The viewer is disabled because this dataset repo requires arbitrary Python code execution. Please consider
removing the
loading script
and relying on
automated data support
(you can use
convert_to_parquet
from the datasets library). If this is not possible, please
open a discussion
for direct help.
Dataset Card for text2log
Dataset Summary
The dataset contains 100,000 simple English sentences selected and filtered from enTenTen15 and their translation into First Order Logic (FOL) using ccg2lambda.
Supported Tasks and Leaderboards
'semantic-parsing': The data set is used to train models which can generate FOL statements from natural language text
Languages
en-US
Dataset Structure
Data Instances
{
'clean':'All things that are new are good.',
'trans':'all x1.(_thing(x1) -> (_new(x1) -> _good(x1)))'
}
Data Fields
- 'clean': a simple English sentence
- 'trans': the corresponding translation into Lambda Dependency-based Compositional Semantics
Data Splits
No predefined train/test split is given. The authors used a 80/20 split
Dataset Creation
Curation Rationale
The text2log data set is used to improve FOL statement generation from natural text
Source Data
Initial Data Collection and Normalization
Short text samples selected from enTenTen15
Who are the source language producers?
See https://www.sketchengine.eu/ententen-english-corpus/
Annotations
Annotation process
Machine generated using https://github.com/mynlp/ccg2lambda
Who are the annotators?
none
Personal and Sensitive Information
The dataset does not contain personal or sensitive information.
Considerations for Using the Data
Social Impact of Dataset
[Needs More Information]
Discussion of Biases
[Needs More Information]
Other Known Limitations
[Needs More Information]
Additional Information
Dataset Curators
[Needs More Information]
Licensing Information
None given
Citation Information
@INPROCEEDINGS{9401852,
author={Levkovskyi, Oleksii and Li, Wei},
booktitle={SoutheastCon 2021},
title={Generating Predicate Logic Expressions from Natural Language},
year={2021},
volume={},
number={},
pages={1-8},
doi={10.1109/SoutheastCon45413.2021.9401852}
}
Contributions
Thanks to @apergo-ai for adding this dataset.
- Downloads last month
- 40