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Datasets:
unimelb-nlp
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Multi-EuP

Tasks:
Text Retrieval
Modalities:
Image
Languages:
English
German
French
Size:
10K<n<100K
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metadata
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
configs:
  - config_name: default
    data_files:
      - split: train
        path:
          - MultiEuP.csv

Dataset Description

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.

Dataset statistics

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 coprpushttps://huggingface.co/datasets/unimelb-nlp/Multi-EuP/blob/main/Debates.csv and MEP info https://huggingface.co/datasets/unimelb-nlp/Multi-EuP/blob/main/MEPs.csv. The MEP id in two files can be used for alignment.

Debate Corpus Fileds

The debate instance and attributes are displayed below. See the Multi-EuP debate viewer to explore more examples.

  • TEXT: A string representing the content of the debate speech.
  • NAME: A string containing the name of the MEP who presented the speech.
  • PRESIDENT: A boolean indicating whether the MEP is the president (typically discussing procedural matters to introduce the debate).
  • MEPID: An integer representing the unique ID of the MEP in the EU.
  • LANGUAGE: The language ISO code of the text.
  • PARTY: A string representing the political party of the MEP.
  • TEXTID: A hash string serving as a unique identifier for the speech text.
  • CODICT: An integer serving as the unique identifier for the speech text.
  • DATE: A string indicating the date when the debate happened.
  • VOD-START: The timestamp of the speech start.
  • VOD-END: The timestamp of the speech end.
  • title_X: A string representing the title in language X (e.g., title_EN). Note that this field might be empty for some languages, such as GA, as the EU does not publish titles in Irish (GA).
  • did: A string representing the unique ID of the text (e.g., doc0, doc1).
  • qid_X: A string representing the unique ID of the title in language X (e.g., qid0#EN).

MEP info Fileds

The information dictionary for the 705 MEPs was constructed as follows:

  • fullName: A string representing the full name of the MEP.
  • politicalGroup: A string indicating the political group affiliation of the MEP.
  • id: An integer representing the unique identifier of the MEP in the EU.
  • nationalPoliticalGroup: A string denoting the national political group of the MEP.
  • photo: A .jpg file containing the profile picture of the MEP.
  • nameAudio: A .mp3 file with the pronunciation of the MEP's name.
  • gender_Wiki: A string specifying the gender of the MEP as mentioned on Wikipedia.
  • gender_2017: A string indicating the gender of the MEP according to europal-2017(https://aclanthology.org/E17-1101.pdf).
  • gender: A string representing the MEP's gender after cross-referencing information from Wikipedia, europal-2017, and manual verification.
  • dateOfBirth_Wiki: A string stating the date of birth of the MEP as mentioned on Wikipedia.
  • dateOfBirth_Home: A string indicating the date of birth of the MEP as found on their homepage in the EU.
  • dateOfBirth: A string representing the date of birth of the MEP after combining information from Wikipedia, their homepage, and manual verification.
  • placeOfBirth: A string indicating the place of birth of the MEP as mentioned on their homepage.
  • country: A string representing the nationality country of the MEP as mentioned on their homepage.
  • homePage: A string providing the link to the MEP's homepage.

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/jrnlp/Multi-EuP. 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}
}