DAG Workflow Dependency Code Verification Dataset

#Code verification #Dependency parsing #Topological order validation #Root cause analysis #Workflow scheduling #Dependency debugging #Task orchestration #Downstream trigger analysis
Records
7265
Size
0.5GB
Format
JSON
Provider
MOBIUSI INCMOBIUSI INC
Updated
v1.02026-11-05
AI Analysis & Value Prop

This dataset contains DAG workflow source code for analyzing workflow dependencies, including dependency declarations, topological sorting, conditional branches, and downstream trigger logic. It provides validation annotations for issues such as cycles, missing dependencies, incorrect task releases, and invalid execution order, alongside structured nodes, edges, execution sequences, and verification results. It supports code verification, dependency debugging, and root cause analysis for scheduling systems.

Overview

Dataset Insights

Preview

Sample Examples

sample.json
{}

Schema

Technical Specifications

file_namestringFile name
source_codestringWorkflow source code containing DAG definitions, dependency declarations, topological sorting, conditional branches, or downstream trigger logic.
parsed_nodesarrayWorkflow nodes parsed from the source code, including their operation types.
dependency_edgesarrayDirected dependency edges parsed from the source code and node information.
topological_orderarrayThe node order computed from the parsed dependency relationships.
condition_branchesarrayConditional workflow nodes, branch paths, and merge relationships.
downstream_triggersarrayRelationships that trigger other tasks or downstream workflows after workflow completion.
root_cause_analysisobjectA structured analysis of the causes and impact of dependency errors, along with potential remediation directions.
verification_resultobjectAutomated verification results for cyclic dependencies, missing dependencies, incorrect task releases, and invalid execution order.
validation_annotationobjectThe dependency error type identified by the dataset and the evidence supporting its verification.

Trust

Compliance Statement

Authorization Type

Proprietary - Commercial AI Training License (No Redistribution)

Commercial Use

Requires exclusive subscription or authorization contract (monthly or per-invocation charging)

Privacy and Anonymization

No PII, no real company names, simulated scenarios follow industry standards

Compliance System

Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

FAQ

Frequently Asked Questions

What workflow content does the dataset include?
It includes DAG workflow source code and structured information such as nodes, dependency edges, topological execution order, conditional branches, and downstream trigger relationships.
Which dependency issues are annotated?
The annotations cover cyclic dependencies, missing dependencies, incorrect task releases, and invalid execution order, with supporting verification evidence. Root cause analysis summarizes causes, impact, and potential fixes.
Which development or evaluation tasks does it support?
It can support workflow dependency parsing, topological order checks, code verification, dependency error detection, and root cause analysis. It can also help evaluate how well scheduling systems interpret branch and downstream trigger logic.
How can I access the dataset, and what are the licensing terms?
The available description does not specify download options or license terms. Check the dataset listing for access instructions, permitted uses, and commercial licensing conditions.

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Cite this Work

@dataset{Mobiusi2026,
  title={DAG Workflow Dependency Code Verification Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/0c0330a527b1370edd52ed5f5f63d7a2?dataset_task_cate_id=1},
  urldate={2026-10-27},
  keywords={DAG workflow dataset,workflow dependency verification,task scheduling code,dependency error detection,topological sort validation,cycle dependency analysis,workflow root cause analysis,downstream trigger validation},
  version={1.0}
}

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