wenhu/hybrid_qa
Existing question answering datasets focus on dealing with homogeneous information, based either only on text or KB/Table information alone. However, as human knowledge is distributed over heterogeneous forms, using homogeneous information alone might lead to severe coverage problems. To fill in the gap, we present HybridQA, a new large-scale question-answering dataset that requires reasoning on heterogeneous information. Each question is aligned with a Wikipedia table and multiple free-form corpora linked with the entities in the table. The questions are designed to aggregate both tabular inf
| Author / organization | wenhu |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 1.5K (as reported by Hugging Face) |
| Likes | 4 |
| Created | 2 March 2022 |
| Last updated at source | 18 December 2023 |
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