https://github.com/google-research/mseb

https://github.com/google-research/mseb

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (2.3%) to scientific vocabulary
Last synced: 4 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: google-research
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 4.64 MB
Statistics
  • Stars: 16
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 10 months ago · Last pushed 4 months ago
Metadata Files
Readme Changelog Contributing License

README.md

Massive Sound Embedding Benchmark (MSEB)

Unittests PyPI version

This is not an officially supported Google product.

The Massive Sound Embedding Benchmark (MSEB) provides a framework for assessing sound embedding methods across diverse sound categories and tasks that leverage improved sound representations.

Owner

  • Name: Google Research
  • Login: google-research
  • Kind: organization
  • Location: Earth

GitHub Events

Total
  • Watch event: 4
  • Delete event: 124
  • Issue comment event: 67
  • Member event: 2
  • Push event: 364
  • Pull request event: 247
  • Create event: 116
Last Year
  • Watch event: 4
  • Delete event: 124
  • Issue comment event: 67
  • Member event: 2
  • Push event: 364
  • Pull request event: 247
  • Create event: 116

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 4
  • Total pull requests: 143
  • Average time to close issues: about 15 hours
  • Average time to close pull requests: about 9 hours
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.4
  • Merged pull requests: 78
  • Bot issues: 4
  • Bot pull requests: 143
Past Year
  • Issues: 4
  • Pull requests: 143
  • Average time to close issues: about 15 hours
  • Average time to close pull requests: about 9 hours
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.4
  • Merged pull requests: 78
  • Bot issues: 4
  • Bot pull requests: 143
Top Authors
Issue Authors
  • copybara-service[bot] (4)
Pull Request Authors
  • copybara-service[bot] (143)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

.github/workflows/pytest_and_autopublish.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v5 composite
  • etils-actions/pypi-auto-publish v1 composite
pyproject.toml pypi
  • absl-py *
  • flax >=0.8.2
  • librosa *
  • numpy *
  • openai-whisper *
  • pyarrow *