This repository contains the NarrativeQA dataset. It includes the list of documents with Wikipedia summaries, links to full stories, and questions and answers.

For a detailed description of this see the paper The NarrativeQA Reading Comprehension Challenge. Please cite the paper if you use this corpus in your work.

• documents.csv - contains document_id, set, kind, story_url, story_file_size, wiki_url, wiki_title, story_word_count, story_start, story_end. The word count is approximate after some basic cleanup and tokenization.
• third_party/wikipedia/summaries.csv - contains document_id, set, summary, summary_tokenized. The summaries are from Wikipedia.
• qaps.csv - contains document_id, set, question, answer1, answer2, question_tokenized, answer1_tokenized, answer2_tokenized.
• download_stories.sh - script to download the stories.
• compare.sh - compare downloaded story's file size to the document size we had. (At the time of publication, all stories have <3.5% file difference (except one), likely due to punctuation encoding.)

@article{narrativeqa,
author = {Tom\'a\v s Ko\v cisk\'y and Jonathan Schwarz and Phil Blunsom and
          Chris Dyer and Karl Moritz Hermann and G\'abor Melis and
          Edward Grefenstette},
title = {The {NarrativeQA} Reading Comprehension Challenge},
journal = {Transactions of the Association for Computational Linguistics},
url = {https://TBD},
volume = {TBD},
year = {2018},
pages = {TBD},
}

The following table is necessary for this dataset to be indexed by search engines such as Google Dataset Search.