Datasets › MQ2007

MQ2007

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

The MQ2007 dataset consists of queries, corresponding retrieved documents and labels provided by human experts. The possible relevance labels for each document are “relevant”, “partially relevant”, and “not relevant”.

Source: ARSM GRADIENT ESTIMATOR FOR SUPERVISED LEARNING TO RANK

Homepage JSON

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 32 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Meta-Learning Information Retrieval Learning-To-Rank

License archive 2025-07-28

Custom

Modalities archive 2025-07-28

Ranking

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

MQ2007

1 variant name, as the archive lists them.

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