katebor/TableEval

TableEval dataset TableEval is developed to benchmark and compare the performance of (M)LLMs on tables from scientific vs. non-scientific sources, represented as images vs. text. It comprises six data subsets derived from the test sets of existing benchmarks for question answering (QA) and table-to-text (T2T) tasks, containing a total of 3017 tables and 11312 instances. The scienfific subset includes tables from pre-prints and peer-reviewed scholarly publications, while the… See the full description on the dataset page: https://huggingface.co/datasets/katebor/TableEval.