Dataset: cfq


Dataset Card for "cfq"

Table of Contents

Dataset Description

Dataset Summary

The CFQ dataset (and it's splits) for measuring compositional generalization.

See https://arxiv.org/abs/1912.09713.pdf for background.

Example usage: data = datasets.load_dataset('cfq/mcd1')

Supported Tasks

More Information Needed

Languages

More Information Needed

Dataset Structure

We show detailed information for up to 5 configurations of the dataset.

Data Instances

mcd1

  • Size of downloaded dataset files: 255.20 MB
  • Size of the generated dataset: 40.91 MB
  • Total amount of disk used: 296.11 MB

An example of 'train' looks as follows.

{
    "query": "SELECT /producer M0 . /director M0 . ",
    "question": "Who produced and directed M0?"
}

mcd2

  • Size of downloaded dataset files: 255.20 MB
  • Size of the generated dataset: 42.70 MB
  • Total amount of disk used: 297.91 MB

An example of 'train' looks as follows.

{
    "query": "SELECT /producer M0 . /director M0 . ",
    "question": "Who produced and directed M0?"
}

mcd3

  • Size of downloaded dataset files: 255.20 MB
  • Size of the generated dataset: 41.58 MB
  • Total amount of disk used: 296.78 MB

An example of 'train' looks as follows.

{
    "query": "SELECT /producer M0 . /director M0 . ",
    "question": "Who produced and directed M0?"
}

query_complexity_split

  • Size of downloaded dataset files: 255.20 MB
  • Size of the generated dataset: 43.82 MB
  • Total amount of disk used: 299.02 MB

An example of 'train' looks as follows.

{
    "query": "SELECT /producer M0 . /director M0 . ",
    "question": "Who produced and directed M0?"
}

query_pattern_split

  • Size of downloaded dataset files: 255.20 MB
  • Size of the generated dataset: 43.98 MB
  • Total amount of disk used: 299.19 MB

An example of 'train' looks as follows.

{
    "query": "SELECT /producer M0 . /director M0 . ",
    "question": "Who produced and directed M0?"
}

Data Fields

The data fields are the same among all splits.

mcd1

  • question: a string feature.
  • query: a string feature.

mcd2

  • question: a string feature.
  • query: a string feature.

mcd3

  • question: a string feature.
  • query: a string feature.

query_complexity_split

  • question: a string feature.
  • query: a string feature.

query_pattern_split

  • question: a string feature.
  • query: a string feature.

Data Splits Sample Size

name train test
mcd1 95743 11968
mcd2 95743 11968
mcd3 95743 11968
query_complexity_split 100654 9512
query_pattern_split 94600 12589

Dataset Creation

Curation Rationale

More Information Needed

Source Data

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Annotations

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

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Additional Information

Dataset Curators

More Information Needed

Licensing Information

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Citation Information


@inproceedings{Keysers2020,
  title={Measuring Compositional Generalization: A Comprehensive Method on
         Realistic Data},
  author={Daniel Keysers and Nathanael Sch"{a}rli and Nathan Scales and
          Hylke Buisman and Daniel Furrer and Sergii Kashubin and
          Nikola Momchev and Danila Sinopalnikov and Lukasz Stafiniak and
          Tibor Tihon and Dmitry Tsarkov and Xiao Wang and Marc van Zee and
          Olivier Bousquet},
  booktitle={ICLR},
  year={2020},
  url={https://arxiv.org/abs/1912.09713.pdf},
}

Models trained or fine-tuned on cfq

None yet