rllm-team/sjtutables
SJTUTables: A Benchmark for Relational Table Learning 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.
| Author / organization | rllm-team |
|---|---|
| License (as declared) | mit |
| Downloads | 191 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 21 August 2024 |
| Last updated at source | 16 December 2024 |
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