nicholasKluge/model-library

Model Library DB

Table of Contents

• —Table of Contents
• —Dataset Description
• —Dataset Summary
• —Supported Tasks and Leaderboards
• —Languages
• —Dataset Structure
• —Data Instances
• —Data Fields
• —Data Splits
• —Dataset Creation
• —Curation Rationale
• —Source Data
• —Annotations
• —Personal and Sensitive Information
• —Considerations for Using the Data
• —Social Impact of Dataset
• —Discussion of Biases
• —Other Known Limitations
• —Additional Information
• —Dataset Curators
• —Licensing Information
• —Citation Information
• —Contributions

Dataset Description

• —Homepage: https://huggingface.co/spaces/nicholasKluge/Model-Library
• —Repository: https://github.com/Nkluge-correa/ModelLibrary
• —Point of Contact: AIRES at PUCRS

Dataset Summary

The Model Library is a project that maps the risks associated with modern machine learning systems. Here, we assess some of the most recent and capable AI systems ever created. This is the database for the Model Library.

Supported Tasks and Leaderboards

This dataset serves as a catalog of machine learning models, all displayed in the Model Library.

Languages

English.

Dataset Structure

Data Instances

Features available are: model_name_string, model_name_url, model_size_string, dataset, data_type, research_field, risks_and_limitations, risk_types,publication_date, organization_and_url, institution_type, country, license, paper_name_url, model_description, organization_info.

Data Fields

Read Data Instances.

Data Splits

"main" slipt is the current version displayed in the Model Library.

Dataset Creation

Curation Rationale

This dataset is maintained as part of a research project to catalog risks related to ML models.

Source Data

Initial Data Collection and Normalization

All data was collected manually.

Who are the source language producers?

More information can be found here.

Annotations

Annotation process

More information can be found here.

Who are the annotators?

Members of the AI Robotics Ethics Society (AIRES).

Personal and Sensitive Information

No personal or sensitive information is part of this dataset.

Considerations for Using the Data

Social Impact of Dataset

No considerations.

Discussion of Biases

No considerations.

Other Known Limitations

No considerations.

Additional Information

Dataset Curators

Members of the AI Robotics Ethics Society (AIRES).

Licensing Information

This dataset is licensed under the Apache License, version 2.0.

Citation Information

@misc{correa24library,
    author = {Nicholas Kluge Corr{\^e}a and Faizah Naqvi and Robayet Rossain},
    title = {Model Library},
    year = {2024},
    howpublished = {\url{https://github.com/Nkluge-correa/Model-Library}}
}

Contributions

If you would like to add a model, read our documentation and submit a PR on GitHub!