--- annotations_creators: - expert-generated language_creators: - expert-generated languages: - en licenses: - cc-by-nc-4-0 multilinguality: - monolingual size_categories: - n<1K source_datasets: - original task_categories: - question-answering task_ids: - open-domain-qa --- # Dataset Card for Cryptonite ## Table of Contents - [Dataset Card for Cryptonite](#dataset-card-for-cryptonite) - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization) - [Who are the source language producers?](#who-are-the-source-language-producers) - [Annotations](#annotations) - [Annotation process](#annotation-process) - [Who are the annotators?](#who-are-the-annotators) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:** [Github](https://github.com/aviaefrat/cryptonite) - **Repository:** [Github](https://github.com/aviaefrat/cryptonite) - **Paper:** [Arxiv](https://arxiv.org/pdf/2103.01242.pdf) - **Leaderboard:** - **Point of Contact:** [Twitter](https://twitter.com/AviaEfrat) ### Dataset Summary Current NLP datasets targeting ambiguity can be solved by a native speaker with relative ease. We present Cryptonite, a large-scale dataset based on cryptic crosswords, which is both linguistically complex and naturally sourced. Each example in Cryptonite is a cryptic clue, a short phrase or sentence with a misleading surface reading, whose solving requires disambiguating semantic, syntactic, and phonetic wordplays, as well as world knowledge. Cryptic clues pose a challenge even for experienced solvers, though top-tier experts can solve them with almost 100% accuracy. Cryptonite is a challenging task for current models; fine-tuning T5-Large on 470k cryptic clues achieves only 7.6% accuracy, on par with the accuracy of a rule-based clue solver (8.6%). ### Languages English ## Dataset Structure ### Data Instances This is one example from the train set. ```python { 'clue': 'make progress socially in stated region (5)', 'answer': 'climb', 'date': 971654400000, 'enumeration': '(5)', 'id': 'Times-31523-6across', 'publisher': 'Times', 'quick': False } ``` ### Data Fields - `clue`: a string representing the clue provided for the crossword - `answer`: a string representing the answer to the clue - `enumeration`: a string representing the - `publisher`: a string representing the publisher of the crossword - `date`: a int64 representing the UNIX timestamp of the date of publication of the crossword - `quick`: a bool representing whether the crossword is quick (a crossword aimed at beginners, easier to solve) - `id`: a string to uniquely identify a given example in the dataset ### Data Splits Train (470,804 examples), validation (26,156 examples), test (26,157 examples). ## Dataset Creation ### Curation Rationale Crosswords from the Times and the Telegraph. ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators Avia Efrat, Uri Shaham, Dan Kilman, Omer Levy ### Licensing Information `cc-by-nc-4.0` ### Citation Information ``` @misc{efrat2021cryptonite, title={Cryptonite: A Cryptic Crossword Benchmark for Extreme Ambiguity in Language}, author={Avia Efrat and Uri Shaham and Dan Kilman and Omer Levy}, year={2021}, eprint={2103.01242}, archivePrefix={arXiv}, primaryClass={cs.CL} } ``` ### Contributions Thanks to [@theo-m](https://github.com/theo-m) for adding this dataset.