Update README.md

README.md

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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**. 
 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. 
 Each table is available as a **PNG** image and in four textual formats: **HTML**, **XML**, **LaTeX**, and **Dictionary (Dict)**. 
-All task annotations are taken from the source datasets.
+All task annotations are taken from the source datasets. Please, refer to the [Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data](https://openreview.net/pdf?id=umbMEwiTtq) paper for more details.
 
 
 ## Overview and statistics