---
language:
- cs
license: cc-by-nc-sa-4.0
size_categories:
- 1K<n<10K
dataset_info:
  features:
  - name: id
    dtype: string
  - name: text
    dtype: string
  - name: genre
    dtype: string
  - name: topic
    dtype: string
  - name: scope
    dtype: string
  - name: location
    dtype: string
  - name: argumentation
    dtype: string
  - name: emotions
    dtype: string
  - name: overall_sentiment
    dtype: string
  - name: russia
    dtype: string
  - name: opinion
    dtype: string
  - name: expert
    dtype: string
  - name: source
    dtype: string
  - name: fear-mongering
    dtype: string
  - name: blaming
    dtype: string
  - name: labeling
    dtype: string
  - name: demonization
    dtype: string
  - name: relativization
    dtype: string
  - name: fabulation
    dtype: string
  - name: ranges
    list:
    - name: attribute
      dtype: string
    - name: end
      dtype: int64
    - name: start
      dtype: int64
    - name: text
      dtype: string
  splits:
  - name: train
    num_bytes: 27173943
    num_examples: 7642
  - name: test
    num_bytes: 3727325
    num_examples: 1000
  download_size: 19285049
  dataset_size: 30901268
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---
# Dataset Card for the benchmark Propaganda Dataset

<!-- Provide a quick summary of the dataset. -->


## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->


### Dataset Sources

<!-- Provide the basic links for the dataset. -->

- **Repository:** https://nlp.fi.muni.cz/projects/propaganda/dataset/
- **Paper:** https://dx.doi.org/10.1016/j.eswa.2024.124085
- **Demo:** https://nlp.fi.muni.cz/projects/propaganda


## Citation

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

    @article{horak_etal2024_recognition,
      title = {Recognition of propaganda techniques in newspaper texts: Fusion of content and style analysis},
      author = {Aleš Horák and Radoslav Sabol and Ondřej Herman and Vít Baisa},
      journal = {Expert Systems with Applications},
      pages = {124085},
      year = {2024},
      issn = {0957-4174},
      publisher = {Elsevier},
      doi = {https://doi.org/10.1016/j.eswa.2024.124085},      
    }
    
**APA:**

  Aleš HORÁK, Radoslav SABOL, Ondřej HERMAN and Vít BAISA. 
  Recognition of Propaganda Techniques in Newspaper Texts: Fusion of Content and Style Analysis. 
  Expert Systems with Applications. Elsevier, 2024. ISSN 0957-4174. https://dx.doi.org/10.1016/j.eswa.2024.124085.