LongEval Test Collection

PID

The collection consists of queries and documents provided by the Qwant search Engine (https://www.qwant.com). The queries, which were issued by the users of Qwant, are based on the selected trending topics. The documents in the collection are the webpages which were selected with respect to these queries using the Qwant click model. Apart from the documents selected using this model, the collection also contains randomly selected documents from the Qwant index.

The collection serves as the official test collection for the 2023 LongEval Information Retrieval Lab (https://clef-longeval.github.io/) organised at CLEF. The collection contains test datasets for two organized sub-tasks: short-term persistence (sub-task A) and long-term persistence (sub-task B). The data for the short-term persistence sub-task was collected over July 2022 and this dataset contains 1,593,376 documents and 882 queries. The data for the long-term persistence sub-task was collected over September 2022 and this dataset consists of 1,081,334 documents and 923 queries. Apart from the original French versions of the webpages and queries, the collection also contains their translations into English.

Identifier
PID http://hdl.handle.net/11234/1-5139
Related Identifier https://arxiv.org/abs/2303.03229
Related Identifier https://clef-longeval.github.io/
Metadata Access http://lindat.mff.cuni.cz/repository/oai/request?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:lindat.mff.cuni.cz:11234/1-5139
Provenance
Creator Galuščáková, Petra; Devaud, Romain; Gonzalez-Saez, Gabriela; Mulhem, Philippe; Goeuriot, Lorraine; Piroi, Florina; Popel, Martin
Publisher Université Grenoble Alpes; Qwant; Research Studios Austria; Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Publication Year 2023
Rights Qwant LongEval Attribution-NonCommercial-ShareAlike License; https://lindat.mff.cuni.cz/repository/xmlui/page/Qwant_LongEval_BY-NC-SA_License; PUB
OpenAccess true
Contact lindat-help(at)ufal.mff.cuni.cz
Representation
Language French; English
Resource Type corpus
Format text/plain; charset=utf-8; application/x-gzip; downloadable_files_count: 1
Discipline Linguistics