Datasets › VANiLLa

VANiLLa

Introduced by Debanjali Biswas et al. in VANiLLa : Verbalized Answers in Natural Language at Large Scale24 May 2021 archive 2025-07-28

VANiLLa is a dataset for Question Answering over Knowledge Graphs (KGQA) offering answers in natural language sentences. The answer sentences in this dataset are syntactically and semantically closer to the question than to the triple fact. The dataset consists of over 100k simple questions adapted from the CSQA and SimpleQuestionsWikidata datasets and generated using a semi-automatic framework.

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Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 4 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Knowledge Base Question Answering

License archive 2025-07-28

CC BY 4.0

Modalities archive 2025-07-28

Texts

Languages archive 2025-07-28

English

Variants archive 2025-07-28

VANiLLa

1 variant name, as the archive lists them.

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