LongEval Train 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 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. All the data were collected over June 2022. In total, the collection contains 672 train queries, with corresponding 9656 assessments coming from the Qwant click model, and 98 heldout queries. The set of documents consist of 1,570,734 downloaded, cleaned and filtered Web Pages. Apart from their original French versions, the collection also contains translations of the webpages and queries into English. The collection serves as the official training collection for the 2023 LongEval Information Retrieval Lab (https://clef-longeval.github.io/) organised at CLEF.

Identifier
PID http://hdl.handle.net/11234/1-5010
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:11234/1-5010
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; PUB; https://lindat.mff.cuni.cz/repository/xmlui/page/Qwant_LongEval_BY-NC-SA_License
OpenAccess true
Contact lindat-help(at)ufal.mff.cuni.cz
Representation
Language French; English
Resource Type corpus
Format application/x-gzip; text/plain; charset=utf-8; downloadable_files_count: 1
Discipline Linguistics