Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
entity-linking-classification
Languages:
German
Size:
100K - 1M
License:
metadata
annotations_creators: []
language:
- de
language_creators:
- expert-generated
license:
- cc0-1.0
multilinguality:
- monolingual
pretty_name: Bundestag-v2
size_categories:
- 100K<n<1M
source_datasets: []
tags:
- Bundestag
- ParlSpeech
task_categories:
- text-classification
task_ids:
- entity-linking-classification
Dataset Card for Bundestag-v2
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://doi.org/10.7910/DVN/L4OAKN
Dataset Summary
This dataset was generated from the ParlSpeech V2 dataset. It contains speeches from the german parliament from 1990 until 2020 labelled with the party of the speaker.
Supported Tasks
Text Classification
Languages
German
Dataset Structure
Data Fields
- text: Transcript of the speech in german
- party: Party of the speaker
Data Splits
- train
- validation
- test
Dataset Creation
Curation Rationale
Created to train a language model, which is able to classify speeches by party.
Source Data
Initial Data Collection and Normalization
Considerations for Using the Data
Social Impact of Dataset
These are political speeches, therefor the content can be controversial and potentially harmful.
Additional Information
Licensing Information
Citation Information
Bibtex entry:
@data{DVN/L4OAKN_2020,
author = {Rauh, Christian and Schwalbach, Jan},
publisher = {Harvard Dataverse},
title = {{The ParlSpeech V2 data set: Full-text corpora of 6.3 million parliamentary speeches in the key legislative chambers of nine representative democracies}},
year = {2020},
version = {V1},
doi = {10.7910/DVN/L4OAKN},
url = {https://doi.org/10.7910/DVN/L4OAKN}
}