README.md

metadata

language:
  - en
license: apache-2.0
pretty_name: Model Library
dataset_info:
  features:
    - name: model_name_string
      dtype: string
    - name: model_name_url
      dtype: string
    - name: model_size_string
      dtype: string
    - name: dataset
      dtype: string
    - name: data_type
      dtype: string
    - name: research_field
      dtype: string
    - name: risks_and_limitations
      dtype: string
    - name: risk_types
      dtype: string
    - name: publication_date
      dtype: string
    - name: organization_and_url
      dtype: string
    - name: institution_type
      dtype: float64
    - name: country
      dtype: string
    - name: license
      dtype: string
    - name: paper_name_url
      dtype: string
    - name: model_description
      dtype: string
    - name: organization_info
      dtype: string
  splits:
    - name: main
      num_bytes: 82323
      num_examples: 35
  download_size: 52749
  dataset_size: 82323
configs:
  - config_name: default
    data_files:
      - split: main
        path: data/main-*

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: Spaces
• Repository: GitHub
• Paper: None
• Leaderboard: None
• Point of Contact: [email protected]

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

Columns 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

Columns 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 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!