Hugging Face Paper Publisher Skill

Overview

This skill helps you publish and manage research papers on the Hugging Face Hub, enabling seamless integration with models, datasets, and reproducible research.

Core Capabilities

1. Paper Creation and Publishing

• Create new paper pages on Hugging Face Hub
• Format paper content with proper markdown structure
• Add paper metadata (title, authors, abstract, keywords)
• Upload PDF versions and supplementary materials
• Set paper visibility (public/private)

2. Model and Dataset Integration

• Link papers to associated models on the Hub
• Connect papers with relevant datasets
• Create reproducible research workflows
• Add code snippets and implementation details
• Set up automatic model card generation

3. Authorship and Attribution

• Claim and verify authorship
• Manage contributor lists and affiliations
• Add ORCID integration for author identification
• Handle citation and reference management
• Update author information over time

4. Paper Management

• Update existing papers with new versions
• Add errata and corrections
• Manage paper discussions and community feedback
• Track paper metrics and usage statistics
• Handle paper withdrawal or retraction

Usage Instructions

Publishing a New Paper

1. Prepare your paper content in markdown format
2. Gather paper metadata (title, authors, abstract, etc.)
3. Create a new paper repository on Hugging Face Hub
4. Upload PDF and supplementary materials
5. Link associated models and datasets
6. Set appropriate visibility and licensing

Linking Models and Datasets

1. Identify relevant models and datasets on the Hub
2. Create proper linking in paper metadata
3. Add reproducible code snippets
4. Set up automatic model card references
5. Ensure version compatibility

Managing Authorship

1. Add all contributors with proper attribution
2. Include institutional affiliations
3. Add ORCID IDs for author verification
4. Update author information as needed
5. Handle author order and contributions

Dependencies

• huggingface_hub
• datasets (for dataset integration)
• transformers (for model integration)
• PyPDF2 or pdfplumber (for PDF processing)
• python-markdown (for markdown processing)
• requests (for API interactions)

Best Practices

• Use clear, descriptive titles and abstracts
• Include proper citations and references
• Provide reproducible code when possible
• Link to all relevant models and datasets
• Use appropriate open-source licenses
• Keep paper information up to date
• Engage with community feedback and discussions

Integration Notes

• Works seamlessly with Hugging Face Hub API
• Supports integration with GitHub for code linking
• Compatible with various citation formats (APA, MLA, IEEE)
• Can be used with manuscript preparation tools
• Supports automated paper updates from version control

Paper Structure Template

# Paper Title

## Abstract
[Brief summary of the paper]

## Authors
- [Author Name](https://huggingface.co/author-username) - Institution

## Paper Content
[Full paper content in markdown format]

## Models Used
- [Model Name](https://huggingface.co/model-repo) - Description

## Datasets
- [Dataset Name](https://huggingface.co/dataset-repo) - Description

## Code Repository
[Link to GitHub or other code repository]

## Citation
```bibtex
@paper{citation-key,
  title={Paper Title},
  author={Author Names},
  year={Year},
  journal={Journal/Conference}
}