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@@ -40,7 +40,7 @@ pretty_name: EU Debates
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  # Dataset Description
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- EU Debates is a corpus of parliamentary proceedings (debates) from the European parliament released by [Chalkidis and Brandl (2024)]((https://openreview.net/pdf?id=E-S6354vKNn)). The corpus consists of approx. 87k individual speeches in the period 2009-2023.
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  We exhaustively scrape the data from the official European Parliament Plenary website ([Link](https://www.europarl.europa.eu/)). All speeches are time-stamped, thematically organized on debates,
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  and include metadata relevant to the speaker's identity (full name, euro-party affiliation, speaker role), and the debate (date and title).
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  Older debate speeches are originally in English, while newer ones are linguistically diverse across the 23 official EU languages, thus we also provide machine-translated
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  *[Llama meets EU: Investigating the European political spectrum through the lens of LLMs.
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  Ilias Chalkidis and Stephanie Brandl.
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  In the Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL),
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- Mexico City, Mexico, June 16–21, 2024.](https://openreview.net/pdf?id=E-S6354vKNn)*
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  ```
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  @inproceedings{chalkidis-and-brandl-eu-llama-2024,
 
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  # Dataset Description
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+ EU Debates is a corpus of parliamentary proceedings (debates) from the European parliament released by [Chalkidis and Brandl (2024)](https://arxiv.org/abs/2403.13592). The corpus consists of approx. 87k individual speeches in the period 2009-2023.
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  We exhaustively scrape the data from the official European Parliament Plenary website ([Link](https://www.europarl.europa.eu/)). All speeches are time-stamped, thematically organized on debates,
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  and include metadata relevant to the speaker's identity (full name, euro-party affiliation, speaker role), and the debate (date and title).
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  Older debate speeches are originally in English, while newer ones are linguistically diverse across the 23 official EU languages, thus we also provide machine-translated
 
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  *[Llama meets EU: Investigating the European political spectrum through the lens of LLMs.
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  Ilias Chalkidis and Stephanie Brandl.
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  In the Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL),
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+ Mexico City, Mexico, June 16–21, 2024.](https://arxiv.org/abs/2403.13592)*
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  ```
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  @inproceedings{chalkidis-and-brandl-eu-llama-2024,