Datasets › xMIND
xMIND (A Multilingual Dataset for Cross-lingual News Recommendation)
xMIND is an open, large-scale multilingual news dataset for multi- and cross-lingual news recommendation. xMIND is derived from the English MIND dataset using open-source neural machine translation (i.e., NLLB 3.3B).
xMIND contains 130K news translated into 14 linguistically and geographically diverse languages, with digital footprints of varying sizes. The goal of xMIND is to serve as a benchmark dataset for news recommendation, and to foster broader research into multilingual and cross-lingual news recommendation, for speakers of both high and low-resource languages.
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 3 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
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- xMIND
1 variant name, as the archive lists them.
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