ACL Findings2023
Open-WikiTable : Dataset for Open Domain Question Answering with Complex Reasoning over Table
Sunjun Kweon, Yeonsu Kwon, Seonhee Cho, Yohan Jo, Edward Choi
Abstract
Despite recent interest in open domain question answering (ODQA) over tables, many studies still rely on datasets that are not truly optimal for the task with respect to utilizing structural nature of table. These datasets assume answers reside as a single cell value and do not necessitate exploring over multiple cells such as aggregation, comparison, and sorting. Thus, we release Open-WikiTable, the first ODQA dataset that requires complex reasoning over tables. Open-WikiTable is built upon Wik-iSQL and WikiTableQuestions to be applicable in the open-domain setting. As each question is coupled with both textual answers and SQL queries, Open-WikiTable opens up a wide range of possibilities for future research, as both reader and parser methods can be applied. The dataset and code are publicly available 1 .
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Cited by top-tier papers18
- OpenTab: Advancing Large Language Models as Open-domain Table ReasonersKezhi Kong, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan et al.ICLR 2024 · 40 citations
- MT-RAIG: Novel Benchmark and Evaluation Framework for Retrieval-Augmented Insight Generation over Multiple TablesKwangwook Seo, Donguk Kwon, Dongha LeeACL 2025 · 8 citations
- BIRDIE: Natural Language-Driven Table Discovery Using Differentiable Search IndexYuxiang Guo, Zhonghao Hu, Yuren Mao, Baihua Zheng et al.VLDB 2025 · 6 citations
- ReAlign: Optimizing the Visual Document Retriever with Reasoning-Guided Fine-Grained AlignmentHao Yang, Yifan Ji, Zhipeng Xu, Zhenghao Liu et al.SIGIR 2026 · 4 citations
- Empowering Tabular Data Preparation with Language Models: Why and How?Mengshi Chen, Yuxiang Sun, Tengchao Li, Jianwei Wang et al.ACL 2026 · 4 citations
Builds on5
- Dense Passage Retrieval for Open-Domain Question AnsweringVladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick Lewis et al.EMNLP 2020 · 142 citations
- Open Question Answering over Tables and TextWenhu Chen, Ming-Wei Chang, Eva Schlinger, William Yang Wang et al.ICLR 2021 · 76 citations
- On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL QueriesTianze Shi, Chen Zhao, Jordan L. Boyd-Graber, Hal Daumé III et al.EMNLP Findings 2020 · 45 citations
- Web Table Retrieval using Multimodal Deep LearningRoee Shraga, Haggai Roitman, Guy Feigenblat, Mustafa CanimSIGIR 2020 · 45 citations
- TaPas: Weakly Supervised Table Parsing via Pre-trainingJonathan Herzig, Pawel Krzysztof Nowak, Thomas Müller, Francesco Piccinno et al.ACL 2020 · 19 citations
Related papers
- Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question AnsweringAlexander Hanbo Li, Patrick Ng, Peng Xu, Henghui Zhu et al.ACL 2021
- HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual DataWenhu Chen, Hanwen Zha, Zhiyu Chen, Wenhan Xiong et al.EMNLP Findings 2020 · 205 citations
- TempTabQA: Temporal Question Answering for Semi-Structured TablesVivek Gupta, Pranshu Kandoi, Mahek Bhavesh Vora, Shuo Zhang et al.EMNLP 2023 · 4 citations
- IM-TQA: A Chinese Table Question Answering Dataset with Implicit and Multi-type Table StructuresMingyu Zheng, Yang Hao, Wenbin Jiang, Zheng Lin et al.ACL 2023 · 2 citations
- INFOTABS: Inference on Tables as Semi-structured DataVivek Gupta, Maitrey Mehta, Pegah Nokhiz, Vivek SrikumarACL 2020
