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