HyperAI

KVQA Question Answering Dataset

特色图像

KVQA, short for Knowledge-aware VQA, is a dataset about question answering. The dataset contains 183,000 manually verified question-answer pairs involving more than 18,000 people and 24,000 images. The questions in the dataset require multi-entity, multi-relation, and multi-hop reasoning on KG to find answers.

To enable visual named entity linking, it also provides a support set containing 69,000 reference images of people collected from Wikidata.

KVQA.torrent
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  • KVQA/
    • README.md
      1.2 KB
    • README.txt
      2.39 KB
      • data/
        • KVQAimgs.tar.gz
          24.18 GB
        • KVQAkgFacts.tar.gz
          24.18 GB
        • KVQArefImgs.tar.gz
          84.42 GB
        • dataset.json
          84.45 GB
        • updates.txt
          84.45 GB