3 datasets found

Tags: complex

Filter Results

  • RuBQ 2.0

    The RuBQ 2.0 dataset is a large-scale, complex, and natural dataset for end-to-end question answering, composed of 10,000 question-answer pairs.

  • LC-QuAD 2.0

    The dataset used for training and testing the MST5 model, which consists of natural language questions paired with their corresponding Wikidata SPARQL queries.

  • Mintaka

    The Mintaka dataset is a large-scale, complex, and natural dataset for end-to-end question answering, composed of 20,000 question-answer pairs.
You can also access this registry using the API (see API Docs).