SJTUTables is a benchmark dataset collection designed for Relational Table Learning (RTL). Released as part of the rLLM project, it includes three enhanced relational table datasets: TML1M, TLF2K, and TACM12K. Derived from well-known classical datasets, each dataset is paired with a standard classification task. Their simple, easy-to-use, and well-organized structure makes them an ideal choice for quickly evaluating and… See the full description on the dataset page:
https://huggingface.co/datasets/rllm-team/sjtutables.
