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--- |
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license: cc-by-nc-sa-4.0 |
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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:** [Zhijing Jin](mailto:[email protected]), [Fernando Gonzalez](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 addresses the United Nations Social Development Goal. |
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### Data Splits |
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NLP4SGPapers 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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``` |
