# Open-WikiTable: Dataset for Open Domain Question Answering with Complex Reasoning over Table

Source: [Open-WikiTable: Dataset for Open Domain Question Answering with Complex Reasoning over Table](<https://www.sota2.com/research/paper/68fa6f581e209131cea45240>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-01-01T17:04:34.451Z

Authors: Sunjun Kweon, Yeonsu Kwon, Seonhee Cho, Yohan Jo, Edward Choi

Published: 2023-05-12T07:24:16.000Z

## 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 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.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2305.07288>)

[PDF](<https://arxiv.org/pdf/2305.07288.pdf>)

[Implementation](<https://github.com/sean0042/Open_WikiTable>)