LongEval Click-Model Relevance Judgements (Qrels)

  Authors

Galuščáková, Petra ; et al.show everyone

Galuščáková, Petra ; Devaud, Romain ; Gonzalez-Saez, Gabriela ; Mulhem, Philippe ; Goeuriot, Lorraine ; Piroi, Florina ; Popel, Martin

  Item identifier

http://hdl.handle.net/11234/1-5151

 Project URL

https://clef-longeval.github.io/

 Referenced by

https://arxiv.org/abs/2303.03229

 Date issued

2023-05-22

 Type

corpus, text

 Size

27104 units

 Language(s)

English , French

 Description

The collection comprises the relevance judgments used in the 2023 LongEval Information Retrieval Lab (https://clef-longeval.github.io/), organized at CLEF. It consists of three sets of relevance judgments: 1) Relevance judgments for the heldout queries from the LongEval Train Collection (http://hdl.handle.net/11234/1-5010). 2) Relevance judgments for the short-term persistence (sub-task A) queries from the LongEval Test Collection (http://hdl.handle.net/11234/1-5139). 3) Relevance judgments for the long-term persistence (sub-task B) queries from the LongEval Test Collection (http://hdl.handle.net/11234/1-5139). These judgments were provided by the Qwant search engine (https://www.qwant.com) and were generated using a click model. The click model output was based on the clicks of Qwant's users, but it mitigates noise from raw user clicks caused by positional bias and also better safeguards users' privacy. Consequently, it can serve as a reliable soft relevance estimate for evaluating and training models. The collection includes a total of 1,420 judgments for the heldout queries, with 74 considered highly relevant and 326 deemed relevant. For the short-term sub-task queries, there are 12,217 judgments, including 762 highly relevant and 2,608 relevant ones. As for the long-term sub-task queries, there are 13,467 judgments, with 936 being highly relevant and 2,899 relevant.

 Publisher

Université Grenoble Alpes

 Acknowledgement

French Agence Nationale de la Recherche

Project code: ANR-19-CE23-0029

Project name: Kodicare

 

Austrian Science Fund

Project code: I4471-N

Project name: Kodicare

 

Ministerstvo školství, mládeže a tělovýchovy České republiky

Project code: LM2018101

Project name: LINDAT/CLARIAH-CZ: Digitální výzkumná infrastruktura pro jazykové technologie, umění a humanitní vědy

 

Ministerstvo školství, mládeže a tělovýchovy České republiky

Project code: LM2023062

Project name: LINDAT/CLARIAH-CZ: Digitální výzkumná infrastruktura pro jazykové technologie, umění a humanitní vědy

 Subject(s)

information retrieval automatic evaluation evaluation

 Collection(s)

LINDAT / CLARIAH-CZ Data & Tools

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