--- dataset_info: - config_name: docs features: - name: docid dtype: string - name: title dtype: string - name: subtitle dtype: string - name: abstract dtype: string splits: - name: fr.test num_bytes: 21532392 num_examples: 16389 - name: en.test num_bytes: 19436528 num_examples: 16389 download_size: 22803206 dataset_size: 40968920 - config_name: qrels features: - name: qid dtype: int64 - name: docid dtype: string - name: rel dtype: int64 splits: - name: en_fr.test num_bytes: 10393138 num_examples: 360596 - name: en_en.test num_bytes: 10393138 num_examples: 360596 download_size: 5660924 dataset_size: 20786276 - config_name: queries features: - name: qid dtype: int64 - name: query dtype: string splits: - name: en.test num_bytes: 20056464 num_examples: 357710 download_size: 7709798 dataset_size: 20056464 configs: - config_name: docs data_files: - split: fr.test path: docs/fr.test-* - split: en.test path: docs/en.test-* - config_name: qrels data_files: - split: en_fr.test path: qrels/en_fr.test-* - split: en_en.test path: qrels/en_en.test-* - config_name: queries data_files: - split: en.test path: queries/en.test-* license: cc-by-nc-4.0 multilinguality: - multilingual - translation task_categories: - text-retrieval task_ids: - document-retrieval language: - en - fr pretty_name: CLIRudit source_datasets: - original tags: - research papers --- # Dataset Card for CLIRudit **CLIRudit** is a dataset for **academic Cross-lingual information retrieval** (CLIR), consisting of English queries and French documents, based on [**Érudit**](https://www.erudit.org/en/), a non-profit publishing platform based in Quebec, Canada. The CLIRudit dataset follows a TREC-style structure with three main components: * **Queries**: Generated from English keywords of research articles by creating all possible three-keyword combinations. For example, an article with keywords {A, B, C, D} would generate four queries: "A, B, C", "A, B, D", "A, C, D", and "B, C, D". * **Relevance judgments (qrels)**: A document is considered relevant to a query if its English keywords metadata contains all keywords present in the query, reflecting the assumption that authors want their articles to be discoverable through these keywords. * **Document collection**: Each document consists of concatenated French title, subtitle, and abstract, which serves as the retrieval unit. The dataset includes only Érudit **research articles** containing both abstracts and keywords in both French and English. The translations between languages were provided by the original authors of the articles. As an _empirical upper bound_, we also include the actual English translations of the French titles, subtitles, and abstracts as documents. This represents the best possible performance that can be achieved by a retrieval method with perfect translation. ## Dataset Details ### Dataset Description - **Language(s) (NLP):** English, French - **License:** CC BY-NC 4.0. The dataset should not be used for any commercial purpose. ### Dataset Sources - **Repository:** TBA - **Paper:** [CLIRudit: Cross-Lingual Information Retrieval of Scientific Documents](https://arxiv.org/abs/2504.16264) ## Uses The dataset is meant to be used to evaluate cross-lingual IR models. ## Dataset Structure ### Data Instances A typical instance of the `docs` subset looks like: ``` { 'docid': '000200ar', 'title': 'Le charme féminin chez les Peuls Djeneri du Mali', 'subtitle': 'Un « objet » de la nature ou de la culture?', 'abstract': 'La notion de charme soulève une confusion de sens, car elle est souvent utilisée dans un sens commun...', } ``` A typical instance of the `queries` subset looks like: ``` { 'qid': 0, 'query': '"biblioclasts", books with holes, picture books' } ``` A typical instance of the `qrels` subset looks like: ``` { 'qid': 0, 'docid': '1089655ar', 'rel': 1 } ``` ### Data Fields - `qid`: query id - `query`: query text - `docid`: document id in Érudit - `title`: article title, if any - `subtitle`: article subtitle, if any - `abstract`: article abstract - `rel`: relevance label (currently only positives are labelled with 1) ### Data Splits There is one `subset` per dataset component (documents, queries, qrels). `split` is used to represent language and train/test split. 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. ## Citation **BibTeX:** ```bibtex @inproceedings{valentini2025clirudit, title = "{CLIR}udit: Cross-Lingual Information Retrieval of Scientific Documents", author = "Valentini, Francisco and Kozlowski, Diego and Lariviere, Vincent", editor = "Adelani, David Ifeoluwa and Arnett, Catherine and Ataman, Duygu and Chang, Tyler A. and Gonen, Hila and Raja, Rahul and Schmidt, Fabian and Stap, David and Wang, Jiayi", booktitle = "Proceedings of the 5th Workshop on Multilingual Representation Learning (MRL 2025)", month = nov, year = "2025", address = "Suzhou, China", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2025.mrl-main.16/", doi = "10.18653/v1/2025.mrl-main.16", pages = "226--242", ISBN = "979-8-89176-345-6", } ``` **APA:** Francisco Valentini, Diego Kozlowski, and Vincent Lariviere. 2025. CLIRudit: Cross-Lingual Information Retrieval of Scientific Documents. In _Proceedings of the 5th Workshop on Multilingual Representation Learning (MRL 2025)_, pages 226–242, Suzhuo, China. Association for Computational Linguistics.