Dataset Card for "cfq"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional 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
Languages
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: astringfeature.query: astringfeature.
mcd2
question: astringfeature.query: astringfeature.
mcd3
question: astringfeature.query: astringfeature.
query_complexity_split
question: astringfeature.query: astringfeature.
query_pattern_split
question: astringfeature.query: astringfeature.
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
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
@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},
}
Contributions
Thanks to @thomwolf, @patrickvonplaten, @lewtun, @brainshawn for adding this dataset.