--- annotations_creators: - machine-generated language_creators: - machine-generated language: - en license: - unknown multilinguality: - monolingual pretty_name: 'text2log' size_categories: - 100K (_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 ```bibtex @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](https://github.com/apergo-ai) for adding this dataset.