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Dataset Card for "scan"

Dataset Summary

SCAN tasks with various splits.

SCAN is a set of simple language-driven navigation tasks for studying compositional learning and zero-shot generalization.

See https://github.com/brendenlake/SCAN for a description of the splits.

Example usage: data = datasets.load_dataset('scan/length')

Supported Tasks and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

addprim_jump

  • Size of downloaded dataset files: 18.69 MB
  • Size of the generated dataset: 4.05 MB
  • Total amount of disk used: 22.73 MB

An example of 'train' looks as follows.


addprim_turn_left

  • Size of downloaded dataset files: 18.69 MB
  • Size of the generated dataset: 4.09 MB
  • Total amount of disk used: 22.76 MB

An example of 'train' looks as follows.


filler_num0

  • Size of downloaded dataset files: 18.69 MB
  • Size of the generated dataset: 2.85 MB
  • Total amount of disk used: 21.53 MB

An example of 'train' looks as follows.


filler_num1

  • Size of downloaded dataset files: 18.69 MB
  • Size of the generated dataset: 3.14 MB
  • Total amount of disk used: 21.82 MB

An example of 'train' looks as follows.


filler_num2

  • Size of downloaded dataset files: 18.69 MB
  • Size of the generated dataset: 3.44 MB
  • Total amount of disk used: 22.12 MB

An example of 'train' looks as follows.


Data Fields

The data fields are the same among all splits.

addprim_jump

  • commands: a string feature.
  • actions: a string feature.

addprim_turn_left

  • commands: a string feature.
  • actions: a string feature.

filler_num0

  • commands: a string feature.
  • actions: a string feature.

filler_num1

  • commands: a string feature.
  • actions: a string feature.

filler_num2

  • commands: a string feature.
  • actions: a string feature.

Data Splits

name train test
addprim_jump 14670 7706
addprim_turn_left 21890 1208
filler_num0 15225 1173
filler_num1 16290 1173
filler_num2 17391 1173

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed

Annotations

Annotation process

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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

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Other Known Limitations

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Additional Information

Dataset Curators

More Information Needed

Licensing Information

More Information Needed

Citation Information

@inproceedings{Lake2018GeneralizationWS,
  title={Generalization without Systematicity: On the Compositional Skills of
         Sequence-to-Sequence Recurrent Networks},
  author={Brenden M. Lake and Marco Baroni},
  booktitle={ICML},
  year={2018},
  url={https://arxiv.org/pdf/1711.00350.pdf},
}

Contributions

Thanks to @lewtun, @patrickvonplaten, @mariamabarham, @thomwolf for adding this dataset.

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