Published May 5, 2025 | Version v1
Dataset Open

LongEval 2025 CORE Retrieval Test 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 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 – includes unique (anonymous) identifiers for individual user sessions, search queries, and the returned results. 
  2. Click Information – includes 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 test data was collected in January 2025. In total, the collection comprises 99 queries which were held out from the training queries (November 2024) and 492 test queries fopr the test data in January 2025. The document set consists of 124,045 downloaded, cleaned, and filtered scholarly articles. 

This collection serves as the official testing dataset for the 2025 LongEval Information Retrieval Lab (https://clef-longeval.github.io/), organized at CLEF. It includes the relevance assessments for the test queries. 

Files

Longeval_CORE_2025_test.pdf

Files (25.6 GiB)

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md5:995544a41eab8f08228a4cadeaf5d85e
104.1 KiBPreview Download
md5:48fb45104460820628df25241da1dadf
70.4 KiBPreview Download
md5:091cf1931a0b4b17358a580012183c5e
780.7 MiBPreview Download
md5:7c5e24e404642992bbe7434b801e4cee
24.8 GiBPreview Download

Additional details

Related works

Is supplement to
Dataset: 10.48436/r643n-yc044 (DOI)

Funding

FWF Austrian Science Fund
Kodicare I4471-N

References