FairytaleQA

Dataset Information
Modalities
Texts
Introduced
2022
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Overview

FairytaleQA is a dataset focusing on narrative comprehension of kindergarten to eighth-grade students. Annotated by educational experts based on an evidence-based theoretical framework, FairytaleQA consists of 10,580 explicit and implicit questions derived from 278 children-friendly story narratives, covering seven types of narrative elements or relations. It can support narrative Question Generation (QG) and Narrative Question Answering (QA) tasks.

Variants: FairytaleQA

Associated Benchmarks

This dataset is used in 2 benchmarks:

Recent Benchmark Submissions

Task Model Paper Date
Question Answering BART fine-tuned on FairytaleQA Fantastic Questions and Where to … 2022-03-26
Question Answering BART fine-tuned on NarrativeQA Fantastic Questions and Where to … 2022-03-26
Question Answering BART Fantastic Questions and Where to … 2022-03-26
Question Answering DistilBERT Fantastic Questions and Where to … 2022-03-26
Question Generation BART fine-tuned on FairytaleQA Fantastic Questions and Where to … 2022-03-26
Question Generation BART fine-tuned on NarrativeQA and FairytaleQA Fantastic Questions and Where to … 2022-03-26
Question Generation BART fine-tuned on NarrativeQA Fantastic Questions and Where to … 2022-03-26

Research Papers

Recent papers with results on this dataset: