README.md

metadata

annotations_creators:
  - expert-generated
language_creators:
  - expert-generated
language:
  - en
license:
  - cc-by-nc-4.0
multilinguality:
  - monolingual
size_categories:
  - 100K<n<1M
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - question-answering
task_ids:
  - open-domain-qa
paperswithcode_id: null
pretty_name: Cryptonite
configs:
  - cryptonite
  - default
dataset_info:
  - config_name: default
    features:
      - name: agent_info
        sequence:
          - name: Bottomline
            dtype: string
          - name: Role
            dtype: string
          - name: Target
            dtype: float32
      - name: agent_turn
        sequence: int32
      - name: dialogue_acts
        sequence:
          - name: intent
            dtype: string
          - name: price
            dtype: float32
      - name: utterance
        sequence: string
      - name: items
        sequence:
          - name: Category
            dtype: string
          - name: Images
            dtype: string
          - name: Price
            dtype: float32
          - name: Description
            dtype: string
          - name: Title
            dtype: string
    splits:
      - name: train
        num_bytes: 8538836
        num_examples: 5247
      - name: test
        num_bytes: 1353933
        num_examples: 838
      - name: validation
        num_bytes: 966032
        num_examples: 597
    download_size: 25373618
    dataset_size: 10858801
  - config_name: cryptonite
    features:
      - name: clue
        dtype: string
      - name: answer
        dtype: string
      - name: enumeration
        dtype: string
      - name: publisher
        dtype: string
      - name: date
        dtype: int64
      - name: quick
        dtype: bool
      - name: id
        dtype: string
    splits:
      - name: train
        num_bytes: 52228597
        num_examples: 470804
      - name: validation
        num_bytes: 2901768
        num_examples: 26156
      - name: test
        num_bytes: 2908275
        num_examples: 26157
    download_size: 21615952
    dataset_size: 58038640

Dataset Card for Cryptonite

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: Github
• Repository: Github
• Paper: Arxiv
• Leaderboard:
• Point of Contact: Twitter

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.

{
  '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 for adding this dataset.