LongEval 2024 Train Collection

DOI

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 January 2023. In total, the collection contains 599 train queries, with corresponding 9,785 relevance assessments coming from the Qwant click model. The set of documents consist of 2,049,729 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 2024 LongEval Information Retrieval Lab (https://clef-longeval.github.io/) organised at CLEF.   The data is released under the Qwant LongEval Attribution-NonCommercial-ShareAlike License.

Identifier
DOI https://doi.org/10.48436/y60e9-k9b51
Related Identifier IsVersionOf https://doi.org/10.48436/cn2kq-6b306
Metadata Access https://researchdata.tuwien.ac.at/oai2d?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:researchdata.tuwien.ac.at:y60e9-k9b51
Provenance
Creator Fink, Tobias; Piroi, Florina ORCID logo; Devaud, Romain; Galuščáková, Petra; Gonzalez-Saez, Gabriela; Iommi, David; Mulhem, Philippe; Goeuriot, Lorraine; Popel, Martin; El-Ebshihy, Alaa
Publisher TU Wien
Publication Year 2024
Rights Qwant LongEval Attribution-NonCommercial-ShareAlike License; https://lindat.mff.cuni.cz/repository/xmlui/page/Qwant_LongEval_BY-NC-SA_License
OpenAccess true
Contact tudata(at)tuwien.ac.at
Representation
Language English
Resource Type Dataset
Version 1.0.0
Discipline Other