Datasets › RTE
RTE (Recognizing Textual Entailment)
The Recognizing Textual Entailment (RTE) datasets come from a series of textual entailment challenges. Data from RTE1, RTE2, RTE3 and RTE5 is combined. Examples are constructed based on news and Wikipedia text.
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 | ||||
|---|---|---|---|---|---|---|
| Natural Language Inference | RTE | Vega v2 6B (KD-based prompt transfer) Accuracy 96% | Toward Efficient Language Model Pretraining and... | — | 90 | Compare |
| Classification | RTE | OPT-1.3B Test Accuracy 60.89% | Achieving Dimension-Free Communication in Federated... | ZidongLiu/DeComFL | 2 | Compare |
Papers archive 2025-07-28
30 shown of 48 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 56. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
The full list of 48 is in the JSON twin.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
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
No language tagged.
Variants archive 2025-07-28
- RTE
1 variant name, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections