---
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:zjin@tue.mpg.de), [Fernando Gonzalez](mailto:fgonzalez@ethz.ch) 
### 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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