notion-hf-curator

Export Notion content to JSONL datasets and publish curated models to Hugging Face.

6|1|Updated Jan 17, 2026

Search Tags:#qa #notion #github-actions #dataset #huggingface #model-curation

Ready to run

npx skills add https://github.com/issdandavis/SCBE-AETHERMOORE --skill notion-hf-curator

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: notion-hf-curator
Source: https://github.com/issdandavis/SCBE-AETHERMOORE/tree/main/external/codex-skills-live/notion-hf-curator
Command: npx skills add https://github.com/issdandavis/SCBE-AETHERMOORE --skill notion-hf-curator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

End-to-end Notion-to-Hugging Face dataset and model curation workflow for SCBE repositories (export, QA, comparison, GitHub Actions, publishing).

Core Features & Use Cases

Export Notion content to dataset JSONL suitable for model training and evaluation.
Run QA, comparison with codebase, and publish curated datasets/models to Hugging Face via automated pipelines.
Use cases include exporting Notion pages for training data, auditing dataset coverage, and deploying updated datasets/models through CI/CD.

Quick Start

Run the Notion-to-HF Curator from the repository root after configuring NOTION_TOKEN and HF_TOKEN to export data, run QA, and publish to Hugging Face.

Frequently Asked Questions about notion-hf-curator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I export Notion content to datasets for Hugging Face model curation?▼

Notion content is exported to dataset JSONL files suitable for model training and evaluation. The pipeline then runs QA, comparison, and publishes the curated datasets and models to Hugging Face.

What do I need to set up before running the Notion to Hugging Face export pipeline?▼

You need a Notion API token, a Hugging Face token, and a local clone of the SCBE-AETHERMOORE repository. The pipeline runs from the repository root after configuring these tokens.

Can I use GitHub Actions to automate dataset publishing to Hugging Face?▼

Yes, the workflow supports deploying updated datasets and models through CI/CD pipelines using GitHub Actions. This automates the export, QA, and publishing stages end-to-end.

Does the dataset curation workflow include quality assurance and codebase comparison?▼

The pipeline includes QA and comparison with the codebase to audit dataset coverage. This ensures the exported Notion data meets quality standards before model training.

Why does my Notion to Hugging Face export require running from the repository root?▼

Running from the repository root ensures the pipeline has access to necessary local scripts and references for the SCBE repositories. This enables proper coordination for export, QA, and publishing.