
# Dataset Card Creation Guide

## Table of Contents

- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-instances)
  - [Data Splits](#data-instances)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [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)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)

## Dataset Description

- **Homepage:** N/A
- **Repository:** [GitHub](https://github.com/ltgoslo/NorBERT/)
- **Paper:** [A Fine-grained Sentiment Dataset for Norwegian](https://www.aclweb.org/anthology/2020.lrec-1.618/)
- **Leaderboard:** N/A
- **Point of Contact:** -

### Dataset Summary

Aggregated NoRec_fine: A Fine-grained Sentiment Dataset for Norwegian.
This dataset was created by the Nordic Language Processing Laboratory by aggregating the fine-grained annotations in NoReC_fine and removing sentences with conflicting or no sentiment.

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

The text in the dataset is in Norwegian.

## Dataset Structure

### Data Instances

Example of one instance in the dataset.

```{'label': 0, 'text': 'Verre er det med slagsmålene .'}```

### Data Fields

- `id`: index of the example
- `text`: Text of a sentence
- `label`: The sentiment label. Here
  - 0 = negative
  - 1 = positive

### Data Splits

The dataset is split into a `train`, `validation`, and `test` split with the following sizes:

|                            | Tain   | Valid | Test  |
| -----                      | ------ | ----- | ----- |
| Number of examples         | 2675   | 516   | 417   |



## Dataset Creation

This dataset is based largely on the original data described in the paper _A Fine-Grained Sentiment Dataset for Norwegian_ by L. Øvrelid, P. Mæhlum, J. Barnes, and E. Velldal, accepted at LREC 2020, [paper available](https://www.aclweb.org/anthology/2020.lrec-1.618). However, we have since added annotations for another 3476 sentences, increasing the overall size and scope of the dataset.

## Additional Information

### Licensing Information

This work is licensed under a Creative Commons Attribution 4.0 International License

### Citation Information

```latex
@misc{sheng2020investigating,
      title={Investigating Societal Biases in a Poetry Composition System},
      author={Emily Sheng and David Uthus},
      year={2020},
      eprint={2011.02686},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
```

task_categories:text-classification task_ids:sentiment-classification annotations_creators:expert-generated language_creators:found multilinguality:monolingual size_categories:1K<n<10K source_datasets:original language:en license:cc-by-4.0 arxiv:2011.02686 region:us
{"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"]}
TAGS
#task_categories-text-classification #task_ids-sentiment-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-4.0 #arxiv-2011.02686 #region-us 

Dataset Card Creation Guide
===========================


Table of Contents
-----------------


* Dataset Description
	+ Dataset Summary
	+ Supported Tasks
	+ Languages
* Dataset Structure
	+ Data Instances
	+ Data Fields
	+ Data Splits
* Dataset Creation
	+ Curation Rationale
	+ Source Data
	+ Annotations
	+ Personal and Sensitive Information
* Considerations for Using the Data
	+ Social Impact of Dataset
	+ Discussion of Biases
	+ Other Known Limitations
* Additional Information
	+ Dataset Curators
	+ Licensing Information
	+ Citation Information


Dataset Description
-------------------


* Homepage: N/A
* Repository: GitHub
* Paper: A Fine-grained Sentiment Dataset for Norwegian
* Leaderboard: N/A
* Point of Contact: -


### Dataset Summary


Aggregated NoRec\_fine: A Fine-grained Sentiment Dataset for Norwegian.
This dataset was created by the Nordic Language Processing Laboratory by aggregating the fine-grained annotations in NoReC\_fine and removing sentences with conflicting or no sentiment.


### Supported Tasks and Leaderboards


### Languages


The text in the dataset is in Norwegian.


Dataset Structure
-----------------


### Data Instances


Example of one instance in the dataset.


### Data Fields


* 'id': index of the example
* 'text': Text of a sentence
* 'label': The sentiment label. Here
	+ 0 = negative
	+ 1 = positive


### Data Splits


The dataset is split into a 'train', 'validation', and 'test' split with the following sizes:



Dataset Creation
----------------


This dataset is based largely on the original data described in the paper *A Fine-Grained Sentiment Dataset for Norwegian* by L. Øvrelid, P. Mæhlum, J. Barnes, and E. Velldal, accepted at LREC 2020, paper available. However, we have since added annotations for another 3476 sentences, increasing the overall size and scope of the dataset.


Additional Information
----------------------


### Licensing Information


This work is licensed under a Creative Commons Attribution 4.0 International License



### Dataset Summary


Aggregated NoRec\_fine: A Fine-grained Sentiment Dataset for Norwegian.
This dataset was created by the Nordic Language Processing Laboratory by aggregating the fine-grained annotations in NoReC\_fine and removing sentences with conflicting or no sentiment. ### Supported Tasks and Leaderboards ### Languages


The text in the dataset is in Norwegian.


Dataset Structure
----------------- ### Data Instances


Example of one instance in the dataset. ### Data Fields


* 'id': index of the example
* 'text': Text of a sentence
* 'label': The sentiment label. Here
	+ 0 = negative
	+ 1 = positive ### Data Splits


The dataset is split into a 'train', 'validation', and 'test' split with the following sizes:



Dataset Creation
----------------


This dataset is based largely on the original data described in the paper *A Fine-Grained Sentiment Dataset for Norwegian* by L. Øvrelid, P. Mæhlum, J. Barnes, and E. Velldal, accepted at LREC 2020, paper available. However, we have since added annotations for another 3476 sentences, increasing the overall size and scope of the dataset.


Additional Information
---------------------- ### Licensing Information


This work is licensed under a Creative Commons Attribution 4.0 International License
TAGS
#task_categories-text-classification #task_ids-sentiment-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-4.0 #arxiv-2011.02686 #region-us 
 ### Dataset Summary


Aggregated NoRec\_fine: A Fine-grained Sentiment Dataset for Norwegian.
This dataset was created by the Nordic Language Processing Laboratory by aggregating the fine-grained annotations in NoReC\_fine and removing sentences with conflicting or no sentiment. ### Supported Tasks and Leaderboards ### Languages


The text in the dataset is in Norwegian.


Dataset Structure
----------------- ### Data Instances


Example of one instance in the dataset. ### Data Fields


* 'id': index of the example
* 'text': Text of a sentence
* 'label': The sentiment label. Here
	+ 0 = negative
	+ 1 = positive ### Data Splits


The dataset is split into a 'train', 'validation', and 'test' split with the following sizes:



Dataset Creation
----------------


This dataset is based largely on the original data described in the paper *A Fine-Grained Sentiment Dataset for Norwegian* by L. Øvrelid, P. Mæhlum, J. Barnes, and E. Velldal, accepted at LREC 2020, paper available. However, we have since added annotations for another 3476 sentences, increasing the overall size and scope of the dataset.


Additional Information
---------------------- ### Licensing Information


This work is licensed under a Creative Commons Attribution 4.0 International License
passage: TAGS
#task_categories-text-classification #task_ids-sentiment-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-4.0 #arxiv-2011.02686 #region-us 
### Dataset Summary


Aggregated NoRec\_fine: A Fine-grained Sentiment Dataset for Norwegian.
This dataset was created by the Nordic Language Processing Laboratory by aggregating the fine-grained annotations in NoReC\_fine and removing sentences with conflicting or no sentiment.### Supported Tasks and Leaderboards### Languages


The text in the dataset is in Norwegian.


Dataset Structure
-----------------### Data Instances


Example of one instance in the dataset.### Data Fields


* 'id': index of the example
* 'text': Text of a sentence
* 'label': The sentiment label. Here
	+ 0 = negative
	+ 1 = positive### Data Splits


The dataset is split into a 'train', 'validation', and 'test' split with the following sizes:



Dataset Creation
----------------


This dataset is based largely on the original data described in the paper *A Fine-Grained Sentiment Dataset for Norwegian* by L. Øvrelid, P. Mæhlum, J. Barnes, and E. Velldal, accepted at LREC 2020, paper available. However, we have since added annotations for another 3476 sentences, increasing the overall size and scope of the dataset.


Additional Information
----------------------### Licensing Information


This work is licensed under a Creative Commons Attribution 4.0 International License