NLP4SGPapers / README.md
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---
license: cc-by-nc-sa-4.0
pretty_name: NLP4SGPapers
task_categories:
- text-classification
---
# Dataset Card for NLP4SGPapers
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [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)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)
## Dataset Description
- **Repository:** [NLP4SG](https://github.com/feradauto/nlp4sg)
- **Paper:**
- **Point of Contact:** [Zhijing Jin](mailto:[email protected]), [Fernando Gonzalez](mailto:[email protected])
### Dataset Summary
Scientific dataset with three associated tasks that can help identify NLP4SG papers.
### Languages
The language in the dataset is English.
## Dataset Structure
### Data Instances
Each instance is an annotated paper with title, abstract, year.
### Data Fields
- `ID`: Paper ID in ACL Anthology
- `url`: URL where the paper is available
- `title`: Title of the paper
- `abstract`: Abstract
- `label_nlp4sg`: Whether is an NLP4SG paper or not. For more info on the criteria check our paper
- `task`: List of tasks (Only available for the test set and for SG papers)
- `method`: List of methods (Only available for the test set and for SG papers)
- `goal1`: goal in string format
- `goal2`: goal in string format
- `goal3`: goal in string format
- `acknowledgments`: acknowledgments
- `year`: Year of publication
- `sdg1` to `sdg17`: Boolean value that indicates if the paper addresses the United Nations Social Development Goal.
### Data Splits
NLP4SGPapers contains train, test and validation splits.
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
Information about the data collection can be found in the appendix of [our paper].
### Personal and Sensitive Information
The NLP4SGPapers dataset does not have privacy concerns.
## Considerations for Using the Data
### Social Impact of Dataset
The intended use of this work is to help the creation of an overview of the NLP4SG research landscape.
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
The NLP4SGPapers dataset is licensed under a [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License](https://creativecommons.org/licenses/by-nc-sa/4.0/).
### Citation Information
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