Datasets:
cryptonite

Error code:   InfoError
Exception:    HfHubHTTPError
Message:      502 Server Error: Bad Gateway for url: https://huggingface.co/api/datasets/cryptonite
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 210, in compute_first_rows_from_streaming_response
                  info = get_dataset_config_info(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 477, in get_dataset_config_info
                  builder = load_dataset_builder(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 2220, in load_dataset_builder
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1871, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1816, in dataset_module_factory
                  raise e
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1790, in dataset_module_factory
                  dataset_info = hf_api.dataset_info(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
                  return fn(*args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 2148, in dataset_info
                  hf_raise_for_status(r)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_errors.py", line 333, in hf_raise_for_status
                  raise HfHubHTTPError(str(e), response=response) from e
              huggingface_hub.utils._errors.HfHubHTTPError: 502 Server Error: Bad Gateway for url: https://huggingface.co/api/datasets/cryptonite

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Dataset Card for Cryptonite

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.

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