
# 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

```
```
task_categories:text-classification license:cc-by-nc-sa-4.0 region:us
{"license": "cc-by-nc-sa-4.0", "task_categories": ["text-classification"], "pretty_name": "NLP4SGPapers"}
TAGS
#task_categories-text-classification #license-cc-by-nc-sa-4.0 #region-us 


# Dataset Card for NLP4SGPapers

## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions

## Dataset Description

- Repository: NLP4SG
- Paper:
- Point of Contact: Zhijing Jin, Fernando Gonzalez 
### 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



### 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



### Licensing Information

The NLP4SGPapers dataset is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.




# Dataset Card for NLP4SGPapers ## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Repository: NLP4SG
- Paper:
- Point of Contact: Zhijing Jin, Fernando Gonzalez ### 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 ### 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 ### Licensing Information

The NLP4SGPapers dataset is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
TAGS
#task_categories-text-classification #license-cc-by-nc-sa-4.0 #region-us 
 # Dataset Card for NLP4SGPapers ## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Repository: NLP4SG
- Paper:
- Point of Contact: Zhijing Jin, Fernando Gonzalez ### 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 ### 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 ### Licensing Information

The NLP4SGPapers dataset is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
passage: TAGS
#task_categories-text-classification #license-cc-by-nc-sa-4.0 #region-us 
# Dataset Card for NLP4SGPapers## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions## Dataset Description

- Repository: NLP4SG
- Paper:
- Point of Contact: Zhijing Jin, Fernando Gonzalez### 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