TRL-Bench is a new multi-granular benchmark that releases 50 OpenML tables, linkage tasks, and a 47k-table data lake to show that tabular encoder performance is capability-specific rather than captured by one leaderboard.
SemTab 2019: Resources to benchmark tabular data to knowledge graph matching systems
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TRL-Bench: Standardizing Cross-Paradigm Representation-Level Evaluation of Tabular Encoders
TRL-Bench is a new multi-granular benchmark that releases 50 OpenML tables, linkage tasks, and a 47k-table data lake to show that tabular encoder performance is capability-specific rather than captured by one leaderboard.