language:it license:cc-by-nc-sa-4.0 size_categories:100K<n<1M format:json modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
language:
- it
language_details: it-IT
size_categories:
- 100K<n<1M
license: cc-by-nc-sa-4.0
configs:
- config_name: default
  data_files:
  - split: train
    path: train.jsonl
  - split: test
    path: test.jsonl
---
# Headline translation EVALITA 2020
This dataset contains headlines collected from two Italian newspapers situated at opposite ends of the political spectrum, namely la Repubblica (left) and Il Giornale (right), with the two newspapers equally represented.
The task focuses on transforming the style of newspaper headlines. Specifically, given a (collection of) headlines from one newspaper, namely Il Giornale (G) or La Repubblica (R), it challenges automatic systems to change all G-headlines to headlines in style R, and all R-headlines to headlines in style G.

# Citation
```bibtex
@inproceedings{de2020change,
  title={Change-it@ evalita 2020: Change headlines, adapt news, generate},
  author={De Mattei, Lorenzo and Cafagana, Michele and Dell’Orletta, Felice and Nissim, Malvina and Gatt, Albert},
  booktitle={Evaluation Campaign of Natural Language Processing and Speech Tools for Italian},
  year={2020},
  organization={European Language Resources Association (ELRA)}
}
```