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Datasets:
katebor
/
TableEval

Tasks:
Table Question Answering
Table to Text
Modalities:
Image
Languages:
English
Size:
1K<n<10K
ArXiv:
License:
Dataset card Data Studio Files
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  # TableEval dataset
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  **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.
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  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**.
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  The scienfific subset includes tables from pre-prints and peer-reviewed scholarly publications, while the non-scientific subset involves tables from Wikipedia and financial reports.
 
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  # TableEval dataset
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+ [![GitHub](https://img.shields.io/badge/GitHub-000000?style=flat&logo=github&logoColor=white)](https://github.com/esborisova/TableEval-Study)
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+ [![PDF](https://img.shields.io/badge/PDF-red)](https://openreview.net/pdf?id=umbMEwiTtq)
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  **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.
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  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**.
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  The scienfific subset includes tables from pre-prints and peer-reviewed scholarly publications, while the non-scientific subset involves tables from Wikipedia and financial reports.