TempQA-WD

Dataset Information
Modalities
Texts
Introduced
2022
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Overview

TempQA-WD is a benchmark dataset for temporal reasoning designed to encourage research in extending the present approaches to target a more challenging set of complex reasoning tasks. Specifically, the benchmark is a temporal question answering dataset with the following advantages: (a) it is based on Wikidata, which is the most frequently curated, openly available knowledge base, (b) it includes intermediate sparql queries to facilitate the evaluation of semantic parsing based approaches for KBQA, and (c) it generalizes to multiple knowledge bases: Freebase and Wikidata.

Variants: TempQA-WD

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Question Answering SYGMA SYGMA: System for Generalizable Modular … 2021-09-28

Research Papers

Recent papers with results on this dataset: