datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
flowzap-sequence-workflows
sequence-workflows
A synchronized FlowZap template corpus with 242 canonical templates sourced from https://flowzap.xyz/sitemap-templates.xml and organized by primary Use Case.
Organization Model
Top-level folders are primary Use Cases from the FlowZap Templates dropdown.
Second-level folders preserve the original source domain from the FlowZap app index.
Each template keeps all matched Use Cases in metadata.json and the generated JSON/CSV indexes.
Templates that do not… See the full description on the dataset page: https://huggingface.co/datasets/Jules-OC/flowzap-sequence-workflows.gh-aw-workflows-dataset
GH-AW Workflows Dataset
Dataset relacional con repositorios de GitHub que usan
GitHub Agentic Workflows (GH-AW), y el
contenido estructurado de sus archivos de workflow: el .md fuente
(frontmatter YAML + body Markdown) y su .lock.yml/.lock.yaml compilado.
Generado con Miner, una CLI en
Python que identifica repositorios que usan GH-AW y extrae sus pares
.md + .lock en un formato analítico.
Repositorios incluidos: 338
Archivos de workflow incluidos: 1390 (cada uno con su .lock… See the full description on the dataset page: https://huggingface.co/datasets/EstebanCQ/gh-aw-workflows-dataset.gh-agentic-workflows
⛏️ PeakyMiner GH-AW Dataset
Dataset estructurado y normalizado de GitHub Agentic Workflows (GH-AW) extraído de repositorios públicos de GitHub mediante PeakyMiner.
📊 Resumen del Dataset
Este dataset contiene la especificación, instrucciones (prompts), metadatos y disparadores de flujos de trabajo de agentes autónomos basados en Markdown compilado a GitHub Actions (.md y .lock.yml).
Estadísticas de Extracción
Repositorios únicos analizados: 292… See the full description on the dataset page: https://huggingface.co/datasets/apa9s/gh-agentic-workflows.gms8k_workflows
🧠 Agentic Workflow Generation Dataset
The Agentic Workflow Generation Dataset is a curated collection of reasoning traces, workflow graphs, and language model outputs designed to study LLM-driven problem-solving through multi-step agentic workflows.Each entry represents a complete reasoning pipeline — from input problem to structured workflow execution, with metadata describing the model’s decision process, reasoning decomposition, and performance evaluation.
📦… See the full description on the dataset page: https://huggingface.co/datasets/darklord1611/gms8k_workflows.workflows