Datasets:
Tasks:
Text Classification
Sub-tasks:
sentiment-classification
Languages:
English
Size:
1K<n<10K
ArXiv:
License:
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-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} | |
} | |
``` | |