TABERTA: A Language Model for Dataset Discovery
TABERTA is presented, a unified retrieval framework for dataset discovery that adapts a bi-encoder language model to relational data by fine-tuning it on serialized representations of tables by fine-tuning the language encoder to diverse structural patterns using optimized strategies that serialize schema and table con...