Update README.md

README.md

@@ -65,4 +65,30 @@ configs:
   data_files:
   - split: en.test
     path: queries/en.test-*
+license: cc-by-nc-4.0
+task_categories:
+- text-retrieval
+language:
+- en
+- fr
+pretty_name: CLIRudit
 ---
+
+# Dataset Card for CLIRudit
+
+<!-- Provide a quick summary of the dataset. -->
+
+**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.