Towards metadata for machine learning - Crosswalk tables

التفاصيل البيبلوغرافية
العنوان: Towards metadata for machine learning - Crosswalk tables
المؤلفون: Castro, Leyla Jael, Beuttenmüller, Fynn, Chen, Zongxiong, Efeoglu, Sefika, Garijo, Daniel, Psomopoulos, Fotis, Serrano-Solano, Beatriz, Shiferaw, Kirubel Biruk, Solanki, Dhwani, Wentzel, Bianca, Zhang, Yue
بيانات النشر: Zenodo
سنة النشر: 2023
المجموعة: Zenodo
الوصف: Crosswalks for Machine Learning models and datasets used for training Here we present a collection of crosswalks for ML models (in TSV and XLSX formats) and datasets used for training (in TSV and XLSX formats). These crosswalks were created during an NFDI4DataScience hackathon organized by the Semantic Technologies team (SemTec) at ZB MED Information Centre for Life Sciences (ZB MED) with the aim of provindg a starting point for a common proposal towards a metadata schema for ML models based on schema.org . Files 2023.11.23 Metadata for ML - ML dataset Union.tsv: Crosswalks for datasets in TSV format 2023.11.23 Metadata for ML - ML dataset Union.xlsx: Crosswalks for datasets in XLSX format 2023.11.23 Metadata for ML - ML model union.tsv: Crosswalks for ML models in TSV format 2023.11.23 Metadata for ML - ML model union.xlsx: Crosswalks for ML models in XLSX format
نوع الوثيقة: other/unknown material
اللغة: unknown
Relation: https://zenodo.org/communities/zbmed-semtec; https://zenodo.org/communities/nfdi4ds; https://doi.org/10.5281/zenodo.10407319; https://doi.org/10.5281/zenodo.10407320; oai:zenodo.org:10407320
DOI: 10.5281/zenodo.10407320
الاتاحة: https://doi.org/10.5281/zenodo.10407320
Rights: info:eu-repo/semantics/openAccess ; Creative Commons Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0/legalcode
رقم الانضمام: edsbas.63EA2920
قاعدة البيانات: BASE