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@@ -118,7 +118,7 @@ This represents the best possible performance that can be achieved by a retrieva
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  <!-- Provide the basic links for the dataset. -->
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  - **Repository:** TBA
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- - **Paper:** [CLIRudit: Cross-Lingual Information Retrieval of Scientific Documents](TODO)
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  ## Uses
@@ -173,7 +173,7 @@ A typical instance of the `qrels` subset looks like:
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  - `title`: article title, if any
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  - `subtitle`: article subtitle, if any
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  - `abstract`: article abstract
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- - `rel`: relevance tag (currently only positives are tagged with 1)
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  <!-- Note that the descriptions can be initialized with the **Show Markdown Data Fields** output of the [Datasets Tagging app](https://huggingface.co/spaces/huggingface/datasets-tagging), you will then only need to refine the generated descriptions. -->
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@@ -196,11 +196,18 @@ For qrels, we first indicate query lang and then doc lang in the `split` name; e
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  **BibTeX:**
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  ```bibtex
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- @article{
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- TODO
 
 
 
 
 
 
 
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  }
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  ```
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  **APA:**
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- TODO
 
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  <!-- Provide the basic links for the dataset. -->
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  - **Repository:** TBA
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+ - **Paper:** [CLIRudit: Cross-Lingual Information Retrieval of Scientific Documents](https://arxiv.org/abs/2504.16264)
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  ## Uses
 
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  - `title`: article title, if any
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  - `subtitle`: article subtitle, if any
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  - `abstract`: article abstract
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+ - `rel`: relevance label (currently only positives are labelled with 1)
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  <!-- Note that the descriptions can be initialized with the **Show Markdown Data Fields** output of the [Datasets Tagging app](https://huggingface.co/spaces/huggingface/datasets-tagging), you will then only need to refine the generated descriptions. -->
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  **BibTeX:**
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  ```bibtex
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+ @article{valentini2025clirudit,
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+ title={CLIRudit: Cross-Lingual Information Retrieval of Scientific Documents},
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+ author={Francisco Valentini and Diego Kozlowski and Vincent Larivière},
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+ year={2025},
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+ eprint={2504.16264},
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+ journal={arxiv:2504.16264},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.IR},
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+ url={https://arxiv.org/abs/2504.16264},
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  }
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  ```
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  **APA:**
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+ Francisco Valentini, Diego Kozlowski, & Vincent Larivière (2025). CLIRudit: Cross-Lingual Information Retrieval of Scientific Documents. arxiv:2504.16264.