
JumpLander Agentic Behavior 10K
Version 1.0.0 · 10,000 English canonical scenarios · 10 capability datasets
JumpLander Agentic Behavior 10K is a process-grounded synthetic suite for training and evaluating agents that plan, use tools, recover from failure, manage memory, verify outcomes, respect authority, coordinate with people and other agents, and control long-horizon tasks.
Release status
The package is complete as a v1 synthetic candidate release. It… See the full description on the dataset page: https://huggingface.co/datasets/jumplander/JL-Agentic-Behavior-10K.Persian-Business-Text-to-SQL-Gold-1K
Persian Business Text-to-SQL Gold-1K
1,000 Persian-native, execution-verified business Text-to-SQL examples for fine-tuning and benchmarking.
مجموعهای ۱۰۰۰ نمونهای برای تبدیل درخواستهای فارسی کسبوکار به SQL، همراه با دیتابیسهای SQLite اجرایی، schema کامل، متادیتای سختی/مهارت و ارزیابی مبتنی بر Execution Accuracy.
Motivation
BIRD emphasizes database-grounded Text-to-SQL and execution accuracy; Spider 2.0 pushes toward realistic enterprise database workflows.… See the full description on the dataset page: https://huggingface.co/datasets/jumplander/Persian-Business-Text-to-SQL-Gold-1K.JumpLander-PMB-100K
🚀 JumpLander-PMB-100K
Persian Model Behavior Dataset for Intent, Constraint, and Safe Response Evaluation
جامپلندر PMB-100K | مجموعهداده فارسی برای سنجش رفتار مدل، فهم نیت، رعایت محدودیت و پاسخ امن
Built by JumpLander
Official Website: jumplander.orgPersian Website: jumplander.org/faDocumentation: jumplander.org/fa/docsAbout JumpLander: jumplander.org/fa/aboutSupport JumpLander: jumplander.org/fa/rateHugging Face Organization:… See the full description on the dataset page: https://huggingface.co/datasets/jumplander/JumpLander-PMB-100K.JL-ActionBoundary-1K-v1.0.0
JL-ActionBoundary-1K v1.0.0
Counterfactual Ask–Inspect–Act–Defer supervision for coding agents
JL-ActionBoundary-1K teaches a coding agent to choose the correct next policy before changing code:
ACT: the task is sufficiently specified for bounded repository work;
INSPECT: missing information can be recovered from the repository;
ASK: a material product decision belongs to the user;
DEFER: live execution authority or rollback ownership is missing.… See the full description on the dataset page: https://huggingface.co/datasets/jumplander/JL-ActionBoundary-1K-v1.0.0.JumpForge-Agentic-SE-3K
JumpForge-Agentic-SE-3K
JumpForge-Agentic-SE-3K is a structured synthetic dataset for training and evaluating
AI software-engineering agents. Its primary target is agent behavior across the software
engineering lifecycle, not raw code generation or memorization of programming-language syntax.
The dataset teaches an agent to:
understand intent and ambiguity before acting;
explore repositories and trace system behavior;
decompose work into reversible steps;
select tools based on… See the full description on the dataset page: https://huggingface.co/datasets/jumplander/JumpForge-Agentic-SE-3K.JL-AgentBehavior-10K
JL-AgentBehavior-10K
JL-AgentBehavior-10K is a 10,000-record, English-language research-preview dataset for studying and training the behavioral policy of repository-level coding agents.
The dataset does not treat a coding agent as a chatbot that maps a request directly to a block of code. It represents an agent as a policy operating across a sequence of observable decisions:
task
-> repository evidence
-> bounded plan
-> tool selection
-> scoped edit strategy
->… See the full description on the dataset page: https://huggingface.co/datasets/jumplander/JL-AgentBehavior-10K.