Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
multi-class-classification
Languages:
Danish
Size:
1K - 10K
License:
annotations_creators: | |
- expert-generated | |
language_creators: | |
- other | |
language: | |
- da | |
license: | |
- unknown | |
multilinguality: | |
- monolingual | |
size_categories: | |
- 1K<n<10K | |
source_datasets: | |
- original | |
task_categories: | |
- text-classification | |
task_ids: | |
- multi-class-classification | |
pretty_name: DanishPoliticalComments | |
dataset_info: | |
features: | |
- name: id | |
dtype: string | |
- name: sentence | |
dtype: string | |
- name: target | |
dtype: | |
class_label: | |
names: | |
'0': '2' | |
'1': '1' | |
'2': '0' | |
'3': '-1' | |
'4': '-2' | |
splits: | |
- name: train | |
num_bytes: 829561 | |
num_examples: 9008 | |
download_size: 512677 | |
dataset_size: 829561 | |
configs: | |
- config_name: default | |
data_files: | |
- split: train | |
path: data/train-* | |
# Dataset Card for DanishPoliticalComments | |
## Table of Contents | |
- [Dataset Description](#dataset-description) | |
- [Dataset Summary](#dataset-summary) | |
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) | |
- [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) | |
- [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) | |
- [Contributions](#contributions) | |
## Dataset Description | |
- **Homepage:** https://github.com/steffan267/Sentiment-Analysis-on-Danish-Social-Media | |
- **Repository:** https://github.com/steffan267/Sentiment-Analysis-on-Danish-Social-Media | |
- **Paper:** https://github.com/lucaspuvis/SAM/blob/master/Thesis.pdf | |
- **Point of Contact:** [More Information Needed] | |
### Dataset Summary | |
The dataset consists of 9008 sentences that are labeled with fine-grained polarity in the range from -2 to 2 (negative to positive). The quality of the fine-grained is not cross-validated and is therefore subject to uncertainties; however, the simple polarity has been cross-validated and therefore is considered to be more correct. | |
### Supported Tasks and Leaderboards | |
[More Information Needed] | |
### Languages | |
[More Information Needed] | |
## Dataset Structure | |
### Data Instances | |
[More Information Needed] | |
### Data Fields | |
[More Information Needed] | |
### Data Splits | |
[More Information Needed] | |
## Dataset Creation | |
### Curation Rationale | |
[More Information Needed] | |
### Source Data | |
[More Information Needed] | |
#### Initial Data Collection and Normalization | |
[More Information Needed] | |
#### Who are the source language producers? | |
[More Information Needed] | |
### Annotations | |
[More Information Needed] | |
#### Annotation process | |
[More Information Needed] | |
#### Who are the annotators? | |
[More Information Needed] | |
### Personal and Sensitive Information | |
[More Information Needed] | |
## Considerations for Using the Data | |
### Social Impact of Dataset | |
[More Information Needed] | |
### Discussion of Biases | |
[More Information Needed] | |
### Other Known Limitations | |
[More Information Needed] | |
## Additional Information | |
### Dataset Curators | |
[More Information Needed] | |
### Licensing Information | |
[More Information Needed] | |
### Citation Information | |
[More Information Needed] | |
### Contributions | |
Thanks to [@abhishekkrthakur](https://github.com/abhishekkrthakur) for adding this dataset. |