|
--- |
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annotations_creators: |
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- machine-generated |
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language_creators: |
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- machine-generated |
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language: |
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- en |
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license: |
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- unknown |
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multilinguality: |
|
- monolingual |
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pretty_name: text2log |
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size_categories: |
|
- 100K<n<1M |
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source_datasets: |
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- original |
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task_categories: |
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- translation |
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task_ids: [] |
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dataset_info: |
|
features: |
|
- name: sentence |
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dtype: string |
|
- name: fol_translation |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 10358134 |
|
num_examples: 101931 |
|
download_size: 9746473 |
|
dataset_size: 10358134 |
|
--- |
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|
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# Dataset Card for text2log |
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## Table of Contents |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-instances) |
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- [Data Splits](#data-instances) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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## Dataset Description |
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- **Homepage:** |
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- **Repository:** [GitHub](https://github.com/alevkov/text2log) |
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- **Paper:** |
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- **Leaderboard:** |
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- **Point of Contact:** https://github.com/alevkov |
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### Dataset Summary |
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The dataset contains 100,000 simple English sentences selected and filtered from `enTenTen15` and their translation into First Order Logic (FOL) using `ccg2lambda`. |
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### Supported Tasks and Leaderboards |
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'semantic-parsing': The data set is used to train models which can generate FOL statements from natural language text |
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### Languages |
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en-US |
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## Dataset Structure |
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### Data Instances |
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``` |
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{ |
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'clean':'All things that are new are good.', |
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'trans':'all x1.(_thing(x1) -> (_new(x1) -> _good(x1)))' |
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} |
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``` |
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### Data Fields |
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- 'clean': a simple English sentence |
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- 'trans': the corresponding translation into Lambda Dependency-based Compositional Semantics |
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### Data Splits |
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No predefined train/test split is given. The authors used a 80/20 split |
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## Dataset Creation |
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### Curation Rationale |
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The text2log data set is used to improve FOL statement generation from natural text |
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### Source Data |
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#### Initial Data Collection and Normalization |
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Short text samples selected from enTenTen15 |
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#### Who are the source language producers? |
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See https://www.sketchengine.eu/ententen-english-corpus/ |
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### Annotations |
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#### Annotation process |
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Machine generated using https://github.com/mynlp/ccg2lambda |
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#### Who are the annotators? |
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none |
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### Personal and Sensitive Information |
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The dataset does not contain personal or sensitive information. |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[Needs More Information] |
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### Discussion of Biases |
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[Needs More Information] |
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### Other Known Limitations |
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[Needs More Information] |
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## Additional Information |
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### Dataset Curators |
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[Needs More Information] |
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### Licensing Information |
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None given |
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### Citation Information |
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```bibtex |
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@INPROCEEDINGS{9401852, |
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author={Levkovskyi, Oleksii and Li, Wei}, |
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booktitle={SoutheastCon 2021}, |
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title={Generating Predicate Logic Expressions from Natural Language}, |
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year={2021}, |
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volume={}, |
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number={}, |
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pages={1-8}, |
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doi={10.1109/SoutheastCon45413.2021.9401852} |
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} |
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``` |
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### Contributions |
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Thanks to [@apergo-ai](https://github.com/apergo-ai) for adding this dataset. |
