Open-WikiTable: Dataset for Open Domain Question Answering with Complex Reasoning over Table
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Abstract (arXiv)
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 WikiSQL 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.
Key facts. Cited by 40 papers in the map (data through 7 Oct 2026). Builds on 16 of its 21 references that are in the map. First posted on arXiv 12 May 2023.
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16 of 21 references.
References · 16
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
- 2020Dense Passage Retrieval for Open-Domain Question Answeringcited by 3,779
- 2020Leveraging Passage Retrieval with Generative Models for Open Domain Question Answeringcited by 1,203
- 2018Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Taskcited by 1,120
- 2017Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learningcited by 679
- 2015Compositional Semantic Parsing on Semi-Structured Tablescited by 509
- 2020TAPAS: Weakly Supervised Table Parsing via Pre-trainingcited by 432
- 2020Open Question Answering over Tables and Textcited by 163
- 2018Style Transfer Through Back-Translationcited by 124
- 2021Decontextualization: Making Sentences Stand-Alonecited by 101
- 2021Open Domain Question Answering over Tables via Dense Retrievalcited by 74
4 more
- 2020On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queriescited by 59
- 2021Multi-modal Retrieval of Tables and Texts Using Tri-encoder Modelscited by 11
- 2022Table Retrieval May Not Necessitate Table-specific Model Designcited by 11
- 2021CLTR: An End-to-End, Transformer-Based System for Cell Level Table Retrieval and Table Question Answeringcited by 9
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Citing papers per year: 2023: 1; 2024: 8; 2025: 22; 2026: 9.
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12 most cited of 25 All 25 (JSON)
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- 2026ReCoQA: A Benchmark for Tool-Augmented and Multi-Step Reasoning in Real Estate Question and Answering20 Apr 2026
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- 2026DeALOG: Decentralized Multi-Agents Log-Mediated Reasoning Framework1 Feb 2026
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12 newest of 25 All 25 (JSON)