Datasets:
Tasks:
Translation
Languages:
English
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
machine-generated
Annotations Creators:
machine-generated
Source Datasets:
original
Tags:
License:
| annotations_creators: | |
| - machine-generated | |
| language_creators: | |
| - machine-generated | |
| language: | |
| - en | |
| license: | |
| - unknown | |
| multilinguality: | |
| - monolingual | |
| pretty_name: text2log | |
| size_categories: | |
| - 100K<n<1M | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - translation | |
| task_ids: [] | |
| dataset_info: | |
| features: | |
| - name: sentence | |
| dtype: string | |
| - name: fol_translation | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 10358134 | |
| num_examples: 101931 | |
| download_size: 9746473 | |
| dataset_size: 10358134 | |
| # Dataset Card for text2log | |
| ## Table of Contents | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks](#supported-tasks-and-leaderboards) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-instances) | |
| - [Data Splits](#data-instances) | |
| - [Dataset Creation](#dataset-creation) | |
| - [Curation Rationale](#curation-rationale) | |
| - [Source Data](#source-data) | |
| - [Annotations](#annotations) | |
| - [Personal and Sensitive Information](#personal-and-sensitive-information) | |
| - [Considerations for Using the Data](#considerations-for-using-the-data) | |
| - [Social Impact of Dataset](#social-impact-of-dataset) | |
| - [Discussion of Biases](#discussion-of-biases) | |
| - [Other Known Limitations](#other-known-limitations) | |
| - [Additional Information](#additional-information) | |
| - [Dataset Curators](#dataset-curators) | |
| - [Licensing Information](#licensing-information) | |
| - [Citation Information](#citation-information) | |
| ## Dataset Description | |
| - **Homepage:** | |
| - **Repository:** [GitHub](https://github.com/alevkov/text2log) | |
| - **Paper:** | |
| - **Leaderboard:** | |
| - **Point of Contact:** https://github.com/alevkov | |
| ### 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 | |
| ```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. |