https://github.com/google-deepmind/narrativeqa
This repository contains the NarrativeQA dataset. It includes the list of documents with Wikipedia summaries, links to full stories, and questions and answers.
Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (8.6%) to scientific vocabulary
Repository
This repository contains the NarrativeQA dataset. It includes the list of documents with Wikipedia summaries, links to full stories, and questions and answers.
Basic Info
Statistics
- Stars: 477
- Watchers: 23
- Forks: 67
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
The NarrativeQA Reading Comprehension Challenge Dataset
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.
Files
- documents.csv - contains documentid, set, kind, storyurl, storyfilesize, wikiurl, wikititle, storywordcount, storystart, storyend. The word count is approximate after some basic cleanup and tokenization.
- thirdparty/wikipedia/summaries.csv - contains documentid, set, summary, summary_tokenized. The summaries are from Wikipedia.
- qaps.csv - contains documentid, set, question, answer1, answer2, questiontokenized, answer1tokenized, answer2tokenized.
- 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.)
Bibtex
@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},
}
Dataset Metadata
The following table is necessary for this dataset to be indexed by search engines such as Google Dataset Search.
| property | value | ||||||
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| name | The NarrativeQA Reading Comprehension Challenge Dataset |
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| alternateName | NarrativeQA |
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| url | https://github.com/deepmind/narrativeqa |
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| sameAs | https://github.com/deepmind/narrativeqa |
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| description | This repository contains the NarrativeQA dataset. It includes the list of
documents with Wikipedia summaries, links to full stories, and questions and answers. |
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| provider |
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| license |
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| citation | https://identifiers.org/arxiv:1712.07040 |
Owner
- Name: Google DeepMind
- Login: google-deepmind
- Kind: organization
- Website: https://www.deepmind.com/
- Repositories: 245
- Profile: https://github.com/google-deepmind
GitHub Events
Total
- Watch event: 35
- Fork event: 2
Last Year
- Watch event: 35
- Fork event: 2
Committers
Last synced: 10 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Philip Pham | p****m@g****m | 1 |
| Chris Gorgolewski | k****i@g****m | 1 |
| Amanpreet Singh | a****l@g****m | 1 |
| Tomas Kocisky | t****y@g****m | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 0
- Total pull requests: 3
- Average time to close issues: N/A
- Average time to close pull requests: 4 months
- Total issue authors: 0
- Total pull request authors: 3
- Average comments per issue: 0
- Average comments per pull request: 2.67
- Merged pull requests: 3
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
- ppham27 (1)
- chrisgorgo (1)
- apsdehal (1)