Datasets › XTREME
XTREME (Cross-Lingual Transfer Evaluation of Multilingual Encoders)
The Cross-lingual TRansfer Evaluation of Multilingual Encoders (XTREME) benchmark was introduced to encourage more research on multilingual transfer learning,. XTREME covers 40 typologically diverse languages spanning 12 language families and includes 9 tasks that require reasoning about different levels of syntax or semantics.
The languages in XTREME are selected to maximize language diversity, coverage in existing tasks, and availability of training data. The languages in XTREME are selected to maximize language diversity, coverage in existing tasks, and availability of training data. Among these are many under-studied languages, such as the Dravidian languages Tamil (spoken in southern India, Sri Lanka, and Singapore), Telugu and Malayalam (spoken mainly in southern India), and the Niger-Congo languages Swahili and Yoruba, spoken in Africa.
Benchmarks archive 2025-07-28
All 2 leaderboards 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) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Zero-Shot Cross-Lingual Transfer | XTREME | Turing ULR v6 Avg 85.5 | XLM-E: Cross-lingual Language Model Pre-training via ELECTRA | microsoft/unilm +2 | 25 | Compare |
| Token Classification | XTREME | no rows | — | — | 0 | Compare |
Papers archive 2025-07-28
7 shown of 7 papers 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 55. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| XLM-E: Cross-lingual Language Model Pre-training via ELECTRA | 3 | 2 | 30 Jun 2021 | not harvested |
| ERNIE-M: Enhanced Multilingual Representation by Aligning Cross-lingual Semantics with Monolingual Corpora | 2 | 1 | 31 Dec 2020 | ran 0 of 1 samples (1 unverified; 1 pointer-only for licence) |
| mT5: A massively multilingual pre-trained text-to-text transformer | 8 | 1 | 22 Oct 2020 | ran 0 of 13 samples (13 unverified) |
| FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding | 1 | 1 | 10 Sep 2020 | ran 2 of 2 samples (0 unverified) |
| InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training | 4 | 1 | 15 Jul 2020 | not harvested |
| English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too | 0 | 1 | 26 May 2020 | not harvested |
| XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation | 2 | 1 | 1 Jan 2020 | not harvested |
Dataset loaders archive 2025-07-28
2 loaders as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- XTREME
1 variant name, as the archive lists them.
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