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@@ -72,6 +72,8 @@ language:
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  - en
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  - fr
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  pretty_name: CLIRudit
 
 
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  ---
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  # Dataset Card for CLIRudit
@@ -91,4 +93,107 @@ The dataset includes only Érudit **research articles** containing both abstract
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  The translations between languages were provided by the original authors of the articles.
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  As an _empirical upper bound_, we also include the actual English translations of the French titles, subtitles, and abstracts as documents.
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- This represents the best possible performance that can be achieved by a retrieval method with perfect translation.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - en
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  - fr
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  pretty_name: CLIRudit
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+ tags:
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+ - research papers
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  ---
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  # Dataset Card for CLIRudit
 
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  The translations between languages were provided by the original authors of the articles.
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  As an _empirical upper bound_, we also include the actual English translations of the French titles, subtitles, and abstracts as documents.
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+ This represents the best possible performance that can be achieved by a retrieval method with perfect translation.
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+ ## Dataset Details
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+ ### Dataset Description
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+ <!-- Provide a longer summary of what this dataset is. -->
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+ - **Language(s) (NLP):** English, French
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+ - **License:** CC BY-NC 4.0. The dataset should not be used for any commercial purpose.
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+ ### Dataset Sources
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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
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+ The dataset is meant to be used to evaluate cross-lingual IR models.
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+ ## Dataset Structure
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+ <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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+ ### Data Instances
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+ A typical instance of the `docs` subset looks like:
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+ ```
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+ {
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+ 'docid': '000200ar',
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+ 'title': 'Le charme féminin chez les Peuls Djeneri du Mali',
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+ 'subtitle': 'Un « objet » de la nature ou de la culture?',
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+ 'abstract': 'La notion de charme soulève une confusion de sens, car elle est souvent utilisée dans un sens commun...',
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+ }
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+ ```
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+ A typical instance of the `queries` subset looks like:
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+ ```
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+ {
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+ 'qid': 0,
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+ 'query': '"biblioclasts", books with holes, picture books'
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+ }
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+ ```
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+ A typical instance of the `qrels` subset looks like:
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+ ```
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+ {
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+ 'qid': 0,
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+ 'docid': '1089655ar',
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+ 'rel': 1
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+ }
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+ ```
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+ ### Data Fields
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+ - `qid`: query id
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+ - `query`: query text
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+ - `docid`: document id in Érudit
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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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+ ### Data Splits
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+ There is one `subset` per dataset component (documents, queries, qrels).
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+ `split` is used to represent language and train/test split.
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+ For qrels, we first indicate query lang and then doc lang in the `split` name; e.g., `en_fr.test` means test split judgments with English queries and French documents.
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+ ## Citation
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+ <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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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