Datasets › MSLR-WEB30K

MSLR-WEB30K

Introduced by Tao Qin et al. in Introducing LETOR 4.0 Datasets9 Jun 2013 archive 2025-07-28

The MSLR-WEB30K dataset consists of 30,000 search queries over the documents from search results. The data also contains the values of 136 features and a corresponding user-labeled relevance factor on a scale of one to five with respect to each query-document pair.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Information Retrieval MSLR-WEB30K Distilled Network nDCG@10 0.5259 Distilled Neural Networks for Efficient Learning to Rank hpclab/efficient_nn_for_ltr 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 31. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Distilled Neural Networks for Efficient Learning to Rank 1 1 22 Feb 2022 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Custom

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • MSLR-WEB30K

1 variant name, as the archive lists them.

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