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Dataset Card for "cfq"

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits Sample Size
• 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

Dataset Description

• Homepage: https://github.com/google-research/google-research/tree/master/cfq
• Repository: More Information Needed
• Paper: More Information Needed
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 2041.62 MB
• Size of the generated dataset: 345.30 MB
• Total amount of disk used: 2386.92 MB

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

More Information Needed

Annotations

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

More Information Needed

Licensing Information

More Information Needed

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},
}