https://github.com/cwida/fastlanes_data

https://github.com/cwida/fastlanes_data

Science Score: 26.0%

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  • Scientific vocabulary similarity
    Low similarity (9.4%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: cwida
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 1.3 GB
Statistics
  • Stars: 1
  • Watchers: 3
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed about 1 year ago
Metadata Files
Readme License

README.md

FastLanes_Data

FastLanes_Data is a collection of benchmark datasets and utility scripts designed to streamline performance testing and analysis of the FastLanes file format. It brings together real-world and synthetic datasets to test FastLanes in all cases.

Datasets

  • NextiaJD:
  • public_bi: Sample of public BI dataset.
  • issues/cwida/alp/37: Data extracted for issue #37 in the ALP project.

Requirements

  • Python: Version 3.8 or higher
  • Bash: For shell-based export scripts
  • Optional: Any additional dependencies listed in requirements.txt (if present)

Export the data directory using the provided script:

bash source scripts/export_fastlanes_data_dir.sh /path/to/your/data

This sets the $FASTLANES_DATA_DIR environment variable to the root path of your datasets.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

Come talk to us if you like FastLanes or Data!

Discord

Owner

  • Name: CWI Database Architectures Group
  • Login: cwida
  • Kind: organization
  • Location: Amsterdam, The Netherlands

GitHub Events

Total
  • Delete event: 15
  • Push event: 42
  • Pull request event: 26
  • Fork event: 1
  • Create event: 12
Last Year
  • Delete event: 15
  • Push event: 42
  • Pull request event: 26
  • Fork event: 1
  • Create event: 12

Dependencies

.github/workflows/csv_size_report.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
  • actions/upload-artifact v4 composite