AIT-QA (Airline Industry Table QA)
Introduced by Katsis et al. in AIT-QA: Question Answering Dataset over Complex Tables in the Airline Industry
AIT-QA is a dataset for Table Question Answering (Table-QA) which is specific to the airline industry. The dataset consists of 515 questions authored by human annotators on 116 tables extracted from public U.S. SEC filings of major airline companies for the fiscal years 2017-2019. It also contains annotations pertaining to the nature of questions, marking those that require hierarchical headers, domain-specific terminology, and paraphrased forms.
Different from the Table QA dataset, the tables in this dataset have more complex layouts.
Papers
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