README.md

metadata

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

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

[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. 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

@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}
}