Datasets › Istella LETOR
Istella LETOR (Istella Learning to Rank)
The Istella LETOR full dataset is composed of 33,018 queries and 220 features representing each query-document pair. It consists of 10,454,629 examples labeled with relevance judgments ranging from 0 (irrelevant) to 4 (perfectly relevant). The average number of per-query examples is 316. It has been splitted in train and test sets according to a 80%-20% scheme.
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 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
Variants archive 2025-07-28
- Istella LETOR
1 variant name, as the archive lists them.
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