2026-04-28T17:42:45Z https://researchdata.tuwien.ac.at/oai2d

oai:researchdata.tuwien.ac.at:th5h0-g5f51 2025-11-19T15:44:10Z openaire_data

4.3 TUW.TUDATA 10.48436/th5h0-g5f51 oai:researchdata.tuwien.ac.at:th5h0-g5f51 Devaud, Romain Romain Devaud El-Ebshihy, Alaa Alaa El-Ebshihy TU Wien Research Studios Austria Fink, Tobias Tobias Fink TU Wien Galuščáková, Petra Petra Galuščáková Goeuriot, Lorraine Lorraine Goeuriot Gonzalez-Saez, Gabriela Gabriela Gonzalez-Saez Iommi, David David Iommi Research Studios Austria Keller, Jüri Jüri Keller 0000-0002-9392-8646 TH Köln - University of Applied Sciences Mulhem, Philippe Philippe Mulhem Piroi, Florina Florina Piroi 0000-0001-7584-6439 TU Wien Popel, Martin Martin Popel TU Wien 2025 information retrieval evaluation campaign CLEF LongEval 2025-02-21 2025-11-19 10.48436/y60e9-k9b51 10.48436/xr350-79683 10.1145/3539618.3591921 10.48436/d987t-2qf34 1.0.0 Qwant LongEval Attribution-NonCommercial-ShareAlike License This dataset was used in the 2025 LongEval Information Retrieval Lab, organized at CLEF. Full info at https://clef-longeval.github.io/ The collection comprises queries and documents sourced from the Qwant search engine. The user-issued queries focus on selected trending topics. Documents were chosen based on these queries using Qwant's click model, with additional randomly selected documents from Qwant's index. Data collection occurred from June 2022 to February 2023, resulting in 9,000 training queries and 18 million associated documents. Relevance assessments, derived from the Qwant click model, are provided for these queries. The collection includes the original French version of the webpages and queries.  This data set contains both the training and the test data. The relevance assessments for the test topics used in the LongEval 2025 Lab, WebRetrieval task are contained in the file longeval_web_test_qrels.zip FWF Austrian Science Fund 013tf3c58 I 4471-N Kodicare