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dc.contributor.author Galuščáková, Petra
dc.contributor.author Devaud, Romain
dc.contributor.author Gonzalez-Saez, Gabriela
dc.contributor.author Mulhem, Philippe
dc.contributor.author Goeuriot, Lorraine
dc.contributor.author Piroi, Florina
dc.contributor.author Popel, Martin
dc.date.accessioned 2023-02-21T09:48:04Z
dc.date.available 2023-02-21T09:48:04Z
dc.date.issued 2023-02-16
dc.identifier.uri http://hdl.handle.net/11234/1-5010
dc.description 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.
dc.language.iso fra
dc.language.iso eng
dc.publisher Université Grenoble Alpes
dc.publisher Qwant
dc.publisher Research Studios Austria
dc.publisher Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
dc.rights Qwant LongEval Attribution-NonCommercial-ShareAlike License
dc.rights.uri https://lindat.mff.cuni.cz/repository/xmlui/page/Qwant_LongEval_BY-NC-SA_License
dc.source.uri https://clef-longeval.github.io/
dc.subject information retrieval
dc.subject parallel corpus
dc.subject search
dc.subject automatic evaluation
dc.title LongEval Train Collection
dc.type corpus
metashare.ResourceInfo#ContentInfo.mediaType text
dc.rights.label PUB
has.files yes
branding LINDAT / CLARIAH-CZ
contact.person Petra Galuščáková galuscakova@gmail.com Université Grenoble Alpes
sponsor Ministerstvo školství, mládeže a tělovýchovy České republiky LM2018101 LINDAT/CLARIAH-CZ: Digitální výzkumná infrastruktura pro jazykové technologie, umění a humanitní vědy nationalFunds
sponsor Ministerstvo školství, mládeže a tělovýchovy České republiky LM2023062 LINDAT/CLARIAH-CZ: Digitální výzkumná infrastruktura pro jazykové technologie, umění a humanitní vědy nationalFunds
sponsor French Agence Nationale de la Recherche ANR-19-CE23-0029 Kodicare Other
sponsor Austrian Science Fund I4471-N Kodicare Other
size.info 1570734 articles
size.info 672 other
files.size 12561428096
files.count 1


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