---
license: apache-2.0
task_categories:
- text-retrieval
size_categories:
- 10K<n<100K
language:
- en
- de
- fr
- it
- es
- pl
- ro
- nl
- el
- hu
- pt
- cs
- sv
- bg
- da
- fi
- sk
- lt
- hr
- sl
- et
- lv
- mt
- ga
pretty_name: multi_eup
---
## Dataset Description

- **Homepage:**
- **Repository:** [Multi-EuP Dataset repository](https://github.com/jrnlp/Multi-EuP)
- **Paper:** [Multi-EuP: The Multilingual European Parliament Dataset for Analysis of Bias in Information Retrieval](https://arxiv.org/pdf/2311.01870.pdf)
- **Leaderboard:** [Papers with Code leaderboard for Multi-EuP](Coming soon)
- **Point of Contact:** [Jinrui Yang](mailto:jinruiy@student.unimelb.edu.au)

### Dataset Summary

The Multi-Eup is a new multilingual benchmark dataset, comprising 22K multilingual documents collected from the European Parliament, spanning 24 languages. This dataset is designed to investigate fairness in a multilingual information retrieval (IR) context to analyze both language and demographic bias in a ranking context. It boasts an authentic multilingual corpus, featuring topics translated into all 24 languages, as well as cross-lingual relevance judgments. Furthermore, it offers rich demographic information associated with its documents, facilitating the study of demographic bias. 

### Languages

| Language | ISO code | Countries where official lang. | Native Usage | Total Usage | # Docs | Words per Doc (mean/median) |
|----------|----------|--------------------------------|--------------|-------------|-------|------------------------------|
| English  | EN       | United Kingdom, Ireland, Malta  | 13%          | 51%         | 7123  | 286/200                      |
| German   | DE       | Germany, Belgium, Luxembourg    | 16%          | 32%         | 3433  | 180/164                      |
| French   | FR       | France, Belgium, Luxembourg      | 12%          | 26%         | 2779  | 296/223                      |
| Italian  | IT       | Italy                            | 13%          | 16%         | 1829  | 190/175                      |
| Spanish  | ES       | Spain                            | 8%           | 15%         | 2371  | 232/198                      |
| Polish   | PL       | Poland                           | 8%           | 9%          | 1841  | 155/148                      |
| Romanian | RO       | Romania                          | 5%           | 5%          | 794   | 186/172                      |
| Dutch    | NL       | Netherlands, Belgium             | 4%           | 5%          | 897   | 184/170                      |
| Greek    | EL       | Greece, Cyprus                   | 3%           | 4%          | 707   | 209/205                      |
| Hungarian| HU       | Hungary                          | 3%           | 3%          | 614   | 126/128                      |
| Portuguese| PT      | Portugal                         | 2%           | 3%          | 1176  | 179/167                      |
| Czech    | CS       | Czech Republic                   | 2%           | 3%          | 397   | 167/149                      |
| Swedish  | SV       | Sweden                           | 2%           | 3%          | 531   | 175/165                      |
| Bulgarian| BG       | Bulgaria                         | 2%           | 2%          | 408   | 196/178                      |
| Danish   | DA       | Denmark                          | 1%           | 1%          | 292   | 218/198                      |
| Finnish  | FI       | Finland                          | 1%           | 1%          | 405   | 94/87                        |
| Slovak   | SK       | Slovakia                         | 1%           | 1%          | 348   | 151/158                      |
| Lithuanian| LT     | Lithuania                       | 1%           | 1%          | 115   | 142/127                      |
| Croatian | HR      | Croatia                          | <1%          | <1%         | 524   | 183/164                      |
| Slovene  | SL      | Slovenia                         | <1%          | <1%         | 270   | 201/163                      |
| Estonian | ET      | Estonia                          | <1%          | <1%         | 58    | 160/158                      |
| Latvian  | LV      | Latvia                           | <1%          | <1%         | 89    | 111/123                      |
| Maltese  | MT      | Malta                            | <1%          | <1%         | 178   | 117/115                      |
| Irish    | GA      | Ireland                          | <1%          | <1%         | 33    | 198/172                      |
*Table 1: Multi-EuP statistics, broken down by language: ISO language code; EU member states using the language officially; proportion of the EU population speaking the language; number of debate speech documents in Mult-EuP; and words per document (mean/median).*

## Dataset Structure

The Multi-EuP dataset contains two files, debate coprpus and MEP info. 

### Data Instances

For each instance, there is a string for the article, a string for the highlights, and a string for the id. See the [CNN / Daily Mail dataset viewer](https://huggingface.co/datasets/viewer/?dataset=cnn_dailymail&config=3.0.0) to explore more examples.

```
{'id': '0054d6d30dbcad772e20b22771153a2a9cbeaf62',
 'article': '(CNN) -- An American woman died aboard a cruise ship that docked at Rio de Janeiro on Tuesday, the same ship on which 86 passengers previously fell ill, according to the state-run Brazilian news agency, Agencia Brasil. The American tourist died aboard the MS Veendam, owned by cruise operator Holland America. Federal Police told Agencia Brasil that forensic doctors were investigating her death. The ship's doctors told police that the woman was elderly and suffered from diabetes and hypertension, according the agency. The other passengers came down with diarrhea prior to her death during an earlier part of the trip, the ship's doctors said. The Veendam left New York 36 days ago for a South America tour.'
 'highlights': 'The elderly woman suffered from diabetes and hypertension, ship's doctors say .\nPreviously, 86 passengers had fallen ill on the ship, Agencia Brasil says .'}
```

### Data Fields

- `id`: a string containing the heximal formated SHA1 hash of the url where the story was retrieved from
- `article`: a string containing the body of the news article 
- `highlights`: a string containing the highlight of the article as written by the article author


### Data Source

This Multi-Eup dataset was collected from European Parliament. <https://www.europarl.europa.eu/portal/en>

#### Initial Data Collection and Normalization

The code for the EMNLP MRL version is made publicly available by Jinrui Yang, Timothy Baldwin and Trevor Cohn of The University of Melbourne at <https://github.com/abisee/cnn-dailymail>. This research was funded by Melbourne Research Scholarship and undertaken using the LIEF HPCGPGPU Facility hosted at the University of Melbourne. This facility was established with the assistance of LIEF Grant LE170100200. 

### Ethics Statement

The dataset contains publicly-available EP data that does not include personal or sensitive information, with the exception of information relating to public officeholders, e.g., the names of the active members of the European Parliament, European Council, or other official administration bodies. The collected data is licensed under the Creative Commons Attribution 4.0 International licence. <https://eur-lex.europa.eu/content/legal-notice/legal-notice.html>

### Citation Information

```
@misc{yang2023multieup,
      title={Multi-EuP: The Multilingual European Parliament Dataset for Analysis of Bias in Information Retrieval}, 
      author={Jinrui Yang and Timothy Baldwin and Trevor Cohn},
      year={2023},
      eprint={2311.01870},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
```