2026-05-08T03:15:43Z https://researchdata.tuwien.ac.at/oai2d

oai:researchdata.tuwien.ac.at:v8phe-g8911 2025-07-22T14:31:11Z openaire_data

4.3 TUW.TUDATA 10.48436/v8phe-g8911 oai:researchdata.tuwien.ac.at:v8phe-g8911 Cancellieri, Matteo Matteo Cancellieri The Open University El-Ebshihy, Alaa Alaa El-Ebshihy Research Studios Austria Fink, Tobias Tobias Fink TU Wien Gonzalez-Saez, Gabriela Gabriela Gonzalez-Saez Keller, Jüri Jüri Keller TH Köln - University of Applied Sciences Knoth, Petr Petr Knoth The Open University Piroi, Florina Florina Piroi 0000-0001-7584-6439 TU Wien Pride, David David Pride The Open University Schaer, Philipp Philipp Schaer TH Köln - University of Applied Sciences TU Wien 2025 information retrieval web data evaluation campaign LongEval 2025-05-05 2025-07-22 10.48436/r643n-yc044 10.48436/st7d6-wbe25 Creative Commons Attribution 4.0 International This collection consists of queries and documents extracted from the CORE scholarly literature search engine (https://core.ac.uk/). The queries in this collection were issued by CORE users, and a specific pipeline was designed to capture user queries, their corresponding search results, and user interactions. Using this pipeline, the dataset for this task was extracted, consisting of two main components:  Search Information – includes unique (anonymous) identifiers for individual user sessions, search queries, and the returned results.  Click Information – includes unique (anonymous) identifiers for individual user sessions, the links clicked within the results list, and the positions of the clicked links.  The documents in the collection were selected based on the search results of user queries. In addition to these selected documents, the collection also contains randomly chosen documents from the CORE index.  The test data was collected in January 2025. In total, the collection comprises 99 queries which were held out from the training queries (November 2024) and 492 test queries fopr the test data in January 2025. The document set consists of 124,045 downloaded, cleaned, and filtered scholarly articles.  This collection serves as the official testing dataset for the 2025 LongEval Information Retrieval Lab (https://clef-longeval.github.io/), organized at CLEF. It includes the relevance assessments for the test queries.  FWF Austrian Science Fund 013tf3c58 I4471-N Kodicare