Datasets:
cryptonite

Tasks:

Question Answering

Sub-tasks: open-domain-qa

Languages: English

Multilinguality: monolingual

Size Categories: 100K<n<1M 1K<n<10K

Language Creators: expert-generated

Annotations Creators: expert-generated

Source Datasets: original

ArXiv:

License: cc-by-nc-4.0

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The dataset preview is not available for this split.

Cannot load the dataset split (in streaming mode) to extract the first rows.

Error code:   StreamingRowsError
Exception:    KeyError
Message:      "There is no item named 'cryptonite-official-split/cryptonite-train.jsonl' in the archive"
Traceback:    Traceback (most recent call last):
                File "/src/workers/datasets_based/src/datasets_based/workers/first_rows.py", line 485, in compute_first_rows_response
                  rows = get_rows(
                File "/src/workers/datasets_based/src/datasets_based/workers/first_rows.py", line 120, in decorator
                  return func(*args, **kwargs)
                File "/src/workers/datasets_based/src/datasets_based/workers/first_rows.py", line 176, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 917, in __iter__
                  for key, example in ex_iterable:
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 113, in __iter__
                  yield from self.generate_examples_fn(**self.kwargs)
                File "/tmp/modules-cache/datasets_modules/datasets/cryptonite/cbfa41745107a1b1f80c74f2d59bd2be216f003356f86ee4a6a11387e07080c6/cryptonite.py", line 112, in _generate_examples
                  with open(filepath, encoding="utf-8") as f:
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/streaming.py", line 70, in wrapper
                  return function(*args, use_auth_token=use_auth_token, **kwargs)
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 495, in xopen
                  file_obj = fsspec.open(file, mode=mode, *args, **kwargs).open()
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/core.py", line 134, in open
                  return self.__enter__()
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/core.py", line 102, in __enter__
                  f = self.fs.open(self.path, mode=mode)
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 1135, in open
                  f = self._open(
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/fsspec/implementations/zip.py", line 106, in _open
                  out = self.zip.open(path, mode.strip("b"))
                File "/usr/local/lib/python3.9/zipfile.py", line 1511, in open
                  zinfo = self.getinfo(name)
                File "/usr/local/lib/python3.9/zipfile.py", line 1438, in getinfo
                  raise KeyError(
              KeyError: "There is no item named 'cryptonite-official-split/cryptonite-train.jsonl' in the archive"

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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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