Published March 19, 2025 | Version v1
Dataset Open

LongEval 2025 CORE Retrieval Train Collection

  • 1. ROR icon The Open University
  • 2. ROR icon Research Studios Austria
  • 3. ROR icon TU Wien
  • 4. ROR icon TH Köln - University of Applied Sciences

Description

 

This dataset serves as the official training data for the 2025 LongEval Information Retrieval Lab (https://clef-longeval.github.io/), organized at CLEF.


This collection consists of queries and documents extracted from the CORE scholarly literature search engine (https://core.ac.uk/). The queries in this collection were issued by CORE users, and a specific pipeline was designed to capture user queries, their corresponding search results, and user interactions. Using this pipeline, the dataset for this task was extracted, consisting of two main components: 

  1. Search Information: unique, anonymous identifiers for individual user sessions, search queries, and the returned results. 
  2. Click Information: unique, anonymous identifiers for individual user sessions, the links clicked within the results list, and the positions of the clicked links. 

The documents in the collection were selected based on the search results of user queries. In addition to these selected documents, the collection also contains randomly chosen documents from the CORE index. 

The training data were collected from November to December 2024.

In total, the collection comprises 393 training queries with 4262 relevance assessments derived from a click model. The document set consists of 2014265 downloaded, cleaned, and filtered scholarly articles. 

Files

Longeval_CORE_2025.pdf

Files (22.1 GiB)

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md5:3554237bbe1997cd421efc58d9c2db0e
91.6 KiBPreview Download
md5:3918ccfc89653e878f54b06c311607c9
1.1 GiBPreview Download
md5:2c66646e59ecdef46de39f1b5c6e6650
21.1 GiBPreview Download

Additional details

Related works

Is described by
Publication: 10.1007/978-3-031-88720-8_58 (DOI)

Funding

FWF Austrian Science Fund
Kodicare I4471-N